Version 4 NRCS statgraph
James Lin
5/16/2021
Has accurate standard errors
1 Set up
1.1 1) Load packages
1.2 2) Import data
1.3 3) Data Wrangling
1.4 4) Depth Wrangling
1.5 5) Theme James
2 Biological Graphs
2.1 B-Glucosidase
2.1.1 0-5 cm P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 406.69 203.34 2 19.197 1.4314 0.26336
## precip 762.23 762.23 1 29.735 5.3656 0.02762 *
## landuse:precip 55.90 27.95 2 19.197 0.1967 0.82304
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 2919.0 1459.50 2 27 29.2361 1.753e-07 ***
## precip 2990.0 1495.00 2 27 29.9472 1.403e-07 ***
## landuse:precip 1979.9 494.98 4 27 9.9152 4.539e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip lsmean SE df lower.CL upper.CL
## 472 18.8 2.04 13.5 14.4 23.2
## 579 40.2 2.04 13.5 35.8 44.5
## 850 23.9 2.04 13.5 19.5 28.3
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 579 40.2 2.04 13.5 35.8 44.5 a
## 850 23.9 2.04 13.5 19.5 28.3 b
## 472 18.8 2.04 13.5 14.4 23.2 b
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 1 579 40.15929 2.039632 13.5 35.76946 44.54911 a
## 3 850 23.88515 2.039632 13.5 19.49532 28.27497 b
## 2 472 18.78914 2.039632 13.5 14.39932 23.17897 b
2.1.2 5-10 cm
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 132.975 66.488 2 11.647 1.6235 0.2388
## precip 62.711 62.711 1 29.377 1.5313 0.2257
## landuse:precip 125.403 62.701 2 10.936 1.5311 0.25932.1.3 10-15 cm L+P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 77.959 38.980 2 21.012 4.9186 0.017694 *
## precip 85.348 85.348 1 28.016 10.7696 0.002765 **
## landuse:precip 34.545 17.272 2 21.012 2.1795 0.137998
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 165.906 82.953 2 27 13.9815 6.799e-05 ***
## precip 214.256 107.128 2 27 18.0562 1.052e-05 ***
## landuse:precip 88.463 22.116 4 27 3.7275 0.01534 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## landuse lsmean SE df lower.CL upper.CL
## AG 8.65 0.703 24.3 7.20 10.1
## EA 9.13 0.703 24.3 7.68 10.6
## NP 13.42 0.703 24.3 11.97 14.9
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse lsmean SE df lower.CL upper.CL .group
## NP 13.42 0.703 24.3 11.97 14.9 a
## EA 9.13 0.703 24.3 7.68 10.6 b
## AG 8.65 0.703 24.3 7.20 10.1 b
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse lsmean SE df lower.CL upper.CL .group
## 1 NP 13.424425 0.7031503 24.3 11.974142 14.87471 a
## 2 EA 9.125530 0.7031503 24.3 7.675246 10.57581 b
## 3 AG 8.652411 0.7031503 24.3 7.202128 10.10269 b
## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 165.906 82.953 2 27 13.9815 6.799e-05 ***
## precip 214.256 107.128 2 27 18.0562 1.052e-05 ***
## landuse:precip 88.463 22.116 4 27 3.7275 0.01534 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip lsmean SE df lower.CL upper.CL
## 472 8.22 0.703 13.5 6.71 9.73
## 579 13.81 0.703 13.5 12.29 15.32
## 850 9.17 0.703 13.5 7.66 10.69
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 579 13.81 0.703 13.5 12.29 15.32 a
## 850 9.17 0.703 13.5 7.66 10.69 b
## 472 8.22 0.703 13.5 6.71 9.73 b
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 1 579 13.806733 0.7031503 13.5 12.293368 15.320097 a
## 3 850 9.174260 0.7031503 13.5 7.660896 10.687625 b
## 2 472 8.221373 0.7031503 13.5 6.708009 9.734738 b
2.2 Glucosaminidase
2.2.1 0-5 cm L*P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.174 0.087 2 21.216 0.0105 0.98958
## precip 48.786 48.786 1 29.692 5.8617 0.02180 *
## landuse:precip 66.237 33.118 2 21.216 3.9793 0.03408 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 1021.33 510.66 2 19.493 67.2371 1.786e-09 ***
## precip 61.41 30.71 2 6.888 4.0429 0.06895 .
## landuse:precip 96.68 24.17 4 19.493 3.1823 0.03617 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip lsmean SE df lower.CL upper.CL
## 472 12.0 1.28 7.59 9.07 15.0
## 579 13.3 1.28 7.59 10.35 16.3
## 850 10.1 1.28 7.59 7.15 13.1
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 579 13.3 1.28 7.59 10.35 16.3 a
## 472 12.0 1.28 7.59 9.07 15.0 ab
## 850 10.1 1.28 7.59 7.15 13.1 b
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 3 579 13.31379 1.27514 7.586872 10.345208 16.28237 a
## 1 472 12.04215 1.27514 7.586872 9.073567 15.01073 ab
## 2 850 10.12164 1.27514 7.586872 7.153057 13.09022 b
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.174 0.087 2 21.216 0.0105 0.98958
## precip 48.786 48.786 1 29.692 5.8617 0.02180 *
## landuse:precip 66.237 33.118 2 21.216 3.9793 0.03408 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 1021.33 510.66 2 19.493 67.2371 1.786e-09 ***
## precip 61.41 30.71 2 6.888 4.0429 0.06895 .
## landuse:precip 96.68 24.17 4 19.493 3.1823 0.03617 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 8.53 1.7 18.7 4.97 12.10
## EA 11.22 1.7 18.7 7.66 14.78
## NP 16.37 1.7 18.7 12.81 19.94
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 5.69 1.7 18.7 2.13 9.26
## EA 14.10 1.7 18.7 10.53 17.66
## NP 20.15 1.7 18.7 16.59 23.71
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 2.11 1.7 18.7 -1.45 5.67
## EA 9.33 1.7 18.7 5.77 12.89
## NP 18.92 1.7 18.7 15.36 22.49
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 16.37 1.7 18.7 12.81 19.94 a
## EA 11.22 1.7 18.7 7.66 14.78 b
## AG 8.53 1.7 18.7 4.97 12.10 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 20.15 1.7 18.7 16.59 23.71 a
## EA 14.10 1.7 18.7 10.53 17.66 b
## AG 5.69 1.7 18.7 2.13 9.26 c
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 18.92 1.7 18.7 15.36 22.49 a
## EA 9.33 1.7 18.7 5.77 12.89 b
## AG 2.11 1.7 18.7 -1.45 5.67 c
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 NP 472 16.374757 1.700531 18.68356 12.811419 19.938094 a
## 2 EA 472 11.218369 1.700531 18.68356 7.655032 14.781707 b
## 3 AG 472 8.533324 1.700531 18.68356 4.969986 12.096662 b
## 4 NP 579 20.151593 1.700531 18.68356 16.588256 23.714931 a
## 5 EA 579 14.095959 1.700531 18.68356 10.532622 17.659297 b
## 6 AG 579 5.693820 1.700531 18.68356 2.130482 9.257157 c
## 7 NP 850 18.924386 1.700531 18.68356 15.361048 22.487724 a
## 8 EA 850 9.331009 1.700531 18.68356 5.767671 12.894346 b
## 9 AG 850 2.109527 1.700531 18.68356 -1.453810 5.672865 c## precip landuse lsmean SE df lower.CL upper.CL .group
## 1 472 AG 8.533324 1.700531 18.68356 4.969986 12.096662 b
## 2 472 EA 11.218369 1.700531 18.68356 7.655032 14.781707 b
## 3 472 NP 16.374757 1.700531 18.68356 12.811419 19.938094 a
## 4 579 AG 5.693820 1.700531 18.68356 2.130482 9.257157 c
## 5 579 EA 14.095959 1.700531 18.68356 10.532622 17.659297 b
## 6 579 NP 20.151593 1.700531 18.68356 16.588256 23.714931 a
## 7 850 AG 2.109527 1.700531 18.68356 -1.453810 5.672865 c
## 8 850 EA 9.331009 1.700531 18.68356 5.767671 12.894346 b
## 9 850 NP 18.924386 1.700531 18.68356 15.361048 22.487724 a
## location n mean sd se
## 1 Tribune 4 8.533324 1.1134007 0.5567003
## 2 Tribune 4 11.218369 8.0425920 4.0212960
## 3 Tribune 4 16.374757 2.7158067 1.3579033
## 4 Hays 4 5.693820 1.3139135 0.6569568
## 5 Hays 4 14.095959 3.6548244 1.8274122
## 6 Hays 4 20.151594 0.8800684 0.4400342
## 7 Manhattan 4 2.109527 0.3738897 0.1869449
## 8 Manhattan 4 9.331009 0.3141392 0.1570696
## 9 Manhattan 4 18.924386 2.5837112 1.2918556
2.2.2 5-10 cm L*P
did not change landuse se values only did landuse and precip interaction
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 28.497 14.248 2 24.271 7.1049 0.003724 **
## precip 0.013 0.013 1 28.446 0.0066 0.935626
## landuse:precip 76.829 38.414 2 23.760 19.1554 1.111e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 28.497 14.248 2 24.271 7.1049 0.003724 **
## precip 0.013 0.013 1 28.446 0.0066 0.935626
## landuse:precip 76.829 38.414 2 23.760 19.1554 1.111e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## landuse lsmean SE df lower.CL upper.CL
## AG 4.76 0.813 11.6 2.98 6.54
## EA 4.69 0.722 10.1 3.08 6.30
## NP 11.34 0.722 10.1 9.73 12.95
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse lsmean SE df lower.CL upper.CL .group
## NP 11.34 0.722 10.1 9.73 12.95 a
## AG 4.76 0.813 11.6 2.98 6.54 b
## EA 4.69 0.722 10.1 3.08 6.30 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse lsmean SE df lower.CL upper.CL .group
## 2 NP 11.340304 0.7218120 10.05769 9.733256 12.947352 a
## 1 AG 4.761182 0.8125304 11.63811 2.984705 6.537658 b
## 3 EA 4.687993 0.7218120 10.05769 3.080945 6.295041 b
## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 316.19 158.094 2 19.0440 72.1280 1.3e-09 ***
## precip 0.05 0.025 2 9.1102 0.0114 0.988725
## landuse:precip 69.00 17.250 4 15.9060 7.8700 0.001066 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 6.97 1.15 11.4 4.455 9.48
## EA 4.24 1.15 11.4 1.725 6.76
## NP 9.48 1.15 11.4 6.966 12.00
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 5.40 1.15 11.4 2.881 7.91
## EA 4.87 1.15 11.4 2.358 7.39
## NP 10.64 1.15 11.4 8.130 13.16
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 2.12 1.15 11.4 -0.393 4.64
## EA 5.02 1.15 11.4 2.504 7.53
## NP 13.96 1.15 11.4 11.448 16.48
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 9.48 1.15 11.4 6.966 12.00 a
## AG 6.97 1.15 11.4 4.455 9.48 ab
## EA 4.24 1.15 11.4 1.725 6.76 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 10.64 1.15 11.4 8.130 13.16 a
## AG 5.40 1.15 11.4 2.881 7.91 b
## EA 4.87 1.15 11.4 2.358 7.39 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 13.96 1.15 11.4 11.448 16.48 a
## EA 5.02 1.15 11.4 2.504 7.53 b
## AG 2.12 1.15 11.4 -0.393 4.64 c
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 2 NP 472 9.481236 1.148036 11.44541 6.9663719 11.996100 a
## 1 AG 472 6.969692 1.148036 11.44541 4.4548283 9.484556 ab
## 3 EA 472 4.240214 1.148036 11.44541 1.7253496 6.755077 b
## 5 NP 579 10.644967 1.148036 11.44541 8.1301032 13.159831 a
## 4 AG 579 5.395481 1.148036 11.44541 2.8806173 7.910345 b
## 6 EA 579 4.872860 1.148036 11.44541 2.3579962 7.387724 b
## 7 NP 850 13.962659 1.148036 11.44541 11.4477952 16.477523 a
## 8 EA 850 5.018855 1.148036 11.44541 2.5039916 7.533719 b
## 9 AG 850 2.122223 1.148036 11.44541 -0.3926413 4.637087 c## precip landuse lsmean SE df lower.CL upper.CL .group
## 1 472 AG 6.969692 1.148036 11.44541 4.4548283 9.484556 ab
## 2 472 EA 4.240214 1.148036 11.44541 1.7253496 6.755077 b
## 3 472 NP 9.481236 1.148036 11.44541 6.9663719 11.996100 a
## 4 579 AG 5.395481 1.148036 11.44541 2.8806173 7.910345 b
## 5 579 EA 4.872860 1.148036 11.44541 2.3579962 7.387724 b
## 6 579 NP 10.644967 1.148036 11.44541 8.1301032 13.159831 a
## 7 850 AG 2.122223 1.148036 11.44541 -0.3926413 4.637087 c
## 8 850 EA 5.018855 1.148036 11.44541 2.5039916 7.533719 b
## 9 850 NP 13.962659 1.148036 11.44541 11.4477952 16.477523 a
## location n mean sd se
## 1 Tribune 4 6.969692 1.6392338 0.8196169
## 2 Tribune 4 4.240214 3.1175334 1.5587667
## 3 Tribune 4 9.481236 3.1945602 1.5972801
## 4 Hays 4 5.395481 2.1027724 1.0513862
## 5 Hays 4 4.872860 1.5922687 0.7961343
## 6 Hays 4 10.644967 1.4405592 0.7202796
## 7 Manhattan 4 2.122223 0.3091495 0.1545748
## 8 Manhattan 4 5.018855 0.3755226 0.1877613
## 9 Manhattan 4 13.962659 1.8422634 0.9211317
2.2.3 10-15 cm L*P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 3.751 1.8756 2 30 1.5555 0.22764
## precip 4.931 4.9309 1 30 4.0892 0.05215 .
## landuse:precip 33.375 16.6873 2 30 13.8389 5.517e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 265.143 132.571 2 27 127.5786 1.745e-14 ***
## precip 10.113 5.057 2 27 4.8662 0.0156764 *
## landuse:precip 36.310 9.078 4 27 8.7357 0.0001166 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 3.59 0.51 27 2.55 4.64
## EA 2.47 0.51 27 1.43 3.52
## NP 6.50 0.51 27 5.45 7.54
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 3.16 0.51 27 2.12 4.21
## EA 3.86 0.51 27 2.82 4.91
## NP 8.96 0.51 27 7.92 10.01
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 2.26 0.51 27 1.21 3.31
## EA 2.75 0.51 27 1.71 3.80
## NP 10.87 0.51 27 9.82 11.91
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 6.50 0.51 27 5.45 7.54 a
## AG 3.59 0.51 27 2.55 4.64 b
## EA 2.47 0.51 27 1.43 3.52 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 8.96 0.51 27 7.92 10.01 a
## EA 3.86 0.51 27 2.82 4.91 b
## AG 3.16 0.51 27 2.12 4.21 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 10.87 0.51 27 9.82 11.91 a
## EA 2.75 0.51 27 1.71 3.80 b
## AG 2.26 0.51 27 1.21 3.31 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 2 NP 472 6.495736 0.5096899 27 5.449939 7.541534 a
## 1 AG 472 3.592756 0.5096899 27 2.546958 4.638553 b
## 3 EA 472 2.473458 0.5096899 27 1.427661 3.519255 b
## 4 NP 579 8.962847 0.5096899 27 7.917049 10.008644 a
## 5 EA 579 3.863588 0.5096899 27 2.817790 4.909385 b
## 6 AG 579 3.163233 0.5096899 27 2.117436 4.209030 b
## 7 NP 850 10.865018 0.5096899 27 9.819221 11.910815 a
## 8 EA 850 2.752753 0.5096899 27 1.706956 3.798551 b
## 9 AG 850 2.259754 0.5096899 27 1.213957 3.305552 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 3.592756 0.5096899 27 2.546958 4.638553 b Tribune 4
## 2 472 EA 2.473458 0.5096899 27 1.427661 3.519255 b Tribune 4
## 3 472 NP 6.495736 0.5096899 27 5.449939 7.541534 a Tribune 4
## 4 579 AG 3.163233 0.5096899 27 2.117436 4.209030 b Hays 4
## 5 579 EA 3.863588 0.5096899 27 2.817790 4.909385 b Hays 4
## 6 579 NP 8.962847 0.5096899 27 7.917049 10.008644 a Hays 4
## 7 850 AG 2.259754 0.5096899 27 1.213957 3.305552 b Manhattan 4
## 8 850 EA 2.752753 0.5096899 27 1.706956 3.798551 b Manhattan 4
## 9 850 NP 10.865018 0.5096899 27 9.819221 11.910815 a Manhattan 4
## mean sd se
## 1 3.592756 0.5598079 0.27990395
## 2 2.473458 0.3228264 0.16141321
## 3 6.495736 1.2065461 0.60327303
## 4 3.163233 0.8529365 0.42646824
## 5 3.863588 0.1800028 0.09000141
## 6 8.962846 1.2775494 0.63877468
## 7 2.259755 0.4110392 0.20551962
## 8 2.752753 0.6408971 0.32044855
## 9 10.865018 2.1229991 1.06149957
2.3 Acid Phosphatase
2.3.1 0-5 cm P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 9933.8 4966.9 2 19.488 2.8414 0.08263 .
## precip 13022.4 13022.4 1 29.633 7.4498 0.01057 *
## landuse:precip 9553.6 4776.8 2 19.488 2.7327 0.08992 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 265172 132586 2 20.2421 355.867 < 2.2e-16 ***
## precip 32076 16038 2 8.2925 43.047 4.175e-05 ***
## landuse:precip 39710 9927 4 20.2421 26.646 8.166e-08 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip lsmean SE df lower.CL upper.CL
## 472 110 6.73 9.68 94.7 125
## 579 182 6.73 9.68 167.2 197
## 850 119 6.73 9.68 104.3 134
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 579 182 6.73 9.68 167.2 197 a
## 850 119 6.73 9.68 104.3 134 b
## 472 110 6.73 9.68 94.7 125 b
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 1 579 182.2288 6.734382 9.676881 167.15546 197.3021 a
## 3 850 119.3474 6.734382 9.676881 104.27409 134.4208 b
## 2 472 109.7360 6.734382 9.676881 94.66269 124.8094 b
2.3.2 5-10 cm L*P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 9352.2 4676.1 2 30 6.2452 0.005401 **
## precip 4163.5 4163.5 1 30 5.5605 0.025084 *
## landuse:precip 6416.6 3208.3 2 30 4.2849 0.023074 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 85297 42649 2 27 97.4347 4.478e-13 ***
## precip 7908 3954 2 27 9.0333 0.0009917 ***
## landuse:precip 13316 3329 4 27 7.6056 0.0003070 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## landuse lsmean SE df lower.CL upper.CL
## AG 46.5 6.04 14.8 33.6 59.4
## EA 60.2 6.04 24.8 47.7 72.6
## NP 155.9 6.04 24.8 143.5 168.4
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse lsmean SE df lower.CL upper.CL .group
## NP 155.9 6.04 24.8 143.5 168.4 a
## EA 60.2 6.04 24.8 47.7 72.6 b
## AG 46.5 6.04 14.8 33.6 59.4 b
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse lsmean SE df lower.CL upper.CL .group
## 1 NP 155.92509 6.039549 24.75 143.48004 168.37015 a
## 2 EA 60.16690 6.039549 24.75 47.72184 72.61196 b
## 3 AG 46.52442 6.039549 14.85 33.64009 59.40874 b
## precip lsmean SE df lower.CL upper.CL
## 472 88.4 6.04 24.8 76.0 100.9
## 579 105.2 6.04 14.8 92.3 118.1
## 850 69.0 6.04 14.8 56.1 81.8
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 579 105.2 6.04 14.8 92.3 118.1 a
## 472 88.4 6.04 24.8 76.0 100.9 a
## 850 69.0 6.04 14.8 56.1 81.8 b
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 3 579 105.22521 6.039549 14.85 92.34088 118.10954 a
## 1 472 88.43687 6.039549 24.75 75.99181 100.88193 a
## 2 850 68.95433 6.039549 14.85 56.07001 81.83866 b
## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 75.83 10.5 27 54.4 97.3
## EA 52.64 10.5 27 31.2 74.1
## NP 136.85 10.5 27 115.4 158.3
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 54.09 10.5 27 32.6 75.6
## EA 61.56 10.5 27 40.1 83.0
## NP 200.03 10.5 27 178.6 221.5
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 9.66 10.5 27 -11.8 31.1
## EA 66.30 10.5 27 44.8 87.8
## NP 130.90 10.5 27 109.4 152.4
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 136.85 10.5 27 115.4 158.3 a
## AG 75.83 10.5 27 54.4 97.3 b
## EA 52.64 10.5 27 31.2 74.1 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 200.03 10.5 27 178.6 221.5 a
## EA 61.56 10.5 27 40.1 83.0 b
## AG 54.09 10.5 27 32.6 75.6 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 130.90 10.5 27 109.4 152.4 a
## EA 66.30 10.5 27 44.8 87.8 b
## AG 9.66 10.5 27 -11.8 31.1 c
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 2 NP 472 136.845849 10.46081 27 115.38205 158.30965 a
## 1 AG 472 75.825188 10.46081 27 54.36139 97.28899 b
## 3 EA 472 52.639563 10.46081 27 31.17576 74.10336 b
## 4 NP 579 200.028036 10.46081 27 178.56423 221.49184 a
## 5 EA 579 61.561062 10.46081 27 40.09726 83.02486 b
## 6 AG 579 54.086524 10.46081 27 32.62272 75.55033 b
## 7 NP 850 130.901396 10.46081 27 109.43759 152.36520 a
## 8 EA 850 66.300074 10.46081 27 44.83627 87.76388 b
## 9 AG 850 9.661535 10.46081 27 -11.80227 31.12534 c## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 75.825188 10.46081 27 54.36139 97.28899 b Tribune 4
## 2 472 EA 52.639563 10.46081 27 31.17576 74.10336 b Tribune 4
## 3 472 NP 136.845849 10.46081 27 115.38205 158.30965 a Tribune 4
## 4 579 AG 54.086524 10.46081 27 32.62272 75.55033 b Hays 4
## 5 579 EA 61.561062 10.46081 27 40.09726 83.02486 b Hays 4
## 6 579 NP 200.028036 10.46081 27 178.56423 221.49184 a Hays 4
## 7 850 AG 9.661535 10.46081 27 -11.80227 31.12534 c Manhattan 4
## 8 850 EA 66.300074 10.46081 27 44.83627 87.76388 b Manhattan 4
## 9 850 NP 130.901396 10.46081 27 109.43759 152.36520 a Manhattan 4
## mean sd se
## 1 75.825188 11.894437 5.9472184
## 2 52.639563 19.813553 9.9067765
## 3 136.845849 42.416420 21.2082098
## 4 54.086524 9.064335 4.5321674
## 5 61.561062 3.354614 1.6773072
## 6 200.028036 11.246036 5.6230180
## 7 9.661535 1.349821 0.6749107
## 8 66.300074 12.154755 6.0773775
## 9 130.901396 35.167724 17.5838618
2.3.3 10-15 cm P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 2692.8 1346.4 2 30 2.4621 0.102314
## precip 7199.4 7199.4 1 30 13.1651 0.001048 **
## landuse:precip 877.1 438.5 2 30 0.8019 0.457838
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 33885 16942.6 2 27 59.8329 1.197e-10 ***
## precip 9346 4673.0 2 27 16.5026 2.079e-05 ***
## landuse:precip 7491 1872.6 4 27 6.6132 0.0007607 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip lsmean SE df lower.CL upper.CL
## 472 75.5 4.86 13.5 65.1 86.0
## 579 84.2 4.86 13.5 73.8 94.7
## 850 46.5 4.86 13.5 36.1 57.0
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 579 84.2 4.86 13.5 73.8 94.7 a
## 472 75.5 4.86 13.5 65.1 86.0 a
## 850 46.5 4.86 13.5 36.1 57.0 b
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 3 579 84.21449 4.857691 13.5 73.75947 94.66952 a
## 1 472 75.53836 4.857691 13.5 65.08334 85.99339 a
## 2 850 46.53298 4.857691 13.5 36.07795 56.98801 b
2.4 Alkaline Phosphatase
2.4.1 0-5 cm L*P
did not do SE for land use
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 6274.1 3137.06 2 21.902 14.7820 8.645e-05 ***
## precip 758.2 758.22 1 21.925 3.5728 0.07203 .
## landuse:precip 2161.8 1080.88 2 21.902 5.0932 0.01526 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 26411.8 13205.9 2 21.808 128.5598 8.521e-13 ***
## precip 1347.3 673.7 2 10.606 6.5582 0.014 *
## landuse:precip 4519.6 1129.9 4 21.808 10.9997 4.880e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## landuse lsmean SE df lower.CL upper.CL
## AG 24.2 3.27 18.5 17.3 31.1
## EA 35.1 3.27 18.5 28.2 41.9
## NP 86.3 3.27 18.5 79.5 93.2
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse lsmean SE df lower.CL upper.CL .group
## NP 86.3 3.27 18.5 79.5 93.2 a
## EA 35.1 3.27 18.5 28.2 41.9 b
## AG 24.2 3.27 18.5 17.3 31.1 c
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse lsmean SE df lower.CL upper.CL .group
## 1 NP 86.31681 3.273376 18.53298 79.45386 93.17977 a
## 2 EA 35.08142 3.273376 18.53298 28.21846 41.94438 b
## 3 AG 24.19335 3.273376 18.53298 17.33039 31.05631 c
## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 11.8 5.44 25.3 0.637 23.0
## EA 18.2 5.44 25.3 7.008 29.4
## NP 82.7 5.44 25.3 71.536 93.9
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 12.9 5.44 25.3 1.751 24.1
## EA 56.1 5.44 25.3 44.885 67.3
## NP 94.1 5.44 25.3 82.860 105.2
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 47.8 5.44 25.3 36.619 59.0
## EA 31.0 5.44 25.3 19.778 42.2
## NP 82.2 5.44 25.3 70.981 93.4
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 82.7 5.44 25.3 71.536 93.9 a
## EA 18.2 5.44 25.3 7.008 29.4 b
## AG 11.8 5.44 25.3 0.637 23.0 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 94.1 5.44 25.3 82.860 105.2 a
## EA 56.1 5.44 25.3 44.885 67.3 b
## AG 12.9 5.44 25.3 1.751 24.1 c
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 82.2 5.44 25.3 70.981 93.4 a
## AG 47.8 5.44 25.3 36.619 59.0 b
## EA 31.0 5.44 25.3 19.778 42.2 c
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 NP 472 82.72739 5.436833 25.2876 71.5364806 93.91831 a
## 2 EA 472 18.19938 5.436833 25.2876 7.0084641 29.39029 b
## 3 AG 472 11.82769 5.436833 25.2876 0.6367806 23.01861 b
## 4 NP 579 94.05087 5.436833 25.2876 82.8599553 105.24178 a
## 5 EA 579 56.07564 5.436833 25.2876 44.8847300 67.26656 b
## 6 AG 579 12.94232 5.436833 25.2876 1.7514103 24.13324 c
## 8 NP 850 82.17218 5.436833 25.2876 70.9812688 93.36310 a
## 7 AG 850 47.81004 5.436833 25.2876 36.6191264 59.00095 b
## 9 EA 850 30.96925 5.436833 25.2876 19.7783355 42.16016 c## precip landuse lsmean SE df lower.CL upper.CL .group
## 1 472 AG 11.82769 5.436833 25.2876 0.6367806 23.01861 b
## 2 472 EA 18.19938 5.436833 25.2876 7.0084641 29.39029 b
## 3 472 NP 82.72739 5.436833 25.2876 71.5364806 93.91831 a
## 4 579 AG 12.94232 5.436833 25.2876 1.7514103 24.13324 c
## 5 579 EA 56.07564 5.436833 25.2876 44.8847300 67.26656 b
## 6 579 NP 94.05087 5.436833 25.2876 82.8599553 105.24178 a
## 7 850 AG 47.81004 5.436833 25.2876 36.6191264 59.00095 b
## 8 850 EA 30.96925 5.436833 25.2876 19.7783355 42.16016 c
## 9 850 NP 82.17218 5.436833 25.2876 70.9812688 93.36310 a
## location n mean sd se
## 1 Tribune 4 11.82769 3.511280 1.7556398
## 2 Tribune 4 18.19938 11.038924 5.5194620
## 3 Tribune 4 82.72739 8.045277 4.0226386
## 4 Hays 4 12.94232 1.081332 0.5406662
## 5 Hays 4 56.07564 25.083108 12.5415541
## 6 Hays 4 94.05087 6.609117 3.3045584
## 7 Manhattan 4 47.81004 3.157565 1.5787824
## 8 Manhattan 4 30.96925 3.864476 1.9322380
## 9 Manhattan 4 82.17218 13.086676 6.5433378
2.4.2 5-10 cm L*P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 5806.7 2903.36 2 27 48.8669 1.066e-09 ***
## precip 697.6 348.80 2 27 5.8708 0.007639 **
## landuse:precip 3257.7 814.43 4 27 13.7078 3.170e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 5806.7 2903.36 2 27 48.8669 1.066e-09 ***
## precip 697.6 348.80 2 27 5.8708 0.007639 **
## landuse:precip 3257.7 814.43 4 27 13.7078 3.170e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## landuse lsmean SE df lower.CL upper.CL
## AG 22.9 2.23 14.8 18.17 27.7
## EA 13.0 2.23 24.8 8.38 17.5
## NP 43.5 2.23 24.8 38.88 48.0
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse lsmean SE df lower.CL upper.CL .group
## NP 43.5 2.23 24.8 38.88 48.0 a
## AG 22.9 2.23 14.8 18.17 27.7 b
## EA 13.0 2.23 24.8 8.38 17.5 c
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse lsmean SE df lower.CL upper.CL .group
## 2 NP 43.46246 2.225116 24.75 38.877396 48.04752 a
## 1 AG 22.91538 2.225116 14.85 18.168486 27.66228 b
## 3 EA 12.96014 2.225116 24.75 8.375082 17.54520 c
## precip lsmean SE df lower.CL upper.CL
## 472 22.2 2.23 24.8 17.7 26.8
## 579 24.6 2.23 14.8 19.8 29.3
## 850 32.5 2.23 14.8 27.8 37.3
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 850 32.5 2.23 14.8 27.8 37.3 a
## 579 24.6 2.23 14.8 19.8 29.3 b
## 472 22.2 2.23 24.8 17.7 26.8 b
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 1 850 32.52672 2.225116 14.85 27.77982 37.27361 a
## 2 579 24.56131 2.225116 14.85 19.81442 29.30821 b
## 3 472 22.24995 2.225116 24.75 17.66489 26.83501 b
## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 8.84 3.85 27 0.929 16.7
## EA 14.07 3.85 27 6.159 22.0
## NP 43.85 3.85 27 35.938 51.8
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 11.90 3.85 27 3.989 19.8
## EA 15.41 3.85 27 7.501 23.3
## NP 46.38 3.85 27 38.471 54.3
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 48.01 3.85 27 40.104 55.9
## EA 9.40 3.85 27 1.497 17.3
## NP 40.16 3.85 27 32.255 48.1
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 43.85 3.85 27 35.938 51.8 a
## EA 14.07 3.85 27 6.159 22.0 b
## AG 8.84 3.85 27 0.929 16.7 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 46.38 3.85 27 38.471 54.3 a
## EA 15.41 3.85 27 7.501 23.3 b
## AG 11.90 3.85 27 3.989 19.8 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 48.01 3.85 27 40.104 55.9 a
## NP 40.16 3.85 27 32.255 48.1 a
## EA 9.40 3.85 27 1.497 17.3 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 NP 472 43.845743 3.854013 27 35.9379608 51.75353 a
## 2 EA 472 14.066993 3.854013 27 6.1592110 21.97478 b
## 3 AG 472 8.837121 3.854013 27 0.9293387 16.74490 b
## 4 NP 579 46.378364 3.854013 27 38.4705820 54.28615 a
## 5 EA 579 15.408482 3.854013 27 7.5006995 23.31626 b
## 6 AG 579 11.897095 3.854013 27 3.9893128 19.80488 b
## 8 AG 850 48.011935 3.854013 27 40.1041524 55.91972 a
## 9 NP 850 40.163259 3.854013 27 32.2554765 48.07104 a
## 7 EA 850 9.404951 3.854013 27 1.4971690 17.31273 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 8.837121 3.854013 27 0.9293387 16.74490 b Tribune 4
## 2 472 EA 14.066993 3.854013 27 6.1592110 21.97478 b Tribune 4
## 3 472 NP 43.845743 3.854013 27 35.9379608 51.75353 a Tribune 4
## 4 579 AG 11.897095 3.854013 27 3.9893128 19.80488 b Hays 4
## 5 579 EA 15.408482 3.854013 27 7.5006995 23.31626 b Hays 4
## 6 579 NP 46.378364 3.854013 27 38.4705820 54.28615 a Hays 4
## 7 850 AG 48.011935 3.854013 27 40.1041524 55.91972 a Manhattan 4
## 8 850 EA 9.404951 3.854013 27 1.4971690 17.31273 b Manhattan 4
## 9 850 NP 40.163259 3.854013 27 32.2554765 48.07104 a Manhattan 4
## mean sd se
## 1 8.837121 2.411700 1.2058502
## 2 14.066993 10.289012 5.1445061
## 3 43.845743 9.675604 4.8378020
## 4 11.897095 2.295159 1.1475796
## 5 15.408482 10.360296 5.1801482
## 6 46.378364 5.967996 2.9839979
## 7 48.011935 2.717338 1.3586689
## 8 9.404951 1.402325 0.7011624
## 9 40.163259 13.109341 6.5546704
2.5 10-15 cm L*P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 2020.8 1010.39 2 30 10.4876 0.0003519 ***
## precip 424.9 424.90 1 30 4.4103 0.0442347 *
## landuse:precip 1790.5 895.26 2 30 9.2926 0.0007232 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 2738.95 1369.48 2 27 16.6134 1.978e-05 ***
## precip 433.98 216.99 2 27 2.6323 0.0902803 .
## landuse:precip 2446.00 611.50 4 27 7.4182 0.0003628 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## landuse lsmean SE df lower.CL upper.CL
## AG 26.2 2.62 24.3 20.8 31.6
## EA 18.3 2.62 24.3 12.8 23.7
## NP 39.4 2.62 24.3 34.0 44.8
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse lsmean SE df lower.CL upper.CL .group
## NP 39.4 2.62 24.3 34.0 44.8 a
## AG 26.2 2.62 24.3 20.8 31.6 b
## EA 18.3 2.62 24.3 12.8 23.7 c
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse lsmean SE df lower.CL upper.CL .group
## 2 NP 39.40352 2.620945 24.3 33.99769 44.80935 a
## 1 AG 26.21479 2.620945 24.3 20.80896 31.62062 b
## 3 EA 18.25195 2.620945 24.3 12.84612 23.65779 c
## precip lsmean SE df lower.CL upper.CL
## 472 31.9 2.62 13.5 26.3 37.6
## 579 28.4 2.62 13.5 22.8 34.1
## 850 23.5 2.62 13.5 17.8 29.1
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 472 31.9 2.62 13.5 26.3 37.6 a
## 579 28.4 2.62 13.5 22.8 34.1 ab
## 850 23.5 2.62 13.5 17.8 29.1 b
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 3 472 31.94195 2.620945 13.5 26.30099 37.58292 a
## 2 579 28.44832 2.620945 13.5 22.80736 34.08929 ab
## 1 850 23.47999 2.620945 13.5 17.83902 29.12095 b
## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 26.00 4.54 27 16.7 35.3
## EA 24.34 4.54 27 15.0 33.7
## NP 45.49 4.54 27 36.2 54.8
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 15.01 4.54 27 5.7 24.3
## EA 24.21 4.54 27 14.9 33.5
## NP 46.13 4.54 27 36.8 55.4
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 37.64 4.54 27 28.3 47.0
## EA 6.21 4.54 27 -3.1 15.5
## NP 26.59 4.54 27 17.3 35.9
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 45.49 4.54 27 36.2 54.8 a
## AG 26.00 4.54 27 16.7 35.3 b
## EA 24.34 4.54 27 15.0 33.7 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 46.13 4.54 27 36.8 55.4 a
## EA 24.21 4.54 27 14.9 33.5 b
## AG 15.01 4.54 27 5.7 24.3 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 37.64 4.54 27 28.3 47.0 a
## NP 26.59 4.54 27 17.3 35.9 a
## EA 6.21 4.54 27 -3.1 15.5 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 2 NP 472 45.490348 4.53961 27 36.175838 54.80486 a
## 1 AG 472 25.997263 4.53961 27 16.682753 35.31177 b
## 3 EA 472 24.338253 4.53961 27 15.023743 33.65276 b
## 4 NP 579 46.130202 4.53961 27 36.815692 55.44471 a
## 5 EA 579 24.205126 4.53961 27 14.890616 33.51964 b
## 6 AG 579 15.009646 4.53961 27 5.695136 24.32416 b
## 8 AG 850 37.637466 4.53961 27 28.322956 46.95198 a
## 9 NP 850 26.590013 4.53961 27 17.275503 35.90452 a
## 7 EA 850 6.212484 4.53961 27 -3.102026 15.52699 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 25.997263 4.53961 27 16.682753 35.31177 b Tribune 4
## 2 472 EA 24.338253 4.53961 27 15.023743 33.65276 b Tribune 4
## 3 472 NP 45.490348 4.53961 27 36.175838 54.80486 a Tribune 4
## 4 579 AG 15.009646 4.53961 27 5.695136 24.32416 b Hays 4
## 5 579 EA 24.205126 4.53961 27 14.890616 33.51964 b Hays 4
## 6 579 NP 46.130202 4.53961 27 36.815692 55.44471 a Hays 4
## 7 850 AG 37.637466 4.53961 27 28.322956 46.95198 a Manhattan 4
## 8 850 EA 6.212484 4.53961 27 -3.102026 15.52699 b Manhattan 4
## 9 850 NP 26.590013 4.53961 27 17.275503 35.90452 a Manhattan 4
## mean sd se
## 1 25.997263 13.430976 6.7154881
## 2 24.338253 7.244025 3.6220127
## 3 45.490348 5.520735 2.7603677
## 4 15.009646 2.887061 1.4435303
## 5 24.205126 5.801286 2.9006429
## 6 46.130202 4.095621 2.0478105
## 7 37.637466 17.600190 8.8000950
## 8 6.212484 1.287668 0.6438341
## 9 26.590013 10.409398 5.2046989
2.6 Arylsulfatase
2.6.1 0-5 cm L+P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 707.48 353.74 2 30 11.2066 0.0002319 ***
## precip 245.16 245.16 1 30 7.7669 0.0091407 **
## landuse:precip 17.44 8.72 2 30 0.2762 0.7605832
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 15832.6 7916.3 2 21.560 1021.497 < 2.2e-16 ***
## precip 252.5 126.2 2 10.372 16.289 0.0006306 ***
## landuse:precip 705.4 176.4 4 21.560 22.757 1.774e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## landuse lsmean SE df lower.CL upper.CL
## AG 3.21 0.876 19.8 1.38 5.04
## EA 8.45 0.876 19.8 6.62 10.28
## NP 50.09 0.876 19.8 48.26 51.92
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse lsmean SE df lower.CL upper.CL .group
## NP 50.09 0.876 19.8 48.26 51.92 a
## EA 8.45 0.876 19.8 6.62 10.28 b
## AG 3.21 0.876 19.8 1.38 5.04 c
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse lsmean SE df lower.CL upper.CL .group
## 1 NP 50.086544 0.875904 19.76627 48.258055 51.915034 a
## 2 EA 8.452328 0.875904 19.76627 6.623838 10.280818 b
## 3 AG 3.211371 0.875904 19.76627 1.382881 5.039861 c
## precip lsmean SE df lower.CL upper.CL
## 472 18.8 0.93 10.3 16.7 20.8
## 579 18.5 0.93 10.3 16.5 20.6
## 850 24.5 0.93 10.3 22.4 26.5
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 850 24.5 0.93 10.3 22.4 26.5 a
## 472 18.8 0.93 10.3 16.7 20.8 b
## 579 18.5 0.93 10.3 16.5 20.6 b
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 2 850 24.46099 0.9296914 10.27579 22.39702 26.52496 a
## 1 472 18.76439 0.9296914 10.27579 16.70042 20.82836 b
## 3 579 18.52486 0.9296914 10.27579 16.46089 20.58883 b
2.6.2 5-10 cm L*P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 42.16 21.08 2 21.883 2.8845 0.07729 .
## precip 423.76 423.76 1 29.445 57.9862 1.939e-08 ***
## landuse:precip 547.18 273.59 2 21.142 37.4374 1.129e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 5991.2 2995.61 2 22.867 480.154 < 2.2e-16 ***
## precip 674.0 336.98 2 16.466 54.013 5.846e-08 ***
## landuse:precip 642.1 160.52 4 21.095 25.729 7.502e-08 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip lsmean SE df lower.CL upper.CL
## 472 8.26 0.820 17.32 6.53 9.99
## 579 14.45 0.891 9.13 12.44 16.46
## 850 19.99 0.891 9.13 17.98 22.00
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 850 19.99 0.891 9.13 17.98 22.00 a
## 579 14.45 0.891 9.13 12.44 16.46 b
## 472 8.26 0.820 17.32 6.53 9.99 c
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 1 850 19.99076 0.8906200 9.12986 17.980397 22.001122 a
## 2 579 14.45133 0.8906200 9.12986 12.440971 16.461696 b
## 3 472 8.25981 0.8195958 17.32099 6.533052 9.986568 c
## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.65 1.35 24.4 -1.146 4.44
## EA 3.98 1.35 24.4 1.189 6.77
## NP 19.15 1.35 24.4 16.361 21.94
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 3.47 1.35 24.4 0.679 6.26
## EA 6.73 1.35 24.4 3.941 9.52
## NP 33.15 1.35 24.4 30.359 35.94
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 6.71 1.35 24.4 3.923 9.51
## EA 7.63 1.35 24.4 4.839 10.42
## NP 45.63 1.35 24.4 42.836 48.42
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 19.15 1.35 24.4 16.361 21.94 a
## EA 3.98 1.35 24.4 1.189 6.77 b
## AG 1.65 1.35 24.4 -1.146 4.44 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 33.15 1.35 24.4 30.359 35.94 a
## EA 6.73 1.35 24.4 3.941 9.52 b
## AG 3.47 1.35 24.4 0.679 6.26 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 45.63 1.35 24.4 42.836 48.42 a
## EA 7.63 1.35 24.4 4.839 10.42 b
## AG 6.71 1.35 24.4 3.923 9.51 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 NP 472 19.153109 1.353888 24.42584 16.3613982 21.944820 a
## 2 EA 472 3.980589 1.353888 24.42584 1.1888776 6.772300 b
## 3 AG 472 1.645733 1.353888 24.42584 -1.1459779 4.437444 b
## 4 NP 579 33.150908 1.353888 24.42584 30.3591970 35.942619 a
## 5 EA 579 6.732545 1.353888 24.42584 3.9408335 9.524255 b
## 6 AG 579 3.470547 1.353888 24.42584 0.6788364 6.262258 b
## 7 NP 850 45.627650 1.353888 24.42584 42.8359394 48.419361 a
## 8 EA 850 7.630217 1.353888 24.42584 4.8385061 10.421928 b
## 9 AG 850 6.714410 1.353888 24.42584 3.9226987 9.506121 b## precip landuse lsmean SE df lower.CL upper.CL .group
## 1 472 AG 1.645733 1.353888 24.42584 -1.1459779 4.437444 b
## 2 472 EA 3.980589 1.353888 24.42584 1.1888776 6.772300 b
## 3 472 NP 19.153109 1.353888 24.42584 16.3613982 21.944820 a
## 4 579 AG 3.470547 1.353888 24.42584 0.6788364 6.262258 b
## 5 579 EA 6.732545 1.353888 24.42584 3.9408335 9.524255 b
## 6 579 NP 33.150908 1.353888 24.42584 30.3591970 35.942619 a
## 7 850 AG 6.714410 1.353888 24.42584 3.9226987 9.506121 b
## 8 850 EA 7.630217 1.353888 24.42584 4.8385061 10.421928 b
## 9 850 NP 45.627650 1.353888 24.42584 42.8359394 48.419361 a
## location n mean sd se
## 1 Tribune 4 1.645733 1.0976299 0.5488149
## 2 Tribune 4 3.980589 2.6832968 1.3416484
## 3 Tribune 4 19.153109 4.0860083 2.0430041
## 4 Hays 4 3.470547 0.8341474 0.4170737
## 5 Hays 4 6.732545 2.0520189 1.0260095
## 6 Hays 4 33.150908 4.5075733 2.2537867
## 7 Manhattan 4 6.714410 0.4729846 0.2364923
## 8 Manhattan 4 7.630217 0.9394719 0.4697360
## 9 Manhattan 4 45.627650 3.7088021 1.8544011
2.6.3 10-15 cm L*P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 24.141 12.070 2 24.486 1.4358 0.2572630
## precip 68.493 68.493 1 23.836 8.1474 0.0087831 **
## landuse:precip 178.201 89.101 2 24.486 10.5988 0.0004832 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 4219.7 2109.87 2 21.467 283.6221 3.663e-16 ***
## precip 65.5 32.73 2 10.466 4.3998 0.0410429 *
## landuse:precip 220.3 55.08 4 21.467 7.4043 0.0006567 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip lsmean SE df lower.CL upper.CL
## 472 12.9 0.871 11 11.0 14.9
## 579 13.5 0.871 11 11.6 15.4
## 850 16.2 0.871 11 14.3 18.1
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 850 16.2 0.871 11 14.3 18.1 a
## 579 13.5 0.871 11 11.6 15.4 b
## 472 12.9 0.871 11 11.0 14.9 b
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 1 850 16.19983 0.8706956 11.0358 14.28420 18.11546 a
## 2 579 13.52797 0.8706956 11.0358 11.61234 15.44360 b
## 3 472 12.94841 0.8706956 11.0358 11.03278 14.86404 b
## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 7.05 1.41 26.5 4.145 9.95
## EA 7.87 1.41 26.5 4.968 10.77
## NP 23.93 1.41 26.5 21.024 26.83
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 3.74 1.41 26.5 0.837 6.64
## EA 7.37 1.41 26.5 4.469 10.27
## NP 29.47 1.41 26.5 26.569 32.37
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 7.38 1.41 26.5 4.474 10.28
## EA 6.05 1.41 26.5 3.145 8.95
## NP 35.18 1.41 26.5 32.272 38.08
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 23.93 1.41 26.5 21.024 26.83 a
## EA 7.87 1.41 26.5 4.968 10.77 b
## AG 7.05 1.41 26.5 4.145 9.95 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 29.47 1.41 26.5 26.569 32.37 a
## EA 7.37 1.41 26.5 4.469 10.27 b
## AG 3.74 1.41 26.5 0.837 6.64 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 35.18 1.41 26.5 32.272 38.08 a
## AG 7.38 1.41 26.5 4.474 10.28 b
## EA 6.05 1.41 26.5 3.145 8.95 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 NP 472 23.927095 1.413488 26.49604 21.0242733 26.829917 a
## 2 EA 472 7.870503 1.413488 26.49604 4.9676812 10.773325 b
## 3 AG 472 7.047637 1.413488 26.49604 4.1448147 9.950459 b
## 4 NP 579 29.471810 1.413488 26.49604 26.5689884 32.374632 a
## 5 EA 579 7.371796 1.413488 26.49604 4.4689742 10.274618 b
## 6 AG 579 3.740303 1.413488 26.49604 0.8374805 6.643124 b
## 8 NP 850 35.175205 1.413488 26.49604 32.2723830 38.078027 a
## 7 AG 850 7.376330 1.413488 26.49604 4.4735079 10.279152 b
## 9 EA 850 6.047956 1.413488 26.49604 3.1451338 8.950778 b## precip landuse lsmean SE df lower.CL upper.CL .group
## 1 472 AG 7.047637 1.413488 26.49604 4.1448147 9.950459 b
## 2 472 EA 7.870503 1.413488 26.49604 4.9676812 10.773325 b
## 3 472 NP 23.927095 1.413488 26.49604 21.0242733 26.829917 a
## 4 579 AG 3.740303 1.413488 26.49604 0.8374805 6.643124 b
## 5 579 EA 7.371796 1.413488 26.49604 4.4689742 10.274618 b
## 6 579 NP 29.471810 1.413488 26.49604 26.5689884 32.374632 a
## 7 850 AG 7.376330 1.413488 26.49604 4.4735079 10.279152 b
## 8 850 EA 6.047956 1.413488 26.49604 3.1451338 8.950778 b
## 9 850 NP 35.175205 1.413488 26.49604 32.2723830 38.078027 a
## location n mean sd se
## 1 Tribune 4 7.047637 2.90549809 1.45274904
## 2 Tribune 4 7.870503 1.68043167 0.84021583
## 3 Tribune 4 23.927095 3.21440289 1.60720145
## 4 Hays 4 3.740303 0.35020204 0.17510102
## 5 Hays 4 7.371796 0.86049578 0.43024789
## 6 Hays 4 29.471810 2.20097011 1.10048505
## 7 Manhattan 4 7.376330 0.07421987 0.03710993
## 8 Manhattan 4 6.047956 0.51185988 0.25592994
## 9 Manhattan 4 35.175205 6.66090900 3.33045450
2.7 Phosphodiesterase
2.7.1 0-5 cm L+P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 819.72 409.86 2 30 14.433 4.062e-05 ***
## precip 1582.48 1582.48 1 30 55.727 2.549e-08 ***
## landuse:precip 74.62 37.31 2 30 1.314 0.2838
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 14835.3 7417.6 2 20.4399 359.6981 < 2.2e-16 ***
## precip 1377.0 688.5 2 8.9759 33.3867 6.963e-05 ***
## landuse:precip 307.1 76.8 4 20.4399 3.7232 0.01975 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## landuse lsmean SE df lower.CL upper.CL
## AG 15.4 1.39 21.3 12.5 18.2
## EA 19.5 1.39 21.3 16.6 22.4
## NP 60.3 1.39 21.3 57.4 63.2
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse lsmean SE df lower.CL upper.CL .group
## NP 60.3 1.39 21.3 57.4 63.2 a
## EA 19.5 1.39 21.3 16.6 22.4 b
## AG 15.4 1.39 21.3 12.5 18.2 c
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse lsmean SE df lower.CL upper.CL .group
## 1 NP 60.32737 1.387609 21.26087 57.44383 63.21090 a
## 2 EA 19.47552 1.387609 21.26087 16.59198 22.35906 b
## 3 AG 15.35040 1.387609 21.26087 12.46687 18.23394 c
## precip lsmean SE df lower.CL upper.CL
## 472 24.2 1.45 11.1 21.0 27.4
## 579 30.5 1.45 11.1 27.4 33.7
## 850 40.4 1.45 11.1 37.2 43.6
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 850 40.4 1.45 11.1 37.2 43.6 a
## 579 30.5 1.45 11.1 27.4 33.7 b
## 472 24.2 1.45 11.1 21.0 27.4 c
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 1 850 40.42103 1.446041 11.0832 37.24122 43.60083 a
## 2 579 30.54402 1.446041 11.0832 27.36422 33.72383 b
## 3 472 24.18824 1.446041 11.0832 21.00844 27.36804 c
2.7.2 5-10 cm L*P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 205.01 102.50 2 25.987 3.7910 0.035922 *
## precip 1638.23 1638.23 1 29.954 60.5880 1.112e-08 ***
## landuse:precip 420.44 210.22 2 25.483 7.7748 0.002312 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 3484.2 1742.10 2 24.626 107.858 6.563e-13 ***
## precip 1652.1 826.06 2 21.224 51.144 7.640e-09 ***
## landuse:precip 766.1 191.52 4 23.732 11.858 1.953e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## landuse lsmean SE df lower.CL upper.CL
## AG 15.6 1.36 10.1 12.58 18.6
## EA 11.5 1.27 19.2 8.89 14.2
## NP 34.2 1.27 19.2 31.55 36.9
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse lsmean SE df lower.CL upper.CL .group
## NP 34.2 1.27 19.2 31.55 36.9 a
## AG 15.6 1.36 10.1 12.58 18.6 b
## EA 11.5 1.27 19.2 8.89 14.2 c
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse lsmean SE df lower.CL upper.CL .group
## 2 NP 34.21412 1.272457 19.16915 31.552430 36.87581 a
## 1 AG 15.60217 1.355610 10.05137 12.583769 18.62056 b
## 3 EA 11.54995 1.272457 19.16915 8.888262 14.21165 c
## precip lsmean SE df lower.CL upper.CL
## 472 12.5 1.27 19.2 9.8 15.1
## 579 19.0 1.36 10.1 16.0 22.1
## 850 29.9 1.36 10.1 26.9 32.9
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 850 29.9 1.36 10.1 26.9 32.9 a
## 579 19.0 1.36 10.1 16.0 22.1 b
## 472 12.5 1.27 19.2 9.8 15.1 c
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 1 850 29.87663 1.355610 10.05137 26.858234 32.89503 a
## 2 579 19.03206 1.355610 10.05137 16.013660 22.05045 b
## 3 472 12.45756 1.272457 19.16915 9.795863 15.11925 c
## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 9.32 2.13 25.6 4.94 13.7
## EA 8.57 2.13 25.6 4.19 12.9
## NP 19.49 2.13 25.6 15.11 23.9
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 8.34 2.13 25.6 3.96 12.7
## EA 11.50 2.13 25.6 7.12 15.9
## NP 37.26 2.13 25.6 32.88 41.6
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 29.15 2.13 25.6 24.77 33.5
## EA 14.59 2.13 25.6 10.21 19.0
## NP 45.90 2.13 25.6 41.52 50.3
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 19.49 2.13 25.6 15.11 23.9 a
## AG 9.32 2.13 25.6 4.94 13.7 b
## EA 8.57 2.13 25.6 4.19 12.9 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 37.26 2.13 25.6 32.88 41.6 a
## EA 11.50 2.13 25.6 7.12 15.9 b
## AG 8.34 2.13 25.6 3.96 12.7 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 45.90 2.13 25.6 41.52 50.3 a
## AG 29.15 2.13 25.6 24.77 33.5 b
## EA 14.59 2.13 25.6 10.21 19.0 c
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 2 NP 472 19.488273 2.128294 25.55399 15.109782 23.86676 a
## 1 AG 472 9.316488 2.128294 25.55399 4.937997 13.69498 b
## 3 EA 472 8.567905 2.128294 25.55399 4.189414 12.94640 b
## 4 NP 579 37.257613 2.128294 25.55399 32.879123 41.63610 a
## 5 EA 579 11.496888 2.128294 25.55399 7.118398 15.87538 b
## 6 AG 579 8.341668 2.128294 25.55399 3.963178 12.72016 b
## 8 NP 850 45.896480 2.128294 25.55399 41.517990 50.27497 a
## 7 AG 850 29.148341 2.128294 25.55399 24.769850 33.52683 b
## 9 EA 850 14.585071 2.128294 25.55399 10.206580 18.96356 c## precip landuse lsmean SE df lower.CL upper.CL .group
## 1 472 AG 9.316488 2.128294 25.55399 4.937997 13.69498 b
## 2 472 EA 8.567905 2.128294 25.55399 4.189414 12.94640 b
## 3 472 NP 19.488273 2.128294 25.55399 15.109782 23.86676 a
## 4 579 AG 8.341668 2.128294 25.55399 3.963178 12.72016 b
## 5 579 EA 11.496888 2.128294 25.55399 7.118398 15.87538 b
## 6 579 NP 37.257613 2.128294 25.55399 32.879123 41.63610 a
## 7 850 AG 29.148341 2.128294 25.55399 24.769850 33.52683 b
## 8 850 EA 14.585071 2.128294 25.55399 10.206580 18.96356 c
## 9 850 NP 45.896480 2.128294 25.55399 41.517990 50.27497 a
## location n mean sd se
## 1 Tribune 4 9.428216 4.768013 2.3840067
## 2 Tribune 4 10.813381 5.448170 2.7240849
## 3 Tribune 4 52.323118 5.650002 2.8250010
## 4 Hays 4 9.626549 1.965058 0.9825288
## 5 Hays 4 23.412187 6.266309 3.1331544
## 6 Hays 4 58.593335 4.721202 2.3606008
## 7 Manhattan 4 26.996445 3.331724 1.6658618
## 8 Manhattan 4 24.200992 1.456778 0.7283892
## 9 Manhattan 4 70.065644 5.976002 2.9880011
2.7.3 10-15 cm L*P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 327.34 163.67 2 30 3.7784 0.03440 *
## precip 254.75 254.75 1 30 5.8810 0.02154 *
## landuse:precip 356.95 178.47 2 30 4.1201 0.02624 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 1749.81 874.90 2 27 31.2774 9.337e-08 ***
## precip 281.36 140.68 2 27 5.0292 0.0139137 *
## landuse:precip 874.60 218.65 4 27 7.8166 0.0002549 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## landuse lsmean SE df lower.CL upper.CL
## AG 15.6 1.53 24.3 12.5 18.8
## EA 13.7 1.53 24.3 10.6 16.9
## NP 29.4 1.53 24.3 26.2 32.5
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse lsmean SE df lower.CL upper.CL .group
## NP 29.4 1.53 24.3 26.2 32.5 a
## AG 15.6 1.53 24.3 12.5 18.8 b
## EA 13.7 1.53 24.3 10.6 16.9 b
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse lsmean SE df lower.CL upper.CL .group
## 2 NP 29.37031 1.526772 24.3 26.22126 32.51935 a
## 1 AG 15.62377 1.526772 24.3 12.47472 18.77281 b
## 3 EA 13.72205 1.526772 24.3 10.57301 16.87110 b
## precip lsmean SE df lower.CL upper.CL
## 472 16.0 1.53 13.5 12.7 19.3
## 579 19.8 1.53 13.5 16.6 23.1
## 850 22.9 1.53 13.5 19.6 26.1
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 850 22.9 1.53 13.5 19.6 26.1 a
## 579 19.8 1.53 13.5 16.6 23.1 ab
## 472 16.0 1.53 13.5 12.7 19.3 b
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 1 850 29.87663 1.355610 10.05137 26.858234 32.89503 a
## 2 579 19.03206 1.355610 10.05137 16.013660 22.05045 b
## 3 472 12.45756 1.272457 19.16915 9.795863 15.11925 c
## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 13.82 2.64 27 8.39 19.2
## EA 12.84 2.64 27 7.42 18.3
## NP 21.41 2.64 27 15.98 26.8
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 7.55 2.64 27 2.12 13.0
## EA 17.68 2.64 27 12.25 23.1
## NP 34.29 2.64 27 28.86 39.7
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 25.51 2.64 27 20.08 30.9
## EA 10.64 2.64 27 5.22 16.1
## NP 32.42 2.64 27 26.99 37.8
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 21.41 2.64 27 15.98 26.8 a
## AG 13.82 2.64 27 8.39 19.2 ab
## EA 12.84 2.64 27 7.42 18.3 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 34.29 2.64 27 28.86 39.7 a
## EA 17.68 2.64 27 12.25 23.1 b
## AG 7.55 2.64 27 2.12 13.0 c
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 32.42 2.64 27 26.99 37.8 a
## AG 25.51 2.64 27 20.08 30.9 a
## EA 10.64 2.64 27 5.22 16.1 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 2 NP 472 21.40554 2.644448 27 15.979580 26.83150 a
## 1 AG 472 13.81916 2.644448 27 8.393198 19.24511 ab
## 3 EA 472 12.84488 2.644448 27 7.418923 18.27084 b
## 4 NP 579 34.28563 2.644448 27 28.859670 39.71159 a
## 5 EA 579 17.68023 2.644448 27 12.254271 23.10619 b
## 6 AG 579 7.54616 2.644448 27 2.120202 12.97212 c
## 8 NP 850 32.41976 2.644448 27 26.993800 37.84572 a
## 7 AG 850 25.50598 2.644448 27 20.080025 30.93194 a
## 9 EA 850 10.64105 2.644448 27 5.215088 16.06700 b
2.8 Protein
2.8.1 0-5 cm P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 9.860 4.930 2 30 1.0907 0.348949
## precip 55.397 55.397 1 30 12.2561 0.001473 **
## landuse:precip 7.114 3.557 2 30 0.7869 0.464425
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 217.444 108.722 2 19.1466 72.152 1.215e-09 ***
## precip 44.081 22.041 2 7.0513 14.627 0.003096 **
## landuse:precip 90.177 22.544 4 19.1466 14.961 1.058e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip lsmean SE df lower.CL upper.CL
## 472 7.53 0.421 9.91 6.59 8.47
## 579 5.68 0.421 9.91 4.74 6.61
## 850 4.32 0.421 9.91 3.39 5.26
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 472 7.53 0.421 9.91 6.59 8.47 a
## 579 5.68 0.421 9.91 4.74 6.61 b
## 850 4.32 0.421 9.91 3.39 5.26 c
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 3 472 7.530212 0.4206309 9.909329 6.591824 8.468600 a
## 2 579 5.675769 0.4206309 9.909329 4.737382 6.614157 b
## 1 850 4.324931 0.4206309 9.909329 3.386543 5.263319 c
2.8.2 5-10 cm L*P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 9.2553 4.6276 2 22.952 5.9863 0.008087 **
## precip 1.9296 1.9296 1 29.178 2.4961 0.124910
## landuse:precip 16.7774 8.3887 2 22.286 10.8516 0.000512 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 28.6485 14.3242 2 21.0171 22.3799 6.209e-06 ***
## precip 8.0651 4.0325 2 9.6116 6.3003 0.01785 *
## landuse:precip 11.6571 2.9143 4 17.1425 4.5532 0.01094 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## landuse lsmean SE df lower.CL upper.CL
## AG 2.54 0.392 6.84 1.61 3.47
## EA 2.93 0.330 10.75 2.20 3.66
## NP 4.69 0.330 10.75 3.96 5.41
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse lsmean SE df lower.CL upper.CL .group
## NP 4.69 0.330 10.75 3.96 5.41 a
## EA 2.93 0.330 10.75 2.20 3.66 b
## AG 2.54 0.392 6.84 1.61 3.47 b
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse lsmean SE df lower.CL upper.CL .group
## 1 NP 4.686371 0.3299719 10.747280 3.958018 5.414723 a
## 2 EA 2.929352 0.3299719 10.747280 2.200999 3.657704 b
## 3 AG 2.536165 0.3915567 6.835987 1.605758 3.466572 b
## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 4.37 0.51 16.5 3.2935 5.45
## EA 3.60 0.51 16.5 2.5216 4.68
## NP 5.08 0.51 16.5 4.0000 6.16
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 2.22 0.51 16.5 1.1406 3.30
## EA 2.52 0.51 16.5 1.4426 3.60
## NP 3.76 0.51 16.5 2.6852 4.84
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.02 0.51 16.5 -0.0606 2.10
## EA 2.67 0.51 16.5 1.5889 3.75
## NP 5.22 0.51 16.5 4.1389 6.30
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 5.08 0.51 16.5 4.0000 6.16 a
## AG 4.37 0.51 16.5 3.2935 5.45 ab
## EA 3.60 0.51 16.5 2.5216 4.68 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 3.76 0.51 16.5 2.6852 4.84 a
## EA 2.52 0.51 16.5 1.4426 3.60 b
## AG 2.22 0.51 16.5 1.1406 3.30 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 5.22 0.51 16.5 4.1389 6.30 a
## EA 2.67 0.51 16.5 1.5889 3.75 b
## AG 1.02 0.51 16.5 -0.0606 2.10 c
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 2 NP 472 5.078364 0.5098937 16.49031 4.00004423 6.156684 a
## 1 AG 472 4.371856 0.5098937 16.49031 3.29353629 5.450176 ab
## 3 EA 472 3.599918 0.5098937 16.49031 2.52159787 4.678238 b
## 4 NP 579 3.763522 0.5098937 16.49031 2.68520156 4.841842 a
## 5 EA 579 2.520902 0.5098937 16.49031 1.44258197 3.599222 b
## 6 AG 579 2.218873 0.5098937 16.49031 1.14055311 3.297193 b
## 7 NP 850 5.217226 0.5098937 16.49031 4.13890632 6.295546 a
## 8 EA 850 2.667235 0.5098937 16.49031 1.58891498 3.745555 b
## 9 AG 850 1.017765 0.5098937 16.49031 -0.06055468 2.096085 c## precip landuse lsmean SE df lower.CL upper.CL .group
## 1 472 AG 4.371856 0.5098937 16.49031 3.29353629 5.450176 ab
## 2 472 EA 3.599918 0.5098937 16.49031 2.52159787 4.678238 b
## 3 472 NP 5.078364 0.5098937 16.49031 4.00004423 6.156684 a
## 4 579 AG 2.218873 0.5098937 16.49031 1.14055311 3.297193 b
## 5 579 EA 2.520902 0.5098937 16.49031 1.44258197 3.599222 b
## 6 579 NP 3.763522 0.5098937 16.49031 2.68520156 4.841842 a
## 7 850 AG 1.017765 0.5098937 16.49031 -0.06055468 2.096085 c
## 8 850 EA 2.667235 0.5098937 16.49031 1.58891498 3.745555 b
## 9 850 NP 5.217226 0.5098937 16.49031 4.13890632 6.295546 a
## location n mean sd se
## 1 Tribune 4 4.371856 0.8086970 0.40434851
## 2 Tribune 4 3.599918 1.2868995 0.64344973
## 3 Tribune 4 5.078364 1.2988885 0.64944423
## 4 Hays 4 2.218873 0.3740833 0.18704163
## 5 Hays 4 2.520902 1.0647827 0.53239133
## 6 Hays 4 3.763522 0.1920875 0.09604373
## 7 Manhattan 4 1.017765 0.1283554 0.06417771
## 8 Manhattan 4 2.667235 0.2571065 0.12855326
## 9 Manhattan 4 5.217226 1.6470885 0.82354426
2.8.3 10-15 cm
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.51448 0.257239 2 20.736 0.6189 0.5482
## precip 0.02700 0.026997 1 21.355 0.0650 0.8013
## landuse:precip 0.52772 0.263862 2 20.736 0.6349 0.54002.9 Permanganate Oxidizable Organic Carbon
2.9.1 0-5 cm L*P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 21874.6 10937.3 2 21.585 12.794 0.0002165 ***
## precip 9475.2 9475.2 1 26.513 11.084 0.0025662 **
## landuse:precip 30249.6 15124.8 2 21.585 17.693 2.825e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 11652 5825.9 2 27 14.275 5.891e-05 ***
## precip 34811 17405.3 2 27 42.648 4.401e-09 ***
## landuse:precip 39551 9887.7 4 27 24.228 1.347e-08 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## landuse lsmean SE df lower.CL upper.CL
## AG 1409 5.83 24.3 1397 1421
## EA 1453 5.83 24.3 1441 1465
## NP 1433 5.83 24.3 1421 1445
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse lsmean SE df lower.CL upper.CL .group
## EA 1453 5.83 24.3 1441 1465 a
## NP 1433 5.83 24.3 1421 1445 b
## AG 1409 5.83 24.3 1397 1421 c
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse lsmean SE df lower.CL upper.CL .group
## 1 EA 1453.179 5.831805 24.3 1441.150 1465.207 a
## 3 NP 1432.897 5.831805 24.3 1420.868 1444.925 b
## 2 AG 1409.156 5.831805 24.3 1397.128 1421.185 c
## precip lsmean SE df lower.CL upper.CL
## 472 1398 5.83 13.5 1385 1410
## 579 1473 5.83 13.5 1460 1485
## 850 1425 5.83 13.5 1412 1437
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 579 1473 5.83 13.5 1460 1485 a
## 850 1425 5.83 13.5 1412 1437 b
## 472 1398 5.83 13.5 1385 1410 c
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 1 579 1472.798 5.831805 13.5 1460.247 1485.350 a
## 3 850 1424.867 5.831805 13.5 1412.316 1437.419 b
## 2 472 1397.566 5.831805 13.5 1385.014 1410.118 c
## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 1372 10.1 27 1351 1393
## EA 1390 10.1 27 1369 1410
## NP 1431 10.1 27 1410 1452
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 1488 10.1 27 1467 1509
## EA 1463 10.1 27 1442 1484
## NP 1468 10.1 27 1447 1488
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 1368 10.1 27 1347 1388
## EA 1507 10.1 27 1486 1528
## NP 1400 10.1 27 1379 1421
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 1431 10.1 27 1410 1452 a
## EA 1390 10.1 27 1369 1410 b
## AG 1372 10.1 27 1351 1393 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 1488 10.1 27 1467 1509 a
## NP 1468 10.1 27 1447 1488 a
## EA 1463 10.1 27 1442 1484 a
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 1507 10.1 27 1486 1528 a
## NP 1400 10.1 27 1379 1421 b
## AG 1368 10.1 27 1347 1388 c
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 NP 472 1430.925 10.10098 27 1410.199 1451.650 a
## 2 EA 472 1389.748 10.10098 27 1369.022 1410.473 b
## 3 AG 472 1372.025 10.10098 27 1351.300 1392.751 b
## 5 AG 579 1487.880 10.10098 27 1467.154 1508.605 a
## 6 NP 579 1467.616 10.10098 27 1446.890 1488.341 a
## 4 EA 579 1462.900 10.10098 27 1442.174 1483.625 a
## 7 EA 850 1506.888 10.10098 27 1486.163 1527.614 a
## 9 NP 850 1400.150 10.10098 27 1379.425 1420.876 b
## 8 AG 850 1367.564 10.10098 27 1346.838 1388.289 c## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 1372.025 10.10098 27 1351.300 1392.751 b Tribune 4
## 2 472 EA 1389.748 10.10098 27 1369.022 1410.473 b Tribune 4
## 3 472 NP 1430.925 10.10098 27 1410.199 1451.650 a Tribune 4
## 4 579 AG 1487.880 10.10098 27 1467.154 1508.605 a Hays 4
## 5 579 EA 1462.900 10.10098 27 1442.174 1483.625 a Hays 4
## 6 579 NP 1467.616 10.10098 27 1446.890 1488.341 a Hays 4
## 7 850 AG 1367.564 10.10098 27 1346.838 1388.289 c Manhattan 4
## 8 850 EA 1506.888 10.10098 27 1486.163 1527.614 a Manhattan 4
## 9 850 NP 1400.150 10.10098 27 1379.425 1420.876 b Manhattan 4
## mean sd se
## 1 1372.025 22.307563 11.153782
## 2 1389.748 25.207102 12.603551
## 3 1430.925 18.945338 9.472669
## 4 1487.880 4.781973 2.390986
## 5 1462.900 15.051187 7.525593
## 6 1467.616 20.436648 10.218324
## 7 1367.564 15.274205 7.637102
## 8 1506.888 12.505616 6.252808
## 9 1400.150 33.531615 16.765807
2.9.2 5-10 cm L*P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 38797 19398.5 2 30 10.6366 0.0003224 ***
## precip 1674 1674.1 1 30 0.9179 0.3456774
## landuse:precip 54061 27030.3 2 30 14.8213 3.338e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 14172 7086 2 27 32.198 7.094e-08 ***
## precip 40129 20065 2 27 91.171 9.814e-13 ***
## landuse:precip 64376 16094 4 27 73.129 4.350e-14 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## landuse lsmean SE df lower.CL upper.CL
## AG 1407 4.28 14.8 1398 1416
## EA 1453 4.28 24.8 1444 1462
## NP 1416 4.28 24.8 1408 1425
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse lsmean SE df lower.CL upper.CL .group
## EA 1453 4.28 24.8 1444 1462 a
## NP 1416 4.28 24.8 1408 1425 b
## AG 1407 4.28 14.8 1398 1416 b
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse lsmean SE df lower.CL upper.CL .group
## 1 EA 1453.039 4.282481 24.75 1444.214 1461.863 a
## 3 NP 1416.333 4.282481 24.75 1407.509 1425.158 b
## 2 AG 1407.099 4.282481 14.85 1397.963 1416.235 b
## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 1375 7.42 27 1359 1390
## EA 1375 7.42 27 1360 1391
## NP 1409 7.42 27 1394 1425
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 1491 7.42 27 1476 1506
## EA 1453 7.42 27 1438 1468
## NP 1460 7.42 27 1445 1475
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 1356 7.42 27 1341 1371
## EA 1531 7.42 27 1516 1546
## NP 1380 7.42 27 1364 1395
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 1409 7.42 27 1394 1425 a
## EA 1375 7.42 27 1360 1391 b
## AG 1375 7.42 27 1359 1390 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 1491 7.42 27 1476 1506 a
## NP 1460 7.42 27 1445 1475 b
## EA 1453 7.42 27 1438 1468 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 1531 7.42 27 1516 1546 a
## NP 1380 7.42 27 1364 1395 b
## AG 1356 7.42 27 1341 1371 c
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 NP 472 1409.322 7.417474 27 1394.102 1424.541 a
## 2 EA 472 1375.343 7.417474 27 1360.124 1390.563 b
## 3 AG 472 1374.584 7.417474 27 1359.365 1389.803 b
## 5 AG 579 1490.951 7.417474 27 1475.732 1506.170 a
## 6 NP 579 1460.074 7.417474 27 1444.854 1475.293 b
## 4 EA 579 1452.924 7.417474 27 1437.704 1468.143 b
## 7 EA 850 1530.849 7.417474 27 1515.629 1546.068 a
## 9 NP 850 1379.605 7.417474 27 1364.386 1394.824 b
## 8 AG 850 1355.762 7.417474 27 1340.542 1370.981 c## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 1374.584 7.417474 27 1359.365 1389.803 b Tribune 4
## 2 472 EA 1375.343 7.417474 27 1360.124 1390.563 b Tribune 4
## 3 472 NP 1409.322 7.417474 27 1394.102 1424.541 a Tribune 4
## 4 579 AG 1490.951 7.417474 27 1475.732 1506.170 a Hays 4
## 5 579 EA 1452.924 7.417474 27 1437.704 1468.143 b Hays 4
## 6 579 NP 1460.074 7.417474 27 1444.854 1475.293 b Hays 4
## 7 850 AG 1355.762 7.417474 27 1340.542 1370.981 c Manhattan 4
## 8 850 EA 1530.849 7.417474 27 1515.629 1546.068 a Manhattan 4
## 9 850 NP 1379.605 7.417474 27 1364.386 1394.824 b Manhattan 4
## mean sd se
## 1 1374.584 5.397842 2.698921
## 2 1375.343 11.351088 5.675544
## 3 1409.322 7.388183 3.694092
## 4 1490.951 16.923184 8.461592
## 5 1452.924 20.115622 10.057811
## 6 1460.074 11.894890 5.947445
## 7 1355.762 18.293667 9.146833
## 8 1530.849 16.944881 8.472440
## 9 1379.605 17.714520 8.857260
2.9.3 10-15 cm L*P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 23205 11602 2 22.612 23.518 2.994e-06 ***
## precip 19448 19448 1 24.069 39.421 1.702e-06 ***
## landuse:precip 36378 18189 2 22.612 36.869 7.633e-08 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 19507 9753.3 2 21.532 68.081 4.901e-10 ***
## precip 56085 28042.4 2 10.929 195.744 2.769e-09 ***
## landuse:precip 44618 11154.5 4 21.532 77.862 1.736e-12 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## landuse lsmean SE df lower.CL upper.CL
## AG 1414 3.557 22.76 1407 1422
## EA 1459 3.557 22.76 1451 1466
## NP 1406 3.557 22.76 1398 1413
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse lsmean SE df lower.CL upper.CL .group
## EA 1459 3.557 22.76 1451 1466 a
## AG 1414 3.557 22.76 1407 1422 b
## NP 1406 3.557 22.76 1398 1413 b
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse lsmean SE df lower.CL upper.CL .group
## 3 EA 1458.766 3.55651 22.76111 1451.404 1466.127 a
## 1 AG 1414.266 3.55651 22.76111 1406.905 1421.628 b
## 2 NP 1405.642 3.55651 22.76111 1398.281 1413.004 b
## precip lsmean SE df lower.CL upper.CL
## 472 1380 3.636 12.1 1372 1387
## 579 1480 3.636 12.1 1472 1488
## 850 1419 3.636 12.1 1411 1427
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 579 1480 3.636 12.1 1472 1488 a
## 850 1419 3.636 12.1 1411 1427 b
## 472 1380 3.636 12.1 1372 1387 c
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 1 579 1479.694 3.635528 12.09504 1471.780 1487.608 a
## 3 850 1419.405 3.635528 12.09504 1411.491 1427.319 b
## 2 472 1379.575 3.635528 12.09504 1371.661 1387.490 c
## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 1376 6.09 26.9 1363 1388
## EA 1384 6.09 26.9 1372 1397
## NP 1379 6.09 26.9 1366 1391
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 1503 6.09 26.9 1490 1515
## EA 1472 6.09 26.9 1460 1485
## NP 1464 6.09 26.9 1452 1477
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 1364 6.09 26.9 1352 1377
## EA 1520 6.09 26.9 1507 1532
## NP 1374 6.09 26.9 1362 1387
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 1384 6.09 26.9 1372 1397 a
## NP 1379 6.09 26.9 1366 1391 a
## AG 1376 6.09 26.9 1363 1388 a
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 1503 6.09 26.9 1490 1515 a
## EA 1472 6.09 26.9 1460 1485 b
## NP 1464 6.09 26.9 1452 1477 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 1520 6.09 26.9 1507 1532 a
## NP 1374 6.09 26.9 1362 1387 b
## AG 1364 6.09 26.9 1352 1377 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 EA 472 1384.425 6.090471 26.8725 1371.925 1396.924 a
## 3 NP 472 1378.523 6.090471 26.8725 1366.023 1391.022 a
## 2 AG 472 1375.779 6.090471 26.8725 1363.280 1388.278 a
## 6 AG 579 1502.843 6.090471 26.8725 1490.343 1515.342 a
## 5 EA 579 1472.117 6.090471 26.8725 1459.618 1484.616 b
## 4 NP 579 1464.123 6.090471 26.8725 1451.624 1476.623 b
## 7 EA 850 1519.755 6.090471 26.8725 1507.256 1532.255 a
## 9 NP 850 1374.281 6.090471 26.8725 1361.782 1386.781 b
## 8 AG 850 1364.178 6.090471 26.8725 1351.678 1376.677 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 1375.779 6.090471 26.8725 1363.280 1388.278 a Tribune 4
## 2 472 EA 1384.425 6.090471 26.8725 1371.925 1396.924 a Tribune 4
## 3 472 NP 1378.523 6.090471 26.8725 1366.023 1391.022 a Tribune 4
## 4 579 AG 1502.843 6.090471 26.8725 1490.343 1515.342 a Hays 4
## 5 579 EA 1472.117 6.090471 26.8725 1459.618 1484.616 b Hays 4
## 6 579 NP 1464.123 6.090471 26.8725 1451.624 1476.623 b Hays 4
## 7 850 AG 1364.178 6.090471 26.8725 1351.678 1376.677 b Manhattan 4
## 8 850 EA 1519.755 6.090471 26.8725 1507.256 1532.255 a Manhattan 4
## 9 850 NP 1374.281 6.090471 26.8725 1361.782 1386.781 b Manhattan 4
## mean sd se
## 1 1375.779 10.709758 5.354879
## 2 1384.425 14.531362 7.265681
## 3 1378.523 11.993383 5.996692
## 4 1502.843 11.077712 5.538856
## 5 1472.117 10.518321 5.259161
## 6 1464.123 7.976896 3.988448
## 7 1364.178 16.749666 8.374833
## 8 1519.755 10.743236 5.371618
## 9 1374.281 13.144265 6.572132
2.10 Soil Respiration
2.10.1 0-5 cm
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 3.0520 1.5260 2 19.819 0.6252 0.5454
## precip 4.5394 4.5394 1 29.553 1.8598 0.1829
## landuse:precip 5.4906 2.7453 2 19.819 1.1248 0.34462.10.2 5-10 cm L*P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 6.1095 3.05476 2 22.985 16.4145 3.732e-05 ***
## precip 0.0704 0.07043 1 24.556 0.3785 0.5441
## landuse:precip 6.2650 3.13250 2 22.754 16.8322 3.261e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 11.8739 5.9369 2 24.564 42.896 9.682e-09 ***
## precip 12.2047 6.1023 2 23.306 44.091 1.199e-08 ***
## landuse:precip 7.5323 1.8831 4 24.093 13.606 6.169e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## landuse lsmean SE df lower.CL upper.CL
## AG 0.686 0.112 13.0 0.443 0.929
## EA 0.830 0.110 23.2 0.602 1.058
## NP 1.973 0.110 23.2 1.745 2.201
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse lsmean SE df lower.CL upper.CL .group
## NP 1.973 0.110 23.2 1.745 2.201 a
## EA 0.830 0.110 23.2 0.602 1.058 b
## AG 0.686 0.112 13.0 0.443 0.929 b
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse lsmean SE df lower.CL upper.CL .group
## 1 NP 1.9727342 0.1101649 23.22087 1.7449606 2.2005079 a
## 2 EA 0.8298641 0.1101649 23.22087 0.6020905 1.0576377 b
## 3 AG 0.6859999 0.1123319 13.00457 0.4433303 0.9286695 b
## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.229 0.189 26.9 -0.1583 0.617
## EA 0.423 0.189 26.9 0.0357 0.811
## NP 0.339 0.189 26.9 -0.0482 0.727
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.715 0.189 26.9 0.3271 1.102
## EA 1.501 0.189 26.9 1.1133 1.889
## NP 2.908 0.189 26.9 2.5202 3.296
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.114 0.189 26.9 0.7261 1.501
## EA 0.565 0.189 26.9 0.1775 0.953
## NP 2.671 0.189 26.9 2.2831 3.058
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 0.423 0.189 26.9 0.0357 0.811 a
## NP 0.339 0.189 26.9 -0.0482 0.727 a
## AG 0.229 0.189 26.9 -0.1583 0.617 a
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 2.908 0.189 26.9 2.5202 3.296 a
## EA 1.501 0.189 26.9 1.1133 1.889 b
## AG 0.715 0.189 26.9 0.3271 1.102 c
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 2.671 0.189 26.9 2.2831 3.058 a
## AG 1.114 0.189 26.9 0.7261 1.501 b
## EA 0.565 0.189 26.9 0.1775 0.953 c
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 EA 472 0.4233481 0.1889066 26.87877 0.03566189 0.8110343 a
## 3 NP 472 0.3394918 0.1889066 26.87877 -0.04819445 0.7271780 a
## 2 AG 472 0.2294218 0.1889066 26.87877 -0.15826445 0.6171080 a
## 4 NP 579 2.9079069 0.1889066 26.87877 2.52022071 3.2955931 a
## 5 EA 579 1.5010137 0.1889066 26.87877 1.11332753 1.8886999 b
## 6 AG 579 0.7147885 0.1889066 26.87877 0.32710232 1.1024747 c
## 8 NP 850 2.6708041 0.1889066 26.87877 2.28311788 3.0584903 a
## 7 AG 850 1.1137894 0.1889066 26.87877 0.72610319 1.5014756 b
## 9 EA 850 0.5652306 0.1889066 26.87877 0.17754438 0.9529168 c## precip landuse lsmean SE df lower.CL upper.CL .group
## 1 472 AG 0.2294218 0.1889066 26.87877 -0.15826445 0.6171080 a
## 2 472 EA 0.4233481 0.1889066 26.87877 0.03566189 0.8110343 a
## 3 472 NP 0.3394918 0.1889066 26.87877 -0.04819445 0.7271780 a
## 4 579 AG 0.7147885 0.1889066 26.87877 0.32710232 1.1024747 c
## 5 579 EA 1.5010137 0.1889066 26.87877 1.11332753 1.8886999 b
## 6 579 NP 2.9079069 0.1889066 26.87877 2.52022071 3.2955931 a
## 7 850 AG 1.1137894 0.1889066 26.87877 0.72610319 1.5014756 b
## 8 850 EA 0.5652306 0.1889066 26.87877 0.17754438 0.9529168 c
## 9 850 NP 2.6708041 0.1889066 26.87877 2.28311788 3.0584903 a
## location n mean sd se
## 1 Tribune 4 0.2294218 0.06529555 0.03264777
## 2 Tribune 4 0.4233481 0.28268711 0.14134355
## 3 Tribune 4 0.3394918 0.12564118 0.06282059
## 4 Hays 4 0.7147885 0.31239840 0.15619920
## 5 Hays 4 1.5010137 0.60769328 0.30384664
## 6 Hays 4 2.9079069 0.18136902 0.09068451
## 7 Manhattan 4 1.1137894 0.78011318 0.39005659
## 8 Manhattan 4 0.5652306 0.07773986 0.03886993
## 9 Manhattan 4 2.6708041 0.26688315 0.13344158
2.10.3 10-15 cm L*P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 1.8994 0.9497 2 30 3.0116 0.064279 .
## precip 3.8505 3.8505 1 30 12.2102 0.001499 **
## landuse:precip 3.6003 1.8002 2 30 5.7085 0.007927 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 9.2111 4.6055 2 27 75.650 8.567e-12 ***
## precip 7.8223 3.9112 2 27 64.244 5.438e-11 ***
## landuse:precip 7.4452 1.8613 4 27 30.574 1.135e-09 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip lsmean SE df lower.CL upper.CL
## 472 0.233 0.0712 13.5 0.0794 0.386
## 579 1.235 0.0712 13.5 1.0818 1.388
## 850 1.208 0.0712 13.5 1.0542 1.361
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 579 1.235 0.0712 13.5 1.0818 1.388 a
## 850 1.208 0.0712 13.5 1.0542 1.361 a
## 472 0.233 0.0712 13.5 0.0794 0.386 b
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 1 579 1.2350554 0.07122692 13.5 1.08175634 1.3883545 a
## 3 850 1.2075208 0.07122692 13.5 1.05422174 1.3608199 a
## 2 472 0.2327438 0.07122692 13.5 0.07944469 0.3860429 b
## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.128 0.123 27 -0.1250 0.381
## EA 0.428 0.123 27 0.1752 0.681
## NP 0.142 0.123 27 -0.1113 0.395
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.270 0.123 27 0.0167 0.523
## EA 1.041 0.123 27 0.7880 1.294
## NP 2.394 0.123 27 2.1411 2.647
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.936 0.123 27 0.6826 1.189
## EA 0.426 0.123 27 0.1730 0.679
## NP 2.261 0.123 27 2.0075 2.514
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 0.428 0.123 27 0.1752 0.681 a
## NP 0.142 0.123 27 -0.1113 0.395 a
## AG 0.128 0.123 27 -0.1250 0.381 a
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 2.394 0.123 27 2.1411 2.647 a
## EA 1.041 0.123 27 0.7880 1.294 b
## AG 0.270 0.123 27 0.0167 0.523 c
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 2.261 0.123 27 2.0075 2.514 a
## AG 0.936 0.123 27 0.6826 1.189 b
## EA 0.426 0.123 27 0.1730 0.679 c
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 EA 472 0.4282920 0.1233687 27 0.17516042 0.6814235 a
## 3 NP 472 0.1417868 0.1233687 27 -0.11134478 0.3949183 a
## 2 AG 472 0.1281525 0.1233687 27 -0.12497902 0.3812841 a
## 4 NP 579 2.3942570 0.1233687 27 2.14112543 2.6473886 a
## 5 EA 579 1.0410972 0.1233687 27 0.78796563 1.2942288 b
## 6 AG 579 0.2698121 0.1233687 27 0.01668053 0.5229437 c
## 8 NP 850 2.2606769 0.1233687 27 2.00754531 2.5138084 a
## 7 AG 850 0.9357511 0.1233687 27 0.68261950 1.1888826 b
## 9 EA 850 0.4261345 0.1233687 27 0.17300297 0.6792661 c## precip landuse lsmean SE df lower.CL upper.CL .group location
## 1 472 AG 0.1281525 0.1233687 27 -0.12497902 0.3812841 a Tribune
## 2 472 EA 0.4282920 0.1233687 27 0.17516042 0.6814235 a Tribune
## 3 472 NP 0.1417868 0.1233687 27 -0.11134478 0.3949183 a Tribune
## 4 579 AG 0.2698121 0.1233687 27 0.01668053 0.5229437 c Hays
## 5 579 EA 1.0410972 0.1233687 27 0.78796563 1.2942288 b Hays
## 6 579 NP 2.3942570 0.1233687 27 2.14112543 2.6473886 a Hays
## 7 850 AG 0.9357511 0.1233687 27 0.68261950 1.1888826 b Manhattan
## 8 850 EA 0.4261345 0.1233687 27 0.17300297 0.6792661 c Manhattan
## 9 850 NP 2.2606769 0.1233687 27 2.00754531 2.5138084 a Manhattan
## n mean sd se
## 1 4 0.1281525 0.02993104 0.01496552
## 2 4 0.4282920 0.03071247 0.01535623
## 3 4 0.1417868 0.05674964 0.02837482
## 4 4 0.2698121 0.03592057 0.01796028
## 5 4 1.0410972 0.17378576 0.08689288
## 6 4 2.3942570 0.17822418 0.08911209
## 7 4 0.9357511 0.29427190 0.14713595
## 8 4 0.4261345 0.12775264 0.06387632
## 9 4 2.2606769 0.61374400 0.30687200
3 Chemical
3.1 NH4+
3.1.1 0-5 cm L*P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 1.2012 0.6006 2 29 1.8387 0.1770834
## precip 4.3932 4.3932 1 29 13.4495 0.0009791 ***
## landuse:precip 0.8080 0.4040 2 29 1.2368 0.3051679
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.7304 0.3652 2 26 1.3186 0.2848213
## precip 6.3724 3.1862 2 26 11.5033 0.0002638 ***
## landuse:precip 1.0481 0.2620 4 26 0.9460 0.4533073
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.469 0.263 26 0.9277 2.009
## EA 0.655 0.263 26 0.1142 1.196
## NP 1.306 0.263 26 0.7656 1.847
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.569 0.312 26 -0.0712 1.209
## EA 0.230 0.263 26 -0.3108 0.771
## NP 0.223 0.263 26 -0.3179 0.764
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.117 0.263 26 -0.4239 0.658
## EA 0.206 0.263 26 -0.3344 0.747
## NP 0.205 0.263 26 -0.3363 0.745
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 1.469 0.263 26 0.9277 2.009 a
## NP 1.306 0.263 26 0.7656 1.847 ab
## EA 0.655 0.263 26 0.1142 1.196 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 0.569 0.312 26 -0.0712 1.209 a
## EA 0.230 0.263 26 -0.3108 0.771 a
## NP 0.223 0.263 26 -0.3179 0.764 a
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 0.206 0.263 26 -0.3344 0.747 a
## NP 0.205 0.263 26 -0.3363 0.745 a
## AG 0.117 0.263 26 -0.4239 0.658 a
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 2 AG 472 1.4685684 0.2631463 26 0.92766340 2.0094735 a
## 3 NP 472 1.3064748 0.2631463 26 0.76556978 1.8473799 ab
## 1 EA 472 0.6551187 0.2631463 26 0.11421365 1.1960237 b
## 6 AG 579 0.5691327 0.3115102 26 -0.07118574 1.2094511 a
## 5 EA 579 0.2301392 0.2631463 26 -0.31076583 0.7710443 a
## 4 NP 579 0.2229670 0.2631463 26 -0.31793809 0.7638720 a
## 7 EA 850 0.2064918 0.2631463 26 -0.33441324 0.7473969 a
## 9 NP 850 0.2045852 0.2631463 26 -0.33631982 0.7454903 a
## 8 AG 850 0.1170136 0.2631463 26 -0.42389143 0.6579187 a## precip landuse lsmean SE df lower.CL upper.CL .group location
## 1 472 AG 1.4685684 0.2631463 26 0.92766340 2.0094735 a Tribune
## 2 472 EA 0.6551187 0.2631463 26 0.11421365 1.1960237 b Tribune
## 3 472 NP 1.3064748 0.2631463 26 0.76556978 1.8473799 ab Tribune
## 4 579 AG 0.5691327 0.3115102 26 -0.07118574 1.2094511 a Hays
## 5 579 EA 0.2301392 0.2631463 26 -0.31076583 0.7710443 a Hays
## 6 579 NP 0.2229670 0.2631463 26 -0.31793809 0.7638720 a Hays
## 7 850 AG 0.1170136 0.2631463 26 -0.42389143 0.6579187 a Manhattan
## 8 850 EA 0.2064918 0.2631463 26 -0.33441324 0.7473969 a Manhattan
## 9 850 NP 0.2045852 0.2631463 26 -0.33631982 0.7454903 a Manhattan
## n mean sd se
## 1 4 1.4685684 0.760033273 0.380016636
## 2 4 0.6551187 0.729208400 0.364604200
## 3 4 1.3064748 1.104232039 0.552116020
## 4 4 NA NA NA
## 5 4 0.2301392 0.046630536 0.023315268
## 6 4 0.2229670 0.023721530 0.011860765
## 7 4 0.1170136 0.005514432 0.002757216
## 8 4 0.2064918 0.025641541 0.012820770
## 9 4 0.2045852 0.055639019 0.027819510
3.1.2 5-10 cm L*P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.278002 0.139001 2 21.341 8.0597 0.002469 **
## precip 0.045177 0.045177 1 29.873 2.6195 0.116071
## landuse:precip 0.191443 0.095722 2 20.564 5.5502 0.011817 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.19014 0.095072 2 20.0287 7.3932 0.003939 **
## precip 0.06571 0.032854 2 8.5074 2.5549 0.135210
## landuse:precip 0.31970 0.079925 4 15.9683 6.2153 0.003257 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.1783 0.0759 14.8 0.016299 0.340
## EA 0.0907 0.0759 14.8 -0.071313 0.253
## NP 0.5727 0.0759 14.8 0.410720 0.735
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.1627 0.0759 14.8 0.000675 0.325
## EA 0.1418 0.0759 14.8 -0.020193 0.304
## NP 0.1861 0.0759 14.8 0.024098 0.348
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.1247 0.0759 14.8 -0.037323 0.287
## EA 0.1423 0.0759 14.8 -0.019736 0.304
## NP 0.1247 0.0759 14.8 -0.037273 0.287
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 0.5727 0.0759 14.8 0.410720 0.735 a
## AG 0.1783 0.0759 14.8 0.016299 0.340 b
## EA 0.0907 0.0759 14.8 -0.071313 0.253 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 0.1861 0.0759 14.8 0.024098 0.348 a
## AG 0.1627 0.0759 14.8 0.000675 0.325 a
## EA 0.1418 0.0759 14.8 -0.020193 0.304 a
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 0.1423 0.0759 14.8 -0.019736 0.304 a
## NP 0.1247 0.0759 14.8 -0.037273 0.287 a
## AG 0.1247 0.0759 14.8 -0.037323 0.287 a
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 2 NP 472 0.57273153 0.07592464 14.80879 0.4107198026 0.7347433 a
## 1 AG 472 0.17831096 0.07592464 14.80879 0.0162992318 0.3403227 b
## 3 EA 472 0.09069922 0.07592464 14.80879 -0.0713125062 0.2527109 b
## 5 NP 579 0.18610944 0.07592464 14.80879 0.0240977166 0.3481212 a
## 4 AG 579 0.16268672 0.07592464 14.80879 0.0006749961 0.3246984 a
## 6 EA 579 0.14181865 0.07592464 14.80879 -0.0201930747 0.3038304 a
## 7 EA 850 0.14227587 0.07592464 14.80879 -0.0197358527 0.3042876 a
## 9 NP 850 0.12473835 0.07592464 14.80879 -0.0372733717 0.2867501 a
## 8 AG 850 0.12468901 0.07592464 14.80879 -0.0373227122 0.2867007 a## precip landuse lsmean SE df lower.CL upper.CL .group
## 1 472 AG 0.17831096 0.07592464 14.80879 0.0162992318 0.3403227 b
## 2 472 EA 0.09069922 0.07592464 14.80879 -0.0713125062 0.2527109 b
## 3 472 NP 0.57273153 0.07592464 14.80879 0.4107198026 0.7347433 a
## 4 579 AG 0.16268672 0.07592464 14.80879 0.0006749961 0.3246984 a
## 5 579 EA 0.14181865 0.07592464 14.80879 -0.0201930747 0.3038304 a
## 6 579 NP 0.18610944 0.07592464 14.80879 0.0240977166 0.3481212 a
## 7 850 AG 0.12468901 0.07592464 14.80879 -0.0373227122 0.2867007 a
## 8 850 EA 0.14227587 0.07592464 14.80879 -0.0197358527 0.3042876 a
## 9 850 NP 0.12473835 0.07592464 14.80879 -0.0372733717 0.2867501 a
## location n mean sd se
## 1 Tribune 4 0.17831096 0.01446369 0.007231845
## 2 Tribune 4 0.09069922 0.01024213 0.005121066
## 3 Tribune 4 0.57273153 0.39470025 0.197350124
## 4 Hays 4 0.16268672 0.01316266 0.006581328
## 5 Hays 4 0.14181865 0.01124820 0.005624102
## 6 Hays 4 0.18610944 0.03090962 0.015454812
## 7 Manhattan 4 0.12468901 0.02878136 0.014390678
## 8 Manhattan 4 0.14227587 0.04387854 0.021939270
## 9 Manhattan 4 0.12473835 0.07113074 0.035565369
3.1.3 10-15 cm L
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.055792 0.027896 2 30 3.8259 0.03311 *
## precip 0.016342 0.016342 1 30 2.2413 0.14482
## landuse:precip 0.033857 0.016929 2 30 2.3217 0.11548
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.058084 0.029042 2 27 4.0333 0.02933 *
## precip 0.022081 0.011041 2 27 1.5333 0.23403
## landuse:precip 0.052446 0.013111 4 27 1.8209 0.15390
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## landuse lsmean SE df lower.CL upper.CL
## AG 0.147 0.0245 24.3 0.0964 0.197
## EA 0.108 0.0245 24.3 0.0573 0.158
## NP 0.206 0.0245 24.3 0.1550 0.256
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse lsmean SE df lower.CL upper.CL .group
## NP 0.206 0.0245 24.3 0.1550 0.256 a
## AG 0.147 0.0245 24.3 0.0964 0.197 ab
## EA 0.108 0.0245 24.3 0.0573 0.158 b
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse lsmean SE df lower.CL upper.CL .group
## 2 NP 0.2055227 0.02449566 24.3 0.15499918 0.2560463 a
## 1 AG 0.1468784 0.02449566 24.3 0.09635486 0.1974020 ab
## 3 EA 0.1077822 0.02449566 24.3 0.05725865 0.1583058 b
3.2 NO3-
3.2.1 0-5 cm P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 259.52 129.76 2 29 2.4548 0.1035391
## precip 959.70 959.70 1 29 18.1552 0.0001962 ***
## landuse:precip 149.18 74.59 2 29 1.4111 0.2601302
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 252.72 126.36 2 26 3.3460 0.05092 .
## precip 1478.35 739.18 2 26 19.5732 6.517e-06 ***
## landuse:precip 185.51 46.38 4 26 1.2281 0.32322
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip lsmean SE df lower.CL upper.CL
## 472 15.035 1.77 12.6 11.19 18.88
## 579 2.316 1.89 14.0 -1.74 6.37
## 850 0.579 1.77 12.6 -3.27 4.42
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 472 15.035 1.77 12.6 11.19 18.88 a
## 579 2.316 1.89 14.0 -1.74 6.37 b
## 850 0.579 1.77 12.6 -3.27 4.42 b
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 3 472 15.0347347 1.773993 12.61386 11.190296 18.879173 a
## 2 579 2.3158475 1.888937 13.98156 -1.736021 6.367716 b
## 1 850 0.5792559 1.773993 12.61386 -3.265183 4.423695 b
3.2.2 5-10 cm L*P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 17.358 8.679 2 18.754 9.1407 0.001694 **
## precip 36.235 36.235 1 29.846 38.1636 8.68e-07 ***
## landuse:precip 8.841 4.421 2 17.913 4.6559 0.023536 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 28.640 14.320 2 23.504 16.0294 4.064e-05 ***
## precip 55.125 27.562 2 22.131 30.8527 3.975e-07 ***
## landuse:precip 9.184 2.296 4 22.920 2.5701 0.06511 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 4.7730 0.478 26.9 3.7926 5.753
## EA 2.8347 0.478 26.9 1.8544 3.815
## NP 2.1089 0.478 26.9 1.1286 3.089
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 3.2874 0.478 26.9 2.3070 4.268
## EA 0.9381 0.478 26.9 -0.0423 1.918
## NP 0.0433 0.478 26.9 -0.9370 1.024
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.4545 0.478 26.9 -0.5259 1.435
## EA 0.0651 0.478 26.9 -0.9153 1.045
## NP 0.0106 0.478 26.9 -0.9697 0.991
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 4.7730 0.478 26.9 3.7926 5.753 a
## EA 2.8347 0.478 26.9 1.8544 3.815 b
## NP 2.1089 0.478 26.9 1.1286 3.089 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 3.2874 0.478 26.9 2.3070 4.268 a
## EA 0.9381 0.478 26.9 -0.0423 1.918 b
## NP 0.0433 0.478 26.9 -0.9370 1.024 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 0.4545 0.478 26.9 -0.5259 1.435 a
## EA 0.0651 0.478 26.9 -0.9153 1.045 a
## NP 0.0106 0.478 26.9 -0.9697 0.991 a
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 3 AG 472 4.77298766 0.4777394 26.93943 3.7926443 5.753331 a
## 2 EA 472 2.83469514 0.4777394 26.93943 1.8543518 3.815038 b
## 1 NP 472 2.10894609 0.4777394 26.93943 1.1286027 3.089289 b
## 6 AG 579 3.28735393 0.4777394 26.93943 2.3070106 4.267697 a
## 5 EA 579 0.93807915 0.4777394 26.93943 -0.0422642 1.918422 b
## 4 NP 579 0.04332309 0.4777394 26.93943 -0.9370203 1.023666 b
## 9 AG 850 0.45446635 0.4777394 26.93943 -0.5258770 1.434810 a
## 8 EA 850 0.06508664 0.4777394 26.93943 -0.9152567 1.045430 a
## 7 NP 850 0.01059570 0.4777394 26.93943 -0.9697477 0.990939 a## precip landuse lsmean SE df lower.CL upper.CL .group
## 1 472 AG 4.77298766 0.4777394 26.93943 3.7926443 5.753331 a
## 2 472 EA 2.83469514 0.4777394 26.93943 1.8543518 3.815038 b
## 3 472 NP 2.10894609 0.4777394 26.93943 1.1286027 3.089289 b
## 4 579 AG 3.28735393 0.4777394 26.93943 2.3070106 4.267697 a
## 5 579 EA 0.93807915 0.4777394 26.93943 -0.0422642 1.918422 b
## 6 579 NP 0.04332309 0.4777394 26.93943 -0.9370203 1.023666 b
## 7 850 AG 0.45446635 0.4777394 26.93943 -0.5258770 1.434810 a
## 8 850 EA 0.06508664 0.4777394 26.93943 -0.9152567 1.045430 a
## 9 850 NP 0.01059570 0.4777394 26.93943 -0.9697477 0.990939 a
## location n mean sd se
## 1 Tribune 4 4.77298766 1.38631202 0.693156010
## 2 Tribune 4 2.83469514 0.41540547 0.207702735
## 3 Tribune 4 2.10894609 1.18113388 0.590566938
## 4 Hays 4 3.28735393 2.14085510 1.070427551
## 5 Hays 4 0.93807915 0.37255895 0.186279477
## 6 Hays 4 0.04332309 0.04141704 0.020708519
## 7 Manhattan 4 0.45446635 0.04623329 0.023116646
## 8 Manhattan 4 0.06508664 0.01139690 0.005698452
## 9 Manhattan 4 0.01059570 0.00517952 0.002589760
3.2.3 10-15 cm L+P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 4.7669 2.3834 2 30 4.5836 0.01832 *
## precip 15.9468 15.9468 1 30 30.6675 5.104e-06 ***
## landuse:precip 1.9554 0.9777 2 30 1.8802 0.17010
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 11.5390 5.7695 2 27 14.0956 6.429e-05 ***
## precip 16.1796 8.0898 2 27 19.7643 5.162e-06 ***
## landuse:precip 6.2708 1.5677 4 27 3.8301 0.01364 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## landuse lsmean SE df lower.CL upper.CL
## AG 1.781 0.185 24.3 1.4000 2.162
## EA 0.896 0.185 24.3 0.5150 1.277
## NP 0.414 0.185 24.3 0.0328 0.795
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse lsmean SE df lower.CL upper.CL .group
## AG 1.781 0.185 24.3 1.4000 2.162 a
## EA 0.896 0.185 24.3 0.5150 1.277 b
## NP 0.414 0.185 24.3 0.0328 0.795 b
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse lsmean SE df lower.CL upper.CL .group
## 3 AG 1.7809033 0.1846873 24.3 1.3999764 2.1618301 a
## 2 EA 0.8959524 0.1846873 24.3 0.5150255 1.2768793 b
## 1 NP 0.4137536 0.1846873 24.3 0.0328267 0.7946805 b
## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 11.5390 5.7695 2 27 14.0956 6.429e-05 ***
## precip 16.1796 8.0898 2 27 19.7643 5.162e-06 ***
## landuse:precip 6.2708 1.5677 4 27 3.8301 0.01364 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip lsmean SE df lower.CL upper.CL
## 472 1.786 0.185 13.5 1.388 2.183
## 579 1.149 0.185 13.5 0.751 1.546
## 850 0.156 0.185 13.5 -0.241 0.554
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 472 1.786 0.185 13.5 1.388 2.183 a
## 579 1.149 0.185 13.5 0.751 1.546 b
## 850 0.156 0.185 13.5 -0.241 0.554 c
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 3 472 1.785645 0.1846873 13.5 1.3881498 2.1831410 a
## 2 579 1.148596 0.1846873 13.5 0.7511003 1.5460914 b
## 1 850 0.156368 0.1846873 13.5 -0.2411276 0.5538636 c
3.3 Total Nitrogen
3.3.1 0-5 cm
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.032787 0.0163936 2 30 3.2473 0.05289 .
## precip 0.003716 0.0037165 1 30 0.7362 0.39769
## landuse:precip 0.002981 0.0014904 2 30 0.2952 0.74650
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 13.3.2 5-10 cm L
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.0057792 0.0028896 2 30 4.0590 0.02753 *
## precip 0.0026554 0.0026554 1 30 3.7300 0.06294 .
## landuse:precip 0.0002458 0.0001229 2 30 0.1726 0.84228
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## landuse lsmean SE df lower.CL upper.CL
## AG 0.158 0.00792 15.4 0.141 0.175
## EA 0.161 0.00773 26.9 0.145 0.177
## NP 0.260 0.00773 26.9 0.244 0.276
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse lsmean SE df lower.CL upper.CL .group
## NP 0.260 0.00773 26.9 0.244 0.276 a
## EA 0.161 0.00773 26.9 0.145 0.177 b
## AG 0.158 0.00792 15.4 0.141 0.175 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse lsmean SE df lower.CL upper.CL .group
## 1 NP 0.2600000 0.007726970 26.85141 0.2441415 0.2758585 a
## 2 EA 0.1608333 0.007726970 26.85141 0.1449748 0.1766919 b
## 3 AG 0.1583333 0.007921595 15.40516 0.1414874 0.1751792 b
3.3.3 10-15 cm L*P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.0022613 0.0011306 2 30 2.1009 0.13998
## precip 0.0017053 0.0017053 1 30 3.1687 0.08519 .
## landuse:precip 0.0045665 0.0022832 2 30 4.2427 0.02384 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.037006 0.0185028 2 27 41.9811 5.171e-09 ***
## precip 0.001839 0.0009194 2 27 2.0861 0.143727
## landuse:precip 0.008678 0.0021694 4 27 4.9223 0.004117 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.140 0.0105 27 0.118 0.162
## EA 0.145 0.0105 27 0.123 0.167
## NP 0.175 0.0105 27 0.153 0.197
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.122 0.0105 27 0.101 0.144
## EA 0.142 0.0105 27 0.121 0.164
## NP 0.222 0.0105 27 0.201 0.244
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.163 0.0105 27 0.141 0.184
## EA 0.125 0.0105 27 0.103 0.147
## NP 0.225 0.0105 27 0.203 0.247
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 0.175 0.0105 27 0.153 0.197 a
## EA 0.145 0.0105 27 0.123 0.167 ab
## AG 0.140 0.0105 27 0.118 0.162 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 0.222 0.0105 27 0.201 0.244 a
## EA 0.142 0.0105 27 0.121 0.164 b
## AG 0.122 0.0105 27 0.101 0.144 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 0.225 0.0105 27 0.203 0.247 a
## AG 0.163 0.0105 27 0.141 0.184 b
## EA 0.125 0.0105 27 0.103 0.147 c
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 NP 472 0.1750 0.01049691 27 0.1534621 0.1965379 a
## 2 EA 472 0.1450 0.01049691 27 0.1234621 0.1665379 ab
## 3 AG 472 0.1400 0.01049691 27 0.1184621 0.1615379 b
## 4 NP 579 0.2225 0.01049691 27 0.2009621 0.2440379 a
## 5 EA 579 0.1425 0.01049691 27 0.1209621 0.1640379 b
## 6 AG 579 0.1225 0.01049691 27 0.1009621 0.1440379 b
## 8 NP 850 0.2250 0.01049691 27 0.2034621 0.2465379 a
## 7 AG 850 0.1625 0.01049691 27 0.1409621 0.1840379 b
## 9 EA 850 0.1250 0.01049691 27 0.1034621 0.1465379 c## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 0.1400 0.01049691 27 0.1184621 0.1615379 b Tribune 4
## 2 472 EA 0.1450 0.01049691 27 0.1234621 0.1665379 ab Tribune 4
## 3 472 NP 0.1750 0.01049691 27 0.1534621 0.1965379 a Tribune 4
## 4 579 AG 0.1225 0.01049691 27 0.1009621 0.1440379 b Hays 4
## 5 579 EA 0.1425 0.01049691 27 0.1209621 0.1640379 b Hays 4
## 6 579 NP 0.2225 0.01049691 27 0.2009621 0.2440379 a Hays 4
## 7 850 AG 0.1625 0.01049691 27 0.1409621 0.1840379 b Manhattan 4
## 8 850 EA 0.1250 0.01049691 27 0.1034621 0.1465379 c Manhattan 4
## 9 850 NP 0.2250 0.01049691 27 0.2034621 0.2465379 a Manhattan 4
## mean sd se
## 1 0.1400 0.008164966 0.004082483
## 2 0.1450 0.010000000 0.005000000
## 3 0.1750 0.020816660 0.010408330
## 4 0.1225 0.018929694 0.009464847
## 5 0.1425 0.025000000 0.012500000
## 6 0.2225 0.018929694 0.009464847
## 7 0.1625 0.009574271 0.004787136
## 8 0.1250 0.012909944 0.006454972
## 9 0.2250 0.042031734 0.021015867
3.4 Total Organic Carbon
3.4.1 0-5 cm
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 3.6739 1.83695 2 24.041 2.5457 0.09936 .
## precip 0.0401 0.04007 1 24.088 0.0555 0.81569
## landuse:precip 1.8953 0.94766 2 24.041 1.3133 0.28754
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 13.4.2 5-10 cm L*P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.16035 0.08017 2 30 0.7959 0.4604606
## precip 1.69163 1.69163 1 30 16.7939 0.0002915 ***
## landuse:precip 0.75036 0.37518 2 30 3.7247 0.0359050 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 14.3807 7.1903 2 27 130.536 1.319e-14 ***
## precip 2.4270 1.2135 2 27 22.030 2.120e-06 ***
## landuse:precip 1.5496 0.3874 4 27 7.033 0.0005146 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.67 0.117 27 1.427 1.91
## EA 1.42 0.117 27 1.179 1.66
## NP 2.52 0.117 27 2.279 2.76
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.99 0.117 27 0.749 1.23
## EA 1.45 0.117 27 1.212 1.69
## NP 2.59 0.117 27 2.352 2.83
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.96 0.117 27 1.722 2.20
## EA 1.52 0.117 27 1.282 1.76
## NP 3.41 0.117 27 3.172 3.65
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 2.52 0.117 27 2.279 2.76 a
## AG 1.67 0.117 27 1.427 1.91 b
## EA 1.42 0.117 27 1.179 1.66 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 2.59 0.117 27 2.352 2.83 a
## EA 1.45 0.117 27 1.212 1.69 b
## AG 0.99 0.117 27 0.749 1.23 c
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 3.41 0.117 27 3.172 3.65 a
## AG 1.96 0.117 27 1.722 2.20 b
## EA 1.52 0.117 27 1.282 1.76 c
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 2 NP 472 2.5200 0.1173492 27 2.2792193 2.760781 a
## 1 AG 472 1.6675 0.1173492 27 1.4267193 1.908281 b
## 3 EA 472 1.4200 0.1173492 27 1.1792193 1.660781 b
## 4 NP 579 2.5925 0.1173492 27 2.3517193 2.833281 a
## 5 EA 579 1.4525 0.1173492 27 1.2117193 1.693281 b
## 6 AG 579 0.9900 0.1173492 27 0.7492193 1.230781 c
## 8 NP 850 3.4125 0.1173492 27 3.1717193 3.653281 a
## 7 AG 850 1.9625 0.1173492 27 1.7217193 2.203281 b
## 9 EA 850 1.5225 0.1173492 27 1.2817193 1.763281 c## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 1.6675 0.1173492 27 1.4267193 1.908281 b Tribune 4
## 2 472 EA 1.4200 0.1173492 27 1.1792193 1.660781 b Tribune 4
## 3 472 NP 2.5200 0.1173492 27 2.2792193 2.760781 a Tribune 4
## 4 579 AG 0.9900 0.1173492 27 0.7492193 1.230781 c Hays 4
## 5 579 EA 1.4525 0.1173492 27 1.2117193 1.693281 b Hays 4
## 6 579 NP 2.5925 0.1173492 27 2.3517193 2.833281 a Hays 4
## 7 850 AG 1.9625 0.1173492 27 1.7217193 2.203281 b Manhattan 4
## 8 850 EA 1.5225 0.1173492 27 1.2817193 1.763281 c Manhattan 4
## 9 850 NP 3.4125 0.1173492 27 3.1717193 3.653281 a Manhattan 4
## mean sd se
## 1 1.6675 0.15413738 0.07706869
## 2 1.4200 0.26178872 0.13089436
## 3 2.5200 0.35279834 0.17639917
## 4 0.9900 0.13441230 0.06720615
## 5 1.4525 0.16090888 0.08045444
## 6 2.5925 0.17914147 0.08957074
## 7 1.9625 0.07320064 0.03660032
## 8 1.5225 0.07135592 0.03567796
## 9 3.4125 0.43873872 0.21936936
3.4.3 10-15 cm L*P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.3615 0.18075 2 23.085 2.4825 0.105551
## precip 2.7765 2.77650 1 22.620 38.1335 2.872e-06 ***
## landuse:precip 1.2321 0.61602 2 23.085 8.4607 0.001752 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 6.9614 3.4807 2 22.464 64.6753 4.780e-10 ***
## precip 3.0641 1.5321 2 12.489 28.4674 2.228e-05 ***
## landuse:precip 1.6607 0.4152 4 22.464 7.7142 0.0004555 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.325 0.118 26.8 1.082 1.57
## EA 1.300 0.118 26.8 1.057 1.54
## NP 1.760 0.118 26.8 1.517 2.00
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.945 0.118 26.8 0.702 1.19
## EA 1.230 0.118 26.8 0.987 1.47
## NP 2.112 0.118 26.8 1.869 2.36
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.880 0.118 26.8 1.637 2.12
## EA 1.387 0.118 26.8 1.144 1.63
## NP 2.953 0.118 26.8 2.709 3.20
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 1.760 0.118 26.8 1.517 2.00 a
## AG 1.325 0.118 26.8 1.082 1.57 b
## EA 1.300 0.118 26.8 1.057 1.54 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 2.112 0.118 26.8 1.869 2.36 a
## EA 1.230 0.118 26.8 0.987 1.47 b
## AG 0.945 0.118 26.8 0.702 1.19 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 2.953 0.118 26.8 2.709 3.20 a
## AG 1.880 0.118 26.8 1.637 2.12 b
## EA 1.387 0.118 26.8 1.144 1.63 c
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 2 NP 472 1.7600 0.118403 26.82631 1.5169835 2.003016 a
## 1 AG 472 1.3250 0.118403 26.82631 1.0819835 1.568016 b
## 3 EA 472 1.3000 0.118403 26.82631 1.0569835 1.543016 b
## 4 NP 579 2.1125 0.118403 26.82631 1.8694835 2.355516 a
## 5 EA 579 1.2300 0.118403 26.82631 0.9869835 1.473016 b
## 6 AG 579 0.9450 0.118403 26.82631 0.7019835 1.188016 b
## 8 NP 850 2.9525 0.118403 26.82631 2.7094835 3.195516 a
## 7 AG 850 1.8800 0.118403 26.82631 1.6369835 2.123016 b
## 9 EA 850 1.3875 0.118403 26.82631 1.1444835 1.630516 c## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 1.3250 0.118403 26.82631 1.0819835 1.568016 b Tribune 4
## 2 472 EA 1.3000 0.118403 26.82631 1.0569835 1.543016 b Tribune 4
## 3 472 NP 1.7600 0.118403 26.82631 1.5169835 2.003016 a Tribune 4
## 4 579 AG 0.9450 0.118403 26.82631 0.7019835 1.188016 b Hays 4
## 5 579 EA 1.2300 0.118403 26.82631 0.9869835 1.473016 b Hays 4
## 6 579 NP 2.1125 0.118403 26.82631 1.8694835 2.355516 a Hays 4
## 7 850 AG 1.8800 0.118403 26.82631 1.6369835 2.123016 b Manhattan 4
## 8 850 EA 1.3875 0.118403 26.82631 1.1444835 1.630516 c Manhattan 4
## 9 850 NP 2.9525 0.118403 26.82631 2.7094835 3.195516 a Manhattan 4
## mean sd se
## 1 1.3250 0.06557439 0.03278719
## 2 1.3000 0.22105806 0.11052903
## 3 1.7600 0.12727922 0.06363961
## 4 0.9450 0.17935068 0.08967534
## 5 1.2300 0.17454703 0.08727352
## 6 2.1125 0.16111590 0.08055795
## 7 1.8800 0.18814888 0.09407444
## 8 1.3875 0.03593976 0.01796988
## 9 2.9525 0.55721779 0.27860890
3.5 Extractable Ca Content (mg/kg)
3.5.1 0-5 cm L*P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 10526795 5263397 2 22.781 60.384 7.837e-10 ***
## precip 29875092 29875092 1 21.561 342.742 1.014e-14 ***
## landuse:precip 15040461 7520230 2 22.781 86.276 2.347e-11 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 7009233 3504617 2 27 49.290 9.728e-10 ***
## precip 31173574 15586787 2 27 219.216 < 2.2e-16 ***
## landuse:precip 15354522 3838631 4 27 53.987 1.710e-12 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 1445 133 27 1172 1719
## EA 1549 133 27 1275 1822
## NP 2129 133 27 1855 2402
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 2633 133 27 2359 2907
## EA 2224 133 27 1951 2498
## NP 2886 133 27 2612 3159
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 5797 133 27 5524 6071
## EA 2860 133 27 2586 3133
## NP 3246 133 27 2972 3519
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 2129 133 27 1855 2402 a
## EA 1549 133 27 1275 1822 b
## AG 1445 133 27 1172 1719 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 2886 133 27 2612 3159 a
## AG 2633 133 27 2359 2907 a
## EA 2224 133 27 1951 2498 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 5797 133 27 5524 6071 a
## NP 3246 133 27 2972 3519 b
## EA 2860 133 27 2586 3133 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 NP 472 2128.800 133.3251 27 1855.239 2402.361 a
## 2 EA 472 1548.825 133.3251 27 1275.264 1822.386 b
## 3 AG 472 1445.200 133.3251 27 1171.639 1718.761 b
## 5 NP 579 2885.750 133.3251 27 2612.189 3159.311 a
## 4 AG 579 2632.950 133.3251 27 2359.389 2906.511 a
## 6 EA 579 2224.500 133.3251 27 1950.939 2498.061 b
## 8 AG 850 5797.475 133.3251 27 5523.914 6071.036 a
## 9 NP 850 3245.700 133.3251 27 2972.139 3519.261 b
## 7 EA 850 2859.800 133.3251 27 2586.239 3133.361 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 1445.200 133.3251 27 1171.639 1718.761 b Tribune 4
## 2 472 EA 1548.825 133.3251 27 1275.264 1822.386 b Tribune 4
## 3 472 NP 2128.800 133.3251 27 1855.239 2402.361 a Tribune 4
## 4 579 AG 2632.950 133.3251 27 2359.389 2906.511 a Hays 4
## 5 579 EA 2224.500 133.3251 27 1950.939 2498.061 b Hays 4
## 6 579 NP 2885.750 133.3251 27 2612.189 3159.311 a Hays 4
## 7 850 AG 5797.475 133.3251 27 5523.914 6071.036 a Manhattan 4
## 8 850 EA 2859.800 133.3251 27 2586.239 3133.361 b Manhattan 4
## 9 850 NP 3245.700 133.3251 27 2972.139 3519.261 b Manhattan 4
## mean sd se
## 1 1445.200 359.76261 179.88130
## 2 1548.825 319.85041 159.92520
## 3 2128.800 287.99980 143.99990
## 4 2632.950 136.66608 68.33304
## 5 2224.500 34.23935 17.11968
## 6 2885.750 298.12791 149.06395
## 7 5797.475 256.31446 128.15723
## 8 2859.800 147.20931 73.60465
## 9 3245.700 359.36890 179.68445
3.5.2 5-10 cm L*P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 10832552 5416276 2 26.715 62.460 8.467e-11 ***
## precip 21485011 21485011 1 29.995 247.765 4.855e-16 ***
## landuse:precip 17045109 8522555 2 26.262 98.282 6.399e-13 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 9036133 4518066 2 24.347 62.697 2.491e-10 ***
## precip 21699428 10849714 2 22.878 150.561 6.797e-14 ***
## landuse:precip 17326979 4331745 4 23.817 60.111 4.237e-12 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 9036133 4518066 2 24.347 62.697 2.491e-10 ***
## precip 21699428 10849714 2 22.878 150.561 6.797e-14 ***
## landuse:precip 17326979 4331745 4 23.817 60.111 4.237e-12 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 1610 137 26.8 1330 1891
## EA 1700 137 26.8 1420 1980
## NP 2225 137 26.8 1945 2506
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 2844 137 26.8 2564 3125
## EA 2453 137 26.8 2172 2733
## NP 2436 137 26.8 2155 2716
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 5812 137 26.8 5532 6093
## EA 2550 137 26.8 2270 2831
## NP 2934 137 26.8 2654 3215
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 2225 137 26.8 1945 2506 a
## EA 1700 137 26.8 1420 1980 b
## AG 1610 137 26.8 1330 1891 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 2844 137 26.8 2564 3125 a
## EA 2453 137 26.8 2172 2733 ab
## NP 2436 137 26.8 2155 2716 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 5812 137 26.8 5532 6093 a
## NP 2934 137 26.8 2654 3215 b
## EA 2550 137 26.8 2270 2831 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 NP 472 2225.350 136.5988 26.84412 1944.996 2505.704 a
## 2 EA 472 1700.125 136.5988 26.84412 1419.771 1980.479 b
## 3 AG 472 1610.475 136.5988 26.84412 1330.121 1890.829 b
## 6 AG 579 2844.325 136.5988 26.84412 2563.971 3124.679 a
## 5 EA 579 2452.750 136.5988 26.84412 2172.396 2733.104 ab
## 4 NP 579 2435.500 136.5988 26.84412 2155.146 2715.854 b
## 8 AG 850 5812.175 136.5988 26.84412 5531.821 6092.529 a
## 9 NP 850 2934.275 136.5988 26.84412 2653.921 3214.629 b
## 7 EA 850 2550.275 136.5988 26.84412 2269.921 2830.629 b## precip landuse lsmean SE df lower.CL upper.CL .group location
## 1 472 AG 1610.475 136.5988 26.84412 1330.121 1890.829 b Tribune
## 2 472 EA 1700.125 136.5988 26.84412 1419.771 1980.479 b Tribune
## 3 472 NP 2225.350 136.5988 26.84412 1944.996 2505.704 a Tribune
## 4 579 AG 2844.325 136.5988 26.84412 2563.971 3124.679 a Hays
## 5 579 EA 2452.750 136.5988 26.84412 2172.396 2733.104 ab Hays
## 6 579 NP 2435.500 136.5988 26.84412 2155.146 2715.854 b Hays
## 7 850 AG 5812.175 136.5988 26.84412 5531.821 6092.529 a Manhattan
## 8 850 EA 2550.275 136.5988 26.84412 2269.921 2830.629 b Manhattan
## 9 850 NP 2934.275 136.5988 26.84412 2653.921 3214.629 b Manhattan
## n mean sd se
## 1 4 1610.475 415.98811 207.99406
## 2 4 1700.125 390.29288 195.14644
## 3 4 2225.350 176.83962 88.41981
## 4 4 2844.325 35.85121 17.92560
## 5 4 2452.750 152.96704 76.48352
## 6 4 2435.500 56.45942 28.22971
## 7 4 5812.175 206.22855 103.11428
## 8 4 2550.275 69.82957 34.91479
## 9 4 2934.275 490.09442 245.04721
3.5.3 10-15 cm L*P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 2916289 1458145 2 30 4.7086 0.0166551 *
## precip 5287323 5287323 1 30 17.0735 0.0002653 ***
## landuse:precip 5961045 2980522 2 30 9.6245 0.0005900 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 7358980 3679490 2 27 12.6716 0.0001315 ***
## precip 5663302 2831651 2 27 9.7518 0.0006491 ***
## landuse:precip 7035408 1758852 4 27 6.0572 0.0012981 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 2596 269 27 2043 3149
## EA 2116 269 27 1563 2668
## NP 2381 269 27 1828 2934
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 3058 269 27 2505 3611
## EA 2944 269 27 2391 3497
## NP 2586 269 27 2033 3139
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 4824 269 27 4271 5376
## EA 2450 269 27 1897 3003
## NP 2734 269 27 2181 3286
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 2596 269 27 2043 3149 a
## NP 2381 269 27 1828 2934 a
## EA 2116 269 27 1563 2668 a
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 3058 269 27 2505 3611 a
## EA 2944 269 27 2391 3497 a
## NP 2586 269 27 2033 3139 a
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 4824 269 27 4271 5376 a
## NP 2734 269 27 2181 3286 b
## EA 2450 269 27 1897 3003 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 2 AG 472 2595.875 269.431 27 2043.048 3148.702 a
## 3 NP 472 2381.250 269.431 27 1828.423 2934.077 a
## 1 EA 472 2115.500 269.431 27 1562.673 2668.327 a
## 6 AG 579 3058.025 269.431 27 2505.198 3610.852 a
## 5 EA 579 2944.000 269.431 27 2391.173 3496.827 a
## 4 NP 579 2586.000 269.431 27 2033.173 3138.827 a
## 8 AG 850 4823.625 269.431 27 4270.798 5376.452 a
## 9 NP 850 2733.550 269.431 27 2180.723 3286.377 b
## 7 EA 850 2449.725 269.431 27 1896.898 3002.552 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 2595.875 269.431 27 2043.048 3148.702 a Tribune 4
## 2 472 EA 2115.500 269.431 27 1562.673 2668.327 a Tribune 4
## 3 472 NP 2381.250 269.431 27 1828.423 2934.077 a Tribune 4
## 4 579 AG 3058.025 269.431 27 2505.198 3610.852 a Hays 4
## 5 579 EA 2944.000 269.431 27 2391.173 3496.827 a Hays 4
## 6 579 NP 2586.000 269.431 27 2033.173 3138.827 a Hays 4
## 7 850 AG 4823.625 269.431 27 4270.798 5376.452 a Manhattan 4
## 8 850 EA 2449.725 269.431 27 1896.898 3002.552 b Manhattan 4
## 9 850 NP 2733.550 269.431 27 2180.723 3286.377 b Manhattan 4
## mean sd se
## 1 2595.875 1113.66838 556.83419
## 2 2115.500 277.32661 138.66330
## 3 2381.250 261.71700 130.85850
## 4 3058.025 308.17177 154.08589
## 5 2944.000 315.99473 157.99736
## 6 2586.000 47.43416 23.71708
## 7 4823.625 795.31067 397.65534
## 8 2449.725 75.88120 37.94060
## 9 2733.550 626.36808 313.18404
3.6 Extractable Cu Content (mg/kg)
3.6.1 0-5 cm L*P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.80480 0.40240 2 21.599 19.063 1.697e-05 ***
## precip 0.26667 0.26667 1 26.774 12.633 0.001433 **
## landuse:precip 0.64562 0.32281 2 21.599 15.293 7.289e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.35389 0.17694 2 27 9.800 0.0006312 ***
## precip 0.75056 0.37528 2 27 20.785 3.433e-06 ***
## landuse:precip 0.74444 0.18611 4 27 10.308 3.361e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.30 0.0672 27 1.162 1.44
## EA 1.48 0.0672 27 1.337 1.61
## NP 1.05 0.0672 27 0.912 1.19
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.55 0.0672 27 1.412 1.69
## EA 1.90 0.0672 27 1.762 2.04
## NP 1.40 0.0672 27 1.262 1.54
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.25 0.0672 27 1.112 1.39
## EA 1.30 0.0672 27 1.162 1.44
## NP 1.55 0.0672 27 1.412 1.69
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 1.48 0.0672 27 1.337 1.61 a
## AG 1.30 0.0672 27 1.162 1.44 a
## NP 1.05 0.0672 27 0.912 1.19 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 1.90 0.0672 27 1.762 2.04 a
## AG 1.55 0.0672 27 1.412 1.69 b
## NP 1.40 0.0672 27 1.262 1.54 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 1.55 0.0672 27 1.412 1.69 a
## EA 1.30 0.0672 27 1.162 1.44 b
## AG 1.25 0.0672 27 1.112 1.39 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 3 EA 472 1.475 0.06718548 27 1.3371468 1.612853 a
## 1 AG 472 1.300 0.06718548 27 1.1621468 1.437853 a
## 2 NP 472 1.050 0.06718548 27 0.9121468 1.187853 b
## 6 EA 579 1.900 0.06718548 27 1.7621468 2.037853 a
## 4 AG 579 1.550 0.06718548 27 1.4121468 1.687853 b
## 5 NP 579 1.400 0.06718548 27 1.2621468 1.537853 b
## 7 NP 850 1.550 0.06718548 27 1.4121468 1.687853 a
## 8 EA 850 1.300 0.06718548 27 1.1621468 1.437853 b
## 9 AG 850 1.250 0.06718548 27 1.1121468 1.387853 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 1.300 0.06718548 27 1.1621468 1.437853 a Tribune 4
## 2 472 EA 1.475 0.06718548 27 1.3371468 1.612853 a Tribune 4
## 3 472 NP 1.050 0.06718548 27 0.9121468 1.187853 b Tribune 4
## 4 579 AG 1.550 0.06718548 27 1.4121468 1.687853 b Hays 4
## 5 579 EA 1.900 0.06718548 27 1.7621468 2.037853 a Hays 4
## 6 579 NP 1.400 0.06718548 27 1.2621468 1.537853 b Hays 4
## 7 850 AG 1.250 0.06718548 27 1.1121468 1.387853 b Manhattan 4
## 8 850 EA 1.300 0.06718548 27 1.1621468 1.437853 b Manhattan 4
## 9 850 NP 1.550 0.06718548 27 1.4121468 1.687853 a Manhattan 4
## mean sd se
## 1 1.300 0.00000000 0.00000000
## 2 1.475 0.17078251 0.08539126
## 3 1.050 0.10000000 0.05000000
## 4 1.550 0.05773503 0.02886751
## 5 1.900 0.16329932 0.08164966
## 6 1.400 0.16329932 0.08164966
## 7 1.250 0.17320508 0.08660254
## 8 1.300 0.08164966 0.04082483
## 9 1.550 0.17320508 0.08660254
3.6.2 5-10 cm L*P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.35934 0.179670 2 23.054 9.0448 0.001260 **
## precip 0.04352 0.043516 1 25.197 2.1907 0.151244
## landuse:precip 0.32113 0.160566 2 22.752 8.0831 0.002228 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.37167 0.18583 2 27 7.8093 0.002108 **
## precip 0.78167 0.39083 2 27 16.4241 2.154e-05 ***
## landuse:precip 0.93167 0.23292 4 27 9.7879 5.010e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.400 0.0771 27 1.242 1.56
## EA 1.325 0.0771 27 1.167 1.48
## NP 0.975 0.0771 27 0.817 1.13
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.450 0.0771 27 1.292 1.61
## EA 1.825 0.0771 27 1.667 1.98
## NP 1.500 0.0771 27 1.342 1.66
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.150 0.0771 27 0.992 1.31
## EA 1.550 0.0771 27 1.392 1.71
## NP 1.650 0.0771 27 1.492 1.81
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 1.400 0.0771 27 1.242 1.56 a
## EA 1.325 0.0771 27 1.167 1.48 a
## NP 0.975 0.0771 27 0.817 1.13 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 1.825 0.0771 27 1.667 1.98 a
## NP 1.500 0.0771 27 1.342 1.66 b
## AG 1.450 0.0771 27 1.292 1.61 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 1.650 0.0771 27 1.492 1.81 a
## EA 1.550 0.0771 27 1.392 1.71 a
## AG 1.150 0.0771 27 0.992 1.31 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 3 AG 472 1.400 0.07713024 27 1.2417418 1.558258 a
## 2 EA 472 1.325 0.07713024 27 1.1667418 1.483258 a
## 1 NP 472 0.975 0.07713024 27 0.8167418 1.133258 b
## 4 EA 579 1.825 0.07713024 27 1.6667418 1.983258 a
## 6 NP 579 1.500 0.07713024 27 1.3417418 1.658258 b
## 5 AG 579 1.450 0.07713024 27 1.2917418 1.608258 b
## 7 NP 850 1.650 0.07713024 27 1.4917418 1.808258 a
## 8 EA 850 1.550 0.07713024 27 1.3917418 1.708258 a
## 9 AG 850 1.150 0.07713024 27 0.9917418 1.308258 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 1.400 0.07713024 27 1.2417418 1.558258 a Tribune 4
## 2 472 EA 1.325 0.07713024 27 1.1667418 1.483258 a Tribune 4
## 3 472 NP 0.975 0.07713024 27 0.8167418 1.133258 b Tribune 4
## 4 579 AG 1.450 0.07713024 27 1.2917418 1.608258 b Hays 4
## 5 579 EA 1.825 0.07713024 27 1.6667418 1.983258 a Hays 4
## 6 579 NP 1.500 0.07713024 27 1.3417418 1.658258 b Hays 4
## 7 850 AG 1.150 0.07713024 27 0.9917418 1.308258 b Manhattan 4
## 8 850 EA 1.550 0.07713024 27 1.3917418 1.708258 a Manhattan 4
## 9 850 NP 1.650 0.07713024 27 1.4917418 1.808258 a Manhattan 4
## mean sd se
## 1 1.400 0.08164966 0.04082483
## 2 1.325 0.34034296 0.17017148
## 3 0.975 0.05000000 0.02500000
## 4 1.450 0.10000000 0.05000000
## 5 1.825 0.09574271 0.04787136
## 6 1.500 0.14142136 0.07071068
## 7 1.150 0.12909944 0.06454972
## 8 1.550 0.05773503 0.02886751
## 9 1.650 0.17320508 0.08660254
3.6.3 10-15 cm P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.23902 0.11951 2 19.288 1.2545 0.3075
## precip 0.40712 0.40712 1 29.123 4.2733 0.0477 *
## landuse:precip 0.22971 0.11486 2 19.288 1.2056 0.3211
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.06056 0.03028 2 22.025 0.3403 0.7152350
## precip 2.48820 1.24410 2 11.788 13.9826 0.0007733 ***
## landuse:precip 0.36444 0.09111 4 22.025 1.0240 0.4167914
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip lsmean SE df lower.CL upper.CL
## 472 0.992 0.0903 12.2 0.795 1.19
## 579 1.558 0.0903 12.2 1.362 1.75
## 850 1.608 0.0903 12.2 1.412 1.80
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 850 1.608 0.0903 12.2 1.412 1.80 a
## 579 1.558 0.0903 12.2 1.362 1.75 a
## 472 0.992 0.0903 12.2 0.795 1.19 b
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 1 850 1.6083333 0.09028076 12.18142 1.4119529 1.804714 a
## 2 579 1.5583333 0.09028076 12.18142 1.3619529 1.754714 a
## 3 472 0.9916667 0.09028076 12.18142 0.7952862 1.188047 b
3.7 Extractable Mg Content (mg/kg)
3.7.1 0-5 cm L*P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 73281 36640 2 30 5.2138 0.011393 *
## precip 5291 5291 1 30 0.7529 0.392456
## landuse:precip 112623 56312 2 30 8.0130 0.001628 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 57111 28555 2 27 16.242 2.338e-05 ***
## precip 39459 19730 2 27 11.222 0.0002836 ***
## landuse:precip 241814 60453 4 27 34.386 3.111e-10 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 259 21 27 216 302
## EA 285 21 27 242 328
## NP 378 21 27 335 421
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 466 21 27 423 509
## EA 378 21 27 334 421
## NP 320 21 27 277 363
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 164 21 27 121 207
## EA 422 21 27 379 465
## NP 478 21 27 435 521
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 378 21 27 335 421 a
## EA 285 21 27 242 328 b
## AG 259 21 27 216 302 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 466 21 27 423 509 a
## EA 378 21 27 334 421 b
## NP 320 21 27 277 363 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 478 21 27 435 521 a
## EA 422 21 27 379 465 a
## AG 164 21 27 121 207 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 NP 472 377.675 20.96458 27 334.6592 420.6908 a
## 2 EA 472 285.225 20.96458 27 242.2092 328.2408 b
## 3 AG 472 259.075 20.96458 27 216.0592 302.0908 b
## 6 AG 579 466.375 20.96458 27 423.3592 509.3908 a
## 5 EA 579 377.500 20.96458 27 334.4842 420.5158 b
## 4 NP 579 320.250 20.96458 27 277.2342 363.2658 b
## 7 NP 850 477.550 20.96458 27 434.5342 520.5658 a
## 8 EA 850 422.150 20.96458 27 379.1342 465.1658 a
## 9 AG 850 163.700 20.96458 27 120.6842 206.7158 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 259.075 20.96458 27 216.0592 302.0908 b Tribune 4
## 2 472 EA 285.225 20.96458 27 242.2092 328.2408 b Tribune 4
## 3 472 NP 377.675 20.96458 27 334.6592 420.6908 a Tribune 4
## 4 579 AG 466.375 20.96458 27 423.3592 509.3908 a Hays 4
## 5 579 EA 377.500 20.96458 27 334.4842 420.5158 b Hays 4
## 6 579 NP 320.250 20.96458 27 277.2342 363.2658 b Hays 4
## 7 850 AG 163.700 20.96458 27 120.6842 206.7158 b Manhattan 4
## 8 850 EA 422.150 20.96458 27 379.1342 465.1658 a Manhattan 4
## 9 850 NP 477.550 20.96458 27 434.5342 520.5658 a Manhattan 4
## mean sd se
## 1 259.075 43.06231 21.531155
## 2 285.225 16.99419 8.497095
## 3 377.675 52.04737 26.023687
## 4 466.375 43.60255 21.801276
## 5 377.500 69.67305 34.836523
## 6 320.250 41.88377 20.941884
## 7 163.700 12.10702 6.053511
## 8 422.150 20.18341 10.091705
## 9 477.550 43.66551 21.832754
3.7.2 5-10 cm L*P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 110597 55299 2 30 7.1464 0.0028962 **
## precip 16017 16017 1 30 2.0700 0.1605757
## landuse:precip 157633 78816 2 30 10.1856 0.0004208 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 46535 23268 2 27 28.783 2.024e-07 ***
## precip 54057 27028 2 27 33.435 4.946e-08 ***
## landuse:precip 329907 82477 4 27 102.028 6.884e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 253 14.2 27 224 282
## EA 261 14.2 27 232 290
## NP 355 14.2 27 326 384
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 475 14.2 27 446 504
## EA 396 14.2 27 367 425
## NP 271 14.2 27 242 300
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 149 14.2 27 120 178
## EA 451 14.2 27 422 480
## NP 477 14.2 27 448 507
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 355 14.2 27 326 384 a
## EA 261 14.2 27 232 290 b
## AG 253 14.2 27 224 282 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 475 14.2 27 446 504 a
## EA 396 14.2 27 367 425 b
## NP 271 14.2 27 242 300 c
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 477 14.2 27 448 507 a
## EA 451 14.2 27 422 480 a
## AG 149 14.2 27 120 178 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 NP 472 355.250 14.21596 27 326.0813 384.4187 a
## 2 EA 472 261.225 14.21596 27 232.0563 290.3937 b
## 3 AG 472 252.950 14.21596 27 223.7813 282.1187 b
## 6 AG 579 474.925 14.21596 27 445.7563 504.0937 a
## 5 EA 579 395.750 14.21596 27 366.5813 424.9187 b
## 4 NP 579 271.000 14.21596 27 241.8313 300.1687 c
## 7 NP 850 477.475 14.21596 27 448.3063 506.6437 a
## 8 EA 850 451.100 14.21596 27 421.9313 480.2687 a
## 9 AG 850 149.250 14.21596 27 120.0813 178.4187 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 252.950 14.21596 27 223.7813 282.1187 b Tribune 4
## 2 472 EA 261.225 14.21596 27 232.0563 290.3937 b Tribune 4
## 3 472 NP 355.250 14.21596 27 326.0813 384.4187 a Tribune 4
## 4 579 AG 474.925 14.21596 27 445.7563 504.0937 a Hays 4
## 5 579 EA 395.750 14.21596 27 366.5813 424.9187 b Hays 4
## 6 579 NP 271.000 14.21596 27 241.8313 300.1687 c Hays 4
## 7 850 AG 149.250 14.21596 27 120.0813 178.4187 b Manhattan 4
## 8 850 EA 451.100 14.21596 27 421.9313 480.2687 a Manhattan 4
## 9 850 NP 477.475 14.21596 27 448.3063 506.6437 a Manhattan 4
## mean sd se
## 1 252.950 38.756806 19.378403
## 2 261.225 11.558366 5.779183
## 3 355.250 32.896454 16.448227
## 4 474.925 45.851817 22.925909
## 5 395.750 34.625376 17.312688
## 6 271.000 14.445299 7.222650
## 7 149.250 4.872713 2.436357
## 8 451.100 9.529253 4.764627
## 9 477.475 30.544762 15.272381
3.7.3 10-15 cm L*P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 128756 64378 2 18.657 7.7128 0.003621 **
## precip 8519 8519 1 23.553 1.0206 0.322647
## landuse:precip 154460 77230 2 18.657 9.2525 0.001616 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 57111 28555 2 27 16.242 2.338e-05 ***
## precip 39459 19730 2 27 11.222 0.0002836 ***
## landuse:precip 241814 60453 4 27 34.386 3.111e-10 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 259 21 27 216 302
## EA 285 21 27 242 328
## NP 378 21 27 335 421
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 466 21 27 423 509
## EA 378 21 27 334 421
## NP 320 21 27 277 363
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 164 21 27 121 207
## EA 422 21 27 379 465
## NP 478 21 27 435 521
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 378 21 27 335 421 a
## EA 285 21 27 242 328 b
## AG 259 21 27 216 302 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 466 21 27 423 509 a
## EA 378 21 27 334 421 b
## NP 320 21 27 277 363 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 478 21 27 435 521 a
## EA 422 21 27 379 465 a
## AG 164 21 27 121 207 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 NP 472 377.675 20.96458 27 334.6592 420.6908 a
## 2 EA 472 285.225 20.96458 27 242.2092 328.2408 b
## 3 AG 472 259.075 20.96458 27 216.0592 302.0908 b
## 6 AG 579 466.375 20.96458 27 423.3592 509.3908 a
## 5 EA 579 377.500 20.96458 27 334.4842 420.5158 b
## 4 NP 579 320.250 20.96458 27 277.2342 363.2658 b
## 7 NP 850 477.550 20.96458 27 434.5342 520.5658 a
## 8 EA 850 422.150 20.96458 27 379.1342 465.1658 a
## 9 AG 850 163.700 20.96458 27 120.6842 206.7158 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 259.075 20.96458 27 216.0592 302.0908 b Tribune 4
## 2 472 EA 285.225 20.96458 27 242.2092 328.2408 b Tribune 4
## 3 472 NP 377.675 20.96458 27 334.6592 420.6908 a Tribune 4
## 4 579 AG 466.375 20.96458 27 423.3592 509.3908 a Hays 4
## 5 579 EA 377.500 20.96458 27 334.4842 420.5158 b Hays 4
## 6 579 NP 320.250 20.96458 27 277.2342 363.2658 b Hays 4
## 7 850 AG 163.700 20.96458 27 120.6842 206.7158 b Manhattan 4
## 8 850 EA 422.150 20.96458 27 379.1342 465.1658 a Manhattan 4
## 9 850 NP 477.550 20.96458 27 434.5342 520.5658 a Manhattan 4
## mean sd se
## 1 311.000 41.69101 20.845503
## 2 275.400 19.98216 9.991079
## 3 298.650 21.59282 10.796411
## 4 507.725 78.03535 39.017675
## 5 481.500 124.23768 62.118838
## 6 295.250 18.82153 9.410765
## 7 223.625 95.24223 47.621115
## 8 485.225 17.33905 8.669523
## 9 477.750 31.00478 15.502392
3.8 Extractable Mn Content (mg/kg)
3.8.1 0-5 cm L*P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 2677.4 1338.7 2 30 5.4179 0.009799 **
## precip 6811.9 6811.9 1 30 27.5693 1.148e-05 ***
## landuse:precip 2857.1 1428.6 2 30 5.7818 0.007519 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 242.6 121.3 2 27 0.6326 0.538894
## precip 7248.9 3624.5 2 27 18.9060 7.346e-06 ***
## landuse:precip 4656.5 1164.1 4 27 6.0723 0.001279 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 71.4 6.92 27 57.22 85.6
## EA 68.4 6.92 27 54.20 82.6
## NP 38.9 6.92 27 24.70 53.1
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 28.6 6.92 27 14.40 42.8
## EA 48.4 6.92 27 34.15 62.6
## NP 49.4 6.92 27 35.20 63.6
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 16.6 6.92 27 2.37 30.8
## EA 18.9 6.92 27 4.67 33.1
## NP 39.0 6.92 27 24.80 53.2
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 71.4 6.92 27 57.22 85.6 a
## EA 68.4 6.92 27 54.20 82.6 a
## NP 38.9 6.92 27 24.70 53.1 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 49.4 6.92 27 35.20 63.6 a
## EA 48.4 6.92 27 34.15 62.6 ab
## AG 28.6 6.92 27 14.40 42.8 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 39.0 6.92 27 24.80 53.2 a
## EA 18.9 6.92 27 4.67 33.1 ab
## AG 16.6 6.92 27 2.37 30.8 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 3 AG 472 71.425 6.922944 27 57.220292 85.62971 a
## 2 EA 472 68.400 6.922944 27 54.195292 82.60471 a
## 1 NP 472 38.900 6.922944 27 24.695292 53.10471 b
## 4 NP 579 49.400 6.922944 27 35.195292 63.60471 a
## 5 EA 579 48.350 6.922944 27 34.145292 62.55471 ab
## 6 AG 579 28.600 6.922944 27 14.395292 42.80471 b
## 7 NP 850 39.000 6.922944 27 24.795292 53.20471 a
## 8 EA 850 18.875 6.922944 27 4.670292 33.07971 ab
## 9 AG 850 16.575 6.922944 27 2.370292 30.77971 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 71.425 6.922944 27 57.220292 85.62971 a Tribune 4
## 2 472 EA 68.400 6.922944 27 54.195292 82.60471 a Tribune 4
## 3 472 NP 38.900 6.922944 27 24.695292 53.10471 b Tribune 4
## 4 579 AG 28.600 6.922944 27 14.395292 42.80471 b Hays 4
## 5 579 EA 48.350 6.922944 27 34.145292 62.55471 ab Hays 4
## 6 579 NP 49.400 6.922944 27 35.195292 63.60471 a Hays 4
## 7 850 AG 16.575 6.922944 27 2.370292 30.77971 b Manhattan 4
## 8 850 EA 18.875 6.922944 27 4.670292 33.07971 ab Manhattan 4
## 9 850 NP 39.000 6.922944 27 24.795292 53.20471 a Manhattan 4
## mean sd se
## 1 71.425 30.767881 15.383940
## 2 68.400 24.077098 12.038549
## 3 38.900 2.929164 1.464582
## 4 28.600 4.533578 2.266789
## 5 48.350 11.128791 5.564396
## 6 49.400 2.021551 1.010775
## 7 16.575 3.348009 1.674005
## 8 18.875 0.917878 0.458939
## 9 39.000 5.466870 2.733435
3.8.2 5-10 cm P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 684.33 342.17 2 30 2.3057 0.1170911
## precip 2422.07 2422.07 1 30 16.3213 0.0003421 ***
## landuse:precip 937.55 468.77 2 30 3.1589 0.0568907 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 182.81 91.41 2 20.868 1.7656 0.195694
## precip 1554.28 777.14 2 9.467 15.0116 0.001159 **
## landuse:precip 2685.85 671.46 4 16.975 12.9702 5.099e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip lsmean SE df lower.CL upper.CL
## 472 42.7 3.07 10.27 35.9 49.5
## 579 34.1 3.67 6.71 25.4 42.9
## 850 22.5 3.67 6.71 13.7 31.2
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 472 42.7 3.07 10.27 35.9 49.5 a
## 579 34.1 3.67 6.71 25.4 42.9 a
## 850 22.5 3.67 6.71 13.7 31.2 b
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 3 472 42.73333 3.065944 10.265674 35.92587 49.54079 a
## 2 579 34.10833 3.669975 6.713487 25.35457 42.86209 a
## 1 850 22.45833 3.669975 6.713487 13.70457 31.21209 b
3.8.3 10-15 cm
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 110.197 55.099 2 30 0.5042 0.6090
## precip 261.908 261.908 1 30 2.3967 0.1321
## landuse:precip 88.779 44.390 2 30 0.4062 0.66983.9 Extractable Na Content (mg/kg)
3.9.1 0-5 cm L*P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 66.01 33.01 2 23.510 2.5208 0.10189
## precip 1058.94 1058.94 1 24.823 80.8761 2.779e-09 ***
## landuse:precip 93.64 46.82 2 23.510 3.5758 0.04407 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 29.40 14.70 2 22.427 1.9051 0.1721177
## precip 989.15 494.57 2 11.629 64.1072 5.246e-07 ***
## landuse:precip 220.04 55.01 4 22.427 7.1306 0.0007342 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 3.05 1.5 24.9 -0.047 6.15
## EA 5.15 1.5 24.9 2.053 8.25
## NP 6.30 1.5 24.9 3.203 9.40
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 14.97 1.5 24.9 11.878 18.07
## EA 12.25 1.5 24.9 9.153 15.35
## NP 8.50 1.5 24.9 5.403 11.60
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 20.65 1.5 24.9 17.553 23.75
## EA 15.57 1.5 24.9 12.478 18.67
## NP 23.98 1.5 24.9 20.878 27.07
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 6.30 1.5 24.9 3.203 9.40 a
## EA 5.15 1.5 24.9 2.053 8.25 a
## AG 3.05 1.5 24.9 -0.047 6.15 a
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 14.97 1.5 24.9 11.878 18.07 a
## EA 12.25 1.5 24.9 9.153 15.35 ab
## NP 8.50 1.5 24.9 5.403 11.60 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 23.98 1.5 24.9 20.878 27.07 a
## AG 20.65 1.5 24.9 17.553 23.75 a
## EA 15.57 1.5 24.9 12.478 18.67 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 NP 472 6.300 1.503405 24.89952 3.20304588 9.396954 a
## 2 EA 472 5.150 1.503405 24.89952 2.05304588 8.246954 a
## 3 AG 472 3.050 1.503405 24.89952 -0.04695412 6.146954 a
## 6 AG 579 14.975 1.503405 24.89952 11.87804588 18.071954 a
## 5 EA 579 12.250 1.503405 24.89952 9.15304588 15.346954 ab
## 4 NP 579 8.500 1.503405 24.89952 5.40304588 11.596954 b
## 8 NP 850 23.975 1.503405 24.89952 20.87804588 27.071954 a
## 7 AG 850 20.650 1.503405 24.89952 17.55304588 23.746954 a
## 9 EA 850 15.575 1.503405 24.89952 12.47804588 18.671954 b## precip landuse lsmean SE df lower.CL upper.CL .group
## 1 472 AG 3.050 1.503405 24.89952 -0.04695412 6.146954 a
## 2 472 EA 5.150 1.503405 24.89952 2.05304588 8.246954 a
## 3 472 NP 6.300 1.503405 24.89952 3.20304588 9.396954 a
## 4 579 AG 14.975 1.503405 24.89952 11.87804588 18.071954 a
## 5 579 EA 12.250 1.503405 24.89952 9.15304588 15.346954 ab
## 6 579 NP 8.500 1.503405 24.89952 5.40304588 11.596954 b
## 7 850 AG 20.650 1.503405 24.89952 17.55304588 23.746954 a
## 8 850 EA 15.575 1.503405 24.89952 12.47804588 18.671954 b
## 9 850 NP 23.975 1.503405 24.89952 20.87804588 27.071954 a
## location n mean sd se
## 1 Tribune 4 3.050 1.2124356 0.6062178
## 2 Tribune 4 5.150 1.1030261 0.5515131
## 3 Tribune 4 6.300 0.9201449 0.4600725
## 4 Hays 4 14.975 2.5539186 1.2769593
## 5 Hays 4 12.250 2.2173558 1.1086779
## 6 Hays 4 8.500 0.5773503 0.2886751
## 7 Manhattan 4 20.650 5.7749459 2.8874729
## 8 Manhattan 4 15.575 0.8381527 0.4190764
## 9 Manhattan 4 23.975 5.7598466 2.8799233
3.9.2 5-10 cm L*P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 767.56 383.78 2 30 5.8723 0.0070437 **
## precip 2029.74 2029.74 1 30 31.0575 4.624e-06 ***
## landuse:precip 1238.34 619.17 2 30 9.4741 0.0006468 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 721.38 360.69 2 27 6.0314 0.0068328 **
## precip 2068.41 1034.21 2 27 17.2938 1.463e-05 ***
## landuse:precip 1545.63 386.41 4 27 6.4614 0.0008785 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 3.92 3.87 27 -4.009 11.9
## EA 6.17 3.87 27 -1.759 14.1
## NP 7.62 3.87 27 -0.309 15.6
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 13.95 3.87 27 6.016 21.9
## EA 15.25 3.87 27 7.316 23.2
## NP 11.00 3.87 27 3.066 18.9
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 11.82 3.87 27 3.891 19.8
## EA 18.10 3.87 27 10.166 26.0
## NP 43.17 3.87 27 35.241 51.1
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 7.62 3.87 27 -0.309 15.6 a
## EA 6.17 3.87 27 -1.759 14.1 a
## AG 3.92 3.87 27 -4.009 11.9 a
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 15.25 3.87 27 7.316 23.2 a
## AG 13.95 3.87 27 6.016 21.9 a
## NP 11.00 3.87 27 3.066 18.9 a
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 43.17 3.87 27 35.241 51.1 a
## EA 18.10 3.87 27 10.166 26.0 b
## AG 11.82 3.87 27 3.891 19.8 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 NP 472 7.625 3.866592 27 -0.3085911 15.55859 a
## 2 EA 472 6.175 3.866592 27 -1.7585911 14.10859 a
## 3 AG 472 3.925 3.866592 27 -4.0085911 11.85859 a
## 6 EA 579 15.250 3.866592 27 7.3164089 23.18359 a
## 4 AG 579 13.950 3.866592 27 6.0164089 21.88359 a
## 5 NP 579 11.000 3.866592 27 3.0664089 18.93359 a
## 7 NP 850 43.175 3.866592 27 35.2414089 51.10859 a
## 8 EA 850 18.100 3.866592 27 10.1664089 26.03359 b
## 9 AG 850 11.825 3.866592 27 3.8914089 19.75859 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 3.925 3.866592 27 -4.0085911 11.85859 a Tribune 4
## 2 472 EA 6.175 3.866592 27 -1.7585911 14.10859 a Tribune 4
## 3 472 NP 7.625 3.866592 27 -0.3085911 15.55859 a Tribune 4
## 4 579 AG 13.950 3.866592 27 6.0164089 21.88359 a Hays 4
## 5 579 EA 15.250 3.866592 27 7.3164089 23.18359 a Hays 4
## 6 579 NP 11.000 3.866592 27 3.0664089 18.93359 a Hays 4
## 7 850 AG 11.825 3.866592 27 3.8914089 19.75859 b Manhattan 4
## 8 850 EA 18.100 3.866592 27 10.1664089 26.03359 b Manhattan 4
## 9 850 NP 43.175 3.866592 27 35.2414089 51.10859 a Manhattan 4
## mean sd se
## 1 3.925 2.2035955 1.1017978
## 2 6.175 3.1255666 1.5627833
## 3 7.625 4.2405778 2.1202889
## 4 13.950 0.9327379 0.4663690
## 5 15.250 1.8929694 0.9464847
## 6 11.000 2.9439203 1.4719601
## 7 11.825 0.8883505 0.4441753
## 8 18.100 0.9345231 0.4672615
## 9 43.175 22.1546647 11.0773323
3.9.3 10-15 cm L*P
subset out na value greater than 170 mg/kg
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 2874.8 1437.4 2 29 5.8240 0.0074768 **
## precip 3987.5 3987.5 1 29 16.1562 0.0003794 ***
## landuse:precip 3894.5 1947.3 2 29 7.8898 0.0018370 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 1246.2 623.08 2 26 2.5108 0.100694
## precip 4073.6 2036.80 2 26 8.2078 0.001725 **
## landuse:precip 4596.1 1149.01 4 26 4.6302 0.005889 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 9.93 7.88 26 -6.27 26.1
## EA 4.42 7.88 26 -11.77 20.6
## NP 5.55 7.88 26 -10.64 21.7
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 16.80 7.88 26 0.61 33.0
## EA 16.75 7.88 26 0.56 32.9
## NP 8.75 7.88 26 -7.44 24.9
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 13.30 7.88 26 -2.89 29.5
## EA 19.95 7.88 26 3.76 36.1
## NP 65.07 9.32 26 45.90 84.2
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 9.93 7.88 26 -6.27 26.1 a
## NP 5.55 7.88 26 -10.64 21.7 a
## EA 4.42 7.88 26 -11.77 20.6 a
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 16.80 7.88 26 0.61 33.0 a
## EA 16.75 7.88 26 0.56 32.9 a
## NP 8.75 7.88 26 -7.44 24.9 a
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 65.07 9.32 26 45.90 84.2 a
## EA 19.95 7.88 26 3.76 36.1 b
## AG 13.30 7.88 26 -2.89 29.5 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 2 AG 472 9.92500 7.876463 26 -6.2653016 26.1153 a
## 3 NP 472 5.55000 7.876463 26 -10.6403016 21.7403 a
## 1 EA 472 4.42500 7.876463 26 -11.7653016 20.6153 a
## 6 AG 579 16.80000 7.876463 26 0.6096984 32.9903 a
## 5 EA 579 16.75000 7.876463 26 0.5596984 32.9403 a
## 4 NP 579 8.75000 7.876463 26 -7.4403016 24.9403 a
## 7 NP 850 65.06667 9.324084 26 45.9007373 84.2326 a
## 8 EA 850 19.95000 7.876463 26 3.7596984 36.1403 b
## 9 AG 850 13.30000 7.876463 26 -2.8903016 29.4903 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 9.92500 7.876463 26 -6.2653016 26.1153 a Tribune 4
## 2 472 EA 4.42500 7.876463 26 -11.7653016 20.6153 a Tribune 4
## 3 472 NP 5.55000 7.876463 26 -10.6403016 21.7403 a Tribune 4
## 4 579 AG 16.80000 7.876463 26 0.6096984 32.9903 a Hays 4
## 5 579 EA 16.75000 7.876463 26 0.5596984 32.9403 a Hays 4
## 6 579 NP 8.75000 7.876463 26 -7.4403016 24.9403 a Hays 4
## 7 850 AG 13.30000 7.876463 26 -2.8903016 29.4903 b Manhattan 4
## 8 850 EA 19.95000 7.876463 26 3.7596984 36.1403 b Manhattan 4
## 9 850 NP 65.06667 9.324084 26 45.9007373 84.2326 a Manhattan 3
## mean sd se
## 1 9.92500 5.5017421 2.7508711
## 2 4.42500 0.9979145 0.4989572
## 3 5.55000 1.9824228 0.9912114
## 4 16.80000 1.9200694 0.9600347
## 5 16.75000 7.4105780 3.7052890
## 6 8.75000 0.5000000 0.2500000
## 7 13.30000 2.6419690 1.3209845
## 8 19.95000 1.1676187 0.5838093
## 9 65.06667 55.4294446 32.0022048
3.10 Extractable P Content (mg/kg)
3.10.1 0-5 cm L
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 4022.1 2011.03 2 22.361 3.7651 0.03897 *
## precip 52.3 52.28 1 24.712 0.0979 0.75702
## landuse:precip 2820.6 1410.30 2 22.361 2.6404 0.09345 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## landuse lsmean SE df lower.CL upper.CL
## AG 99.2 19.6 8.17 54.27 144.1
## EA 106.0 19.6 8.17 61.02 150.9
## NP 51.3 19.6 8.17 6.33 96.2
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse lsmean SE df lower.CL upper.CL .group
## EA 106.0 19.6 8.17 61.02 150.9 a
## AG 99.2 19.6 8.17 54.27 144.1 a
## NP 51.3 19.6 8.17 6.33 96.2 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse lsmean SE df lower.CL upper.CL .group
## 3 EA 105.95222 19.55521 8.165458 61.016375 150.88807 a
## 1 AG 99.21056 19.55521 8.165458 54.274708 144.14640 a
## 2 NP 51.26889 19.55521 8.165458 6.333041 96.20474 b
3.10.2 5-10 cm P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 7677 3838 2 30 2.6693 0.08572 .
## precip 33278 33278 1 30 23.1426 3.975e-05 ***
## landuse:precip 6154 3077 2 30 2.1399 0.13528
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 15284 7641.9 2 27 34.241 3.931e-08 ***
## precip 62416 31208.2 2 27 139.834 5.667e-15 ***
## landuse:precip 14130 3532.4 4 27 15.828 8.723e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip lsmean SE df lower.CL upper.CL
## 472 115.6 4.31 24.8 106.7 124.5
## 579 28.2 4.31 14.8 19.0 37.4
## 850 26.5 4.31 14.8 17.3 35.7
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 472 115.6 4.31 24.8 106.7 124.5 a
## 579 28.2 4.31 14.8 19.0 37.4 b
## 850 26.5 4.31 14.8 17.3 35.7 b
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 3 472 115.63333 4.312573 24.75 106.74687 124.51980 a
## 2 579 28.17500 4.312573 14.85 18.97487 37.37513 b
## 1 850 26.45833 4.312573 14.85 17.25821 35.65846 b
3.10.3 10-15 cm L*P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 3435.1 1717.57 2 22.127 4.8386 0.018064 *
## precip 60.7 60.66 1 25.600 0.1709 0.682762
## landuse:precip 4844.3 2422.15 2 22.127 6.8234 0.004917 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 5499.4 2749.7 2 19.3987 8.2129 0.0026063 **
## precip 17013.2 8506.6 2 7.2177 25.4077 0.0005407 ***
## landuse:precip 6094.0 1523.5 4 19.3987 4.5505 0.0092835 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 84.58 9.9 24.9 64.19 105.0
## EA 86.17 9.9 24.9 65.79 106.6
## NP 61.77 9.9 24.9 41.39 82.2
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 12.35 9.9 24.9 -8.03 32.7
## EA 26.85 9.9 24.9 6.47 47.2
## NP 3.75 9.9 24.9 -16.63 24.1
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 61.35 9.9 24.9 40.97 81.7
## EA 4.42 9.9 24.9 -15.96 24.8
## NP 2.08 9.9 24.9 -18.31 22.5
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 86.17 9.9 24.9 65.79 106.6 a
## AG 84.58 9.9 24.9 64.19 105.0 a
## NP 61.77 9.9 24.9 41.39 82.2 a
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 26.85 9.9 24.9 6.47 47.2 a
## AG 12.35 9.9 24.9 -8.03 32.7 a
## NP 3.75 9.9 24.9 -16.63 24.1 a
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 61.35 9.9 24.9 40.97 81.7 a
## EA 4.42 9.9 24.9 -15.96 24.8 b
## NP 2.08 9.9 24.9 -18.31 22.5 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 3 EA 472 86.175 9.89593 24.93543 65.791274 106.55873 a
## 1 AG 472 84.575 9.89593 24.93543 64.191274 104.95873 a
## 2 NP 472 61.775 9.89593 24.93543 41.391274 82.15873 a
## 6 EA 579 26.850 9.89593 24.93543 6.466274 47.23373 a
## 4 AG 579 12.350 9.89593 24.93543 -8.033726 32.73373 a
## 5 NP 579 3.750 9.89593 24.93543 -16.633726 24.13373 a
## 9 AG 850 61.350 9.89593 24.93543 40.966274 81.73373 a
## 8 EA 850 4.425 9.89593 24.93543 -15.958726 24.80873 b
## 7 NP 850 2.075 9.89593 24.93543 -18.308726 22.45873 b## precip landuse lsmean SE df lower.CL upper.CL .group location
## 1 472 AG 84.575 9.89593 24.93543 64.191274 104.95873 a Tribune
## 2 472 EA 86.175 9.89593 24.93543 65.791274 106.55873 a Tribune
## 3 472 NP 61.775 9.89593 24.93543 41.391274 82.15873 a Tribune
## 4 579 AG 12.350 9.89593 24.93543 -8.033726 32.73373 a Hays
## 5 579 EA 26.850 9.89593 24.93543 6.466274 47.23373 a Hays
## 6 579 NP 3.750 9.89593 24.93543 -16.633726 24.13373 a Hays
## 7 850 AG 61.350 9.89593 24.93543 40.966274 81.73373 a Manhattan
## 8 850 EA 4.425 9.89593 24.93543 -15.958726 24.80873 b Manhattan
## 9 850 NP 2.075 9.89593 24.93543 -18.308726 22.45873 b Manhattan
## n mean sd se
## 1 4 84.575 26.7666926 13.38334631
## 2 4 86.175 24.3420589 12.17102947
## 3 4 61.775 15.7167374 7.85836868
## 4 4 12.350 8.5574529 4.27872645
## 5 4 26.850 17.0187152 8.50935759
## 6 4 3.750 1.5800844 0.79004219
## 7 4 61.350 39.4744221 19.73721105
## 8 4 4.425 0.7088723 0.35443617
## 9 4 2.075 0.1707825 0.08539126
3.11 Extractable K Content (mg/kg)
3.11.1 0-5 cm L*P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 243718 121859 2 20.875 11.264 0.0004809 ***
## precip 543302 543302 1 28.478 50.218 9.439e-08 ***
## landuse:precip 235695 117847 2 20.875 10.893 0.0005756 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 34783 17392 2 27 1.8390 0.1783388
## precip 2056627 1028313 2 27 108.7343 1.209e-13 ***
## landuse:precip 289676 72419 4 27 7.6576 0.0002932 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 1005 48.6 27 905 1105
## EA 1092 48.6 27 992 1192
## NP 827 48.6 27 728 927
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 565 48.6 27 465 665
## EA 706 48.6 27 606 806
## NP 614 48.6 27 514 713
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 506 48.6 27 406 605
## EA 249 48.6 27 149 348
## NP 424 48.6 27 324 524
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 1092 48.6 27 992 1192 a
## AG 1005 48.6 27 905 1105 a
## NP 827 48.6 27 728 927 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 706 48.6 27 606 806 a
## NP 614 48.6 27 514 713 a
## AG 565 48.6 27 465 665 a
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 506 48.6 27 406 605 a
## NP 424 48.6 27 324 524 a
## EA 249 48.6 27 149 348 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 3 EA 472 1092.025 48.62387 27 992.2571 1191.7929 a
## 1 AG 472 1004.825 48.62387 27 905.0571 1104.5929 a
## 2 NP 472 827.400 48.62387 27 727.6321 927.1679 b
## 4 EA 579 706.000 48.62387 27 606.2321 805.7679 a
## 6 NP 579 613.500 48.62387 27 513.7321 713.2679 a
## 5 AG 579 565.175 48.62387 27 465.4071 664.9429 a
## 8 AG 850 505.700 48.62387 27 405.9321 605.4679 a
## 9 NP 850 424.075 48.62387 27 324.3071 523.8429 a
## 7 EA 850 248.650 48.62387 27 148.8821 348.4179 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 1004.825 48.62387 27 905.0571 1104.5929 a Tribune 4
## 2 472 EA 1092.025 48.62387 27 992.2571 1191.7929 a Tribune 4
## 3 472 NP 827.400 48.62387 27 727.6321 927.1679 b Tribune 4
## 4 579 AG 565.175 48.62387 27 465.4071 664.9429 a Hays 4
## 5 579 EA 706.000 48.62387 27 606.2321 805.7679 a Hays 4
## 6 579 NP 613.500 48.62387 27 513.7321 713.2679 a Hays 4
## 7 850 AG 505.700 48.62387 27 405.9321 605.4679 a Manhattan 4
## 8 850 EA 248.650 48.62387 27 148.8821 348.4179 b Manhattan 4
## 9 850 NP 424.075 48.62387 27 324.3071 523.8429 a Manhattan 4
## mean sd se
## 1 1004.825 47.99468 23.99734
## 2 1092.025 152.70687 76.35344
## 3 827.400 122.95197 61.47598
## 4 565.175 36.14115 18.07057
## 5 706.000 99.23709 49.61854
## 6 613.500 44.59073 22.29537
## 7 505.700 140.07153 70.03576
## 8 248.650 6.40026 3.20013
## 9 424.075 107.56639 53.78320
3.11.2 5-10 cm P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 52814 26407 2 21.421 2.8658 0.07891 .
## precip 1169188 1169188 1 29.981 126.8859 2.687e-12 ***
## landuse:precip 49780 24890 2 20.649 2.7012 0.09077 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 32762 16381 2 15.7489 5.4118 0.0162582 *
## precip 629971 314985 2 8.8449 104.0603 7.147e-07 ***
## landuse:precip 120576 30144 4 14.4615 9.9585 0.0004418 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip lsmean SE df lower.CL upper.CL
## 472 819 38.2 7.14 729 909
## 579 558 49.2 6.10 438 678
## 850 292 49.2 6.10 172 412
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 472 819 38.2 7.14 729 909 a
## 579 558 49.2 6.10 438 678 b
## 850 292 49.2 6.10 172 412 c
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 3 472 818.9583 38.17651 7.143407 729.0513 908.8653 a
## 2 579 558.2333 49.20981 6.101908 438.3071 678.1596 b
## 1 850 291.6917 49.20981 6.101908 171.7654 411.6179 c
3.11.3 10-15 cm P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 37264 18632 2 19.520 2.7769 0.08683 .
## precip 1217054 1217054 1 18.019 181.3872 7.596e-11 ***
## landuse:precip 31742 15871 2 19.520 2.3654 0.12027
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 53430 26715 2 18.193 4.8484 0.02052 *
## precip 1071859 535929 2 6.321 97.2625 1.789e-05 ***
## landuse:precip 65962 16490 4 18.193 2.9927 0.04637 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip lsmean SE df lower.CL upper.CL
## 472 706 23.9 10.9 653 758
## 579 543 23.9 10.9 490 596
## 850 253 23.9 10.9 201 306
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 472 706 23.9 10.9 653 758 a
## 579 543 23.9 10.9 490 596 b
## 850 253 23.9 10.9 201 306 c
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 3 472 705.5083 23.92297 10.86171 652.7723 758.2443 a
## 2 579 542.7833 23.92297 10.86171 490.0473 595.5193 b
## 1 850 253.3417 23.92297 10.86171 200.6057 306.0777 c
3.12 Extractable Zn Content (mg/kg)
dont have any significances - didnt do any graphs
3.12.1 0-5 cm
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 6.5639 3.2820 2 23.060 1.8274 0.1834
## precip 3.9597 3.9597 1 25.815 2.2048 0.1497
## landuse:precip 2.1397 1.0698 2 23.060 0.5957 0.55943.12.2 5-10 cm
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.73378 0.36689 2 26.774 1.2090 0.3143
## precip 0.66870 0.66870 1 29.985 2.2034 0.1481
## landuse:precip 0.73000 0.36500 2 26.336 1.2027 0.31633.12.3 10-15 cm
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.36864 0.184322 2 20.070 2.6635 0.09420 .
## precip 0.07967 0.079669 1 21.808 1.1513 0.29502
## landuse:precip 0.40302 0.201509 2 20.070 2.9119 0.07756 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 13.13 Extractable Fe Content (mg/kg)
3.13.1 0-5 cm L*P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 2419.8 1209.92 2 30 9.0976 0.0008162 ***
## precip 0.3 0.27 1 30 0.0020 0.9645424
## landuse:precip 4399.9 2199.96 2 30 16.5418 1.439e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 4841.8 2420.9 2 27 16.6676 1.931e-05 ***
## precip 53.0 26.5 2 27 0.1824 0.8342736
## landuse:precip 4415.3 1103.8 4 27 7.5997 0.0003086 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 49.8 6.03 27 37.461 62.2
## EA 55.3 6.03 27 42.961 67.7
## NP 42.7 6.03 27 30.336 55.1
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 35.5 6.03 27 23.161 47.9
## EA 55.5 6.03 27 43.136 67.9
## NP 48.1 6.03 27 35.736 60.5
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 11.7 6.03 27 -0.664 24.1
## EA 69.4 6.03 27 57.011 81.7
## NP 64.0 6.03 27 51.636 76.4
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 55.3 6.03 27 42.961 67.7 a
## AG 49.8 6.03 27 37.461 62.2 a
## NP 42.7 6.03 27 30.336 55.1 a
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 55.5 6.03 27 43.136 67.9 a
## NP 48.1 6.03 27 35.736 60.5 ab
## AG 35.5 6.03 27 23.161 47.9 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 69.4 6.03 27 57.011 81.7 a
## NP 64.0 6.03 27 51.636 76.4 a
## AG 11.7 6.03 27 -0.664 24.1 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 3 EA 472 55.325 6.025924 27 42.9608254 67.68917 a
## 1 AG 472 49.825 6.025924 27 37.4608254 62.18917 a
## 2 NP 472 42.700 6.025924 27 30.3358254 55.06417 a
## 4 EA 579 55.500 6.025924 27 43.1358254 67.86417 a
## 6 NP 579 48.100 6.025924 27 35.7358254 60.46417 ab
## 5 AG 579 35.525 6.025924 27 23.1608254 47.88917 b
## 7 EA 850 69.375 6.025924 27 57.0108254 81.73917 a
## 9 NP 850 64.000 6.025924 27 51.6358254 76.36417 a
## 8 AG 850 11.700 6.025924 27 -0.6641746 24.06417 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 49.825 6.025924 27 37.4608254 62.18917 a Tribune 4
## 2 472 EA 55.325 6.025924 27 42.9608254 67.68917 a Tribune 4
## 3 472 NP 42.700 6.025924 27 30.3358254 55.06417 a Tribune 4
## 4 579 AG 35.525 6.025924 27 23.1608254 47.88917 b Hays 4
## 5 579 EA 55.500 6.025924 27 43.1358254 67.86417 a Hays 4
## 6 579 NP 48.100 6.025924 27 35.7358254 60.46417 ab Hays 4
## 7 850 AG 11.700 6.025924 27 -0.6641746 24.06417 b Manhattan 4
## 8 850 EA 69.375 6.025924 27 57.0108254 81.73917 a Manhattan 4
## 9 850 NP 64.000 6.025924 27 51.6358254 76.36417 a Manhattan 4
## mean sd se
## 1 49.825 15.9990364 7.9995182
## 2 55.325 18.7997119 9.3998559
## 3 42.700 7.6284555 3.8142278
## 4 35.525 2.4904819 1.2452409
## 5 55.500 15.2750341 7.6375170
## 6 48.100 8.3454578 4.1727289
## 7 11.700 0.8906926 0.4453463
## 8 69.375 5.1519414 2.5759707
## 9 64.000 17.4103418 8.7051709
3.13.2 5-10 cm L*P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 6504.4 3252.2 2 24.791 19.432 8.386e-06 ***
## precip 2731.7 2731.7 1 29.957 16.322 0.0003427 ***
## landuse:precip 9592.0 4796.0 2 24.225 28.656 4.126e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 3358.8 1679.4 2 23.559 10.2025 0.0006433 ***
## precip 3249.6 1624.8 2 17.795 9.8709 0.0013055 **
## landuse:precip 9292.7 2323.2 4 22.012 14.1134 7.495e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 47.7 6.95 24.4 33.38 62.1
## EA 42.1 6.95 24.4 27.76 56.4
## NP 31.0 6.95 24.4 16.63 45.3
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 31.8 6.95 24.4 17.48 46.2
## EA 35.8 6.95 24.4 21.41 50.1
## NP 39.1 6.95 24.4 24.76 53.4
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 11.8 6.95 24.4 -2.59 26.1
## EA 79.8 6.95 24.4 65.43 94.1
## NP 82.2 6.95 24.4 67.83 96.5
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 47.7 6.95 24.4 33.38 62.1 a
## EA 42.1 6.95 24.4 27.76 56.4 a
## NP 31.0 6.95 24.4 16.63 45.3 a
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 39.1 6.95 24.4 24.76 53.4 a
## EA 35.8 6.95 24.4 21.41 50.1 a
## AG 31.8 6.95 24.4 17.48 46.2 a
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 82.2 6.95 24.4 67.83 96.5 a
## EA 79.8 6.95 24.4 65.43 94.1 a
## AG 11.8 6.95 24.4 -2.59 26.1 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 3 AG 472 47.725 6.954584 24.42382 33.384614 62.06539 a
## 2 EA 472 42.100 6.954584 24.42382 27.759614 56.44039 a
## 1 NP 472 30.975 6.954584 24.42382 16.634614 45.31539 a
## 4 NP 579 39.100 6.954584 24.42382 24.759614 53.44039 a
## 5 EA 579 35.750 6.954584 24.42382 21.409614 50.09039 a
## 6 AG 579 31.825 6.954584 24.42382 17.484614 46.16539 a
## 7 NP 850 82.175 6.954584 24.42382 67.834614 96.51539 a
## 8 EA 850 79.775 6.954584 24.42382 65.434614 94.11539 a
## 9 AG 850 11.750 6.954584 24.42382 -2.590386 26.09039 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 47.725 6.954584 24.42382 33.384614 62.06539 a Tribune 4
## 2 472 EA 42.100 6.954584 24.42382 27.759614 56.44039 a Tribune 4
## 3 472 NP 30.975 6.954584 24.42382 16.634614 45.31539 a Tribune 4
## 4 579 AG 31.825 6.954584 24.42382 17.484614 46.16539 a Hays 4
## 5 579 EA 35.750 6.954584 24.42382 21.409614 50.09039 a Hays 4
## 6 579 NP 39.100 6.954584 24.42382 24.759614 53.44039 a Hays 4
## 7 850 AG 11.750 6.954584 24.42382 -2.590386 26.09039 b Manhattan 4
## 8 850 EA 79.775 6.954584 24.42382 65.434614 94.11539 a Manhattan 4
## 9 850 NP 82.175 6.954584 24.42382 67.834614 96.51539 a Manhattan 4
## mean sd se
## 1 47.725 15.1831870 7.5915935
## 2 42.100 21.8546715 10.9273358
## 3 30.975 6.6575146 3.3287573
## 4 31.825 3.4874776 1.7437388
## 5 35.750 12.8375751 6.4187875
## 6 39.100 1.7907168 0.8953584
## 7 11.750 0.3316625 0.1658312
## 8 79.775 4.3614791 2.1807396
## 9 82.175 27.9385486 13.9692743
3.13.3 10-15 cm L*P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 3931.7 1965.8 2 23.996 10.479 0.0005357 ***
## precip 8960.2 8960.2 1 23.997 47.764 3.799e-07 ***
## landuse:precip 5957.0 2978.5 2 23.996 15.877 4.049e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 2495.1 1247.5 2 21.984 7.6293 0.003045 **
## precip 9160.5 4580.2 2 11.360 28.0105 4.059e-05 ***
## landuse:precip 6773.5 1693.4 4 21.984 10.3558 7.180e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 24.2 6.61 26.6 10.67 37.8
## EA 26.2 6.61 26.6 12.62 39.8
## NP 19.1 6.61 26.6 5.57 32.7
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 29.0 6.61 26.6 15.44 42.6
## EA 20.1 6.61 26.6 6.52 33.7
## NP 30.5 6.61 26.6 16.92 44.1
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 21.6 6.61 26.6 7.99 35.2
## EA 75.2 6.61 26.6 61.62 88.8
## NP 82.8 6.61 26.6 69.22 96.4
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 26.2 6.61 26.6 12.62 39.8 a
## AG 24.2 6.61 26.6 10.67 37.8 a
## NP 19.1 6.61 26.6 5.57 32.7 a
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 30.5 6.61 26.6 16.92 44.1 a
## AG 29.0 6.61 26.6 15.44 42.6 a
## EA 20.1 6.61 26.6 6.52 33.7 a
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 82.8 6.61 26.6 69.22 96.4 a
## EA 75.2 6.61 26.6 61.62 88.8 a
## AG 21.6 6.61 26.6 7.99 35.2 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 3 EA 472 26.200 6.613531 26.54873 12.619354 39.78065 a
## 1 AG 472 24.250 6.613531 26.54873 10.669354 37.83065 a
## 2 NP 472 19.150 6.613531 26.54873 5.569354 32.73065 a
## 5 NP 579 30.500 6.613531 26.54873 16.919354 44.08065 a
## 4 AG 579 29.025 6.613531 26.54873 15.444354 42.60565 a
## 6 EA 579 20.100 6.613531 26.54873 6.519354 33.68065 a
## 7 NP 850 82.800 6.613531 26.54873 69.219354 96.38065 a
## 8 EA 850 75.200 6.613531 26.54873 61.619354 88.78065 a
## 9 AG 850 21.575 6.613531 26.54873 7.994354 35.15565 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 24.250 6.613531 26.54873 10.669354 37.83065 a Tribune 4
## 2 472 EA 26.200 6.613531 26.54873 12.619354 39.78065 a Tribune 4
## 3 472 NP 19.150 6.613531 26.54873 5.569354 32.73065 a Tribune 4
## 4 579 AG 29.025 6.613531 26.54873 15.444354 42.60565 a Hays 4
## 5 579 EA 20.100 6.613531 26.54873 6.519354 33.68065 a Hays 4
## 6 579 NP 30.500 6.613531 26.54873 16.919354 44.08065 a Hays 4
## 7 850 AG 21.575 6.613531 26.54873 7.994354 35.15565 b Manhattan 4
## 8 850 EA 75.200 6.613531 26.54873 61.619354 88.78065 a Manhattan 4
## 9 850 NP 82.800 6.613531 26.54873 69.219354 96.38065 a Manhattan 4
## mean sd se
## 1 24.250 13.113987 6.5569937
## 2 26.200 13.769774 6.8848868
## 3 19.150 4.624932 2.3124662
## 4 29.025 5.062526 2.5312629
## 5 20.100 7.365234 3.6826168
## 6 30.500 1.487728 0.7438638
## 7 21.575 13.131229 6.5656143
## 8 75.200 3.262923 1.6314615
## 9 82.800 30.470313 15.2351567
3.14 pH
3.14.1 0-5 cm L*P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 4.9834 2.4917 2 30 24.884 4.259e-07 ***
## precip 11.7672 11.7672 1 30 117.519 6.758e-12 ***
## landuse:precip 5.8123 2.9061 2 30 29.024 9.685e-08 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 2.4267 1.2133 2 27 13.537 8.473e-05 ***
## precip 11.7950 5.8975 2 27 65.799 4.163e-11 ***
## landuse:precip 6.3683 1.5921 4 27 17.763 2.961e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## landuse lsmean SE df lower.CL upper.CL
## AG 6.32 0.0864 24.3 6.14 6.49
## EA 5.75 0.0864 24.3 5.57 5.93
## NP 6.28 0.0864 24.3 6.11 6.46
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse lsmean SE df lower.CL upper.CL .group
## AG 6.32 0.0864 24.3 6.14 6.49 a
## NP 6.28 0.0864 24.3 6.11 6.46 a
## EA 5.75 0.0864 24.3 5.57 5.93 b
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse lsmean SE df lower.CL upper.CL .group
## 2 AG 6.316667 0.08642416 24.3 6.138412 6.494921 a
## 3 NP 6.283333 0.08642416 24.3 6.105079 6.461588 a
## 1 EA 5.750000 0.08642416 24.3 5.571746 5.928254 b
## precip lsmean SE df lower.CL upper.CL
## 472 5.51 0.0864 13.5 5.32 5.69
## 579 5.96 0.0864 13.5 5.77 6.14
## 850 6.88 0.0864 13.5 6.70 7.07
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 850 6.88 0.0864 13.5 6.70 7.07 a
## 579 5.96 0.0864 13.5 5.77 6.14 b
## 472 5.51 0.0864 13.5 5.32 5.69 c
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 1 850 6.883333 0.08642416 13.5 6.697326 7.069341 a
## 2 579 5.958333 0.08642416 13.5 5.772326 6.144341 b
## 3 472 5.508333 0.08642416 13.5 5.322326 5.694341 c
## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 5.30 0.15 27 4.99 5.61
## EA 5.17 0.15 27 4.87 5.48
## NP 6.05 0.15 27 5.74 6.36
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 5.75 0.15 27 5.44 6.06
## EA 5.85 0.15 27 5.54 6.16
## NP 6.28 0.15 27 5.97 6.58
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 7.90 0.15 27 7.59 8.21
## EA 6.22 0.15 27 5.92 6.53
## NP 6.53 0.15 27 6.22 6.83
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 6.05 0.15 27 5.74 6.36 a
## AG 5.30 0.15 27 4.99 5.61 b
## EA 5.17 0.15 27 4.87 5.48 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 6.28 0.15 27 5.97 6.58 a
## EA 5.85 0.15 27 5.54 6.16 ab
## AG 5.75 0.15 27 5.44 6.06 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 7.90 0.15 27 7.59 8.21 a
## NP 6.53 0.15 27 6.22 6.83 b
## EA 6.22 0.15 27 5.92 6.53 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 2 NP 472 6.050 0.149691 27 5.742859 6.357141 a
## 1 AG 472 5.300 0.149691 27 4.992859 5.607141 b
## 3 EA 472 5.175 0.149691 27 4.867859 5.482141 b
## 4 NP 579 6.275 0.149691 27 5.967859 6.582141 a
## 5 EA 579 5.850 0.149691 27 5.542859 6.157141 ab
## 6 AG 579 5.750 0.149691 27 5.442859 6.057141 b
## 8 AG 850 7.900 0.149691 27 7.592859 8.207141 a
## 9 NP 850 6.525 0.149691 27 6.217859 6.832141 b
## 7 EA 850 6.225 0.149691 27 5.917859 6.532141 b## precip landuse lsmean SE df lower.CL upper.CL .group location n mean
## 1 472 AG 5.300 0.149691 27 4.992859 5.607141 b Tribune 4 5.300
## 2 472 EA 5.175 0.149691 27 4.867859 5.482141 b Tribune 4 5.175
## 3 472 NP 6.050 0.149691 27 5.742859 6.357141 a Tribune 4 6.050
## 4 579 AG 5.750 0.149691 27 5.442859 6.057141 b Hays 4 5.750
## 5 579 EA 5.850 0.149691 27 5.542859 6.157141 ab Hays 4 5.850
## 6 579 NP 6.275 0.149691 27 5.967859 6.582141 a Hays 4 6.275
## 7 850 AG 7.900 0.149691 27 7.592859 8.207141 a Manhattan 4 7.900
## 8 850 EA 6.225 0.149691 27 5.917859 6.532141 b Manhattan 4 6.225
## 9 850 NP 6.525 0.149691 27 6.217859 6.832141 b Manhattan 4 6.525
## sd se
## 1 0.53541261 0.26770631
## 2 0.59090326 0.29545163
## 3 0.10000000 0.05000000
## 4 0.05773503 0.02886751
## 5 0.28867513 0.14433757
## 6 0.18929694 0.09464847
## 7 0.08164966 0.04082483
## 8 0.17078251 0.08539126
## 9 0.05000000 0.02500000
3.14.2 5-10 cm L*P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 7.1871 3.5936 2 21.524 24.336 2.985e-06 ***
## precip 2.0640 2.0640 1 29.999 13.977 0.0007789 ***
## landuse:precip 9.1369 4.5684 2 20.759 30.938 5.926e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 1.2084 0.60418 2 20.755 4.7937 0.019430 *
## precip 2.5870 1.29348 2 10.673 10.2627 0.003266 **
## landuse:precip 9.8712 2.46781 4 17.537 19.5801 2.778e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 5.60 0.203 21.5 5.18 6.02
## EA 5.83 0.203 21.5 5.40 6.25
## NP 6.25 0.203 21.5 5.83 6.67
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 5.92 0.203 21.5 5.50 6.35
## EA 6.45 0.203 21.5 6.03 6.87
## NP 6.35 0.203 21.5 5.93 6.77
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 7.92 0.203 21.5 7.50 8.35
## EA 5.78 0.203 21.5 5.35 6.20
## NP 6.25 0.203 21.5 5.83 6.67
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 6.25 0.203 21.5 5.83 6.67 a
## EA 5.83 0.203 21.5 5.40 6.25 ab
## AG 5.60 0.203 21.5 5.18 6.02 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 6.45 0.203 21.5 6.03 6.87 a
## NP 6.35 0.203 21.5 5.93 6.77 ab
## AG 5.92 0.203 21.5 5.50 6.35 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 7.92 0.203 21.5 7.50 8.35 a
## NP 6.25 0.203 21.5 5.83 6.67 b
## EA 5.78 0.203 21.5 5.35 6.20 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 NP 472 6.250 0.2030546 21.51346 5.828338 6.671662 a
## 2 EA 472 5.825 0.2030546 21.51346 5.403338 6.246662 ab
## 3 AG 472 5.600 0.2030546 21.51346 5.178338 6.021662 b
## 4 EA 579 6.450 0.2030546 21.51346 6.028338 6.871662 a
## 6 NP 579 6.350 0.2030546 21.51346 5.928338 6.771662 ab
## 5 AG 579 5.925 0.2030546 21.51346 5.503338 6.346662 b
## 8 AG 850 7.925 0.2030546 21.51346 7.503338 8.346662 a
## 9 NP 850 6.250 0.2030546 21.51346 5.828338 6.671662 b
## 7 EA 850 5.775 0.2030546 21.51346 5.353338 6.196662 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 5.600 0.2030546 21.51346 5.178338 6.021662 b Tribune 4
## 2 472 EA 5.825 0.2030546 21.51346 5.403338 6.246662 ab Tribune 4
## 3 472 NP 6.250 0.2030546 21.51346 5.828338 6.671662 a Tribune 4
## 4 579 AG 5.925 0.2030546 21.51346 5.503338 6.346662 b Hays 4
## 5 579 EA 6.450 0.2030546 21.51346 6.028338 6.871662 a Hays 4
## 6 579 NP 6.350 0.2030546 21.51346 5.928338 6.771662 ab Hays 4
## 7 850 AG 7.925 0.2030546 21.51346 7.503338 8.346662 a Manhattan 4
## 8 850 EA 5.775 0.2030546 21.51346 5.353338 6.196662 b Manhattan 4
## 9 850 NP 6.250 0.2030546 21.51346 5.828338 6.671662 b Manhattan 4
## mean sd se
## 1 5.600 0.67330033 0.33665016
## 2 5.825 0.82613558 0.41306779
## 3 6.250 0.20816660 0.10408330
## 4 5.925 0.09574271 0.04787136
## 5 6.450 0.36968455 0.18484228
## 6 6.350 0.10000000 0.05000000
## 7 7.925 0.05000000 0.02500000
## 8 5.775 0.05000000 0.02500000
## 9 6.250 0.23804761 0.11902381
3.14.3 10-15 cm L*P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 4.1797 2.08987 2 30 7.972 0.001673 **
## precip 0.4226 0.42259 1 30 1.612 0.213972
## landuse:precip 5.2378 2.61891 2 30 9.990 0.000473 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.6350 0.31750 2 17.6191 1.7504 0.2025847
## precip 0.3108 0.15539 2 5.3252 0.8567 0.4758018
## landuse:precip 7.2183 1.80458 4 17.6191 9.9490 0.0002148 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 6.60 0.235 24.1 6.12 7.08
## EA 6.60 0.235 24.1 6.12 7.08
## NP 7.00 0.235 24.1 6.52 7.48
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 6.15 0.235 24.1 5.67 6.63
## EA 6.90 0.235 24.1 6.42 7.38
## NP 6.53 0.235 24.1 6.04 7.01
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 7.42 0.235 24.1 6.94 7.91
## EA 5.70 0.235 24.1 5.22 6.18
## NP 6.20 0.235 24.1 5.72 6.68
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 7.00 0.235 24.1 6.52 7.48 a
## EA 6.60 0.235 24.1 6.12 7.08 a
## AG 6.60 0.235 24.1 6.12 7.08 a
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 6.90 0.235 24.1 6.42 7.38 a
## NP 6.53 0.235 24.1 6.04 7.01 ab
## AG 6.15 0.235 24.1 5.67 6.63 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 7.42 0.235 24.1 6.94 7.91 a
## NP 6.20 0.235 24.1 5.72 6.68 b
## EA 5.70 0.235 24.1 5.22 6.18 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 NP 472 7.000 0.2346744 24.07352 6.515734 7.484266 a
## 2 EA 472 6.600 0.2346744 24.07352 6.115734 7.084266 a
## 3 AG 472 6.600 0.2346744 24.07352 6.115734 7.084266 a
## 4 EA 579 6.900 0.2346744 24.07352 6.415734 7.384266 a
## 6 NP 579 6.525 0.2346744 24.07352 6.040734 7.009266 ab
## 5 AG 579 6.150 0.2346744 24.07352 5.665734 6.634266 b
## 8 AG 850 7.425 0.2346744 24.07352 6.940734 7.909266 a
## 9 NP 850 6.200 0.2346744 24.07352 5.715734 6.684266 b
## 7 EA 850 5.700 0.2346744 24.07352 5.215734 6.184266 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 6.600 0.2346744 24.07352 6.115734 7.084266 a Tribune 4
## 2 472 EA 6.600 0.2346744 24.07352 6.115734 7.084266 a Tribune 4
## 3 472 NP 7.000 0.2346744 24.07352 6.515734 7.484266 a Tribune 4
## 4 579 AG 6.150 0.2346744 24.07352 5.665734 6.634266 b Hays 4
## 5 579 EA 6.900 0.2346744 24.07352 6.415734 7.384266 a Hays 4
## 6 579 NP 6.525 0.2346744 24.07352 6.040734 7.009266 ab Hays 4
## 7 850 AG 7.425 0.2346744 24.07352 6.940734 7.909266 a Manhattan 4
## 8 850 EA 5.700 0.2346744 24.07352 5.215734 6.184266 b Manhattan 4
## 9 850 NP 6.200 0.2346744 24.07352 5.715734 6.684266 b Manhattan 4
## mean sd se
## 1 6.600 0.87559504 0.43779752
## 2 6.600 0.71647284 0.35823642
## 3 7.000 0.34641016 0.17320508
## 4 6.150 0.19148542 0.09574271
## 5 6.900 0.29439203 0.14719601
## 6 6.525 0.15000000 0.07500000
## 7 7.425 0.59090326 0.29545163
## 8 5.700 0.08164966 0.04082483
## 9 6.200 0.14142136 0.07071068
3.15 Water Moisture
3.15.1 0-5 cm L*P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 710.43 355.22 2 19.605 13.056 0.0002487 ***
## precip 1737.68 1737.68 1 29.609 63.866 7.041e-09 ***
## landuse:precip 1125.78 562.89 2 19.605 20.688 1.476e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 1385.5 692.73 2 27 44.306 2.971e-09 ***
## precip 2044.2 1022.11 2 27 65.373 4.477e-11 ***
## landuse:precip 1373.0 343.26 4 27 21.955 3.692e-08 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 7.99 1.98 27 3.94 12.1
## EA 18.48 1.98 27 14.42 22.5
## NP 23.09 1.98 27 19.04 27.2
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 9.90 1.98 27 5.85 14.0
## EA 11.51 1.98 27 7.46 15.6
## NP 13.40 1.98 27 9.35 17.5
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 26.85 1.98 27 22.79 30.9
## EA 14.15 1.98 27 10.09 18.2
## NP 47.42 1.98 27 43.36 51.5
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 23.09 1.98 27 19.04 27.2 a
## EA 18.48 1.98 27 14.42 22.5 a
## AG 7.99 1.98 27 3.94 12.1 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 13.40 1.98 27 9.35 17.5 a
## EA 11.51 1.98 27 7.46 15.6 a
## AG 9.90 1.98 27 5.85 14.0 a
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 47.42 1.98 27 43.36 51.5 a
## AG 26.85 1.98 27 22.79 30.9 b
## EA 14.15 1.98 27 10.09 18.2 c
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 NP 472 23.094419 1.977066 27 19.037815 27.15102 a
## 2 EA 472 18.477766 1.977066 27 14.421162 22.53437 a
## 3 AG 472 7.993733 1.977066 27 3.937129 12.05034 b
## 4 NP 579 13.403599 1.977066 27 9.346995 17.46020 a
## 5 EA 579 11.511773 1.977066 27 7.455169 15.56838 a
## 6 AG 579 9.902225 1.977066 27 5.845620 13.95883 a
## 8 NP 850 47.419133 1.977066 27 43.362528 51.47574 a
## 7 AG 850 26.845140 1.977066 27 22.788536 30.90174 b
## 9 EA 850 14.150962 1.977066 27 10.094358 18.20757 c## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 7.993733 1.977066 27 3.937129 12.05034 b Tribune 4
## 2 472 EA 18.477766 1.977066 27 14.421162 22.53437 a Tribune 4
## 3 472 NP 23.094419 1.977066 27 19.037815 27.15102 a Tribune 4
## 4 579 AG 9.902225 1.977066 27 5.845620 13.95883 a Hays 4
## 5 579 EA 11.511773 1.977066 27 7.455169 15.56838 a Hays 4
## 6 579 NP 13.403599 1.977066 27 9.346995 17.46020 a Hays 4
## 7 850 AG 26.845140 1.977066 27 22.788536 30.90174 b Manhattan 4
## 8 850 EA 14.150962 1.977066 27 10.094358 18.20757 c Manhattan 4
## 9 850 NP 47.419133 1.977066 27 43.362528 51.47574 a Manhattan 4
## mean sd se
## 1 7.993733 1.7974069 0.8987034
## 2 18.477766 8.2368171 4.1184085
## 3 23.094419 5.0089335 2.5044668
## 4 9.902225 3.3189888 1.6594944
## 5 11.511773 2.4226049 1.2113024
## 6 13.403599 0.7334291 0.3667145
## 7 26.845140 1.3762655 0.6881327
## 8 14.150962 3.1859333 1.5929667
## 9 47.419133 3.8838513 1.9419257
3.15.2 5-10 cm L*P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 514.37 257.19 2 30 12.184 0.0001339 ***
## precip 392.79 392.79 1 30 18.608 0.0001602 ***
## landuse:precip 662.01 331.01 2 30 15.681 2.179e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 106.94 53.47 2 27 6.9673 0.003632 **
## precip 677.58 338.79 2 27 44.1462 3.084e-09 ***
## landuse:precip 803.26 200.82 4 27 26.1674 6.022e-09 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 19.8 1.39 27 17.0 22.7
## EA 22.7 1.39 27 19.8 25.5
## NP 20.3 1.39 27 17.5 23.2
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 16.4 1.39 27 13.6 19.3
## EA 19.8 1.39 27 17.0 22.6
## NP 13.4 1.39 27 10.5 16.2
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 24.5 1.39 27 21.7 27.3
## EA 18.6 1.39 27 15.8 21.5
## NP 38.2 1.39 27 35.4 41.1
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 22.7 1.39 27 19.8 25.5 a
## NP 20.3 1.39 27 17.5 23.2 a
## AG 19.8 1.39 27 17.0 22.7 a
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 19.8 1.39 27 17.0 22.6 a
## AG 16.4 1.39 27 13.6 19.3 ab
## NP 13.4 1.39 27 10.5 16.2 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 38.2 1.39 27 35.4 41.1 a
## AG 24.5 1.39 27 21.7 27.3 b
## EA 18.6 1.39 27 15.8 21.5 c
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 EA 472 22.68240 1.385125 27 19.84036 25.52444 a
## 3 NP 472 20.32969 1.385125 27 17.48765 23.17174 a
## 2 AG 472 19.80959 1.385125 27 16.96755 22.65163 a
## 6 EA 579 19.80418 1.385125 27 16.96214 22.64623 a
## 4 AG 579 16.44994 1.385125 27 13.60790 19.29198 ab
## 5 NP 579 13.35845 1.385125 27 10.51641 16.20050 b
## 8 NP 850 38.21451 1.385125 27 35.37247 41.05655 a
## 7 AG 850 24.50495 1.385125 27 21.66290 27.34699 b
## 9 EA 850 18.62572 1.385125 27 15.78368 21.46776 c## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 19.80959 1.385125 27 16.96755 22.65163 a Tribune 4
## 2 472 EA 22.68240 1.385125 27 19.84036 25.52444 a Tribune 4
## 3 472 NP 20.32969 1.385125 27 17.48765 23.17174 a Tribune 4
## 4 579 AG 16.44994 1.385125 27 13.60790 19.29198 ab Hays 4
## 5 579 EA 19.80418 1.385125 27 16.96214 22.64623 a Hays 4
## 6 579 NP 13.35845 1.385125 27 10.51641 16.20050 b Hays 4
## 7 850 AG 24.50495 1.385125 27 21.66290 27.34699 b Manhattan 4
## 8 850 EA 18.62572 1.385125 27 15.78368 21.46776 c Manhattan 4
## 9 850 NP 38.21451 1.385125 27 35.37247 41.05655 a Manhattan 4
## mean sd se
## 1 19.80959 2.9004626 1.4502313
## 2 22.68240 1.8429638 0.9214819
## 3 20.32969 2.0517253 1.0258626
## 4 16.44994 4.0734815 2.0367407
## 5 19.80418 3.8160670 1.9080335
## 6 13.35845 0.9743645 0.4871823
## 7 24.50495 1.2268408 0.6134204
## 8 18.62572 0.7667409 0.3833705
## 9 38.21451 4.3418582 2.1709291
3.15.3 10-15 cm L*P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 11.20 5.598 2 27 0.9336 0.4055
## precip 301.46 150.728 2 27 25.1375 6.837e-07 ***
## landuse:precip 730.36 182.591 4 27 30.4514 1.186e-09 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 11.20 5.598 2 27 0.9336 0.4055
## precip 301.46 150.728 2 27 25.1375 6.837e-07 ***
## landuse:precip 730.36 182.591 4 27 30.4514 1.186e-09 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 24.2 1.22 27 21.6 26.7
## EA 24.1 1.22 27 21.6 26.6
## NP 17.8 1.22 27 15.3 20.3
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 21.1 1.22 27 18.6 23.6
## EA 22.6 1.22 27 20.1 25.1
## NP 13.7 1.22 27 11.2 16.2
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 24.4 1.22 27 21.9 27.0
## EA 19.7 1.22 27 17.1 22.2
## NP 34.4 1.22 27 31.9 36.9
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 24.2 1.22 27 21.6 26.7 a
## EA 24.1 1.22 27 21.6 26.6 a
## NP 17.8 1.22 27 15.3 20.3 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 22.6 1.22 27 20.1 25.1 a
## AG 21.1 1.22 27 18.6 23.6 a
## NP 13.7 1.22 27 11.2 16.2 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 34.4 1.22 27 31.9 36.9 a
## AG 24.4 1.22 27 21.9 27.0 b
## EA 19.7 1.22 27 17.1 22.2 c
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 3 AG 472 24.15175 1.224351 27 21.63959 26.66391 a
## 2 EA 472 24.13344 1.224351 27 21.62127 26.64560 a
## 1 NP 472 17.83541 1.224351 27 15.32325 20.34758 b
## 6 EA 579 22.58671 1.224351 27 20.07455 25.09887 a
## 4 AG 579 21.08764 1.224351 27 18.57548 23.59981 a
## 5 NP 579 13.68315 1.224351 27 11.17098 16.19531 b
## 8 NP 850 34.41712 1.224351 27 31.90496 36.92928 a
## 7 AG 850 24.44505 1.224351 27 21.93288 26.95721 b
## 9 EA 850 19.65619 1.224351 27 17.14402 22.16835 c## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 24.15175 1.224351 27 21.63959 26.66391 a Tribune 4
## 2 472 EA 24.13344 1.224351 27 21.62127 26.64560 a Tribune 4
## 3 472 NP 17.83541 1.224351 27 15.32325 20.34758 b Tribune 4
## 4 579 AG 21.08764 1.224351 27 18.57548 23.59981 a Hays 4
## 5 579 EA 22.58671 1.224351 27 20.07455 25.09887 a Hays 4
## 6 579 NP 13.68315 1.224351 27 11.17098 16.19531 b Hays 4
## 7 850 AG 24.44505 1.224351 27 21.93288 26.95721 b Manhattan 4
## 8 850 EA 19.65619 1.224351 27 17.14402 22.16835 c Manhattan 4
## 9 850 NP 34.41712 1.224351 27 31.90496 36.92928 a Manhattan 4
## mean sd se
## 1 24.15175 2.0646801 1.0323400
## 2 24.13344 1.9776239 0.9888120
## 3 17.83541 2.9350968 1.4675484
## 4 21.08764 4.4107082 2.2053541
## 5 22.58671 3.1364180 1.5682090
## 6 13.68315 0.8911858 0.4455929
## 7 24.44505 2.4779580 1.2389790
## 8 19.65619 0.4398574 0.2199287
## 9 34.41712 0.8701622 0.4350811
4 Physical
4.1 Clay
4.1.1 0-5 cm L*P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 12.9964 6.4982 2 22.847 57.104 1.294e-09 ***
## precip 6.5823 6.5823 1 23.428 57.843 8.948e-08 ***
## landuse:precip 25.8357 12.9179 2 22.847 113.517 1.356e-12 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
## Model failed to converge with max|grad| = 0.67865 (tol = 0.002, component 1)## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, : Model is nearly unidentifiable: very large eigenvalue
## - Rescale variables?## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 32.889 16.444 2 4.87e-17 1.6471e+30 1
## precip 68.837 34.419 2 4.87e-17 3.4473e+30 1
## landuse:precip 28.444 7.111 4 4.87e-17 7.1225e+29 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 22 1.74e-15 24 22 22
## EA 22 1.74e-15 24 22 22
## NP 22 1.74e-15 24 22 22
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 26 1.74e-15 24 26 26
## EA 24 1.74e-15 24 24 24
## NP 26 1.74e-15 24 26 26
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 26 1.74e-15 24 26 26
## EA 24 1.74e-15 24 24 24
## NP 29 1.74e-15 24 29 29
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 22 1.74e-15 24 22 22 a
## EA 22 1.74e-15 24 22 22 a
## AG 22 1.74e-15 24 22 22 a
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 26 1.74e-15 24 26 26 a
## AG 26 1.74e-15 24 26 26 a
## EA 24 1.74e-15 24 24 24 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 29 1.74e-15 24 29 29 a
## AG 26 1.74e-15 24 26 26 b
## EA 24 1.74e-15 24 24 24 c
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 NP 472 22 1.743387e-15 24.01022 22 22 a
## 2 EA 472 22 1.743387e-15 24.01022 22 22 a
## 3 AG 472 22 1.743387e-15 24.01022 22 22 a
## 5 NP 579 26 1.743387e-15 24.01022 26 26 a
## 4 AG 579 26 1.743387e-15 24.01022 26 26 a
## 6 EA 579 24 1.743387e-15 24.01022 24 24 b
## 8 NP 850 29 1.743387e-15 24.01022 29 29 a
## 7 AG 850 26 1.743387e-15 24.01022 26 26 b
## 9 EA 850 24 1.743387e-15 24.01022 24 24 c## precip landuse lsmean SE df lower.CL upper.CL .group
## 1 472 AG 22 1.743387e-15 24.01022 22 22 a
## 2 472 EA 22 1.743387e-15 24.01022 22 22 a
## 3 472 NP 22 1.743387e-15 24.01022 22 22 a
## 4 579 AG 26 1.743387e-15 24.01022 26 26 a
## 5 579 EA 24 1.743387e-15 24.01022 24 24 b
## 6 579 NP 26 1.743387e-15 24.01022 26 26 a
## 7 850 AG 26 1.743387e-15 24.01022 26 26 b
## 8 850 EA 24 1.743387e-15 24.01022 24 24 c
## 9 850 NP 29 1.743387e-15 24.01022 29 29 a
## location n mean sd se
## 1 Tribune 4 22 0 0
## 2 Tribune 4 22 0 0
## 3 Tribune 4 22 0 0
## 4 Hays 4 26 0 0
## 5 Hays 4 24 0 0
## 6 Hays 4 26 0 0
## 7 Manhattan 4 26 0 0
## 8 Manhattan 4 24 0 0
## 9 Manhattan 4 29 0 0
4.1.2 5-10 cm L*P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 12.996 6.498 2 30 5.4125 0.0098387 **
## precip 90.146 90.146 1 30 75.0844 1.151e-09 ***
## landuse:precip 25.836 12.918 2 30 10.7595 0.0003001 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
## Model failed to converge with max|grad| = 4.50873 (tol = 0.002, component 1)## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, : Model is nearly unidentifiable: very large eigenvalue
## - Rescale variables?## Warning: Model failed to converge with 1 negative eigenvalue: -3.3e+10## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 32.889 16.444 2 1.0011e-16 7.9833e+29 1
## precip 123.548 61.774 2 1.0011e-16 2.9990e+30 1
## landuse:precip 28.444 7.111 4 1.0011e-16 3.4522e+29 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 22 2.27e-15 27 22 22
## EA 22 2.27e-15 27 22 22
## NP 22 2.27e-15 27 22 22
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 26 2.27e-15 27 26 26
## EA 24 2.27e-15 27 24 24
## NP 26 2.27e-15 27 26 26
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 26 2.27e-15 27 26 26
## EA 24 2.27e-15 27 24 24
## NP 29 2.27e-15 27 29 29
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 22 2.27e-15 27 22 22 a
## NP 22 2.27e-15 27 22 22 a
## EA 22 2.27e-15 27 22 22 a
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 26 2.27e-15 27 26 26 a
## NP 26 2.27e-15 27 26 26 a
## EA 24 2.27e-15 27 24 24 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 29 2.27e-15 27 29 29 a
## AG 26 2.27e-15 27 26 26 b
## EA 24 2.27e-15 27 24 24 c
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 2 AG 472 22 2.269318e-15 27 22 22 a
## 3 NP 472 22 2.269318e-15 27 22 22 a
## 1 EA 472 22 2.269318e-15 27 22 22 a
## 5 AG 579 26 2.269318e-15 27 26 26 a
## 6 NP 579 26 2.269318e-15 27 26 26 a
## 4 EA 579 24 2.269318e-15 27 24 24 b
## 8 NP 850 29 2.269318e-15 27 29 29 a
## 7 AG 850 26 2.269318e-15 27 26 26 b
## 9 EA 850 24 2.269318e-15 27 24 24 c## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 22 2.269318e-15 27 22 22 a Tribune 4
## 2 472 EA 22 2.269318e-15 27 22 22 a Tribune 4
## 3 472 NP 22 2.269318e-15 27 22 22 a Tribune 4
## 4 579 AG 26 2.269318e-15 27 26 26 a Hays 4
## 5 579 EA 24 2.269318e-15 27 24 24 b Hays 4
## 6 579 NP 26 2.269318e-15 27 26 26 a Hays 4
## 7 850 AG 26 2.269318e-15 27 26 26 b Manhattan 4
## 8 850 EA 24 2.269318e-15 27 24 24 c Manhattan 4
## 9 850 NP 29 2.269318e-15 27 29 29 a Manhattan 4
## mean sd se
## 1 22 0 0
## 2 22 0 0
## 3 22 0 0
## 4 26 0 0
## 5 24 0 0
## 6 26 0 0
## 7 26 0 0
## 8 24 0 0
## 9 29 0 0
4.1.3 10-15 cm L*P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 149.487 74.743 2 30 12.582 0.0001076 ***
## precip 73.753 73.753 1 30 12.416 0.0013871 **
## landuse:precip 172.037 86.019 2 30 14.480 3.966e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
## Model failed to converge with max|grad| = 0.697761 (tol = 0.002, component 1)## Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, : Model is nearly unidentifiable: very large eigenvalue
## - Rescale variables?## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 16.889 8.444 2 1.8773e-16 2.1379e+29 1
## precip 109.447 54.724 2 1.8773e-16 1.3854e+30 1
## landuse:precip 313.778 78.444 4 1.8773e-16 1.9860e+30 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 25 3.15e-15 27 25 25
## EA 25 3.15e-15 27 25 25
## NP 25 3.15e-15 27 25 25
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 26 3.15e-15 27 26 26
## EA 33 3.15e-15 27 33 33
## NP 26 3.15e-15 27 26 26
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 34 3.15e-15 27 34 34
## EA 24 3.15e-15 27 24 24
## NP 29 3.15e-15 27 29 29
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 25 3.15e-15 27 25 25 a
## NP 25 3.15e-15 27 25 25 b
## EA 25 3.15e-15 27 25 25 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 33 3.15e-15 27 33 33 a
## AG 26 3.15e-15 27 26 26 b
## NP 26 3.15e-15 27 26 26 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 34 3.15e-15 27 34 34 a
## NP 29 3.15e-15 27 29 29 b
## EA 24 3.15e-15 27 24 24 c
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 2 AG 472 25 3.145285e-15 26.99965 25 25 a
## 3 NP 472 25 3.145285e-15 26.99965 25 25 b
## 1 EA 472 25 3.145285e-15 26.99965 25 25 b
## 6 EA 579 33 3.145285e-15 26.99965 33 33 a
## 4 AG 579 26 3.145285e-15 26.99965 26 26 b
## 5 NP 579 26 3.145285e-15 26.99965 26 26 b
## 8 AG 850 34 3.145285e-15 26.99965 34 34 a
## 9 NP 850 29 3.145285e-15 26.99965 29 29 b
## 7 EA 850 24 3.145285e-15 26.99965 24 24 c## precip landuse lsmean SE df lower.CL upper.CL .group
## 1 472 AG 25 3.145285e-15 26.99965 25 25 a
## 2 472 EA 25 3.145285e-15 26.99965 25 25 b
## 3 472 NP 25 3.145285e-15 26.99965 25 25 b
## 4 579 AG 26 3.145285e-15 26.99965 26 26 b
## 5 579 EA 33 3.145285e-15 26.99965 33 33 a
## 6 579 NP 26 3.145285e-15 26.99965 26 26 b
## 7 850 AG 34 3.145285e-15 26.99965 34 34 a
## 8 850 EA 24 3.145285e-15 26.99965 24 24 c
## 9 850 NP 29 3.145285e-15 26.99965 29 29 b
## location n mean sd se
## 1 Tribune 4 25 0 0
## 2 Tribune 4 25 0 0
## 3 Tribune 4 25 0 0
## 4 Hays 4 26 0 0
## 5 Hays 4 33 0 0
## 6 Hays 4 26 0 0
## 7 Manhattan 4 34 0 0
## 8 Manhattan 4 24 0 0
## 9 Manhattan 4 29 0 0
4.2 20 minute MWD
4.2.1 0-5 cm
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.63493 0.31746 2 30 2.7254 0.08174 .
## precip 0.00050 0.00050 1 30 0.0043 0.94830
## landuse:precip 0.19307 0.09653 2 30 0.8287 0.44636
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 14.2.2 5-10 cm L*P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 1.06993 0.53496 2 30 8.5670 0.00114 **
## precip 0.01212 0.01212 1 30 0.1940 0.66274
## landuse:precip 0.47723 0.23861 2 30 3.8212 0.03324 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 7.1641 3.5821 2 27 75.8257 8.343e-12 ***
## precip 0.0123 0.0062 2 27 0.1303 0.878362
## landuse:precip 1.0749 0.2687 4 27 5.6882 0.001871 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.773 0.109 27 0.5505 0.996
## EA 0.388 0.109 27 0.1646 0.611
## NP 1.411 0.109 27 1.1882 1.634
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.304 0.109 27 0.0812 0.527
## EA 0.624 0.109 27 0.4010 0.847
## NP 1.698 0.109 27 1.4747 1.921
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.457 0.109 27 0.2344 0.680
## EA 0.840 0.109 27 0.6168 1.063
## NP 1.410 0.109 27 1.1870 1.633
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 1.411 0.109 27 1.1882 1.634 a
## AG 0.773 0.109 27 0.5505 0.996 b
## EA 0.388 0.109 27 0.1646 0.611 c
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 1.698 0.109 27 1.4747 1.921 a
## EA 0.624 0.109 27 0.4010 0.847 b
## AG 0.304 0.109 27 0.0812 0.527 c
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 1.410 0.109 27 1.1870 1.633 a
## EA 0.840 0.109 27 0.6168 1.063 b
## AG 0.457 0.109 27 0.2344 0.680 c
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 2 NP 472 1.4112240 0.1086748 27 1.18824175 1.6342063 a
## 1 AG 472 0.7734435 0.1086748 27 0.55046125 0.9964258 b
## 3 EA 472 0.3875885 0.1086748 27 0.16460625 0.6105708 c
## 4 NP 579 1.6976802 0.1086748 27 1.47469800 1.9206625 a
## 5 EA 579 0.6239333 0.1086748 27 0.40095100 0.8469155 b
## 6 AG 579 0.3041699 0.1086748 27 0.08118765 0.5271522 c
## 7 NP 850 1.4099795 0.1086748 27 1.18699725 1.6329618 a
## 8 EA 850 0.8398155 0.1086748 27 0.61683328 1.0627978 b
## 9 AG 850 0.4574060 0.1086748 27 0.23442375 0.6803883 c## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 0.7734435 0.1086748 27 0.55046125 0.9964258 b Tribune 4
## 2 472 EA 0.3875885 0.1086748 27 0.16460625 0.6105708 c Tribune 4
## 3 472 NP 1.4112240 0.1086748 27 1.18824175 1.6342063 a Tribune 4
## 4 579 AG 0.3041699 0.1086748 27 0.08118765 0.5271522 c Hays 4
## 5 579 EA 0.6239333 0.1086748 27 0.40095100 0.8469155 b Hays 4
## 6 579 NP 1.6976802 0.1086748 27 1.47469800 1.9206625 a Hays 4
## 7 850 AG 0.4574060 0.1086748 27 0.23442375 0.6803883 c Manhattan 4
## 8 850 EA 0.8398155 0.1086748 27 0.61683328 1.0627978 b Manhattan 4
## 9 850 NP 1.4099795 0.1086748 27 1.18699725 1.6329618 a Manhattan 4
## mean sd se
## 1 0.7734435 0.15203106 0.07601553
## 2 0.3875885 0.09147002 0.04573501
## 3 1.4112240 0.37807704 0.18903852
## 4 0.3041699 0.10287669 0.05143835
## 5 0.6239332 0.18072791 0.09036396
## 6 1.6976803 0.22586526 0.11293263
## 7 0.4574060 0.12146353 0.06073177
## 8 0.8398155 0.23540812 0.11770406
## 9 1.4099795 0.29379150 0.14689575
4.2.3 10-15 cm L
made a new 15 cm dataframe for na.omit
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.65137 0.32569 2 30 6.8321 0.003589 **
## precip 0.00811 0.00811 1 30 0.1702 0.682870
## landuse:precip 0.12831 0.06416 2 30 1.3458 0.275587
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.65137 0.32569 2 30 6.8321 0.003589 **
## precip 0.00811 0.00811 1 30 0.1702 0.682870
## landuse:precip 0.12831 0.06416 2 30 1.3458 0.275587
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## landuse lsmean SE df lower.CL upper.CL
## AG 0.609 0.0634 26.5 0.479 0.739
## EA 0.479 0.0634 26.5 0.349 0.609
## NP 1.643 0.0634 26.5 1.513 1.773
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse lsmean SE df lower.CL upper.CL .group
## NP 1.643 0.0634 26.5 1.513 1.773 a
## AG 0.609 0.0634 26.5 0.479 0.739 b
## EA 0.479 0.0634 26.5 0.349 0.609 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse lsmean SE df lower.CL upper.CL .group
## 2 NP 1.6428264 0.06339333 26.46771 1.5126315 1.7730213 a
## 1 AG 0.6090345 0.06339333 26.46771 0.4788397 0.7392294 b
## 3 EA 0.4787961 0.06339333 26.46771 0.3486012 0.6089910 b
4.3 20 minute 8-2 mm
4.3.1 0-5 cm
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 257.872 128.936 2 30 2.5984 0.09105 .
## precip 16.078 16.078 1 30 0.3240 0.57344
## landuse:precip 67.492 33.746 2 30 0.6801 0.51422
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 14.3.2 5-10 cm L
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 355.82 177.909 2 30 7.7613 0.001921 **
## precip 0.09 0.085 1 30 0.0037 0.951753
## landuse:precip 103.18 51.589 2 30 2.2506 0.122835
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 2616.00 1308.00 2 27 75.5924 8.643e-12 ***
## precip 12.68 6.34 2 27 0.3665 0.696579
## landuse:precip 311.07 77.77 4 27 4.4944 0.006514 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## landuse lsmean SE df lower.CL upper.CL
## AG 3.84 1.2 14.8 1.28 6.41
## EA 4.94 1.2 24.8 2.46 7.41
## NP 22.45 1.2 24.8 19.97 24.92
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse lsmean SE df lower.CL upper.CL .group
## NP 22.45 1.2 24.8 19.97 24.92 a
## EA 4.94 1.2 24.8 2.46 7.41 b
## AG 3.84 1.2 14.8 1.28 6.41 b
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse lsmean SE df lower.CL upper.CL .group
## 1 NP 22.449124 1.200809 24.75 19.974744 24.923503 a
## 2 EA 4.937868 1.200809 24.75 2.463488 7.412247 b
## 3 AG 3.843798 1.200809 14.85 1.282081 6.405516 b
4.3.3 10-15 cm L
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 227.845 113.922 2 30 7.6604 0.002053 **
## precip 3.956 3.956 1 30 0.2660 0.609815
## landuse:precip 28.670 14.335 2 30 0.9639 0.392888
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 3708.8 1854.41 2 27 128.1703 1.649e-14 ***
## precip 46.3 23.17 2 27 1.6012 0.2202
## landuse:precip 41.8 10.45 4 27 0.7222 0.5844
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## landuse lsmean SE df lower.CL upper.CL
## AG 3.98 1.1 24.3 1.71 6.24
## EA 3.33 1.1 24.3 1.07 5.60
## NP 25.18 1.1 24.3 22.91 27.44
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse lsmean SE df lower.CL upper.CL .group
## NP 25.18 1.1 24.3 22.91 27.44 a
## AG 3.98 1.1 24.3 1.71 6.24 b
## EA 3.33 1.1 24.3 1.07 5.60 b
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse lsmean SE df lower.CL upper.CL .group
## 2 NP 25.178903 1.098041 24.3 22.914137 27.443669 a
## 1 AG 3.976290 1.098041 24.3 1.711523 6.241056 b
## 3 EA 3.333061 1.098041 24.3 1.068294 5.597827 b
4.4 20 minute 2-0.25 mm
4.4.1 0-5 cm P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 9.76 4.88 2 22.594 0.2018 0.8187147
## precip 369.81 369.81 1 23.944 15.2915 0.0006628 ***
## landuse:precip 35.25 17.63 2 22.726 0.7288 0.4934064
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 1337.85 668.93 2 19.7420 28.0403 1.703e-06 ***
## precip 363.13 181.57 2 8.5749 7.6110 0.01257 *
## landuse:precip 99.32 24.83 4 19.7287 1.0409 0.41126
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip lsmean SE df lower.CL upper.CL
## 472 18.8 1.68 9.46 15.0 22.5
## 579 20.8 1.68 9.46 17.1 24.6
## 850 27.2 1.76 10.67 23.4 31.1
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 850 27.2 1.76 10.67 23.4 31.1 a
## 579 20.8 1.68 9.46 17.1 24.6 b
## 472 18.8 1.68 9.46 15.0 22.5 b
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 1 850 27.24711 1.757592 10.666904 23.36389 31.13034 a
## 2 579 20.84484 1.680290 9.463517 17.07195 24.61773 b
## 3 472 18.77632 1.680290 9.463517 15.00343 22.54921 b
4.4.2 5-10 cm
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 360.27 180.134 2 27.856 1.4587 0.2498
## precip 69.43 69.427 1 30.000 0.5622 0.4592
## landuse:precip 505.52 252.758 2 27.535 2.0468 0.14834.4.3 10-15 cm
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 221.19 110.594 2 25.052 1.1477 0.3335
## precip 241.96 241.956 1 27.240 2.5109 0.1246
## landuse:precip 103.89 51.946 2 25.052 0.5391 0.58994.5 20 minute 0.053 mm
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 367.52 183.762 2 23.449 2.8888 0.0756 .
## precip 5.75 5.748 1 24.917 0.0904 0.7662
## landuse:precip 77.14 38.571 2 23.449 0.6064 0.5537
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 930.68 465.34 2 27.303 4.8421 0.01586 *
## precip 2.62 2.62 1 29.962 0.0273 0.86988
## landuse:precip 845.25 422.62 2 26.965 4.3976 0.02224 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 316.069 158.034 2 23.931 1.3110 0.2882
## precip 2.318 2.318 1 25.017 0.0192 0.8908
## landuse:precip 285.469 142.735 2 23.931 1.1841 0.32334.6 20 minute 0.02 mm
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 2.6836 1.3418 2 30 0.5539 0.5805
## precip 6.5803 6.5803 1 30 2.7164 0.1098
## landuse:precip 1.9851 0.9926 2 30 0.4097 0.6675## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 14.0129 7.0064 2 30 1.9852 0.1550
## precip 0.2395 0.2395 1 30 0.0679 0.7963
## landuse:precip 2.6187 1.3094 2 30 0.3710 0.6932## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 19.0033 9.5016 2 19.059 1.6749 0.2137
## precip 5.9732 5.9732 1 18.225 1.0529 0.3183
## landuse:precip 3.6821 1.8411 2 19.059 0.3245 0.72684.7 Bulk Density
4.7.1 0-5 cm
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.112061 0.056031 2 23.669 3.2959 0.05461 .
## precip 0.106779 0.106779 1 29.171 6.2811 0.01803 *
## landuse:precip 0.060558 0.030279 2 23.669 1.7811 0.19030
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 14.7.2 5-10 cm P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.037800 0.018900 2 30 0.7264 0.4920
## precip 0.145961 0.145961 1 30 5.6099 0.0245 *
## landuse:precip 0.017941 0.008971 2 30 0.3448 0.7111
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.11373 0.056865 2 27 2.6146 0.09163 .
## precip 0.33462 0.167312 2 27 7.6928 0.00227 **
## landuse:precip 0.02260 0.005651 4 27 0.2598 0.90108
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip lsmean SE df lower.CL upper.CL
## 472 1.11 0.0426 24.8 1.03 1.20
## 579 1.33 0.0426 14.8 1.24 1.42
## 850 1.31 0.0426 14.8 1.22 1.40
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 579 1.33 0.0426 14.8 1.24 1.42 a
## 850 1.31 0.0426 14.8 1.22 1.40 a
## 472 1.11 0.0426 24.8 1.03 1.20 b
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 1 579 1.327946 0.04257268 14.85 1.237124 1.418767 a
## 3 850 1.308993 0.04257268 14.85 1.218172 1.399814 a
## 2 472 1.114610 0.04257268 24.75 1.026885 1.202335 b
4.7.3 10-15 cm
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.030539 0.015269 2 21.597 1.3400 0.2828
## precip 0.018907 0.018907 1 29.346 1.6592 0.2078
## landuse:precip 0.022982 0.011491 2 21.597 1.0084 0.38135 Ratio Graphs
5.1 Total Organic Carbon to Nitrogen
5.1.1 0-5 cm L*P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 9.0334 4.5167 2 30 4.0942 0.0267830 *
## precip 14.8871 14.8871 1 30 13.4945 0.0009287 ***
## landuse:precip 15.1040 7.5520 2 30 6.8455 0.0035558 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 44.964 22.4819 2 27 26.3061 4.573e-07 ***
## precip 16.800 8.3998 2 27 9.8286 0.0006209 ***
## landuse:precip 23.213 5.8032 4 27 6.7903 0.0006442 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 9.78 0.462 27 8.83 10.73
## EA 9.95 0.462 27 9.00 10.90
## NP 11.41 0.462 27 10.46 12.35
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 8.58 0.462 27 7.63 9.53
## EA 10.68 0.462 27 9.73 11.63
## NP 11.54 0.462 27 10.59 12.49
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 11.53 0.462 27 10.58 12.47
## EA 9.57 0.462 27 8.63 10.52
## NP 14.20 0.462 27 13.26 15.15
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 11.41 0.462 27 10.46 12.35 a
## EA 9.95 0.462 27 9.00 10.90 b
## AG 9.78 0.462 27 8.83 10.73 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 11.54 0.462 27 10.59 12.49 a
## EA 10.68 0.462 27 9.73 11.63 a
## AG 8.58 0.462 27 7.63 9.53 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 14.20 0.462 27 13.26 15.15 a
## AG 11.53 0.462 27 10.58 12.47 b
## EA 9.57 0.462 27 8.63 10.52 c
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 NP 472 11.405773 0.4622295 27 10.457356 12.354190 a
## 2 EA 472 9.948611 0.4622295 27 9.000194 10.897028 b
## 3 AG 472 9.777778 0.4622295 27 8.829361 10.726194 b
## 4 NP 579 11.540066 0.4622295 27 10.591649 12.488482 a
## 5 EA 579 10.679544 0.4622295 27 9.731128 11.627961 a
## 6 AG 579 8.581502 0.4622295 27 7.633085 9.529919 b
## 8 NP 850 14.204748 0.4622295 27 13.256332 15.153165 a
## 7 AG 850 11.526122 0.4622295 27 10.577706 12.474539 b
## 9 EA 850 9.573659 0.4622295 27 8.625242 10.522076 c## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 9.777778 0.4622295 27 8.829361 10.726194 b Tribune 4
## 2 472 EA 9.948611 0.4622295 27 9.000194 10.897028 b Tribune 4
## 3 472 NP 11.405773 0.4622295 27 10.457356 12.354190 a Tribune 4
## 4 579 AG 8.581502 0.4622295 27 7.633085 9.529919 b Hays 4
## 5 579 EA 10.679544 0.4622295 27 9.731128 11.627961 a Hays 4
## 6 579 NP 11.540066 0.4622295 27 10.591649 12.488482 a Hays 4
## 7 850 AG 11.526122 0.4622295 27 10.577706 12.474539 b Manhattan 4
## 8 850 EA 9.573659 0.4622295 27 8.625242 10.522076 c Manhattan 4
## 9 850 NP 14.204748 0.4622295 27 13.256332 15.153165 a Manhattan 4
## mean sd se
## 1 9.777778 0.6462936 0.3231468
## 2 9.948611 1.3995397 0.6997699
## 3 11.405773 0.2829542 0.1414771
## 4 8.581502 1.3801202 0.6900601
## 5 10.679544 0.6736131 0.3368065
## 6 11.540066 0.8190554 0.4095277
## 7 11.526122 0.7855424 0.3927712
## 8 9.573659 0.9313466 0.4656733
## 9 14.204748 0.8493115 0.4246558
5.1.2 5-10 cm L*P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 4.2553 2.1276 2 30 1.4536 0.249721
## precip 12.7728 12.7728 1 30 8.7263 0.006048 **
## landuse:precip 10.0043 5.0022 2 30 3.4175 0.046017 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 20.486 10.2430 2 27 14.4440 5.428e-05 ***
## precip 31.759 15.8793 2 27 22.3919 1.849e-06 ***
## landuse:precip 15.782 3.9456 4 27 5.5638 0.002121 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 10.12 0.421 27 9.26 10.98
## EA 9.43 0.421 27 8.56 10.29
## NP 10.47 0.421 27 9.61 11.34
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 7.77 0.421 27 6.91 8.64
## EA 8.89 0.421 27 8.02 9.75
## NP 9.43 0.421 27 8.57 10.30
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 10.97 0.421 27 10.11 11.83
## EA 9.12 0.421 27 8.26 9.98
## NP 12.88 0.421 27 12.02 13.74
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 10.47 0.421 27 9.61 11.34 a
## AG 10.12 0.421 27 9.26 10.98 a
## EA 9.43 0.421 27 8.56 10.29 a
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 9.43 0.421 27 8.57 10.30 a
## EA 8.89 0.421 27 8.02 9.75 ab
## AG 7.77 0.421 27 6.91 8.64 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 12.88 0.421 27 12.02 13.74 a
## AG 10.97 0.421 27 10.11 11.83 b
## EA 9.12 0.421 27 8.26 9.98 c
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 2 NP 472 10.474097 0.4210565 27 9.610161 11.338034 a
## 1 AG 472 10.120175 0.4210565 27 9.256239 10.984112 a
## 3 EA 472 9.428329 0.4210565 27 8.564393 10.292266 a
## 4 NP 579 9.433783 0.4210565 27 8.569847 10.297720 a
## 5 EA 579 8.886607 0.4210565 27 8.022671 9.750544 ab
## 6 AG 579 7.772665 0.4210565 27 6.908728 8.636601 b
## 8 NP 850 12.880470 0.4210565 27 12.016534 13.744407 a
## 7 AG 850 10.970536 0.4210565 27 10.106599 11.834472 b
## 9 EA 850 9.120833 0.4210565 27 8.256897 9.984770 c## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 10.120175 0.4210565 27 9.256239 10.984112 a Tribune 4
## 2 472 EA 9.428329 0.4210565 27 8.564393 10.292266 a Tribune 4
## 3 472 NP 10.474097 0.4210565 27 9.610161 11.338034 a Tribune 4
## 4 579 AG 7.772665 0.4210565 27 6.908728 8.636601 b Hays 4
## 5 579 EA 8.886607 0.4210565 27 8.022671 9.750544 ab Hays 4
## 6 579 NP 9.433783 0.4210565 27 8.569847 10.297720 a Hays 4
## 7 850 AG 10.970536 0.4210565 27 10.106599 11.834472 b Manhattan 4
## 8 850 EA 9.120833 0.4210565 27 8.256897 9.984770 c Manhattan 4
## 9 850 NP 12.880470 0.4210565 27 12.016534 13.744407 a Manhattan 4
## mean sd se
## 1 10.120175 0.3762794 0.1881397
## 2 9.428329 0.8229181 0.4114590
## 3 10.474097 0.3930355 0.1965178
## 4 7.772665 0.9790590 0.4895295
## 5 8.886607 1.0962681 0.5481341
## 6 9.433783 0.2715572 0.1357786
## 7 10.970536 1.6937246 0.8468623
## 8 9.120833 0.5137688 0.2568844
## 9 12.880470 0.2058282 0.1029141
5.1.3 10-15 cm P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.063 0.032 2 20.618 0.0357 0.9650
## precip 60.565 60.565 1 29.307 68.3437 3.776e-09 ***
## landuse:precip 0.960 0.480 2 20.618 0.5417 0.5898
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 13.546 6.773 2 22.366 8.9978 0.001358 **
## precip 69.479 34.740 2 11.905 46.1500 2.465e-06 ***
## landuse:precip 4.047 1.012 4 22.366 1.3442 0.284713
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip lsmean SE df lower.CL upper.CL
## 472 9.51 0.282 10.7 8.88 10.13
## 579 8.65 0.282 10.7 8.03 9.27
## 850 11.96 0.282 10.7 11.34 12.58
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 850 11.96 0.282 10.7 11.34 12.58 a
## 472 9.51 0.282 10.7 8.88 10.13 b
## 579 8.65 0.282 10.7 8.03 9.27 b
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 2 850 11.961379 0.2821038 10.70645 11.338390 12.584369 a
## 1 472 9.507376 0.2821038 10.70645 8.884386 10.130365 b
## 3 579 8.651880 0.2821038 10.70645 8.028890 9.274869 b
5.2 Protein to Total Nitrogen
5.2.1 0-5 cm P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 17796 8898 2 30 1.2009 0.314978
## precip 91272 91272 1 30 12.3181 0.001439 **
## landuse:precip 24929 12464 2 30 1.6822 0.203034
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 58633 29316 2 21.762 8.1896 0.0022303 **
## precip 96921 48461 2 11.712 13.5374 0.0009008 ***
## landuse:precip 142519 35630 4 21.762 9.9531 9.773e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip lsmean SE df lower.CL upper.CL
## 472 284 17.4 13.2 246 321
## 579 216 17.4 13.2 178 253
## 850 155 17.4 13.2 118 193
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 472 284 17.4 13.2 246 321 a
## 579 216 17.4 13.2 178 253 b
## 850 155 17.4 13.2 118 193 c
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 3 472 283.6259 17.42741 13.22396 246.0410 321.2108 a
## 2 579 215.8532 17.42741 13.22396 178.2683 253.4381 b
## 1 850 155.4173 17.42741 13.22396 117.8324 193.0022 c
5.2.2 5-10 cm L*P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 56133 28066.3 2 23.306 29.8255 3.755e-07 ***
## precip 8214 8213.8 1 25.869 8.7287 0.006593 **
## landuse:precip 62800 31400.0 2 22.955 33.3681 1.610e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 1495 747.4 2 20.5823 0.8026 0.4617059
## precip 25650 12825.2 2 9.8214 13.7729 0.0014133 **
## landuse:precip 41700 10425.0 4 17.0349 11.1954 0.0001224 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 263.7 21.6 13.2 217.06 310
## EA 234.9 21.6 13.2 188.24 282
## NP 212.9 21.6 13.2 166.27 260
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 176.0 21.6 13.2 129.35 223
## EA 149.4 21.6 13.2 102.79 196
## NP 137.8 21.6 13.2 91.16 184
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 56.2 21.6 13.2 9.57 103
## EA 161.1 21.6 13.2 114.47 208
## NP 194.4 21.6 13.2 147.73 241
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 263.7 21.6 13.2 217.06 310 a
## EA 234.9 21.6 13.2 188.24 282 a
## NP 212.9 21.6 13.2 166.27 260 a
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 176.0 21.6 13.2 129.35 223 a
## EA 149.4 21.6 13.2 102.79 196 a
## NP 137.8 21.6 13.2 91.16 184 a
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 194.4 21.6 13.2 147.73 241 a
## EA 161.1 21.6 13.2 114.47 208 a
## AG 56.2 21.6 13.2 9.57 103 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 3 AG 472 263.69889 21.6311 13.25407 217.058638 310.3391 a
## 2 EA 472 234.88281 21.6311 13.25407 188.242561 281.5231 a
## 1 NP 472 212.90988 21.6311 13.25407 166.269631 259.5501 a
## 6 AG 579 175.98830 21.6311 13.25407 129.348050 222.6286 a
## 5 EA 579 149.43211 21.6311 13.25407 102.791862 196.0724 a
## 4 NP 579 137.80219 21.6311 13.25407 91.161937 184.4424 a
## 7 NP 850 194.36692 21.6311 13.25407 147.726667 241.0072 a
## 8 EA 850 161.10923 21.6311 13.25407 114.468975 207.7495 a
## 9 AG 850 56.20649 21.6311 13.25407 9.566241 102.8467 b## precip landuse lsmean SE df lower.CL upper.CL .group
## 1 472 AG 263.69889 21.6311 13.25407 217.058638 310.3391 a
## 2 472 EA 234.88281 21.6311 13.25407 188.242561 281.5231 a
## 3 472 NP 212.90988 21.6311 13.25407 166.269631 259.5501 a
## 4 579 AG 175.98830 21.6311 13.25407 129.348050 222.6286 a
## 5 579 EA 149.43211 21.6311 13.25407 102.791862 196.0724 a
## 6 579 NP 137.80219 21.6311 13.25407 91.161937 184.4424 a
## 7 850 AG 56.20649 21.6311 13.25407 9.566241 102.8467 b
## 8 850 EA 161.10923 21.6311 13.25407 114.468975 207.7495 a
## 9 850 NP 194.36692 21.6311 13.25407 147.726667 241.0072 a
## location n mean sd se
## 1 Tribune 4 263.69889 28.577754 14.288877
## 2 Tribune 4 234.88281 58.428248 29.214124
## 3 Tribune 4 212.90988 52.947072 26.473536
## 4 Hays 4 175.98830 40.355886 20.177943
## 5 Hays 4 149.43211 52.844760 26.422380
## 6 Hays 4 137.80219 17.314792 8.657396
## 7 Manhattan 4 56.20649 4.044773 2.022386
## 8 Manhattan 4 161.10923 28.754685 14.377342
## 9 Manhattan 4 194.36692 37.822041 18.911020
5.2.3 10-15 cm
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 5542.4 2771.2 2 30 1.6636 0.2065
## precip 2440.8 2440.8 1 30 1.4652 0.2356
## landuse:precip 5388.6 2694.3 2 30 1.6174 0.21525.3 Soil Respiration to Total Organic Carbon
5.3.1 0-5 cm P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.0013688 0.0006844 2 22.484 1.4441 0.2570194
## precip 0.0088282 0.0088282 1 24.498 18.6279 0.0002276 ***
## landuse:precip 0.0012928 0.0006464 2 22.484 1.3640 0.2759970
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.0011400 0.0005700 2 22.511 1.2587 0.3033
## precip 0.0312701 0.0156350 2 11.831 34.5258 1.152e-05 ***
## landuse:precip 0.0021471 0.0005368 4 22.511 1.1853 0.3441
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip lsmean SE df lower.CL upper.CL
## 472 0.0285 0.00747 9.6 0.0117 0.0452
## 579 0.1145 0.00747 9.6 0.0977 0.1312
## 850 0.0721 0.00747 9.6 0.0554 0.0889
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 579 0.1145 0.00747 9.6 0.0977 0.1312 a
## 850 0.0721 0.00747 9.6 0.0554 0.0889 b
## 472 0.0285 0.00747 9.6 0.0117 0.0452 c
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 1 579 0.1144727 0.007471911 9.599215 0.09772954 0.13121586 a
## 3 850 0.0721230 0.007471911 9.599215 0.05537984 0.08886615 b
## 2 472 0.0284722 0.007471911 9.599215 0.01172904 0.04521536 c
5.3.2 5-10 cm L*P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.0127333 0.0063667 2 22.794 8.3915 0.001858 **
## precip 0.0024014 0.0024014 1 25.493 3.1651 0.087155 .
## landuse:precip 0.0102748 0.0051374 2 22.428 6.7713 0.005005 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.002591 0.0012956 2 27 2.6602 0.08820 .
## precip 0.036120 0.0180599 2 27 37.0822 1.801e-08 ***
## landuse:precip 0.004779 0.0011946 4 27 2.4529 0.07001 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.0138 0.011 27 -0.00881 0.0365
## EA 0.0279 0.011 27 0.00528 0.0506
## NP 0.0133 0.011 27 -0.00932 0.0360
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.0733 0.011 27 0.05070 0.0960
## EA 0.1019 0.011 27 0.07924 0.1245
## NP 0.1126 0.011 27 0.08997 0.1353
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.0562 0.011 27 0.03359 0.0789
## EA 0.0373 0.011 27 0.01471 0.0600
## NP 0.0793 0.011 27 0.05662 0.1019
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 0.0279 0.011 27 0.00528 0.0506 a
## AG 0.0138 0.011 27 -0.00881 0.0365 a
## NP 0.0133 0.011 27 -0.00932 0.0360 a
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 0.1126 0.011 27 0.08997 0.1353 a
## EA 0.1019 0.011 27 0.07924 0.1245 ab
## AG 0.0733 0.011 27 0.05070 0.0960 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 0.0793 0.011 27 0.05662 0.1019 a
## AG 0.0562 0.011 27 0.03359 0.0789 ab
## EA 0.0373 0.011 27 0.01471 0.0600 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 3 EA 472 0.02791757 0.01103431 27 0.005277023 0.05055811 a
## 1 AG 472 0.01382869 0.01103431 27 -0.008811850 0.03646924 a
## 2 NP 472 0.01332391 0.01103431 27 -0.009316634 0.03596445 a
## 4 NP 579 0.11261443 0.01103431 27 0.089973890 0.13525498 a
## 5 EA 579 0.10187667 0.01103431 27 0.079236123 0.12451721 ab
## 6 AG 579 0.07333896 0.01103431 27 0.050698418 0.09597951 b
## 8 NP 850 0.07925770 0.01103431 27 0.056617153 0.10189824 a
## 7 AG 850 0.05623532 0.01103431 27 0.033594778 0.07887587 ab
## 9 EA 850 0.03734719 0.01103431 27 0.014706645 0.05998773 b## precip landuse lsmean SE df lower.CL upper.CL .group
## 1 472 AG 0.01382869 0.01103431 27 -0.008811850 0.03646924 a
## 2 472 EA 0.02791757 0.01103431 27 0.005277023 0.05055811 a
## 3 472 NP 0.01332391 0.01103431 27 -0.009316634 0.03596445 a
## 4 579 AG 0.07333896 0.01103431 27 0.050698418 0.09597951 b
## 5 579 EA 0.10187667 0.01103431 27 0.079236123 0.12451721 ab
## 6 579 NP 0.11261443 0.01103431 27 0.089973890 0.13525498 a
## 7 850 AG 0.05623532 0.01103431 27 0.033594778 0.07887587 ab
## 8 850 EA 0.03734719 0.01103431 27 0.014706645 0.05998773 b
## 9 850 NP 0.07925770 0.01103431 27 0.056617153 0.10189824 a
## location n mean sd se
## 1 Tribune 4 0.01382869 0.004223345 0.002111673
## 2 Tribune 4 0.02791757 0.014251072 0.007125536
## 3 Tribune 4 0.01332391 0.004204389 0.002102195
## 4 Hays 4 0.07333896 0.035865869 0.017932934
## 5 Hays 4 0.10187667 0.032392120 0.016196060
## 6 Hays 4 0.11261443 0.011353128 0.005676564
## 7 Manhattan 4 0.05623532 0.038177884 0.019088942
## 8 Manhattan 4 0.03734719 0.006667974 0.003333987
## 9 Manhattan 4 0.07925770 0.013345291 0.006672646
5.3.3 10-15 cm L*P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.0050644 0.0025322 2 21.628 5.7680 0.009826 **
## precip 0.0017127 0.0017127 1 26.465 3.9012 0.058768 .
## landuse:precip 0.0049819 0.0024910 2 21.628 5.6741 0.010449 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.0080775 0.0040387 2 22.574 42.497 2.221e-08 ***
## precip 0.0147424 0.0073712 2 12.049 77.561 1.314e-07 ***
## landuse:precip 0.0127194 0.0031798 4 22.574 33.459 3.460e-09 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.00964 0.00519 25.6 -0.00105 0.0203
## EA 0.03377 0.00519 25.6 0.02309 0.0445
## NP 0.00811 0.00519 25.6 -0.00258 0.0188
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.02884 0.00519 25.6 0.01815 0.0395
## EA 0.08525 0.00519 25.6 0.07457 0.0959
## NP 0.11356 0.00519 25.6 0.10288 0.1242
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.05016 0.00519 25.6 0.03947 0.0608
## EA 0.03085 0.00519 25.6 0.02017 0.0415
## NP 0.07679 0.00519 25.6 0.06610 0.0875
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 0.03377 0.00519 25.6 0.02309 0.0445 a
## AG 0.00964 0.00519 25.6 -0.00105 0.0203 b
## NP 0.00811 0.00519 25.6 -0.00258 0.0188 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 0.11356 0.00519 25.6 0.10288 0.1242 a
## EA 0.08525 0.00519 25.6 0.07457 0.0959 b
## AG 0.02884 0.00519 25.6 0.01815 0.0395 c
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 0.07679 0.00519 25.6 0.06610 0.0875 a
## AG 0.05016 0.00519 25.6 0.03947 0.0608 b
## EA 0.03085 0.00519 25.6 0.02017 0.0415 c
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL
## 3 EA 472 0.033772189 0.005194442 25.56235 0.023085956 0.04445842
## 1 AG 472 0.009636382 0.005194442 25.56235 -0.001049851 0.02032262
## 2 NP 472 0.008110496 0.005194442 25.56235 -0.002575737 0.01879673
## 4 NP 579 0.113561255 0.005194442 25.56235 0.102875022 0.12424749
## 5 EA 579 0.085254036 0.005194442 25.56235 0.074567803 0.09594027
## 6 AG 579 0.028836503 0.005194442 25.56235 0.018150270 0.03952274
## 8 NP 850 0.076786673 0.005194442 25.56235 0.066100440 0.08747291
## 7 AG 850 0.050155287 0.005194442 25.56235 0.039469054 0.06084152
## 9 EA 850 0.030852781 0.005194442 25.56235 0.020166548 0.04153901
## .group
## 3 a
## 1 b
## 2 b
## 4 a
## 5 b
## 6 c
## 8 a
## 7 b
## 9 c## precip landuse lsmean SE df lower.CL upper.CL
## 1 472 AG 0.009636382 0.005194442 25.56235 -0.001049851 0.02032262
## 2 472 EA 0.033772189 0.005194442 25.56235 0.023085956 0.04445842
## 3 472 NP 0.008110496 0.005194442 25.56235 -0.002575737 0.01879673
## 4 579 AG 0.028836503 0.005194442 25.56235 0.018150270 0.03952274
## 5 579 EA 0.085254036 0.005194442 25.56235 0.074567803 0.09594027
## 6 579 NP 0.113561255 0.005194442 25.56235 0.102875022 0.12424749
## 7 850 AG 0.050155287 0.005194442 25.56235 0.039469054 0.06084152
## 8 850 EA 0.030852781 0.005194442 25.56235 0.020166548 0.04153901
## 9 850 NP 0.076786673 0.005194442 25.56235 0.066100440 0.08747291
## .group location n mean sd se
## 1 b Tribune 4 0.009636382 0.001963819 0.0009819096
## 2 a Tribune 4 0.033772189 0.006790007 0.0033950034
## 3 b Tribune 4 0.008110496 0.003324699 0.0016623497
## 4 c Hays 4 0.028836503 0.002592590 0.0012962951
## 5 b Hays 4 0.085254036 0.014356535 0.0071782676
## 6 a Hays 4 0.113561255 0.008089896 0.0040449479
## 7 b Manhattan 4 0.050155287 0.016752380 0.0083761900
## 8 c Manhattan 4 0.030852781 0.009749883 0.0048749417
## 9 a Manhattan 4 0.076786673 0.016326946 0.0081634730
5.4 Glucosidase to Glucosaminidase ratio
5.4.1 0-5 cm
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.10396 0.051981 2 30 13.956 5.191e-05 ***
## precip 0.10589 0.105886 1 30 28.429 9.125e-06 ***
## landuse:precip 0.15927 0.079635 2 30 21.381 1.692e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 15.4.2 5-10 cm
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.134872 0.067436 2 22.364 8.8456 0.0014782 **
## precip 0.001683 0.001683 1 29.926 0.2208 0.6418299
## landuse:precip 0.163739 0.081870 2 21.635 10.7388 0.0005764 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 15.4.3 10-15 cm L*P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.027472 0.0137362 2 13.414 5.7416 0.0157965 *
## precip 0.001128 0.0011276 1 13.879 0.4713 0.5036802
## landuse:precip 0.062699 0.0313493 2 13.414 13.1037 0.0007002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.109683 0.054841 2 27 25.7118 5.602e-07 ***
## precip 0.018770 0.009385 2 27 4.4001 0.0221805 *
## landuse:precip 0.064712 0.016178 4 27 7.5849 0.0003126 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.116 0.0231 27 1.068 1.16
## EA 1.125 0.0231 27 1.077 1.17
## NP 1.098 0.0231 27 1.050 1.15
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.188 0.0231 27 1.140 1.23
## EA 1.215 0.0231 27 1.168 1.26
## NP 1.102 0.0231 27 1.055 1.15
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.245 0.0231 27 1.198 1.29
## EA 1.199 0.0231 27 1.151 1.25
## NP 0.992 0.0231 27 0.944 1.04
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 1.125 0.0231 27 1.077 1.17 a
## AG 1.116 0.0231 27 1.068 1.16 a
## NP 1.098 0.0231 27 1.050 1.15 a
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 1.215 0.0231 27 1.168 1.26 a
## AG 1.188 0.0231 27 1.140 1.23 a
## NP 1.102 0.0231 27 1.055 1.15 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 1.245 0.0231 27 1.198 1.29 a
## EA 1.199 0.0231 27 1.151 1.25 a
## NP 0.992 0.0231 27 0.944 1.04 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 3 EA 472 1.124528 0.02309178 27 1.0771477 1.171909 a
## 1 AG 472 1.115747 0.02309178 27 1.0683662 1.163127 a
## 2 NP 472 1.097853 0.02309178 27 1.0504722 1.145233 a
## 6 EA 579 1.215155 0.02309178 27 1.1677747 1.262535 a
## 4 AG 579 1.187538 0.02309178 27 1.1401573 1.234918 a
## 5 NP 579 1.102450 0.02309178 27 1.0550693 1.149830 b
## 9 AG 850 1.244930 0.02309178 27 1.1975493 1.292310 a
## 8 EA 850 1.198812 0.02309178 27 1.1514319 1.246193 a
## 7 NP 850 0.991880 0.02309178 27 0.9444995 1.039260 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 1.115747 0.02309178 27 1.0683662 1.163127 a Tribune 4
## 2 472 EA 1.124528 0.02309178 27 1.0771477 1.171909 a Tribune 4
## 3 472 NP 1.097853 0.02309178 27 1.0504722 1.145233 a Tribune 4
## 4 579 AG 1.187538 0.02309178 27 1.1401573 1.234918 a Hays 4
## 5 579 EA 1.215155 0.02309178 27 1.1677747 1.262535 a Hays 4
## 6 579 NP 1.102450 0.02309178 27 1.0550693 1.149830 b Hays 4
## 7 850 AG 1.244930 0.02309178 27 1.1975493 1.292310 a Manhattan 4
## 8 850 EA 1.198812 0.02309178 27 1.1514319 1.246193 a Manhattan 4
## 9 850 NP 0.991880 0.02309178 27 0.9444995 1.039260 b Manhattan 4
## mean sd se
## 1 1.115747 0.05221639 0.026108196
## 2 1.124528 0.02037105 0.010185524
## 3 1.097853 0.02760030 0.013800151
## 4 1.187538 0.02638498 0.013192489
## 5 1.215155 0.03269507 0.016347537
## 6 1.102450 0.01546746 0.007733731
## 7 1.244930 0.10989570 0.054947850
## 8 1.198812 0.02582553 0.012912765
## 9 0.991880 0.02333633 0.011668163
5.5 Glucosidase to Acid Phosphotase ratio
5.5.1 0-5 cm L*P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.10137 0.050685 2 30 30.729 5.476e-08 ***
## precip 0.06991 0.069910 1 30 42.385 3.380e-07 ***
## landuse:precip 0.15343 0.076715 2 30 46.511 6.414e-10 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.076561 0.038281 2 27 35.079 3.108e-08 ***
## precip 0.074473 0.037236 2 27 34.122 4.066e-08 ***
## landuse:precip 0.168886 0.042221 4 27 38.690 8.259e-11 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.785 0.0165 27 0.751 0.819
## EA 0.809 0.0165 27 0.775 0.843
## NP 0.806 0.0165 27 0.772 0.839
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.858 0.0165 27 0.824 0.892
## EA 0.903 0.0165 27 0.869 0.936
## NP 0.807 0.0165 27 0.773 0.841
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.104 0.0165 27 1.070 1.138
## EA 0.830 0.0165 27 0.796 0.864
## NP 0.799 0.0165 27 0.765 0.833
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 0.809 0.0165 27 0.775 0.843 a
## NP 0.806 0.0165 27 0.772 0.839 a
## AG 0.785 0.0165 27 0.751 0.819 a
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 0.903 0.0165 27 0.869 0.936 a
## AG 0.858 0.0165 27 0.824 0.892 a
## NP 0.807 0.0165 27 0.773 0.841 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 1.104 0.0165 27 1.070 1.138 a
## EA 0.830 0.0165 27 0.796 0.864 b
## NP 0.799 0.0165 27 0.765 0.833 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 1 EA 472 0.8089593 0.01651727 27 0.7750687 0.8428500 a
## 3 NP 472 0.8055129 0.01651727 27 0.7716222 0.8394035 a
## 2 AG 472 0.7849133 0.01651727 27 0.7510227 0.8188040 a
## 6 EA 579 0.9026081 0.01651727 27 0.8687175 0.9364988 a
## 4 AG 579 0.8582963 0.01651727 27 0.8244056 0.8921869 a
## 5 NP 579 0.8069508 0.01651727 27 0.7730602 0.8408415 b
## 9 AG 850 1.1043384 0.01651727 27 1.0704478 1.1382291 a
## 8 EA 850 0.8302688 0.01651727 27 0.7963781 0.8641594 b
## 7 NP 850 0.7990042 0.01651727 27 0.7651136 0.8328948 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 0.7849133 0.01651727 27 0.7510227 0.8188040 a Tribune 4
## 2 472 EA 0.8089593 0.01651727 27 0.7750687 0.8428500 a Tribune 4
## 3 472 NP 0.8055129 0.01651727 27 0.7716222 0.8394035 a Tribune 4
## 4 579 AG 0.8582963 0.01651727 27 0.8244056 0.8921869 a Hays 4
## 5 579 EA 0.9026081 0.01651727 27 0.8687175 0.9364988 a Hays 4
## 6 579 NP 0.8069508 0.01651727 27 0.7730602 0.8408415 b Hays 4
## 7 850 AG 1.1043384 0.01651727 27 1.0704478 1.1382291 a Manhattan 4
## 8 850 EA 0.8302688 0.01651727 27 0.7963781 0.8641594 b Manhattan 4
## 9 850 NP 0.7990042 0.01651727 27 0.7651136 0.8328948 b Manhattan 4
## mean sd se
## 1 0.7849133 0.062922064 0.031461032
## 2 0.8089593 0.061012952 0.030506476
## 3 0.8055129 0.005743421 0.002871711
## 4 0.8582963 0.008017656 0.004008828
## 5 0.9026081 0.005648516 0.002824258
## 6 0.8069508 0.007179254 0.003589627
## 7 1.1043384 0.043970714 0.021985357
## 8 0.8302688 0.004144356 0.002072178
## 9 0.7990042 0.002905048 0.001452524
5.5.2 5-10 cm L*P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.085944 0.042972 2 30 15.701 2.158e-05 ***
## precip 0.029713 0.029713 1 30 10.856 0.002533 **
## landuse:precip 0.122663 0.061332 2 30 22.409 1.114e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.07266 0.03633 2 27 11.9736 0.0001894 ***
## precip 0.02972 0.01486 2 27 4.8976 0.0153194 *
## landuse:precip 0.12284 0.03071 4 27 10.1214 3.873e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.775 0.0275 27 0.719 0.832
## EA 0.860 0.0275 27 0.804 0.917
## NP 0.772 0.0275 27 0.716 0.829
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.855 0.0275 27 0.798 0.911
## EA 0.835 0.0275 27 0.779 0.892
## NP 0.779 0.0275 27 0.722 0.835
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.036 0.0275 27 0.979 1.092
## EA 0.793 0.0275 27 0.736 0.849
## NP 0.785 0.0275 27 0.728 0.841
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 0.860 0.0275 27 0.804 0.917 a
## AG 0.775 0.0275 27 0.719 0.832 b
## NP 0.772 0.0275 27 0.716 0.829 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 0.855 0.0275 27 0.798 0.911 a
## EA 0.835 0.0275 27 0.779 0.892 a
## NP 0.779 0.0275 27 0.722 0.835 a
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 1.036 0.0275 27 0.979 1.092 a
## EA 0.793 0.0275 27 0.736 0.849 b
## NP 0.785 0.0275 27 0.728 0.841 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 3 EA 472 0.8602815 0.02754167 27 0.8037706 0.9167923 a
## 1 AG 472 0.7750262 0.02754167 27 0.7185154 0.8315371 b
## 2 NP 472 0.7722744 0.02754167 27 0.7157636 0.8287853 b
## 6 AG 579 0.8546662 0.02754167 27 0.7981554 0.9111771 a
## 5 EA 579 0.8354833 0.02754167 27 0.7789724 0.8919941 a
## 4 NP 579 0.7786179 0.02754167 27 0.7221070 0.8351287 a
## 9 AG 850 1.0358008 0.02754167 27 0.9792899 1.0923116 a
## 8 EA 850 0.7926165 0.02754167 27 0.7361056 0.8491273 b
## 7 NP 850 0.7847644 0.02754167 27 0.7282536 0.8412752 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 0.7750262 0.02754167 27 0.7185154 0.8315371 b Tribune 4
## 2 472 EA 0.8602815 0.02754167 27 0.8037706 0.9167923 a Tribune 4
## 3 472 NP 0.7722744 0.02754167 27 0.7157636 0.8287853 b Tribune 4
## 4 579 AG 0.8546662 0.02754167 27 0.7981554 0.9111771 a Hays 4
## 5 579 EA 0.8354833 0.02754167 27 0.7789724 0.8919941 a Hays 4
## 6 579 NP 0.7786179 0.02754167 27 0.7221070 0.8351287 a Hays 4
## 7 850 AG 1.0358008 0.02754167 27 0.9792899 1.0923116 a Manhattan 4
## 8 850 EA 0.7926165 0.02754167 27 0.7361056 0.8491273 b Manhattan 4
## 9 850 NP 0.7847644 0.02754167 27 0.7282536 0.8412752 b Manhattan 4
## mean sd se
## 1 1.060658 0.048553620 0.024276810
## 2 1.264613 0.285783695 0.142891848
## 3 1.076285 0.008234744 0.004117372
## 4 1.180818 0.052306771 0.026153385
## 5 1.186774 0.047542961 0.023771480
## 6 1.107452 0.012716366 0.006358183
## 7 1.329150 0.055360248 0.027680124
## 8 1.120306 0.030051628 0.015025814
## 9 1.025450 0.025012547 0.012506274
5.5.3 10-15 cm L*P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.016951 0.008475 2 30 4.3911 0.0212483 *
## precip 0.036928 0.036928 1 30 19.1325 0.0001354 ***
## landuse:precip 0.030599 0.015299 2 30 7.9267 0.0017229 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.029770 0.014885 2 27 12.1211 0.0001752 ***
## precip 0.050201 0.025101 2 27 20.4398 3.935e-06 ***
## landuse:precip 0.042072 0.010518 4 27 8.5649 0.0001344 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.755 0.0175 27 0.719 0.791
## EA 0.710 0.0175 27 0.674 0.745
## NP 0.772 0.0175 27 0.736 0.808
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.829 0.0175 27 0.793 0.864
## EA 0.831 0.0175 27 0.795 0.867
## NP 0.778 0.0175 27 0.742 0.814
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.929 0.0175 27 0.893 0.965
## EA 0.798 0.0175 27 0.762 0.834
## NP 0.772 0.0175 27 0.736 0.808
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## NP 0.772 0.0175 27 0.736 0.808 a
## AG 0.755 0.0175 27 0.719 0.791 ab
## EA 0.710 0.0175 27 0.674 0.745 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 0.831 0.0175 27 0.795 0.867 a
## AG 0.829 0.0175 27 0.793 0.864 ab
## NP 0.778 0.0175 27 0.742 0.814 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 0.929 0.0175 27 0.893 0.965 a
## EA 0.798 0.0175 27 0.762 0.834 b
## NP 0.772 0.0175 27 0.736 0.808 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 2 NP 472 0.7718429 0.01752161 27 0.7358916 0.8077943 a
## 1 AG 472 0.7552471 0.01752161 27 0.7192957 0.7911985 ab
## 3 EA 472 0.7095220 0.01752161 27 0.6735706 0.7454734 b
## 6 EA 579 0.8307880 0.01752161 27 0.7948366 0.8667393 a
## 4 AG 579 0.8285438 0.01752161 27 0.7925924 0.8644952 ab
## 5 NP 579 0.7775858 0.01752161 27 0.7416344 0.8135372 b
## 9 AG 850 0.9287323 0.01752161 27 0.8927809 0.9646836 a
## 8 EA 850 0.7982394 0.01752161 27 0.7622880 0.8341908 b
## 7 NP 850 0.7722273 0.01752161 27 0.7362759 0.8081787 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 0.7552471 0.01752161 27 0.7192957 0.7911985 ab Tribune 4
## 2 472 EA 0.7095220 0.01752161 27 0.6735706 0.7454734 b Tribune 4
## 3 472 NP 0.7718429 0.01752161 27 0.7358916 0.8077943 a Tribune 4
## 4 579 AG 0.8285438 0.01752161 27 0.7925924 0.8644952 ab Hays 4
## 5 579 EA 0.8307880 0.01752161 27 0.7948366 0.8667393 a Hays 4
## 6 579 NP 0.7775858 0.01752161 27 0.7416344 0.8135372 b Hays 4
## 7 850 AG 0.9287323 0.01752161 27 0.8927809 0.9646836 a Manhattan 4
## 8 850 EA 0.7982394 0.01752161 27 0.7622880 0.8341908 b Manhattan 4
## 9 850 NP 0.7722273 0.01752161 27 0.7362759 0.8081787 b Manhattan 4
## mean sd se
## 1 1.115747 0.05221639 0.026108196
## 2 1.124528 0.02037105 0.010185524
## 3 1.097853 0.02760030 0.013800151
## 4 1.187538 0.02638498 0.013192489
## 5 1.215155 0.03269507 0.016347537
## 6 1.102450 0.01546746 0.007733731
## 7 1.244930 0.10989570 0.054947850
## 8 1.198812 0.02582553 0.012912765
## 9 0.991880 0.02333633 0.011668163
5.6 Glucosidase to Alkaline Phosphatase ratio
5.6.1 0-5 cm L*P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.030786 0.015393 2 19.676 14.245 0.0001496 ***
## precip 0.024274 0.024274 1 29.860 22.464 4.905e-05 ***
## landuse:precip 0.023176 0.011588 2 19.676 10.724 0.0007083 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.051416 0.0257081 2 27 24.5570 8.388e-07 ***
## precip 0.031808 0.0159040 2 27 15.1919 3.800e-05 ***
## landuse:precip 0.024029 0.0060073 4 27 5.7383 0.00178 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.989 0.0162 27 0.956 1.022
## EA 0.970 0.0162 27 0.937 1.004
## NP 0.875 0.0162 27 0.842 0.908
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.022 0.0162 27 0.988 1.055
## EA 1.013 0.0162 27 0.980 1.046
## NP 0.922 0.0162 27 0.888 0.955
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.876 0.0162 27 0.843 0.909
## EA 0.972 0.0162 27 0.938 1.005
## NP 0.891 0.0162 27 0.858 0.924
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 0.989 0.0162 27 0.956 1.022 a
## EA 0.970 0.0162 27 0.937 1.004 a
## NP 0.875 0.0162 27 0.842 0.908 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 1.022 0.0162 27 0.988 1.055 a
## EA 1.013 0.0162 27 0.980 1.046 a
## NP 0.922 0.0162 27 0.888 0.955 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 0.972 0.0162 27 0.938 1.005 a
## NP 0.891 0.0162 27 0.858 0.924 b
## AG 0.876 0.0162 27 0.843 0.909 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 3 AG 472 0.9887068 0.01617773 27 0.9555128 1.0219007 a
## 2 EA 472 0.9704553 0.01617773 27 0.9372613 1.0036493 a
## 1 NP 472 0.8751113 0.01617773 27 0.8419173 0.9083052 b
## 6 AG 579 1.0215308 0.01617773 27 0.9883368 1.0547248 a
## 5 EA 579 1.0129532 0.01617773 27 0.9797592 1.0461471 a
## 4 NP 579 0.9216606 0.01617773 27 0.8884666 0.9548545 b
## 7 EA 850 0.9715165 0.01617773 27 0.9383225 1.0047104 a
## 9 NP 850 0.8907605 0.01617773 27 0.8575665 0.9239544 b
## 8 AG 850 0.8759463 0.01617773 27 0.8427523 0.9091402 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 0.9887068 0.01617773 27 0.9555128 1.0219007 a Tribune 4
## 2 472 EA 0.9704553 0.01617773 27 0.9372613 1.0036493 a Tribune 4
## 3 472 NP 0.8751113 0.01617773 27 0.8419173 0.9083052 b Tribune 4
## 4 579 AG 1.0215308 0.01617773 27 0.9883368 1.0547248 a Hays 4
## 5 579 EA 1.0129532 0.01617773 27 0.9797592 1.0461471 a Hays 4
## 6 579 NP 0.9216606 0.01617773 27 0.8884666 0.9548545 b Hays 4
## 7 850 AG 0.8759463 0.01617773 27 0.8427523 0.9091402 b Manhattan 4
## 8 850 EA 0.9715165 0.01617773 27 0.9383225 1.0047104 a Manhattan 4
## 9 850 NP 0.8907605 0.01617773 27 0.8575665 0.9239544 b Manhattan 4
## mean sd se
## 1 0.9887068 0.064207306 0.0321036531
## 2 0.9704553 0.062650271 0.0313251354
## 3 0.8751113 0.001551513 0.0007757564
## 4 1.0215308 0.021037373 0.0105186863
## 5 1.0129532 0.021271173 0.0106355867
## 6 0.9216606 0.003493840 0.0017469201
## 7 0.8759463 0.012170784 0.0060853921
## 8 0.9715165 0.010420600 0.0052102999
## 9 0.8907605 0.014418215 0.0072091074
5.6.2 5-10 cm L*P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.068287 0.034144 2 30 13.657 6.067e-05 ***
## precip 0.029726 0.029726 1 30 11.890 0.0016942 **
## landuse:precip 0.059389 0.029695 2 30 11.877 0.0001587 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.098071 0.049036 2 27 21.8345 2.285e-06 ***
## precip 0.035142 0.017571 2 27 7.8240 0.0020882 **
## landuse:precip 0.068340 0.017085 4 27 7.6077 0.0003064 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.024 0.0237 27 0.975 1.073
## EA 1.039 0.0237 27 0.990 1.087
## NP 0.877 0.0237 27 0.828 0.925
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.038 0.0237 27 0.990 1.087
## EA 1.016 0.0237 27 0.967 1.064
## NP 0.914 0.0237 27 0.865 0.963
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.838 0.0237 27 0.790 0.887
## EA 1.019 0.0237 27 0.970 1.067
## NP 0.899 0.0237 27 0.851 0.948
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 1.039 0.0237 27 0.990 1.087 a
## AG 1.024 0.0237 27 0.975 1.073 a
## NP 0.877 0.0237 27 0.828 0.925 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 1.038 0.0237 27 0.990 1.087 a
## EA 1.016 0.0237 27 0.967 1.064 a
## NP 0.914 0.0237 27 0.865 0.963 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 1.019 0.0237 27 0.970 1.067 a
## NP 0.899 0.0237 27 0.851 0.948 b
## AG 0.838 0.0237 27 0.790 0.887 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 3 EA 472 1.0387339 0.02369482 27 0.9901161 1.0873516 a
## 1 AG 472 1.0239461 0.02369482 27 0.9753283 1.0725639 a
## 2 NP 472 0.8765723 0.02369482 27 0.8279545 0.9251900 b
## 6 AG 579 1.0382247 0.02369482 27 0.9896069 1.0868424 a
## 5 EA 579 1.0156473 0.02369482 27 0.9670296 1.0642651 a
## 4 NP 579 0.9140689 0.02369482 27 0.8654511 0.9626867 b
## 7 EA 850 1.0185166 0.02369482 27 0.9698988 1.0671343 a
## 9 NP 850 0.8993517 0.02369482 27 0.8507340 0.9479695 b
## 8 AG 850 0.8384528 0.02369482 27 0.7898351 0.8870706 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 1.0239461 0.02369482 27 0.9753283 1.0725639 a Tribune 4
## 2 472 EA 1.0387339 0.02369482 27 0.9901161 1.0873516 a Tribune 4
## 3 472 NP 0.8765723 0.02369482 27 0.8279545 0.9251900 b Tribune 4
## 4 579 AG 1.0382247 0.02369482 27 0.9896069 1.0868424 a Hays 4
## 5 579 EA 1.0156473 0.02369482 27 0.9670296 1.0642651 a Hays 4
## 6 579 NP 0.9140689 0.02369482 27 0.8654511 0.9626867 b Hays 4
## 7 850 AG 0.8384528 0.02369482 27 0.7898351 0.8870706 b Manhattan 4
## 8 850 EA 1.0185166 0.02369482 27 0.9698988 1.0671343 a Manhattan 4
## 9 850 NP 0.8993517 0.02369482 27 0.8507340 0.9479695 b Manhattan 4
## mean sd se
## 1 1.0239461 0.046600341 0.023300171
## 2 1.0387339 0.080774408 0.040387204
## 3 0.8765723 0.050190422 0.025095211
## 4 1.0382247 0.007482852 0.003741426
## 5 1.0156473 0.084719185 0.042359592
## 6 0.9140689 0.013517299 0.006758650
## 7 0.8384528 0.020999296 0.010499648
## 8 1.0185166 0.013787091 0.006893546
## 9 0.8993517 0.030817595 0.015408798
5.6.3 10-15 cm L*P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.063214 0.031607 2 18.011 12.1798 0.000451 ***
## precip 0.007721 0.007721 1 28.414 2.9751 0.095418 .
## landuse:precip 0.087057 0.043529 2 18.011 16.7737 7.703e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.022719 0.011359 2 27 4.5066 0.0204733 *
## precip 0.060156 0.030078 2 27 11.9328 0.0001935 ***
## landuse:precip 0.090574 0.022644 4 27 8.9833 9.516e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.856 0.0251 27 0.804 0.907
## EA 0.799 0.0251 27 0.747 0.851
## NP 0.842 0.0251 27 0.791 0.894
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.933 0.0251 27 0.882 0.985
## EA 0.932 0.0251 27 0.881 0.984
## NP 0.888 0.0251 27 0.836 0.939
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.829 0.0251 27 0.777 0.880
## EA 1.045 0.0251 27 0.994 1.097
## NP 0.887 0.0251 27 0.835 0.938
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 0.856 0.0251 27 0.804 0.907 a
## NP 0.842 0.0251 27 0.791 0.894 a
## EA 0.799 0.0251 27 0.747 0.851 a
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 0.933 0.0251 27 0.882 0.985 a
## EA 0.932 0.0251 27 0.881 0.984 a
## NP 0.888 0.0251 27 0.836 0.939 a
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 1.045 0.0251 27 0.994 1.097 a
## NP 0.887 0.0251 27 0.835 0.938 b
## AG 0.829 0.0251 27 0.777 0.880 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 2 AG 472 0.8555690 0.02510295 27 0.8040620 0.9070760 a
## 3 NP 472 0.8424409 0.02510295 27 0.7909339 0.8939479 a
## 1 EA 472 0.7990013 0.02510295 27 0.7474943 0.8505083 a
## 6 AG 579 0.9331570 0.02510295 27 0.8816500 0.9846640 a
## 5 EA 579 0.9324732 0.02510295 27 0.8809662 0.9839802 a
## 4 NP 579 0.8875950 0.02510295 27 0.8360880 0.9391020 a
## 7 EA 850 1.0454909 0.02510295 27 0.9939839 1.0969979 a
## 9 NP 850 0.8868676 0.02510295 27 0.8353606 0.9383746 b
## 8 AG 850 0.8285603 0.02510295 27 0.7770533 0.8800673 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 0.8555690 0.02510295 27 0.8040620 0.9070760 a Tribune 4
## 2 472 EA 0.7990013 0.02510295 27 0.7474943 0.8505083 a Tribune 4
## 3 472 NP 0.8424409 0.02510295 27 0.7909339 0.8939479 a Tribune 4
## 4 579 AG 0.9331570 0.02510295 27 0.8816500 0.9846640 a Hays 4
## 5 579 EA 0.9324732 0.02510295 27 0.8809662 0.9839802 a Hays 4
## 6 579 NP 0.8875950 0.02510295 27 0.8360880 0.9391020 a Hays 4
## 7 850 AG 0.8285603 0.02510295 27 0.7770533 0.8800673 b Manhattan 4
## 8 850 EA 1.0454909 0.02510295 27 0.9939839 1.0969979 a Manhattan 4
## 9 850 NP 0.8868676 0.02510295 27 0.8353606 0.9383746 b Manhattan 4
## mean sd se
## 1 0.8555690 0.093220492 0.046610246
## 2 0.7990013 0.057251018 0.028625509
## 3 0.8424409 0.017215516 0.008607758
## 4 0.9331570 0.081701361 0.040850680
## 5 0.9324732 0.037399138 0.018699569
## 6 0.8875950 0.008104582 0.004052291
## 7 0.8285603 0.014364465 0.007182233
## 8 1.0454909 0.006003313 0.003001657
## 9 0.8868676 0.045163163 0.022581582
5.7 Glucosidase to Arylsulfatase ratio
5.7.1 0-5 cm L+P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 1.54428 0.77214 2 30 5.1645 0.011818 *
## precip 1.18817 1.18817 1 30 7.9471 0.008449 **
## landuse:precip 0.82516 0.41258 2 30 2.7596 0.079412 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 2.2637 1.13186 2 27 9.1510 0.0009243 ***
## precip 1.6792 0.83959 2 27 6.7880 0.0040905 **
## landuse:precip 1.4799 0.36997 4 27 2.9912 0.0363706 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## landuse lsmean SE df lower.CL upper.CL
## AG 1.567 0.102 24.3 1.358 1.78
## EA 1.307 0.102 24.3 1.098 1.52
## NP 0.955 0.102 24.3 0.746 1.16
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse lsmean SE df lower.CL upper.CL .group
## AG 1.567 0.102 24.3 1.358 1.78 a
## EA 1.307 0.102 24.3 1.098 1.52 a
## NP 0.955 0.102 24.3 0.746 1.16 b
##
## Results are averaged over the levels of: precip
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse lsmean SE df lower.CL upper.CL .group
## 3 AG 1.5669135 0.1015246 24.3 1.3575138 1.776313 a
## 2 EA 1.3069852 0.1015246 24.3 1.0975855 1.516385 a
## 1 NP 0.9549815 0.1015246 24.3 0.7455819 1.164381 b
## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 2.2637 1.13186 2 27 9.1510 0.0009243 ***
## precip 1.6792 0.83959 2 27 6.7880 0.0040905 **
## landuse:precip 1.4799 0.36997 4 27 2.9912 0.0363706 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip lsmean SE df lower.CL upper.CL
## 472 1.58 0.102 13.5 1.357 1.79
## 579 1.18 0.102 13.5 0.960 1.40
## 850 1.07 0.102 13.5 0.856 1.29
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 472 1.58 0.102 13.5 1.357 1.79 a
## 579 1.18 0.102 13.5 0.960 1.40 b
## 850 1.07 0.102 13.5 0.856 1.29 b
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 3 472 1.575773 0.1015246 13.5 1.3572655 1.794281 a
## 2 579 1.178510 0.1015246 13.5 0.9600025 1.397018 b
## 1 850 1.074597 0.1015246 13.5 0.8560893 1.293105 b
5.7.2 5-10 cm
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.083763 0.041882 2 30 0.8405 0.4414
## precip 0.037473 0.037473 1 30 0.7521 0.3927
## landuse:precip 0.065728 0.032864 2 30 0.6596 0.52445.7.3 10-15 cm L*P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.018804 0.009402 2 20.834 2.8763 0.07887 .
## precip 0.030522 0.030522 1 28.464 9.3376 0.00484 **
## landuse:precip 0.027595 0.013798 2 20.834 4.2211 0.02890 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.173416 0.086708 2 27 30.4426 1.204e-07 ***
## precip 0.079514 0.039757 2 27 13.9585 6.877e-05 ***
## landuse:precip 0.040865 0.010216 4 27 3.5869 0.01803 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.017 0.0267 27 0.962 1.072
## EA 0.931 0.0267 27 0.877 0.986
## NP 0.912 0.0267 27 0.858 0.967
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.149 0.0267 27 1.094 1.204
## EA 1.097 0.0267 27 1.042 1.152
## NP 0.937 0.0267 27 0.883 0.992
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.018 0.0267 27 0.963 1.073
## EA 1.048 0.0267 27 0.993 1.102
## NP 0.849 0.0267 27 0.794 0.904
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip = 472:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 1.017 0.0267 27 0.962 1.072 a
## EA 0.931 0.0267 27 0.877 0.986 b
## NP 0.912 0.0267 27 0.858 0.967 b
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL .group
## AG 1.149 0.0267 27 1.094 1.204 a
## EA 1.097 0.0267 27 1.042 1.152 a
## NP 0.937 0.0267 27 0.883 0.992 b
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL .group
## EA 1.048 0.0267 27 0.993 1.102 a
## AG 1.018 0.0267 27 0.963 1.073 a
## NP 0.849 0.0267 27 0.794 0.904 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## landuse precip lsmean SE df lower.CL upper.CL .group
## 3 AG 472 1.0171728 0.02668445 27 0.9624208 1.0719247 a
## 2 EA 472 0.9313324 0.02668445 27 0.8765804 0.9860844 b
## 1 NP 472 0.9122885 0.02668445 27 0.8575366 0.9670405 b
## 6 AG 579 1.1488597 0.02668445 27 1.0941077 1.2036117 a
## 5 EA 579 1.0969113 0.02668445 27 1.0421594 1.1516633 a
## 4 NP 579 0.9373040 0.02668445 27 0.8825520 0.9920560 b
## 9 EA 850 1.0475292 0.02668445 27 0.9927772 1.1022812 a
## 7 AG 850 1.0181366 0.02668445 27 0.9633846 1.0728885 a
## 8 NP 850 0.8487763 0.02668445 27 0.7940243 0.9035282 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 1.0171728 0.02668445 27 0.9624208 1.0719247 a Tribune 4
## 2 472 EA 0.9313324 0.02668445 27 0.8765804 0.9860844 b Tribune 4
## 3 472 NP 0.9122885 0.02668445 27 0.8575366 0.9670405 b Tribune 4
## 4 579 AG 1.1488597 0.02668445 27 1.0941077 1.2036117 a Hays 4
## 5 579 EA 1.0969113 0.02668445 27 1.0421594 1.1516633 a Hays 4
## 6 579 NP 0.9373040 0.02668445 27 0.8825520 0.9920560 b Hays 4
## 7 850 AG 1.0181366 0.02668445 27 0.9633846 1.0728885 a Manhattan 4
## 8 850 EA 1.0475292 0.02668445 27 0.9927772 1.1022812 a Manhattan 4
## 9 850 NP 0.8487763 0.02668445 27 0.7940243 0.9035282 b Manhattan 4
## mean sd se
## 1 1.0171728 0.098679307 0.049339654
## 2 0.9313324 0.041765819 0.020882910
## 3 0.9122885 0.018838362 0.009419181
## 4 1.1488597 0.080204565 0.040102283
## 5 1.0969113 0.021057570 0.010528785
## 6 0.9373040 0.009795275 0.004897638
## 7 1.0181366 0.075648283 0.037824141
## 8 1.0475292 0.026383840 0.013191920
## 9 0.8487763 0.020158780 0.010079390
5.8 Glucosidase to Phosphodiesterase ratio
5.8.1 0-5 cm P
## [1] "0-5 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.019888 0.009944 2 30 1.6719 0.20493
## precip 0.032455 0.032455 1 30 5.4566 0.02637 *
## landuse:precip 0.006598 0.003299 2 30 0.5547 0.58003
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.096133 0.048066 2 27 8.9888 0.001018 **
## precip 0.065483 0.032742 2 27 6.1230 0.006415 **
## landuse:precip 0.007623 0.001906 4 27 0.3564 0.837285
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip lsmean SE df lower.CL upper.CL
## 472 1.002 0.0211 13.5 0.957 1.048
## 579 1.054 0.0211 13.5 1.008 1.099
## 850 0.949 0.0211 13.5 0.904 0.995
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 579 1.054 0.0211 13.5 1.008 1.099 a
## 472 1.002 0.0211 13.5 0.957 1.048 ab
## 850 0.949 0.0211 13.5 0.904 0.995 b
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 3 579 1.0536234 0.02110953 13.5 1.0081901 1.0990567 a
## 1 472 1.0024758 0.02110953 13.5 0.9570425 1.0479091 ab
## 2 850 0.9491612 0.02110953 13.5 0.9037280 0.9945945 b
5.8.2 5-10 cm P
## [1] "5-10 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.016193 0.008096 2 30 2.0161 0.1508
## precip 0.096856 0.096856 1 30 24.1180 2.995e-05 ***
## landuse:precip 0.006036 0.003018 2 30 0.7515 0.4803
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.066336 0.033168 2 20.918 11.0506 0.0005307 ***
## precip 0.102891 0.051445 2 16.669 17.1400 9.034e-05 ***
## landuse:precip 0.030904 0.007726 4 19.558 2.5741 0.0699051 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip lsmean SE df lower.CL upper.CL
## 472 1.026 0.0167 21.2 0.991 1.06
## 579 1.028 0.0175 11.3 0.989 1.07
## 850 0.912 0.0175 11.3 0.873 0.95
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## precip lsmean SE df lower.CL upper.CL .group
## 579 1.028 0.0175 11.3 0.989 1.07 a
## 472 1.026 0.0167 21.2 0.991 1.06 a
## 850 0.912 0.0175 11.3 0.873 0.95 b
##
## Results are averaged over the levels of: landuse
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05## precip lsmean SE df lower.CL upper.CL .group
## 3 579 1.027668 0.01745650 11.33895 0.9893857 1.0659494 a
## 1 472 1.025530 0.01674693 21.23668 0.9907267 1.0603337 a
## 2 850 0.911640 0.01745650 11.33895 0.8733581 0.9499218 b
5.8.3 10-15 cm L*P
## [1] "10-15 cm"## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.029089 0.014544 2 19.276 5.0271 0.017499 *
## precip 0.022339 0.022339 1 29.992 7.7213 0.009326 **
## landuse:precip 0.033967 0.016983 2 19.276 5.8702 0.010210 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## landuse 0.009655 0.0048277 2 27 2.0485 0.1485011
## precip 0.045578 0.0227891 2 27 9.6697 0.0006809 ***
## landuse:precip 0.051612 0.0129030 4 27 5.4749 0.0023213 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## precip = 472:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.917 0.0243 27 0.867 0.967
## EA 0.870 0.0243 27 0.821 0.920
## NP 0.929 0.0243 27 0.879 0.978
##
## precip = 579:
## landuse lsmean SE df lower.CL upper.CL
## AG 1.032 0.0243 27 0.982 1.082
## EA 0.974 0.0243 27 0.924 1.024
## NP 0.920 0.0243 27 0.870 0.970
##
## precip = 850:
## landuse lsmean SE df lower.CL upper.CL
## AG 0.864 0.0243 27 0.814 0.914
## EA 0.965 0.0243 27 0.915 1.014
## NP 0.858 0.0243 27 0.808 0.908
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95## landuse precip lsmean SE df lower.CL upper.CL .group
## 3 AG 472 1.0171728 0.02668445 27 0.9624208 1.0719247 a
## 2 EA 472 0.9313324 0.02668445 27 0.8765804 0.9860844 b
## 1 NP 472 0.9122885 0.02668445 27 0.8575366 0.9670405 b
## 6 AG 579 1.1488597 0.02668445 27 1.0941077 1.2036117 a
## 5 EA 579 1.0969113 0.02668445 27 1.0421594 1.1516633 a
## 4 NP 579 0.9373040 0.02668445 27 0.8825520 0.9920560 b
## 9 EA 850 1.0475292 0.02668445 27 0.9927772 1.1022812 a
## 7 AG 850 1.0181366 0.02668445 27 0.9633846 1.0728885 a
## 8 NP 850 0.8487763 0.02668445 27 0.7940243 0.9035282 b## landuse precip lsmean SE df lower.CL upper.CL .group
## 2 NP 472 0.9285037 0.02427323 27 0.8786991 0.9783083 a
## 1 AG 472 0.9168469 0.02427323 27 0.8670423 0.9666515 a
## 3 EA 472 0.8703506 0.02427323 27 0.8205460 0.9201551 a
## 6 AG 579 1.0318118 0.02427323 27 0.9820073 1.0816164 a
## 5 EA 579 0.9741848 0.02427323 27 0.9243803 1.0239894 ab
## 4 NP 579 0.9201495 0.02427323 27 0.8703449 0.9699540 b
## 9 EA 850 0.9646501 0.02427323 27 0.9148456 1.0144547 a
## 7 AG 850 0.8638658 0.02427323 27 0.8140613 0.9136704 b
## 8 NP 850 0.8580194 0.02427323 27 0.8082149 0.9078240 b## precip landuse lsmean SE df lower.CL upper.CL .group location n
## 1 472 AG 0.9168469 0.02427323 27 0.8670423 0.9666515 a Tribune 4
## 2 472 EA 0.8703506 0.02427323 27 0.8205460 0.9201551 a Tribune 4
## 3 472 NP 0.9285037 0.02427323 27 0.8786991 0.9783083 a Tribune 4
## 4 579 AG 1.0318118 0.02427323 27 0.9820073 1.0816164 a Hays 4
## 5 579 EA 0.9741848 0.02427323 27 0.9243803 1.0239894 ab Hays 4
## 6 579 NP 0.9201495 0.02427323 27 0.8703449 0.9699540 b Hays 4
## 7 850 AG 0.8638658 0.02427323 27 0.8140613 0.9136704 b Manhattan 4
## 8 850 EA 0.9646501 0.02427323 27 0.9148456 1.0144547 a Manhattan 4
## 9 850 NP 0.8580194 0.02427323 27 0.8082149 0.9078240 b Manhattan 4
## mean sd se
## 1 0.9168469 0.07347363 0.036736814
## 2 0.8703506 0.06319757 0.031598787
## 3 0.9285037 0.02656181 0.013280907
## 4 1.0318118 0.08691864 0.043459322
## 5 0.9741848 0.03783446 0.018917229
## 6 0.9201495 0.01446299 0.007231497
## 7 0.8638658 0.02351076 0.011755379
## 8 0.9646501 0.03004805 0.015024025
## 9 0.8580194 0.02149145 0.010745727
1.6 Comments