## [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
## [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 0.2593
## [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
## 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
## [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 NP 16.374757 1.700531 18.68356 12.811419 19.938094 a
## 2 472 EA 11.218369 1.700531 18.68356 7.655032 14.781707 b
## 3 472 AG 8.533324 1.700531 18.68356 4.969986 12.096662 b
## 4 579 NP 20.151593 1.700531 18.68356 16.588256 23.714931 a
## 5 579 EA 14.095959 1.700531 18.68356 10.532622 17.659297 b
## 6 579 AG 5.693820 1.700531 18.68356 2.130482 9.257157 c
## 7 850 NP 18.924386 1.700531 18.68356 15.361048 22.487724 a
## 8 850 EA 9.331009 1.700531 18.68356 5.767671 12.894346 b
## 9 850 AG 2.109527 1.700531 18.68356 -1.453810 5.672865 c
## location
## 1 Tribune
## 2 Tribune
## 3 Tribune
## 4 Hays
## 5 Hays
## 6 Hays
## 7 Manhattan
## 8 Manhattan
## 9 Manhattan
## [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 NP 9.481236 1.148036 11.44541 6.9663719 11.996100 a
## 2 472 AG 6.969692 1.148036 11.44541 4.4548283 9.484556 ab
## 3 472 EA 4.240214 1.148036 11.44541 1.7253496 6.755077 b
## 4 579 NP 10.644967 1.148036 11.44541 8.1301032 13.159831 a
## 5 579 AG 5.395481 1.148036 11.44541 2.8806173 7.910345 b
## 6 579 EA 4.872860 1.148036 11.44541 2.3579962 7.387724 b
## 7 850 NP 13.962659 1.148036 11.44541 11.4477952 16.477523 a
## 8 850 EA 5.018855 1.148036 11.44541 2.5039916 7.533719 b
## 9 850 AG 2.122223 1.148036 11.44541 -0.3926413 4.637087 c
## location
## 1 Tribune
## 2 Tribune
## 3 Tribune
## 4 Hays
## 5 Hays
## 6 Hays
## 7 Manhattan
## 8 Manhattan
## 9 Manhattan
## [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
## 1 472 NP 6.495736 0.5096899 27 5.449939 7.541534 a Tribune
## 2 472 AG 3.592756 0.5096899 27 2.546958 4.638553 b Tribune
## 3 472 EA 2.473458 0.5096899 27 1.427661 3.519255 b Tribune
## 4 579 NP 8.962847 0.5096899 27 7.917049 10.008644 a Hays
## 5 579 EA 3.863588 0.5096899 27 2.817790 4.909385 b Hays
## 6 579 AG 3.163233 0.5096899 27 2.117436 4.209030 b Hays
## 7 850 NP 10.865018 0.5096899 27 9.819221 11.910815 a Manhattan
## 8 850 EA 2.752753 0.5096899 27 1.706956 3.798551 b Manhattan
## 9 850 AG 2.259754 0.5096899 27 1.213957 3.305552 b Manhattan
## [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
## [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
## 1 472 NP 136.845849 10.46081 27 115.38205 158.30965 a Tribune
## 2 472 AG 75.825188 10.46081 27 54.36139 97.28899 b Tribune
## 3 472 EA 52.639563 10.46081 27 31.17576 74.10336 b Tribune
## 4 579 NP 200.028036 10.46081 27 178.56423 221.49184 a Hays
## 5 579 EA 61.561062 10.46081 27 40.09726 83.02486 b Hays
## 6 579 AG 54.086524 10.46081 27 32.62272 75.55033 b Hays
## 7 850 NP 130.901396 10.46081 27 109.43759 152.36520 a Manhattan
## 8 850 EA 66.300074 10.46081 27 44.83627 87.76388 b Manhattan
## 9 850 AG 9.661535 10.46081 27 -11.80227 31.12534 c Manhattan
## [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
## [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 NP 82.72739 5.436833 25.2876 71.5364806 93.91831 a
## 2 472 EA 18.19938 5.436833 25.2876 7.0084641 29.39029 b
## 3 472 AG 11.82769 5.436833 25.2876 0.6367806 23.01861 b
## 4 579 NP 94.05087 5.436833 25.2876 82.8599553 105.24178 a
## 5 579 EA 56.07564 5.436833 25.2876 44.8847300 67.26656 b
## 6 579 AG 12.94232 5.436833 25.2876 1.7514103 24.13324 c
## 7 850 NP 82.17218 5.436833 25.2876 70.9812688 93.36310 a
## 8 850 AG 47.81004 5.436833 25.2876 36.6191264 59.00095 b
## 9 850 EA 30.96925 5.436833 25.2876 19.7783355 42.16016 c
## location
## 1 Tribune
## 2 Tribune
## 3 Tribune
## 4 Hays
## 5 Hays
## 6 Hays
## 7 Manhattan
## 8 Manhattan
## 9 Manhattan
## [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
## 1 472 NP 43.845743 3.854013 27 35.9379608 51.75353 a Tribune
## 2 472 EA 14.066993 3.854013 27 6.1592110 21.97478 b Tribune
## 3 472 AG 8.837121 3.854013 27 0.9293387 16.74490 b Tribune
## 4 579 NP 46.378364 3.854013 27 38.4705820 54.28615 a Hays
## 5 579 EA 15.408482 3.854013 27 7.5006995 23.31626 b Hays
## 6 579 AG 11.897095 3.854013 27 3.9893128 19.80488 b Hays
## 7 850 AG 48.011935 3.854013 27 40.1041524 55.91972 a Manhattan
## 8 850 NP 40.163259 3.854013 27 32.2554765 48.07104 a Manhattan
## 9 850 EA 9.404951 3.854013 27 1.4971690 17.31273 b Manhattan
## [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
## 1 472 NP 45.490348 4.53961 27 36.175838 54.80486 a Tribune
## 2 472 AG 25.997263 4.53961 27 16.682753 35.31177 b Tribune
## 3 472 EA 24.338253 4.53961 27 15.023743 33.65276 b Tribune
## 4 579 NP 46.130202 4.53961 27 36.815692 55.44471 a Hays
## 5 579 EA 24.205126 4.53961 27 14.890616 33.51964 b Hays
## 6 579 AG 15.009646 4.53961 27 5.695136 24.32416 b Hays
## 7 850 AG 37.637466 4.53961 27 28.322956 46.95198 a Manhattan
## 8 850 NP 26.590013 4.53961 27 17.275503 35.90452 a Manhattan
## 9 850 EA 6.212484 4.53961 27 -3.102026 15.52699 b Manhattan
## [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
## [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 NP 19.153109 1.353888 24.42584 16.3613982 21.944820 a
## 2 472 EA 3.980589 1.353888 24.42584 1.1888776 6.772300 b
## 3 472 AG 1.645733 1.353888 24.42584 -1.1459779 4.437444 b
## 4 579 NP 33.150908 1.353888 24.42584 30.3591970 35.942619 a
## 5 579 EA 6.732545 1.353888 24.42584 3.9408335 9.524255 b
## 6 579 AG 3.470547 1.353888 24.42584 0.6788364 6.262258 b
## 7 850 NP 45.627650 1.353888 24.42584 42.8359394 48.419361 a
## 8 850 EA 7.630217 1.353888 24.42584 4.8385061 10.421928 b
## 9 850 AG 6.714410 1.353888 24.42584 3.9226987 9.506121 b
## location
## 1 Tribune
## 2 Tribune
## 3 Tribune
## 4 Hays
## 5 Hays
## 6 Hays
## 7 Manhattan
## 8 Manhattan
## 9 Manhattan
## [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 NP 23.927095 1.413488 26.49604 21.0242733 26.829917 a
## 2 472 EA 7.870503 1.413488 26.49604 4.9676812 10.773325 b
## 3 472 AG 7.047637 1.413488 26.49604 4.1448147 9.950459 b
## 4 579 NP 29.471810 1.413488 26.49604 26.5689884 32.374632 a
## 5 579 EA 7.371796 1.413488 26.49604 4.4689742 10.274618 b
## 6 579 AG 3.740303 1.413488 26.49604 0.8374805 6.643124 b
## 7 850 NP 35.175205 1.413488 26.49604 32.2723830 38.078027 a
## 8 850 AG 7.376330 1.413488 26.49604 4.4735079 10.279152 b
## 9 850 EA 6.047956 1.413488 26.49604 3.1451338 8.950778 b
## location
## 1 Tribune
## 2 Tribune
## 3 Tribune
## 4 Hays
## 5 Hays
## 6 Hays
## 7 Manhattan
## 8 Manhattan
## 9 Manhattan
## [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
## [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 NP 19.488273 2.128294 25.55399 15.109782 23.86676 a
## 2 472 AG 9.316488 2.128294 25.55399 4.937997 13.69498 b
## 3 472 EA 8.567905 2.128294 25.55399 4.189414 12.94640 b
## 4 579 NP 37.257613 2.128294 25.55399 32.879123 41.63610 a
## 5 579 EA 11.496888 2.128294 25.55399 7.118398 15.87538 b
## 6 579 AG 8.341668 2.128294 25.55399 3.963178 12.72016 b
## 7 850 NP 45.896480 2.128294 25.55399 41.517990 50.27497 a
## 8 850 AG 29.148341 2.128294 25.55399 24.769850 33.52683 b
## 9 850 EA 14.585071 2.128294 25.55399 10.206580 18.96356 c
## location
## 1 Tribune
## 2 Tribune
## 3 Tribune
## 4 Hays
## 5 Hays
## 6 Hays
## 7 Manhattan
## 8 Manhattan
## 9 Manhattan
## [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
## precip landuse lsmean SE df lower.CL upper.CL .group location
## 1 472 NP 21.40554 2.644448 27 15.979580 26.83150 a Tribune
## 2 472 AG 13.81916 2.644448 27 8.393198 19.24511 ab Tribune
## 3 472 EA 12.84488 2.644448 27 7.418923 18.27084 b Tribune
## 4 579 NP 34.28563 2.644448 27 28.859670 39.71159 a Hays
## 5 579 EA 17.68023 2.644448 27 12.254271 23.10619 b Hays
## 6 579 AG 7.54616 2.644448 27 2.120202 12.97212 c Hays
## 7 850 NP 32.41976 2.644448 27 26.993800 37.84572 a Manhattan
## 8 850 AG 25.50598 2.644448 27 20.080025 30.93194 a Manhattan
## 9 850 EA 10.64105 2.644448 27 5.215088 16.06700 b Manhattan
## [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
## [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 NP 5.078364 0.5098937 16.49031 4.00004423 6.156684 a
## 2 472 AG 4.371856 0.5098937 16.49031 3.29353629 5.450176 ab
## 3 472 EA 3.599918 0.5098937 16.49031 2.52159787 4.678238 b
## 4 579 NP 3.763522 0.5098937 16.49031 2.68520156 4.841842 a
## 5 579 EA 2.520902 0.5098937 16.49031 1.44258197 3.599222 b
## 6 579 AG 2.218873 0.5098937 16.49031 1.14055311 3.297193 b
## 7 850 NP 5.217226 0.5098937 16.49031 4.13890632 6.295546 a
## 8 850 EA 2.667235 0.5098937 16.49031 1.58891498 3.745555 b
## 9 850 AG 1.017765 0.5098937 16.49031 -0.06055468 2.096085 c
## location
## 1 Tribune
## 2 Tribune
## 3 Tribune
## 4 Hays
## 5 Hays
## 6 Hays
## 7 Manhattan
## 8 Manhattan
## 9 Manhattan
## [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 0.5400
## [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
## 1 472 NP 1430.925 10.10098 27 1410.199 1451.650 a Tribune
## 2 472 EA 1389.748 10.10098 27 1369.022 1410.473 b Tribune
## 3 472 AG 1372.025 10.10098 27 1351.300 1392.751 b Tribune
## 4 579 AG 1487.880 10.10098 27 1467.154 1508.605 a Hays
## 5 579 NP 1467.616 10.10098 27 1446.890 1488.341 a Hays
## 6 579 EA 1462.900 10.10098 27 1442.174 1483.625 a Hays
## 7 850 EA 1506.888 10.10098 27 1486.163 1527.614 a Manhattan
## 8 850 NP 1400.150 10.10098 27 1379.425 1420.876 b Manhattan
## 9 850 AG 1367.564 10.10098 27 1346.838 1388.289 c Manhattan
## [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
## 1 472 NP 1409.322 7.417474 27 1394.102 1424.541 a Tribune
## 2 472 EA 1375.343 7.417474 27 1360.124 1390.563 b Tribune
## 3 472 AG 1374.584 7.417474 27 1359.365 1389.803 b Tribune
## 4 579 AG 1490.951 7.417474 27 1475.732 1506.170 a Hays
## 5 579 NP 1460.074 7.417474 27 1444.854 1475.293 b Hays
## 6 579 EA 1452.924 7.417474 27 1437.704 1468.143 b Hays
## 7 850 EA 1530.849 7.417474 27 1515.629 1546.068 a Manhattan
## 8 850 NP 1379.605 7.417474 27 1364.386 1394.824 b Manhattan
## 9 850 AG 1355.762 7.417474 27 1340.542 1370.981 c Manhattan
## [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
## 1 472 EA 1384.425 6.090471 26.8725 1371.925 1396.924 a Tribune
## 2 472 NP 1378.523 6.090471 26.8725 1366.023 1391.022 a Tribune
## 3 472 AG 1375.779 6.090471 26.8725 1363.280 1388.278 a Tribune
## 4 579 AG 1502.843 6.090471 26.8725 1490.343 1515.342 a Hays
## 5 579 EA 1472.117 6.090471 26.8725 1459.618 1484.616 b Hays
## 6 579 NP 1464.123 6.090471 26.8725 1451.624 1476.623 b Hays
## 7 850 EA 1519.755 6.090471 26.8725 1507.256 1532.255 a Manhattan
## 8 850 NP 1374.281 6.090471 26.8725 1361.782 1386.781 b Manhattan
## 9 850 AG 1364.178 6.090471 26.8725 1351.678 1376.677 b Manhattan
## [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 0.3446
## [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 EA 0.4233481 0.1889066 26.87877 0.03566189 0.8110343 a
## 2 472 NP 0.3394918 0.1889066 26.87877 -0.04819445 0.7271780 a
## 3 472 AG 0.2294218 0.1889066 26.87877 -0.15826445 0.6171080 a
## 4 579 NP 2.9079069 0.1889066 26.87877 2.52022071 3.2955931 a
## 5 579 EA 1.5010137 0.1889066 26.87877 1.11332753 1.8886999 b
## 6 579 AG 0.7147885 0.1889066 26.87877 0.32710232 1.1024747 c
## 7 850 NP 2.6708041 0.1889066 26.87877 2.28311788 3.0584903 a
## 8 850 AG 1.1137894 0.1889066 26.87877 0.72610319 1.5014756 b
## 9 850 EA 0.5652306 0.1889066 26.87877 0.17754438 0.9529168 c
## location
## 1 Tribune
## 2 Tribune
## 3 Tribune
## 4 Hays
## 5 Hays
## 6 Hays
## 7 Manhattan
## 8 Manhattan
## 9 Manhattan
## [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 EA 0.4282920 0.1233687 27 0.17516042 0.6814235 a Tribune
## 2 472 NP 0.1417868 0.1233687 27 -0.11134478 0.3949183 a Tribune
## 3 472 AG 0.1281525 0.1233687 27 -0.12497902 0.3812841 a Tribune
## 4 579 NP 2.3942570 0.1233687 27 2.14112543 2.6473886 a Hays
## 5 579 EA 1.0410972 0.1233687 27 0.78796563 1.2942288 b Hays
## 6 579 AG 0.2698121 0.1233687 27 0.01668053 0.5229437 c Hays
## 7 850 NP 2.2606769 0.1233687 27 2.00754531 2.5138084 a Manhattan
## 8 850 AG 0.9357511 0.1233687 27 0.68261950 1.1888826 b Manhattan
## 9 850 EA 0.4261345 0.1233687 27 0.17300297 0.6792661 c Manhattan
## [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
## [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
## [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
## function (...) .Primitive("c")
## [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 0.27472 0.13736 2 29 3.5490 0.04181 *
## precip 0.84933 0.84933 1 29 21.9440 6.093e-05 ***
## landuse:precip 0.20333 0.10167 2 29 2.6268 0.08944 .
## ---
## 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 0.167393 0.083696 2 30 10.4425 0.0003614 ***
## precip 0.059303 0.059303 1 30 7.3990 0.0107502 *
## landuse:precip 0.121247 0.060623 2 30 7.5637 0.0021888 **
## ---
## 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 0.043897 0.0219486 2 24.084 5.9488 0.007951 **
## precip 0.009368 0.0093679 1 22.921 2.5390 0.124761
## landuse:precip 0.024428 0.0122141 2 24.084 3.3104 0.053681 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [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
## [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
## [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
## function (...) .Primitive("c")
## [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 0.70450 0.35225 2 19.881 2.5104 0.1066342
## precip 2.37101 2.37101 1 26.947 16.8976 0.0003311 ***
## landuse:precip 0.09917 0.04958 2 19.869 0.3534 0.7066455
## ---
## 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 0.50448 0.25224 2 21.840 6.3321 0.006778 **
## precip 2.35232 2.35232 1 27.859 59.0506 2.346e-08 ***
## landuse:precip 0.09064 0.04532 2 21.183 1.1377 0.339381
## ---
## 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 0.1601 0.0801 2 30 1.7019 0.1995
## precip 3.1848 3.1848 1 30 67.7004 3.483e-09 ***
## landuse:precip 0.0036 0.0018 2 30 0.0381 0.9627
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [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 ' ' 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 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
## [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
## 1 472 NP 0.1750 0.01049691 27 0.1534621 0.1965379 a Tribune
## 2 472 EA 0.1450 0.01049691 27 0.1234621 0.1665379 ab Tribune
## 3 472 AG 0.1400 0.01049691 27 0.1184621 0.1615379 b Tribune
## 4 579 NP 0.2225 0.01049691 27 0.2009621 0.2440379 a Hays
## 5 579 EA 0.1425 0.01049691 27 0.1209621 0.1640379 b Hays
## 6 579 AG 0.1225 0.01049691 27 0.1009621 0.1440379 b Hays
## 7 850 NP 0.2250 0.01049691 27 0.2034621 0.2465379 a Manhattan
## 8 850 AG 0.1625 0.01049691 27 0.1409621 0.1840379 b Manhattan
## 9 850 EA 0.1250 0.01049691 27 0.1034621 0.1465379 c Manhattan
## [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 ' ' 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 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
## 1 472 NP 2.5200 0.1173492 27 2.2792193 2.760781 a Tribune
## 2 472 AG 1.6675 0.1173492 27 1.4267193 1.908281 b Tribune
## 3 472 EA 1.4200 0.1173492 27 1.1792193 1.660781 b Tribune
## 4 579 NP 2.5925 0.1173492 27 2.3517193 2.833281 a Hays
## 5 579 EA 1.4525 0.1173492 27 1.2117193 1.693281 b Hays
## 6 579 AG 0.9900 0.1173492 27 0.7492193 1.230781 c Hays
## 7 850 NP 3.4125 0.1173492 27 3.1717193 3.653281 a Manhattan
## 8 850 AG 1.9625 0.1173492 27 1.7217193 2.203281 b Manhattan
## 9 850 EA 1.5225 0.1173492 27 1.2817193 1.763281 c Manhattan
## [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
## 1 472 NP 1.7600 0.118403 26.82631 1.5169835 2.003016 a Tribune
## 2 472 AG 1.3250 0.118403 26.82631 1.0819835 1.568016 b Tribune
## 3 472 EA 1.3000 0.118403 26.82631 1.0569835 1.543016 b Tribune
## 4 579 NP 2.1125 0.118403 26.82631 1.8694835 2.355516 a Hays
## 5 579 EA 1.2300 0.118403 26.82631 0.9869835 1.473016 b Hays
## 6 579 AG 0.9450 0.118403 26.82631 0.7019835 1.188016 b Hays
## 7 850 NP 2.9525 0.118403 26.82631 2.7094835 3.195516 a Manhattan
## 8 850 AG 1.8800 0.118403 26.82631 1.6369835 2.123016 b Manhattan
## 9 850 EA 1.3875 0.118403 26.82631 1.1444835 1.630516 c Manhattan
## [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
## 1 472 NP 2128.800 133.3251 27 1855.239 2402.361 a Tribune
## 2 472 EA 1548.825 133.3251 27 1275.264 1822.386 b Tribune
## 3 472 AG 1445.200 133.3251 27 1171.639 1718.761 b Tribune
## 4 579 NP 2885.750 133.3251 27 2612.189 3159.311 a Hays
## 5 579 AG 2632.950 133.3251 27 2359.389 2906.511 a Hays
## 6 579 EA 2224.500 133.3251 27 1950.939 2498.061 b Hays
## 7 850 AG 5797.475 133.3251 27 5523.914 6071.036 a Manhattan
## 8 850 NP 3245.700 133.3251 27 2972.139 3519.261 b Manhattan
## 9 850 EA 2859.800 133.3251 27 2586.239 3133.361 b Manhattan
## [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 NP 2225.350 136.5988 26.84412 1944.996 2505.704 a Tribune
## 2 472 EA 1700.125 136.5988 26.84412 1419.771 1980.479 b Tribune
## 3 472 AG 1610.475 136.5988 26.84412 1330.121 1890.829 b 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 NP 2934.275 136.5988 26.84412 2653.921 3214.629 b Manhattan
## 9 850 EA 2550.275 136.5988 26.84412 2269.921 2830.629 b Manhattan
## [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
## 1 472 AG 2595.875 269.431 27 2043.048 3148.702 a Tribune
## 2 472 NP 2381.250 269.431 27 1828.423 2934.077 a Tribune
## 3 472 EA 2115.500 269.431 27 1562.673 2668.327 a Tribune
## 4 579 AG 3058.025 269.431 27 2505.198 3610.852 a Hays
## 5 579 EA 2944.000 269.431 27 2391.173 3496.827 a Hays
## 6 579 NP 2586.000 269.431 27 2033.173 3138.827 a Hays
## 7 850 AG 4823.625 269.431 27 4270.798 5376.452 a Manhattan
## 8 850 NP 2733.550 269.431 27 2180.723 3286.377 b Manhattan
## 9 850 EA 2449.725 269.431 27 1896.898 3002.552 b Manhattan
## [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
## 1 472 EA 1.475 0.06718548 27 1.3371468 1.612853 a Tribune
## 2 472 AG 1.300 0.06718548 27 1.1621468 1.437853 a Tribune
## 3 472 NP 1.050 0.06718548 27 0.9121468 1.187853 b Tribune
## 4 579 EA 1.900 0.06718548 27 1.7621468 2.037853 a Hays
## 5 579 AG 1.550 0.06718548 27 1.4121468 1.687853 b Hays
## 6 579 NP 1.400 0.06718548 27 1.2621468 1.537853 b Hays
## 7 850 NP 1.550 0.06718548 27 1.4121468 1.687853 a Manhattan
## 8 850 EA 1.300 0.06718548 27 1.1621468 1.437853 b Manhattan
## 9 850 AG 1.250 0.06718548 27 1.1121468 1.387853 b Manhattan
## [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
## 1 472 AG 1.400 0.07713024 27 1.2417418 1.558258 a Tribune
## 2 472 EA 1.325 0.07713024 27 1.1667418 1.483258 a Tribune
## 3 472 NP 0.975 0.07713024 27 0.8167418 1.133258 b Tribune
## 4 579 EA 1.825 0.07713024 27 1.6667418 1.983258 a Hays
## 5 579 NP 1.500 0.07713024 27 1.3417418 1.658258 b Hays
## 6 579 AG 1.450 0.07713024 27 1.2917418 1.608258 b Hays
## 7 850 NP 1.650 0.07713024 27 1.4917418 1.808258 a Manhattan
## 8 850 EA 1.550 0.07713024 27 1.3917418 1.708258 a Manhattan
## 9 850 AG 1.150 0.07713024 27 0.9917418 1.308258 b Manhattan
## [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
## [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
## [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
## [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
## [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
## [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
## [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 0.6698
## function (...) .Primitive("c")
## [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 1.9658 0.9829 2 30 8.2622 0.0013855 **
## precip 5.6622 5.6622 1 30 47.5955 1.167e-07 ***
## landuse:precip 2.3822 1.1911 2 30 10.0123 0.0004667 ***
## ---
## 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 0.73645 0.36823 2 30 2.9824 0.06586 .
## precip 2.48313 2.48313 1 30 20.1118 9.938e-05 ***
## landuse:precip 1.09313 0.54657 2 30 4.4268 0.02067 *
## ---
## 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 0.17184 0.085919 2 30 0.5615 0.5762
## precip 0.23635 0.236351 1 30 1.5446 0.2236
## landuse:precip 0.13117 0.065583 2 30 0.4286 0.6553
## [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
## [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
## [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 6868.1 3434.0 2 25.879 6.4274 0.0054168 **
## precip 7963.3 7963.3 1 24.994 14.9046 0.0007083 ***
## landuse:precip 10154.4 5077.2 2 25.879 9.5029 0.0008044 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## function (...) .Primitive("c")
## [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 0.18675 0.09337 2 17.612 1.6027 0.2294
## precip 2.96662 2.96662 1 27.113 50.9206 1.103e-07 ***
## landuse:precip 0.23069 0.11535 2 17.612 1.9799 0.1676
## ---
## 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 0.6502 0.3251 2 30 2.4771 0.1010
## precip 5.5264 5.5264 1 30 42.1119 3.582e-07 ***
## landuse:precip 1.1598 0.5799 2 30 4.4189 0.0208 *
## ---
## 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 4.9461 2.4730 2 24.479 9.503 0.0008825 ***
## precip 8.7795 8.7795 1 24.103 33.736 5.381e-06 ***
## landuse:precip 6.4365 3.2182 2 24.479 12.367 0.0001941 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [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
## [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
## [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
## function (...) .Primitive("c")
## [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 2.6248 1.31238 2 22.029 4.0362 0.032101 *
## precip 0.0258 0.02582 1 25.488 0.0794 0.780367
## landuse:precip 5.1732 2.58660 2 22.029 7.9551 0.002509 **
## ---
## 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 6.1486 3.0743 2 30 3.2986 0.05071 .
## precip 23.6475 23.6475 1 30 25.3730 2.098e-05 ***
## landuse:precip 7.6806 3.8403 2 30 4.1205 0.02624 *
## ---
## 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 5.0455 2.5227 2 22.030 7.3776 0.0035270 **
## precip 0.1243 0.1243 1 25.773 0.3634 0.5518766
## landuse:precip 7.7727 3.8863 2 22.030 11.3654 0.0004061 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [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
## [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
## [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
## function (...) .Primitive("c")
## [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 5.722 2.861 2 30 9.9069 0.0004973 ***
## precip 39.911 39.911 1 30 138.2090 9.302e-13 ***
## landuse:precip 6.430 3.215 2 30 11.1326 0.0002419 ***
## ---
## 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 2.353 1.177 2 30 5.6981 0.007987 **
## precip 45.499 45.499 1 30 220.3300 2.316e-15 ***
## landuse:precip 2.808 1.404 2 30 6.7998 0.003669 **
## ---
## 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 1.270 0.635 2 30 3.5712 0.04062 *
## precip 43.675 43.675 1 30 245.7125 5.409e-16 ***
## landuse:precip 1.556 0.778 2 30 4.3767 0.02149 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [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 0.5594
## [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 0.3163
## [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 ' ' 1
## function (...) .Primitive("c")
## [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 0.28547 0.142736 2 30 2.8620 0.07285 .
## precip 0.08426 0.084260 1 30 1.6895 0.20356
## landuse:precip 0.11955 0.059778 2 30 1.1986 0.31564
## ---
## 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 0.095955 0.047977 2 30 1.7297 0.1946
## precip 0.060541 0.060541 1 30 2.1827 0.1500
## landuse:precip 0.086563 0.043281 2 30 1.5604 0.2266
## [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 0.071159 0.035580 2 20.706 2.8258 0.08221 .
## precip 0.018298 0.018298 1 23.084 1.4533 0.24021
## landuse:precip 0.070124 0.035062 2 20.706 2.7847 0.08491 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [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
## [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
## [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
## function (...) .Primitive("c")
## [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 2.5850 1.29252 2 30 16.5234 1.452e-05 ***
## precip 0.2069 0.20687 1 30 2.6446 0.1144
## landuse:precip 4.6526 2.32631 2 30 29.7392 7.604e-08 ***
## ---
## 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 5.3158 2.6579 2 24.394 25.858 9.392e-07 ***
## precip 0.6818 0.6818 1 29.987 6.633 0.01518 *
## landuse:precip 7.9518 3.9759 2 23.794 38.681 3.330e-08 ***
## ---
## 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 2.8847 1.4424 2 23.478 8.0877 0.0021280 **
## precip 5.8035 5.8035 1 23.083 32.5416 8.164e-06 ***
## landuse:precip 4.3114 2.1557 2 23.478 12.0875 0.0002461 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [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
## 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
## 1 472 NP 6.050 0.149691 27 5.742859 6.357141 a Tribune
## 2 472 AG 5.300 0.149691 27 4.992859 5.607141 b Tribune
## 3 472 EA 5.175 0.149691 27 4.867859 5.482141 b Tribune
## 4 579 NP 6.275 0.149691 27 5.967859 6.582141 a Hays
## 5 579 EA 5.850 0.149691 27 5.542859 6.157141 ab Hays
## 6 579 AG 5.750 0.149691 27 5.442859 6.057141 b Hays
## 7 850 AG 7.900 0.149691 27 7.592859 8.207141 a Manhattan
## 8 850 NP 6.525 0.149691 27 6.217859 6.832141 b Manhattan
## 9 850 EA 6.225 0.149691 27 5.917859 6.532141 b Manhattan
## [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
## 1 472 NP 6.250 0.2030546 21.51346 5.828338 6.671662 a Tribune
## 2 472 EA 5.825 0.2030546 21.51346 5.403338 6.246662 ab Tribune
## 3 472 AG 5.600 0.2030546 21.51346 5.178338 6.021662 b Tribune
## 4 579 EA 6.450 0.2030546 21.51346 6.028338 6.871662 a Hays
## 5 579 NP 6.350 0.2030546 21.51346 5.928338 6.771662 ab Hays
## 6 579 AG 5.925 0.2030546 21.51346 5.503338 6.346662 b Hays
## 7 850 AG 7.925 0.2030546 21.51346 7.503338 8.346662 a Manhattan
## 8 850 NP 6.250 0.2030546 21.51346 5.828338 6.671662 b Manhattan
## 9 850 EA 5.775 0.2030546 21.51346 5.353338 6.196662 b Manhattan
## [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
## 1 472 NP 7.000 0.2346744 24.07352 6.515734 7.484266 a Tribune
## 2 472 EA 6.600 0.2346744 24.07352 6.115734 7.084266 a Tribune
## 3 472 AG 6.600 0.2346744 24.07352 6.115734 7.084266 a Tribune
## 4 579 EA 6.900 0.2346744 24.07352 6.415734 7.384266 a Hays
## 5 579 NP 6.525 0.2346744 24.07352 6.040734 7.009266 ab Hays
## 6 579 AG 6.150 0.2346744 24.07352 5.665734 6.634266 b Hays
## 7 850 AG 7.425 0.2346744 24.07352 6.940734 7.909266 a Manhattan
## 8 850 NP 6.200 0.2346744 24.07352 5.715734 6.684266 b Manhattan
## 9 850 EA 5.700 0.2346744 24.07352 5.215734 6.184266 b Manhattan
## [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
## 1 472 NP 23.094419 1.977066 27 19.037815 27.15102 a Tribune
## 2 472 EA 18.477766 1.977066 27 14.421162 22.53437 a Tribune
## 3 472 AG 7.993733 1.977066 27 3.937129 12.05034 b Tribune
## 4 579 NP 13.403599 1.977066 27 9.346995 17.46020 a Hays
## 5 579 EA 11.511773 1.977066 27 7.455169 15.56838 a Hays
## 6 579 AG 9.902225 1.977066 27 5.845620 13.95883 a Hays
## 7 850 NP 47.419133 1.977066 27 43.362528 51.47574 a Manhattan
## 8 850 AG 26.845140 1.977066 27 22.788536 30.90174 b Manhattan
## 9 850 EA 14.150962 1.977066 27 10.094358 18.20757 c Manhattan
## [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
## 1 472 EA 22.68240 1.385125 27 19.84036 25.52444 a Tribune
## 2 472 NP 20.32969 1.385125 27 17.48765 23.17174 a Tribune
## 3 472 AG 19.80959 1.385125 27 16.96755 22.65163 a Tribune
## 4 579 EA 19.80418 1.385125 27 16.96214 22.64623 a Hays
## 5 579 AG 16.44994 1.385125 27 13.60790 19.29198 ab Hays
## 6 579 NP 13.35845 1.385125 27 10.51641 16.20050 b Hays
## 7 850 NP 38.21451 1.385125 27 35.37247 41.05655 a Manhattan
## 8 850 AG 24.50495 1.385125 27 21.66290 27.34699 b Manhattan
## 9 850 EA 18.62572 1.385125 27 15.78368 21.46776 c Manhattan
## [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
## 1 472 AG 24.15175 1.224351 27 21.63959 26.66391 a Tribune
## 2 472 EA 24.13344 1.224351 27 21.62127 26.64560 a Tribune
## 3 472 NP 17.83541 1.224351 27 15.32325 20.34758 b Tribune
## 4 579 EA 22.58671 1.224351 27 20.07455 25.09887 a Hays
## 5 579 AG 21.08764 1.224351 27 18.57548 23.59981 a Hays
## 6 579 NP 13.68315 1.224351 27 11.17098 16.19531 b Hays
## 7 850 NP 34.41712 1.224351 27 31.90496 36.92928 a Manhattan
## 8 850 AG 24.44505 1.224351 27 21.93288 26.95721 b Manhattan
## 9 850 EA 19.65619 1.224351 27 17.14402 22.16835 c Manhattan
## [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
## [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
## [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
## [1] "natural log"
## [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 0.017841 0.0089206 2 22.868 49.422 4.985e-09 ***
## precip 0.008716 0.0087161 1 23.368 48.289 4.026e-07 ***
## landuse:precip 0.036219 0.0181094 2 22.868 100.329 4.776e-12 ***
## ---
## 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 0.017841 0.008921 2 30 4.0815 0.027050 *
## precip 0.147685 0.147685 1 30 67.5722 3.553e-09 ***
## landuse:precip 0.036219 0.018109 2 30 8.2858 0.001365 **
## ---
## 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 0.181244 0.090622 2 30 12.610 0.000106 ***
## precip 0.086866 0.086866 1 30 12.087 0.001571 **
## landuse:precip 0.209133 0.104567 2 30 14.550 3.828e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [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 ' ' 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 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
## [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
## function (...) .Primitive("c")
## [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 0.060137 0.0300684 2 30 2.9226 0.06924 .
## precip 0.000008 0.0000083 1 30 0.0008 0.97749
## landuse:precip 0.031352 0.0156760 2 30 1.5237 0.23429
## ---
## 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 0.159537 0.079768 2 30 8.2602 0.001387 **
## precip 0.005053 0.005053 1 30 0.5233 0.475051
## landuse:precip 0.094247 0.047123 2 30 4.8797 0.014629 *
## ---
## 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 0.106866 0.053433 2 21.66 11.6764 0.0003627 ***
## precip 0.005291 0.005291 1 27.29 1.1563 0.2916543
## landuse:precip 0.029561 0.014781 2 21.66 3.2299 0.0592062 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [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 ' ' 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 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
## [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
## function (...) .Primitive("c")
## [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 0.64726 0.32363 2 30 2.1407 0.1352
## precip 0.10429 0.10429 1 30 0.6898 0.4128
## landuse:precip 0.48888 0.24444 2 30 1.6169 0.2153
## [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 2.1452 1.07261 2 30 8.0973 0.001542 **
## precip 0.0638 0.06380 1 30 0.4816 0.493038
## landuse:precip 1.0203 0.51013 2 30 3.8510 0.032461 *
## ---
## 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 1.28476 0.64238 2 19.249 10.0436 0.00103 **
## precip 0.01512 0.01512 1 27.831 0.2364 0.63065
## landuse:precip 0.40826 0.20413 2 19.249 3.1916 0.06352 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [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 3.94 1.97 2 23.092 0.0803 0.923113
## precip 341.74 341.74 1 24.299 13.9426 0.001013 **
## landuse:precip 62.02 31.01 2 23.092 1.2652 0.301037
## ---
## 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 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 0.1483
## [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 0.5899
## function (...) .Primitive("c")
## [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 0.05170 0.02585 2 22.977 0.4960 0.615349
## precip 0.51807 0.51807 1 24.917 9.9398 0.004182 **
## landuse:precip 0.05467 0.02733 2 22.977 0.5244 0.598801
## ---
## 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 0.60901 0.30451 2 30 1.8762 0.1707
## precip 0.15543 0.15543 1 30 0.9576 0.3356
## landuse:precip 0.79190 0.39595 2 30 2.4396 0.1043
## [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 0.38261 0.19130 2 24.375 2.0485 0.15054
## precip 0.42734 0.42734 1 28.702 4.5760 0.04106 *
## landuse:precip 0.17359 0.08680 2 24.375 0.9294 0.40832
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [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 0.3233
## function (...) .Primitive("c")
## [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 0.309159 0.154580 2 24.294 2.1950 0.1330
## precip 0.014643 0.014643 1 23.593 0.2079 0.6526
## landuse:precip 0.104474 0.052237 2 24.294 0.7418 0.4867
## [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 0.56122 0.280610 2 27.219 3.1677 0.05797 .
## precip 0.00188 0.001883 1 29.966 0.0213 0.88507
## landuse:precip 0.49259 0.246295 2 26.875 2.7803 0.07989 .
## ---
## 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 0.230347 0.115173 2 30 0.7312 0.4897
## precip 0.004269 0.004269 1 30 0.0271 0.8703
## landuse:precip 0.284333 0.142167 2 30 0.9026 0.4162
## [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 0.7268
## function (...) .Primitive("c")
## [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 0.106686 0.053343 2 30 1.2644 0.29702
## precip 0.133321 0.133321 1 30 3.1602 0.08559 .
## landuse:precip 0.017007 0.008503 2 30 0.2016 0.81855
## ---
## 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 0.36605 0.183023 2 30 3.4747 0.04392 *
## precip 0.04118 0.041181 1 30 0.7818 0.38361
## landuse:precip 0.09286 0.046428 2 30 0.8815 0.42463
## ---
## 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 0.238546 0.119273 2 30 1.7265 0.1951
## precip 0.059379 0.059379 1 30 0.8595 0.3613
## landuse:precip 0.034691 0.017345 2 30 0.2511 0.7796
## [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 0.16741 0.08371 2 20.580 0.4895 0.6199
## precip 0.43517 0.43517 1 28.778 2.5449 0.1216
## landuse:precip 0.44009 0.22005 2 20.580 1.2869 0.2974
## [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 1.44609 0.72305 2 21.868 3.5546 0.04606 *
## precip 0.00573 0.00573 1 26.971 0.0282 0.86801
## landuse:precip 0.13294 0.06647 2 21.277 0.3268 0.72480
## ---
## 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 0.17090 0.08545 2 18.602 0.3335 0.7206
## precip 0.60384 0.60384 1 18.081 2.3568 0.1421
## landuse:precip 0.13578 0.06789 2 18.602 0.2650 0.7701
## [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 25.486 12.743 2 17.893 0.1477 0.8637
## precip 144.368 144.368 1 29.716 1.6734 0.2058
## landuse:precip 138.516 69.258 2 17.893 0.8028 0.4636
## [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 262.953 131.477 2 20.208 1.5236 0.2419
## precip 0.614 0.614 1 28.249 0.0071 0.9334
## landuse:precip 17.133 8.566 2 19.442 0.0993 0.9060
## [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 204.601 102.300 2 30 0.9953 0.3815
## precip 90.142 90.142 1 30 0.8770 0.3565
## landuse:precip 184.757 92.379 2 30 0.8988 0.4177
## function (...) .Primitive("c")
## [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 0.08897 0.04448 2 30 0.1824 0.8341
## precip 0.08931 0.08931 1 30 0.3663 0.5496
## landuse:precip 0.65263 0.32631 2 30 1.3383 0.2775
## [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 0.60278 0.30139 2 17.829 1.4588 0.2590
## precip 0.18603 0.18603 1 29.187 0.9004 0.3505
## landuse:precip 0.42991 0.21495 2 16.975 1.0404 0.3748
## [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 0.49414 0.24707 2 30 0.8954 0.4191
## precip 0.41720 0.41720 1 30 1.5120 0.2284
## landuse:precip 0.41178 0.20589 2 30 0.7462 0.4828
## [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 3.94 1.97 2 23.092 0.0803 0.923113
## precip 341.74 341.74 1 24.299 13.9426 0.001013 **
## landuse:precip 62.02 31.01 2 23.092 1.2652 0.301037
## ---
## 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 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 0.1483
## [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 0.5899
## function (...) .Primitive("c")
## [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 0.05170 0.02585 2 22.977 0.4960 0.615349
## precip 0.51807 0.51807 1 24.917 9.9398 0.004182 **
## landuse:precip 0.05467 0.02733 2 22.977 0.5244 0.598801
## ---
## 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 0.60901 0.30451 2 30 1.8762 0.1707
## precip 0.15543 0.15543 1 30 0.9576 0.3356
## landuse:precip 0.79190 0.39595 2 30 2.4396 0.1043
## [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 0.38261 0.19130 2 24.375 2.0485 0.15054
## precip 0.42734 0.42734 1 28.702 4.5760 0.04106 *
## landuse:precip 0.17359 0.08680 2 24.375 0.9294 0.40832
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [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 45.748 22.874 2 24.548 0.3194 0.7296
## precip 114.908 114.908 1 23.550 1.6044 0.2177
## landuse:precip 188.411 94.206 2 24.548 1.3153 0.2866
## [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 1030.38 515.19 2 27.693 6.1854 0.006015 **
## precip 2384.34 2384.34 1 30.000 28.6266 8.661e-06 ***
## landuse:precip 742.17 371.09 2 27.353 4.4553 0.021140 *
## ---
## 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 181.59 90.80 2 30 0.5894 0.560970
## precip 1344.57 1344.57 1 30 8.7277 0.006045 **
## landuse:precip 21.70 10.85 2 30 0.0704 0.932147
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## function (...) .Primitive("c")
## [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 0.00423 0.002115 2 30 0.0239 0.9764
## precip 0.23393 0.233933 1 30 2.6407 0.1146
## landuse:precip 0.36298 0.181490 2 30 2.0487 0.1466
## [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 0.59609 0.29805 2 30 3.8148 0.03341 *
## precip 2.86852 2.86852 1 30 36.7155 1.181e-06 ***
## landuse:precip 0.68207 0.34103 2 30 4.3651 0.02168 *
## ---
## 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 0.07433 0.03717 2 30 0.2268 0.798460
## precip 1.52502 1.52502 1 30 9.3050 0.004746 **
## landuse:precip 0.00635 0.00318 2 30 0.0194 0.980815
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [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 11.504 5.752 2 30 0.1633 0.85008
## precip 108.763 108.763 1 30 3.0879 0.08908 .
## landuse:precip 5.499 2.749 2 30 0.0781 0.92510
## ---
## 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 30.773 15.387 2 22.826 4.0730 0.03071 *
## precip 243.082 243.082 1 25.455 64.3453 1.962e-08 ***
## landuse:precip 16.505 8.252 2 22.467 2.1844 0.13586
## ---
## 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 6.022 3.011 2 21.422 0.9562 0.4002
## precip 168.705 168.705 1 26.991 53.5781 7.145e-08 ***
## landuse:precip 6.465 3.233 2 21.422 1.0266 0.3752
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## function (...) .Primitive("c")
## [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 0.11786 0.05893 2 30 0.3942 0.677673
## precip 1.33738 1.33738 1 30 8.9457 0.005514 **
## landuse:precip 0.21808 0.10904 2 30 0.7294 0.490571
## ---
## 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 0.20095 0.10047 2 21.861 1.6924 0.2073
## precip 2.72769 2.72769 1 27.710 45.9462 2.445e-07 ***
## landuse:precip 0.16265 0.08133 2 21.215 1.3699 0.2757
## ---
## 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 0.15263 0.07632 2 20.772 1.9679 0.16495
## precip 2.21443 2.21443 1 28.214 57.1017 2.978e-08 ***
## landuse:precip 0.24548 0.12274 2 20.772 3.1649 0.06312 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [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 2093.8 1046.87 2 18.889 21.3706 1.411e-05 ***
## precip 53.8 53.80 1 27.343 1.0983 0.3038046
## landuse:precip 1167.9 583.95 2 18.982 11.9206 0.0004431 ***
## ---
## 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 1251.63 625.82 2 29 7.6618 0.0021309 **
## precip 1529.48 1529.48 1 29 18.7253 0.0001635 ***
## landuse:precip 928.86 464.43 2 29 5.6860 0.0082531 **
## ---
## 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 207.53 103.76 2 16.542 1.0882 0.359743
## precip 1155.97 1155.97 1 18.062 12.1235 0.002651 **
## landuse:precip 744.85 372.43 2 16.542 3.9059 0.040800 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [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 ' ' 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 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
## [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 0.3813
## [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 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
## [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 0.2593
## [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 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
## function (...) .Primitive("c")
## [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 0.202409 0.101205 2 27 22.9987 1.475e-06 ***
## precip 0.071087 0.035544 2 27 8.0773 0.001781 **
## landuse:precip 0.108997 0.027249 4 27 6.1924 0.001138 **
## ---
## 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 0.102732 0.051366 2 27 13.4444 8.875e-05 ***
## precip 0.163367 0.081683 2 27 21.3797 2.721e-06 ***
## landuse:precip 0.077402 0.019350 4 27 5.0647 0.003545 **
## ---
## 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 0.07008 0.035042 2 22.339 8.7260 0.001583 **
## precip 0.34671 0.173357 2 11.837 43.1681 3.65e-06 ***
## landuse:precip 0.02183 0.005457 4 22.339 1.3588 0.279796
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
1.6 Comments