TPA Timeseries Statistics for Whitebark Pine SARA

Source: FVS modeled outputs

SARA Value Metric: Whitebark Pine Trees per Acre (Tpa)

Wbp.29=FVS%>%
  filter(Species=="PIAL")%>% #restrict StdStk table to WbP species only
  filter(Year==2029)%>% #Year 2029 is the SARA value year
  filter(LiveTpa>5) #filter 2029 StdStk table by SARA value definition (>5 Tpa)

Wbp.35=FVS%>%
  filter(Species=="PIAL")%>% #grab a 2035 snapshot for visualization
  filter(Year==2035)

Wbp=FVS%>%
  filter(Species=="PIAL")%>%
  filter(Year>2019)%>%
  filter(Year<2050)%>%
  filter(StandID %in% Wbp.29$StandID)%>%
  group_by(CaseID)%>%
  mutate(dTpa=LiveTpa-LiveTpa[4])%>%
  mutate(pDeltaTpa = dTpa/LiveTpa[4])

Wbp.S = Wbp %>%
  group_by(MgmtID, Year, LiveTpa) %>%
  summarise()


head(Wbp)%>%
  kbl()%>%
  kable_minimal()
MgmtID StandID Year Species DBHClass LiveTpa MrtTPA HrvTPA RsdTPA LiveBA MrtBA HrvBA RsdBA LiveTCuFt MrtTCuFt HrvTCuFt RsdTCuFt LiveMCuFt MrtMCuFt HrvMCuFt RsdMCuFt LiveBdFt MrtBdFt HrvBdFt RsdBdFt RunTitle CaseID dTpa pDeltaTpa
CMCC 10513 2025 PIAL All 23.30804 0.3538850 0 23.30804 20.85810 0.2799503 0 20.85810 455.5582 5.9491976 0 455.5582 450.2285 5.8767860 0 450.2285 2396.320 30.797997 0 2396.320 Mechanical Clearcut (CMCC) 1 4511ec67-9af4-47d8-b35d-2bddb8397a98 0.4557459 0.0199431
CMCC 10513 2029 PIAL All 22.95957 0.3484694 0 22.95957 22.19158 0.3005502 0 22.19158 488.3684 6.4419498 0 488.3684 476.2163 6.2734580 0 476.2163 2606.046 33.824861 0 2606.046 Mechanical Clearcut (CMCC) 1 4511ec67-9af4-47d8-b35d-2bddb8397a98 0.1072765 0.0046943
CMCC 10513 2030 PIAL All 22.87331 0.0862572 0 22.87331 22.49967 0.0757507 0 22.49967 495.8381 1.6253898 0 495.8381 483.4164 1.5798903 0 483.4164 2642.762 8.500325 0 2642.762 Mechanical Clearcut (CMCC) 1 4511ec67-9af4-47d8-b35d-2bddb8397a98 0.0210194 0.0009198
CMCC 10513 2031 PIAL All 22.85229 0.0210194 0 22.85229 23.05260 0.0160744 0 23.05260 508.6741 0.3343615 0 508.6741 500.3529 0.3292578 0 500.3529 2724.836 1.726479 0 2724.836 Mechanical Clearcut (CMCC) 1 4511ec67-9af4-47d8-b35d-2bddb8397a98 0.0000000 0.0000000
CMCC 10513 2035 PIAL All 22.76833 0.0839580 0 22.76833 25.26712 0.0714898 0 25.26712 560.4919 1.4955262 0 560.4919 546.1117 1.4490127 0 546.1117 3024.594 7.734826 0 3024.594 Mechanical Clearcut (CMCC) 1 4511ec67-9af4-47d8-b35d-2bddb8397a98 -0.0839580 -0.0036739
CMCC 10513 2036 PIAL All 22.74728 0.0210532 0 22.74728 25.82911 0.0183441 0 25.82911 573.5971 0.3841275 0 573.5971 563.0073 0.3739107 0 563.0073 3138.175 1.999429 0 3138.175 Mechanical Clearcut (CMCC) 1 4511ec67-9af4-47d8-b35d-2bddb8397a98 -0.1050111 -0.0045952

Pre-Treatment SARA Value

(2029 for modeling purposes)

asp.plot=plot_ly(data = Wbp.29, y = ~ LiveTpa, x = ~ MgmtID, type = 'box', color = ~ MgmtID)%>%
  layout(title='Whitebark Pine Live Tpa Value Pre-Treatment (2029)')
  
asp.plot

Stand Dynamics: TPA vs BA

w = Wbp%>%
  filter(MgmtID=='CMCC')

asp.plot=plot_ly(data = w, y = ~ LiveTpa, x = ~ Year, type = 'box', color = ~ MgmtID)%>%
  layout(title='Timeseries: Whitebark Pine Live Tpa Value for Clearcut Treatment')
  
asp.plot
asp.plot=plot_ly(data = w, y = ~ LiveBA, x = ~ Year, type = 'box', color = ~ MgmtID)%>%
  layout(title='Timeseries: Whitebark Pine Live BA Value for Clearcut Treatment')
  
asp.plot

Calculate Whitebark Pine Response Functions

Modeled timeseries assumptions & formatting:

  • Statistic: mean live Tpa for Whitebark Pine (Species=="PIAL")
  • Precision: 3 decimal places for quantitative (modeled) response functions
  • ‘Year 0’ : 2025
  • SARA base value : 2029
  • Treatment year: 2030
  • Treatment effects response function year: 2035

T&E Status & Harvest Parameters

Given the listed status of Whitebark pine, regulation prohibits the harvest of these species. Thus all FVS runs excluded whitebark pine from cut lists. The signal of all response functions are the result of mortality following treatment activities, and/or natural mortality (e.g. mortality following mastication even though whitebark pine trees themselves were not masticated).

Treatments show a positive affect for Live BA in WbP, but a negative effect in Live TPA. Given our static SARA value (2029) any loss in individual WbP trees (even due to natural mortality) in years 2030-2035 propagates as a loss in SARA value.

Calculate Summary Statistics & View Timeseries Data

t = get_summary_stats(Wbp.S)


t %>%
  kbl()%>%
  kable_minimal()
MgmtID Year variable n min max median q1 q3 iqr mad mean sd se ci
CMCC 2025 LiveTpa 985 0.000 1496.266 72.434 17.788 168.055 150.267 89.897 137.696 190.927 6.083 11.938
CMCC 2029 LiveTpa 984 0.806 1377.098 65.353 16.805 160.218 143.413 82.067 129.032 180.088 5.741 11.266
CMCC 2030 LiveTpa 984 0.679 1313.679 63.809 15.945 155.678 139.732 80.601 126.205 176.134 5.615 11.019
CMCC 2031 LiveTpa 394 0.928 1030.397 65.460 17.273 159.088 141.814 86.935 127.627 167.737 8.450 16.614
CMCC 2035 LiveTpa 394 0.928 982.915 65.253 17.220 158.603 141.383 86.691 125.668 161.409 8.132 15.987
CMCC 2036 LiveTpa 394 0.928 965.724 65.201 17.206 158.482 141.276 86.629 124.951 159.186 8.020 15.767
CMCC 2040 LiveTpa 394 0.920 925.823 64.993 17.152 157.997 140.845 86.384 122.762 152.756 7.696 15.130
CMCC 2045 LiveTpa 394 0.902 782.697 64.673 17.084 157.393 140.309 85.987 119.715 144.102 7.260 14.273
CMUR 2025 LiveTpa 340 5.359 1140.978 72.062 17.800 164.570 146.770 89.361 126.784 166.167 9.012 17.726
CMUR 2029 LiveTpa 340 5.120 1069.748 65.313 17.557 152.381 134.824 80.506 119.864 154.832 8.397 16.517
CMUR 2030 LiveTpa 340 5.018 1047.170 64.804 17.365 148.654 131.289 80.035 117.637 151.416 8.212 16.152
CMUR 2031 LiveTpa 340 5.001 1032.135 64.356 17.330 148.440 131.110 79.422 116.998 150.081 8.139 16.010
CMUR 2035 LiveTpa 340 4.932 986.688 63.939 17.191 147.839 130.648 78.581 114.868 144.810 7.853 15.448
CMUR 2036 LiveTpa 340 4.914 949.740 63.831 17.155 147.726 130.570 78.475 113.953 142.265 7.715 15.176
CMUR 2040 LiveTpa 340 4.844 823.330 63.396 16.970 147.272 130.302 77.709 111.219 135.470 7.347 14.451
CMUR 2045 LiveTpa 340 4.674 778.793 62.846 16.591 146.009 129.418 76.986 107.513 127.928 6.938 13.647
HCTA 2025 LiveTpa 744 0.000 1496.266 72.328 17.840 182.136 164.296 90.066 142.359 196.596 7.208 14.150
HCTA 2029 LiveTpa 743 0.806 1377.098 69.208 17.353 167.547 150.194 86.669 134.812 185.761 6.815 13.379
HCTA 2030 LiveTpa 743 0.679 1313.679 68.202 16.960 162.421 145.461 86.519 132.241 181.770 6.668 13.091
HCTA 2031 LiveTpa 743 0.582 1272.637 65.497 16.788 161.042 144.254 84.634 130.250 178.966 6.566 12.889
HCTA 2035 LiveTpa 742 0.000 1198.652 63.573 15.288 150.657 135.369 82.189 123.535 170.111 6.245 12.260
HCTA 2036 LiveTpa 741 0.138 1155.259 62.294 14.910 148.979 134.069 79.949 121.382 166.852 6.129 12.033
HCTA 2040 LiveTpa 741 0.000 1088.151 58.074 12.821 142.076 129.255 76.019 114.655 158.587 5.826 11.437
HCTA 2045 LiveTpa 740 0.000 1005.496 52.268 11.436 129.095 117.659 68.619 106.260 147.933 5.438 10.676
HERB 2025 LiveTpa 988 0.000 1496.266 72.393 17.789 168.278 150.489 89.821 138.447 193.036 6.141 12.052
HERB 2029 LiveTpa 987 0.806 1377.098 65.176 16.883 160.379 143.496 81.814 129.734 182.016 5.794 11.369
HERB 2030 LiveTpa 987 0.679 1313.679 63.745 16.052 155.864 139.813 80.297 126.891 178.007 5.666 11.119
HERB 2031 LiveTpa 987 0.582 1272.637 62.364 15.316 152.200 136.883 78.797 124.679 175.131 5.574 10.939
HERB 2035 LiveTpa 986 0.000 1198.652 56.307 12.068 146.130 134.062 73.839 117.343 166.238 5.294 10.389
HERB 2036 LiveTpa 985 0.103 1155.259 54.126 11.866 141.967 130.101 71.309 114.947 162.790 5.187 10.179
HERB 2040 LiveTpa 984 0.000 1088.151 50.934 11.200 134.820 123.619 66.942 108.129 154.501 4.925 9.665
HERB 2045 LiveTpa 977 0.000 1005.496 46.200 9.893 124.277 114.384 60.121 100.198 144.084 4.610 9.046
MRCT 2025 LiveTpa 618 0.000 1247.261 79.488 19.640 209.892 190.253 101.469 154.708 197.861 7.959 15.630
MRCT 2029 LiveTpa 617 0.806 1186.833 72.475 17.176 193.559 176.384 93.749 142.480 186.688 7.516 14.760
MRCT 2030 LiveTpa 617 0.679 1170.509 69.668 16.232 185.853 169.621 90.860 138.576 182.833 7.361 14.455
MRCT 2031 LiveTpa 617 0.667 1160.492 69.287 15.631 185.438 169.807 90.679 137.680 181.806 7.319 14.374
MRCT 2035 LiveTpa 617 0.549 1133.803 67.219 14.752 181.005 166.253 88.521 133.682 177.408 7.142 14.026
MRCT 2036 LiveTpa 617 0.436 1123.942 65.799 14.130 177.540 163.410 86.741 131.761 175.235 7.055 13.854
MRCT 2040 LiveTpa 616 0.000 1099.558 62.770 12.794 169.624 156.830 83.823 126.839 169.740 6.839 13.431
MRCT 2045 LiveTpa 615 0.093 1069.090 58.375 11.331 159.208 147.877 78.105 120.543 162.427 6.550 12.862
MTTH 2025 LiveTpa 173 5.359 1140.978 114.940 29.773 287.287 257.514 145.063 183.690 208.003 15.814 31.215
MTTH 2029 LiveTpa 173 5.120 1069.748 106.013 29.602 263.817 234.215 132.474 171.543 193.466 14.709 29.033
MTTH 2030 LiveTpa 173 5.018 1047.170 104.007 28.944 258.159 229.215 129.815 167.689 189.145 14.380 28.385
MTTH 2031 LiveTpa 173 4.925 1030.902 103.833 28.036 256.224 228.188 129.702 166.370 187.330 14.242 28.112
MTTH 2035 LiveTpa 173 4.672 977.602 102.189 26.047 252.464 226.417 127.726 160.019 178.565 13.576 26.797
MTTH 2036 LiveTpa 173 4.581 964.674 101.313 25.755 252.104 226.348 126.632 157.822 175.975 13.379 26.408
MTTH 2040 LiveTpa 173 4.374 848.656 97.096 24.064 241.430 217.366 121.663 150.686 165.915 12.614 24.899
MTTH 2045 LiveTpa 173 3.032 771.767 89.121 22.913 228.216 205.303 113.562 141.042 154.927 11.779 23.250
RMGP 2025 LiveTpa 385 5.359 1183.188 73.405 17.966 187.174 169.209 91.356 143.768 192.602 9.816 19.300
RMGP 2029 LiveTpa 385 5.120 1069.748 71.523 17.933 168.283 150.350 88.760 136.287 179.758 9.161 18.013
RMGP 2030 LiveTpa 385 5.018 1047.170 70.938 17.924 166.702 148.779 87.912 133.850 175.660 8.952 17.602
RMGP 2031 LiveTpa 385 4.952 953.618 64.581 17.914 154.894 136.979 79.344 123.696 159.748 8.141 16.007
RMGP 2035 LiveTpa 385 4.538 890.154 63.709 17.843 147.784 129.941 78.413 118.344 152.209 7.757 15.252
RMGP 2036 LiveTpa 385 4.369 844.378 62.704 17.832 145.502 127.670 76.301 116.100 148.485 7.567 14.879
RMGP 2040 LiveTpa 385 3.777 784.424 59.041 17.153 137.059 119.906 71.168 109.567 138.500 7.059 13.878
RMGP 2045 LiveTpa 385 2.535 741.658 55.199 15.891 124.015 108.124 65.831 101.199 126.961 6.471 12.722
RMMA 2025 LiveTpa 581 0.000 1247.261 67.027 16.831 150.612 133.781 82.398 122.405 175.745 7.291 14.320
RMMA 2029 LiveTpa 580 0.806 1186.833 55.879 12.808 141.281 128.473 70.189 113.059 166.457 6.912 13.575
RMMA 2030 LiveTpa 580 0.679 1170.509 52.480 12.309 137.825 125.516 67.082 110.088 163.072 6.771 13.299
RMMA 2031 LiveTpa 580 0.667 1160.348 52.152 12.225 137.202 124.978 66.766 109.415 162.068 6.730 13.217
RMMA 2035 LiveTpa 580 0.626 1135.341 51.159 11.942 134.391 122.448 65.771 107.408 158.524 6.582 12.928
RMMA 2036 LiveTpa 580 0.598 1126.142 50.395 11.841 133.683 121.842 65.672 106.662 156.887 6.514 12.795
RMMA 2040 LiveTpa 580 0.514 1103.287 49.096 11.587 131.101 119.513 64.002 104.464 153.007 6.353 12.478
RMMA 2045 LiveTpa 580 0.268 1074.578 47.163 11.298 127.115 115.817 61.350 101.488 147.931 6.142 12.064
RMTF 2025 LiveTpa 995 0.000 1496.266 72.352 17.775 168.501 150.726 89.794 138.607 193.065 6.121 12.011
RMTF 2029 LiveTpa 996 0.806 1377.098 64.923 16.776 160.218 143.442 81.428 129.652 182.009 5.767 11.317
RMTF 2030 LiveTpa 997 0.679 1313.679 63.439 15.811 156.238 140.427 79.844 127.674 180.025 5.701 11.188
RMTF 2031 LiveTpa 997 0.582 1272.637 60.710 15.277 153.716 138.438 77.896 125.464 177.179 5.611 11.011
RMTF 2035 LiveTpa 998 0.000 1198.652 55.294 11.986 146.130 134.143 71.820 117.929 168.272 5.327 10.453
RMTF 2036 LiveTpa 998 0.100 1155.259 53.730 11.781 143.257 131.476 70.711 115.862 165.085 5.226 10.255
RMTF 2040 LiveTpa 1001 0.000 1088.151 50.387 11.162 134.794 123.632 66.129 108.750 156.672 4.952 9.717
RMTF 2045 LiveTpa 1003 0.000 1005.496 45.250 9.881 126.165 116.284 58.943 101.656 146.913 4.639 9.103
RXAI 2025 LiveTpa 988 0.000 1496.266 72.393 17.789 168.278 150.489 89.821 138.447 193.036 6.141 12.052
RXAI 2029 LiveTpa 987 0.806 1377.098 65.176 16.883 160.379 143.496 81.814 129.734 182.016 5.794 11.369
RXAI 2030 LiveTpa 987 0.679 1313.679 63.745 16.052 155.864 139.813 80.297 126.891 178.007 5.666 11.119
RXAI 2031 LiveTpa 987 0.320 612.719 31.011 8.449 72.661 64.212 37.729 60.253 82.537 2.627 5.156
RXAI 2035 LiveTpa 987 0.319 605.557 29.907 8.082 71.290 63.208 36.505 59.379 81.804 2.604 5.110
RXAI 2036 LiveTpa 987 0.318 603.777 29.785 7.915 70.898 62.983 36.408 59.047 81.551 2.596 5.094
RXAI 2040 LiveTpa 987 0.187 596.705 29.060 7.594 69.448 61.854 35.895 57.825 80.336 2.557 5.018
RXAI 2045 LiveTpa 987 0.089 592.513 27.864 7.178 66.285 59.108 34.597 56.096 78.614 2.502 4.910
RXGF 2025 LiveTpa 969 0.000 1496.266 72.581 17.788 168.948 151.160 90.085 138.274 191.594 6.155 12.078
RXGF 2029 LiveTpa 968 0.806 1377.098 65.353 16.805 161.035 144.230 82.172 129.579 180.703 5.808 11.398
RXGF 2030 LiveTpa 968 0.679 1313.679 63.809 15.945 157.475 141.529 80.833 126.732 176.724 5.680 11.147
RXGF 2031 LiveTpa 968 0.339 625.599 31.898 8.660 74.939 66.279 38.766 61.522 83.740 2.692 5.282
RXGF 2035 LiveTpa 968 0.337 618.285 30.701 8.484 73.809 65.325 37.453 60.582 82.943 2.666 5.232
RXGF 2036 LiveTpa 968 0.337 616.467 30.573 8.185 72.943 64.759 37.353 60.210 82.619 2.655 5.211
RXGF 2040 LiveTpa 968 0.199 609.247 29.779 7.717 71.825 64.108 36.750 58.906 81.284 2.613 5.127
RXGF 2045 LiveTpa 968 0.096 599.705 28.711 7.427 67.404 59.977 35.513 57.091 79.544 2.557 5.017 
RF.Wbp = t %>%
  group_by(MgmtID)%>%
  mutate(Base.Value = mean[2])%>% #set SARA value as fixed at year 2029 (prior to treatment)
  mutate(RF.Med = ((mean - Base.Value)/Base.Value))%>%
  mutate(RF.rd=round(RF.Med, digits = 3)) #3 decimal places for modeled RFs

RF.Wbp.35 = RF.Wbp%>%
  filter(Year == 2035) #only grab RF for 2035 (5 years post-treatment)

RF.Wbp.35%>%
  select(MgmtID, Year, RF.Med, RF.rd)%>%
  kbl()%>%
  kable_minimal()
MgmtID Year RF.Med RF.rd
CMCC 2035 -0.0260711 -0.026
CMUR 2035 -0.0416806 -0.042
HCTA 2035 -0.0836498 -0.084
HERB 2035 -0.0955108 -0.096
MRCT 2035 -0.0617490 -0.062
MTTH 2035 -0.0671785 -0.067
RMGP 2035 -0.1316560 -0.132
RMMA 2035 -0.0499828 -0.050
RMTF 2035 -0.0904190 -0.090
RXAI 2035 -0.5423019 -0.542
RXGF 2035 -0.5324705 -0.532

FVS Model Runs -> REBA Treatment Codes

Crosswalked FVS MgmtID’s to REBA Treatment Codes:

MgmtID REBA.Code treatment.name Year variable n min max median q1 q3 iqr mad mean sd se ci Base.Value RF.Med RF.rd
83 RXGF RXF-GFL Rx Fire - Ground 2030 LiveTpa 968 0.679 1313.679 63.809 15.945 157.475 141.529 80.833 126.732 176.724 5.680 11.147 129.579 -0.0219712 -0.022
84 RXGF RXF-GFL Rx Fire - Ground 2031 LiveTpa 968 0.339 625.599 31.898 8.660 74.939 66.279 38.766 61.522 83.740 2.692 5.282 129.579 -0.5252163 -0.525
85 RXGF RXF-GFL Rx Fire - Ground 2035 LiveTpa 968 0.337 618.285 30.701 8.484 73.809 65.325 37.453 60.582 82.943 2.666 5.232 129.579 -0.5324705 -0.532
86 RXGF RXF-GFL Rx Fire - Ground 2036 LiveTpa 968 0.337 616.467 30.573 8.185 72.943 64.759 37.353 60.210 82.619 2.655 5.211 129.579 -0.5353414 -0.535
87 RXGF RXF-GFL Rx Fire - Ground 2040 LiveTpa 968 0.199 609.247 29.779 7.717 71.825 64.108 36.750 58.906 81.284 2.613 5.127 129.579 -0.5454047 -0.545
88 RXGF RXF-GFL Rx Fire - Ground 2045 LiveTpa 968 0.096 599.705 28.711 7.427 67.404 59.977 35.513 57.091 79.544 2.557 5.017 129.579 -0.5594116 -0.559

Items to note:

  • Fire related treatments (RXGF, RXAI) show effects 1-year post treatment via fire induced mortality
  • This signal is also true for treatments with mastication following thinning (CMUR)
  • Additional treatment parameters can be explored here

These are not errors in FVS model runs, merely a function of how FVS calculate mortality (e.g. change in TPA in the year following a fire), or a function of our multi-step treatments (e.g. pile and burn or mastication in the year following fuels thinning)

Populated REBA te_RF formatted table with FVS Modeled Output

To note:

  • Some previous treatments (e.g. Herbicides - Broad) were collapsed and/or depreciated in the migration to the Sugarpine 1.0 treatment menu. These treatments have an FVS_Code of NA. Pending revisions to previously released landscapes (e.g. SOFRC, Trinity) these treatment response functions may be populated at a later date.
initial_method_code initial_prescription_code follow_up_method_code follow_up_prescription_code sara_id spatial_predictor predictor_value value name objective treatment_name
CMR CC NONE NONE 288 GLOBAL 0 -0.026 Whitebark Pine bdv Complex Mechanical Removal - Clearcut
CMR TH NONE NONE 288 GLOBAL 0 -0.067 Whitebark Pine bdv Complex Mechanical Removal - Thinning
CMR URC NONE NONE 288 GLOBAL 0 -0.042 Whitebark Pine bdv Complex Mechanical Removal - Urban Clearing
HCD BR NONE NONE 288 GLOBAL 0 0.000 Whitebark Pine bdv Herbicides - Broad
HCD TA NONE NONE 288 GLOBAL 0 -0.084 Whitebark Pine bdv Herbicides - Targeted
HRB HRB NONE NONE 288 GLOBAL 0 -0.096 Whitebark Pine bdv Herbivory - Herbivory
MRM CC NONE NONE 288 GLOBAL 0 -0.026 Whitebark Pine bdv Mechanical Removal - Clearcut
MRM CT NONE NONE 288 GLOBAL 0 -0.062 Whitebark Pine bdv Mechanical Removal - Commercial Thinning
MRM SD NONE NONE 288 GLOBAL 0 0.000 Whitebark Pine bdv Mechanical Removal - Small Diameter
MRM TH NONE NONE 288 GLOBAL 0 0.000 Whitebark Pine bdv Mechanical Removal - Thinning
MRM VDT NONE NONE 288 GLOBAL 0 0.000 Whitebark Pine bdv Mechanical Removal - Variable Density Thinning
MTH ISR NONE NONE 288 GLOBAL 0 -0.090 Whitebark Pine bdv Manual - Invasives Removal
MTH TH NONE NONE 288 GLOBAL 0 -0.067 Whitebark Pine bdv Manual - Thinning
MTH URC NONE NONE 288 GLOBAL 0 -0.042 Whitebark Pine bdv Manual - Urban Clearing
REV A NONE NONE 288 GLOBAL 0 0.000 Whitebark Pine bdv Revegetation - Revegetation
RGM GMP NONE NONE 288 GLOBAL 0 -0.132 Whitebark Pine bdv Mechanical Rearrangement - Grapple Pile
RGM MASL NONE NONE 288 GLOBAL 0 -0.050 Whitebark Pine bdv Mechanical Rearrangement - Mastication
RGM TFF NONE NONE 288 GLOBAL 0 -0.090 Whitebark Pine bdv Mechanical Rearrangement - Mowing
RXF AI NONE NONE 288 GLOBAL 0 -0.542 Whitebark Pine bdv Rx Fire - Rx Fire - Aerial
RXF GFL NONE NONE 288 GLOBAL 0 -0.532 Whitebark Pine bdv Rx Fire - Rx Fire - Ground