R/getOutputTables.R
getOutputTables.RdProduces summary tables for Bayesian caribou population model results. Optionally calculates Kolmogorov–Smirnov distances between Bayesian model results and national model results.
getOutputTables(
caribouBayesDemogMod,
startYear = min(caribouBayesDemogMod$inData$disturbanceIn$Year),
endYear = max(caribouBayesDemogMod$inData$disturbanceIn$Year),
paramTable = data.frame(param = "observed"),
exData = NULL,
simNational = NULL,
getKSDists = FALSE
)caribou Bayesian demographic model results
produced by calling caribouBayesianPM()
year defining the beginning of the observation period and the end of the projection period.
data.frame. Optional. Scenario parameters see
simulateObservations()
data.frame. Optional. Output of simulateObservations() that
records the true population metrics of the population that observations
were simulated from.
National simulation results, produced by calling
getSimsNational()
logical. Should Kolmogorov–Smirnov distances be calculated?
a list of tables:
rr.summary.all: Mean parameter values for each year and standard deviation, upper and lower credible intervals projected by the Bayesian model, as well as scenario input parameters.
sim.all: Mean parameter values and upper and lower credible intervals from the National model for each year, as well as scenario input parameters.
obs.all: Observed parameter values with column "type" identifying if it is the "true" value of the simulated population or the "observed" value simulated based on the collaring program parameters.
kdDists: Kolmogorov–Smirnov distances and p-values, NA if getKSDists is false
Caribou demography functions:
caribouBayesianPM(),
caribouPopGrowth(),
compositionBiasCorrection(),
demographicCoefficients(),
demographicProjectionApp(),
demographicRates(),
getPriors(),
getScenarioDefaults(),
getSimsNational(),
plotRes(),
popGrowthTableJohnsonECCC,
runScnSet(),
simulateObservations()
scns <- getScenarioDefaults(projYears = 10, obsYears = 10,
obsAnthroSlope = 1, projAnthroSlope = 5,
collarCount = 20, cowMult = 5)
simO <- simulateObservations(scns)
out <- caribouBayesianPM(survData = simO$simSurvObs, ageRatio = simO$ageRatioOut,
disturbance = simO$simDisturbance,
Nchains = 1, Niter = 100, Nburn = 10,
Nthin = 2)
#> Warning: warning, low sample size of adult females in at least one year
#> using Kaplan-Meier survival model
getOutputTables(out, exData = simO$exData, paramTable = simO$paramTable,
simNational = getSimsNational(), getKSDists = FALSE)
#> Warning: Setting expected survival S_bar to be between l_S and h_S.
#> Updating cached national simulations.
#> $rr.summary.all
#> Year Parameter Mean SD Lower 95% CRI Upper 95% CRI
#> 1 2014 Female population size 1000.000 0.000 1000.000 1000.000
#> 2 2014 Recruitment 0.190 0.029 0.134 0.241
#> 3 2014 Adjusted recruitment 0.099 0.017 0.071 0.125
#> 4 2014 Population growth rate 1.068 0.037 0.987 1.137
#> 5 2014 Adult female survival 0.903 0.089 0.690 0.985
#> 6 2015 Female population size 991.222 100.066 723.000 1104.900
#> 7 2015 Population growth rate 1.065 0.037 0.985 1.132
#> 8 2015 Recruitment 0.378 0.042 0.297 0.453
#> 9 2015 Adult female survival 0.963 0.024 0.911 0.987
#> 10 2015 Adjusted recruitment 0.197 0.028 0.147 0.250
#> 11 2016 Population growth rate 1.061 0.036 0.983 1.127
#> 12 2016 Female population size 1140.933 119.881 823.300 1284.300
#> 13 2016 Recruitment 0.544 0.065 0.420 0.628
#> 14 2016 Adult female survival 0.781 0.050 0.693 0.851
#> 15 2016 Adjusted recruitment 0.284 0.040 0.210 0.348
#> 16 2017 Population growth rate 1.058 0.036 0.981 1.122
#> 17 2017 Female population size 1147.933 151.794 755.500 1383.000
#> 18 2017 Recruitment 0.172 0.055 0.092 0.284
#> 19 2017 Adult female survival 0.940 0.029 0.888 0.987
#> 20 2017 Adjusted recruitment 0.089 0.029 0.044 0.158
#> 21 2018 Recruitment 0.306 0.048 0.230 0.388
#> 22 2018 Female population size 1172.933 163.611 781.400 1459.400
#> 23 2018 Adult female survival 0.775 0.050 0.669 0.864
#> 24 2018 Population growth rate 1.054 0.035 0.979 1.117
#> 25 2018 Adjusted recruitment 0.159 0.025 0.122 0.205
#> 26 2019 Female population size 1046.044 153.308 724.700 1345.000
#> 27 2019 Population growth rate 1.051 0.035 0.977 1.112
#> 28 2019 Adult female survival 0.892 0.038 0.814 0.952
#> 29 2019 Recruitment 0.550 0.055 0.460 0.643
#> 30 2019 Adjusted recruitment 0.286 0.035 0.233 0.354
#> 31 2020 Population growth rate 1.047 0.035 0.975 1.108
#> 32 2020 Adjusted recruitment 0.176 0.033 0.121 0.240
#> 33 2020 Female population size 1203.556 207.466 843.000 1651.300
#> 34 2020 Adult female survival 0.935 0.032 0.878 0.982
#> 35 2020 Recruitment 0.338 0.060 0.243 0.459
#> 36 2021 Recruitment 0.337 0.066 0.215 0.449
#> 37 2021 Population growth rate 1.044 0.034 0.973 1.104
#> 38 2021 Female population size 1327.756 239.633 955.100 1754.000
#> 39 2021 Adult female survival 0.954 0.032 0.872 0.988
#> 40 2021 Adjusted recruitment 0.175 0.033 0.118 0.238
#> 41 2022 Recruitment 0.210 0.045 0.145 0.305
#> 42 2022 Adult female survival 0.915 0.035 0.850 0.972
#> 43 2022 Population growth rate 1.041 0.034 0.971 1.099
#> 44 2022 Female population size 1484.978 278.232 1035.600 1978.600
#> 45 2022 Adjusted recruitment 0.109 0.023 0.078 0.157
#> 46 2023 Female population size 1509.889 293.980 1007.200 1941.800
#> 47 2023 Recruitment 0.370 0.035 0.311 0.445
#> 48 2023 Adult female survival 0.959 0.027 0.895 0.985
#> 49 2023 Adjusted recruitment 0.193 0.024 0.149 0.253
#> 50 2023 Population growth rate 1.037 0.034 0.970 1.095
#> 51 2024 Female population size 1732.733 354.553 1140.100 2252.200
#> 52 2024 Recruitment 0.316 0.160 0.063 0.670
#> 53 2024 Population growth rate 1.022 0.033 0.961 1.078
#> 54 2024 Adjusted recruitment 0.165 0.086 0.029 0.358
#> 55 2024 Adult female survival 0.882 0.091 0.713 0.985
#> 56 2025 Female population size 1783.622 461.051 1135.800 2732.300
#> 57 2025 Recruitment 0.270 0.132 0.082 0.593
#> 58 2025 Population growth rate 1.008 0.033 0.953 1.069
#> 59 2025 Adult female survival 0.869 0.092 0.679 0.983
#> 60 2025 Adjusted recruitment 0.140 0.066 0.044 0.278
#> 61 2026 Recruitment 0.253 0.094 0.087 0.434
#> 62 2026 Female population size 1761.311 510.231 982.400 2895.900
#> 63 2026 Adult female survival 0.868 0.084 0.711 0.985
#> 64 2026 Adjusted recruitment 0.132 0.049 0.042 0.219
#> 65 2026 Population growth rate 0.994 0.034 0.945 1.060
#> 66 2027 Female population size 1739.156 571.419 960.200 2923.100
#> 67 2027 Recruitment 0.227 0.109 0.082 0.428
#> 68 2027 Adjusted recruitment 0.118 0.058 0.042 0.237
#> 69 2027 Population growth rate 0.982 0.034 0.932 1.051
#> 70 2027 Adult female survival 0.858 0.085 0.726 0.982
#> 71 2028 Female population size 1666.956 590.634 917.200 2979.100
#> 72 2028 Population growth rate 0.970 0.035 0.918 1.037
#> 73 2028 Recruitment 0.221 0.112 0.092 0.535
#> 74 2028 Adult female survival 0.863 0.092 0.655 0.971
#> 75 2028 Adjusted recruitment 0.115 0.056 0.047 0.263
#> 76 2029 Population growth rate 0.959 0.036 0.904 1.030
#> 77 2029 Female population size 1606.911 587.391 785.100 2782.700
#> 78 2029 Recruitment 0.199 0.105 0.042 0.410
#> 79 2029 Adult female survival 0.861 0.100 0.667 0.983
#> 80 2029 Adjusted recruitment 0.103 0.054 0.020 0.210
#> 81 2030 Population growth rate 0.949 0.037 0.891 1.023
#> 82 2030 Female population size 1516.444 572.153 730.300 2779.500
#> 83 2030 Recruitment 0.203 0.098 0.059 0.431
#> 84 2030 Adult female survival 0.856 0.102 0.586 0.979
#> 85 2030 Adjusted recruitment 0.105 0.051 0.028 0.222
#> 86 2031 Recruitment 0.156 0.072 0.069 0.328
#> 87 2031 Female population size 1459.244 629.567 508.300 2859.900
#> 88 2031 Adult female survival 0.846 0.092 0.675 0.966
#> 89 2031 Population growth rate 0.939 0.038 0.879 1.017
#> 90 2031 Adjusted recruitment 0.081 0.038 0.037 0.175
#> 91 2032 Female population size 1341.111 653.380 484.200 2941.500
#> 92 2032 Population growth rate 0.930 0.040 0.867 1.011
#> 93 2032 Adult female survival 0.874 0.077 0.748 0.975
#> 94 2032 Recruitment 0.156 0.080 0.059 0.317
#> 95 2032 Adjusted recruitment 0.081 0.042 0.031 0.171
#> 96 2033 Population growth rate 0.922 0.041 0.856 1.005
#> 97 2033 Adjusted recruitment 0.080 0.045 0.015 0.135
#> 98 2033 Female population size 1267.222 629.217 388.800 2792.000
#> 99 2033 Adult female survival 0.842 0.123 0.537 0.978
#> 100 2033 Recruitment 0.155 0.085 0.032 0.287
#> probViable Anthro fire_excl_anthro Total_dist iFire iAnthro
#> 1 NA 0 1.188866e-04 1.188866e-04 0 0
#> 2 NA 0 1.188866e-04 1.188866e-04 0 0
#> 3 NA 0 1.188866e-04 1.188866e-04 0 0
#> 4 0.956 0 1.188866e-04 1.188866e-04 0 0
#> 5 NA 0 1.188866e-04 1.188866e-04 0 0
#> 6 NA 1 7.031704e-05 1.000070e+00 0 0
#> 7 0.956 1 7.031704e-05 1.000070e+00 0 0
#> 8 NA 1 7.031704e-05 1.000070e+00 0 0
#> 9 NA 1 7.031704e-05 1.000070e+00 0 0
#> 10 NA 1 7.031704e-05 1.000070e+00 0 0
#> 11 0.956 2 0.000000e+00 2.000000e+00 0 0
#> 12 NA 2 0.000000e+00 2.000000e+00 0 0
#> 13 NA 2 0.000000e+00 2.000000e+00 0 0
#> 14 NA 2 0.000000e+00 2.000000e+00 0 0
#> 15 NA 2 0.000000e+00 2.000000e+00 0 0
#> 16 0.933 3 8.861514e-05 3.000089e+00 0 0
#> 17 NA 3 8.861514e-05 3.000089e+00 0 0
#> 18 NA 3 8.861514e-05 3.000089e+00 0 0
#> 19 NA 3 8.861514e-05 3.000089e+00 0 0
#> 20 NA 3 8.861514e-05 3.000089e+00 0 0
#> 21 NA 4 0.000000e+00 4.000000e+00 0 0
#> 22 NA 4 0.000000e+00 4.000000e+00 0 0
#> 23 NA 4 0.000000e+00 4.000000e+00 0 0
#> 24 0.933 4 0.000000e+00 4.000000e+00 0 0
#> 25 NA 4 0.000000e+00 4.000000e+00 0 0
#> 26 NA 5 1.509949e-04 5.000151e+00 0 0
#> 27 0.933 5 1.509949e-04 5.000151e+00 0 0
#> 28 NA 5 1.509949e-04 5.000151e+00 0 0
#> 29 NA 5 1.509949e-04 5.000151e+00 0 0
#> 30 NA 5 1.509949e-04 5.000151e+00 0 0
#> 31 0.933 6 0.000000e+00 6.000000e+00 0 0
#> 32 NA 6 0.000000e+00 6.000000e+00 0 0
#> 33 NA 6 0.000000e+00 6.000000e+00 0 0
#> 34 NA 6 0.000000e+00 6.000000e+00 0 0
#> 35 NA 6 0.000000e+00 6.000000e+00 0 0
#> 36 NA 7 1.529326e-05 7.000015e+00 0 0
#> 37 0.933 7 1.529326e-05 7.000015e+00 0 0
#> 38 NA 7 1.529326e-05 7.000015e+00 0 0
#> 39 NA 7 1.529326e-05 7.000015e+00 0 0
#> 40 NA 7 1.529326e-05 7.000015e+00 0 0
#> 41 NA 8 3.939196e-05 8.000039e+00 0 0
#> 42 NA 8 3.939196e-05 8.000039e+00 0 0
#> 43 0.933 8 3.939196e-05 8.000039e+00 0 0
#> 44 NA 8 3.939196e-05 8.000039e+00 0 0
#> 45 NA 8 3.939196e-05 8.000039e+00 0 0
#> 46 NA 9 0.000000e+00 9.000000e+00 0 0
#> 47 NA 9 0.000000e+00 9.000000e+00 0 0
#> 48 NA 9 0.000000e+00 9.000000e+00 0 0
#> 49 NA 9 0.000000e+00 9.000000e+00 0 0
#> 50 0.933 9 0.000000e+00 9.000000e+00 0 0
#> 51 NA 14 0.000000e+00 1.400000e+01 0 0
#> 52 NA 14 0.000000e+00 1.400000e+01 0 0
#> 53 0.822 14 0.000000e+00 1.400000e+01 0 0
#> 54 NA 14 0.000000e+00 1.400000e+01 0 0
#> 55 NA 14 0.000000e+00 1.400000e+01 0 0
#> 56 NA 19 6.207464e-06 1.900001e+01 0 0
#> 57 NA 19 6.207464e-06 1.900001e+01 0 0
#> 58 0.689 19 6.207464e-06 1.900001e+01 0 0
#> 59 NA 19 6.207464e-06 1.900001e+01 0 0
#> 60 NA 19 6.207464e-06 1.900001e+01 0 0
#> 61 NA 24 0.000000e+00 2.400000e+01 0 0
#> 62 NA 24 0.000000e+00 2.400000e+01 0 0
#> 63 NA 24 0.000000e+00 2.400000e+01 0 0
#> 64 NA 24 0.000000e+00 2.400000e+01 0 0
#> 65 0.600 24 0.000000e+00 2.400000e+01 0 0
#> 66 NA 29 0.000000e+00 2.900000e+01 0 0
#> 67 NA 29 0.000000e+00 2.900000e+01 0 0
#> 68 NA 29 0.000000e+00 2.900000e+01 0 0
#> 69 0.400 29 0.000000e+00 2.900000e+01 0 0
#> 70 NA 29 0.000000e+00 2.900000e+01 0 0
#> 71 NA 34 1.369812e-04 3.400014e+01 0 0
#> 72 0.289 34 1.369812e-04 3.400014e+01 0 0
#> 73 NA 34 1.369812e-04 3.400014e+01 0 0
#> 74 NA 34 1.369812e-04 3.400014e+01 0 0
#> 75 NA 34 1.369812e-04 3.400014e+01 0 0
#> 76 0.200 39 3.567506e-05 3.900004e+01 0 0
#> 77 NA 39 3.567506e-05 3.900004e+01 0 0
#> 78 NA 39 3.567506e-05 3.900004e+01 0 0
#> 79 NA 39 3.567506e-05 3.900004e+01 0 0
#> 80 NA 39 3.567506e-05 3.900004e+01 0 0
#> 81 0.156 44 0.000000e+00 4.400000e+01 0 0
#> 82 NA 44 0.000000e+00 4.400000e+01 0 0
#> 83 NA 44 0.000000e+00 4.400000e+01 0 0
#> 84 NA 44 0.000000e+00 4.400000e+01 0 0
#> 85 NA 44 0.000000e+00 4.400000e+01 0 0
#> 86 NA 49 1.312139e-04 4.900013e+01 0 0
#> 87 NA 49 1.312139e-04 4.900013e+01 0 0
#> 88 NA 49 1.312139e-04 4.900013e+01 0 0
#> 89 0.111 49 1.312139e-04 4.900013e+01 0 0
#> 90 NA 49 1.312139e-04 4.900013e+01 0 0
#> 91 NA 54 0.000000e+00 5.400000e+01 0 0
#> 92 0.067 54 0.000000e+00 5.400000e+01 0 0
#> 93 NA 54 0.000000e+00 5.400000e+01 0 0
#> 94 NA 54 0.000000e+00 5.400000e+01 0 0
#> 95 NA 54 0.000000e+00 5.400000e+01 0 0
#> 96 0.067 59 2.350460e-05 5.900002e+01 0 0
#> 97 NA 59 2.350460e-05 5.900002e+01 0 0
#> 98 NA 59 2.350460e-05 5.900002e+01 0 0
#> 99 NA 59 2.350460e-05 5.900002e+01 0 0
#> 100 NA 59 2.350460e-05 5.900002e+01 0 0
#> obsAnthroSlope projAnthroSlope rSlopeMod sSlopeMod rQuantile sQuantile
#> 1 1 5 1 1 0.5 0.5
#> 2 1 5 1 1 0.5 0.5
#> 3 1 5 1 1 0.5 0.5
#> 4 1 5 1 1 0.5 0.5
#> 5 1 5 1 1 0.5 0.5
#> 6 1 5 1 1 0.5 0.5
#> 7 1 5 1 1 0.5 0.5
#> 8 1 5 1 1 0.5 0.5
#> 9 1 5 1 1 0.5 0.5
#> 10 1 5 1 1 0.5 0.5
#> 11 1 5 1 1 0.5 0.5
#> 12 1 5 1 1 0.5 0.5
#> 13 1 5 1 1 0.5 0.5
#> 14 1 5 1 1 0.5 0.5
#> 15 1 5 1 1 0.5 0.5
#> 16 1 5 1 1 0.5 0.5
#> 17 1 5 1 1 0.5 0.5
#> 18 1 5 1 1 0.5 0.5
#> 19 1 5 1 1 0.5 0.5
#> 20 1 5 1 1 0.5 0.5
#> 21 1 5 1 1 0.5 0.5
#> 22 1 5 1 1 0.5 0.5
#> 23 1 5 1 1 0.5 0.5
#> 24 1 5 1 1 0.5 0.5
#> 25 1 5 1 1 0.5 0.5
#> 26 1 5 1 1 0.5 0.5
#> 27 1 5 1 1 0.5 0.5
#> 28 1 5 1 1 0.5 0.5
#> 29 1 5 1 1 0.5 0.5
#> 30 1 5 1 1 0.5 0.5
#> 31 1 5 1 1 0.5 0.5
#> 32 1 5 1 1 0.5 0.5
#> 33 1 5 1 1 0.5 0.5
#> 34 1 5 1 1 0.5 0.5
#> 35 1 5 1 1 0.5 0.5
#> 36 1 5 1 1 0.5 0.5
#> 37 1 5 1 1 0.5 0.5
#> 38 1 5 1 1 0.5 0.5
#> 39 1 5 1 1 0.5 0.5
#> 40 1 5 1 1 0.5 0.5
#> 41 1 5 1 1 0.5 0.5
#> 42 1 5 1 1 0.5 0.5
#> 43 1 5 1 1 0.5 0.5
#> 44 1 5 1 1 0.5 0.5
#> 45 1 5 1 1 0.5 0.5
#> 46 1 5 1 1 0.5 0.5
#> 47 1 5 1 1 0.5 0.5
#> 48 1 5 1 1 0.5 0.5
#> 49 1 5 1 1 0.5 0.5
#> 50 1 5 1 1 0.5 0.5
#> 51 1 5 1 1 0.5 0.5
#> 52 1 5 1 1 0.5 0.5
#> 53 1 5 1 1 0.5 0.5
#> 54 1 5 1 1 0.5 0.5
#> 55 1 5 1 1 0.5 0.5
#> 56 1 5 1 1 0.5 0.5
#> 57 1 5 1 1 0.5 0.5
#> 58 1 5 1 1 0.5 0.5
#> 59 1 5 1 1 0.5 0.5
#> 60 1 5 1 1 0.5 0.5
#> 61 1 5 1 1 0.5 0.5
#> 62 1 5 1 1 0.5 0.5
#> 63 1 5 1 1 0.5 0.5
#> 64 1 5 1 1 0.5 0.5
#> 65 1 5 1 1 0.5 0.5
#> 66 1 5 1 1 0.5 0.5
#> 67 1 5 1 1 0.5 0.5
#> 68 1 5 1 1 0.5 0.5
#> 69 1 5 1 1 0.5 0.5
#> 70 1 5 1 1 0.5 0.5
#> 71 1 5 1 1 0.5 0.5
#> 72 1 5 1 1 0.5 0.5
#> 73 1 5 1 1 0.5 0.5
#> 74 1 5 1 1 0.5 0.5
#> 75 1 5 1 1 0.5 0.5
#> 76 1 5 1 1 0.5 0.5
#> 77 1 5 1 1 0.5 0.5
#> 78 1 5 1 1 0.5 0.5
#> 79 1 5 1 1 0.5 0.5
#> 80 1 5 1 1 0.5 0.5
#> 81 1 5 1 1 0.5 0.5
#> 82 1 5 1 1 0.5 0.5
#> 83 1 5 1 1 0.5 0.5
#> 84 1 5 1 1 0.5 0.5
#> 85 1 5 1 1 0.5 0.5
#> 86 1 5 1 1 0.5 0.5
#> 87 1 5 1 1 0.5 0.5
#> 88 1 5 1 1 0.5 0.5
#> 89 1 5 1 1 0.5 0.5
#> 90 1 5 1 1 0.5 0.5
#> 91 1 5 1 1 0.5 0.5
#> 92 1 5 1 1 0.5 0.5
#> 93 1 5 1 1 0.5 0.5
#> 94 1 5 1 1 0.5 0.5
#> 95 1 5 1 1 0.5 0.5
#> 96 1 5 1 1 0.5 0.5
#> 97 1 5 1 1 0.5 0.5
#> 98 1 5 1 1 0.5 0.5
#> 99 1 5 1 1 0.5 0.5
#> 100 1 5 1 1 0.5 0.5
#> projYears obsYears preYears N0 assessmentYrs qMin qMax uMin uMax zMin
#> 1 10 10 0 1000 3 0 0.6 0 0.2 0
#> 2 10 10 0 1000 3 0 0.6 0 0.2 0
#> 3 10 10 0 1000 3 0 0.6 0 0.2 0
#> 4 10 10 0 1000 3 0 0.6 0 0.2 0
#> 5 10 10 0 1000 3 0 0.6 0 0.2 0
#> 6 10 10 0 1000 3 0 0.6 0 0.2 0
#> 7 10 10 0 1000 3 0 0.6 0 0.2 0
#> 8 10 10 0 1000 3 0 0.6 0 0.2 0
#> 9 10 10 0 1000 3 0 0.6 0 0.2 0
#> 10 10 10 0 1000 3 0 0.6 0 0.2 0
#> 11 10 10 0 1000 3 0 0.6 0 0.2 0
#> 12 10 10 0 1000 3 0 0.6 0 0.2 0
#> 13 10 10 0 1000 3 0 0.6 0 0.2 0
#> 14 10 10 0 1000 3 0 0.6 0 0.2 0
#> 15 10 10 0 1000 3 0 0.6 0 0.2 0
#> 16 10 10 0 1000 3 0 0.6 0 0.2 0
#> 17 10 10 0 1000 3 0 0.6 0 0.2 0
#> 18 10 10 0 1000 3 0 0.6 0 0.2 0
#> 19 10 10 0 1000 3 0 0.6 0 0.2 0
#> 20 10 10 0 1000 3 0 0.6 0 0.2 0
#> 21 10 10 0 1000 3 0 0.6 0 0.2 0
#> 22 10 10 0 1000 3 0 0.6 0 0.2 0
#> 23 10 10 0 1000 3 0 0.6 0 0.2 0
#> 24 10 10 0 1000 3 0 0.6 0 0.2 0
#> 25 10 10 0 1000 3 0 0.6 0 0.2 0
#> 26 10 10 0 1000 3 0 0.6 0 0.2 0
#> 27 10 10 0 1000 3 0 0.6 0 0.2 0
#> 28 10 10 0 1000 3 0 0.6 0 0.2 0
#> 29 10 10 0 1000 3 0 0.6 0 0.2 0
#> 30 10 10 0 1000 3 0 0.6 0 0.2 0
#> 31 10 10 0 1000 3 0 0.6 0 0.2 0
#> 32 10 10 0 1000 3 0 0.6 0 0.2 0
#> 33 10 10 0 1000 3 0 0.6 0 0.2 0
#> 34 10 10 0 1000 3 0 0.6 0 0.2 0
#> 35 10 10 0 1000 3 0 0.6 0 0.2 0
#> 36 10 10 0 1000 3 0 0.6 0 0.2 0
#> 37 10 10 0 1000 3 0 0.6 0 0.2 0
#> 38 10 10 0 1000 3 0 0.6 0 0.2 0
#> 39 10 10 0 1000 3 0 0.6 0 0.2 0
#> 40 10 10 0 1000 3 0 0.6 0 0.2 0
#> 41 10 10 0 1000 3 0 0.6 0 0.2 0
#> 42 10 10 0 1000 3 0 0.6 0 0.2 0
#> 43 10 10 0 1000 3 0 0.6 0 0.2 0
#> 44 10 10 0 1000 3 0 0.6 0 0.2 0
#> 45 10 10 0 1000 3 0 0.6 0 0.2 0
#> 46 10 10 0 1000 3 0 0.6 0 0.2 0
#> 47 10 10 0 1000 3 0 0.6 0 0.2 0
#> 48 10 10 0 1000 3 0 0.6 0 0.2 0
#> 49 10 10 0 1000 3 0 0.6 0 0.2 0
#> 50 10 10 0 1000 3 0 0.6 0 0.2 0
#> 51 10 10 0 1000 3 0 0.6 0 0.2 0
#> 52 10 10 0 1000 3 0 0.6 0 0.2 0
#> 53 10 10 0 1000 3 0 0.6 0 0.2 0
#> 54 10 10 0 1000 3 0 0.6 0 0.2 0
#> 55 10 10 0 1000 3 0 0.6 0 0.2 0
#> 56 10 10 0 1000 3 0 0.6 0 0.2 0
#> 57 10 10 0 1000 3 0 0.6 0 0.2 0
#> 58 10 10 0 1000 3 0 0.6 0 0.2 0
#> 59 10 10 0 1000 3 0 0.6 0 0.2 0
#> 60 10 10 0 1000 3 0 0.6 0 0.2 0
#> 61 10 10 0 1000 3 0 0.6 0 0.2 0
#> 62 10 10 0 1000 3 0 0.6 0 0.2 0
#> 63 10 10 0 1000 3 0 0.6 0 0.2 0
#> 64 10 10 0 1000 3 0 0.6 0 0.2 0
#> 65 10 10 0 1000 3 0 0.6 0 0.2 0
#> 66 10 10 0 1000 3 0 0.6 0 0.2 0
#> 67 10 10 0 1000 3 0 0.6 0 0.2 0
#> 68 10 10 0 1000 3 0 0.6 0 0.2 0
#> 69 10 10 0 1000 3 0 0.6 0 0.2 0
#> 70 10 10 0 1000 3 0 0.6 0 0.2 0
#> 71 10 10 0 1000 3 0 0.6 0 0.2 0
#> 72 10 10 0 1000 3 0 0.6 0 0.2 0
#> 73 10 10 0 1000 3 0 0.6 0 0.2 0
#> 74 10 10 0 1000 3 0 0.6 0 0.2 0
#> 75 10 10 0 1000 3 0 0.6 0 0.2 0
#> 76 10 10 0 1000 3 0 0.6 0 0.2 0
#> 77 10 10 0 1000 3 0 0.6 0 0.2 0
#> 78 10 10 0 1000 3 0 0.6 0 0.2 0
#> 79 10 10 0 1000 3 0 0.6 0 0.2 0
#> 80 10 10 0 1000 3 0 0.6 0 0.2 0
#> 81 10 10 0 1000 3 0 0.6 0 0.2 0
#> 82 10 10 0 1000 3 0 0.6 0 0.2 0
#> 83 10 10 0 1000 3 0 0.6 0 0.2 0
#> 84 10 10 0 1000 3 0 0.6 0 0.2 0
#> 85 10 10 0 1000 3 0 0.6 0 0.2 0
#> 86 10 10 0 1000 3 0 0.6 0 0.2 0
#> 87 10 10 0 1000 3 0 0.6 0 0.2 0
#> 88 10 10 0 1000 3 0 0.6 0 0.2 0
#> 89 10 10 0 1000 3 0 0.6 0 0.2 0
#> 90 10 10 0 1000 3 0 0.6 0 0.2 0
#> 91 10 10 0 1000 3 0 0.6 0 0.2 0
#> 92 10 10 0 1000 3 0 0.6 0 0.2 0
#> 93 10 10 0 1000 3 0 0.6 0 0.2 0
#> 94 10 10 0 1000 3 0 0.6 0 0.2 0
#> 95 10 10 0 1000 3 0 0.6 0 0.2 0
#> 96 10 10 0 1000 3 0 0.6 0 0.2 0
#> 97 10 10 0 1000 3 0 0.6 0 0.2 0
#> 98 10 10 0 1000 3 0 0.6 0 0.2 0
#> 99 10 10 0 1000 3 0 0.6 0 0.2 0
#> 100 10 10 0 1000 3 0 0.6 0 0.2 0
#> zMax cowMult collarCount interannualVar curYear ID
#> 1 0.2 5 20 0.46000, 0.08696 2023 1
#> 2 0.2 5 20 0.46000, 0.08696 2023 1
#> 3 0.2 5 20 0.46000, 0.08696 2023 1
#> 4 0.2 5 20 0.46000, 0.08696 2023 1
#> 5 0.2 5 20 0.46000, 0.08696 2023 1
#> 6 0.2 5 20 0.46000, 0.08696 2023 1
#> 7 0.2 5 20 0.46000, 0.08696 2023 1
#> 8 0.2 5 20 0.46000, 0.08696 2023 1
#> 9 0.2 5 20 0.46000, 0.08696 2023 1
#> 10 0.2 5 20 0.46000, 0.08696 2023 1
#> 11 0.2 5 20 0.46000, 0.08696 2023 1
#> 12 0.2 5 20 0.46000, 0.08696 2023 1
#> 13 0.2 5 20 0.46000, 0.08696 2023 1
#> 14 0.2 5 20 0.46000, 0.08696 2023 1
#> 15 0.2 5 20 0.46000, 0.08696 2023 1
#> 16 0.2 5 20 0.46000, 0.08696 2023 1
#> 17 0.2 5 20 0.46000, 0.08696 2023 1
#> 18 0.2 5 20 0.46000, 0.08696 2023 1
#> 19 0.2 5 20 0.46000, 0.08696 2023 1
#> 20 0.2 5 20 0.46000, 0.08696 2023 1
#> 21 0.2 5 20 0.46000, 0.08696 2023 1
#> 22 0.2 5 20 0.46000, 0.08696 2023 1
#> 23 0.2 5 20 0.46000, 0.08696 2023 1
#> 24 0.2 5 20 0.46000, 0.08696 2023 1
#> 25 0.2 5 20 0.46000, 0.08696 2023 1
#> 26 0.2 5 20 0.46000, 0.08696 2023 1
#> 27 0.2 5 20 0.46000, 0.08696 2023 1
#> 28 0.2 5 20 0.46000, 0.08696 2023 1
#> 29 0.2 5 20 0.46000, 0.08696 2023 1
#> 30 0.2 5 20 0.46000, 0.08696 2023 1
#> 31 0.2 5 20 0.46000, 0.08696 2023 1
#> 32 0.2 5 20 0.46000, 0.08696 2023 1
#> 33 0.2 5 20 0.46000, 0.08696 2023 1
#> 34 0.2 5 20 0.46000, 0.08696 2023 1
#> 35 0.2 5 20 0.46000, 0.08696 2023 1
#> 36 0.2 5 20 0.46000, 0.08696 2023 1
#> 37 0.2 5 20 0.46000, 0.08696 2023 1
#> 38 0.2 5 20 0.46000, 0.08696 2023 1
#> 39 0.2 5 20 0.46000, 0.08696 2023 1
#> 40 0.2 5 20 0.46000, 0.08696 2023 1
#> 41 0.2 5 20 0.46000, 0.08696 2023 1
#> 42 0.2 5 20 0.46000, 0.08696 2023 1
#> 43 0.2 5 20 0.46000, 0.08696 2023 1
#> 44 0.2 5 20 0.46000, 0.08696 2023 1
#> 45 0.2 5 20 0.46000, 0.08696 2023 1
#> 46 0.2 5 20 0.46000, 0.08696 2023 1
#> 47 0.2 5 20 0.46000, 0.08696 2023 1
#> 48 0.2 5 20 0.46000, 0.08696 2023 1
#> 49 0.2 5 20 0.46000, 0.08696 2023 1
#> 50 0.2 5 20 0.46000, 0.08696 2023 1
#> 51 0.2 5 20 0.46000, 0.08696 2023 1
#> 52 0.2 5 20 0.46000, 0.08696 2023 1
#> 53 0.2 5 20 0.46000, 0.08696 2023 1
#> 54 0.2 5 20 0.46000, 0.08696 2023 1
#> 55 0.2 5 20 0.46000, 0.08696 2023 1
#> 56 0.2 5 20 0.46000, 0.08696 2023 1
#> 57 0.2 5 20 0.46000, 0.08696 2023 1
#> 58 0.2 5 20 0.46000, 0.08696 2023 1
#> 59 0.2 5 20 0.46000, 0.08696 2023 1
#> 60 0.2 5 20 0.46000, 0.08696 2023 1
#> 61 0.2 5 20 0.46000, 0.08696 2023 1
#> 62 0.2 5 20 0.46000, 0.08696 2023 1
#> 63 0.2 5 20 0.46000, 0.08696 2023 1
#> 64 0.2 5 20 0.46000, 0.08696 2023 1
#> 65 0.2 5 20 0.46000, 0.08696 2023 1
#> 66 0.2 5 20 0.46000, 0.08696 2023 1
#> 67 0.2 5 20 0.46000, 0.08696 2023 1
#> 68 0.2 5 20 0.46000, 0.08696 2023 1
#> 69 0.2 5 20 0.46000, 0.08696 2023 1
#> 70 0.2 5 20 0.46000, 0.08696 2023 1
#> 71 0.2 5 20 0.46000, 0.08696 2023 1
#> 72 0.2 5 20 0.46000, 0.08696 2023 1
#> 73 0.2 5 20 0.46000, 0.08696 2023 1
#> 74 0.2 5 20 0.46000, 0.08696 2023 1
#> 75 0.2 5 20 0.46000, 0.08696 2023 1
#> 76 0.2 5 20 0.46000, 0.08696 2023 1
#> 77 0.2 5 20 0.46000, 0.08696 2023 1
#> 78 0.2 5 20 0.46000, 0.08696 2023 1
#> 79 0.2 5 20 0.46000, 0.08696 2023 1
#> 80 0.2 5 20 0.46000, 0.08696 2023 1
#> 81 0.2 5 20 0.46000, 0.08696 2023 1
#> 82 0.2 5 20 0.46000, 0.08696 2023 1
#> 83 0.2 5 20 0.46000, 0.08696 2023 1
#> 84 0.2 5 20 0.46000, 0.08696 2023 1
#> 85 0.2 5 20 0.46000, 0.08696 2023 1
#> 86 0.2 5 20 0.46000, 0.08696 2023 1
#> 87 0.2 5 20 0.46000, 0.08696 2023 1
#> 88 0.2 5 20 0.46000, 0.08696 2023 1
#> 89 0.2 5 20 0.46000, 0.08696 2023 1
#> 90 0.2 5 20 0.46000, 0.08696 2023 1
#> 91 0.2 5 20 0.46000, 0.08696 2023 1
#> 92 0.2 5 20 0.46000, 0.08696 2023 1
#> 93 0.2 5 20 0.46000, 0.08696 2023 1
#> 94 0.2 5 20 0.46000, 0.08696 2023 1
#> 95 0.2 5 20 0.46000, 0.08696 2023 1
#> 96 0.2 5 20 0.46000, 0.08696 2023 1
#> 97 0.2 5 20 0.46000, 0.08696 2023 1
#> 98 0.2 5 20 0.46000, 0.08696 2023 1
#> 99 0.2 5 20 0.46000, 0.08696 2023 1
#> 100 0.2 5 20 0.46000, 0.08696 2023 1
#> label
#> 1 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 2 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 3 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 4 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 5 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 6 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 7 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 8 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 9 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 10 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 11 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 12 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 13 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 14 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 15 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 16 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 17 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 18 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 19 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 20 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 21 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 22 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 23 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 24 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 25 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 26 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 27 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 28 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 29 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 30 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 31 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 32 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 33 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 34 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 35 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 36 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 37 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 38 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 39 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 40 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 41 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 42 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 43 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 44 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 45 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 46 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 47 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 48 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 49 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 50 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 51 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 52 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 53 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 54 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 55 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 56 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 57 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 58 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 59 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 60 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 61 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 62 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 63 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 64 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 65 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 66 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 67 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 68 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 69 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 70 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 71 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 72 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 73 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 74 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 75 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 76 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 77 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 78 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 79 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 80 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 81 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 82 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 83 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 84 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 85 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 86 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 87 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 88 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 89 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 90 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 91 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 92 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 93 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 94 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 95 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 96 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 97 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 98 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 99 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 100 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> startYear
#> 1 2014
#> 2 2014
#> 3 2014
#> 4 2014
#> 5 2014
#> 6 2014
#> 7 2014
#> 8 2014
#> 9 2014
#> 10 2014
#> 11 2014
#> 12 2014
#> 13 2014
#> 14 2014
#> 15 2014
#> 16 2014
#> 17 2014
#> 18 2014
#> 19 2014
#> 20 2014
#> 21 2014
#> 22 2014
#> 23 2014
#> 24 2014
#> 25 2014
#> 26 2014
#> 27 2014
#> 28 2014
#> 29 2014
#> 30 2014
#> 31 2014
#> 32 2014
#> 33 2014
#> 34 2014
#> 35 2014
#> 36 2014
#> 37 2014
#> 38 2014
#> 39 2014
#> 40 2014
#> 41 2014
#> 42 2014
#> 43 2014
#> 44 2014
#> 45 2014
#> 46 2014
#> 47 2014
#> 48 2014
#> 49 2014
#> 50 2014
#> 51 2014
#> 52 2014
#> 53 2014
#> 54 2014
#> 55 2014
#> 56 2014
#> 57 2014
#> 58 2014
#> 59 2014
#> 60 2014
#> 61 2014
#> 62 2014
#> 63 2014
#> 64 2014
#> 65 2014
#> 66 2014
#> 67 2014
#> 68 2014
#> 69 2014
#> 70 2014
#> 71 2014
#> 72 2014
#> 73 2014
#> 74 2014
#> 75 2014
#> 76 2014
#> 77 2014
#> 78 2014
#> 79 2014
#> 80 2014
#> 81 2014
#> 82 2014
#> 83 2014
#> 84 2014
#> 85 2014
#> 86 2014
#> 87 2014
#> 88 2014
#> 89 2014
#> 90 2014
#> 91 2014
#> 92 2014
#> 93 2014
#> 94 2014
#> 95 2014
#> 96 2014
#> 97 2014
#> 98 2014
#> 99 2014
#> 100 2014
#>
#> $sim.all
#> Anthro Mean Lower 95% CRI Upper 95% CRI parameter Year
#> 1 0 1.793107e-01 4.019004e-02 0.3907768 Adjusted recruitment 2014
#> 2 0 3.411666e-01 7.961552e-02 0.7458458 Recruitment 2014
#> 3 0 1.116078e+03 6.479750e+02 1762.1250000 Female population size 2014
#> 4 0 1.039657e+00 8.918469e-01 1.1926713 Population growth rate 2014
#> 5 0 8.752528e-01 6.862692e-01 0.9985114 Adult female survival 2014
#> 6 1 1.118658e+03 6.318000e+02 1738.0500000 Female population size 2015
#> 7 1 8.777720e-01 6.763599e-01 0.9975369 Adult female survival 2015
#> 8 1 1.039469e+00 8.983655e-01 1.1837667 Population growth rate 2015
#> 9 1 1.803262e-01 4.632790e-02 0.3879727 Adjusted recruitment 2015
#> 10 1 3.426672e-01 8.795771e-02 0.7256336 Recruitment 2015
#> 11 2 8.731468e-01 6.930402e-01 0.9969784 Adult female survival 2016
#> 12 2 1.033650e+00 8.934683e-01 1.1689487 Population growth rate 2016
#> 13 2 3.400831e-01 8.108514e-02 0.7331555 Recruitment 2016
#> 14 2 1.788863e-01 4.326995e-02 0.3864220 Adjusted recruitment 2016
#> 15 2 1.103059e+03 6.290000e+02 1710.2000000 Female population size 2016
#> 16 3 1.738684e-01 4.556234e-02 0.3660976 Adjusted recruitment 2017
#> 17 3 3.307885e-01 8.305529e-02 0.7064957 Recruitment 2017
#> 18 3 1.030618e+00 8.954765e-01 1.1671970 Population growth rate 2017
#> 19 3 8.709938e-01 6.750284e-01 0.9972625 Adult female survival 2017
#> 20 3 1.083479e+03 6.159000e+02 1711.3000000 Female population size 2017
#> 21 4 1.024574e+00 8.799739e-01 1.1736867 Population growth rate 2018
#> 22 4 1.650127e-01 3.912960e-02 0.3724567 Adjusted recruitment 2018
#> 23 4 1.069261e+03 6.096250e+02 1650.0250000 Female population size 2018
#> 24 4 3.128574e-01 7.470780e-02 0.7092193 Recruitment 2018
#> 25 4 8.710805e-01 6.914336e-01 0.9967729 Adult female survival 2018
#> 26 5 1.021905e+00 8.915984e-01 1.1602360 Population growth rate 2019
#> 27 5 8.763880e-01 6.894900e-01 0.9968446 Adult female survival 2019
#> 28 5 1.062748e+03 6.009500e+02 1641.3500000 Female population size 2019
#> 29 5 1.602431e-01 3.961050e-02 0.3781047 Adjusted recruitment 2019
#> 30 5 3.042773e-01 7.235871e-02 0.7141452 Recruitment 2019
#> 31 6 3.146683e-01 7.505006e-02 0.7065397 Recruitment 2020
#> 32 6 1.073177e+03 6.149500e+02 1701.3500000 Female population size 2020
#> 33 6 8.749662e-01 7.014073e-01 0.9951983 Adult female survival 2020
#> 34 6 1.022173e+00 8.907153e-01 1.1541242 Population growth rate 2020
#> 35 6 1.655731e-01 3.885557e-02 0.3778824 Adjusted recruitment 2020
#> 36 7 8.738624e-01 7.034226e-01 0.9984884 Adult female survival 2021
#> 37 7 1.063048e+03 6.069750e+02 1656.2000000 Female population size 2021
#> 38 7 3.128834e-01 7.669009e-02 0.6995533 Recruitment 2021
#> 39 7 1.016433e+00 8.828645e-01 1.1527237 Population growth rate 2021
#> 40 7 1.646848e-01 3.964683e-02 0.3728333 Adjusted recruitment 2021
#> 41 8 1.631344e-01 3.217207e-02 0.3623778 Adjusted recruitment 2022
#> 42 8 3.103685e-01 6.481186e-02 0.6861146 Recruitment 2022
#> 43 8 8.686224e-01 6.817755e-01 0.9968080 Adult female survival 2022
#> 44 8 1.014412e+00 8.807854e-01 1.1510617 Population growth rate 2022
#> 45 8 1.049269e+03 5.809750e+02 1636.1250000 Female population size 2022
#> 46 9 1.035876e+03 6.018500e+02 1641.2000000 Female population size 2023
#> 47 9 1.011953e+00 8.781726e-01 1.1520458 Population growth rate 2023
#> 48 9 3.012972e-01 6.832807e-02 0.6801797 Recruitment 2023
#> 49 9 8.712789e-01 6.787376e-01 0.9964863 Adult female survival 2023
#> 50 9 1.585965e-01 3.588128e-02 0.3572100 Adjusted recruitment 2023
#> 51 14 2.762455e-01 6.059837e-02 0.6281874 Recruitment 2024
#> 52 14 9.939974e-01 8.605870e-01 1.1363401 Population growth rate 2024
#> 53 14 9.910810e+02 5.650000e+02 1600.1250000 Female population size 2024
#> 54 14 8.617241e-01 6.768205e-01 0.9945853 Adult female survival 2024
#> 55 14 1.455754e-01 3.157901e-02 0.3424196 Adjusted recruitment 2024
#> 56 19 8.651733e-01 6.832575e-01 0.9904215 Adult female survival 2025
#> 57 19 9.802897e-01 8.461744e-01 1.1142427 Population growth rate 2025
#> 58 19 2.487437e-01 5.183732e-02 0.6291037 Recruitment 2025
#> 59 19 1.305276e-01 2.718566e-02 0.3361847 Adjusted recruitment 2025
#> 60 19 9.558520e+02 5.359250e+02 1536.1500000 Female population size 2025
#> 61 24 9.659338e-01 8.407623e-01 1.0936211 Population growth rate 2026
#> 62 24 9.177670e+02 5.259000e+02 1493.2000000 Female population size 2026
#> 63 24 1.232405e-01 2.711857e-02 0.3118960 Adjusted recruitment 2026
#> 64 24 8.626245e-01 6.803477e-01 0.9921417 Adult female survival 2026
#> 65 24 2.344242e-01 5.058897e-02 0.5876992 Recruitment 2026
#> 66 29 9.581732e-01 8.327777e-01 1.0949322 Population growth rate 2027
#> 67 29 8.943710e+02 5.029500e+02 1439.1750000 Female population size 2027
#> 68 29 8.577148e-01 6.754052e-01 0.9939144 Adult female survival 2027
#> 69 29 2.335148e-01 4.438199e-02 0.6041639 Recruitment 2027
#> 70 29 1.226167e-01 2.389333e-02 0.3175459 Adjusted recruitment 2027
#> 71 34 8.512990e-01 6.755953e-01 0.9870567 Adult female survival 2028
#> 72 34 9.399701e-01 8.134422e-01 1.0675915 Population growth rate 2028
#> 73 34 8.399980e+02 4.809250e+02 1321.1000000 Female population size 2028
#> 74 34 1.032403e-01 1.807012e-02 0.2830502 Adjusted recruitment 2028
#> 75 34 1.962597e-01 3.503622e-02 0.5278525 Recruitment 2028
#> 76 39 9.463267e-02 1.564644e-02 0.2674092 Adjusted recruitment 2029
#> 77 39 1.798273e-01 3.207042e-02 0.4914924 Recruitment 2029
#> 78 39 8.515901e-01 6.750092e-01 0.9890065 Adult female survival 2029
#> 79 39 9.302475e-01 8.009542e-01 1.0590577 Population growth rate 2029
#> 80 39 8.156730e+02 4.739750e+02 1344.0500000 Female population size 2029
#> 81 44 1.761218e-01 2.696192e-02 0.4967163 Recruitment 2030
#> 82 44 9.247437e-02 1.438491e-02 0.2580290 Adjusted recruitment 2030
#> 83 44 7.960130e+02 4.579750e+02 1246.0250000 Female population size 2030
#> 84 44 8.497960e-01 6.849186e-01 0.9915047 Adult female survival 2030
#> 85 44 9.210306e-01 7.958538e-01 1.0466680 Population growth rate 2030
#> 86 49 1.521593e-01 2.090460e-02 0.4269697 Recruitment 2031
#> 87 49 7.617720e+02 4.368750e+02 1198.2500000 Female population size 2031
#> 88 49 8.435979e-01 6.769418e-01 0.9855731 Adult female survival 2031
#> 89 49 8.006066e-02 1.095326e-02 0.2272553 Adjusted recruitment 2031
#> 90 49 9.082415e-01 7.783200e-01 1.0353637 Population growth rate 2031
#> 91 54 1.487358e-01 1.853346e-02 0.4504588 Recruitment 2032
#> 92 54 7.635510e+02 4.519750e+02 1225.4750000 Female population size 2032
#> 93 54 8.419615e-01 6.617258e-01 0.9834129 Adult female survival 2032
#> 94 54 7.829277e-02 9.914140e-03 0.2387209 Adjusted recruitment 2032
#> 95 54 9.056994e-01 7.867226e-01 1.0284086 Population growth rate 2032
#> 96 59 1.341797e-01 1.834093e-02 0.3963548 Recruitment 2033
#> 97 59 7.228770e+02 4.290000e+02 1124.0000000 Female population size 2033
#> 98 59 8.369274e-01 6.702538e-01 0.9765201 Adult female survival 2033
#> 99 59 7.064629e-02 9.954171e-03 0.2106769 Adjusted recruitment 2033
#> 100 59 8.914497e-01 7.648669e-01 1.0161925 Population growth rate 2033
#> fire_excl_anthro Total_dist iFire iAnthro obsAnthroSlope projAnthroSlope
#> 1 1.188866e-04 1.188866e-04 0 0 1 5
#> 2 1.188866e-04 1.188866e-04 0 0 1 5
#> 3 1.188866e-04 1.188866e-04 0 0 1 5
#> 4 1.188866e-04 1.188866e-04 0 0 1 5
#> 5 1.188866e-04 1.188866e-04 0 0 1 5
#> 6 7.031704e-05 1.000070e+00 0 0 1 5
#> 7 7.031704e-05 1.000070e+00 0 0 1 5
#> 8 7.031704e-05 1.000070e+00 0 0 1 5
#> 9 7.031704e-05 1.000070e+00 0 0 1 5
#> 10 7.031704e-05 1.000070e+00 0 0 1 5
#> 11 0.000000e+00 2.000000e+00 0 0 1 5
#> 12 0.000000e+00 2.000000e+00 0 0 1 5
#> 13 0.000000e+00 2.000000e+00 0 0 1 5
#> 14 0.000000e+00 2.000000e+00 0 0 1 5
#> 15 0.000000e+00 2.000000e+00 0 0 1 5
#> 16 8.861514e-05 3.000089e+00 0 0 1 5
#> 17 8.861514e-05 3.000089e+00 0 0 1 5
#> 18 8.861514e-05 3.000089e+00 0 0 1 5
#> 19 8.861514e-05 3.000089e+00 0 0 1 5
#> 20 8.861514e-05 3.000089e+00 0 0 1 5
#> 21 0.000000e+00 4.000000e+00 0 0 1 5
#> 22 0.000000e+00 4.000000e+00 0 0 1 5
#> 23 0.000000e+00 4.000000e+00 0 0 1 5
#> 24 0.000000e+00 4.000000e+00 0 0 1 5
#> 25 0.000000e+00 4.000000e+00 0 0 1 5
#> 26 1.509949e-04 5.000151e+00 0 0 1 5
#> 27 1.509949e-04 5.000151e+00 0 0 1 5
#> 28 1.509949e-04 5.000151e+00 0 0 1 5
#> 29 1.509949e-04 5.000151e+00 0 0 1 5
#> 30 1.509949e-04 5.000151e+00 0 0 1 5
#> 31 0.000000e+00 6.000000e+00 0 0 1 5
#> 32 0.000000e+00 6.000000e+00 0 0 1 5
#> 33 0.000000e+00 6.000000e+00 0 0 1 5
#> 34 0.000000e+00 6.000000e+00 0 0 1 5
#> 35 0.000000e+00 6.000000e+00 0 0 1 5
#> 36 1.529326e-05 7.000015e+00 0 0 1 5
#> 37 1.529326e-05 7.000015e+00 0 0 1 5
#> 38 1.529326e-05 7.000015e+00 0 0 1 5
#> 39 1.529326e-05 7.000015e+00 0 0 1 5
#> 40 1.529326e-05 7.000015e+00 0 0 1 5
#> 41 3.939196e-05 8.000039e+00 0 0 1 5
#> 42 3.939196e-05 8.000039e+00 0 0 1 5
#> 43 3.939196e-05 8.000039e+00 0 0 1 5
#> 44 3.939196e-05 8.000039e+00 0 0 1 5
#> 45 3.939196e-05 8.000039e+00 0 0 1 5
#> 46 0.000000e+00 9.000000e+00 0 0 1 5
#> 47 0.000000e+00 9.000000e+00 0 0 1 5
#> 48 0.000000e+00 9.000000e+00 0 0 1 5
#> 49 0.000000e+00 9.000000e+00 0 0 1 5
#> 50 0.000000e+00 9.000000e+00 0 0 1 5
#> 51 0.000000e+00 1.400000e+01 0 0 1 5
#> 52 0.000000e+00 1.400000e+01 0 0 1 5
#> 53 0.000000e+00 1.400000e+01 0 0 1 5
#> 54 0.000000e+00 1.400000e+01 0 0 1 5
#> 55 0.000000e+00 1.400000e+01 0 0 1 5
#> 56 6.207464e-06 1.900001e+01 0 0 1 5
#> 57 6.207464e-06 1.900001e+01 0 0 1 5
#> 58 6.207464e-06 1.900001e+01 0 0 1 5
#> 59 6.207464e-06 1.900001e+01 0 0 1 5
#> 60 6.207464e-06 1.900001e+01 0 0 1 5
#> 61 0.000000e+00 2.400000e+01 0 0 1 5
#> 62 0.000000e+00 2.400000e+01 0 0 1 5
#> 63 0.000000e+00 2.400000e+01 0 0 1 5
#> 64 0.000000e+00 2.400000e+01 0 0 1 5
#> 65 0.000000e+00 2.400000e+01 0 0 1 5
#> 66 0.000000e+00 2.900000e+01 0 0 1 5
#> 67 0.000000e+00 2.900000e+01 0 0 1 5
#> 68 0.000000e+00 2.900000e+01 0 0 1 5
#> 69 0.000000e+00 2.900000e+01 0 0 1 5
#> 70 0.000000e+00 2.900000e+01 0 0 1 5
#> 71 1.369812e-04 3.400014e+01 0 0 1 5
#> 72 1.369812e-04 3.400014e+01 0 0 1 5
#> 73 1.369812e-04 3.400014e+01 0 0 1 5
#> 74 1.369812e-04 3.400014e+01 0 0 1 5
#> 75 1.369812e-04 3.400014e+01 0 0 1 5
#> 76 3.567506e-05 3.900004e+01 0 0 1 5
#> 77 3.567506e-05 3.900004e+01 0 0 1 5
#> 78 3.567506e-05 3.900004e+01 0 0 1 5
#> 79 3.567506e-05 3.900004e+01 0 0 1 5
#> 80 3.567506e-05 3.900004e+01 0 0 1 5
#> 81 0.000000e+00 4.400000e+01 0 0 1 5
#> 82 0.000000e+00 4.400000e+01 0 0 1 5
#> 83 0.000000e+00 4.400000e+01 0 0 1 5
#> 84 0.000000e+00 4.400000e+01 0 0 1 5
#> 85 0.000000e+00 4.400000e+01 0 0 1 5
#> 86 1.312139e-04 4.900013e+01 0 0 1 5
#> 87 1.312139e-04 4.900013e+01 0 0 1 5
#> 88 1.312139e-04 4.900013e+01 0 0 1 5
#> 89 1.312139e-04 4.900013e+01 0 0 1 5
#> 90 1.312139e-04 4.900013e+01 0 0 1 5
#> 91 0.000000e+00 5.400000e+01 0 0 1 5
#> 92 0.000000e+00 5.400000e+01 0 0 1 5
#> 93 0.000000e+00 5.400000e+01 0 0 1 5
#> 94 0.000000e+00 5.400000e+01 0 0 1 5
#> 95 0.000000e+00 5.400000e+01 0 0 1 5
#> 96 2.350460e-05 5.900002e+01 0 0 1 5
#> 97 2.350460e-05 5.900002e+01 0 0 1 5
#> 98 2.350460e-05 5.900002e+01 0 0 1 5
#> 99 2.350460e-05 5.900002e+01 0 0 1 5
#> 100 2.350460e-05 5.900002e+01 0 0 1 5
#> rSlopeMod sSlopeMod rQuantile sQuantile projYears obsYears preYears N0
#> 1 1 1 0.5 0.5 10 10 0 1000
#> 2 1 1 0.5 0.5 10 10 0 1000
#> 3 1 1 0.5 0.5 10 10 0 1000
#> 4 1 1 0.5 0.5 10 10 0 1000
#> 5 1 1 0.5 0.5 10 10 0 1000
#> 6 1 1 0.5 0.5 10 10 0 1000
#> 7 1 1 0.5 0.5 10 10 0 1000
#> 8 1 1 0.5 0.5 10 10 0 1000
#> 9 1 1 0.5 0.5 10 10 0 1000
#> 10 1 1 0.5 0.5 10 10 0 1000
#> 11 1 1 0.5 0.5 10 10 0 1000
#> 12 1 1 0.5 0.5 10 10 0 1000
#> 13 1 1 0.5 0.5 10 10 0 1000
#> 14 1 1 0.5 0.5 10 10 0 1000
#> 15 1 1 0.5 0.5 10 10 0 1000
#> 16 1 1 0.5 0.5 10 10 0 1000
#> 17 1 1 0.5 0.5 10 10 0 1000
#> 18 1 1 0.5 0.5 10 10 0 1000
#> 19 1 1 0.5 0.5 10 10 0 1000
#> 20 1 1 0.5 0.5 10 10 0 1000
#> 21 1 1 0.5 0.5 10 10 0 1000
#> 22 1 1 0.5 0.5 10 10 0 1000
#> 23 1 1 0.5 0.5 10 10 0 1000
#> 24 1 1 0.5 0.5 10 10 0 1000
#> 25 1 1 0.5 0.5 10 10 0 1000
#> 26 1 1 0.5 0.5 10 10 0 1000
#> 27 1 1 0.5 0.5 10 10 0 1000
#> 28 1 1 0.5 0.5 10 10 0 1000
#> 29 1 1 0.5 0.5 10 10 0 1000
#> 30 1 1 0.5 0.5 10 10 0 1000
#> 31 1 1 0.5 0.5 10 10 0 1000
#> 32 1 1 0.5 0.5 10 10 0 1000
#> 33 1 1 0.5 0.5 10 10 0 1000
#> 34 1 1 0.5 0.5 10 10 0 1000
#> 35 1 1 0.5 0.5 10 10 0 1000
#> 36 1 1 0.5 0.5 10 10 0 1000
#> 37 1 1 0.5 0.5 10 10 0 1000
#> 38 1 1 0.5 0.5 10 10 0 1000
#> 39 1 1 0.5 0.5 10 10 0 1000
#> 40 1 1 0.5 0.5 10 10 0 1000
#> 41 1 1 0.5 0.5 10 10 0 1000
#> 42 1 1 0.5 0.5 10 10 0 1000
#> 43 1 1 0.5 0.5 10 10 0 1000
#> 44 1 1 0.5 0.5 10 10 0 1000
#> 45 1 1 0.5 0.5 10 10 0 1000
#> 46 1 1 0.5 0.5 10 10 0 1000
#> 47 1 1 0.5 0.5 10 10 0 1000
#> 48 1 1 0.5 0.5 10 10 0 1000
#> 49 1 1 0.5 0.5 10 10 0 1000
#> 50 1 1 0.5 0.5 10 10 0 1000
#> 51 1 1 0.5 0.5 10 10 0 1000
#> 52 1 1 0.5 0.5 10 10 0 1000
#> 53 1 1 0.5 0.5 10 10 0 1000
#> 54 1 1 0.5 0.5 10 10 0 1000
#> 55 1 1 0.5 0.5 10 10 0 1000
#> 56 1 1 0.5 0.5 10 10 0 1000
#> 57 1 1 0.5 0.5 10 10 0 1000
#> 58 1 1 0.5 0.5 10 10 0 1000
#> 59 1 1 0.5 0.5 10 10 0 1000
#> 60 1 1 0.5 0.5 10 10 0 1000
#> 61 1 1 0.5 0.5 10 10 0 1000
#> 62 1 1 0.5 0.5 10 10 0 1000
#> 63 1 1 0.5 0.5 10 10 0 1000
#> 64 1 1 0.5 0.5 10 10 0 1000
#> 65 1 1 0.5 0.5 10 10 0 1000
#> 66 1 1 0.5 0.5 10 10 0 1000
#> 67 1 1 0.5 0.5 10 10 0 1000
#> 68 1 1 0.5 0.5 10 10 0 1000
#> 69 1 1 0.5 0.5 10 10 0 1000
#> 70 1 1 0.5 0.5 10 10 0 1000
#> 71 1 1 0.5 0.5 10 10 0 1000
#> 72 1 1 0.5 0.5 10 10 0 1000
#> 73 1 1 0.5 0.5 10 10 0 1000
#> 74 1 1 0.5 0.5 10 10 0 1000
#> 75 1 1 0.5 0.5 10 10 0 1000
#> 76 1 1 0.5 0.5 10 10 0 1000
#> 77 1 1 0.5 0.5 10 10 0 1000
#> 78 1 1 0.5 0.5 10 10 0 1000
#> 79 1 1 0.5 0.5 10 10 0 1000
#> 80 1 1 0.5 0.5 10 10 0 1000
#> 81 1 1 0.5 0.5 10 10 0 1000
#> 82 1 1 0.5 0.5 10 10 0 1000
#> 83 1 1 0.5 0.5 10 10 0 1000
#> 84 1 1 0.5 0.5 10 10 0 1000
#> 85 1 1 0.5 0.5 10 10 0 1000
#> 86 1 1 0.5 0.5 10 10 0 1000
#> 87 1 1 0.5 0.5 10 10 0 1000
#> 88 1 1 0.5 0.5 10 10 0 1000
#> 89 1 1 0.5 0.5 10 10 0 1000
#> 90 1 1 0.5 0.5 10 10 0 1000
#> 91 1 1 0.5 0.5 10 10 0 1000
#> 92 1 1 0.5 0.5 10 10 0 1000
#> 93 1 1 0.5 0.5 10 10 0 1000
#> 94 1 1 0.5 0.5 10 10 0 1000
#> 95 1 1 0.5 0.5 10 10 0 1000
#> 96 1 1 0.5 0.5 10 10 0 1000
#> 97 1 1 0.5 0.5 10 10 0 1000
#> 98 1 1 0.5 0.5 10 10 0 1000
#> 99 1 1 0.5 0.5 10 10 0 1000
#> 100 1 1 0.5 0.5 10 10 0 1000
#> assessmentYrs qMin qMax uMin uMax zMin zMax cowMult collarCount
#> 1 3 0 0.6 0 0.2 0 0.2 5 20
#> 2 3 0 0.6 0 0.2 0 0.2 5 20
#> 3 3 0 0.6 0 0.2 0 0.2 5 20
#> 4 3 0 0.6 0 0.2 0 0.2 5 20
#> 5 3 0 0.6 0 0.2 0 0.2 5 20
#> 6 3 0 0.6 0 0.2 0 0.2 5 20
#> 7 3 0 0.6 0 0.2 0 0.2 5 20
#> 8 3 0 0.6 0 0.2 0 0.2 5 20
#> 9 3 0 0.6 0 0.2 0 0.2 5 20
#> 10 3 0 0.6 0 0.2 0 0.2 5 20
#> 11 3 0 0.6 0 0.2 0 0.2 5 20
#> 12 3 0 0.6 0 0.2 0 0.2 5 20
#> 13 3 0 0.6 0 0.2 0 0.2 5 20
#> 14 3 0 0.6 0 0.2 0 0.2 5 20
#> 15 3 0 0.6 0 0.2 0 0.2 5 20
#> 16 3 0 0.6 0 0.2 0 0.2 5 20
#> 17 3 0 0.6 0 0.2 0 0.2 5 20
#> 18 3 0 0.6 0 0.2 0 0.2 5 20
#> 19 3 0 0.6 0 0.2 0 0.2 5 20
#> 20 3 0 0.6 0 0.2 0 0.2 5 20
#> 21 3 0 0.6 0 0.2 0 0.2 5 20
#> 22 3 0 0.6 0 0.2 0 0.2 5 20
#> 23 3 0 0.6 0 0.2 0 0.2 5 20
#> 24 3 0 0.6 0 0.2 0 0.2 5 20
#> 25 3 0 0.6 0 0.2 0 0.2 5 20
#> 26 3 0 0.6 0 0.2 0 0.2 5 20
#> 27 3 0 0.6 0 0.2 0 0.2 5 20
#> 28 3 0 0.6 0 0.2 0 0.2 5 20
#> 29 3 0 0.6 0 0.2 0 0.2 5 20
#> 30 3 0 0.6 0 0.2 0 0.2 5 20
#> 31 3 0 0.6 0 0.2 0 0.2 5 20
#> 32 3 0 0.6 0 0.2 0 0.2 5 20
#> 33 3 0 0.6 0 0.2 0 0.2 5 20
#> 34 3 0 0.6 0 0.2 0 0.2 5 20
#> 35 3 0 0.6 0 0.2 0 0.2 5 20
#> 36 3 0 0.6 0 0.2 0 0.2 5 20
#> 37 3 0 0.6 0 0.2 0 0.2 5 20
#> 38 3 0 0.6 0 0.2 0 0.2 5 20
#> 39 3 0 0.6 0 0.2 0 0.2 5 20
#> 40 3 0 0.6 0 0.2 0 0.2 5 20
#> 41 3 0 0.6 0 0.2 0 0.2 5 20
#> 42 3 0 0.6 0 0.2 0 0.2 5 20
#> 43 3 0 0.6 0 0.2 0 0.2 5 20
#> 44 3 0 0.6 0 0.2 0 0.2 5 20
#> 45 3 0 0.6 0 0.2 0 0.2 5 20
#> 46 3 0 0.6 0 0.2 0 0.2 5 20
#> 47 3 0 0.6 0 0.2 0 0.2 5 20
#> 48 3 0 0.6 0 0.2 0 0.2 5 20
#> 49 3 0 0.6 0 0.2 0 0.2 5 20
#> 50 3 0 0.6 0 0.2 0 0.2 5 20
#> 51 3 0 0.6 0 0.2 0 0.2 5 20
#> 52 3 0 0.6 0 0.2 0 0.2 5 20
#> 53 3 0 0.6 0 0.2 0 0.2 5 20
#> 54 3 0 0.6 0 0.2 0 0.2 5 20
#> 55 3 0 0.6 0 0.2 0 0.2 5 20
#> 56 3 0 0.6 0 0.2 0 0.2 5 20
#> 57 3 0 0.6 0 0.2 0 0.2 5 20
#> 58 3 0 0.6 0 0.2 0 0.2 5 20
#> 59 3 0 0.6 0 0.2 0 0.2 5 20
#> 60 3 0 0.6 0 0.2 0 0.2 5 20
#> 61 3 0 0.6 0 0.2 0 0.2 5 20
#> 62 3 0 0.6 0 0.2 0 0.2 5 20
#> 63 3 0 0.6 0 0.2 0 0.2 5 20
#> 64 3 0 0.6 0 0.2 0 0.2 5 20
#> 65 3 0 0.6 0 0.2 0 0.2 5 20
#> 66 3 0 0.6 0 0.2 0 0.2 5 20
#> 67 3 0 0.6 0 0.2 0 0.2 5 20
#> 68 3 0 0.6 0 0.2 0 0.2 5 20
#> 69 3 0 0.6 0 0.2 0 0.2 5 20
#> 70 3 0 0.6 0 0.2 0 0.2 5 20
#> 71 3 0 0.6 0 0.2 0 0.2 5 20
#> 72 3 0 0.6 0 0.2 0 0.2 5 20
#> 73 3 0 0.6 0 0.2 0 0.2 5 20
#> 74 3 0 0.6 0 0.2 0 0.2 5 20
#> 75 3 0 0.6 0 0.2 0 0.2 5 20
#> 76 3 0 0.6 0 0.2 0 0.2 5 20
#> 77 3 0 0.6 0 0.2 0 0.2 5 20
#> 78 3 0 0.6 0 0.2 0 0.2 5 20
#> 79 3 0 0.6 0 0.2 0 0.2 5 20
#> 80 3 0 0.6 0 0.2 0 0.2 5 20
#> 81 3 0 0.6 0 0.2 0 0.2 5 20
#> 82 3 0 0.6 0 0.2 0 0.2 5 20
#> 83 3 0 0.6 0 0.2 0 0.2 5 20
#> 84 3 0 0.6 0 0.2 0 0.2 5 20
#> 85 3 0 0.6 0 0.2 0 0.2 5 20
#> 86 3 0 0.6 0 0.2 0 0.2 5 20
#> 87 3 0 0.6 0 0.2 0 0.2 5 20
#> 88 3 0 0.6 0 0.2 0 0.2 5 20
#> 89 3 0 0.6 0 0.2 0 0.2 5 20
#> 90 3 0 0.6 0 0.2 0 0.2 5 20
#> 91 3 0 0.6 0 0.2 0 0.2 5 20
#> 92 3 0 0.6 0 0.2 0 0.2 5 20
#> 93 3 0 0.6 0 0.2 0 0.2 5 20
#> 94 3 0 0.6 0 0.2 0 0.2 5 20
#> 95 3 0 0.6 0 0.2 0 0.2 5 20
#> 96 3 0 0.6 0 0.2 0 0.2 5 20
#> 97 3 0 0.6 0 0.2 0 0.2 5 20
#> 98 3 0 0.6 0 0.2 0 0.2 5 20
#> 99 3 0 0.6 0 0.2 0 0.2 5 20
#> 100 3 0 0.6 0 0.2 0 0.2 5 20
#> interannualVar curYear ID
#> 1 0.46000, 0.08696 2023 1
#> 2 0.46000, 0.08696 2023 1
#> 3 0.46000, 0.08696 2023 1
#> 4 0.46000, 0.08696 2023 1
#> 5 0.46000, 0.08696 2023 1
#> 6 0.46000, 0.08696 2023 1
#> 7 0.46000, 0.08696 2023 1
#> 8 0.46000, 0.08696 2023 1
#> 9 0.46000, 0.08696 2023 1
#> 10 0.46000, 0.08696 2023 1
#> 11 0.46000, 0.08696 2023 1
#> 12 0.46000, 0.08696 2023 1
#> 13 0.46000, 0.08696 2023 1
#> 14 0.46000, 0.08696 2023 1
#> 15 0.46000, 0.08696 2023 1
#> 16 0.46000, 0.08696 2023 1
#> 17 0.46000, 0.08696 2023 1
#> 18 0.46000, 0.08696 2023 1
#> 19 0.46000, 0.08696 2023 1
#> 20 0.46000, 0.08696 2023 1
#> 21 0.46000, 0.08696 2023 1
#> 22 0.46000, 0.08696 2023 1
#> 23 0.46000, 0.08696 2023 1
#> 24 0.46000, 0.08696 2023 1
#> 25 0.46000, 0.08696 2023 1
#> 26 0.46000, 0.08696 2023 1
#> 27 0.46000, 0.08696 2023 1
#> 28 0.46000, 0.08696 2023 1
#> 29 0.46000, 0.08696 2023 1
#> 30 0.46000, 0.08696 2023 1
#> 31 0.46000, 0.08696 2023 1
#> 32 0.46000, 0.08696 2023 1
#> 33 0.46000, 0.08696 2023 1
#> 34 0.46000, 0.08696 2023 1
#> 35 0.46000, 0.08696 2023 1
#> 36 0.46000, 0.08696 2023 1
#> 37 0.46000, 0.08696 2023 1
#> 38 0.46000, 0.08696 2023 1
#> 39 0.46000, 0.08696 2023 1
#> 40 0.46000, 0.08696 2023 1
#> 41 0.46000, 0.08696 2023 1
#> 42 0.46000, 0.08696 2023 1
#> 43 0.46000, 0.08696 2023 1
#> 44 0.46000, 0.08696 2023 1
#> 45 0.46000, 0.08696 2023 1
#> 46 0.46000, 0.08696 2023 1
#> 47 0.46000, 0.08696 2023 1
#> 48 0.46000, 0.08696 2023 1
#> 49 0.46000, 0.08696 2023 1
#> 50 0.46000, 0.08696 2023 1
#> 51 0.46000, 0.08696 2023 1
#> 52 0.46000, 0.08696 2023 1
#> 53 0.46000, 0.08696 2023 1
#> 54 0.46000, 0.08696 2023 1
#> 55 0.46000, 0.08696 2023 1
#> 56 0.46000, 0.08696 2023 1
#> 57 0.46000, 0.08696 2023 1
#> 58 0.46000, 0.08696 2023 1
#> 59 0.46000, 0.08696 2023 1
#> 60 0.46000, 0.08696 2023 1
#> 61 0.46000, 0.08696 2023 1
#> 62 0.46000, 0.08696 2023 1
#> 63 0.46000, 0.08696 2023 1
#> 64 0.46000, 0.08696 2023 1
#> 65 0.46000, 0.08696 2023 1
#> 66 0.46000, 0.08696 2023 1
#> 67 0.46000, 0.08696 2023 1
#> 68 0.46000, 0.08696 2023 1
#> 69 0.46000, 0.08696 2023 1
#> 70 0.46000, 0.08696 2023 1
#> 71 0.46000, 0.08696 2023 1
#> 72 0.46000, 0.08696 2023 1
#> 73 0.46000, 0.08696 2023 1
#> 74 0.46000, 0.08696 2023 1
#> 75 0.46000, 0.08696 2023 1
#> 76 0.46000, 0.08696 2023 1
#> 77 0.46000, 0.08696 2023 1
#> 78 0.46000, 0.08696 2023 1
#> 79 0.46000, 0.08696 2023 1
#> 80 0.46000, 0.08696 2023 1
#> 81 0.46000, 0.08696 2023 1
#> 82 0.46000, 0.08696 2023 1
#> 83 0.46000, 0.08696 2023 1
#> 84 0.46000, 0.08696 2023 1
#> 85 0.46000, 0.08696 2023 1
#> 86 0.46000, 0.08696 2023 1
#> 87 0.46000, 0.08696 2023 1
#> 88 0.46000, 0.08696 2023 1
#> 89 0.46000, 0.08696 2023 1
#> 90 0.46000, 0.08696 2023 1
#> 91 0.46000, 0.08696 2023 1
#> 92 0.46000, 0.08696 2023 1
#> 93 0.46000, 0.08696 2023 1
#> 94 0.46000, 0.08696 2023 1
#> 95 0.46000, 0.08696 2023 1
#> 96 0.46000, 0.08696 2023 1
#> 97 0.46000, 0.08696 2023 1
#> 98 0.46000, 0.08696 2023 1
#> 99 0.46000, 0.08696 2023 1
#> 100 0.46000, 0.08696 2023 1
#> label
#> 1 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 2 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 3 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 4 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 5 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 6 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 7 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 8 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 9 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 10 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 11 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 12 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 13 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 14 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 15 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 16 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 17 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 18 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 19 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 20 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 21 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 22 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 23 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 24 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 25 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 26 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 27 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 28 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 29 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 30 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 31 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 32 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 33 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 34 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 35 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 36 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 37 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 38 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 39 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 40 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 41 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 42 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 43 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 44 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 45 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 46 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 47 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 48 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 49 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 50 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 51 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 52 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 53 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 54 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 55 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 56 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 57 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 58 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 59 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 60 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 61 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 62 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 63 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 64 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 65 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 66 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 67 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 68 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 69 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 70 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 71 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 72 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 73 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 74 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 75 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 76 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 77 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 78 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 79 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 80 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 81 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 82 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 83 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 84 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 85 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 86 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 87 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 88 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 89 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 90 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 91 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 92 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 93 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 94 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 95 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 96 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 97 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 98 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 99 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 100 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> startYear
#> 1 2014
#> 2 2014
#> 3 2014
#> 4 2014
#> 5 2014
#> 6 2014
#> 7 2014
#> 8 2014
#> 9 2014
#> 10 2014
#> 11 2014
#> 12 2014
#> 13 2014
#> 14 2014
#> 15 2014
#> 16 2014
#> 17 2014
#> 18 2014
#> 19 2014
#> 20 2014
#> 21 2014
#> 22 2014
#> 23 2014
#> 24 2014
#> 25 2014
#> 26 2014
#> 27 2014
#> 28 2014
#> 29 2014
#> 30 2014
#> 31 2014
#> 32 2014
#> 33 2014
#> 34 2014
#> 35 2014
#> 36 2014
#> 37 2014
#> 38 2014
#> 39 2014
#> 40 2014
#> 41 2014
#> 42 2014
#> 43 2014
#> 44 2014
#> 45 2014
#> 46 2014
#> 47 2014
#> 48 2014
#> 49 2014
#> 50 2014
#> 51 2014
#> 52 2014
#> 53 2014
#> 54 2014
#> 55 2014
#> 56 2014
#> 57 2014
#> 58 2014
#> 59 2014
#> 60 2014
#> 61 2014
#> 62 2014
#> 63 2014
#> 64 2014
#> 65 2014
#> 66 2014
#> 67 2014
#> 68 2014
#> 69 2014
#> 70 2014
#> 71 2014
#> 72 2014
#> 73 2014
#> 74 2014
#> 75 2014
#> 76 2014
#> 77 2014
#> 78 2014
#> 79 2014
#> 80 2014
#> 81 2014
#> 82 2014
#> 83 2014
#> 84 2014
#> 85 2014
#> 86 2014
#> 87 2014
#> 88 2014
#> 89 2014
#> 90 2014
#> 91 2014
#> 92 2014
#> 93 2014
#> 94 2014
#> 95 2014
#> 96 2014
#> 97 2014
#> 98 2014
#> 99 2014
#> 100 2014
#>
#> $obs.all
#> Year Mean parameter type Anthro fire_excl_anthro
#> 1 2014 1.700000e-01 Recruitment observed 0 1.188866e-04
#> 2 2014 1.130247e-01 Adjusted recruitment true 0 1.188866e-04
#> 3 2014 7.598857e-01 Adult female survival true 0 1.188866e-04
#> 4 2014 NA Adult female survival observed 0 1.188866e-04
#> 5 2014 1.054417e+00 Population growth rate true 0 1.188866e-04
#> 6 2014 2.043853e-01 Recruitment true 0 1.188866e-04
#> 7 2015 1.050637e+00 Population growth rate true 1 7.031704e-05
#> 8 2015 9.522774e-01 Adult female survival true 1 7.031704e-05
#> 9 2015 1.000000e+00 Adult female survival observed 1 7.031704e-05
#> 10 2015 8.460000e+02 Female population size true 1 7.031704e-05
#> 11 2015 3.800000e-01 Recruitment observed 1 7.031704e-05
#> 12 2015 2.030851e-01 Adjusted recruitment true 1 7.031704e-05
#> 13 2015 3.672437e-01 Recruitment true 1 7.031704e-05
#> 14 2016 7.500000e-01 Adult female survival observed 2 0.000000e+00
#> 15 2016 9.670000e+02 Female population size true 2 0.000000e+00
#> 16 2016 1.050647e+00 Population growth rate true 2 0.000000e+00
#> 17 2016 7.352687e-01 Adult female survival true 2 0.000000e+00
#> 18 2016 5.221889e-01 Recruitment true 2 0.000000e+00
#> 19 2016 2.887695e-01 Adjusted recruitment true 2 0.000000e+00
#> 20 2016 5.625000e-01 Recruitment observed 2 0.000000e+00
#> 21 2017 7.768921e-01 Adult female survival true 3 8.861514e-05
#> 22 2017 9.140000e+02 Female population size true 3 8.861514e-05
#> 23 2017 7.854196e-02 Adjusted recruitment true 3 8.861514e-05
#> 24 2017 9.333333e-01 Adult female survival observed 3 8.861514e-05
#> 25 2017 1.420293e-01 Recruitment true 3 8.861514e-05
#> 26 2017 1.250000e-01 Recruitment observed 3 8.861514e-05
#> 27 2017 1.046910e+00 Population growth rate true 3 8.861514e-05
#> 28 2018 1.825969e-01 Adjusted recruitment true 4 0.000000e+00
#> 29 2018 7.500000e-01 Adult female survival observed 4 0.000000e+00
#> 30 2018 7.740000e+02 Female population size true 4 0.000000e+00
#> 31 2018 3.000000e-01 Recruitment observed 4 0.000000e+00
#> 32 2018 7.873938e-01 Adult female survival true 4 0.000000e+00
#> 33 2018 3.301944e-01 Recruitment true 4 0.000000e+00
#> 34 2018 1.043217e+00 Population growth rate true 4 0.000000e+00
#> 35 2019 8.750000e-01 Adult female survival observed 5 1.509949e-04
#> 36 2019 5.789474e-01 Recruitment observed 5 1.509949e-04
#> 37 2019 3.409082e-01 Adjusted recruitment true 5 1.509949e-04
#> 38 2019 9.279353e-01 Adult female survival true 5 1.509949e-04
#> 39 2019 7.310000e+02 Female population size true 5 1.509949e-04
#> 40 2019 1.039566e+00 Population growth rate true 5 1.509949e-04
#> 41 2019 6.164725e-01 Recruitment true 5 1.509949e-04
#> 42 2020 1.035956e+00 Population growth rate true 6 0.000000e+00
#> 43 2020 9.285714e-01 Adult female survival observed 6 0.000000e+00
#> 44 2020 9.250000e+02 Female population size true 6 0.000000e+00
#> 45 2020 3.250000e-01 Recruitment observed 6 0.000000e+00
#> 46 2020 1.504953e-01 Adjusted recruitment true 6 0.000000e+00
#> 47 2020 9.660478e-01 Adult female survival true 6 0.000000e+00
#> 48 2020 2.721444e-01 Recruitment true 6 0.000000e+00
#> 49 2021 1.000000e+00 Adult female survival observed 7 1.529326e-05
#> 50 2021 7.967326e-01 Adult female survival true 7 1.529326e-05
#> 51 2021 1.024000e+03 Female population size true 7 1.529326e-05
#> 52 2021 1.032388e+00 Population growth rate true 7 1.529326e-05
#> 53 2021 2.967394e-01 Recruitment true 7 1.529326e-05
#> 54 2021 3.272727e-01 Recruitment observed 7 1.529326e-05
#> 55 2021 1.640963e-01 Adjusted recruitment true 7 1.529326e-05
#> 56 2022 7.544246e-01 Adult female survival true 8 3.939196e-05
#> 57 2022 9.000000e-01 Adult female survival observed 8 3.939196e-05
#> 58 2022 1.103329e-01 Adjusted recruitment true 8 3.939196e-05
#> 59 2022 1.995177e-01 Recruitment true 8 3.939196e-05
#> 60 2022 9.830000e+02 Female population size true 8 3.939196e-05
#> 61 2022 1.028860e+00 Population growth rate true 8 3.939196e-05
#> 62 2022 1.875000e-01 Recruitment observed 8 3.939196e-05
#> 63 2023 9.909125e-01 Adult female survival true 9 0.000000e+00
#> 64 2023 1.000000e+00 Adult female survival observed 9 0.000000e+00
#> 65 2023 8.300000e+02 Female population size true 9 0.000000e+00
#> 66 2023 2.012801e-01 Adjusted recruitment true 9 0.000000e+00
#> 67 2023 3.639798e-01 Recruitment true 9 0.000000e+00
#> 68 2023 3.777778e-01 Recruitment observed 9 0.000000e+00
#> 69 2023 1.025372e+00 Population growth rate true 9 0.000000e+00
#> 70 2024 9.910000e+02 Female population size true 14 0.000000e+00
#> 71 2024 4.243021e-02 Adjusted recruitment true 14 0.000000e+00
#> 72 2024 7.672759e-02 Recruitment true 14 0.000000e+00
#> 73 2024 NA Recruitment observed 14 0.000000e+00
#> 74 2024 NA Adult female survival observed 14 0.000000e+00
#> 75 2024 1.017468e+00 Population growth rate true 14 0.000000e+00
#> 76 2024 8.688356e-01 Adult female survival true 14 0.000000e+00
#> 77 2025 NA Adult female survival observed 19 6.207464e-06
#> 78 2025 9.232161e-01 Adult female survival true 19 6.207464e-06
#> 79 2025 8.760000e+02 Female population size true 19 6.207464e-06
#> 80 2025 NA Recruitment observed 19 6.207464e-06
#> 81 2025 2.624014e-01 Adjusted recruitment true 19 6.207464e-06
#> 82 2025 4.745068e-01 Recruitment true 19 6.207464e-06
#> 83 2025 1.005455e+00 Population growth rate true 19 6.207464e-06
#> 84 2026 NA Adult female survival observed 24 0.000000e+00
#> 85 2026 7.086720e-01 Adult female survival true 24 0.000000e+00
#> 86 2026 9.896693e-01 Population growth rate true 24 0.000000e+00
#> 87 2026 8.748678e-02 Adjusted recruitment true 24 0.000000e+00
#> 88 2026 1.582045e-01 Recruitment true 24 0.000000e+00
#> 89 2026 1.043000e+03 Female population size true 24 0.000000e+00
#> 90 2026 NA Recruitment observed 24 0.000000e+00
#> 91 2027 NA Adult female survival observed 29 0.000000e+00
#> 92 2027 NA Recruitment observed 29 0.000000e+00
#> 93 2027 1.848542e-01 Adjusted recruitment true 29 0.000000e+00
#> 94 2027 9.003199e-01 Adult female survival true 29 0.000000e+00
#> 95 2027 8.330000e+02 Female population size true 29 0.000000e+00
#> 96 2027 9.747213e-01 Population growth rate true 29 0.000000e+00
#> 97 2027 3.342764e-01 Recruitment true 29 0.000000e+00
#> 98 2028 9.605514e-01 Population growth rate true 34 1.369812e-04
#> 99 2028 9.404735e-01 Adult female survival true 34 1.369812e-04
#> 100 2028 NA Adult female survival observed 34 1.369812e-04
#> 101 2028 8.830000e+02 Female population size true 34 1.369812e-04
#> 102 2028 NA Recruitment observed 34 1.369812e-04
#> 103 2028 1.496679e-01 Adjusted recruitment true 34 1.369812e-04
#> 104 2028 2.706481e-01 Recruitment true 34 1.369812e-04
#> 105 2029 NA Adult female survival observed 39 3.567506e-05
#> 106 2029 9.300000e+02 Female population size true 39 3.567506e-05
#> 107 2029 9.471048e-01 Population growth rate true 39 3.567506e-05
#> 108 2029 8.371760e-01 Adult female survival true 39 3.567506e-05
#> 109 2029 2.794222e-01 Recruitment true 39 3.567506e-05
#> 110 2029 1.545199e-01 Adjusted recruitment true 39 3.567506e-05
#> 111 2029 NA Recruitment observed 39 3.567506e-05
#> 112 2030 8.469342e-01 Adult female survival true 44 0.000000e+00
#> 113 2030 8.930000e+02 Female population size true 44 0.000000e+00
#> 114 2030 2.711218e-01 Adjusted recruitment true 44 0.000000e+00
#> 115 2030 NA Adult female survival observed 44 0.000000e+00
#> 116 2030 4.902761e-01 Recruitment true 44 0.000000e+00
#> 117 2030 NA Recruitment observed 44 0.000000e+00
#> 118 2030 9.343306e-01 Population growth rate true 44 0.000000e+00
#> 119 2031 7.711488e-02 Adjusted recruitment true 49 1.312139e-04
#> 120 2031 NA Adult female survival observed 49 1.312139e-04
#> 121 2031 9.680000e+02 Female population size true 49 1.312139e-04
#> 122 2031 NA Recruitment observed 49 1.312139e-04
#> 123 2031 7.534904e-01 Adult female survival true 49 1.312139e-04
#> 124 2031 1.394487e-01 Recruitment true 49 1.312139e-04
#> 125 2031 9.221816e-01 Population growth rate true 49 1.312139e-04
#> 126 2032 NA Adult female survival observed 54 0.000000e+00
#> 127 2032 NA Recruitment observed 54 0.000000e+00
#> 128 2032 7.215276e-02 Adjusted recruitment true 54 0.000000e+00
#> 129 2032 8.015838e-01 Adult female survival true 54 0.000000e+00
#> 130 2032 8.030000e+02 Female population size true 54 0.000000e+00
#> 131 2032 9.106141e-01 Population growth rate true 54 0.000000e+00
#> 132 2032 1.304756e-01 Recruitment true 54 0.000000e+00
#> 133 2033 NA Adult female survival observed 59 2.350460e-05
#> 134 2033 7.906127e-02 Recruitment true 59 2.350460e-05
#> 135 2033 7.100000e+02 Female population size true 59 2.350460e-05
#> 136 2033 8.995874e-01 Population growth rate true 59 2.350460e-05
#> 137 2033 NA Recruitment observed 59 2.350460e-05
#> 138 2033 4.372074e-02 Adjusted recruitment true 59 2.350460e-05
#> 139 2033 7.351697e-01 Adult female survival true 59 2.350460e-05
#> Total_dist iFire iAnthro obsAnthroSlope projAnthroSlope rSlopeMod
#> 1 1.188866e-04 0 0 1 5 1
#> 2 1.188866e-04 0 0 1 5 1
#> 3 1.188866e-04 0 0 1 5 1
#> 4 1.188866e-04 0 0 1 5 1
#> 5 1.188866e-04 0 0 1 5 1
#> 6 1.188866e-04 0 0 1 5 1
#> 7 1.000070e+00 0 0 1 5 1
#> 8 1.000070e+00 0 0 1 5 1
#> 9 1.000070e+00 0 0 1 5 1
#> 10 1.000070e+00 0 0 1 5 1
#> 11 1.000070e+00 0 0 1 5 1
#> 12 1.000070e+00 0 0 1 5 1
#> 13 1.000070e+00 0 0 1 5 1
#> 14 2.000000e+00 0 0 1 5 1
#> 15 2.000000e+00 0 0 1 5 1
#> 16 2.000000e+00 0 0 1 5 1
#> 17 2.000000e+00 0 0 1 5 1
#> 18 2.000000e+00 0 0 1 5 1
#> 19 2.000000e+00 0 0 1 5 1
#> 20 2.000000e+00 0 0 1 5 1
#> 21 3.000089e+00 0 0 1 5 1
#> 22 3.000089e+00 0 0 1 5 1
#> 23 3.000089e+00 0 0 1 5 1
#> 24 3.000089e+00 0 0 1 5 1
#> 25 3.000089e+00 0 0 1 5 1
#> 26 3.000089e+00 0 0 1 5 1
#> 27 3.000089e+00 0 0 1 5 1
#> 28 4.000000e+00 0 0 1 5 1
#> 29 4.000000e+00 0 0 1 5 1
#> 30 4.000000e+00 0 0 1 5 1
#> 31 4.000000e+00 0 0 1 5 1
#> 32 4.000000e+00 0 0 1 5 1
#> 33 4.000000e+00 0 0 1 5 1
#> 34 4.000000e+00 0 0 1 5 1
#> 35 5.000151e+00 0 0 1 5 1
#> 36 5.000151e+00 0 0 1 5 1
#> 37 5.000151e+00 0 0 1 5 1
#> 38 5.000151e+00 0 0 1 5 1
#> 39 5.000151e+00 0 0 1 5 1
#> 40 5.000151e+00 0 0 1 5 1
#> 41 5.000151e+00 0 0 1 5 1
#> 42 6.000000e+00 0 0 1 5 1
#> 43 6.000000e+00 0 0 1 5 1
#> 44 6.000000e+00 0 0 1 5 1
#> 45 6.000000e+00 0 0 1 5 1
#> 46 6.000000e+00 0 0 1 5 1
#> 47 6.000000e+00 0 0 1 5 1
#> 48 6.000000e+00 0 0 1 5 1
#> 49 7.000015e+00 0 0 1 5 1
#> 50 7.000015e+00 0 0 1 5 1
#> 51 7.000015e+00 0 0 1 5 1
#> 52 7.000015e+00 0 0 1 5 1
#> 53 7.000015e+00 0 0 1 5 1
#> 54 7.000015e+00 0 0 1 5 1
#> 55 7.000015e+00 0 0 1 5 1
#> 56 8.000039e+00 0 0 1 5 1
#> 57 8.000039e+00 0 0 1 5 1
#> 58 8.000039e+00 0 0 1 5 1
#> 59 8.000039e+00 0 0 1 5 1
#> 60 8.000039e+00 0 0 1 5 1
#> 61 8.000039e+00 0 0 1 5 1
#> 62 8.000039e+00 0 0 1 5 1
#> 63 9.000000e+00 0 0 1 5 1
#> 64 9.000000e+00 0 0 1 5 1
#> 65 9.000000e+00 0 0 1 5 1
#> 66 9.000000e+00 0 0 1 5 1
#> 67 9.000000e+00 0 0 1 5 1
#> 68 9.000000e+00 0 0 1 5 1
#> 69 9.000000e+00 0 0 1 5 1
#> 70 1.400000e+01 0 0 1 5 1
#> 71 1.400000e+01 0 0 1 5 1
#> 72 1.400000e+01 0 0 1 5 1
#> 73 1.400000e+01 0 0 1 5 1
#> 74 1.400000e+01 0 0 1 5 1
#> 75 1.400000e+01 0 0 1 5 1
#> 76 1.400000e+01 0 0 1 5 1
#> 77 1.900001e+01 0 0 1 5 1
#> 78 1.900001e+01 0 0 1 5 1
#> 79 1.900001e+01 0 0 1 5 1
#> 80 1.900001e+01 0 0 1 5 1
#> 81 1.900001e+01 0 0 1 5 1
#> 82 1.900001e+01 0 0 1 5 1
#> 83 1.900001e+01 0 0 1 5 1
#> 84 2.400000e+01 0 0 1 5 1
#> 85 2.400000e+01 0 0 1 5 1
#> 86 2.400000e+01 0 0 1 5 1
#> 87 2.400000e+01 0 0 1 5 1
#> 88 2.400000e+01 0 0 1 5 1
#> 89 2.400000e+01 0 0 1 5 1
#> 90 2.400000e+01 0 0 1 5 1
#> 91 2.900000e+01 0 0 1 5 1
#> 92 2.900000e+01 0 0 1 5 1
#> 93 2.900000e+01 0 0 1 5 1
#> 94 2.900000e+01 0 0 1 5 1
#> 95 2.900000e+01 0 0 1 5 1
#> 96 2.900000e+01 0 0 1 5 1
#> 97 2.900000e+01 0 0 1 5 1
#> 98 3.400014e+01 0 0 1 5 1
#> 99 3.400014e+01 0 0 1 5 1
#> 100 3.400014e+01 0 0 1 5 1
#> 101 3.400014e+01 0 0 1 5 1
#> 102 3.400014e+01 0 0 1 5 1
#> 103 3.400014e+01 0 0 1 5 1
#> 104 3.400014e+01 0 0 1 5 1
#> 105 3.900004e+01 0 0 1 5 1
#> 106 3.900004e+01 0 0 1 5 1
#> 107 3.900004e+01 0 0 1 5 1
#> 108 3.900004e+01 0 0 1 5 1
#> 109 3.900004e+01 0 0 1 5 1
#> 110 3.900004e+01 0 0 1 5 1
#> 111 3.900004e+01 0 0 1 5 1
#> 112 4.400000e+01 0 0 1 5 1
#> 113 4.400000e+01 0 0 1 5 1
#> 114 4.400000e+01 0 0 1 5 1
#> 115 4.400000e+01 0 0 1 5 1
#> 116 4.400000e+01 0 0 1 5 1
#> 117 4.400000e+01 0 0 1 5 1
#> 118 4.400000e+01 0 0 1 5 1
#> 119 4.900013e+01 0 0 1 5 1
#> 120 4.900013e+01 0 0 1 5 1
#> 121 4.900013e+01 0 0 1 5 1
#> 122 4.900013e+01 0 0 1 5 1
#> 123 4.900013e+01 0 0 1 5 1
#> 124 4.900013e+01 0 0 1 5 1
#> 125 4.900013e+01 0 0 1 5 1
#> 126 5.400000e+01 0 0 1 5 1
#> 127 5.400000e+01 0 0 1 5 1
#> 128 5.400000e+01 0 0 1 5 1
#> 129 5.400000e+01 0 0 1 5 1
#> 130 5.400000e+01 0 0 1 5 1
#> 131 5.400000e+01 0 0 1 5 1
#> 132 5.400000e+01 0 0 1 5 1
#> 133 5.900002e+01 0 0 1 5 1
#> 134 5.900002e+01 0 0 1 5 1
#> 135 5.900002e+01 0 0 1 5 1
#> 136 5.900002e+01 0 0 1 5 1
#> 137 5.900002e+01 0 0 1 5 1
#> 138 5.900002e+01 0 0 1 5 1
#> 139 5.900002e+01 0 0 1 5 1
#> sSlopeMod rQuantile sQuantile projYears obsYears preYears N0
#> 1 1 0.5 0.5 10 10 0 1000
#> 2 1 0.5 0.5 10 10 0 1000
#> 3 1 0.5 0.5 10 10 0 1000
#> 4 1 0.5 0.5 10 10 0 1000
#> 5 1 0.5 0.5 10 10 0 1000
#> 6 1 0.5 0.5 10 10 0 1000
#> 7 1 0.5 0.5 10 10 0 1000
#> 8 1 0.5 0.5 10 10 0 1000
#> 9 1 0.5 0.5 10 10 0 1000
#> 10 1 0.5 0.5 10 10 0 1000
#> 11 1 0.5 0.5 10 10 0 1000
#> 12 1 0.5 0.5 10 10 0 1000
#> 13 1 0.5 0.5 10 10 0 1000
#> 14 1 0.5 0.5 10 10 0 1000
#> 15 1 0.5 0.5 10 10 0 1000
#> 16 1 0.5 0.5 10 10 0 1000
#> 17 1 0.5 0.5 10 10 0 1000
#> 18 1 0.5 0.5 10 10 0 1000
#> 19 1 0.5 0.5 10 10 0 1000
#> 20 1 0.5 0.5 10 10 0 1000
#> 21 1 0.5 0.5 10 10 0 1000
#> 22 1 0.5 0.5 10 10 0 1000
#> 23 1 0.5 0.5 10 10 0 1000
#> 24 1 0.5 0.5 10 10 0 1000
#> 25 1 0.5 0.5 10 10 0 1000
#> 26 1 0.5 0.5 10 10 0 1000
#> 27 1 0.5 0.5 10 10 0 1000
#> 28 1 0.5 0.5 10 10 0 1000
#> 29 1 0.5 0.5 10 10 0 1000
#> 30 1 0.5 0.5 10 10 0 1000
#> 31 1 0.5 0.5 10 10 0 1000
#> 32 1 0.5 0.5 10 10 0 1000
#> 33 1 0.5 0.5 10 10 0 1000
#> 34 1 0.5 0.5 10 10 0 1000
#> 35 1 0.5 0.5 10 10 0 1000
#> 36 1 0.5 0.5 10 10 0 1000
#> 37 1 0.5 0.5 10 10 0 1000
#> 38 1 0.5 0.5 10 10 0 1000
#> 39 1 0.5 0.5 10 10 0 1000
#> 40 1 0.5 0.5 10 10 0 1000
#> 41 1 0.5 0.5 10 10 0 1000
#> 42 1 0.5 0.5 10 10 0 1000
#> 43 1 0.5 0.5 10 10 0 1000
#> 44 1 0.5 0.5 10 10 0 1000
#> 45 1 0.5 0.5 10 10 0 1000
#> 46 1 0.5 0.5 10 10 0 1000
#> 47 1 0.5 0.5 10 10 0 1000
#> 48 1 0.5 0.5 10 10 0 1000
#> 49 1 0.5 0.5 10 10 0 1000
#> 50 1 0.5 0.5 10 10 0 1000
#> 51 1 0.5 0.5 10 10 0 1000
#> 52 1 0.5 0.5 10 10 0 1000
#> 53 1 0.5 0.5 10 10 0 1000
#> 54 1 0.5 0.5 10 10 0 1000
#> 55 1 0.5 0.5 10 10 0 1000
#> 56 1 0.5 0.5 10 10 0 1000
#> 57 1 0.5 0.5 10 10 0 1000
#> 58 1 0.5 0.5 10 10 0 1000
#> 59 1 0.5 0.5 10 10 0 1000
#> 60 1 0.5 0.5 10 10 0 1000
#> 61 1 0.5 0.5 10 10 0 1000
#> 62 1 0.5 0.5 10 10 0 1000
#> 63 1 0.5 0.5 10 10 0 1000
#> 64 1 0.5 0.5 10 10 0 1000
#> 65 1 0.5 0.5 10 10 0 1000
#> 66 1 0.5 0.5 10 10 0 1000
#> 67 1 0.5 0.5 10 10 0 1000
#> 68 1 0.5 0.5 10 10 0 1000
#> 69 1 0.5 0.5 10 10 0 1000
#> 70 1 0.5 0.5 10 10 0 1000
#> 71 1 0.5 0.5 10 10 0 1000
#> 72 1 0.5 0.5 10 10 0 1000
#> 73 1 0.5 0.5 10 10 0 1000
#> 74 1 0.5 0.5 10 10 0 1000
#> 75 1 0.5 0.5 10 10 0 1000
#> 76 1 0.5 0.5 10 10 0 1000
#> 77 1 0.5 0.5 10 10 0 1000
#> 78 1 0.5 0.5 10 10 0 1000
#> 79 1 0.5 0.5 10 10 0 1000
#> 80 1 0.5 0.5 10 10 0 1000
#> 81 1 0.5 0.5 10 10 0 1000
#> 82 1 0.5 0.5 10 10 0 1000
#> 83 1 0.5 0.5 10 10 0 1000
#> 84 1 0.5 0.5 10 10 0 1000
#> 85 1 0.5 0.5 10 10 0 1000
#> 86 1 0.5 0.5 10 10 0 1000
#> 87 1 0.5 0.5 10 10 0 1000
#> 88 1 0.5 0.5 10 10 0 1000
#> 89 1 0.5 0.5 10 10 0 1000
#> 90 1 0.5 0.5 10 10 0 1000
#> 91 1 0.5 0.5 10 10 0 1000
#> 92 1 0.5 0.5 10 10 0 1000
#> 93 1 0.5 0.5 10 10 0 1000
#> 94 1 0.5 0.5 10 10 0 1000
#> 95 1 0.5 0.5 10 10 0 1000
#> 96 1 0.5 0.5 10 10 0 1000
#> 97 1 0.5 0.5 10 10 0 1000
#> 98 1 0.5 0.5 10 10 0 1000
#> 99 1 0.5 0.5 10 10 0 1000
#> 100 1 0.5 0.5 10 10 0 1000
#> 101 1 0.5 0.5 10 10 0 1000
#> 102 1 0.5 0.5 10 10 0 1000
#> 103 1 0.5 0.5 10 10 0 1000
#> 104 1 0.5 0.5 10 10 0 1000
#> 105 1 0.5 0.5 10 10 0 1000
#> 106 1 0.5 0.5 10 10 0 1000
#> 107 1 0.5 0.5 10 10 0 1000
#> 108 1 0.5 0.5 10 10 0 1000
#> 109 1 0.5 0.5 10 10 0 1000
#> 110 1 0.5 0.5 10 10 0 1000
#> 111 1 0.5 0.5 10 10 0 1000
#> 112 1 0.5 0.5 10 10 0 1000
#> 113 1 0.5 0.5 10 10 0 1000
#> 114 1 0.5 0.5 10 10 0 1000
#> 115 1 0.5 0.5 10 10 0 1000
#> 116 1 0.5 0.5 10 10 0 1000
#> 117 1 0.5 0.5 10 10 0 1000
#> 118 1 0.5 0.5 10 10 0 1000
#> 119 1 0.5 0.5 10 10 0 1000
#> 120 1 0.5 0.5 10 10 0 1000
#> 121 1 0.5 0.5 10 10 0 1000
#> 122 1 0.5 0.5 10 10 0 1000
#> 123 1 0.5 0.5 10 10 0 1000
#> 124 1 0.5 0.5 10 10 0 1000
#> 125 1 0.5 0.5 10 10 0 1000
#> 126 1 0.5 0.5 10 10 0 1000
#> 127 1 0.5 0.5 10 10 0 1000
#> 128 1 0.5 0.5 10 10 0 1000
#> 129 1 0.5 0.5 10 10 0 1000
#> 130 1 0.5 0.5 10 10 0 1000
#> 131 1 0.5 0.5 10 10 0 1000
#> 132 1 0.5 0.5 10 10 0 1000
#> 133 1 0.5 0.5 10 10 0 1000
#> 134 1 0.5 0.5 10 10 0 1000
#> 135 1 0.5 0.5 10 10 0 1000
#> 136 1 0.5 0.5 10 10 0 1000
#> 137 1 0.5 0.5 10 10 0 1000
#> 138 1 0.5 0.5 10 10 0 1000
#> 139 1 0.5 0.5 10 10 0 1000
#> assessmentYrs qMin qMax uMin uMax zMin zMax cowMult collarCount
#> 1 3 0 0.6 0 0.2 0 0.2 5 20
#> 2 3 0 0.6 0 0.2 0 0.2 5 20
#> 3 3 0 0.6 0 0.2 0 0.2 5 20
#> 4 3 0 0.6 0 0.2 0 0.2 5 20
#> 5 3 0 0.6 0 0.2 0 0.2 5 20
#> 6 3 0 0.6 0 0.2 0 0.2 5 20
#> 7 3 0 0.6 0 0.2 0 0.2 5 20
#> 8 3 0 0.6 0 0.2 0 0.2 5 20
#> 9 3 0 0.6 0 0.2 0 0.2 5 20
#> 10 3 0 0.6 0 0.2 0 0.2 5 20
#> 11 3 0 0.6 0 0.2 0 0.2 5 20
#> 12 3 0 0.6 0 0.2 0 0.2 5 20
#> 13 3 0 0.6 0 0.2 0 0.2 5 20
#> 14 3 0 0.6 0 0.2 0 0.2 5 20
#> 15 3 0 0.6 0 0.2 0 0.2 5 20
#> 16 3 0 0.6 0 0.2 0 0.2 5 20
#> 17 3 0 0.6 0 0.2 0 0.2 5 20
#> 18 3 0 0.6 0 0.2 0 0.2 5 20
#> 19 3 0 0.6 0 0.2 0 0.2 5 20
#> 20 3 0 0.6 0 0.2 0 0.2 5 20
#> 21 3 0 0.6 0 0.2 0 0.2 5 20
#> 22 3 0 0.6 0 0.2 0 0.2 5 20
#> 23 3 0 0.6 0 0.2 0 0.2 5 20
#> 24 3 0 0.6 0 0.2 0 0.2 5 20
#> 25 3 0 0.6 0 0.2 0 0.2 5 20
#> 26 3 0 0.6 0 0.2 0 0.2 5 20
#> 27 3 0 0.6 0 0.2 0 0.2 5 20
#> 28 3 0 0.6 0 0.2 0 0.2 5 20
#> 29 3 0 0.6 0 0.2 0 0.2 5 20
#> 30 3 0 0.6 0 0.2 0 0.2 5 20
#> 31 3 0 0.6 0 0.2 0 0.2 5 20
#> 32 3 0 0.6 0 0.2 0 0.2 5 20
#> 33 3 0 0.6 0 0.2 0 0.2 5 20
#> 34 3 0 0.6 0 0.2 0 0.2 5 20
#> 35 3 0 0.6 0 0.2 0 0.2 5 20
#> 36 3 0 0.6 0 0.2 0 0.2 5 20
#> 37 3 0 0.6 0 0.2 0 0.2 5 20
#> 38 3 0 0.6 0 0.2 0 0.2 5 20
#> 39 3 0 0.6 0 0.2 0 0.2 5 20
#> 40 3 0 0.6 0 0.2 0 0.2 5 20
#> 41 3 0 0.6 0 0.2 0 0.2 5 20
#> 42 3 0 0.6 0 0.2 0 0.2 5 20
#> 43 3 0 0.6 0 0.2 0 0.2 5 20
#> 44 3 0 0.6 0 0.2 0 0.2 5 20
#> 45 3 0 0.6 0 0.2 0 0.2 5 20
#> 46 3 0 0.6 0 0.2 0 0.2 5 20
#> 47 3 0 0.6 0 0.2 0 0.2 5 20
#> 48 3 0 0.6 0 0.2 0 0.2 5 20
#> 49 3 0 0.6 0 0.2 0 0.2 5 20
#> 50 3 0 0.6 0 0.2 0 0.2 5 20
#> 51 3 0 0.6 0 0.2 0 0.2 5 20
#> 52 3 0 0.6 0 0.2 0 0.2 5 20
#> 53 3 0 0.6 0 0.2 0 0.2 5 20
#> 54 3 0 0.6 0 0.2 0 0.2 5 20
#> 55 3 0 0.6 0 0.2 0 0.2 5 20
#> 56 3 0 0.6 0 0.2 0 0.2 5 20
#> 57 3 0 0.6 0 0.2 0 0.2 5 20
#> 58 3 0 0.6 0 0.2 0 0.2 5 20
#> 59 3 0 0.6 0 0.2 0 0.2 5 20
#> 60 3 0 0.6 0 0.2 0 0.2 5 20
#> 61 3 0 0.6 0 0.2 0 0.2 5 20
#> 62 3 0 0.6 0 0.2 0 0.2 5 20
#> 63 3 0 0.6 0 0.2 0 0.2 5 20
#> 64 3 0 0.6 0 0.2 0 0.2 5 20
#> 65 3 0 0.6 0 0.2 0 0.2 5 20
#> 66 3 0 0.6 0 0.2 0 0.2 5 20
#> 67 3 0 0.6 0 0.2 0 0.2 5 20
#> 68 3 0 0.6 0 0.2 0 0.2 5 20
#> 69 3 0 0.6 0 0.2 0 0.2 5 20
#> 70 3 0 0.6 0 0.2 0 0.2 5 20
#> 71 3 0 0.6 0 0.2 0 0.2 5 20
#> 72 3 0 0.6 0 0.2 0 0.2 5 20
#> 73 3 0 0.6 0 0.2 0 0.2 5 20
#> 74 3 0 0.6 0 0.2 0 0.2 5 20
#> 75 3 0 0.6 0 0.2 0 0.2 5 20
#> 76 3 0 0.6 0 0.2 0 0.2 5 20
#> 77 3 0 0.6 0 0.2 0 0.2 5 20
#> 78 3 0 0.6 0 0.2 0 0.2 5 20
#> 79 3 0 0.6 0 0.2 0 0.2 5 20
#> 80 3 0 0.6 0 0.2 0 0.2 5 20
#> 81 3 0 0.6 0 0.2 0 0.2 5 20
#> 82 3 0 0.6 0 0.2 0 0.2 5 20
#> 83 3 0 0.6 0 0.2 0 0.2 5 20
#> 84 3 0 0.6 0 0.2 0 0.2 5 20
#> 85 3 0 0.6 0 0.2 0 0.2 5 20
#> 86 3 0 0.6 0 0.2 0 0.2 5 20
#> 87 3 0 0.6 0 0.2 0 0.2 5 20
#> 88 3 0 0.6 0 0.2 0 0.2 5 20
#> 89 3 0 0.6 0 0.2 0 0.2 5 20
#> 90 3 0 0.6 0 0.2 0 0.2 5 20
#> 91 3 0 0.6 0 0.2 0 0.2 5 20
#> 92 3 0 0.6 0 0.2 0 0.2 5 20
#> 93 3 0 0.6 0 0.2 0 0.2 5 20
#> 94 3 0 0.6 0 0.2 0 0.2 5 20
#> 95 3 0 0.6 0 0.2 0 0.2 5 20
#> 96 3 0 0.6 0 0.2 0 0.2 5 20
#> 97 3 0 0.6 0 0.2 0 0.2 5 20
#> 98 3 0 0.6 0 0.2 0 0.2 5 20
#> 99 3 0 0.6 0 0.2 0 0.2 5 20
#> 100 3 0 0.6 0 0.2 0 0.2 5 20
#> 101 3 0 0.6 0 0.2 0 0.2 5 20
#> 102 3 0 0.6 0 0.2 0 0.2 5 20
#> 103 3 0 0.6 0 0.2 0 0.2 5 20
#> 104 3 0 0.6 0 0.2 0 0.2 5 20
#> 105 3 0 0.6 0 0.2 0 0.2 5 20
#> 106 3 0 0.6 0 0.2 0 0.2 5 20
#> 107 3 0 0.6 0 0.2 0 0.2 5 20
#> 108 3 0 0.6 0 0.2 0 0.2 5 20
#> 109 3 0 0.6 0 0.2 0 0.2 5 20
#> 110 3 0 0.6 0 0.2 0 0.2 5 20
#> 111 3 0 0.6 0 0.2 0 0.2 5 20
#> 112 3 0 0.6 0 0.2 0 0.2 5 20
#> 113 3 0 0.6 0 0.2 0 0.2 5 20
#> 114 3 0 0.6 0 0.2 0 0.2 5 20
#> 115 3 0 0.6 0 0.2 0 0.2 5 20
#> 116 3 0 0.6 0 0.2 0 0.2 5 20
#> 117 3 0 0.6 0 0.2 0 0.2 5 20
#> 118 3 0 0.6 0 0.2 0 0.2 5 20
#> 119 3 0 0.6 0 0.2 0 0.2 5 20
#> 120 3 0 0.6 0 0.2 0 0.2 5 20
#> 121 3 0 0.6 0 0.2 0 0.2 5 20
#> 122 3 0 0.6 0 0.2 0 0.2 5 20
#> 123 3 0 0.6 0 0.2 0 0.2 5 20
#> 124 3 0 0.6 0 0.2 0 0.2 5 20
#> 125 3 0 0.6 0 0.2 0 0.2 5 20
#> 126 3 0 0.6 0 0.2 0 0.2 5 20
#> 127 3 0 0.6 0 0.2 0 0.2 5 20
#> 128 3 0 0.6 0 0.2 0 0.2 5 20
#> 129 3 0 0.6 0 0.2 0 0.2 5 20
#> 130 3 0 0.6 0 0.2 0 0.2 5 20
#> 131 3 0 0.6 0 0.2 0 0.2 5 20
#> 132 3 0 0.6 0 0.2 0 0.2 5 20
#> 133 3 0 0.6 0 0.2 0 0.2 5 20
#> 134 3 0 0.6 0 0.2 0 0.2 5 20
#> 135 3 0 0.6 0 0.2 0 0.2 5 20
#> 136 3 0 0.6 0 0.2 0 0.2 5 20
#> 137 3 0 0.6 0 0.2 0 0.2 5 20
#> 138 3 0 0.6 0 0.2 0 0.2 5 20
#> 139 3 0 0.6 0 0.2 0 0.2 5 20
#> interannualVar curYear ID
#> 1 0.46000, 0.08696 2023 1
#> 2 0.46000, 0.08696 2023 1
#> 3 0.46000, 0.08696 2023 1
#> 4 0.46000, 0.08696 2023 1
#> 5 0.46000, 0.08696 2023 1
#> 6 0.46000, 0.08696 2023 1
#> 7 0.46000, 0.08696 2023 1
#> 8 0.46000, 0.08696 2023 1
#> 9 0.46000, 0.08696 2023 1
#> 10 0.46000, 0.08696 2023 1
#> 11 0.46000, 0.08696 2023 1
#> 12 0.46000, 0.08696 2023 1
#> 13 0.46000, 0.08696 2023 1
#> 14 0.46000, 0.08696 2023 1
#> 15 0.46000, 0.08696 2023 1
#> 16 0.46000, 0.08696 2023 1
#> 17 0.46000, 0.08696 2023 1
#> 18 0.46000, 0.08696 2023 1
#> 19 0.46000, 0.08696 2023 1
#> 20 0.46000, 0.08696 2023 1
#> 21 0.46000, 0.08696 2023 1
#> 22 0.46000, 0.08696 2023 1
#> 23 0.46000, 0.08696 2023 1
#> 24 0.46000, 0.08696 2023 1
#> 25 0.46000, 0.08696 2023 1
#> 26 0.46000, 0.08696 2023 1
#> 27 0.46000, 0.08696 2023 1
#> 28 0.46000, 0.08696 2023 1
#> 29 0.46000, 0.08696 2023 1
#> 30 0.46000, 0.08696 2023 1
#> 31 0.46000, 0.08696 2023 1
#> 32 0.46000, 0.08696 2023 1
#> 33 0.46000, 0.08696 2023 1
#> 34 0.46000, 0.08696 2023 1
#> 35 0.46000, 0.08696 2023 1
#> 36 0.46000, 0.08696 2023 1
#> 37 0.46000, 0.08696 2023 1
#> 38 0.46000, 0.08696 2023 1
#> 39 0.46000, 0.08696 2023 1
#> 40 0.46000, 0.08696 2023 1
#> 41 0.46000, 0.08696 2023 1
#> 42 0.46000, 0.08696 2023 1
#> 43 0.46000, 0.08696 2023 1
#> 44 0.46000, 0.08696 2023 1
#> 45 0.46000, 0.08696 2023 1
#> 46 0.46000, 0.08696 2023 1
#> 47 0.46000, 0.08696 2023 1
#> 48 0.46000, 0.08696 2023 1
#> 49 0.46000, 0.08696 2023 1
#> 50 0.46000, 0.08696 2023 1
#> 51 0.46000, 0.08696 2023 1
#> 52 0.46000, 0.08696 2023 1
#> 53 0.46000, 0.08696 2023 1
#> 54 0.46000, 0.08696 2023 1
#> 55 0.46000, 0.08696 2023 1
#> 56 0.46000, 0.08696 2023 1
#> 57 0.46000, 0.08696 2023 1
#> 58 0.46000, 0.08696 2023 1
#> 59 0.46000, 0.08696 2023 1
#> 60 0.46000, 0.08696 2023 1
#> 61 0.46000, 0.08696 2023 1
#> 62 0.46000, 0.08696 2023 1
#> 63 0.46000, 0.08696 2023 1
#> 64 0.46000, 0.08696 2023 1
#> 65 0.46000, 0.08696 2023 1
#> 66 0.46000, 0.08696 2023 1
#> 67 0.46000, 0.08696 2023 1
#> 68 0.46000, 0.08696 2023 1
#> 69 0.46000, 0.08696 2023 1
#> 70 0.46000, 0.08696 2023 1
#> 71 0.46000, 0.08696 2023 1
#> 72 0.46000, 0.08696 2023 1
#> 73 0.46000, 0.08696 2023 1
#> 74 0.46000, 0.08696 2023 1
#> 75 0.46000, 0.08696 2023 1
#> 76 0.46000, 0.08696 2023 1
#> 77 0.46000, 0.08696 2023 1
#> 78 0.46000, 0.08696 2023 1
#> 79 0.46000, 0.08696 2023 1
#> 80 0.46000, 0.08696 2023 1
#> 81 0.46000, 0.08696 2023 1
#> 82 0.46000, 0.08696 2023 1
#> 83 0.46000, 0.08696 2023 1
#> 84 0.46000, 0.08696 2023 1
#> 85 0.46000, 0.08696 2023 1
#> 86 0.46000, 0.08696 2023 1
#> 87 0.46000, 0.08696 2023 1
#> 88 0.46000, 0.08696 2023 1
#> 89 0.46000, 0.08696 2023 1
#> 90 0.46000, 0.08696 2023 1
#> 91 0.46000, 0.08696 2023 1
#> 92 0.46000, 0.08696 2023 1
#> 93 0.46000, 0.08696 2023 1
#> 94 0.46000, 0.08696 2023 1
#> 95 0.46000, 0.08696 2023 1
#> 96 0.46000, 0.08696 2023 1
#> 97 0.46000, 0.08696 2023 1
#> 98 0.46000, 0.08696 2023 1
#> 99 0.46000, 0.08696 2023 1
#> 100 0.46000, 0.08696 2023 1
#> 101 0.46000, 0.08696 2023 1
#> 102 0.46000, 0.08696 2023 1
#> 103 0.46000, 0.08696 2023 1
#> 104 0.46000, 0.08696 2023 1
#> 105 0.46000, 0.08696 2023 1
#> 106 0.46000, 0.08696 2023 1
#> 107 0.46000, 0.08696 2023 1
#> 108 0.46000, 0.08696 2023 1
#> 109 0.46000, 0.08696 2023 1
#> 110 0.46000, 0.08696 2023 1
#> 111 0.46000, 0.08696 2023 1
#> 112 0.46000, 0.08696 2023 1
#> 113 0.46000, 0.08696 2023 1
#> 114 0.46000, 0.08696 2023 1
#> 115 0.46000, 0.08696 2023 1
#> 116 0.46000, 0.08696 2023 1
#> 117 0.46000, 0.08696 2023 1
#> 118 0.46000, 0.08696 2023 1
#> 119 0.46000, 0.08696 2023 1
#> 120 0.46000, 0.08696 2023 1
#> 121 0.46000, 0.08696 2023 1
#> 122 0.46000, 0.08696 2023 1
#> 123 0.46000, 0.08696 2023 1
#> 124 0.46000, 0.08696 2023 1
#> 125 0.46000, 0.08696 2023 1
#> 126 0.46000, 0.08696 2023 1
#> 127 0.46000, 0.08696 2023 1
#> 128 0.46000, 0.08696 2023 1
#> 129 0.46000, 0.08696 2023 1
#> 130 0.46000, 0.08696 2023 1
#> 131 0.46000, 0.08696 2023 1
#> 132 0.46000, 0.08696 2023 1
#> 133 0.46000, 0.08696 2023 1
#> 134 0.46000, 0.08696 2023 1
#> 135 0.46000, 0.08696 2023 1
#> 136 0.46000, 0.08696 2023 1
#> 137 0.46000, 0.08696 2023 1
#> 138 0.46000, 0.08696 2023 1
#> 139 0.46000, 0.08696 2023 1
#> label
#> 1 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 2 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 3 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 4 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 5 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 6 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 7 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 8 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 9 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 10 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 11 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 12 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 13 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 14 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 15 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 16 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 17 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 18 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 19 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 20 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 21 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 22 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 23 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 24 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 25 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 26 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 27 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 28 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 29 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 30 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 31 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 32 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 33 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 34 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 35 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 36 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 37 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 38 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 39 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 40 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 41 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 42 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 43 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 44 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 45 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 46 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 47 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 48 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 49 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 50 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 51 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 52 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 53 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 54 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 55 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 56 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 57 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 58 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 59 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 60 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 61 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 62 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 63 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 64 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 65 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 66 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 67 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 68 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 69 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 70 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 71 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 72 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 73 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 74 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 75 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 76 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 77 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 78 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 79 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 80 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 81 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 82 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 83 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 84 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 85 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 86 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 87 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 88 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 89 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 90 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 91 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 92 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 93 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 94 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 95 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 96 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 97 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 98 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 99 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 100 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 101 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 102 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 103 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 104 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 105 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 106 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 107 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 108 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 109 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 110 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 111 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 112 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 113 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 114 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 115 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 116 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 117 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 118 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 119 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 120 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 121 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 122 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 123 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 124 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 125 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 126 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 127 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 128 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 129 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 130 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 131 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 132 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 133 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 134 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 135 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 136 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 137 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 138 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> 139 ID1_curYear2023_interannualVarlist(R_CV = 0.46, S_CV = 0.08696)_collarCount20_cowMult5_zMax0.2_zMin0_uMax0.2_uMin0_qMax0.6_qMin0_assessmentYrs3_N01000_preYears0_obsYears10_projYears10_sQuantile0.5_rQuantile0.5_sSlopeMod1_rSlopeMod1_projAnthroSlope5_obsAnthroSlope1_iAnthro0_iFire0_
#> startYear
#> 1 2014
#> 2 2014
#> 3 2014
#> 4 2014
#> 5 2014
#> 6 2014
#> 7 2014
#> 8 2014
#> 9 2014
#> 10 2014
#> 11 2014
#> 12 2014
#> 13 2014
#> 14 2014
#> 15 2014
#> 16 2014
#> 17 2014
#> 18 2014
#> 19 2014
#> 20 2014
#> 21 2014
#> 22 2014
#> 23 2014
#> 24 2014
#> 25 2014
#> 26 2014
#> 27 2014
#> 28 2014
#> 29 2014
#> 30 2014
#> 31 2014
#> 32 2014
#> 33 2014
#> 34 2014
#> 35 2014
#> 36 2014
#> 37 2014
#> 38 2014
#> 39 2014
#> 40 2014
#> 41 2014
#> 42 2014
#> 43 2014
#> 44 2014
#> 45 2014
#> 46 2014
#> 47 2014
#> 48 2014
#> 49 2014
#> 50 2014
#> 51 2014
#> 52 2014
#> 53 2014
#> 54 2014
#> 55 2014
#> 56 2014
#> 57 2014
#> 58 2014
#> 59 2014
#> 60 2014
#> 61 2014
#> 62 2014
#> 63 2014
#> 64 2014
#> 65 2014
#> 66 2014
#> 67 2014
#> 68 2014
#> 69 2014
#> 70 2014
#> 71 2014
#> 72 2014
#> 73 2014
#> 74 2014
#> 75 2014
#> 76 2014
#> 77 2014
#> 78 2014
#> 79 2014
#> 80 2014
#> 81 2014
#> 82 2014
#> 83 2014
#> 84 2014
#> 85 2014
#> 86 2014
#> 87 2014
#> 88 2014
#> 89 2014
#> 90 2014
#> 91 2014
#> 92 2014
#> 93 2014
#> 94 2014
#> 95 2014
#> 96 2014
#> 97 2014
#> 98 2014
#> 99 2014
#> 100 2014
#> 101 2014
#> 102 2014
#> 103 2014
#> 104 2014
#> 105 2014
#> 106 2014
#> 107 2014
#> 108 2014
#> 109 2014
#> 110 2014
#> 111 2014
#> 112 2014
#> 113 2014
#> 114 2014
#> 115 2014
#> 116 2014
#> 117 2014
#> 118 2014
#> 119 2014
#> 120 2014
#> 121 2014
#> 122 2014
#> 123 2014
#> 124 2014
#> 125 2014
#> 126 2014
#> 127 2014
#> 128 2014
#> 129 2014
#> 130 2014
#> 131 2014
#> 132 2014
#> 133 2014
#> 134 2014
#> 135 2014
#> 136 2014
#> 137 2014
#> 138 2014
#> 139 2014
#>
#> $ksDists
#> Year Parameter KSDistance KSpvalue
#> 1 2014 Female population size NA NA
#> 2 2014 Recruitment NA NA
#> 3 2014 Adjusted recruitment NA NA
#> 4 2014 Population growth rate NA NA
#> 5 2014 Adult female survival NA NA
#> 6 2015 Female population size NA NA
#> 7 2015 Population growth rate NA NA
#> 8 2015 Recruitment NA NA
#> 9 2015 Adult female survival NA NA
#> 10 2015 Adjusted recruitment NA NA
#> 11 2016 Population growth rate NA NA
#> 12 2016 Female population size NA NA
#> 13 2016 Recruitment NA NA
#> 14 2016 Adult female survival NA NA
#> 15 2016 Adjusted recruitment NA NA
#> 16 2017 Population growth rate NA NA
#> 17 2017 Female population size NA NA
#> 18 2017 Recruitment NA NA
#> 19 2017 Adult female survival NA NA
#> 20 2017 Adjusted recruitment NA NA
#> 21 2018 Recruitment NA NA
#> 22 2018 Female population size NA NA
#> 23 2018 Adult female survival NA NA
#> 24 2018 Population growth rate NA NA
#> 25 2018 Adjusted recruitment NA NA
#> 26 2019 Female population size NA NA
#> 27 2019 Population growth rate NA NA
#> 28 2019 Adult female survival NA NA
#> 29 2019 Recruitment NA NA
#> 30 2019 Adjusted recruitment NA NA
#> 31 2020 Population growth rate NA NA
#> 32 2020 Adjusted recruitment NA NA
#> 33 2020 Female population size NA NA
#> 34 2020 Adult female survival NA NA
#> 35 2020 Recruitment NA NA
#> 36 2021 Recruitment NA NA
#> 37 2021 Population growth rate NA NA
#> 38 2021 Female population size NA NA
#> 39 2021 Adult female survival NA NA
#> 40 2021 Adjusted recruitment NA NA
#> 41 2022 Recruitment NA NA
#> 42 2022 Adult female survival NA NA
#> 43 2022 Population growth rate NA NA
#> 44 2022 Female population size NA NA
#> 45 2022 Adjusted recruitment NA NA
#> 46 2023 Female population size NA NA
#> 47 2023 Recruitment NA NA
#> 48 2023 Adult female survival NA NA
#> 49 2023 Adjusted recruitment NA NA
#> 50 2023 Population growth rate NA NA
#> 51 2024 Female population size NA NA
#> 52 2024 Recruitment NA NA
#> 53 2024 Population growth rate NA NA
#> 54 2024 Adjusted recruitment NA NA
#> 55 2024 Adult female survival NA NA
#> 56 2025 Female population size NA NA
#> 57 2025 Recruitment NA NA
#> 58 2025 Population growth rate NA NA
#> 59 2025 Adult female survival NA NA
#> 60 2025 Adjusted recruitment NA NA
#> 61 2026 Recruitment NA NA
#> 62 2026 Female population size NA NA
#> 63 2026 Adult female survival NA NA
#> 64 2026 Adjusted recruitment NA NA
#> 65 2026 Population growth rate NA NA
#> 66 2027 Female population size NA NA
#> 67 2027 Recruitment NA NA
#> 68 2027 Adjusted recruitment NA NA
#> 69 2027 Population growth rate NA NA
#> 70 2027 Adult female survival NA NA
#> 71 2028 Female population size NA NA
#> 72 2028 Population growth rate NA NA
#> 73 2028 Recruitment NA NA
#> 74 2028 Adult female survival NA NA
#> 75 2028 Adjusted recruitment NA NA
#> 76 2029 Population growth rate NA NA
#> 77 2029 Female population size NA NA
#> 78 2029 Recruitment NA NA
#> 79 2029 Adult female survival NA NA
#> 80 2029 Adjusted recruitment NA NA
#> 81 2030 Population growth rate NA NA
#> 82 2030 Female population size NA NA
#> 83 2030 Recruitment NA NA
#> 84 2030 Adult female survival NA NA
#> 85 2030 Adjusted recruitment NA NA
#> 86 2031 Recruitment NA NA
#> 87 2031 Female population size NA NA
#> 88 2031 Adult female survival NA NA
#> 89 2031 Population growth rate NA NA
#> 90 2031 Adjusted recruitment NA NA
#> 91 2032 Female population size NA NA
#> 92 2032 Population growth rate NA NA
#> 93 2032 Adult female survival NA NA
#> 94 2032 Recruitment NA NA
#> 95 2032 Adjusted recruitment NA NA
#> 96 2033 Population growth rate NA NA
#> 97 2033 Adjusted recruitment NA NA
#> 98 2033 Female population size NA NA
#> 99 2033 Adult female survival NA NA
#> 100 2033 Recruitment NA NA
#>