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$simDisturbance,
Nchains = 1, Niter = 100, Nburn = 10,
Nthin = 2)
#> using Binomial survival model
getOutputTables(out, exData = simO$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 0.352 0.043 0.268 0.438
#> 3 2014 Adjusted recruitment 0.181 0.024 0.147 0.229
#> 4 2014 Population growth rate 1.112 0.046 1.027 1.201
#> 5 2014 Adult female survival 0.933 0.061 0.778 0.988
#> 6 2015 Female population size 1102.711 79.151 903.400 1189.700
#> 7 2015 Population growth rate 1.108 0.046 1.025 1.196
#> 8 2015 Recruitment 0.217 0.041 0.149 0.307
#> 9 2015 Adult female survival 0.868 0.055 0.760 0.943
#> 10 2015 Adjusted recruitment 0.112 0.022 0.073 0.165
#> 11 2016 Population growth rate 1.105 0.046 1.021 1.190
#> 12 2016 Female population size 1068.400 121.861 826.700 1243.400
#> 13 2016 Recruitment 0.230 0.037 0.172 0.295
#> 14 2016 Adult female survival 0.954 0.034 0.853 0.987
#> 15 2016 Adjusted recruitment 0.119 0.021 0.089 0.158
#> 16 2017 Population growth rate 1.101 0.045 1.016 1.185
#> 17 2017 Female population size 1141.533 141.581 864.300 1337.700
#> 18 2017 Recruitment 0.544 0.094 0.349 0.692
#> 19 2017 Adult female survival 0.958 0.035 0.886 0.990
#> 20 2017 Adjusted recruitment 0.282 0.061 0.170 0.399
#> 21 2018 Recruitment 0.395 0.051 0.277 0.476
#> 22 2018 Female population size 1401.911 207.112 1046.300 1763.700
#> 23 2018 Adult female survival 0.947 0.037 0.854 0.987
#> 24 2018 Population growth rate 1.098 0.045 1.011 1.179
#> 25 2018 Adjusted recruitment 0.204 0.031 0.135 0.256
#> 26 2019 Female population size 1602.667 263.988 1123.100 2074.900
#> 27 2019 Population growth rate 1.094 0.045 1.006 1.172
#> 28 2019 Adult female survival 0.961 0.024 0.908 0.988
#> 29 2019 Recruitment 0.153 0.034 0.089 0.210
#> 30 2019 Adjusted recruitment 0.080 0.020 0.043 0.113
#> 31 2020 Population growth rate 1.091 0.044 1.001 1.166
#> 32 2020 Adjusted recruitment 0.176 0.024 0.138 0.223
#> 33 2020 Female population size 1661.578 274.201 1153.000 2125.900
#> 34 2020 Adult female survival 0.959 0.028 0.891 0.987
#> 35 2020 Recruitment 0.340 0.036 0.280 0.400
#> 36 2021 Recruitment 0.170 0.073 0.067 0.323
#> 37 2021 Population growth rate 1.087 0.044 0.996 1.160
#> 38 2021 Female population size 1878.089 342.442 1230.400 2520.900
#> 39 2021 Adult female survival 0.964 0.027 0.909 0.989
#> 40 2021 Adjusted recruitment 0.088 0.041 0.038 0.178
#> 41 2022 Recruitment 0.339 0.046 0.258 0.417
#> 42 2022 Adult female survival 0.938 0.053 0.822 0.989
#> 43 2022 Population growth rate 1.084 0.044 0.991 1.154
#> 44 2022 Female population size 1976.644 409.300 1274.700 2891.200
#> 45 2022 Adjusted recruitment 0.175 0.026 0.126 0.220
#> 46 2023 Female population size 2190.600 506.357 1235.900 3182.700
#> 47 2023 Recruitment 0.466 0.050 0.389 0.560
#> 48 2023 Adult female survival 0.935 0.034 0.865 0.986
#> 49 2023 Adjusted recruitment 0.241 0.030 0.186 0.296
#> 50 2023 Population growth rate 1.081 0.044 0.986 1.148
#> 51 2024 Female population size 2542.889 615.356 1393.900 3574.900
#> 52 2024 Recruitment 0.291 0.141 0.060 0.631
#> 53 2024 Population growth rate 1.066 0.043 0.962 1.127
#> 54 2024 Adjusted recruitment 0.150 0.073 0.031 0.313
#> 55 2024 Adult female survival 0.929 0.044 0.831 0.985
#> 56 2025 Female population size 2728.356 722.422 1502.500 3984.000
#> 57 2025 Recruitment 0.265 0.106 0.073 0.469
#> 58 2025 Population growth rate 1.051 0.044 0.948 1.117
#> 59 2025 Adult female survival 0.939 0.043 0.807 0.989
#> 60 2025 Adjusted recruitment 0.137 0.055 0.034 0.237
#> 61 2026 Recruitment 0.248 0.132 0.081 0.548
#> 62 2026 Female population size 2929.889 868.407 1435.600 4308.500
#> 63 2026 Adult female survival 0.915 0.062 0.756 0.982
#> 64 2026 Adjusted recruitment 0.129 0.069 0.043 0.288
#> 65 2026 Population growth rate 1.038 0.044 0.939 1.108
#> 66 2027 Female population size 3038.267 1002.124 1441.600 4868.000
#> 67 2027 Recruitment 0.194 0.093 0.035 0.376
#> 68 2027 Adjusted recruitment 0.101 0.050 0.019 0.197
#> 69 2027 Population growth rate 1.026 0.045 0.922 1.099
#> 70 2027 Adult female survival 0.897 0.080 0.666 0.983
#> 71 2028 Female population size 3035.489 1119.099 1313.800 5150.500
#> 72 2028 Population growth rate 1.014 0.046 0.906 1.090
#> 73 2028 Recruitment 0.228 0.101 0.072 0.451
#> 74 2028 Adult female survival 0.913 0.079 0.701 0.986
#> 75 2028 Adjusted recruitment 0.117 0.051 0.036 0.220
#> 76 2029 Population growth rate 1.004 0.046 0.892 1.082
#> 77 2029 Female population size 3155.378 1323.646 1220.200 6043.600
#> 78 2029 Recruitment 0.185 0.101 0.030 0.399
#> 79 2029 Adult female survival 0.925 0.050 0.774 0.987
#> 80 2029 Adjusted recruitment 0.095 0.052 0.016 0.170
#> 81 2030 Population growth rate 0.994 0.047 0.878 1.072
#> 82 2030 Female population size 3226.089 1415.582 1048.500 6150.700
#> 83 2030 Recruitment 0.167 0.080 0.055 0.313
#> 84 2030 Adult female survival 0.900 0.063 0.744 0.976
#> 85 2030 Adjusted recruitment 0.087 0.043 0.027 0.156
#> 86 2031 Recruitment 0.169 0.092 0.052 0.372
#> 87 2031 Female population size 3195.533 1491.012 1024.300 6227.000
#> 88 2031 Adult female survival 0.921 0.060 0.778 0.988
#> 89 2031 Population growth rate 0.984 0.048 0.865 1.063
#> 90 2031 Adjusted recruitment 0.087 0.049 0.028 0.199
#> 91 2032 Female population size 3253.156 1584.030 879.800 6202.400
#> 92 2032 Population growth rate 0.975 0.049 0.854 1.055
#> 93 2032 Adult female survival 0.906 0.056 0.797 0.980
#> 94 2032 Recruitment 0.138 0.087 0.027 0.336
#> 95 2032 Adjusted recruitment 0.071 0.045 0.013 0.164
#> 96 2033 Population growth rate 0.967 0.050 0.843 1.048
#> 97 2033 Adjusted recruitment 0.071 0.040 0.017 0.153
#> 98 2033 Female population size 3222.844 1708.050 794.400 6806.400
#> 99 2033 Adult female survival 0.891 0.087 0.644 0.977
#> 100 2033 Recruitment 0.137 0.075 0.035 0.308
#> probViable Anthro fire_excl_anthro Total_dist iFire iAnthro
#> 1 NA 0 2.296157e-05 2.296157e-05 0 0
#> 2 NA 0 2.296157e-05 2.296157e-05 0 0
#> 3 NA 0 2.296157e-05 2.296157e-05 0 0
#> 4 0.978 0 2.296157e-05 2.296157e-05 0 0
#> 5 NA 0 2.296157e-05 2.296157e-05 0 0
#> 6 NA 1 1.720998e-04 1.000172e+00 0 0
#> 7 0.978 1 1.720998e-04 1.000172e+00 0 0
#> 8 NA 1 1.720998e-04 1.000172e+00 0 0
#> 9 NA 1 1.720998e-04 1.000172e+00 0 0
#> 10 NA 1 1.720998e-04 1.000172e+00 0 0
#> 11 0.978 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 0.978 3 0.000000e+00 3.000000e+00 0 0
#> 17 NA 3 0.000000e+00 3.000000e+00 0 0
#> 18 NA 3 0.000000e+00 3.000000e+00 0 0
#> 19 NA 3 0.000000e+00 3.000000e+00 0 0
#> 20 NA 3 0.000000e+00 3.000000e+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 0.978 4 0.000000e+00 4.000000e+00 0 0
#> 25 NA 4 0.000000e+00 4.000000e+00 0 0
#> 26 NA 5 0.000000e+00 5.000000e+00 0 0
#> 27 0.978 5 0.000000e+00 5.000000e+00 0 0
#> 28 NA 5 0.000000e+00 5.000000e+00 0 0
#> 29 NA 5 0.000000e+00 5.000000e+00 0 0
#> 30 NA 5 0.000000e+00 5.000000e+00 0 0
#> 31 0.978 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 0.000000e+00 7.000000e+00 0 0
#> 37 0.978 7 0.000000e+00 7.000000e+00 0 0
#> 38 NA 7 0.000000e+00 7.000000e+00 0 0
#> 39 NA 7 0.000000e+00 7.000000e+00 0 0
#> 40 NA 7 0.000000e+00 7.000000e+00 0 0
#> 41 NA 8 5.647801e-05 8.000056e+00 0 0
#> 42 NA 8 5.647801e-05 8.000056e+00 0 0
#> 43 0.956 8 5.647801e-05 8.000056e+00 0 0
#> 44 NA 8 5.647801e-05 8.000056e+00 0 0
#> 45 NA 8 5.647801e-05 8.000056e+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 0.956 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 0.933 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 0.000000e+00 1.900000e+01 0 0
#> 57 NA 19 0.000000e+00 1.900000e+01 0 0
#> 58 0.911 19 0.000000e+00 1.900000e+01 0 0
#> 59 NA 19 0.000000e+00 1.900000e+01 0 0
#> 60 NA 19 0.000000e+00 1.900000e+01 0 0
#> 61 NA 24 1.819017e-04 2.400018e+01 0 0
#> 62 NA 24 1.819017e-04 2.400018e+01 0 0
#> 63 NA 24 1.819017e-04 2.400018e+01 0 0
#> 64 NA 24 1.819017e-04 2.400018e+01 0 0
#> 65 0.889 24 1.819017e-04 2.400018e+01 0 0
#> 66 NA 29 2.514517e-05 2.900003e+01 0 0
#> 67 NA 29 2.514517e-05 2.900003e+01 0 0
#> 68 NA 29 2.514517e-05 2.900003e+01 0 0
#> 69 0.822 29 2.514517e-05 2.900003e+01 0 0
#> 70 NA 29 2.514517e-05 2.900003e+01 0 0
#> 71 NA 34 1.916458e-05 3.400002e+01 0 0
#> 72 0.733 34 1.916458e-05 3.400002e+01 0 0
#> 73 NA 34 1.916458e-05 3.400002e+01 0 0
#> 74 NA 34 1.916458e-05 3.400002e+01 0 0
#> 75 NA 34 1.916458e-05 3.400002e+01 0 0
#> 76 0.689 39 1.598716e-05 3.900002e+01 0 0
#> 77 NA 39 1.598716e-05 3.900002e+01 0 0
#> 78 NA 39 1.598716e-05 3.900002e+01 0 0
#> 79 NA 39 1.598716e-05 3.900002e+01 0 0
#> 80 NA 39 1.598716e-05 3.900002e+01 0 0
#> 81 0.578 44 2.175980e-05 4.400002e+01 0 0
#> 82 NA 44 2.175980e-05 4.400002e+01 0 0
#> 83 NA 44 2.175980e-05 4.400002e+01 0 0
#> 84 NA 44 2.175980e-05 4.400002e+01 0 0
#> 85 NA 44 2.175980e-05 4.400002e+01 0 0
#> 86 NA 49 0.000000e+00 4.900000e+01 0 0
#> 87 NA 49 0.000000e+00 4.900000e+01 0 0
#> 88 NA 49 0.000000e+00 4.900000e+01 0 0
#> 89 0.533 49 0.000000e+00 4.900000e+01 0 0
#> 90 NA 49 0.000000e+00 4.900000e+01 0 0
#> 91 NA 54 0.000000e+00 5.400000e+01 0 0
#> 92 0.444 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 0.333 59 9.451098e-05 5.900009e+01 0 0
#> 97 NA 59 9.451098e-05 5.900009e+01 0 0
#> 98 NA 59 9.451098e-05 5.900009e+01 0 0
#> 99 NA 59 9.451098e-05 5.900009e+01 0 0
#> 100 NA 59 9.451098e-05 5.900009e+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 1.743094e-01 3.885190e-02 0.3813958 Adjusted recruitment 2014
#> 2 0 3.334361e-01 7.377497e-02 0.7148982 Recruitment 2014
#> 3 0 1.112821e+03 6.220000e+02 1770.0750000 Female population size 2014
#> 4 0 1.041583e+00 8.983290e-01 1.1827229 Population growth rate 2014
#> 5 0 8.786372e-01 6.889635e-01 0.9985682 Adult female survival 2014
#> 6 1 1.078848e+03 6.088750e+02 1720.0250000 Female population size 2015
#> 7 1 8.720348e-01 6.835895e-01 0.9973537 Adult female survival 2015
#> 8 1 1.032049e+00 8.911790e-01 1.1661226 Population growth rate 2015
#> 9 1 1.735931e-01 3.989744e-02 0.3779063 Adjusted recruitment 2015
#> 10 1 3.320840e-01 7.728448e-02 0.7163261 Recruitment 2015
#> 11 2 8.805660e-01 7.058910e-01 0.9971025 Adult female survival 2016
#> 12 2 1.033315e+00 8.916421e-01 1.1649392 Population growth rate 2016
#> 13 2 3.317469e-01 8.135694e-02 0.7155669 Recruitment 2016
#> 14 2 1.734066e-01 4.203119e-02 0.3763173 Adjusted recruitment 2016
#> 15 2 1.115649e+03 6.238750e+02 1720.0250000 Female population size 2016
#> 16 3 1.757131e-01 4.497160e-02 0.3674891 Adjusted recruitment 2017
#> 17 3 3.366524e-01 8.467014e-02 0.7079192 Recruitment 2017
#> 18 3 1.028573e+00 8.872017e-01 1.1681934 Population growth rate 2017
#> 19 3 8.696619e-01 6.745197e-01 0.9982928 Adult female survival 2017
#> 20 3 1.077817e+03 6.079750e+02 1707.1500000 Female population size 2017
#> 21 4 1.026011e+00 8.861442e-01 1.1723386 Population growth rate 2018
#> 22 4 1.675844e-01 3.768328e-02 0.3716275 Adjusted recruitment 2018
#> 23 4 1.077642e+03 6.148000e+02 1720.1000000 Female population size 2018
#> 24 4 3.211293e-01 7.321784e-02 0.7181086 Recruitment 2018
#> 25 4 8.760442e-01 6.915087e-01 0.9980617 Adult female survival 2018
#> 26 5 1.024501e+00 8.847996e-01 1.1575093 Population growth rate 2019
#> 27 5 8.775779e-01 6.989739e-01 0.9979098 Adult female survival 2019
#> 28 5 1.084331e+03 5.989250e+02 1678.0250000 Female population size 2019
#> 29 5 1.708053e-01 4.034211e-02 0.3888902 Adjusted recruitment 2019
#> 30 5 3.265667e-01 7.752725e-02 0.7342048 Recruitment 2019
#> 31 6 3.184602e-01 8.209751e-02 0.7112919 Recruitment 2020
#> 32 6 1.067071e+03 5.860000e+02 1699.0250000 Female population size 2020
#> 33 6 8.736179e-01 6.937594e-01 0.9971576 Adult female survival 2020
#> 34 6 1.019802e+00 8.791000e-01 1.1580492 Population growth rate 2020
#> 35 6 1.668807e-01 4.262869e-02 0.3738386 Adjusted recruitment 2020
#> 36 7 8.724047e-01 6.805218e-01 0.9956412 Adult female survival 2021
#> 37 7 1.050377e+03 5.980000e+02 1676.0750000 Female population size 2021
#> 38 7 3.073813e-01 7.192730e-02 0.7126205 Recruitment 2021
#> 39 7 1.015336e+00 8.751292e-01 1.1642969 Population growth rate 2021
#> 40 7 1.606341e-01 3.703390e-02 0.3801762 Adjusted recruitment 2021
#> 41 8 1.604818e-01 4.115747e-02 0.3588380 Adjusted recruitment 2022
#> 42 8 3.069965e-01 7.687168e-02 0.6680396 Recruitment 2022
#> 43 8 8.687817e-01 6.904989e-01 0.9947596 Adult female survival 2022
#> 44 8 1.011468e+00 8.730246e-01 1.1406927 Population growth rate 2022
#> 45 8 1.040272e+03 6.019750e+02 1639.1000000 Female population size 2022
#> 46 9 1.030837e+03 5.808750e+02 1639.2000000 Female population size 2023
#> 47 9 1.008412e+00 8.779555e-01 1.1469266 Population growth rate 2023
#> 48 9 2.902949e-01 6.244932e-02 0.6659247 Recruitment 2023
#> 49 9 8.724781e-01 6.951172e-01 0.9970643 Adult female survival 2023
#> 50 9 1.516854e-01 3.238597e-02 0.3410482 Adjusted recruitment 2023
#> 51 14 2.783357e-01 6.287177e-02 0.6784782 Recruitment 2024
#> 52 14 9.906227e-01 8.595523e-01 1.1335502 Population growth rate 2024
#> 53 14 9.808460e+02 5.679750e+02 1581.0250000 Female population size 2024
#> 54 14 8.642577e-01 6.858534e-01 0.9930807 Adult female survival 2024
#> 55 14 1.456077e-01 3.092010e-02 0.3515147 Adjusted recruitment 2024
#> 56 19 8.656529e-01 6.794466e-01 0.9939518 Adult female survival 2025
#> 57 19 9.801778e-01 8.508041e-01 1.1204408 Population growth rate 2025
#> 58 19 2.579599e-01 5.529495e-02 0.6313745 Recruitment 2025
#> 59 19 1.345574e-01 2.830314e-02 0.3272470 Adjusted recruitment 2025
#> 60 19 9.483620e+02 5.498000e+02 1501.0250000 Female population size 2025
#> 61 24 9.662367e-01 8.309730e-01 1.0964464 Population growth rate 2026
#> 62 24 9.235460e+02 5.039250e+02 1456.2750000 Female population size 2026
#> 63 24 1.289859e-01 2.572631e-02 0.3417910 Adjusted recruitment 2026
#> 64 24 8.604931e-01 6.915139e-01 0.9912891 Adult female survival 2026
#> 65 24 2.463947e-01 4.955042e-02 0.6252876 Recruitment 2026
#> 66 29 9.517307e-01 8.197234e-01 1.0920678 Population growth rate 2027
#> 67 29 8.749880e+02 4.939750e+02 1433.1250000 Female population size 2027
#> 68 29 8.547600e-01 6.776409e-01 0.9892888 Adult female survival 2027
#> 69 29 2.209650e-01 3.770979e-02 0.6083467 Recruitment 2027
#> 70 29 1.158241e-01 1.954079e-02 0.3185341 Adjusted recruitment 2027
#> 71 34 8.542858e-01 6.709187e-01 0.9860305 Adult female survival 2028
#> 72 34 9.400666e-01 8.151604e-01 1.0721838 Population growth rate 2028
#> 73 34 8.443800e+02 4.850000e+02 1368.1250000 Female population size 2028
#> 74 34 1.029151e-01 1.907914e-02 0.2744702 Adjusted recruitment 2028
#> 75 34 1.966417e-01 3.644038e-02 0.5060302 Recruitment 2028
#> 76 39 9.755071e-02 1.751930e-02 0.2650793 Adjusted recruitment 2029
#> 77 39 1.868429e-01 3.515296e-02 0.5021942 Recruitment 2029
#> 78 39 8.523867e-01 6.748539e-01 0.9910495 Adult female survival 2029
#> 79 39 9.347270e-01 8.006243e-01 1.0581228 Population growth rate 2029
#> 80 39 8.299070e+02 4.800000e+02 1312.1250000 Female population size 2029
#> 81 44 1.689402e-01 2.911178e-02 0.4838792 Recruitment 2030
#> 82 44 8.840755e-02 1.488238e-02 0.2585046 Adjusted recruitment 2030
#> 83 44 7.826530e+02 4.489750e+02 1261.0250000 Female population size 2030
#> 84 44 8.434617e-01 6.711401e-01 0.9837122 Adult female survival 2030
#> 85 44 9.171144e-01 7.915424e-01 1.0355576 Population growth rate 2030
#> 86 49 1.541404e-01 2.211641e-02 0.4513118 Recruitment 2031
#> 87 49 7.657110e+02 4.419750e+02 1172.0250000 Female population size 2031
#> 88 49 8.452339e-01 6.653769e-01 0.9813091 Adult female survival 2031
#> 89 49 8.065199e-02 1.196906e-02 0.2311277 Adjusted recruitment 2031
#> 90 49 9.086228e-01 7.835313e-01 1.0253390 Population growth rate 2031
#> 91 54 1.494663e-01 1.788802e-02 0.4236465 Recruitment 2032
#> 92 54 7.529590e+02 4.289750e+02 1162.1000000 Female population size 2032
#> 93 54 8.396158e-01 6.727614e-01 0.9806159 Adult female survival 2032
#> 94 54 7.825439e-02 9.614117e-03 0.2297265 Adjusted recruitment 2032
#> 95 54 9.016269e-01 7.776342e-01 1.0203731 Population growth rate 2032
#> 96 59 1.307072e-01 1.686717e-02 0.3827848 Recruitment 2033
#> 97 59 7.204050e+02 4.169750e+02 1112.1000000 Female population size 2033
#> 98 59 8.337855e-01 6.576607e-01 0.9810610 Adult female survival 2033
#> 99 59 6.814467e-02 8.929287e-03 0.1968732 Adjusted recruitment 2033
#> 100 59 8.912540e-01 7.723435e-01 1.0093421 Population growth rate 2033
#> fire_excl_anthro Total_dist iFire iAnthro obsAnthroSlope projAnthroSlope
#> 1 2.296157e-05 2.296157e-05 0 0 1 5
#> 2 2.296157e-05 2.296157e-05 0 0 1 5
#> 3 2.296157e-05 2.296157e-05 0 0 1 5
#> 4 2.296157e-05 2.296157e-05 0 0 1 5
#> 5 2.296157e-05 2.296157e-05 0 0 1 5
#> 6 1.720998e-04 1.000172e+00 0 0 1 5
#> 7 1.720998e-04 1.000172e+00 0 0 1 5
#> 8 1.720998e-04 1.000172e+00 0 0 1 5
#> 9 1.720998e-04 1.000172e+00 0 0 1 5
#> 10 1.720998e-04 1.000172e+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 0.000000e+00 3.000000e+00 0 0 1 5
#> 17 0.000000e+00 3.000000e+00 0 0 1 5
#> 18 0.000000e+00 3.000000e+00 0 0 1 5
#> 19 0.000000e+00 3.000000e+00 0 0 1 5
#> 20 0.000000e+00 3.000000e+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 0.000000e+00 5.000000e+00 0 0 1 5
#> 27 0.000000e+00 5.000000e+00 0 0 1 5
#> 28 0.000000e+00 5.000000e+00 0 0 1 5
#> 29 0.000000e+00 5.000000e+00 0 0 1 5
#> 30 0.000000e+00 5.000000e+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 0.000000e+00 7.000000e+00 0 0 1 5
#> 37 0.000000e+00 7.000000e+00 0 0 1 5
#> 38 0.000000e+00 7.000000e+00 0 0 1 5
#> 39 0.000000e+00 7.000000e+00 0 0 1 5
#> 40 0.000000e+00 7.000000e+00 0 0 1 5
#> 41 5.647801e-05 8.000056e+00 0 0 1 5
#> 42 5.647801e-05 8.000056e+00 0 0 1 5
#> 43 5.647801e-05 8.000056e+00 0 0 1 5
#> 44 5.647801e-05 8.000056e+00 0 0 1 5
#> 45 5.647801e-05 8.000056e+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 0.000000e+00 1.900000e+01 0 0 1 5
#> 57 0.000000e+00 1.900000e+01 0 0 1 5
#> 58 0.000000e+00 1.900000e+01 0 0 1 5
#> 59 0.000000e+00 1.900000e+01 0 0 1 5
#> 60 0.000000e+00 1.900000e+01 0 0 1 5
#> 61 1.819017e-04 2.400018e+01 0 0 1 5
#> 62 1.819017e-04 2.400018e+01 0 0 1 5
#> 63 1.819017e-04 2.400018e+01 0 0 1 5
#> 64 1.819017e-04 2.400018e+01 0 0 1 5
#> 65 1.819017e-04 2.400018e+01 0 0 1 5
#> 66 2.514517e-05 2.900003e+01 0 0 1 5
#> 67 2.514517e-05 2.900003e+01 0 0 1 5
#> 68 2.514517e-05 2.900003e+01 0 0 1 5
#> 69 2.514517e-05 2.900003e+01 0 0 1 5
#> 70 2.514517e-05 2.900003e+01 0 0 1 5
#> 71 1.916458e-05 3.400002e+01 0 0 1 5
#> 72 1.916458e-05 3.400002e+01 0 0 1 5
#> 73 1.916458e-05 3.400002e+01 0 0 1 5
#> 74 1.916458e-05 3.400002e+01 0 0 1 5
#> 75 1.916458e-05 3.400002e+01 0 0 1 5
#> 76 1.598716e-05 3.900002e+01 0 0 1 5
#> 77 1.598716e-05 3.900002e+01 0 0 1 5
#> 78 1.598716e-05 3.900002e+01 0 0 1 5
#> 79 1.598716e-05 3.900002e+01 0 0 1 5
#> 80 1.598716e-05 3.900002e+01 0 0 1 5
#> 81 2.175980e-05 4.400002e+01 0 0 1 5
#> 82 2.175980e-05 4.400002e+01 0 0 1 5
#> 83 2.175980e-05 4.400002e+01 0 0 1 5
#> 84 2.175980e-05 4.400002e+01 0 0 1 5
#> 85 2.175980e-05 4.400002e+01 0 0 1 5
#> 86 0.000000e+00 4.900000e+01 0 0 1 5
#> 87 0.000000e+00 4.900000e+01 0 0 1 5
#> 88 0.000000e+00 4.900000e+01 0 0 1 5
#> 89 0.000000e+00 4.900000e+01 0 0 1 5
#> 90 0.000000e+00 4.900000e+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 9.451098e-05 5.900009e+01 0 0 1 5
#> 97 9.451098e-05 5.900009e+01 0 0 1 5
#> 98 9.451098e-05 5.900009e+01 0 0 1 5
#> 99 9.451098e-05 5.900009e+01 0 0 1 5
#> 100 9.451098e-05 5.900009e+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 3.400000e-01 Recruitment observed 0 2.296157e-05
#> 2 2014 1.333604e-01 Adjusted recruitment true 0 2.296157e-05
#> 3 2014 2.711748e-01 Recruitment true 0 2.296157e-05
#> 4 2014 NA Adult female survival observed 0 2.296157e-05
#> 5 2014 7.259139e-01 Adult female survival true 0 2.296157e-05
#> 6 2014 1.030065e+00 Population growth rate true 0 2.296157e-05
#> 7 2015 7.231185e-01 Adult female survival true 1 1.720998e-04
#> 8 2015 8.333880e-02 Adjusted recruitment true 1 1.720998e-04
#> 9 2015 1.026183e+00 Population growth rate true 1 1.720998e-04
#> 10 2015 1.882353e-01 Recruitment observed 1 1.720998e-04
#> 11 2015 7.950000e+02 Female population size true 1 1.720998e-04
#> 12 2015 1.694609e-01 Recruitment true 1 1.720998e-04
#> 13 2016 8.762772e-02 Adjusted recruitment true 2 0.000000e+00
#> 14 2016 2.100000e-01 Recruitment observed 2 0.000000e+00
#> 15 2016 1.781820e-01 Recruitment true 2 0.000000e+00
#> 16 2016 6.360000e+02 Female population size true 2 0.000000e+00
#> 17 2016 9.675744e-01 Adult female survival true 2 0.000000e+00
#> 18 2016 1.026197e+00 Population growth rate true 2 0.000000e+00
#> 19 2017 6.056463e-01 Recruitment true 3 0.000000e+00
#> 20 2017 6.700000e+02 Female population size true 3 0.000000e+00
#> 21 2017 6.400000e-01 Recruitment observed 3 0.000000e+00
#> 22 2017 2.978495e-01 Adjusted recruitment true 3 0.000000e+00
#> 23 2017 1.022371e+00 Population growth rate true 3 0.000000e+00
#> 24 2017 9.339170e-01 Adult female survival true 3 0.000000e+00
#> 25 2018 3.563121e-01 Recruitment true 4 0.000000e+00
#> 26 2018 8.290000e+02 Female population size true 4 0.000000e+00
#> 27 2018 1.752300e-01 Adjusted recruitment true 4 0.000000e+00
#> 28 2018 9.225990e-01 Adult female survival true 4 0.000000e+00
#> 29 2018 1.018602e+00 Population growth rate true 4 0.000000e+00
#> 30 2018 4.000000e-01 Recruitment observed 4 0.000000e+00
#> 31 2019 8.910000e+02 Female population size true 5 0.000000e+00
#> 32 2019 1.329880e-01 Recruitment true 5 0.000000e+00
#> 33 2019 6.540187e-02 Adjusted recruitment true 5 0.000000e+00
#> 34 2019 1.250000e-01 Recruitment observed 5 0.000000e+00
#> 35 2019 9.130667e-01 Adult female survival true 5 0.000000e+00
#> 36 2019 1.014886e+00 Population growth rate true 5 0.000000e+00
#> 37 2020 3.644309e-01 Recruitment true 6 0.000000e+00
#> 38 2020 8.870000e+02 Female population size true 6 0.000000e+00
#> 39 2020 9.755819e-01 Adult female survival true 6 0.000000e+00
#> 40 2020 3.500000e-01 Recruitment observed 6 0.000000e+00
#> 41 2020 1.792227e-01 Adjusted recruitment true 6 0.000000e+00
#> 42 2020 1.011224e+00 Population growth rate true 6 0.000000e+00
#> 43 2021 9.779599e-01 Adult female survival true 7 0.000000e+00
#> 44 2021 1.348389e-01 Recruitment true 7 0.000000e+00
#> 45 2021 6.631212e-02 Adjusted recruitment true 7 0.000000e+00
#> 46 2021 1.007615e+00 Population growth rate true 7 0.000000e+00
#> 47 2021 1.034000e+03 Female population size true 7 0.000000e+00
#> 48 2021 1.200000e-01 Recruitment observed 7 0.000000e+00
#> 49 2022 1.087000e+03 Female population size true 8 5.647801e-05
#> 50 2022 3.934888e-01 Recruitment true 8 5.647801e-05
#> 51 2022 3.473684e-01 Recruitment observed 8 5.647801e-05
#> 52 2022 1.935130e-01 Adjusted recruitment true 8 5.647801e-05
#> 53 2022 9.092406e-01 Adult female survival true 8 5.647801e-05
#> 54 2022 1.004057e+00 Population growth rate true 8 5.647801e-05
#> 55 2023 1.204000e+03 Female population size true 9 0.000000e+00
#> 56 2023 5.151162e-01 Recruitment true 9 0.000000e+00
#> 57 2023 1.000550e+00 Population growth rate true 9 0.000000e+00
#> 58 2023 9.137712e-01 Adult female survival true 9 0.000000e+00
#> 59 2023 2.533279e-01 Adjusted recruitment true 9 0.000000e+00
#> 60 2023 4.875000e-01 Recruitment observed 9 0.000000e+00
#> 61 2024 2.295791e-01 Recruitment true 14 0.000000e+00
#> 62 2024 1.364000e+03 Female population size true 14 0.000000e+00
#> 63 2024 1.129042e-01 Adjusted recruitment true 14 0.000000e+00
#> 64 2024 NA Adult female survival observed 14 0.000000e+00
#> 65 2024 7.643918e-01 Adult female survival true 14 0.000000e+00
#> 66 2024 NA Recruitment observed 14 0.000000e+00
#> 67 2024 9.926706e-01 Population growth rate true 14 0.000000e+00
#> 68 2025 2.817585e-01 Recruitment true 19 0.000000e+00
#> 69 2025 1.385654e-01 Adjusted recruitment true 19 0.000000e+00
#> 70 2025 1.147000e+03 Female population size true 19 0.000000e+00
#> 71 2025 7.426066e-01 Adult female survival true 19 0.000000e+00
#> 72 2025 NA Recruitment observed 19 0.000000e+00
#> 73 2025 NA Adult female survival observed 19 0.000000e+00
#> 74 2025 9.807961e-01 Population growth rate true 19 0.000000e+00
#> 75 2026 1.416154e-01 Adjusted recruitment true 24 1.819017e-04
#> 76 2026 9.336429e-01 Adult female survival true 24 1.819017e-04
#> 77 2026 NA Recruitment observed 24 1.819017e-04
#> 78 2026 NA Adult female survival observed 24 1.819017e-04
#> 79 2026 2.879603e-01 Recruitment true 24 1.819017e-04
#> 80 2026 9.653221e-01 Population growth rate true 24 1.819017e-04
#> 81 2026 9.830000e+02 Female population size true 24 1.819017e-04
#> 82 2027 5.842677e-02 Adjusted recruitment true 29 2.514517e-05
#> 83 2027 9.508711e-01 Population growth rate true 29 2.514517e-05
#> 84 2027 NA Recruitment observed 29 2.514517e-05
#> 85 2027 1.188048e-01 Recruitment true 29 2.514517e-05
#> 86 2027 NA Adult female survival observed 29 2.514517e-05
#> 87 2027 8.855826e-01 Adult female survival true 29 2.514517e-05
#> 88 2027 1.036000e+03 Female population size true 29 2.514517e-05
#> 89 2028 NA Recruitment observed 34 1.916458e-05
#> 90 2028 9.373551e-01 Population growth rate true 34 1.916458e-05
#> 91 2028 2.091236e-01 Adjusted recruitment true 34 1.916458e-05
#> 92 2028 4.252313e-01 Recruitment true 34 1.916458e-05
#> 93 2028 NA Adult female survival observed 34 1.916458e-05
#> 94 2028 9.005209e-01 Adult female survival true 34 1.916458e-05
#> 95 2028 9.780000e+02 Female population size true 34 1.916458e-05
#> 96 2029 7.319633e-02 Adjusted recruitment true 39 1.598716e-05
#> 97 2029 NA Recruitment observed 39 1.598716e-05
#> 98 2029 9.246940e-01 Population growth rate true 39 1.598716e-05
#> 99 2029 NA Adult female survival observed 39 1.598716e-05
#> 100 2029 1.488372e-01 Recruitment true 39 1.598716e-05
#> 101 2029 1.074000e+03 Female population size true 39 1.598716e-05
#> 102 2029 9.156299e-01 Adult female survival true 39 1.598716e-05
#> 103 2030 6.010894e-02 Adjusted recruitment true 44 2.175980e-05
#> 104 2030 NA Recruitment observed 44 2.175980e-05
#> 105 2030 NA Adult female survival observed 44 2.175980e-05
#> 106 2030 9.128143e-01 Population growth rate true 44 2.175980e-05
#> 107 2030 1.052000e+03 Female population size true 44 2.175980e-05
#> 108 2030 8.502260e-01 Adult female survival true 44 2.175980e-05
#> 109 2030 1.222254e-01 Recruitment true 44 2.175980e-05
#> 110 2031 6.693175e-02 Adjusted recruitment true 49 0.000000e+00
#> 111 2031 NA Recruitment observed 49 0.000000e+00
#> 112 2031 NA Adult female survival observed 49 0.000000e+00
#> 113 2031 9.016495e-01 Population growth rate true 49 0.000000e+00
#> 114 2031 1.360988e-01 Recruitment true 49 0.000000e+00
#> 115 2031 9.320000e+02 Female population size true 49 0.000000e+00
#> 116 2031 8.175179e-01 Adult female survival true 49 0.000000e+00
#> 117 2032 NA Recruitment observed 54 0.000000e+00
#> 118 2032 8.911386e-01 Population growth rate true 54 0.000000e+00
#> 119 2032 NA Adult female survival observed 54 0.000000e+00
#> 120 2032 8.447827e-02 Adjusted recruitment true 54 0.000000e+00
#> 121 2032 8.230000e+02 Female population size true 54 0.000000e+00
#> 122 2032 1.717779e-01 Recruitment true 54 0.000000e+00
#> 123 2032 7.542376e-01 Adult female survival true 54 0.000000e+00
#> 124 2033 8.812262e-01 Population growth rate true 59 9.451098e-05
#> 125 2033 1.600148e-01 Recruitment true 59 9.451098e-05
#> 126 2033 6.680000e+02 Female population size true 59 9.451098e-05
#> 127 2033 NA Adult female survival observed 59 9.451098e-05
#> 128 2033 NA Recruitment observed 59 9.451098e-05
#> 129 2033 7.869335e-02 Adjusted recruitment true 59 9.451098e-05
#> 130 2033 8.174081e-01 Adult female survival true 59 9.451098e-05
#> Total_dist iFire iAnthro obsAnthroSlope projAnthroSlope rSlopeMod
#> 1 2.296157e-05 0 0 1 5 1
#> 2 2.296157e-05 0 0 1 5 1
#> 3 2.296157e-05 0 0 1 5 1
#> 4 2.296157e-05 0 0 1 5 1
#> 5 2.296157e-05 0 0 1 5 1
#> 6 2.296157e-05 0 0 1 5 1
#> 7 1.000172e+00 0 0 1 5 1
#> 8 1.000172e+00 0 0 1 5 1
#> 9 1.000172e+00 0 0 1 5 1
#> 10 1.000172e+00 0 0 1 5 1
#> 11 1.000172e+00 0 0 1 5 1
#> 12 1.000172e+00 0 0 1 5 1
#> 13 2.000000e+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 3.000000e+00 0 0 1 5 1
#> 20 3.000000e+00 0 0 1 5 1
#> 21 3.000000e+00 0 0 1 5 1
#> 22 3.000000e+00 0 0 1 5 1
#> 23 3.000000e+00 0 0 1 5 1
#> 24 3.000000e+00 0 0 1 5 1
#> 25 4.000000e+00 0 0 1 5 1
#> 26 4.000000e+00 0 0 1 5 1
#> 27 4.000000e+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 5.000000e+00 0 0 1 5 1
#> 32 5.000000e+00 0 0 1 5 1
#> 33 5.000000e+00 0 0 1 5 1
#> 34 5.000000e+00 0 0 1 5 1
#> 35 5.000000e+00 0 0 1 5 1
#> 36 5.000000e+00 0 0 1 5 1
#> 37 6.000000e+00 0 0 1 5 1
#> 38 6.000000e+00 0 0 1 5 1
#> 39 6.000000e+00 0 0 1 5 1
#> 40 6.000000e+00 0 0 1 5 1
#> 41 6.000000e+00 0 0 1 5 1
#> 42 6.000000e+00 0 0 1 5 1
#> 43 7.000000e+00 0 0 1 5 1
#> 44 7.000000e+00 0 0 1 5 1
#> 45 7.000000e+00 0 0 1 5 1
#> 46 7.000000e+00 0 0 1 5 1
#> 47 7.000000e+00 0 0 1 5 1
#> 48 7.000000e+00 0 0 1 5 1
#> 49 8.000056e+00 0 0 1 5 1
#> 50 8.000056e+00 0 0 1 5 1
#> 51 8.000056e+00 0 0 1 5 1
#> 52 8.000056e+00 0 0 1 5 1
#> 53 8.000056e+00 0 0 1 5 1
#> 54 8.000056e+00 0 0 1 5 1
#> 55 9.000000e+00 0 0 1 5 1
#> 56 9.000000e+00 0 0 1 5 1
#> 57 9.000000e+00 0 0 1 5 1
#> 58 9.000000e+00 0 0 1 5 1
#> 59 9.000000e+00 0 0 1 5 1
#> 60 9.000000e+00 0 0 1 5 1
#> 61 1.400000e+01 0 0 1 5 1
#> 62 1.400000e+01 0 0 1 5 1
#> 63 1.400000e+01 0 0 1 5 1
#> 64 1.400000e+01 0 0 1 5 1
#> 65 1.400000e+01 0 0 1 5 1
#> 66 1.400000e+01 0 0 1 5 1
#> 67 1.400000e+01 0 0 1 5 1
#> 68 1.900000e+01 0 0 1 5 1
#> 69 1.900000e+01 0 0 1 5 1
#> 70 1.900000e+01 0 0 1 5 1
#> 71 1.900000e+01 0 0 1 5 1
#> 72 1.900000e+01 0 0 1 5 1
#> 73 1.900000e+01 0 0 1 5 1
#> 74 1.900000e+01 0 0 1 5 1
#> 75 2.400018e+01 0 0 1 5 1
#> 76 2.400018e+01 0 0 1 5 1
#> 77 2.400018e+01 0 0 1 5 1
#> 78 2.400018e+01 0 0 1 5 1
#> 79 2.400018e+01 0 0 1 5 1
#> 80 2.400018e+01 0 0 1 5 1
#> 81 2.400018e+01 0 0 1 5 1
#> 82 2.900003e+01 0 0 1 5 1
#> 83 2.900003e+01 0 0 1 5 1
#> 84 2.900003e+01 0 0 1 5 1
#> 85 2.900003e+01 0 0 1 5 1
#> 86 2.900003e+01 0 0 1 5 1
#> 87 2.900003e+01 0 0 1 5 1
#> 88 2.900003e+01 0 0 1 5 1
#> 89 3.400002e+01 0 0 1 5 1
#> 90 3.400002e+01 0 0 1 5 1
#> 91 3.400002e+01 0 0 1 5 1
#> 92 3.400002e+01 0 0 1 5 1
#> 93 3.400002e+01 0 0 1 5 1
#> 94 3.400002e+01 0 0 1 5 1
#> 95 3.400002e+01 0 0 1 5 1
#> 96 3.900002e+01 0 0 1 5 1
#> 97 3.900002e+01 0 0 1 5 1
#> 98 3.900002e+01 0 0 1 5 1
#> 99 3.900002e+01 0 0 1 5 1
#> 100 3.900002e+01 0 0 1 5 1
#> 101 3.900002e+01 0 0 1 5 1
#> 102 3.900002e+01 0 0 1 5 1
#> 103 4.400002e+01 0 0 1 5 1
#> 104 4.400002e+01 0 0 1 5 1
#> 105 4.400002e+01 0 0 1 5 1
#> 106 4.400002e+01 0 0 1 5 1
#> 107 4.400002e+01 0 0 1 5 1
#> 108 4.400002e+01 0 0 1 5 1
#> 109 4.400002e+01 0 0 1 5 1
#> 110 4.900000e+01 0 0 1 5 1
#> 111 4.900000e+01 0 0 1 5 1
#> 112 4.900000e+01 0 0 1 5 1
#> 113 4.900000e+01 0 0 1 5 1
#> 114 4.900000e+01 0 0 1 5 1
#> 115 4.900000e+01 0 0 1 5 1
#> 116 4.900000e+01 0 0 1 5 1
#> 117 5.400000e+01 0 0 1 5 1
#> 118 5.400000e+01 0 0 1 5 1
#> 119 5.400000e+01 0 0 1 5 1
#> 120 5.400000e+01 0 0 1 5 1
#> 121 5.400000e+01 0 0 1 5 1
#> 122 5.400000e+01 0 0 1 5 1
#> 123 5.400000e+01 0 0 1 5 1
#> 124 5.900009e+01 0 0 1 5 1
#> 125 5.900009e+01 0 0 1 5 1
#> 126 5.900009e+01 0 0 1 5 1
#> 127 5.900009e+01 0 0 1 5 1
#> 128 5.900009e+01 0 0 1 5 1
#> 129 5.900009e+01 0 0 1 5 1
#> 130 5.900009e+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
#> 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
#> 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
#> 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_
#> 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
#>
#> $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
#>