Data from: Microclimate predicts within-season distribution dynamics of montane forest birds

Frey SJK, Hadley AS, Betts MG

Date Published: September 23, 2016

DOI: http://dx.doi.org/10.5061/dryad.m35k6

 

Files in this package

Content in the Dryad Digital Repository is offered "as is." By downloading files, you agree to the Dryad Terms of Service. To the extent possible under law, the authors have waived all copyright and related or neighboring rights to this data. CC0 (opens a new window) Open Data (opens a new window)

Title ModelSel_BRCR_2012_DynamicAll
Downloaded 9 times
Description AIC model selection table and associated coefficients for brown creeper 2012 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_BRCR_2012_DynamicAll.csv (36.93 Kb)
Details View File Details
Title ModelSel_BRCR_2013_DynamicAll
Downloaded 4 times
Description AIC model selection table and associated coefficients for brown creeper 2013 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_BRCR_2013_DynamicAll.csv (36.21 Kb)
Details View File Details
Title ModelSel_CBCH_2012_DynamicAll
Downloaded 3 times
Description AIC model selection table and associated coefficients for chestnut-backed chickadee 2012 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_CBCH_2012_DynamicAll.csv (36.07 Kb)
Details View File Details
Title ModelSel_CBCH_2013_DynamicAll
Downloaded 4 times
Description AIC model selection table and associated coefficients for chestnut-backed chickadee 2013 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_CBCH_2013_DynamicAll.csv (39.07 Kb)
Details View File Details
Title ModelSel_GCKI_2012_DynamicAll
Downloaded 1 time
Description AIC model selection table and associated coefficients for golden-crowned kinglet 2012 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_GCKI_2012_DynamicAll.csv (33.62 Kb)
Details View File Details
Title ModelSel_GCKI_2013_DynamicAll
Downloaded 2 times
Description AIC model selection table and associated coefficients for golden-crowned kinglet 2013 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_GCKI_2013_DynamicAll.csv (39.4 Kb)
Details View File Details
Title ModelSel_HAFL_2012_DynamicAll
Downloaded 1 time
Description AIC model selection table and associated coefficients for Hammond's flycatcher 2012 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_HAFL_2012_DynamicAll.csv (42.56 Kb)
Details View File Details
Title ModelSel_HAFL_2013_DynamicAll
Downloaded 2 times
Description AIC model selection table and associated coefficients for Hammond's flycatcher 2013 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_HAFL_2013_DynamicAll.csv (38.58 Kb)
Details View File Details
Title ModelSel_HEWA_2012_DynamicAll
Downloaded 2 times
Description AIC model selection table and associated coefficients for hermit warbler 2012 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_HEWA_2012_DynamicAll.csv (39.21 Kb)
Details View File Details
Title ModelSel_HEWA_2013_DynamicAll
Downloaded 2 times
Description AIC model selection table and associated coefficients for hermit warbler 2013 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_HEWA_2013_DynamicAll.csv (36.49 Kb)
Details View File Details
Title ModelSel_ORJU_2012_DynamicAll
Downloaded 2 times
Description AIC model selection table and associated coefficients for dark-eyed (Oregon) junco 2012 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_ORJU_2012_DynamicAll.csv (33.76 Kb)
Details View File Details
Title ModelSel_ORJU_2013_DynamicAll
Downloaded 2 times
Description AIC model selection table and associated coefficients for dark-eyed (Oregon) junco 2013 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_ORJU_2013_DynamicAll.csv (34.16 Kb)
Details View File Details
Title ModelSel_PAWR_2012_DynamicAll
Downloaded 1 time
Description AIC model selection table and associated coefficients for Pacific wren 2012 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_PAWR_2012_DynamicAll.csv (34.16 Kb)
Details View File Details
Title ModelSel_PAWR_2013_DynamicAll
Downloaded 3 times
Description AIC model selection table and associated coefficients for Pacific wren 2013 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_PAWR_2013_DynamicAll.csv (37.78 Kb)
Details View File Details
Title ModelSel_PSFL_2012_DynamicAll
Downloaded 1 time
Description AIC model selection table and associated coefficients for Pacific-slope flycatcher 2012 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_PSFL_2012_DynamicAll.csv (37.78 Kb)
Details View File Details
Title ModelSel_PSFL_2013_DynamicAll
Downloaded 1 time
Description AIC model selection table and associated coefficients for Pacific-slope flycatcher 2013 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_PSFL_2013_DynamicAll.csv (38.95 Kb)
Details View File Details
Title ModelSel_RBNU_2012_DynamicAll
Downloaded 1 time
Description AIC model selection table and associated coefficients for red-breasted nuthatch 2012 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_RBNU_2012_DynamicAll.csv (41.45 Kb)
Details View File Details
Title ModelSel_RBNU_2013_DynamicAll
Downloaded 3 times
Description AIC model selection table and associated coefficients for red-breasted nuthatch 2013 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_RBNU_2013_DynamicAll.csv (34.46 Kb)
Details View File Details
Title ModelSel_STJA_2012_DynamicAll
Downloaded 1 time
Description AIC model selection table and associated coefficients for Steller's jay 2012 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_STJA_2012_DynamicAll.csv (36.89 Kb)
Details View File Details
Title ModelSel_STJA_2013_DynamicAll
Downloaded 2 times
Description AIC model selection table and associated coefficients for Steller's jay 2013 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_STJA_2013_DynamicAll.csv (39.07 Kb)
Details View File Details
Title ModelSel_SWTH_2012_DynamicAll
Downloaded 1 time
Description AIC model selection table and associated coefficients for Swainson's thrush 2012 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_SWTH_2012_DynamicAll.csv (38.25 Kb)
Details View File Details
Title ModelSel_SWTH_2013_DynamicAll
Downloaded 1 time
Description AIC model selection table and associated coefficients for Swainson's thrush 2013 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_SWTH_2013_DynamicAll.csv (33.84 Kb)
Details View File Details
Title ModelSel_VATH_2012_DynamicAll
Downloaded 1 time
Description AIC model selection table and associated coefficients for varied thrush 2012 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_VATH_2012_DynamicAll.csv (34.59 Kb)
Details View File Details
Title ModelSel_VATH_2013_DynamicAll
Downloaded 1 time
Description AIC model selection table and associated coefficients for varied thrush 2013 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_VATH_2013_DynamicAll.csv (35.65 Kb)
Details View File Details
Title ModelSel_WETA_2012_DynamicAll
Downloaded 1 time
Description AIC model selection table and associated coefficients for western tanager 2012 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_WETA_2012_DynamicAll.csv (37.11 Kb)
Details View File Details
Title ModelSel_WETA_2013_DynamicAll
Downloaded 1 time
Description AIC model selection table and associated coefficients for western tanager 2013 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_WETA_2013_DynamicAll.csv (32.96 Kb)
Details View File Details
Title ModelSel_WIWA_2012_DynamicAll
Downloaded 1 time
Description AIC model selection table and associated coefficients for Wilson's warbler 2012 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_WIWA_2012_DynamicAll.csv (33.55 Kb)
Details View File Details
Title ModelSel_WIWA_2013_DynamicAll
Downloaded 1 time
Description AIC model selection table and associated coefficients for Wilson's warbler 2013 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_WIWA_2013_DynamicAll.csv (34.21 Kb)
Details View File Details
Title ModelSel_BRCR_2012_Detection
Downloaded 4 times
Description AIC model selection table and associated coefficients for brown creeper 2012 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_BRCR_2012_Detection.csv (8.417 Kb)
Details View File Details
Title ModelSel_BRCR_2013_Detection
Downloaded 2 times
Description AIC model selection table and associated coefficients for brown creeper 2013 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_BRCR_2013_Detection.csv (8.084 Kb)
Details View File Details
Title ModelSel_CBCH_2012_Detection
Downloaded 2 times
Description AIC model selection table and associated coefficients for chestnut-backed chickadee 2012 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_CBCH_2012_Detection.csv (8.349 Kb)
Details View File Details
Title ModelSel_CBCH_2013_Detection
Downloaded 1 time
Description AIC model selection table and associated coefficients for chestnut-backed chickadee 2013 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_CBCH_2013_Detection.csv (7.953 Kb)
Details View File Details
Title ModelSel_GCKI_2012_Detection
Downloaded 2 times
Description AIC model selection table and associated coefficients for golden-crowned kinglet 2012 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_GCKI_2012_Detection.csv (8.383 Kb)
Details View File Details
Title ModelSel_GCKI_2013_Detection
Downloaded 3 times
Description AIC model selection table and associated coefficients for golden-crowned kinglet 2013 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_GCKI_2013_Detection.csv (9.43 Kb)
Details View File Details
Title ModelSel_HAFL_2012_Detection
Downloaded 1 time
Description AIC model selection table and associated coefficients for Hammond's flycatcher 2012 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_HAFL_2012_Detection.csv (8.367 Kb)
Details View File Details
Title ModelSel_HAFL_2013_Detection
Downloaded 1 time
Description AIC model selection table and associated coefficients for Hammond's flycatcher 2013 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_HAFL_2013_Detection.csv (7.979 Kb)
Details View File Details
Title ModelSel_HETH_2012_Detection
Downloaded 2 times
Description AIC model selection table and associated coefficients for hermit thrush 2012 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_HETH_2012_Detection.csv (8.228 Kb)
Details View File Details
Title ModelSel_HETH_2013_Detection
Downloaded 1 time
Description AIC model selection table and associated coefficients for hermit thrush 2013 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_HETH_2013_Detection.csv (8.087 Kb)
Details View File Details
Title ModelSel_HEWA_2012_Detection
Downloaded 2 times
Description AIC model selection table and associated coefficients for hermit warbler 2012 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_HEWA_2012_Detection.csv (8.327 Kb)
Details View File Details
Title ModelSel_HEWA_2013_Detection
Downloaded 1 time
Description AIC model selection table and associated coefficients for hermit warbler 2013 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_HEWA_2013_Detection.csv (8.547 Kb)
Details View File Details
Title ModelSel_ORJU_2012_Detection
Downloaded 1 time
Description AIC model selection table and associated coefficients for dark-eyed (Oregon) junco 2012 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_ORJU_2012_Detection.csv (8.154 Kb)
Details View File Details
Title ModelSel_ORJU_2013_Detection
Downloaded 1 time
Description AIC model selection table and associated coefficients for dark-eyed (Oregon) junco 2013 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_ORJU_2013_Detection.csv (8.145 Kb)
Details View File Details
Title ModelSel_PAWR_2012_Detection
Downloaded 1 time
Description AIC model selection table and associated coefficients for Pacific wren 2012 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_PAWR_2012_Detection.csv (8.42 Kb)
Details View File Details
Title ModelSel_PAWR_2013_Detection
Downloaded 1 time
Description AIC model selection table and associated coefficients for Pacific wren 2013 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_PAWR_2013_Detection.csv (8.126 Kb)
Details View File Details
Title ModelSel_PSFL_2012_Detection
Downloaded 1 time
Description AIC model selection table and associated coefficients for Pacific-slope flycatcher 2012 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_PSFL_2012_Detection.csv (8.262 Kb)
Details View File Details
Title ModelSel_PSFL_2013_Detection
Downloaded 3 times
Description AIC model selection table and associated coefficients for Pacific-slope flycatcher 2013 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_PSFL_2013_Detection.csv (8.024 Kb)
Details View File Details
Title ModelSel_RBNU_2012_Detection
Downloaded 1 time
Description AIC model selection table and associated coefficients for red-breasted nuthatch 2012 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_RBNU_2012_Detection.csv (8.311 Kb)
Details View File Details
Title ModelSel_RBNU_2013_Detection
Downloaded 2 times
Description AIC model selection table and associated coefficients for red-breasted nuthatch 2013 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_RBNU_2013_Detection.csv (7.894 Kb)
Details View File Details
Title ModelSel_STJA_2012_Detection
Downloaded 1 time
Description AIC model selection table and associated coefficients for Steller's jay 2012 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_STJA_2012_Detection.csv (8.472 Kb)
Details View File Details
Title ModelSel_STJA_2013_Detection
Downloaded 1 time
Description AIC model selection table and associated coefficients for Steller's jay 2013 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_STJA_2013_Detection.csv (8.707 Kb)
Details View File Details
Title ModelSel_SWTH_2012_Detection
Downloaded 1 time
Description AIC model selection table and associated coefficients for Swainson's thrush 2012 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_SWTH_2012_Detection.csv (8.237 Kb)
Details View File Details
Title ModelSel_SWTH_2013_Detection
Downloaded 3 times
Description AIC model selection table and associated coefficients for Swainson's thrush 2013 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_SWTH_2013_Detection.csv (8.117 Kb)
Details View File Details
Title ModelSel_VATH_2012_Detection
Downloaded 3 times
Description AIC model selection table and associated coefficients for varied thrush 2012 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_VATH_2012_Detection.csv (9.396 Kb)
Details View File Details
Title ModelSel_VATH_2013_Detection
Downloaded 2 times
Description AIC model selection table and associated coefficients for varied thrush 2013 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_VATH_2013_Detection.csv (8.128 Kb)
Details View File Details
Title ModelSel_WETA_2012_Detection
Downloaded 2 times
Description AIC model selection table and associated coefficients for western tanager 2012 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_WETA_2012_Detection.csv (8.471 Kb)
Details View File Details
Title ModelSel_WETA_2013_Detection
Downloaded 1 time
Description AIC model selection table and associated coefficients for western tanager 2013 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_WETA_2013_Detection.csv (8.024 Kb)
Details View File Details
Title ModelSel_WIWA_2012_Detection
Downloaded 1 time
Description AIC model selection table and associated coefficients for Wilson's warbler 2012 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_WIWA_2012_Detection.csv (8.314 Kb)
Details View File Details
Title ModelSel_WIWA_2013_Detection
Downloaded 1 time
Description AIC model selection table and associated coefficients for Wilson's warbler 2013 for all detection models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_WIWA_2013_Detection.csv (8.603 Kb)
Details View File Details
Title ModelSel_BRCR_2012_Occupancy
Downloaded 3 times
Description AIC model selection table and associated coefficients for brown creeper 2012 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_BRCR_2012_Occupancy.csv (6.635 Kb)
Details View File Details
Title ModelSel_BRCR_2013_Occupancy
Downloaded 1 time
Description AIC model selection table and associated coefficients for brown creeper 2013 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_BRCR_2013_Occupancy.csv (7.035 Kb)
Details View File Details
Title ModelSel_CBCH_2012_Occupancy
Downloaded 1 time
Description AIC model selection table and associated coefficients for chestnut-backed chickadee 2012 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_CBCH_2012_Occupancy.csv (6.77 Kb)
Details View File Details
Title ModelSel_CBCH_2013_Occupancy
Downloaded 2 times
Description AIC model selection table and associated coefficients for chestnut-backed chickadee 2013 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_CBCH_2013_Occupancy.csv (8.408 Kb)
Details View File Details
Title ModelSel_GCKI_2012_Occupancy
Downloaded 2 times
Description AIC model selection table and associated coefficients for golden-crowned kinglet 2012 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_GCKI_2012_Occupancy.csv (5.823 Kb)
Details View File Details
Title ModelSel_GCKI_2013_Occupancy
Downloaded 1 time
Description AIC model selection table and associated coefficients for golden-crowned kinglet 2013 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_GCKI_2013_Occupancy.csv (8.306 Kb)
Details View File Details
Title ModelSel_HAFL_2012_Occupancy
Downloaded 1 time
Description AIC model selection table and associated coefficients for Hammond’s flycatcher 2012 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_HAFL_2012_Occupancy.csv (9.385 Kb)
Details View File Details
Title ModelSel_HAFL_2013_Occupancy
Downloaded 1 time
Description AIC model selection table and associated coefficients for Hammond’s flycatcher 2013 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_HAFL_2013_Occupancy.csv (8.271 Kb)
Details View File Details
Title ModelSel_HETH_2012_Occupancy
Downloaded 1 time
Description AIC model selection table and associated coefficients for hermit thrush 2012 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_HETH_2012_Occupancy.csv (6.687 Kb)
Details View File Details
Title ModelSel_HETH_2013_Occupancy
Downloaded 3 times
Description AIC model selection table and associated coefficients for hermit thrush 2013 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_HETH_2013_Occupancy.csv (6.532 Kb)
Details View File Details
Title ModelSel_HEWA_2012_Occupancy
Downloaded 1 time
Description AIC model selection table and associated coefficients for hermit warbler 2012 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_HEWA_2012_Occupancy.csv (8.243 Kb)
Details View File Details
Title ModelSel_HEWA_2013_Occupancy
Downloaded 3 times
Description AIC model selection table and associated coefficients for hermit warbler 2013 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_HEWA_2013_Occupancy.csv (6.897 Kb)
Details View File Details
Title ModelSel_ORJU_2012_Occupancy
Downloaded 1 time
Description AIC model selection table and associated coefficients for dark-eyed (Oregon) junco 2012 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_ORJU_2012_Occupancy.csv (5.668 Kb)
Details View File Details
Title ModelSel_ORJU_2013_Occupancy
Downloaded 1 time
Description AIC model selection table and associated coefficients for dark-eyed (Oregon) junco 2013 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_ORJU_2013_Occupancy.csv (6.279 Kb)
Details View File Details
Title ModelSel_PAWR_2012_Occupancy
Downloaded 3 times
Description AIC model selection table and associated coefficients for Pacific wren 2012 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_PAWR_2012_Occupancy.csv (6.188 Kb)
Details View File Details
Title ModelSel_PAWR_2013_Occupancy
Downloaded 1 time
Description AIC model selection table and associated coefficients for Pacific wren 2013 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_PAWR_2013_Occupancy.csv (7.985 Kb)
Details View File Details
Title ModelSel_PSFL_2012_Occupancy
Downloaded 1 time
Description AIC model selection table and associated coefficients for Pacific-slope flycatcher 2012 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_PSFL_2012_Occupancy.csv (6.886 Kb)
Details View File Details
Title ModelSel_PSFL_2013_Occupancy
Downloaded 1 time
Description AIC model selection table and associated coefficients for Pacific-slope flycatcher 2013 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_PSFL_2013_Occupancy.csv (8.365 Kb)
Details View File Details
Title ModelSel_RBNU_2012_Occupancy
Downloaded 1 time
Description AIC model selection table and associated coefficients for red-breasted nuthatch 2012 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_RBNU_2012_Occupancy.csv (7.879 Kb)
Details View File Details
Title ModelSel_RBNU_2013_Occupancy
Downloaded 1 time
Description AIC model selection table and associated coefficients for red-breasted nuthatch 2013 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_RBNU_2013_Occupancy.csv (6.337 Kb)
Details View File Details
Title ModelSel_STJA_2012_Occupancy
Downloaded 2 times
Description AIC model selection table and associated coefficients for Steller’s jay 2012 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_STJA_2012_Occupancy.csv (7.235 Kb)
Details View File Details
Title ModelSel_STJA_2013_Occupancy
Downloaded 2 times
Description AIC model selection table and associated coefficients for Steller’s jay 2013 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_STJA_2013_Occupancy.csv (8.089 Kb)
Details View File Details
Title ModelSel_SWTH_2012_Occupancy
Downloaded 1 time
Description AIC model selection table and associated coefficients for Swainson’s thrush 2012 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_SWTH_2012_Occupancy.csv (7.3 Kb)
Details View File Details
Title ModelSel_SWTH_2013_Occupancy
Downloaded 3 times
Description AIC model selection table and associated coefficients for Swainson’s thrush 2013 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_SWTH_2013_Occupancy.csv (6.302 Kb)
Details View File Details
Title ModelSel_VATH_2012_Occupancy
Downloaded 3 times
Description AIC model selection table and associated coefficients for varied thrush 2012 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_VATH_2012_Occupancy.csv (6.258 Kb)
Details View File Details
Title ModelSel_VATH_2013_Occupancy
Downloaded 1 time
Description AIC model selection table and associated coefficients for varied thrush 2013 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_VATH_2013_Occupancy.csv (6.84 Kb)
Details View File Details
Title ModelSel_WETA_2012_Occupancy
Downloaded 2 times
Description AIC model selection table and associated coefficients for western tanager 2012 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_WETA_2012_Occupancy.csv (7.282 Kb)
Details View File Details
Title ModelSel_WETA_2013_Occupancy
Downloaded 2 times
Description AIC model selection table and associated coefficients for western tanager 2013 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_WETA_2013_Occupancy.csv (5.754 Kb)
Details View File Details
Title ModelSel_WIWA_2012_Occupancy
Downloaded 3 times
Description AIC model selection table and associated coefficients for Wilson's warbler 2012 for all initial occupancy models. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_WIWA_2012_Occupancy.csv (5.713 Kb)
Details View File Details
Title ModelSel_BRCR_2012_Dynamic
Downloaded 1 time
Description AIC model selection table and associated coefficients for brown creeper 2012 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_BRCR_2012_Dynamic.csv (17.46 Kb)
Details View File Details
Title ModelSel_BRCR_2013_Dynamic
Downloaded 1 time
Description AIC model selection table and associated coefficients for brown creeper 2013 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_BRCR_2013_Dynamic.csv (17.02 Kb)
Details View File Details
Title ModelSel_CBCH_2012_Dynamic
Downloaded 4 times
Description AIC model selection table and associated coefficients for chestnut-backed chickadee 2012 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_CBCH_2012_Dynamic.csv (16.63 Kb)
Details View File Details
Title ModelSel_CBCH_2013_Dynamic
Downloaded 1 time
Description AIC model selection table and associated coefficients for chestnut-backed chickadee 2013 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_CBCH_2013_Dynamic.csv (19.33 Kb)
Details View File Details
Title ModelSel_GCKI_2012_Dynamic
Downloaded 3 times
Description AIC model selection table and associated coefficients for golden-crowned kinglet 2012 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_GCKI_2012_Dynamic.csv (14.63 Kb)
Details View File Details
Title ModelSel_GCKI_2013_Dynamic
Downloaded 2 times
Description AIC model selection table and associated coefficients for golden-crowned kinglet 2013 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_GCKI_2013_Dynamic.csv (17.96 Kb)
Details View File Details
Title ModelSel_HAFL_2012_Dynamic
Downloaded 2 times
Description AIC model selection table and associated coefficients for Hammond’s flycatcher 2012 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_HAFL_2012_Dynamic.csv (22.41 Kb)
Details View File Details
Title ModelSel_HAFL_2013_Dynamic
Downloaded 1 time
Description AIC model selection table and associated coefficients for Hammond’s flycatcher 2013 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_HAFL_2013_Dynamic.csv (18.92 Kb)
Details View File Details
Title ModelSel_HETH_2012_Dynamic
Downloaded 2 times
Description AIC model selection table and associated coefficients for hermit thrush 2012 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_HETH_2012_Dynamic.csv (16.30 Kb)
Details View File Details
Title ModelSel_HETH_2013_Dynamic
Downloaded 1 time
Description AIC model selection table and associated coefficients for hermit thrush 2013 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_HETH_2013_Dynamic.csv (16.16 Kb)
Details View File Details
Title ModelSel_HEWA_2012_Dynamic
Downloaded 1 time
Description AIC model selection table and associated coefficients for hermit warbler 2012 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_HEWA_2012_Dynamic.csv (19.35 Kb)
Details View File Details
Title ModelSel_HEWA_2013_Dynamic
Downloaded 1 time
Description AIC model selection table and associated coefficients for hermit warbler 2013 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_HEWA_2013_Dynamic.csv (16.89 Kb)
Details View File Details
Title ModelSel_ORJU_2012_Dynamic
Downloaded 1 time
Description AIC model selection table and associated coefficients for dark-eyed (Oregon) junco 2012 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_ORJU_2012_Dynamic.csv (15.38 Kb)
Details View File Details
Title ModelSel_ORJU_2013_Dynamic
Downloaded 2 times
Description AIC model selection table and associated coefficients for dark-eyed (Oregon) junco 2013 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_ORJU_2013_Dynamic.csv (15.60 Kb)
Details View File Details
Title ModelSel_PAWR_2012_Dynamic
Downloaded 1 time
Description AIC model selection table and associated coefficients for Pacific wren 2012 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_PAWR_2012_Dynamic.csv (15.19 Kb)
Details View File Details
Title ModelSel_PAWR_2013_Dynamic
Downloaded 3 times
Description AIC model selection table and associated coefficients for Pacific wren 2013 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_PAWR_2013_Dynamic.csv (18.70 Kb)
Details View File Details
Title ModelSel_PSFL_2012_Dynamic
Downloaded 1 time
Description AIC model selection table and associated coefficients for Pacific-slope flycatcher 2012 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_PSFL_2012_Dynamic.csv (18.70 Kb)
Details View File Details
Title ModelSel_PSFL_2013_Dynamic
Downloaded 3 times
Description AIC model selection table and associated coefficients for Pacific-slope flycatcher 2013 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_PSFL_2013_Dynamic.csv (19.15 Kb)
Details View File Details
Title ModelSel_RBNU_2012_Dynamic
Downloaded 1 time
Description AIC model selection table and associated coefficients for red-breasted nuthatch 2012 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_RBNU_2012_Dynamic.csv (21.49 Kb)
Details View File Details
Title ModelSel_RBNU_2013_Dynamic
Downloaded 1 time
Description AIC model selection table and associated coefficients for red-breasted nuthatch 2013 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_RBNU_2013_Dynamic.csv (15.86 Kb)
Details View File Details
Title ModelSel_STJA_2012_Dynamic
Downloaded 3 times
Description AIC model selection table and associated coefficients for Steller’s jay 2012 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_STJA_2012_Dynamic.csv (17.3 Kb)
Details View File Details
Title ModelSel_STJA_2013_Dynamic
Downloaded 3 times
Description AIC model selection table and associated coefficients for Steller’s jay 2013 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_STJA_2013_Dynamic.csv (19.03 Kb)
Details View File Details
Title ModelSel_SWTH_2012_Dynamic
Downloaded 3 times
Description AIC model selection table and associated coefficients for Swainson’s thrush 2012 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_SWTH_2012_Dynamic.csv (18.48 Kb)
Details View File Details
Title ModelSel_SWTH_2013_Dynamic
Downloaded 3 times
Description AIC model selection table and associated coefficients for Swainson’s thrush 2013 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_SWTH_2013_Dynamic.csv (14.50 Kb)
Details View File Details
Title ModelSel_VATH_2012_Dynamic
Downloaded 2 times
Description AIC model selection table and associated coefficients for varied thrush 2012 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_VATH_2012_Dynamic.csv (15.48 Kb)
Details View File Details
Title ModelSel_VATH_2013_Dynamic
Downloaded 1 time
Description AIC model selection table and associated coefficients for varied thrush 2013 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_VATH_2013_Dynamic.csv (16.68 Kb)
Details View File Details
Title ModelSel_WETA_2012_Dynamic
Downloaded 2 times
Description AIC model selection table and associated coefficients for western tanager 2012 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_WETA_2012_Dynamic.csv (17.46 Kb)
Details View File Details
Title ModelSel_WETA_2013_Dynamic
Downloaded 1 time
Description AIC model selection table and associated coefficients for western tanager 2013 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_WETA_2013_Dynamic.csv (14.51 Kb)
Details View File Details
Title ModelSel_WIWA_2012_Dynamic
Downloaded 1 time
Description AIC model selection table and associated coefficients for Wilson’s warbler 2012 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_WIWA_2012_Dynamic.csv (14.45 Kb)
Details View File Details
Title ModelSel_WIWA_2013_Dynamic
Downloaded 3 times
Description AIC model selection table and associated coefficients for Wilson’s warbler 2013 for dynamic models (colonization and extinction). Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.
Download ModelSel_WIWA_2013_Dynamic.csv (15.68 Kb)
Details View File Details

When using this data, please cite the original publication:

Frey SJK, Hadley AS, Betts MG (2016) Microclimate predicts within-season distribution dynamics of montane forest birds. Diversity and Distributions 22(9): 944-959. http://dx.doi.org/10.1111/ddi.12456

Additionally, please cite the Dryad data package:

Frey SJK, Hadley AS, Betts MG (2016) Data from: Microclimate predicts within-season distribution dynamics of montane forest birds. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.m35k6
Cite | Share
Download the data package citation in the following formats:
   RIS (compatible with EndNote, Reference Manager, ProCite, RefWorks)
   BibTex (compatible with BibDesk, LaTeX)

Search for data

Be part of Dryad

We encourage organizations to: