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

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

Date Published: September 23, 2016

DOI: https://doi.org/10.5061/dryad.m35k6

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.

Title | ModelSel_BRCR_2012_DynamicAll |
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Downloaded | 12 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) |

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Title | ModelSel_BRCR_2013_DynamicAll |
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Downloaded | 6 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) |

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Title | ModelSel_CBCH_2012_DynamicAll |
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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) |

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Title | ModelSel_CBCH_2013_DynamicAll |
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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) |

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Title | ModelSel_GCKI_2012_DynamicAll |
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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) |

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Title | ModelSel_GCKI_2013_DynamicAll |
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Downloaded | 3 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) |

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Title | ModelSel_HAFL_2012_DynamicAll |
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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) |

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Title | ModelSel_HAFL_2013_DynamicAll |
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Downloaded | 4 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) |

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Title | ModelSel_HEWA_2012_DynamicAll |
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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) |

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Title | ModelSel_HEWA_2013_DynamicAll |
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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) |

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Title | ModelSel_ORJU_2012_DynamicAll |
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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) |

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Title | ModelSel_ORJU_2013_DynamicAll |
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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) |

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Title | ModelSel_PAWR_2012_DynamicAll |
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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) |

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Title | ModelSel_PAWR_2013_DynamicAll |
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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) |

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Title | ModelSel_PSFL_2012_DynamicAll |
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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) |

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Title | ModelSel_PSFL_2013_DynamicAll |
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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) |

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Title | ModelSel_RBNU_2012_DynamicAll |
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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) |

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Title | ModelSel_RBNU_2013_DynamicAll |
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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) |

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Title | ModelSel_STJA_2012_DynamicAll |
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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) |

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Title | ModelSel_STJA_2013_DynamicAll |
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Downloaded | 1 time |

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) |

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Title | ModelSel_SWTH_2012_DynamicAll |
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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) |

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Title | ModelSel_SWTH_2013_DynamicAll |
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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) |

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Title | ModelSel_VATH_2012_DynamicAll |
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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) |

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Title | ModelSel_VATH_2013_DynamicAll |
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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) |

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Title | ModelSel_WETA_2012_DynamicAll |
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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) |

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Title | ModelSel_WETA_2013_DynamicAll |
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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) |

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Title | ModelSel_WIWA_2012_DynamicAll |
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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) |

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Title | ModelSel_WIWA_2013_DynamicAll |
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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) |

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Title | ModelSel_BRCR_2012_Detection |
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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) |

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Title | ModelSel_BRCR_2013_Detection |
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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) |

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Title | ModelSel_CBCH_2012_Detection |
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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) |

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Title | ModelSel_CBCH_2013_Detection |
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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) |

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Title | ModelSel_GCKI_2012_Detection |
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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) |

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Title | ModelSel_GCKI_2013_Detection |
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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) |

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Title | ModelSel_HAFL_2012_Detection |
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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) |

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Title | ModelSel_HAFL_2013_Detection |
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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) |

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Title | ModelSel_HETH_2012_Detection |
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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) |

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Title | ModelSel_HETH_2013_Detection |
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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) |

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Title | ModelSel_HEWA_2012_Detection |
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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) |

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Title | ModelSel_HEWA_2013_Detection |
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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) |

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Title | ModelSel_ORJU_2012_Detection |
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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) |

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Title | ModelSel_ORJU_2013_Detection |
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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) |

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Title | ModelSel_PAWR_2012_Detection |
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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) |

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Title | ModelSel_PAWR_2013_Detection |
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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) |

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Title | ModelSel_PSFL_2012_Detection |
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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) |

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Title | ModelSel_PSFL_2013_Detection |
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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) |

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Title | ModelSel_RBNU_2012_Detection |
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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) |

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Title | ModelSel_RBNU_2013_Detection |
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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) |

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Title | ModelSel_STJA_2012_Detection |
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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) |

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Title | ModelSel_STJA_2013_Detection |
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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) |

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Title | ModelSel_SWTH_2012_Detection |
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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) |

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Title | ModelSel_SWTH_2013_Detection |
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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) |

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Title | ModelSel_VATH_2012_Detection |
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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) |

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Title | ModelSel_VATH_2013_Detection |
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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) |

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Title | ModelSel_WETA_2012_Detection |
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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) |

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Title | ModelSel_WETA_2013_Detection |
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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) |

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Title | ModelSel_WIWA_2012_Detection |
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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) |

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Title | ModelSel_WIWA_2013_Detection |
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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) |

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Title | ModelSel_BRCR_2012_Occupancy |
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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) |

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Title | ModelSel_BRCR_2013_Occupancy |
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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) |

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Title | ModelSel_CBCH_2012_Occupancy |
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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) |

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Title | ModelSel_CBCH_2013_Occupancy |
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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) |

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Title | ModelSel_GCKI_2012_Occupancy |
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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) |

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Title | ModelSel_GCKI_2013_Occupancy |
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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) |

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Title | ModelSel_HAFL_2012_Occupancy |
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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) |

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Title | ModelSel_HAFL_2013_Occupancy |
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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) |

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Title | ModelSel_HETH_2012_Occupancy |
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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) |

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Title | ModelSel_HETH_2013_Occupancy |
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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) |

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Title | ModelSel_HEWA_2012_Occupancy |
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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) |

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Title | ModelSel_HEWA_2013_Occupancy |
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Downloaded | 2 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) |

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Title | ModelSel_ORJU_2012_Occupancy |
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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) |

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Title | ModelSel_ORJU_2013_Occupancy |
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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) |

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Title | ModelSel_PAWR_2012_Occupancy |
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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) |

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Title | ModelSel_PAWR_2013_Occupancy |
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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) |

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Title | ModelSel_PSFL_2012_Occupancy |
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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) |

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Title | ModelSel_PSFL_2013_Occupancy |
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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) |

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Title | ModelSel_RBNU_2012_Occupancy |
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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) |

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Title | ModelSel_RBNU_2013_Occupancy |
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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) |

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Title | ModelSel_STJA_2012_Occupancy |
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Downloaded | 1 time |

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) |

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Title | ModelSel_STJA_2013_Occupancy |
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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) |

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Title | ModelSel_SWTH_2012_Occupancy |
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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) |

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Title | ModelSel_SWTH_2013_Occupancy |
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Downloaded | 2 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) |

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Title | ModelSel_VATH_2012_Occupancy |
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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) |

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Title | ModelSel_VATH_2013_Occupancy |
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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) |

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Title | ModelSel_WETA_2012_Occupancy |
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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) |

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Title | ModelSel_WETA_2013_Occupancy |
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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) |

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Title | ModelSel_WIWA_2012_Occupancy |
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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) |

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Title | ModelSel_BRCR_2012_Dynamic |
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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) |

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Title | ModelSel_BRCR_2013_Dynamic |
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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) |

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Title | ModelSel_CBCH_2012_Dynamic |
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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) |

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Title | ModelSel_CBCH_2013_Dynamic |
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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) |

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Title | ModelSel_GCKI_2012_Dynamic |
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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) |

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Title | ModelSel_GCKI_2013_Dynamic |
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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) |

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Title | ModelSel_HAFL_2012_Dynamic |
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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) |

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Title | ModelSel_HAFL_2013_Dynamic |
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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) |

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Title | ModelSel_HETH_2012_Dynamic |
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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) |

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Title | ModelSel_HETH_2013_Dynamic |
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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) |

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Title | ModelSel_HEWA_2012_Dynamic |
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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) |

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Title | ModelSel_HEWA_2013_Dynamic |
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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) |

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Title | ModelSel_ORJU_2012_Dynamic |
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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) |

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Title | ModelSel_ORJU_2013_Dynamic |
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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) |

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Title | ModelSel_PAWR_2012_Dynamic |
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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) |

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Title | ModelSel_PAWR_2013_Dynamic |
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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) |

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Title | ModelSel_PSFL_2012_Dynamic |
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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) |

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Title | ModelSel_PSFL_2013_Dynamic |
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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) |

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Title | ModelSel_RBNU_2012_Dynamic |
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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) |

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Title | ModelSel_RBNU_2013_Dynamic |
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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) |

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Title | ModelSel_STJA_2012_Dynamic |
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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) |

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Title | ModelSel_STJA_2013_Dynamic |
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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) |

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Title | ModelSel_SWTH_2012_Dynamic |
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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) |

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Title | ModelSel_SWTH_2013_Dynamic |
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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) |

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Title | ModelSel_VATH_2012_Dynamic |
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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) |

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Title | ModelSel_VATH_2013_Dynamic |
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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) |

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Title | ModelSel_WETA_2012_Dynamic |
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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) |

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Title | ModelSel_WETA_2013_Dynamic |
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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) |

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Title | ModelSel_WIWA_2012_Dynamic |
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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) |

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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) |

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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. https://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.
https://doi.org/10.5061/dryad.m35k6

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