Appendix B. Receiver operating characteristic (ROC) curves based on the best logistic regression model of wetland occupancy by round-tailed muskrats.

Receiver operating characteristic (ROC) curves based on the best logistic regression model of wetland occupancy by round-tailed muskrats

Appendix B. A table showing parameter estimates for logistic multiple regression models of patch occupancy.

A table showing parameter estimates for logistic multiple regression models of patch occupancy

Appendix A. Evaluation of the assumption of spatial independence of residuals from logistic regression models used to predict patch occupancy and turnover for round-tailed muskrats (Neofiber alleni) in isolated wetlands in central Florida, USA, 2002–2004.

Evaluation of the assumption of spatial independence of residuals from logistic regression models used to predict patch occupancy and turnover for round-tailed muskrats (Neofiber alleni) in isolated wetlands in central Florida, USA, 2002–2004

Appendix A. A table showing parameter estimates for quantile regression models relating abundance to patch area.

A table showing parameter estimates for quantile regression models relating abundance to patch area

Appendix C. A table showing parameter estimates for 95th quantile multiple regression models of abundances.

A table showing parameter estimates for 95th quantile multiple regression models of abundances

Microsatellite genotypes

"0" indicates alleles that were not scored due to failed amplification or ambiguous peak calling (0.17% of alleles)

Year of sampling, geographic coordinates, and treatment status of sites

Year of sampling, geographic coordinates, and treatment status of site

STRUCTURE input files

Input files for all sites and sites west of the Rio Grande are included as separate sheets in the file

Pairwise geographic and genetic distances

Lower triangle indicates genetic distance (Fst), and upper triangle indicates geographic distance (km)

Ranking of multi-season models for detection (<i>p</i>) of riparian muskrats (<i>Ondatra zibethicus</i>) and American mink (<i>Neovison vison</i>) in Illinois, USA from 2007–2012.

<p>ΔAIC_c = difference between model AIC_c and lowest AIC_c. ω = Akaike weights. K = number of estimable parameters. -2LogLike = twice the negative log-likelihood. For both species, we present all models with ΔAIC_c ≤ 2, along with the base model. The base model includes parameters for initial occupancy in 2007 [<i>Ψ</i>(.)], annual colonization [γ(2008–2012)], annual extinction [ε(2008–2012)], and constant detection probability [<i>p</i>(.)]. Detection covariates include rain 7 days prior to survey (Rain), percentage of trackable surface (Sandbar), day of year site was surveyed (Date), amount of debris (Debris), and observer conducting survey (Observer).</p><p>Ranking of multi-season models for detection (<i>p</i>) of riparian muskrats (<i>Ondatra zibethicus</i>) and American mink (<i>Neovison vison</i>) in Illinois, USA from 2007–2012.</p