(2023), and existing marten data were obtained from Aylward et al. (2019; 2020).

riped skunk, and white-tailed deer. Lower values represent lower resistance, and higher values represent higher resistance (scales vary by species). We collected and analyzed 1,028 samples across the 10 species, and optimized species-specific landscape resistance surfaces using the ResistanceGA package in R (Peterman 2018) to determine how various ecological variables influence genetic distance. We used model selection to rank candidate resistance surfaces, and the top models for each species are included in this dataset.

triped skunk, and white-tailed deer. We integrated landscape resistance and species occurrence data to model and map wildlife connectivity across the study region using the Omniscape program (McRae et al. 2016; Landau et al. 2021). Resulting cumulative current maps represent wildlife movement as the flow of electricity in a circuit, with more concentrated movement flow having higher levels (amps) of electrical current density, and less concentrated movement flow having lower levels of electrical current density.

ose, raccoon, red fox, striped skunk, and white-tailed deer. We integrated landscape resistance and species occurrence data to model and map wildlife connectivity across the study region using the Omniscape program (McRae et al. 2016; Landau et al. 2021). Resulting normalized current maps represent a normalized view of wildlife movement as the flow of electricity in a circuit, with more concentrated movement flow having higher levels (amps) of electrical current density, and less concentrated movement flow having lower levels of electrical current density. These normalized maps are broken into four classes of flow: impeded (1), diffuse (2), intensified (3), and channelized (4).