DOI: 10.5061/dryad.358c50t
title: Data from: Multi-scale resistant kernel surfaces derived from inferred gene flow: An application with vernal pool breeding salamanders

description: The importance of assessing spatial layers at multiple spatial-scales when
 modeling species environmental relationships has been highlighted by
 several empirical studies. However, no landscape genetics studies have
 optimized landscape resistance surfaces by evaluating relevant spatial
 predictors at multiple spatial-scales. Here, we model multi-scale/layer
 landscape resistance surfaces to estimate resistance to inferred gene flow
 for two vernal pool breeding salamander species, spotted (A. maculatum)
 and marbled (A. opacum) salamanders. Multi-scale resistance surface models
 outperformed spatial layers modeled at their original spatial scale. A
 resistance surface with forest land cover at a 500m Gaussian kernel
 bandwith, and normalized vegetation index at a 100m Gaussian kernel
 bandwidth was the top optimized resistance surface for A. maculatum. A
 resistance surface with traffic rate and topographic curvature, both at a
 500m Gaussian kernel bandwidth was the top optimized resistance surface
 for A. opacum. Species-specific resistant kernels were fit at all vernal
 pools in our study area with the optimized multi-scale/layer resistance
 surface controlling kernel spread. Vernal pools were then evaluated and
 scored based on surrounding upland habitat (local score) and connectivity
 with other vernal pools on the landscape, with resistant kernels driving
 vernal pool connectivity scores. As expected, vernal pools that scored
 highest were in areas within forested habitats and with high vernal pool
 densities and low species-specific landscape resistance. Our findings
 highlight the success of using a novel analytical approach in a
 multi-scale framework with applications beyond vernal pool amphibian
 conservation.
description: Impervious_1000Impervious 1000mImpervious_500Impervious 500mImpervious_2000Impervious 2000mImpervious_1500Impervious 1500mImpervious_100Impervious 100mImperviousImperviousvolume_2000Volume 2000mvolume_1500Volume 1500mvolume_1000Volume 1000mvolume_500Volume 500mvolume_100Volume 100mvolumeVolumetwi_2000twi_1500TWI 1500mtwi_1000TWI 1000mtwi_500TWI 500mtwi_100TWI 100mtwiTWItraffic_2000Traffic 2000mtraffic_1500Traffic 1500mtraffic_1000Traffic 1000mtraffic_500Traffic 500mtraffic_100Traffic 100mtrafficTraffictpi_2000TPI 2000mtpi_1500TPI 1500tpi_1000TPI 1000mtpi_500TPI 500mtpi_100TPI 100mtpiTPIslope_2000Slope 2000mslope_1500Slope 1500mslope_1000Slope 1000mslope_500Slope 500mslope_100Slope 100mslopeSlopepvp_2000PVP 2000mpvp_1500PVP 1500mpvp_1000PVPndvi_1500NDVI 1500mndvi_1000NDVI 1000mndvi_500NDVI 500mndvi_100NDVI 100mndviNDVIlc_99_f_2000Land Cover 1999 2000mlc_99_f_1500Land Cover 1999 1500mlc_99_f_1000Land Cover 1999 1000mlc_99_f_500Land Cover 1999 500mlc_99_fLand Cover 1999curvature_2000Curvature 2000mcurvature_1500Curvature 1500mcurvature_1000Curvature 1000mcurvature_500Curvature 500mcurvature_100Curvature 100mcurvatureCurvaturepvpPVPpvp_500PVP 500mpvp_100PVP 100mamop_chord_CCAMOP Chord DistanceAMOP_pools_CCAMOP Vernal Pool Locationsamma_chord_CCAMMA Chord DistanceAMMA_pools_CCAMMA Vernal Pool Locations