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Differing, multi-scale landscape effects on genetic diversity and differentiation in eastern chipmunks

Citation

Kierepka, Elizabeth; Anderson, Sara; Swihart, Robert; Rhodes Jr., Olin (2020), Differing, multi-scale landscape effects on genetic diversity and differentiation in eastern chipmunks, Dryad, Dataset, https://doi.org/10.25338/B86P54

Abstract

Understanding how habitat loss and fragmentation impact genetic variation is a major goal in landscape genetics, but to date, most studies have focused solely on the correlation between intervening matrix and genetic differentiation at a single spatial scale. Several caveats exist in these study designs, among them is the inability to include measures of genetic diversity in addition to differentiation. Both genetic metrics help predict population persistence, but are expected to function at differing spatial scales, which requires a multi-scale investigation. In this study, we sampled two distinct spatial scales in 31 independent landscapes along a gradient of landscape context (i.e., forest amount, configuration, and types of intervening matrix) to investigate how landscape heterogeneity influences genetic diversity and differentiation in the forest-associated eastern chipmunk (Tamias striatus). Overall, quality of intervening matrix was correlated with genetic differentiation at multiple spatial scales, whereas only configuration was associated with regional scale genetic diversity. Habitat amount, in contrast, did not influence genetic differentiation or diversity at either spatial scale. Based on our findings, landscape effects on genetic variation appears to differ based on spatial scale, the type of genetic response variable, and random variation among landscapes, making extrapolation of results from single scale, un-replicated studies difficult. We encourage landscape geneticists to utilize multi-scale, replicated landscapes with both genetic diversity and differentiation to gain a more comprehensive understanding of how habitat loss and fragmentation influence genetic variation.

Usage Notes

These datafiles contain all landscape and genetic data for chipmunks sampled across the Upper Wabash Valley, Indiana, USA. Our analyses were conducted at two spatial scales: “Regional Scale” and “Local Scale”, so descriptions are provided for each datafile in the ReadMe. Please see FragStats documentation and manuscript text for further definitions of each landscape statistic.