ISOLATION BY RESISTANCE

TLDR

Few tools exist to incorporate landscape composition into genetic studies, and isolation‑by‑distance analyses often assume homogeneity or use unjustified metrics. The study proposes the isolation‑by‑resistance (IBR) model to predict equilibrium genetic structuring in complex landscapes. The IBR model links genetic differentiation to resistance distance, a metric based on random‑walk and electrical‑network theory, and can be applied to diverse data types from coarse range maps to detailed habitat and barrier maps. Resistance distance outperforms Euclidean and least‑cost path measures, making the IBR model a flexible, robust tool for accounting for habitat heterogeneity and predicting genetic and evolutionary consequences of landscape change.

Abstract

Despite growing interest in the effects of landscape heterogeneity on genetic structuring, few tools are available to incorporate data on landscape composition into population genetic studies. Analyses of isolation by distance have typically either assumed spatial homogeneity for convenience or applied theoretically unjustified distance metrics to compensate for heterogeneity. Here I propose the isolation‐by‐resistance (IBR) model as an alternative for predicting equilibrium genetic structuring in complex landscapes. The model predicts a positive relationship between genetic differentiation and the resistance distance, a distance metric that exploits precise relationships between random walk times and effective resistances in electronic networks. As a predictor of genetic differentiation, the resistance distance is both more theoretically justified and more robust to spatial heterogeneity than Euclidean or least cost path‐based distance measures. Moreover, the metric can be applied with a wide range of data inputs, including coarse‐scale range maps, simple maps of habitat and nonhabitat within a species' range, or complex spatial datasets with habitats and barriers of differing qualities. The IBR model thus provides a flexible and efficient tool to account for habitat heterogeneity in studies of isolation by distance, improve understanding of how landscape characteristics affect genetic structuring, and predict genetic and evolutionary consequences of landscape change.