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Roads, Soil, Snow, and Topography Influence Genetic Connectivity: A Machine Learning Approach for a Peripheral

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Understanding landscape barriers is key for conserving American badgers (Taxidea taxus jeffersonii). Major roads, steep slopes, and certain soils impede movement, while milder winters and specific soil types facilitate badger dispersal across British Columbia.

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Area of Science:

  • Conservation Biology
  • Population Genetics
  • Landscape Ecology

Background:

  • Effective conservation of peripheral populations hinges on understanding landscape influences on dispersal.
  • Predicting landscape connectivity is crucial for managing spatially distinct populations.

Purpose of the Study:

  • To model landscape resistance and genetic connectivity for the western American badger (Taxidea taxus jeffersonii) population.
  • To identify landscape features that impede or facilitate gene flow in southern British Columbia.

Main Methods:

  • Utilized 116 genetic samples genotyped at 14 microsatellite loci.
  • Employed gradient boosting machine models within a corridor-based approach.
  • Predicted genetic distances based on landscape variables across ~170,000 km².

Main Results:

  • Genetic similarity was detected up to ~110 km, with lowest gene diversity in the Cariboo region and highest in the Okanagan.
  • Colluvial soil parent material, geographic distance, steep slopes, and major roads significantly impeded genetic connectivity.
  • Organic and fluvial soil parent materials and areas with less winter snow cover facilitated connectivity.

Conclusions:

  • Predictive maps of landscape resistance and connectivity can inform conservation strategies.
  • Management actions like habitat protection and road underpass placement can promote genetic flow for American badgers.
  • Identifying landscape barriers is essential for the long-term viability of peripheral badger populations.