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Simulation modelling demonstrates differential performance of connectivity methods in their ability to predict genetic diversity in complex landscapes

Author

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  • Atzeni, Luciano
  • Cushman, Samuel A.
  • Macdonald, David W.

Abstract

There have been few evaluations of how well different connectivity modelling methods are able to predict the spatial genetic structure and genetic diversity of populations residing in complex landscapes. Given the wide application of connectivity modelling tools in applied conservation planning, it is crucial to broadly evaluate how these models perform across resistance, movement, and population structure conditions in predicting genetic diversity patterns. Such evaluations are critical to provide rigorous, biologically based guidance for conservation and management applications.

Suggested Citation

  • Atzeni, Luciano & Cushman, Samuel A. & Macdonald, David W., 2024. "Simulation modelling demonstrates differential performance of connectivity methods in their ability to predict genetic diversity in complex landscapes," Ecological Modelling, Elsevier, vol. 498(C).
    • Handle: RePEc:eee:ecomod:v:498:y:2024:i:c:s0304380024002746
    DOI: 10.1016/j.ecolmodel.2024.110886
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