Published October 1, 2020 | Version 1.0.0
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Code and data from: Evaluating surrogates of genetic diversity for conservation planning

  • 1. CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus de Vairão, Rua Padre Armando Quintas, nº 7 4485-661 Vairão, Portugal
  • 2. CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus de Vairão, Rua Padre Armando Quintas, nº 7 4485-661 Vairão, Portugal; Museo Nacional de Ciencias Naturales-CSIC, Calle de José Gutiérrez Abascal, 2, 28006 Madrid, Spain
  • 3. CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus de Vairão, Rua Padre Armando Quintas, nº 7 4485-661 Vairão, Portugal; Museu de História Natural e da Ciência, Universidade do Porto, Praça Gomes Teixeira 4099-002 Porto, Portugal
  • 4. The Nature Conservancy, Minneapolis, MN, 55415 USA; Centre for Biodiversity and Conservation Science, School of Biological Sciences, The University of Queensland, Brisbane, QLD, 4072 Australia

Description

Protected-area systems should conserve intraspecific genetic diversity. Because genetic data require resources to obtain, several approaches have been proposed for generating plans for protected-area systems (prioritizations) when genetic data are not available. Yet such surrogate-based approaches remain poorly tested. We evaluated the effectiveness of potential surrogate-based approaches based on microsatellite genetic data collected across the Iberian Peninsula for seven amphibian and three reptilian species. Long-term environmental suitability did not effectively represent sites containing high genetic diversity (allelic richness). Prioritizations based on long-term environmental suitability had similar performance to random prioritizations. Geographic distances and resistance distances based on contemporary environmental suitability were not always effective surrogates for identification of combinations of sites that contain individuals with different genetic compositions. Our results demonstrate that population genetic data based on commonly used neutral markers can inform prioritizations, and we could not find an adequate substitute. Conservation planners need to weigh the potential benefits of genetic data against their acquisition costs.

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Is supplement to
Journal article: 10.1111/cobi.13602 (DOI)