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Considering adaptive genetic variation in climate change vulnerability assessment reduces species range loss projections.
Razgour, Orly; Forester, Brenna; Taggart, John B; Bekaert, Michaël; Juste, Javier; Ibáñez, Carlos; Puechmaille, Sébastien J; Novella-Fernandez, Roberto; Alberdi, Antton; Manel, Stéphanie.
Afiliação
  • Razgour O; Biological Sciences, University of Southampton, Southampton SO17 1BJ, United Kingdom; Orly.Razgour@soton.ac.uk.
  • Forester B; School of Biological Sciences, University of Bristol, Bristol BS8 1TQ, United Kingdom.
  • Taggart JB; Department of Biology, Colorado State University, Fort Collins, CO 80523-1878.
  • Bekaert M; Institute of Aquaculture, University of Stirling, Stirling FK9 4LA, United Kingdom.
  • Juste J; Institute of Aquaculture, University of Stirling, Stirling FK9 4LA, United Kingdom.
  • Ibáñez C; Estación Biológica de Doñana, Consejo Superior de Investigaciones Cientifica (CSIC), 41092 Seville, Spain.
  • Puechmaille SJ; Estación Biológica de Doñana, Consejo Superior de Investigaciones Cientifica (CSIC), 41092 Seville, Spain.
  • Novella-Fernandez R; Institut des Sciences de l'Evolution de Montpellier (ISEM), University of Montpellier, 34095 Montpellier, France.
  • Alberdi A; Groupe Chiroptères de Midi-Pyrénées (GCMP), 31076 Toulouse, France.
  • Manel S; Zoological Institute and Museum, University of Greifswald, 17489 Greifswald, Germany.
Proc Natl Acad Sci U S A ; 116(21): 10418-10423, 2019 05 21.
Article em En | MEDLINE | ID: mdl-31061126
ABSTRACT
Local adaptations can determine the potential of populations to respond to environmental changes, yet adaptive genetic variation is commonly ignored in models forecasting species vulnerability and biogeographical shifts under future climate change. Here we integrate genomic and ecological modeling approaches to identify genetic adaptations associated with climate in two cryptic forest bats. We then incorporate this information directly into forecasts of range changes under future climate change and assessment of population persistence through the spread of climate-adaptive genetic variation (evolutionary rescue potential). Considering climate-adaptive potential reduced range loss projections, suggesting that failure to account for intraspecific variability can result in overestimation of future losses. On the other hand, range overlap between species was projected to increase, indicating that interspecific competition is likely to play an important role in limiting species' future ranges. We show that although evolutionary rescue is possible, it depends on a population's adaptive capacity and connectivity. Hence, we stress the importance of incorporating genomic data and landscape connectivity in climate change vulnerability assessments and conservation management.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Variação Genética / Adaptação Fisiológica / Quirópteros Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Variação Genética / Adaptação Fisiológica / Quirópteros Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2019 Tipo de documento: Article