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Using Networks to Connect Individual-Level Reproductive Behavior to Population Patterns.
Safran, Rebecca J; Levin, Iris I; Fosdick, Bailey K; McDermott, Molly T; Semenov, Georgy А; Hund, Amanda K; Scordato, Elizabeth S C; Turbek, Sheela P.
Afiliación
  • Safran RJ; Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO 80309, USA; Co-first authors. Electronic address: rebecca.safran@colorado.edu.
  • Levin II; Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO 80309, USA; Department of Biology, Agnes Scott College, Decatur, GA 30030, USA; Co-first authors.
  • Fosdick BK; Department of Statistics, Colorado State University, Fort Collins, CO 80523, USA; Co-first authors. Electronic address: https://twitter.com/baileyfosdick.
  • McDermott MT; Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO 80309, USA.
  • Semenov GА; Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO 80309, USA.
  • Hund AK; Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO 80309, USA; Department of Ecology, Evolution, and Behavior, St. Paul, MN 55108, USA. Electronic address: https://twitter.com/AmandaHund.
  • Scordato ESC; Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO 80309, USA; Department of Biological Sciences, California State Polytechnic University, Pomona, CA 91768, USA.
  • Turbek SP; Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO 80309, USA.
Trends Ecol Evol ; 34(6): 497-501, 2019 06.
Article en En | MEDLINE | ID: mdl-31079944
ABSTRACT
We propose an application of network analysis to determine which traits and behaviors predict fertilizations within and between populations. This approach quantifies how reproductive behavior between individuals shapes patterns of selection and gene flow, filling an important gap in our understanding of the connection between evolutionary processes and emergent patterns.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Conducta Reproductiva / Especiación Genética Idioma: En Revista: Trends Ecol Evol Año: 2019 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Conducta Reproductiva / Especiación Genética Idioma: En Revista: Trends Ecol Evol Año: 2019 Tipo del documento: Article
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