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Geo-evolutionary feedbacks: integrating rapid evolution and landscape change.
Dong, Xiaoli; Stokes, Maya F; Hendry, Andrew P; Larsen, Laurel G; Dolby, Greer A.
Afiliação
  • Dong X; Department of Environmental Science and Policy, University of California, Davis, CA, USA. Electronic address: xldong@ucdavis.edu.
  • Stokes MF; Department of Earth, Ocean, and Atmospheric Science, Florida State University, Tallahassee, FL, USA.
  • Hendry AP; Department of Biology, McGill University, Montreal, QC, Canada.
  • Larsen LG; Department of Geography and Civil and Environmental Engineering, University of California, Berkeley, CA, USA.
  • Dolby GA; Department of Biology, University of Alabama, Birmingham, AL, USA.
Trends Ecol Evol ; 39(9): 863-876, 2024 Sep.
Article em En | MEDLINE | ID: mdl-38862356
ABSTRACT
We develop a conceptual framework for geo-evolutionary feedbacks which describes the mutual interplay between landscape change and the evolution of traits of organisms residing on the landscape, with an emphasis on contemporary timeframes. Geo-evolutionary feedbacks can be realized via the direct evolution of geomorphic engineering traits or can be mediated by the evolution of trait variation that affects the population size and distribution of the specific geomorphic engineering organisms involved. Organisms that modify their local environments provide the basis for patch-scale geo-evolutionary feedbacks, whereas spatial self-organization provides a mechanism for geo-evolutionary feedbacks at the landscape scale. Understanding these likely prevalent geo-evolutionary feedbacks, that occur at timescales similar to anthropogenic climate change, will be essential to better predict landscape adaptive capacity and change.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Evolução Biológica Limite: Animals Idioma: En Revista: Trends Ecol Evol / Trends ecol. evol / Trends in ecology & evolution Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Evolução Biológica Limite: Animals Idioma: En Revista: Trends Ecol Evol / Trends ecol. evol / Trends in ecology & evolution Ano de publicação: 2024 Tipo de documento: Article
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