Increasing our ability to predict contemporary evolution

Classic debates concerning the extent to which scientists can predict evolution have gained new urgency as environmental changes force species to adapt or risk extinction. We highlight how our ability to predict evolution can be constrained by data limitations that cause poor understanding of determ...

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Autores principales: Nosil, Patrik, Flaxman, Samuel M., Feder, Jeffrey L., Gompert, Zachariah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Comment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7645684/
https://www.ncbi.nlm.nih.gov/pubmed/33154385
http://dx.doi.org/10.1038/s41467-020-19437-x
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author Nosil, Patrik
Flaxman, Samuel M.
Feder, Jeffrey L.
Gompert, Zachariah
author_facet Nosil, Patrik
Flaxman, Samuel M.
Feder, Jeffrey L.
Gompert, Zachariah
author_sort Nosil, Patrik
collection PubMed
description Classic debates concerning the extent to which scientists can predict evolution have gained new urgency as environmental changes force species to adapt or risk extinction. We highlight how our ability to predict evolution can be constrained by data limitations that cause poor understanding of deterministic natural selection. We then emphasize how such data limits can be reduced with feasible empirical effort involving a combination of approaches.
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spelling pubmed-76456842020-11-10 Increasing our ability to predict contemporary evolution Nosil, Patrik Flaxman, Samuel M. Feder, Jeffrey L. Gompert, Zachariah Nat Commun Comment Classic debates concerning the extent to which scientists can predict evolution have gained new urgency as environmental changes force species to adapt or risk extinction. We highlight how our ability to predict evolution can be constrained by data limitations that cause poor understanding of deterministic natural selection. We then emphasize how such data limits can be reduced with feasible empirical effort involving a combination of approaches. Nature Publishing Group UK 2020-11-05 /pmc/articles/PMC7645684/ /pubmed/33154385 http://dx.doi.org/10.1038/s41467-020-19437-x Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Comment
Nosil, Patrik
Flaxman, Samuel M.
Feder, Jeffrey L.
Gompert, Zachariah
Increasing our ability to predict contemporary evolution
title Increasing our ability to predict contemporary evolution
title_full Increasing our ability to predict contemporary evolution
title_fullStr Increasing our ability to predict contemporary evolution
title_full_unstemmed Increasing our ability to predict contemporary evolution
title_short Increasing our ability to predict contemporary evolution
title_sort increasing our ability to predict contemporary evolution
topic Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7645684/
https://www.ncbi.nlm.nih.gov/pubmed/33154385
http://dx.doi.org/10.1038/s41467-020-19437-x
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