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:	Patrik Nosil, Samuel M. Flaxman, Jeffrey L. Feder, Zachariah Gompert
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/d4cee4b49b4c4bb099b0b5e45f1669a1
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spelling	oai:doaj.org-article:d4cee4b49b4c4bb099b0b5e45f1669a12021-12-02T17:32:41ZIncreasing our ability to predict contemporary evolution10.1038/s41467-020-19437-x2041-1723https://doaj.org/article/d4cee4b49b4c4bb099b0b5e45f1669a12020-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-19437-xhttps://doaj.org/toc/2041-1723Classic 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.Patrik NosilSamuel M. FlaxmanJeffrey L. FederZachariah GompertNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-6 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Patrik Nosil Samuel M. Flaxman Jeffrey L. Feder Zachariah Gompert Increasing our ability to predict contemporary evolution
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.
format	article
author	Patrik Nosil Samuel M. Flaxman Jeffrey L. Feder Zachariah Gompert
author_facet	Patrik Nosil Samuel M. Flaxman Jeffrey L. Feder Zachariah Gompert
author_sort	Patrik Nosil
title	Increasing our ability to predict contemporary evolution
title_short	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_sort	increasing our ability to predict contemporary evolution
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/d4cee4b49b4c4bb099b0b5e45f1669a1
work_keys_str_mv	AT patriknosil increasingourabilitytopredictcontemporaryevolution AT samuelmflaxman increasingourabilitytopredictcontemporaryevolution AT jeffreylfeder increasingourabilitytopredictcontemporaryevolution AT zachariahgompert increasingourabilitytopredictcontemporaryevolution
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Increasing our ability to predict contemporary evolution

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