气候变化领域集成服务门户(CCPortal): Evolutionary origins for ecological patterns in space

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DOI	10.1073/pnas.1918960117
	Evolutionary origins for ecological patterns in space
	Urban M.C.; Strauss S.Y.; Pelletier F.; Palkovacs E.P.; Leibold M.A.; Hendry A.P.; de Meester L.; Carlson S.M.; Angert A.L.; Giery S.T.
发表日期	2020
ISSN	0027-8424
起始页码	17482
结束页码	17490
卷号	117 期号:30
英文摘要	Historically, many biologists assumed that evolution and ecology acted independently because evolution occurred over distances too great to influence most ecological patterns. Today, evidence indicates that evolution can operate over a range of spatial scales, including fine spatial scales. Thus, evolutionary divergence across space might frequently interact with the mechanisms that also determine spatial ecological patterns. Here, we synthesize insights from 500 eco-evolutionary studies and develop a predictive framework that seeks to understand whether and when evolution amplifies, dampens, or creates ecological patterns. We demonstrate that local adaptation can alter everything from spatial variation in population abundances to ecosystem properties. We uncover 14 mechanisms that can mediate the outcome of evolution on spatial ecological patterns. Sometimes, evolution amplifies environmental variation, especially when selection enhances resource uptake or patch selection. The local evolution of foundation or keystone species can create ecological patterns where none existed originally. However, most often, we find that evolution dampens existing environmental gradients, because local adaptation evens out fitness across environments and thus counteracts the variation in associated ecological patterns. Consequently, evolution generally smooths out the underlying heterogeneity in nature, making the world appear less ragged than it would be in the absence of evolution. We end by highlighting the future research needed to inform a fully integrated and predictive biology that accounts for eco-evolutionary interactions in both space and time. © 2020 National Academy of Sciences. All rights reserved.
英文关键词	Eco-evolutionary dynamics; Local adaptation; Spatial ecology
语种	英语
scopus关键词	ecology; Even (people); human; keystone species; local adaptation; nonhuman; population abundance; review; biodiversity; biomass; ecosystem; evolution; population dynamics; space; Biodiversity; Biological Evolution; Biomass; Ecosystem; Extraterrestrial Environment; Nutrients; Population Dynamics
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/160875
作者单位	Urban, M.C., Department of Ecology & Evolutionary Biology, University of Connecticut, Storrs, CT 06278, United States, Center of Biological Risk, University of Connecticut, Storrs, CT 06278, United States; Strauss, S.Y., Department of Evolution and Ecology, University of California, Davis, CA 95616, United States; Pelletier, F., Department of Biology, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada; Palkovacs, E.P., Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA 95060, United States; Leibold, M.A., Department of Biology, University of Florida, Gainesville, FL 32611, United States; Hendry, A.P., Redpath Museum, McGill University, Montréal, QC H3A 0C4, Canada, Department of Biology, McGill University, Montréal, QC H3A 1B1, Canada; de Meester, L., Laboratory of Aquatic Ecology, Evolution and Conservation, Katholieke Universiteit Leuven, Leuven, B-3000, Belgium, Leibniz-Institut für Gewässerökologie und Binnenfischerei, Berlin, 12587, Germany, Institu...
推荐引用方式 GB/T 7714	Urban M.C.,Strauss S.Y.,Pelletier F.,et al. Evolutionary origins for ecological patterns in space[J],2020,117(30).
APA	Urban M.C..,Strauss S.Y..,Pelletier F..,Palkovacs E.P..,Leibold M.A..,...&Giery S.T..(2020).Evolutionary origins for ecological patterns in space.Proceedings of the National Academy of Sciences of the United States of America,117(30).
MLA	Urban M.C.,et al."Evolutionary origins for ecological patterns in space".Proceedings of the National Academy of Sciences of the United States of America 117.30(2020).