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DOI10.1073/pnas.2003852117
The emergent interactions that govern biodiversity change
Clark J.S.; Lane Scher C.; Swift M.
发表日期2020
ISSN0027-8424
起始页码17074
结束页码17083
卷号117期号:29
英文摘要Observational studies have not yet shown that environmental variables can explain pervasive nonlinear patterns of species abundance, because those patterns could result from (indirect) interactions with other species (e.g., competition), and models only estimate direct responses. The experiments that could extract these indirect effects at regional to continental scales are not feasible. Here, a biophysical approach quantifies environment-species interactions (ESI) that govern community change from field data. Just as species interactions depend on population abundances, so too do the effects of environment, as when drought is amplified by competition. By embedding dynamic ESI within framework that admits data gathered on different scales, we quantify responses that are induced indirectly through other species, including probabilistic uncertainty in parameters, model specification, and data. Simulation demonstrates that ESI are needed for accurate interpretation. Analysis demonstrates how nonlinear responses arise even when their direct responses to environment are linear. Applications to experimental lakes and the Breeding Bird Survey (BBS) yield contrasting estimates of ESI. In closed lakes, interactions involving phytoplankton and their zooplankton grazers play a large role. By contrast, ESI are weak in BBS, as expected where year-to-year movement degrades the link between local population growth and species interactions. In both cases, nonlinear responses to environmental gradients are induced by interactions between species. Stability analysis indicates stability in the closed-system lakes and instability in BBS. The probabilistic framework has direct application to conservation planning that must weigh risk assessments for entire habitats and communities against competing interests. © 2020 National Academy of Sciences. All rights reserved.
英文关键词Climate change; Food web dynamics; GJAM; Species interactions
语种英语
scopus关键词article; biodiversity; bird; breeding; case report; climate change; clinical article; competition; drought; embedding; food web; grazer; habitat; lake; nonhuman; observational study; organismal interaction; phytoplankton; population abundance; population growth; quantitative analysis; risk assessment; simulation; uncertainty; zooplankton; animal; biological model; climate change; endangered species; food chain; species difference; Animals; Biodiversity; Birds; Climate Change; Endangered Species; Environmental Science; Food Chain; Lakes; Models, Biological; Species Specificity
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/160882
作者单位Clark, J.S., Nicholas School of the Environment, Duke University, Durham, NC 27708, United States, Department of Statistical Science, Duke University, Durham, NC 27708, United States, Mountain Ecosystems and Societies Laboratory, National Research Institute for Agriculture, Food and Environment (INRAE), Saint-Martin-d'Hères Cedex, F-38402, France; Lane Scher, C., Nicholas School of the Environment, Duke University, Durham, NC 27708, United States; Swift, M., Nicholas School of the Environment, Duke University, Durham, NC 27708, United States
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Clark J.S.,Lane Scher C.,Swift M.. The emergent interactions that govern biodiversity change[J],2020,117(29).
APA Clark J.S.,Lane Scher C.,&Swift M..(2020).The emergent interactions that govern biodiversity change.Proceedings of the National Academy of Sciences of the United States of America,117(29).
MLA Clark J.S.,et al."The emergent interactions that govern biodiversity change".Proceedings of the National Academy of Sciences of the United States of America 117.29(2020).
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