Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1073/pnas.2003852117 |
The emergent interactions that govern biodiversity change | |
Clark, James S.1,2,3; Scher, C. Lane1; Swift, Margaret1 | |
2020-07-06 | |
发表期刊 | PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA |
ISSN | 0027-8424 |
出版年 | 2020 |
卷号 | 117期号:29页码:17074-17083 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; France |
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 indi-cates 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. |
英文关键词 | food web dynamics species interactions GJAM climate change |
领域 | 地球科学 ; 气候变化 ; 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000553294300002 |
WOS关键词 | SPECIES DISTRIBUTION MODELS ; REGIME SHIFTS ; FOOD WEBS ; COMMUNITY ; DIVERSITY ; STABILITY ; COOCCURRENCE ; MULTIVARIATE ; UNCERTAINTY ; POPULATION |
WOS类目 | Multidisciplinary Sciences |
WOS研究方向 | Science & Technology - Other Topics |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/282734 |
专题 | 资源环境科学 |
作者单位 | 1.Duke Univ, Nicholas Sch Environm, Durham, NC 27708 USA; 2.Duke Univ, Dept Stat Sci, Durham, NC 27708 USA; 3.Natl Res Inst Agr Food & Environm INRAE, Mt Ecosyst & Soc Lab, F-38402 St Martin Dheres, France |
推荐引用方式 GB/T 7714 | Clark, James S.,Scher, C. Lane,Swift, Margaret. The emergent interactions that govern biodiversity change[J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA,2020,117(29):17074-17083. |
APA | Clark, James S.,Scher, C. Lane,&Swift, Margaret.(2020).The emergent interactions that govern biodiversity change.PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA,117(29),17074-17083. |
MLA | Clark, James 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):17074-17083. |
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