气候变化领域集成服务门户(CCPortal): A Bayesian network approach to trophic metacommunities shows that habitat loss accelerates top species extinctions

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DOI	10.1111/ele.13607
	A Bayesian network approach to trophic metacommunities shows that habitat loss accelerates top species extinctions
	Häussler J.; Barabás G.; Eklöf A.
发表日期	2020
ISSN	1461023X
起始页码	1849
结束页码	1861
卷号	23 期号:12
英文摘要	We develop a novel approach to analyse trophic metacommunities, which allows us to explore how progressive habitat loss affects food webs. Our method combines classic metapopulation models on fragmented landscapes with a Bayesian network representation of trophic interactions for calculating local extinction rates. This means that we can repurpose known results from classic metapopulation theory for trophic metacommunities, such as ranking the habitat patches of the landscape with respect to their importance to the persistence of the metacommunity as a whole. We use this to study the effects of habitat loss, both on model communities and the plant-mammal Serengeti food web dataset as a case study. Combining straightforward parameterisability with computational efficiency, our method permits the analysis of species-rich food webs over large landscapes, with hundreds or even thousands of species and habitat patches, while still retaining much of the flexibility of explicit dynamical models. © 2020 The Authors. Ecology Letters published by John Wiley & Sons Ltd.
关键词	Bayesian network habitat loss metacommunity spatial food web
英文关键词	Bayesian analysis; community dynamics; ecological modeling; extinction; food web; habitat loss; local extinction; metapopulation; network analysis; trophic environment; Serengeti; Tanzania; Mammalia; Trachinotus falcatus; animal; Bayes theorem; biological model; ecosystem; food chain; plant; population dynamics; species extinction; Animals; Bayes Theorem; Ecosystem; Extinction, Biological; Food Chain; Models, Biological; Plants; Population Dynamics
语种	英语
来源期刊	Ecology Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/204236
作者单位	EcoNetLab, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, Leipzig, 04103, Germany; Institute of Biodiversity, Friedrich Schiller University Jena, Dornburger-Str. 159, Jena, 07743, Germany; Linköping University, Linköping, SE-58183, Sweden; MTA-ELTE Theoretical Biology and Evolutionary Ecology Research Group, Pázmány Péter sétány, Budapest, H-1117, Hungary
推荐引用方式 GB/T 7714	Häussler J.,Barabás G.,Eklöf A.. A Bayesian network approach to trophic metacommunities shows that habitat loss accelerates top species extinctions[J],2020,23(12).
APA	Häussler J.,Barabás G.,&Eklöf A..(2020).A Bayesian network approach to trophic metacommunities shows that habitat loss accelerates top species extinctions.Ecology Letters,23(12).
MLA	Häussler J.,et al."A Bayesian network approach to trophic metacommunities shows that habitat loss accelerates top species extinctions".Ecology Letters 23.12(2020).