globalchange  > 气候变化与战略
DOI: 10.1111/ele.13607
论文题名:
A Bayesian network approach to trophic metacommunities shows that habitat loss accelerates top species extinctions
作者: Häussler J.; Barabás G.; Eklöf A.
刊名: Ecology Letters
ISSN: 1461023X
出版年: 2020
卷: 23, 期:12
起始页码: 1849
结束页码: 1861
语种: 英语
中文关键词: 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
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.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/166637
Appears in Collections:气候变化与战略

Files in This Item:

There are no files associated with this item.


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

Recommended Citation:
Häussler J.,Barabás G.,Eklöf A.. A Bayesian network approach to trophic metacommunities shows that habitat loss accelerates top species extinctions[J]. Ecology Letters,2020-01-01,23(12)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Häussler J.]'s Articles
[Barabás G.]'s Articles
[Eklöf A.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Häussler J.]'s Articles
[Barabás G.]'s Articles
[Eklöf A.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Häussler J.]‘s Articles
[Barabás G.]‘s Articles
[Eklöf A.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.