Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1111/ele.12784 |
Network theory and metapopulation persistence: incorporating node self-connections | |
Zamborain-Mason, Jessica1; Russ, Garry R.1,2; Abesamis, Rene A.1; Bucol, Abner A.3; Connolly, Sean R.1,2 | |
2017-07-01 | |
发表期刊 | ECOLOGY LETTERS |
ISSN | 1461-023X |
EISSN | 1461-0248 |
出版年 | 2017 |
卷号 | 20期号:7 |
文章类型 | Article |
语种 | 英语 |
国家 | Australia; Philippines |
英文摘要 | Network analysis is gaining increasing importance in conservation planning. However, which network metrics are the best predictors of metapopulation persistence is still unresolved. Here, we identify a critical limitation of graph theory-derived network metrics that have been proposed for this purpose: their omission of node self-connections. We resolve this by presenting modifications of existing network metrics, and developing entirely new metrics, that account for node self-connections. Then, we illustrate the performance of these new and modified metrics with an age-structured metapopulation model for a real-world marine reserve network case study, and we evaluate the robustness of our findings by systematically varying particular features of that network. Our new and modified metrics predict metapopulation persistence much better than existing metrics do, even when self-connections are weak. Existing metrics become good predictors of persistence only when self-connections are entirely absent, an unrealistic scenario in the overwhelming majority of metapopulation applications. Our study provides a set of novel tools that can substantially enhance the extent to which network metrics can be employed to understand, and manage for, metapopulation persistence. |
英文关键词 | Conservation planning local retention metapopulation persistence network metrics network theory reserve networks self-recruitment |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000403794100003 |
WOS关键词 | MARINE RESERVE NETWORKS ; FOOD-WEB STRUCTURE ; LANDSCAPE CONNECTIVITY ; PROTECTED AREAS ; REEF FISH ; POPULATION CONNECTIVITY ; LARVAL CONNECTIVITY ; COMPLEX NETWORKS ; CLIMATE-CHANGE ; DISPERSAL |
WOS类目 | Ecology |
WOS研究方向 | Environmental Sciences & Ecology |
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/31200 |
专题 | 资源环境科学 |
作者单位 | 1.James Cook Univ, Coll Sci & Engn, Townsville, Qld, Australia; 2.James Cook Univ, ARC Ctr Excellence Coral Reef Studies, Townsville, Qld, Australia; 3.Silliman Univ, Angelo King Ctr Res & Environm Management, Negros Oriental, Philippines |
推荐引用方式 GB/T 7714 | Zamborain-Mason, Jessica,Russ, Garry R.,Abesamis, Rene A.,et al. Network theory and metapopulation persistence: incorporating node self-connections[J]. ECOLOGY LETTERS,2017,20(7). |
APA | Zamborain-Mason, Jessica,Russ, Garry R.,Abesamis, Rene A.,Bucol, Abner A.,&Connolly, Sean R..(2017).Network theory and metapopulation persistence: incorporating node self-connections.ECOLOGY LETTERS,20(7). |
MLA | Zamborain-Mason, Jessica,et al."Network theory and metapopulation persistence: incorporating node self-connections".ECOLOGY LETTERS 20.7(2017). |
条目包含的文件 | 条目无相关文件。 |
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