CCPortal
DOI10.1111/ele.12784
Network theory and metapopulation persistence: incorporating node self-connections
Zamborain-Mason J.; Russ G.R.; Abesamis R.A.; Bucol A.A.; Connolly S.R.
发表日期2017
ISSN1461-023X
EISSN1461-0248
卷号20期号:7
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. © 2017 John Wiley & Sons Ltd/CNRS
英文关键词Conservation planning; local retention; metapopulation persistence; network metrics; network theory; reserve networks; self-recruitment
学科领域age structure; conservation planning; ecological theory; graphical method; metapopulation; network analysis; persistence; recruitment (population dynamics); aquatic species; biological model; ecosystem; population dynamics; Aquatic Organisms; Ecosystem; Models, Biological; Population Dynamics
语种英语
scopus关键词age structure; conservation planning; ecological theory; graphical method; metapopulation; network analysis; persistence; recruitment (population dynamics); aquatic species; biological model; ecosystem; population dynamics; Aquatic Organisms; Ecosystem; Models, Biological; Population Dynamics
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/118368
作者单位College of Science and Engineering, James Cook University, Townsville, QLD, Australia; ARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, QLD, Australia; Silliman University – Angelo King Centre for Research and Environmental Management, Negros Oriental, Philippines
推荐引用方式
GB/T 7714
Zamborain-Mason J.,Russ G.R.,Abesamis R.A.,et al. Network theory and metapopulation persistence: incorporating node self-connections[J],2017,20(7).
APA Zamborain-Mason J.,Russ G.R.,Abesamis R.A.,Bucol A.A.,&Connolly S.R..(2017).Network theory and metapopulation persistence: incorporating node self-connections.Ecology Letters,20(7).
MLA Zamborain-Mason J.,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。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zamborain-Mason J.]的文章
[Russ G.R.]的文章
[Abesamis R.A.]的文章
百度学术
百度学术中相似的文章
[Zamborain-Mason J.]的文章
[Russ G.R.]的文章
[Abesamis R.A.]的文章
必应学术
必应学术中相似的文章
[Zamborain-Mason J.]的文章
[Russ G.R.]的文章
[Abesamis R.A.]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。