Disentangling spatiotemporal dynamics in metacommunities through a species‐patch network approach

Author:

Li Hai‐Dong1ORCID,Holyoak Marcel2ORCID,Xiao Zhishu13ORCID

Affiliation:

1. State Key Laboratory of Integrated Management of Pest Insects and Rodents in Agriculture Institute of Zoology, Chinese Academy of Sciences Beijing China

2. Department of Environmental Science and Policy University of California Davis California USA

3. University of Chinese Academy of Sciences Beijing China

Abstract

AbstractColonization and extinction at local and regional scales, and gains and losses of patches are important processes in the spatiotemporal dynamics of metacommunities. However, analytical challenges remain in quantifying such spatiotemporal dynamics when species extinction‐colonization and patch gain and loss processes act simultaneously. Recent advances in network analysis show great potential in disentangling the roles of colonization, extinction, and patch dynamics in metacommunities. Here, we developed a species‐patch network approach to quantify metacommunity dynamics including (i) temporal changes in network structure, and (ii) temporal beta diversity of species‐patch links and its components that reflect species extinction‐colonization and patch gain and loss. Application of the methods to simulated datasets demonstrated that the approach was informative about metacommunity assembly processes. Based on three empirical datasets, our species‐patch network approach provided additional information about metacommunity dynamics through distinguishing the effects of species colonization and extinction at different scales from patch gains and losses and how specific environmental factors related to species‐patch network structure. In conclusion, our species‐patch network framework provides effective methods for monitoring and revealing long‐term metacommunity dynamics by quantifying gains and losses of both species and patches under local and global environmental change.

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

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