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通过种-斑块网络方法来厘清复合生物群区的时空动态。

Disentangling spatiotemporal dynamics in metacommunities through a species-patch network approach.

机构信息

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

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

出版信息

Ecol Lett. 2023 Aug;26(8):1261-1276. doi: 10.1111/ele.14243. Epub 2023 May 12.

Abstract

Colonization 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.

摘要

在局部和区域尺度上的定殖和灭绝,以及斑块的获得和损失,是复合种群时空动态的重要过程。然而,当物种灭绝-定殖和斑块获得和损失过程同时发生时,量化这种时空动态仍然存在分析上的挑战。网络分析的最新进展表明,在解析复合种群中定殖、灭绝和斑块动态的作用方面具有很大的潜力。在这里,我们开发了一种物种-斑块网络方法来量化复合种群动态,包括(i)网络结构的时间变化,以及(ii)物种-斑块联系的时间 beta 多样性及其组成部分,反映了物种灭绝-定殖和斑块获得和损失。该方法在模拟数据集上的应用表明,该方法提供了关于复合种群组装过程的信息。基于三个经验数据集,我们的物种-斑块网络方法通过区分不同尺度上物种定殖和灭绝与斑块获得和损失的影响,以及与物种-斑块网络结构相关的特定环境因素,提供了关于复合种群动态的额外信息。总之,我们的物种-斑块网络框架通过量化局部和全球环境变化下物种和斑块的获得和损失,为监测和揭示长期复合种群动态提供了有效的方法。

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