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Assessing metacommunity processes through signatures in spatiotemporal turnover of community composition.
Ecology Letters ( IF 7.6 ) Pub Date : 2020-06-21 , DOI: 10.1111/ele.13523
Franck Jabot 1 , Fabien Laroche 2 , François Massol 3, 4 , Florent Arthaud 5 , Julie Crabot 6 , Maxime Dubart 7 , Simon Blanchet 8 , François Munoz 9 , Patrice David 7 , Thibault Datry 6
Affiliation  

Although metacommunity ecology has been a major field of research in the last decades, with both conceptual and empirical outputs, the analysis of the temporal dynamics of metacommunities has only emerged recently and consists mostly of repeated static analyses. Here we propose a novel analytical framework to assess metacommunity processes using path analyses of spatial and temporal diversity turnovers. We detail the principles and practical aspects of this framework and apply it to simulated datasets to illustrate its ability to decipher the respective contributions of entangled drivers of metacommunity dynamics. We then apply it to four empirical datasets. Empirical results support the view that metacommunity dynamics may be generally shaped by multiple ecological processes acting in concert, with environmental filtering being variable across both space and time. These results reinforce our call to go beyond static analyses of metacommunities that are blind to the temporal part of environmental variability.

中文翻译:

通过社区组成的时空转换中的签名来评估元社区过程。

尽管在过去的几十年中,元社区生态学一直是研究的主要领域,但在概念和实证输出上,对元社区的时间动态的分析直到最近才出现,并且主要由重复的静态分析组成。在这里,我们提出了一种新颖的分析框架,用于使用时空多样性周转的路径分析来评估元社区过程。我们详细介绍了此框架的原理和实用方面,并将其应用于模拟数据集,以说明其破译元社区动态纠缠驱动程序各自贡献的能力。然后,我们将其应用于四个经验数据集。实证结果支持这样一种观点,即元社区动态通常可能由多个共同作用的生态过程所决定,环境过滤在空间和时间上都是可变的。这些结果加强了我们的呼吁,即超越了对环境不稳定的时间部分视而不见的元社区的静态分析。
更新日期:2020-08-10
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