The internal structure of metacommunities
The internal structure of metacommunities
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元社区的内部结构
DOI：
10.1111/oik.08618
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发表时间：
2022
期刊：
影响因子：
3.4
通讯作者：
Chase, Jonathan M.
中科院分区：
文献类型：
--
作者：
Leibold, Mathew A.;Rudolph, F. Javiera;Blanchet, F. Guillaume;De Meester, Luc;Gravel, Dominique;Hartig, Florian;Peres‐Neto, Pedro;Shoemaker, Lauren;Chase, Jonathan M.
目前对元群落数据的分析主要集中在整个元群落的全局属性，例如平均α、β和γ多样性，以及将成分变异划分为对空间和环境影响的贡献的单一估计，以及最近物种相互作用的可能贡献。然而，这种观点忽视了这样一个事实，即景观中的不同物种和地点在对这些元群落属性的贡献方面可能存在很大差异。我们主张建立一个具有匹配分析的新概念框架，其目标是研究元社区中过程和模式之间复杂且互动的关系，重点关注物种之间和地点之间的变化，我们称之为元社区的“内部结构”。为了演示如何研究内部结构，我们使用基于过程的殖民-灭绝元群落模型创建合成数据。然后，我们使用联合物种分布模型来估计驱动元群落组装的空间、环境和生物相互作用的贡献在物种和地点之间有何不同。我们发现，这种研究元群落内部结构的方法提供了有关不同物种和不同地点对元群落结构贡献的不同方式的有用信息。尽管它有局限性，但我们的工作指出了一种更通用的方法来理解其他可能的复杂性如何影响内部结构，并因此可能被纳入更具凝聚力的元社区理论中。
Current analyses of metacommunity data largely focus on global attributes across the entire metacommunity, such as mean alpha, beta, and gamma diversity, as well as the partitioning of compositional variation into single estimates of contributions of space and environmental effects and, more recently, possible contributions of species interactions. However, this view neglects the fact that different species and sites in the landscape can vary widely in how they contribute to these metacommunity‐wide attributes. We argue for a new conceptual framework with matched analytics with the goals of studying the complex and interactive relations between process and pattern in metacommunities that is focused on the variation among species and among sites which we call the ‘internal structure' of the metacommunity. To demonstrate how the internal structure could be studied, we create synthetic data using a process‐based colonization–extinction metacommunity model. We then use joint species distribution models to estimate how the contributions of space, environment, and biotic interactions driving metacommunity assembly differ among species and sites. We find that this approach to the internal structure of metacommunities provides useful information about the distinct ways that different species and different sites contribute to metacommunity structure. Although it has limitations, our work points at a more general approach to understand how other possible complexities might affect internal structure and might thus be incorporated into a more cohesive metacommunity theory.