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A process-based metacommunity framework linking local and regional scale community ecology
bioRxiv - Ecology Pub Date : 2020-05-22 , DOI: 10.1101/832170
Patrick L. Thompson , Laura Melissa Guzman , Luc De Meester , Zsófia Horváth , Robert Ptacnik , Bram Vanschoenwinkel , Duarte S. Viana , Jonathan M. Chase

The metacommunity concept has the potential to integrate local and regional dynamics within a general community ecology framework. To this end, the concept must move beyond the discrete archetypes that have largely defined it (e.g. neutral vs. species sorting) and better incorporate local scale species interactions and coexistence mechanisms. Here, we present a fundamental reconception of the framework that explicitly links local coexistence theory to the spatial processes inherent to metacommunity theory, allowing for a continuous range of competitive community dynamics. These dynamics emerge from the three underlying processes that shape ecological communities: 1) density-independent responses to abiotic conditions, 2) density-dependent biotic interactions, and 3) dispersal. Stochasticity is incorporated in the demographic realization of each of these processes. We formalize this framework using a simulation model that explores a wide range of competitive metacommunity dynamics by varying the strength of the underlying processes. Using this model and framework, we show how existing theories, including the traditional metacommunity archetypes, are linked by this common set of processes. We then use the model to generate new hypotheses about how the three processes combine to interactively shape diversity, functioning, and stability within metacommunities.

中文翻译:

一个基于过程的元社区框架,将地方和区域规模的社区生态联系起来

元社区概念有可能在一般的社区生态框架内整合本地和区域动态。为此,该概念必须超越已在很大程度上定义了它的离散原型(例如,中性与物种分类),并且更好地结合了当地规模的物种相互作用和共存机制。在这里,我们对框架进行了基本的重新构想,该框架明确地将局部共存理论与元社区理论固有的空间过程联系起来,从而实现了一系列连续的竞争性社区动态。这些动力来自塑造生态群落的三个基本过程:1)对非生物条件的密度非依赖性反应; 2)与密度有关的生物相互作用;以及3)分散。这些过程中每个过程的人口统计学特征都包含了随机性。我们使用模拟模型来规范化此框架,该模型通过改变底层过程的强度来探索各种竞争性的元社区动态。使用该模型和框架,我们将说明现有的理论(包括传统的元社区原型)如何通过这一通用过程集进行链接。然后,我们使用该模型来生成有关这三个过程如何组合以交互地塑造元社区内的多样性,功能和稳定性的新假设。包括传统的元社区原型在内,都通过这一共同的过程集联系在一起。然后,我们使用该模型来生成关于这三个过程如何组合以交互地塑造元社区内的多样性,功能和稳定性的新假设。包括传统的元社区原型在内,都通过这一共同的过程集联系在一起。然后,我们使用该模型来生成关于这三个过程如何组合以交互地塑造元社区内的多样性,功能和稳定性的新假设。
更新日期:2020-05-22
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