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花斑群落中的物种分选和斑块动态影响环境与空间的相对重要性。

Species sorting and patch dynamics in harlequin metacommunities affect the relative importance of environment and space.

作者信息

Leibold Mathew A, Loeuille Nicolas

出版信息

Ecology. 2015 Dec;96(12):3227-33. doi: 10.1890/14-2354.1.

Abstract

Metacommunity theory indicates that variation in local community structure can be partitioned into components including those related to local environmental conditions vs. spatial effects and that these can be quantified using statistical methods based on variation partitioning. It has been hypothesized that joint associations of community composition with environment and space could be due to patch dynamics involving colonization-extinction processes in environmentally heterogeneous landscapes but this has yet to be theoretically shown. We develop a two-patch, type-two, species competition model in such a "harlequin" landscape (where different patches have different environments) to evaluate how composition is related to environmental and spatial effects as a function of background extinction rate. Using spatially implicit analytical models, we find that the environmental association of community composition declines with extinction rate as expected. Using spatially explicit simulation models, we further find that there is an increase in the spatial structure with extinction due to spatial patterning into clusters that are not related to environmental conditions but that this increase is limited. Natural metacommunities often show both environment and spatial determination even under conditions of relatively high isolation and these could be more easily explained by our model than alternative metacommunity models.

摘要

集合群落理论表明,局部群落结构的变异可以被划分为多个组成部分,包括与局部环境条件相关的部分和与空间效应相关的部分,并且可以使用基于变异划分的统计方法对这些部分进行量化。据推测,群落组成与环境和空间的联合关联可能归因于斑块动态,这涉及到环境异质性景观中的定殖 - 灭绝过程,但这一点尚未在理论上得到证明。我们在这样一个“花斑”景观(不同斑块具有不同环境)中开发了一个双斑块、二类物种竞争模型,以评估群落组成如何作为背景灭绝率的函数与环境和空间效应相关。使用空间隐含分析模型,我们发现群落组成与环境的关联如预期那样随着灭绝率下降。使用空间明确模拟模型,我们进一步发现,由于形成了与环境条件无关的集群的空间格局,空间结构随着灭绝而增加,但这种增加是有限的。即使在相对高隔离的条件下,自然集合群落通常也表现出环境和空间的决定性作用,并且与其他集合群落模型相比,我们的模型能够更轻松地解释这些现象。

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