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Intrinsic and extrinsic causes of spatial variability across scales in a metacommunity

机译:元社区跨尺度空间变异的内在和外在原因

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The relative importance of extrinsic and intrinsic causes of variability is among the oldest unresolved problems in ecology. However, the interaction between large-scale intrinsic variability in species abundance and environmental heterogeneity is still unknown. We use a metacommunity model with disturbance-recovery dynamics to resolve the interaction between scales of environmental heterogeneity, biotic processes and of intrinsic variability. We explain how population density increases with environmental variability only when its scale matches that of intrinsic patterns of abundance, through their ability to develop in heterogeneous environments. Succession dynamics reveals how the strength of local species interactions, through its control of intrinsic variability, can in turn control the scale of metapopulation response to environmental scales. Our results show that the environment and species density might fail to show any correlation despite their strong causal association. They more generally suggest that the spatial scale of ecological processes might not be sufficient to build a predictive framework for spatially heterogeneous habitats, including marine reserve networks. (C) 2007 Elsevier Ltd. All rights reserved.
机译:外在和内在的可变性原因的相对重要性是生态学中最古老的尚未解决的问题。然而,物种丰富度的大规模内在变异与环境异质性之间的相互作用仍然是未知的。我们使用具有干扰恢复动力学的元社区模型来解决环境异质性,生物过程和内在变异性之间的相互作用。我们解释了人口密度如何通过其在异质环境中发展的能力,仅在其规模与内在的富足模式相匹配时才随环境变化而增加。演替动力学揭示了本地物种相互作用的强度如何通过其对内在变异性的控制反过来可以控制对环境规模的亚种群响应的规模。我们的结果表明,尽管环境和物种密度之间存在很强的因果联系,但可能仍未显示任何相关性。他们更普遍地认为,生态过程的空间规模可能不足以为空间异质生境(包括海洋保护区网络)建立预测框架。 (C)2007 Elsevier Ltd.保留所有权利。

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