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将环境和空间过程整合到生态群落动态中。

Integrating environmental and spatial processes in ecological community dynamics.

机构信息

National Center for Ecological Analysis and Synthesis, University of California, Santa Barbara, 735 State Street Suite 300, Santa Barbara, CA 930101, USA.

出版信息

Ecol Lett. 2005 Nov;8(11):1175-82. doi: 10.1111/j.1461-0248.2005.00820.x.

Abstract

The processes controlling the abundances of species across multiple sites form the cornerstone of modern ecology. In these metacommunities, the relative importance of local environmental and regional spatial processes is currently hotly debated, especially in terms of the validity of neutral model. I collected 158 published data sets with information on community structure, environmental and spatial variables. I showed that approximately 50% of the variation in community composition is explained by both environmental and spatial variables. The majority of the data sets were structured by species-sorting dynamics (SS), followed by a combination of SS and mass-effect dynamics. While neutral processes were the only structuring process in 8% of the collected natural communities, disregarding neutral dispersal processes would result in missing important patterns in 37% of the studied communities. Moreover, metacommunity characteristics such as dispersal type, habitat type and spatial scale predicted part of the detected variation in metacommunity structure.

摘要

控制多个地点物种丰度的过程是现代生态学的基石。在这些复合群落中,局部环境和区域空间过程的相对重要性目前备受争议,特别是在中性模型的有效性方面。我收集了 158 个包含群落结构、环境和空间变量信息的已发表数据集。结果表明,环境和空间变量共同解释了群落组成变化的约 50%。大多数数据集由物种分选动力学(SS)构建,其次是 SS 和质量效应动力学的组合。虽然中性过程是所收集的自然群落中 8%的唯一结构过程,但忽略中性扩散过程会导致在 37%的研究群落中遗漏重要模式。此外,扩散类型、生境类型和空间尺度等复合群落特征预测了部分检测到的复合群落结构变化。

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