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Wind dispersal results in a gradient of dispersal limitation and environmental match among discrete aquatic habitats

机译:风的散布导致离散水生生境之间散布限制和环境匹配的梯度

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摘要

Directional dispersal by wind and other dispersal agents may generate spatial patterns in passively dispersing metacommunities which cannot be detected by classical eigenvector methods based on Euclidean distances. We analysed zooplankton communities (Rotifera, Cladocera, Copepoda) in a cluster of soda pans distributed over a short spatial scale of 18 km and tested explicitly for directional signals in their spatial configuration. The study area is exposed to a prevailing northwestern wind direction. By applying asymmetric eigenvector maps (AEM), we were able to identify corresponding directionality in the spatial structure of communities. Furthermore, the match between community composition and environmental conditions exhibited a spatial pattern consistent with the prevailing wind corridor, with best match found downwind the dominant wind direction. We also found that classical eigenvector methods based on Euclidean distances underestimated the role of spatial processes in our data. Our study furthermore shows that dispersal limitation may constrain community assembly in highly mobile organisms even at spatial scales below 5 km.
机译:风和其他分散剂的定向分散可能会在被动分散的元族中生成空间模式,而基于欧几里得距离的经典特征向量方法无法检测到这种模式。我们分析了分布在18 km的短空间规模中的苏打锅簇中的浮游动物群落(轮虫,克拉科德拉,era足类),并明确测试了其空间配置中的定向信号。研究区域暴露于盛行的西北风向。通过应用非对称特征向量图(AEM),我们能够确定社区空间结构中的相应方向性。此外,群落组成与环境条件之间的匹配呈现出与盛行风道相一致的空间格局,其中最佳匹配被发现为顺风为主风向。我们还发现,基于欧几里得距离的经典特征向量方法低估了空间过程在数据中的作用。我们的研究进一步表明,即使在低于5 km的空间尺度上,散布限制也可能会限制高迁移生物中的群落聚集。

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