Fine-scale environmental gradients formed by local pollutants largely impact zooplankton communities in running water ecosystems
Fine-scale environmental gradients formed by local pollutants largely impact zooplankton communities in running water ecosystems
复制标题
当地污染物形成的细尺度环境梯度很大程度上影响流水生态系统中的浮游动物群落
DOI：
10.3354/ab00695
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发表时间：
2018-05
期刊：
影响因子：
1.4
通讯作者：
Aibin Zhan
中科院分区：
文献类型：
--
作者：
Heng Peng;Wei Xiong;Aibin Zhan
许多淡水生态系统受到来自人类活动的多种环境压力。因此，有必要研究环境变化如何影响浮游动物等生物群落的组成和功能。在精细的地理尺度上，一个著名的关于元群落动态的观点表明，高度分散可以强烈地使群落结构沿着水流均匀化，在很大程度上消除了物种分类留下的信号。然而，Xiong et al.（2017; Mol Ecol 26：4351−4360）最近的一项研究挑战了这一观点，表明来自环境梯度的物种分类推翻了分散过程，以确定精细地理尺度下流动河流生态系统中浮游动物群落结构（精细尺度物种分类假说）。本文以中国北方的阜阳河浮游动物群落为研究对象，对这一假说进行了验证，并分析了影响浮游动物群落动态的环境因素。基于高通量测序的多重分析显示，浮游动物群落组成和地理分布由环境梯度决定。我们的研究清楚地表明，当地的化学污染，如金属污染物铜和镁，在很大程度上有助于观察到的模式。我们的研究成功地确定了影响元社区动态的当地污染物。因此，我们支持细尺度物种分类假说，表明在精细的地理尺度上的强环境梯度可以加强物种分类的过程。由于许多河流遭受人为环境压力，迫切需要将环境和社区信息，调查环境变化如何影响社区的组成和功能。
Many freshwater ecosystems suffer from multiple environmental stressors derived from anthropogenic activities. It is therefore necessary to investigate how environmental changes influence composition and functioning of biological communities such as zooplankton. At fine geographical scales, a well-known view on meta-community dynamics suggests that high dispersal can strongly homogenize community structure along water flows, largely erasing signals left by species sorting. However, a recent study by Xiong et al. (2017; Mol Ecol 26:4351−4360) challenges this view, showing that species sorting derived from an environmental gradient overrode the process of dispersal to determine the zooplankton community structure in running river ecosystems at fine geographical scales (the fine-scale species sorting hypothesis). Here we chose zooplankton communities from Fuyang River in north China to test the newly proposed hypothesis and identified the environmental factors contributing to meta-community dynamics in running water ecosystems. Multiple analyses based on high-throughput sequencing showed significantly varied zooplankton community composition and geographical distribution determined by an environmental gradient. Our study clearly shows that local chemical pollution, such as metal pollutants Cu and Mg, largely contributes to the observed patterns. Our study successfully identified local pollutants that influenced meta-community dynamics. Thus, we support the fine-scale species sorting hypothesis, indicating that a strong environmental gradient at fine geographical scales can strengthen the process of species sorting. As many rivers suffer from anthropogenic environ mental stressors, an urgent need exists to integrate both environmental and community infor mation when investigating how environmental changes influence community composition and functioning.
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