Department of Entomology, College of Plant Protection, Nanjing Agricultural University, Nanjing 210095, PR China; INRAE, UR RiverLy, Centre de Lyon-Villeurbanne, 69626 Villeurbanne Cedex, France.
Department of Entomology, College of Plant Protection, Nanjing Agricultural University, Nanjing 210095, PR China.
Sci Total Environ. 2022 Sep 1;837:155687. doi: 10.1016/j.scitotenv.2022.155687. Epub 2022 May 4.
Identifying the underlying ecological drivers of macroinvertebrate community assembly is fundamental to metacommunity ecology. Comparably, determining the influence of different drivers on beta diversity patterns can provide insight into processes governing community organization. Exploring the ecological drivers of metacommunity and beta diversity are major avenues to improve bioassessment, restoration, and river management, which are still poorly explored in China, especially in subtropical highly developed river networks. To address this gap, we use a dataset (macroinvertebrate communities and environmental variables) collected from the Yangtze River Delta, China to test the above ideas. We used the K-means clustering method to divide 405 river sites into three anthropogenic impacted groups, nearly pristine sites, moderately impacted sites, and heavily impacted sites, and subsequently used partial Mantel tests to investigate how species sorting and dispersal shaped the metacommunity that varied with the levels of anthropogenic impacts and to explore the responses of different components of beta diversity to environmental and spatial distances among sites for each group. Our results revealed that both species sorting and dispersal shape communities, but the importance of species sorting and dispersal varied with the levels of anthropogenic impacts. Nearly pristine sites were mostly shaped only by species sorting, while heavily impacted sites were shaped by dispersal. We also found that turnover was by far the dominant component of beta diversity across all levels of impact. Therefore, we encourage that environmental variables and spatial processes should be considered in bioassessment approaches. In addition, it is essential to focus on maintaining habitat heterogeneity and identifying and protecting regional species pools that could improve local biodiversity through dispersal for ecosystem management of the Yangtze River Delta of China.
确定大型无脊椎动物群落组装的潜在生态驱动因素对于集合生态学至关重要。同样，确定不同驱动因素对β多样性模式的影响可以深入了解控制群落组织的过程。探索集合和β多样性的生态驱动因素是改善生物评估、恢复和河流管理的主要途径，但在中国，特别是在亚热带高度发达的河流网络中，这些途径仍未得到充分探索。为了解决这一差距，我们使用了一个从中国长江三角洲采集的数据集（大型无脊椎动物群落和环境变量）来检验上述想法。我们使用 K-均值聚类方法将 405 个河流站点分为三组：受人为影响较大的站点、受人为影响较小的站点和受人为影响较小的站点，然后使用部分 Mantel 测试来研究物种分类和扩散如何塑造随着人为影响程度的变化而变化的集合，以及探索不同组成部分的β多样性对环境和站点之间空间距离的反应。我们的结果表明，物种分类和扩散都塑造了群落，但物种分类和扩散的重要性因人为影响程度而异。受人为影响较小的站点主要受物种分类的影响，而受人为影响较大的站点则受扩散的影响。我们还发现，周转率是所有影响水平下β多样性的主要组成部分。因此，我们鼓励在生物评估方法中考虑环境变量和空间过程。此外，必须注重维护生境异质性，确定和保护区域物种库，通过扩散来提高当地生物多样性，从而实现中国长江三角洲的生态系统管理。
