基于环境DNA技术的乌江流域(贵州段)底栖动物多样性及环境影响因子分析

Analysis of benthic faunal diversity and its driving factors based on environmental DNA technology in the Guizhou section of the Wujiang River Basin

  • 摘要: 环境DNA技术在河湖水生态监测,尤其是喀斯特地貌流域监测研究中具有较大优势和潜力。为了解喀斯特背景下乌江底栖动物群落的空间分布规律及其环境驱动因素,以乌江流域贵州段为研究区,于2024年8月在上、下游区域共设置20个点位开展底栖动物和水环境采样调查,运用环境DNA宏条形码技术进行物种检测,通过物种组成分析、主坐标分析、Mantel检验和共现网络分析等方法,探讨流域底栖动物多样性、群落结构及其与环境因子的关系。结果表明:乌江流域共鉴定出底栖动物4门12纲29目51科82属107种,节肢动物门为优势类群。底栖群落结构在上、下游存在显著差异(R2=0.153,p=0.004),其中Philaccolilus mekusNais christinaeLimnocythere sp.是驱动空间差异的关键物种。水体高锰酸盐指数、流速是影响乌江底栖动物群落组成的主导环境因子。共现网络分析显示,上游群落中物种间的相互作用依赖多物种共同维系,群落功能和结构更稳定;下游群落功能分化增强,物种间互作主要依赖少数关键物种,稳定性较低。研究揭示了乌江底栖群落在群落结构及稳定性上存在显著的上、下游空间分异,结果可为乌江流域水生态保护和分区管理提供参考。

     

    Abstract: Environmental DNA (eDNA) technology has significant advantages and potential in aquatic ecological monitoring of river and lake ecosystems, particularly in karst river basins. In order to understand the spatial distribution patterns of the benthic faunal communities and the environmental driving factors in the karst environment, this study focused on the Guizhou section of the Wujiang River Basin. We collected benthic fauna and water environment samples from 20 sites across the upstream and downstream reaches in August 2024. Benthic fauna were identified using eDNA metabarcoding technology. Furthermore, we employed species composition analysis, principal coordinate analysis (PCoA), Mantel tests, and co-occurrence network analysis to explore benthic faunal diversity, community structure, and their relationships with environmental factors. The results showed that a total of 107 benthic species were identified in the Wujiang River Basin, belonging to 4 phyla, 12 classes, 29 orders, 51 families, and 82 genera, with Arthropoda as the dominant phylum. There were significant differences in benthic community structure between the upstream and downstream reaches (R2=0.153, p=0.004), driven by key species including Philaccolilus mekus, Nais christinae, and Limnocythere sp. The permanganate index (CODMn) and flow velocity were the dominant environmental factors affecting the benthic community composition in the Wujiang River. Co-occurrence network analysis indicated that species interactions in upstream communities were maintained by multiple species, leading to more stable community function and structure. In contrast, downstream communities showed enhanced functional differentiation, with species interactions mainly relying on a few key taxa and lower stability. The study reveals significant spatial differentiation in the community structure and stability of benthic communities between the upstream and downstream reaches of the Wujiang River, and the results can provide a scientific reference for aquatic ecological protection and zonal management in the basin.

     

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