Zhong Wenjun, Bi Wanjuan, Zhang Yan, Li Feilong, Zhang Zehua, Huang Xiangyun, Liu Xunjie, Wang Yifan, Zhang Song, Xu Shan, Pellissier Loïc, Zhang Xiaowei
State Key Laboratory of Water Pollution Control and Green Resource Recycling, School of the Environment Nanjing University Nanjing China.
Landscape Ecology, Department of Environmental System Science, Institute of Terrestrial Ecosystems ETH Zurich Zurich Switzerland.
Ecol Evol. 2025 Apr 9;15(4):e71279. doi: 10.1002/ece3.71279. eCollection 2025 Apr.
Mountain river ecosystems, globally recognized biodiversity hotspots shaped by pronounced landscape heterogeneity, are facing intensifying anthropogenic pressures. However, interactions between landscape and anthropogenic activity on montane fish biodiversity remain poorly quantified. Taking the Yuan River (Yunnan, China) as a model system, environmental DNA (eDNA) and partial least squares structural equation modeling (PLS-SEM) were coupled to disentangle responses of fish biodiversity facets (taxonomic, functional and genetic diversity) to elevation and human footprint gradients. First, eDNA-derived taxonomic composition ( = 0.97 against catch data) demonstrated Cypriniformes and Perciformes dominance. Second, downstream areas exhibited enhanced taxonomic ( = 0.32) and functional diversity ( = 0.49), contrasting with upstream genetic diversity maxima ( = -0.47). Third, elevation gradients and human footprint exerted stronger direct effects on taxonomic diversity than on functional or genetic metrics, independent of spatial autocorrelation. Crucially, PLS-SEM identified water quality (i.e., total phosphorus (TP), total nitrogen (TN), biochemical oxygen demand (BOD), and total organic carbon (TOC)) as a pivotal mediator linking elevation and human footprint to biodiversity outcomes. Overall, the present study establishes a mechanistic framework for disentangling landscape and anthropogenic drivers of biodiversity change, offering a scalable reference for conservation prioritization in montane freshwater ecosystems.
山区河流生态系统是全球公认的由显著景观异质性塑造的生物多样性热点地区,正面临着日益加剧的人为压力。然而,景观与人为活动对山区鱼类生物多样性的相互作用仍缺乏量化研究。以中国云南的沅江为模型系统,将环境DNA(eDNA)与偏最小二乘结构方程模型(PLS-SEM)相结合,以厘清鱼类生物多样性各方面(分类、功能和遗传多样性)对海拔和人类足迹梯度的响应。首先,基于eDNA的分类组成(与捕捞数据的相关性为0.97)表明鲤形目和鲈形目占主导地位。其次,下游地区的分类多样性(相关性为0.32)和功能多样性(相关性为0.49)有所增强,而上游地区的遗传多样性最高(相关性为-0.47),形成对比。第三,海拔梯度和人类足迹对分类多样性的直接影响比对功能或遗传指标的影响更强,且不受空间自相关的影响。至关重要的是,PLS-SEM确定水质(即总磷(TP)、总氮(TN)、生化需氧量(BOD)和总有机碳(TOC))是将海拔和人类足迹与生物多样性结果联系起来的关键中介因素。总体而言,本研究建立了一个用于厘清生物多样性变化的景观和人为驱动因素的机制框架,为山区淡水生态系统的保护优先排序提供了一个可扩展的参考。