Riverine network size determined major driving factors of the composition and diversity of aquatic invertebrate communities in a multi-tributary mountain river basin

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Chao Chang , Mi Ren , Han Wang , Sisi Ye , Xiaofeng Tang , Ding He , En Hu , Ming Li , Baozhu Pan
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引用次数: 0

Abstract

Revealing the spatial variation of aquatic invertebrates and their response to biotic and abiotic factors, from headwaters to estuaries, is crucial for understanding their successional patterns and protecting watershed ecosystems. This study aimed to explore the biogeographic patterns and identify the primary drivers of invertebrate community structure across river networks of varying sizes using environmental DNA (eDNA) technology. To assess the contribution of biotic and abiotic factors to invertebrate communities, we collected six categories of abiotic factors: geography, climate, hydro-morphology, human footprint index, land use, and water quality. For biotic factors, four microbial groups including archaea, bacteria, fungi, and protists were identified using eDNA techniques. Water samples were collected from a total of 187 sample sites in the upper Hanjiang River basin (China) during two seasons (Spring and Autumn), covering the transition from the headwater tributaries to the lower reaches of the main channel. The results revealed that environmental factors explained approximately 6.5 times more variation in invertebrate eDNA communities than geographic factors. Water quality and biotic factors had strong explanatory power for invertebrate eDNA diversity. Ecological succession of invertebrate eDNA communities along the river continuum showed a shift from Arthropoda-dominated communities in the headwaters to a co-dominance of Arthropoda, Rotifera, and Cnidaria downstream. The cumulative dendritic distance upstream, representing the location of each sampling site within the river network, emerged as the most predictive spatial feature. Significant differences were observed in the dominant environmental factors influencing community diversity across different river network sizes. In small river networks, invertebrate eDNA diversity was primarily influenced by biotic factors, while in medium-sized networks, it was shaped by a combination of biotic factors and water quality. In large river networks, water quality emerged as the primary driver. These findings suggest that invertebrate communities throughout the Hanjiang River basin undergo ecological succession along the river continuum, primarily shaped by environmental factors related to river network size.

Abstract Image

Abstract Image

河流网络大小决定了多支流山地河流流域水生无脊椎动物群落组成和多样性的主要驱动因素
揭示水生无脊椎动物从源头到河口的空间变化及其对生物和非生物因子的响应,对于理解其演替模式和保护流域生态系统具有重要意义。本研究旨在利用环境DNA (environmental DNA, eDNA)技术探索不同大小河网中无脊椎动物群落结构的生物地理模式和主要驱动因素。为了评估生物和非生物因素对无脊椎动物群落的贡献,我们收集了6类非生物因素:地理、气候、水文形态、人类足迹指数、土地利用和水质。生物因子方面,利用eDNA技术鉴定了古生菌、细菌、真菌和原生生物等4个微生物类群。对汉江上游187个样点进行了春季和秋季两个季节的水样采集,覆盖了汉江上游支流向干流下游的过渡。结果表明,环境因素对无脊椎动物eDNA群落变异的解释大约是地理因素的6.5倍。水质和生物因子对无脊椎动物eDNA多样性具有较强的解释力。河流连续体无脊椎动物eDNA群落的生态演替呈现出由上游节肢动物为主向下游节肢动物、轮虫和刺胞动物共同为主转变的趋势。上游累积的树突距离,代表了河网内每个采样点的位置,成为最具预测性的空间特征。不同河网大小影响群落多样性的主要环境因子存在显著差异。在小型河流网络中,无脊椎动物eDNA多样性主要受生物因素的影响,而在中型河流网络中,无脊椎动物eDNA多样性主要受生物因素和水质的共同影响。在大型河网中,水质成为主要驱动因素。这些结果表明,整个汉江流域的无脊椎动物群落沿着河流连续体进行生态演替,主要由与河网大小相关的环境因素决定。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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