River connectivity determines microbial assembly processes and leads to alternative stable states in river networks

河流生态系统 生态学 生态网络 扰动(地质) 生态位 环境科学 群落结构 利基 生态系统 同种类的 生物地球化学循环 交替稳态 微生物种群生物学 生物 栖息地 遗传学 热力学 物理 古生物学 细菌
作者
Cizhang Hui,Yi Li,Saiyu Yuan,Wenlong Zhang
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:904: 166797-166797 被引量:5
标识
DOI:10.1016/j.scitotenv.2023.166797
摘要

River network is a common form of lotic ecosystems. Variances in river connection modes would form networks with significantly different structures, and further affect aquatic organisms. Microbial communities are vital organisms of river networks, they participate in numerous biogeochemical processes. Identifying associations between microbial community and structural features of river networks are essential for maintaining environmental quality. Thus, dendritic (DRN) and trellised river networks (TRN) were studied by combining molecular biological tools, ecological theory and hydrodynamic calculation. Results illustrated that river connectivity, a vital structural feature exhibiting mass transport ability of river network, increased relative importance of homogeneous selection processes in microbial assembly, which would further shape community with alternative stable states. Between the two researched river networks, DRN possessed higher connectivity, which made homogeneous selection as the driving force in community assembly. The microbial communities in DRN were consisted of species occupying similar ecological niche, and exhibited two alternative stable states, which can decrease influences of environmental disturbance on community composition. On the contrary, lower connectivity of TRN decreased proportions of homogeneous selection in community assembly, which further led to species occupying varied ecological niche. The microbial community exhibited only one stable state, and environmental disturbance would cause loss of ecological niche and significantly alter community composition. This study could provide useful information for the optimization of river connection engineering.
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