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      Multi-group biodiversity distributions and drivers of metacommunity organization along a glacial-fluvial-limnic pathway on the Tibetan plateau.

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          Abstract

          Extensive global glacial retreats are threatening cryosphere ecosystem functioning and the associated biota in glacier-fed water systems. Understanding multi-group biodiversity distributions and compositional variation across diverse but hydrologically linked habitats under varying glacial influences will help explain the mechanisms underlying glacial community organization and ecosystem processes. However, such data are generally lacking due to the difficulty of obtaining biodiversity information across wide taxonomic ranges. Here, we used a multi-marker environmental DNA metabarcoding approach to simultaneously investigate the spatial patterns of community compositions and assembly mechanisms of four taxonomic groups (cyanobacteria, diatoms, invertebrates, and vertebrates) along the flowpaths of a tributary of Lake Nam Co on the Tibetan Plateau-from its glacier headwaters, through its downstream river and wetlands, to its estuary. We detected 869 operational taxonomic units: 119 cyanobacterial, 395 diatom, 269 invertebrate, and 86 vertebrate. Taxonomic richnesses consistently increased from upstream to downstream, and although all groups showed community similarity distance decay patterns, the trend for vertebrates was the weakest. Cyanobacteria, diatom, and invertebrate community compositions were significantly correlated with several environmental factors, while the vertebrate community was only correlated with waterway width. Variation partitioning analysis indicated that varying extents of environmental conditions and spatial factors affected community organizations for different groups. Furthermore, stochastic processes contributed prominently to the microorganisms' community assembly (Sloan's neutral model R2 = 0.77 for cyanobacteria and 0.73 for diatoms) but were less important for macroorganisms (R2 = 0.21 for invertebrates and 0.15 for vertebrates). That trend was further substantiated by modified stochasticity ratio analyses. This study provides the first holistic picture of the diverse biotic communities residing in a series of hydrologically connected glacier-influenced habitats. Our results both uncovered the distinct mechanisms that underlie the metacommunity organizations of different glacial organisms and helped comprehensively predict the ecological impacts of the world's melting glaciers.

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          Author and article information

          Journal
          Environ Res
          Environmental research
          Elsevier BV
          1096-0953
          0013-9351
          Mar 01 2023
          : 220
          Affiliations
          [1 ] School of Life Sciences, Peking University, Beijing, 100871, China; Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
          [2 ] Beijing Yanshan Earth Critical Zone National Research Station, University of Chinese Academy of Sciences, Beijing, 101408, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
          [3 ] Beijing Yanshan Earth Critical Zone National Research Station, University of Chinese Academy of Sciences, Beijing, 101408, China.
          [4 ] School of Life Sciences, Peking University, Beijing, 100871, China.
          [5 ] College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China; State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Chinese Academy of Sciences, Beijing, 100101, China. Electronic address: yfwang@ucas.ac.cn.
          [6 ] School of Life Sciences, Peking University, Beijing, 100871, China; Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China. Electronic address: yaom@pku.edu.cn.
          Article
          S0013-9351(23)00028-2
          10.1016/j.envres.2023.115236
          36621545
          5a1feff3-af62-4994-aa8d-3e683491d196
          History

          eDNA,Neutral community model,Normalized stochasticity ratio,Variation partitioning,Community assembly,Distance decay

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