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ORIGINAL RESEARCH article
Front. Ecol. Evol.
Sec. Biogeography and Macroecology
Volume 12 - 2024 |
doi: 10.3389/fevo.2024.1448842
Spatial processes dominate the metacommunity structure and diversity of macroinvertebrates in the waters of eastern China
Provisionally accepted
Zheng Biao
1
Tian Shuang
1*
Sun Bingjiao
1*
Gao Xin
2*
Han Wennuo
1*
Wu Bin
3*
Hu Sheng
4*
Li Zhao
1*- 1 China National Environmental Monitoring Center, Beijing, Beijing Municipality, China
- 2 State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, Beijing Municipality, China
- 3 Research Center for Monitoring and Environmental Sciences, Taihu Basin & East China Sea Ecological Environment Supervision and Administration Authority, Ministry of Ecology and Environment, Shanghai, China
- 4 Yangtze Valley Water Environment Monitoring Center, Wuhan, China
The emergence of metacommunity theory has provided a framework for studying the spatial structure of biological communities. To unravel the underlying driving mechanisms of macroinvertebrate metacommunity structure and diversity, this paper evaluates macroinvertebrate data from a water body in eastern China using variance decomposition and stratified partitioning. The results suggest that spatial processes dominate macroinvertebrate metacommunity structure, while the combined effects of spatial processes, aquatic environment, and geoclimatic factors also explain part of the macroinvertebrate community structure. Spatial processes, aquatic environment, and geoclimatic factors significantly influenced macroinvertebrate alpha diversity and indirectly influenced beta diversity through alpha diversity. Therefore, the significant effects of spatial processes and geoclimatic variables cannot be ignored in biological assessments, especially biodiversity assessments. Our findings elucidate the metacommunity dynamics in the region and provide crucial information for conservation planning in riverine ecosystems.
Keywords: metacommunities, variance partitioning, partial least squares path modeling, spatial processes, macroinvertebrates
Received: 14 Jun 2024; Accepted: 09 Sep 2024.
Copyright: © 2024 Biao, Shuang, Bingjiao, Xin, Wennuo, Bin, Sheng and Zhao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Tian Shuang, China National Environmental Monitoring Center, Beijing, Beijing Municipality, China
Sun Bingjiao, China National Environmental Monitoring Center, Beijing, Beijing Municipality, China
Gao Xin, State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, Beijing Municipality, China
Han Wennuo, China National Environmental Monitoring Center, Beijing, Beijing Municipality, China
Wu Bin, Research Center for Monitoring and Environmental Sciences, Taihu Basin & East China Sea Ecological Environment Supervision and Administration Authority, Ministry of Ecology and Environment, Shanghai, China
Hu Sheng, Yangtze Valley Water Environment Monitoring Center, Wuhan, China
Li Zhao, China National Environmental Monitoring Center, Beijing, Beijing Municipality, China
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