University of Oulu

Xiaoming Jiang, Xing Sun, Janne Alahuhta, Jani Heino, Zhicai Xie, Responses of multiple facets of macroinvertebrate alpha diversity to eutrophication in floodplain lakes, Environmental Pollution, Volume 306, 2022, 119410, ISSN 0269-7491, https://doi.org/10.1016/j.envpol.2022.119410

Responses of multiple facets of macroinvertebrate alpha diversity to eutrophication in floodplain lakes

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Author: Jiang, Xiaoming1,2; Sun, Xing1; Alahuhta, Janne3;
Organizations: 1State Key Laboratory of Eco-hydraulic in Northwest Arid Region of China, Xi'an University of Technology, Xi'an, 710048, Shaanxi, China
2CAS Key Laboratory of Aquatic Biodiversity and Conservation, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
3Geography Research Unit, University of Oulu, P. O. Box 8000, FI-90014, Oulu, Finland
4Freshwater Centre, Finnish Environment Institute, Paavo Havaksen Tie 3, P.O. Box 413, FI-90014, Oulu, Finland
Format: article
Version: accepted version
Access: embargoed
Persistent link: http://urn.fi/urn:nbn:fi-fe202301162878
Language: English
Published: Elsevier, 2022
Publish Date: 2024-05-04
Description:

Abstract

The accelerated eutrophication of freshwater lakes has become an environmental problem worldwide. Increasing numbers of studies highlight the need to incorporate functional and phylogenetic information of species into bioassessment programms, but it is still poorly understood how eutrophication affects multiple diversity facets of freshwater communities. Here, we assessed the responses of taxonomic, phylogenetic and functional diversity of benthic macroinvertebrates to water eutrophication in 33 lakes in the Yangtze River floodplain in China. Our results showed that macroinvertebrate assemblage structure was significantly different among four lake groups (river-connected, macrophyte-dominated, macrophyte-algae transition, and algae-dominated). Three taxonomic, two phylogenetic and two functional diversity indices were significantly different among the lake groups. Except for the increasing trend of Lambda⁺, these metrics showed a clear decreasing trend with increasing levels of eutrophication, with highest values detected in river-connected and macrophyte-dominated lakes, followed by macrophyte-algae transition lakes and algal-dominated lakes. Although differing in the number and identity of key environmental and spatial variables among the explanatory models of different diversity indices, environmental factors (eutrophication-related water quality variables) played more important role than spatial factors in structuring all three facets of alpha diversity. The predominant role of environmental filtering can be attributed to the strong eutrophication gradient across the studied lakes. Among the three diversity facets, functional diversity indices performed best in portraying anthropogenic disturbances, with variations in these indices being solely explained by environmental factors. Spatial factors were mostly weak or negligible in accounting for the variation in functional diversity indices, implying that trait-based indices are robust in portraying anthropogenic eutrophication in floodplain lakes. However, variation in some taxonomic and phylogenetic diversity indices were also affected by spatial factors, indicating that conservation practitioners and environmental managers should use these metrics with caution when providing solutions for addressing eutrophication in floodplain lakes.

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Series: Environmental pollution
ISSN: 0269-7491
ISSN-E: 1873-6424
ISSN-L: 0269-7491
Volume: 306
Article number: 119410
DOI: 10.1016/j.envpol.2022.119410
OADOI: https://oadoi.org/10.1016/j.envpol.2022.119410
Type of Publication: A1 Journal article – refereed
Field of Science: 1171 Geosciences
1172 Environmental sciences
Subjects:
Funding: This work was financially supported by the Featured Institute Service Projects from the Institute of Hydrobiology, the Chinese Academy of Sciences (grant numbers: Y85Z0511), Special Foundation for National Science and Technology Basic Research Program of China (2019FY101903), and the National Natural Science Foundation of China (Grant No. 31770460).
Copyright information: © 2022. This manuscript version is made available under the CC-BY-NC-ND 4.0 license by http://creativecommons.org/licenses/by-nc-nd/4.0/.
  https://creativecommons.org/licenses/by-nc-nd/4.0/