文献类型：期刊文献

英文题名：Comparison of different macroinvertebrates bioassessment indices in a large near-natural watershed under the context of metacommunity theory

作者：Liu, Guohao[1,2,3] Qi, Xinxin[1,2,3] Lin, Zongwei[1,2,3] Lv, Yuanyuan[1,2,3] Khan, Sangar[1,2,3] Qu, Xiaodong[4] Jin, Binsong[5] Wu, Ming[6] Oduro, Collins[1,2,3] Wu, Naicheng[1,2,3,7]

第一作者：Liu, Guohao

通信作者：Wu, NC[1]

机构：[1]Ningbo Univ, Dept Geog & Spatial Informat Tech, Ningbo, Peoples R China;[2]Ningbo Univ, Zhejiang Collaborat Innovat Ctr, Ningbo, Peoples R China;[3]Ningbo Univ, Ningbo Univ Collaborat Innovat Ctr Land & Marine, Ningbo, Peoples R China;[4]China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing, Peoples R China;[5]Hangzhou Normal Univ, Coll Life & Environm Sci, Hangzhou, Peoples R China;[6]Chinese Acad Forestry, Res Inst Subtrop Forestry, Wetland Ecosyst Res Stn Hangzhou Bay, Hangzhou, Peoples R China;[7]Ningbo Univ, Dept Geog & Spatial Informat Tech, Ningbo 315211, Peoples R China

年份：2024

卷号：14

期号：2

外文期刊名：ECOLOGY AND EVOLUTION

收录：;Scopus(收录号：2-s2.0-85184238478);WOS:【SCI-EXPANDED(收录号:WOS:001158031900001)】；

基金：National Natural Science Foundation of China, Grant/Award Number: 52279068 and 42350410434

语种：英文

外文关键词：aquatic insects; biomonitoring; biotic index; dispersal processes; freshwater ecosystems; stream; trait

摘要：The metacommunity theory proposes that community structure and biodiversity are influenced by both local processes (such as environmental filtering) and regional processes (such as dispersal). Despite the extensive use of traditional bioassessments based on species-environment relationships, the impact of dispersal processes on these assessments has been largely overlooked. This study aims to compare correlations between various bioassessment indices, including Shannon Weiner (H '), Biological Monitoring Working Party (BMWP), average score per taxon (ASPT), biotic index (BI), and EPT taxa index (EPT), based on macroinvertebrates collected from 147 sampling sites in a subtropical Chinese near-natural catchment. Modified indices were calculated by removing species strongly influenced by dispersal processes to address the influence of dispersal processes. Their relationship with environmental factors was then compared to the original indices. The study employed random forest regression (RFR) to compare the explanatory power of environmental factors using the two sets of indices. The spearman rank correlation analysis was conducted to examine the correlation between indices and environmental factors. The river health assessment was performed based on both modified and original indices. The results reveal significant differences between original and modified indices (especially H ' and BI) providing a more accurate reflection of environmental conditions. Furthermore, the sensitivity of the different indices to various environmental factors varied, leading to differences in the bioassessment results between the modified and the original indices. Notably, original H ', BMWP, and ASPT overestimated the bioassessment results, whereas the original BI underestimated them. These findings offer valuable insights into bioassessment and river health assessment evaluation within the catchment and other interconnected freshwater ecosystems, such as lakes, reservoirs, and wetlands. Our study underscores the importance of assessing and mitigating the impact of dispersal processes on bioassessment to obtain a more precise representation of the status of freshwater ecosystems.