ArticleEcology and evolution2024
Comparison of different macroinvertebrates bioassessment indices in a large near-natural watershed under the context of metacommunity theory.
Article in Ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- From indicators to governance: a pressure-condition-response framework reveals nonlinear ecological responses to multiple stressors in an agricultural-urban basin.Environmental monitoring and assessment · 2026Article
- Incorporating community assembly mechanisms in biotic indices improves index performance.Ecological applications : a publication of the Ecological Society of America · 2026Article
- Environmental Filtering Maintains Macroinvertebrate Diversity in the Upper Jinsha River.Ecology and evolution · 2025Article
- Community characteristics of macrobenthos and ecosystem health assessment in ten reservoirs of Henan Province, China.Scientific reports · 2024Article
- Different facets of alpha and beta diversity of benthic diatoms along stream watercourse in a large near-natural catchment.Ecology and evolution · 2024Article
- Comparison of different macroinvertebrates bioassessment indices in a large near-natural watershed under the context of metacommunity theory.Ecology and evolution · 2024Article
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10 authors.
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Abstract
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.
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