Liu Guohao, Qi Xinxin, Lin Zongwei, Lv Yuanyuan, Khan Sangar, Qu Xiaodong, Jin Binsong, Wu Ming, Oduro Collins, Wu Naicheng
Department of Geography and Spatial Information Techniques Ningbo University Ningbo China.
Zhejiang Collaborative Innovation Center & Ningbo Universities Collaborative Innovation Center for Land and Marine Spatial Utilization and Governance Research Ningbo University Ningbo China.
Ecol Evol. 2024 Feb 5;14(2):e10896. doi: 10.1002/ece3.10896. eCollection 2024 Feb.
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.
集合群落理论认为，群落结构和生物多样性受到当地过程（如环境过滤）和区域过程（如扩散）的影响。尽管基于物种 - 环境关系的传统生物评估被广泛使用，但扩散过程对这些评估的影响在很大程度上被忽视了。本研究旨在比较各种生物评估指数之间的相关性，这些指数包括香农 - 韦纳指数（H'）、生物监测工作组指数（BMWP）、每个分类单元的平均得分（ASPT）、生物指数（BI）和EPT分类单元指数（EPT），这些指数基于从中国亚热带近自然流域的147个采样点收集的大型无脊椎动物。通过去除受扩散过程强烈影响的物种来计算修正指数，以解决扩散过程的影响。然后将它们与环境因素的关系与原始指数进行比较。该研究采用随机森林回归（RFR）来比较两组指数对环境因素的解释力。进行斯皮尔曼等级相关分析以检验指数与环境因素之间的相关性。基于修正指数和原始指数进行河流健康评估。结果表明原始指数和修正指数之间存在显著差异（特别是H'和BI），修正指数能更准确地反映环境状况。此外，不同指数对各种环境因素的敏感性不同，导致修正指数和原始指数的生物评估结果存在差异。值得注意的是，原始的H'、BMWP和ASPT高估了生物评估结果，而原始的BI则低估了它们。这些发现为该流域以及其他相互关联的淡水生态系统（如湖泊、水库和湿地）内的生物评估和河流健康评估提供了有价值的见解。我们的研究强调了评估和减轻扩散过程对生物评估的影响以更精确地反映淡水生态系统状况的重要性。
