{"title":"水生态健康评价中多群落生物完整性指数的建立——以中国东部山区流域为例","authors":"Zifan Zhao , Lifang Zhu , Wei Zheng , Jianjun Jiang , Yuhui Wang , Liheng Xu","doi":"10.1016/j.ecolind.2025.113737","DOIUrl":null,"url":null,"abstract":"<div><div>The evaluation of water ecological health provides a scientific foundation for water resource management, ecological protection, and restoration in river basins. The index of biological integrity (IBI) is a popular method, but a single-community IBIs may not fully reflect aquatic ecosystem health. In this study, a multicommunity index of biological integrity (Mc-IBI) was proposed as an indicator for aquatic ecosystem health assessment at the regional watershed scale. Mc-IBI was established based on benthos, phytoplankton, zooplankton, and epiphytic algae collected from 44 sampling sites in a mountainous small watershed in central Hangzhou (Zhejiang Province, China). A candidate indicator pool comprising 137 potential indicators was constructed on the basis of the distribution characteristics of the biological communities. Through distribution range analysis, discriminability testing, and redundancy testing, 17 core indicators, including benthic taxa, copepod taxa, and<!--> <!-->the Simpson index, were selected. The weight of each biological community at each sampling point was determined using the low-dimensional space obtained after dimensionality reduction with the t-SNE method, and the final Mc-IBI values were derived by assigning scores based on these weights. The ecological health of the small mountainous watershed, evaluated via the Mc-IBI, was classified as “good” (63.58 ± 8.52). Comparing with the individual IBIs, the Mc-IBI integrates multiple biological communities to enable a more comprehensive evaluation of aquatic ecosystem health at the regional watershed scale.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"176 ","pages":"Article 113737"},"PeriodicalIF":7.0000,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of a multicommunity index of biotic integrity for ecological health assessments of water—A case study of a mountain watershed in eastern China\",\"authors\":\"Zifan Zhao , Lifang Zhu , Wei Zheng , Jianjun Jiang , Yuhui Wang , Liheng Xu\",\"doi\":\"10.1016/j.ecolind.2025.113737\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The evaluation of water ecological health provides a scientific foundation for water resource management, ecological protection, and restoration in river basins. The index of biological integrity (IBI) is a popular method, but a single-community IBIs may not fully reflect aquatic ecosystem health. In this study, a multicommunity index of biological integrity (Mc-IBI) was proposed as an indicator for aquatic ecosystem health assessment at the regional watershed scale. Mc-IBI was established based on benthos, phytoplankton, zooplankton, and epiphytic algae collected from 44 sampling sites in a mountainous small watershed in central Hangzhou (Zhejiang Province, China). A candidate indicator pool comprising 137 potential indicators was constructed on the basis of the distribution characteristics of the biological communities. Through distribution range analysis, discriminability testing, and redundancy testing, 17 core indicators, including benthic taxa, copepod taxa, and<!--> <!-->the Simpson index, were selected. The weight of each biological community at each sampling point was determined using the low-dimensional space obtained after dimensionality reduction with the t-SNE method, and the final Mc-IBI values were derived by assigning scores based on these weights. The ecological health of the small mountainous watershed, evaluated via the Mc-IBI, was classified as “good” (63.58 ± 8.52). Comparing with the individual IBIs, the Mc-IBI integrates multiple biological communities to enable a more comprehensive evaluation of aquatic ecosystem health at the regional watershed scale.</div></div>\",\"PeriodicalId\":11459,\"journal\":{\"name\":\"Ecological Indicators\",\"volume\":\"176 \",\"pages\":\"Article 113737\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2025-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Indicators\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1470160X25006673\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X25006673","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Development of a multicommunity index of biotic integrity for ecological health assessments of water—A case study of a mountain watershed in eastern China
The evaluation of water ecological health provides a scientific foundation for water resource management, ecological protection, and restoration in river basins. The index of biological integrity (IBI) is a popular method, but a single-community IBIs may not fully reflect aquatic ecosystem health. In this study, a multicommunity index of biological integrity (Mc-IBI) was proposed as an indicator for aquatic ecosystem health assessment at the regional watershed scale. Mc-IBI was established based on benthos, phytoplankton, zooplankton, and epiphytic algae collected from 44 sampling sites in a mountainous small watershed in central Hangzhou (Zhejiang Province, China). A candidate indicator pool comprising 137 potential indicators was constructed on the basis of the distribution characteristics of the biological communities. Through distribution range analysis, discriminability testing, and redundancy testing, 17 core indicators, including benthic taxa, copepod taxa, and the Simpson index, were selected. The weight of each biological community at each sampling point was determined using the low-dimensional space obtained after dimensionality reduction with the t-SNE method, and the final Mc-IBI values were derived by assigning scores based on these weights. The ecological health of the small mountainous watershed, evaluated via the Mc-IBI, was classified as “good” (63.58 ± 8.52). Comparing with the individual IBIs, the Mc-IBI integrates multiple biological communities to enable a more comprehensive evaluation of aquatic ecosystem health at the regional watershed scale.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.