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中国河南省10座水库大型底栖动物群落特征及生态系统健康评价

Community characteristics of macrobenthos and ecosystem health assessment in ten reservoirs of Henan Province, China.

作者信息

Zhao Jiannan, Gao Yunni, Zhang Jingxiao, Li Yongli, Gao Xiaofei, Yuan Huatao, Dong Jing, Li Xuejun

机构信息

College of Fisheries, Henan Normal University, Xinxiang, 453007, Henan, China.

Observation and Research Station On Water Ecosystem in Danjiangkou Reservoir of Henan Province, Nanyang, 474450, Henan, China.

出版信息

Sci Rep. 2024 Dec 28;14(1):31531. doi: 10.1038/s41598-024-83236-3.

DOI:10.1038/s41598-024-83236-3
PMID:39732952
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11682443/
Abstract

Assessing the eco-health of regional reservoirs is essential for sustainable water resource utilization and water security, particularly in water-scarce areas. This study constructed a Benthic Index of Biotic Integrity (B-IBI) based on the community characteristics of macrobenthos in ten large and medium-sized reservoirs across four major river basins in Henan Province, China. A total of 90 taxa were identified, representing 3 phyla, 6 classes, 17 orders, 45 families and 81 genera. The B-IBI was derived from five key metrics: the number of crustacean and mollusca taxa, Intolerant %, the BI index, the BMWP index, and the Shannon-Wiener index. The B-IBI scores across 44 sites in the ten reservoirs ranged from 0.35 to 3.99. The assessment classified two reservoirs (QTH and HKC in the Yellow River basin) as poor, whereas one reservoir (QP in the Huai River sbasin) was classified as excellent. The B-IBI index effectively distinguished impaired sites from reference sites, supporting its suitability for eco-health assessments of reservoirs in Henan Province.

摘要

评估区域水库的生态健康状况对于水资源的可持续利用和水安全至关重要,特别是在水资源匮乏地区。本研究基于中国河南省四大流域十个大中型水库大型底栖动物的群落特征构建了底栖生物完整性指数(B-IBI)。共鉴定出90个分类单元,分属于3个门、6个纲、17个目、45个科和81个属。B-IBI源自五个关键指标:甲壳类和软体动物分类单元数量、不耐受百分比、BI指数、BMWP指数和香农-威纳指数。十个水库44个站点的B-IBI得分在0.35至3.99之间。评估将两个水库(黄河流域的QTH和HKC)归类为差,而一个水库(淮河流域的QP)归类为优。B-IBI指数有效地将受损站点与参考站点区分开来,表明其适用于河南省水库的生态健康评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a91/11682443/592fd340fb69/41598_2024_83236_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a91/11682443/34a6e3dec718/41598_2024_83236_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a91/11682443/3942750df4bc/41598_2024_83236_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a91/11682443/592fd340fb69/41598_2024_83236_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a91/11682443/34a6e3dec718/41598_2024_83236_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a91/11682443/3942750df4bc/41598_2024_83236_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a91/11682443/592fd340fb69/41598_2024_83236_Fig5_HTML.jpg

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Comparison of different macroinvertebrates bioassessment indices in a large near-natural watershed under the context of metacommunity theory.在集合群落理论背景下,大型近自然流域中不同大型无脊椎动物生物评估指标的比较
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Development of lake macroinvertebrate-based multimetric index for monitoring ecological health in North Central Nigeria.
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Benthic macroinvertebrate assemblages in relation to high ammonia loading: A 5-year fertilization experiment in 5 subtropical ponds.底栖大型无脊椎动物组合与高氨负荷的关系:5 个亚热带池塘 5 年施肥实验。
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