| 基于O/E模型的浅水湖泊生态系统健康评价 |
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| 引用本文： | 吴俊燕,和雅静,陈凯,金小伟,王洪铸,崔永德.基于O/E模型的浅水湖泊生态系统健康评价[J].中国环境监测,2022,38(1):27-35. |
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| 作者姓名： | 吴俊燕 和雅静 陈凯 金小伟 王洪铸 崔永德 |
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| 作者单位： | 中国科学院水生生物研究所, 淡水生态与生物技术国家重点实验室, 湖北 武汉 430072;中国科学院大学, 北京 100049;南京农业大学昆虫系昆虫分类与水生昆虫实验室, 江苏 南京 210095;中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012 |
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| 基金项目： | 水体污染控制与治理科技重大专项（2017ZX07302-002）；国家自然科学基金重大项目（52039006）；国家自然科学基金青年基金（31100407） |
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| 摘 要： | 以长江中下游阻隔型浅水湖泊为研究对象,分析了1998—2018年116湖次底栖动物野外调查数据,构建了基于预测模型的观测物种组成/期望物种组成(O/E)指数健康评价指标体系,评价了长江中下游浅水湖泊的底栖动物物种组成完整性.O/E指数模型评价结果显示,在物种采集概率(Pc)>0阈值条件下的O/E0模型预测得到的监测湖泊...
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| 关 键 词： | O/E指数 随机森林 大型底栖动物 生物评价 浅水湖泊 |
| 收稿时间： | 2021/7/25 0:00:00 |
| 修稿时间： | 2021/10/13 0:00:00 |
Ecosystem Health Assessment of Shallow Lakes Based on O/E Model |
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| WU Junyan,HE Yajing,CHEN Kai,JIN Xiaowei,WANG Hongzhu,CUI Yongde.Ecosystem Health Assessment of Shallow Lakes Based on O/E Model[J].Environmental Monitoring in China,2022,38(1):27-35. |
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| Authors: | WU Junyan HE Yajing CHEN Kai JIN Xiaowei WANG Hongzhu CUI Yongde |
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| Institution: | State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China;University of Chinese Academy of Sciences, Beijing 100049, China;Laboratory of Insect Taxonomy and Aquatic Insects, Department of Entomology, Nanjing Agricultural University, Nanjing 210095, China;State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Beijing 100012, China |
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| Abstract: | Taking the dis-connected shallow lakes along the mid-lower reaches of the Yangtze River as the research area,this paper analyzed 116 lake-times data about macrobenthos from 20 years(1998-2018)recently to construct the O/E index health evaluation index system based on the predictive model,and assessed the integrity of macrobenthos assemblages in dis-connected shallow lakes along the mid-lower Yangtze River Basin.The evaluation results of O/E index models showed that the expected taxa richness were higher in probabilities of capture(Pc)>0 than that in Pc≥0.5.Modeled O/E values in O/E0 and O/E50 were similar with that in null O/E model,but the bias(%RF Var)in null O/E models were higher than that in modeled O/E.The bias in O/E50 model was zero,thus O/E50 model would be the optimal model for lake assessment.The assessment results showed that the health condition in shallow lakes was fair.Only 20%lakes were in health condition,about 25%lakes were in poor condition.O/E index was significantly related to the eutrophication indicators,which indicted that it could reflect the change of the nutrient state of lakes.Our results indicated that O/E index could apply to health assessment in shallow lakes and provided a scientific basis for lake restoration and sustainable development. |
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| Keywords: | O/E index random forest macrobenthos bioassessment shallow lakes |
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