鱼类多样性监测的理论方法及中国内陆水体鱼类多样性监测  

Theory and methods on fish diversity monitoring with an introduction to the inland water fish diversity observation in China

作　　者：刘焕章[1] 杨君兴[2] 刘淑伟[2] 高欣[1] 陈宇顺[1] 张春光[3] 赵凯[4] 李新辉[5] 刘伟[6] 

机构地区：[1]中国科学院水生生物研究所,武汉430072 [2]中国科学院昆明动物研究所,昆明650223 [3]中国科学院动物研究所,北京100101 [4]中国科学院西北高原生物研究所,西宁810008 [5]中国水产科学研究院珠江水产研究所,广州510380 [6]中国水产科学研究院黑龙江水产研究所,哈尔滨150076

出　　处：《生物多样性》2016年第11期1227-1233,共7页Biodiversity Science

基　　金：基金项目:中国生物多样性监测与研究网络(Sino BON);长江三峡生态与环境监测系统(JJ[2015]-042)

摘　　要：近年来,生物多样性监测网络的建设得到广泛重视,全球、地区或国家生物多样性观测网不断组建。生物多样性观测的理论框架得到发展,提出了生物多样性核心监测指标(Essential Biodiversity Variables,EBV)。鱼类多样性监测的理论框架包含于生物多样性核心监测指标之内,在遗传、物种、生态系统等多层次进行。基于鱼类监测提出的生物完整性指数(index of biotic integrity,IBI)强调不同物种的生态功能,可以综合反映群落结构和功能的变化,得到广泛应用。鱼类多样性的监测方法是传统网具和现代水声学等方法的结合。监测结果的分析可以进行简单的指数比较,也可以进行长期的趋势分析,寻找关键节点,探讨宏观生态格局的变化。中国内陆水体鱼类多样性监测网隶属于中国生物多样性监测与研究网络,拟选取长江、黄河、黑龙江、珠江、澜沧江、怒江、塔里木河及青海湖8大流域,对25个重要区域和24个重点物种(类群)进行监测,从重要区域鱼类群落结构、重点物种(类群)种群动态和个体生物学特征、遗传多样性、早期资源等不同层次,全面监测我国内陆水体鱼类生物多样性状况。In recent years, the establishment of biodiversity observation networks （BON） has been of great concern. The global scale GEO-BON （Global Earth Observation--Biodiversity Observation Network）, re- gional EBONE （European Biodiversity Observation Network） and AP BON （Asia-Pacific BON）, and local networks such as the J-BON （Japanese BON） and French BON have been successfifl. The introduction of Essential Biodiversity Variables （EBV） has laid a theoretical foundation for biodiversity observations. The fish biodiversity observation theory is embedded in the EBV, and includes work at the genetic, species, and ecosystem levels. Originally designed for fish monitoring, the index of biotic integrity （IBI） has become the most popular index, and emphasizes the identification of different ecological functional groups, which can reflect changes in community structure and function. Fish diversity survey methods include both traditional nets and modern instruments such as a hydroacoustic sonar system. Analysis of monitoring data can be com- pleted as simple comparisons of various indices, modeling long term trends to identify change-points, and exploring ecological regime shifts. As a part of the Chinese Biodiversity Monitoring and Research Network （Sino BON）--Inland Water Fish is designed to conduct fish monitoring work in 8 major drainage basins in China including the Yangtze River, the Yellow River, the Heilongjiang River, the Zhujiang River, the Lan- cang River, the Nujiang （Salween） River, the Tarim River, and the Qinhaihu Lake. A total of 25 focused areas and 24 targeted species （groups） have been selected as monitoring variables including community structure, genetic diversity, and fish early resources. sampling sites and crucial indicators, respectively, and population structure and dynamics, biological traits,

关 键 词：内陆水体鱼类 监测网络 物种多样性 生物学特征 

分 类 号：Q958.8[生物学—动物学]