渔业风险框架模型(RBF)分析与实践——以海洋管理委员会为例  

Analysis and application of risk-based framework in fishery:A case study from Marine Stewardship Council

作　　者：邢坤 XING Kun(College of Marine Technology and Environment,Dalian Ocean University,Dalian Liaoning 116023,China)

机构地区：[1]大连海洋大学海洋科技与环境学院,辽宁大连116023

出　　处：《渔业信息与战略》2022年第3期175-182,共8页Fishery Information & Strategy

基　　金：国家自然科学基金资助项目(41006079)。

摘　　要：为评估有限数据渔业的绩效指标,海洋管理委员会(Marine stewardship council,MSC)进行渔业标准认证项目时采用风险框架模型(risk based framework,RBF)。RBF是一系列基于风险的预防性评估工具的总称,包括后果分析、生产力敏感性分析、后果空间分析和规模强度后果分析。RBF用于渔业活动对目标物种,主要和次要兼捕物,濒危种、受威胁与被保护物种,栖息地和生态系统的风险影响评估。系统地介绍了RBF四种评估工具的含义、使用条件和适用性,结果表明RBF提供了渔业活动对渔业生物和生态环境影响的有效评价工具,尤其适用于数据缺乏、尚未良好管理的和具有可持续发展潜力的小规模、中上层、无脊椎和发展中国家等渔业,也可为我国的渔业资源管理提供理论支持。The risk-based framework(RBF) is applicable to scoring pertinent performance indicator(PI) when insufficient information comes to the Marine Stewardship Council(MSC) fishery certification program.RBF is a set of precautionary methodologies used to assess the potential risks of data-limited fisheries,including consequence analysis(CA),productivity susceptibility analysis(PSA),consequence spatial analysis(CSA) and scale intensity consequence analysis(SICA).RBF is to assess the environmental risks of a certain fishery on target species,primary,secondary and ETP species,and habitats and ecosystems.The definitions,criteria and applications of all four methodologies are introduced systematically.Results show that RBF is an effective tool for evaluating biological and eco-environmental impacts by fishery activities,especially compatible to the data-limited,poorly managed and potentially sustainable small-scale,pelagic,invertebrate fishery and fisheries in developing countries,it can also provide theoretical support for the sound management of fishery resources in China.

关 键 词：海洋管理委员会 风险框架模型 有限数据渔业 风险评估 可持续发展 

分 类 号：S979[农业科学—捕捞与储运]