Using ecological indicators in the context of an ecosystem approach to fisheries for data-limited fisheries
文献类型: 外文期刊
作者: Ye, Yimin 1 ; Cochrane, Kevern 1 ; Qiu, Yongsong 2 ;
作者机构: 1.Food & Agr Org United Nat, Div Fisheries & Aquaculture Resources Use & Conse, I-00153 Rome, Italy
2.Chinese Acad Fishery Sci, S China Sea Fisheries Res Inst, Guangzhou 510300, Guangdong, Peoples R China
关键词: Ecological indicators;Ecosystem approach to fisheries;Management procedures;Data-poor fisheries;Management strategy evaluation
期刊名称:FISHERIES RESEARCH ( 影响因子:2.422; 五年影响因子:2.594 )
ISSN:
年卷期:
页码:
收录情况: SCI
摘要: The tenets of ecosystem approach to fisheries (EAF) now occupy centre stage in our efforts to maintain the sustainability of fisheries and rebuild marine ecosystems. The paper discusses how an EAF can be adopted for data limited fisheries and uses the northern South China Sea fishery as an example to demonstrate the selection and use of indicators for determining the states of the fishery and its relevant ecosystem to provide advice on management. Implementing EAF management requires indicators and models that address the impact of fishing across entire ecological communities and determine management actions to be taken to achieve the preset objectives according to decision rules. Data limited fisheries necessarily have limited resources for data collection and scientific studies and therefore could not support complex models. To overcome the data limitation and absence of modelling support, simple indicators have to be, used to assess the current state and monitor changes of the fishery and its ecosystem. Such indicators should: (1) be observable and understandable by all stakeholders, (2) be based on easily obtainable and reliable data, (3) adequately reflect the condition of the resource, and (4) have associated reference values and responsive management measures. The paper also reviews the recent development and use of indicators and harvest strategies in both conventional and EAF management to better understand the differences and to shed light on the challenges of EAF, in particular for data limited fisheries. (C) 2011 Elsevier B.V. All rights reserved.
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