An indicator-based adaptive management framework and its development for data-limited fisheries in Belize

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• 作者：Gavin McDonald^a ; ¹ ; ^{gmcdonald@bren.ucsb.edu} ; Bill Harford^b ; ^{wharford@rsmas.miami.edu} ; Alejandro Arrivillaga^c ; ^{ebabcock@rsmas.miami.edu} ; Elizabeth A. Babcock^b ; ^{aarrivillaga@rare.org} ; Ramon Carcamo^d ; ^{ramalive@yahoo.com} ; James Foley^e ; ^{jfoley@tidebelize.org} ; Rod Fujita^f ; ^{rfujita@edf.org} ; Todd Gedamke^g ; ^{kkarr@edf.org} ; Janet Gibson^h ; ^{todd@merconsultants.org} ; Kendra Karr^f ; ^{jgibson@btl.net} ; Julie Robinsonⁱ ; ^{jrobinson@tnc.org} ; Jono Wilson^j ; ^{Jono_Wilson@tnc.org}
• 关键词：Data-limited fisheries ; Adaptive management ; Model-free indicators ; Decision-support frameworks
• 刊名：Marine Policy
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：76
• 期：Complete
• 页码：28-37
• 全文大小：422 K
• 卷排序：76

文摘

Multiple indicators are used to corroborate interpretation of fishery performance. Design and implementation of the framework centers around stakeholder engagement. The framework is flexible to accommodate different data types and capacity for data analysis. An adaptive management framework was designed for Belize's conch and lobster fisheries.