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Ecosystem-based fisheries management requires broader performance indicators for the human dimension
CSIRO Oceans and Atmosphere, Australia; University of Tasmania, Australia.
CSIRO Oceans and Atmosphere, Australia; University of Tasmania, Australia.
CSIRO Oceans and Atmosphere, Australia; University of Tasmania, Australia.
CSIRO Oceans and Atmosphere, Australia; University of Tasmania, Australia.
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2019 (English)In: Marine Policy, ISSN 0308-597X, E-ISSN 1872-9460, Vol. 108, article id 103639Article in journal (Refereed) Published
Abstract [en]

Ecosystem-based fisheries management (EBFM) is a globally mandated approach with the intention to jointly address ecological and human (social-cultural, economic and institutional) dimensions. Indicators to measure performance against objectives have been suggested, tested, and refined but with a strong bias towards ecological indicators. In this paper, current use and application of indicators related to the human dimension in EBFM research and ecosystem models are analysed. It is found that compared to ecological counterparts, few indicators related to the human dimension are commonly associated with EBFM, and they mainly report on economic objectives related to fisheries. Similarly, in the most common ecosystem models, economic indicators are the most frequently used related to the human dimension, both in terms of model outputs and inputs. The prospect is small that indicators mainly related to profitable fishing economy are able to report on meeting the broad range of EBFM objectives and to successfully evaluate progress in achieving EBFM goals. To fully conform with EBFM principles, it is necessary to recognise that ecological and human indicators are inter-dependent. Moreover, the end-to-end ecosystem models used in EBFM will need to be further developed to allow a fuller spectrum of social-cultural, institutional, and economic objectives to be reported against.

Place, publisher, year, edition, pages
Elsevier Ltd , 2019. Vol. 108, article id 103639
Keywords [en]
Economic, Ecosystem models, Ecosystem-based fisheries management, Indicators, Institutional, Social-cultural
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-39916DOI: 10.1016/j.marpol.2019.103639Scopus ID: 2-s2.0-85071418867OAI: oai:DiVA.org:ri-39916DiVA, id: diva2:1355395
Note

; Funding details: Svenska Forskningsrådet Formas, 2016-00455; Funding text 1: The authors want to thank two anonymous reviewers who provided valuable comments that greatly improved an earlier version of this manuscript. This work was supported by the Swedish Research Council Formas [grant number 2016-00455 ] and the Lenfest Oceans Program. Appendix A

Available from: 2019-09-27 Created: 2019-09-27 Last updated: 2019-09-27Bibliographically approved

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  • apa
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