Prioritising fished stocks for monitoring and assessment: A decision analysis approach for diverse fisheries of limited commercial value

Fowler, AM; Hall, KC; Liggins, GW; Chick, RC

Prioritising fished stocks for monitoring and assessment: A decision analysis approach for diverse fisheries of limited commercial value

Fowler, AM Hall, KC Liggins, GW Chick, RC

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Ocean and Coastal Management, 2021, 199, pp. 105404
Issue Date:: 2021-01-01

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Field	Value	Language
dc.contributor.author	Fowler, AM
dc.contributor.author	Hall, KC
dc.contributor.author	Liggins, GW
dc.contributor.author	Chick, RC
dc.date.accessioned	2022-02-13T21:05:34Z
dc.date.available	2022-02-13T21:05:34Z
dc.date.issued	2021-01-01
dc.identifier.citation	Ocean and Coastal Management, 2021, 199, pp. 105404
dc.identifier.issn	0964-5691
dc.identifier.uri	http://hdl.handle.net/10453/154454
dc.description.abstract	Prioritising fished stocks for monitoring and assessment is a challenge for management of resource-limited fisheries. We developed a participatory multi-criteria decision analysis (MCDA) to prioritise 141 fished stocks in New South Wales (NSW), Australia, based on their importance to fisheries management. The approach aimed to: (1) structure the decision problem, (2) force consideration of management objectives at the stock level, (3) balance trade-offs generated by competing objectives, and (4) balance differences in the perceived importance of objectives among fisheries managers. Performance scores and criteria weightings for ten management objectives were elicited from two groups of managers (commercial and recreational), combined into a total performance value for each stock, and ordered to infer priority for assessment. Stocks with higher total performance values typically had an exploitation status of Overfished, Growth-overfished, or Uncertain and were subject to a catch quota, because these criteria were weighted highly by both management groups. However, total performance was more sensitive to differences in weightings between management groups than to variations in relative magnitude of weightings among criteria. The priority list of stocks will assist decisions regarding the optimal allocation of resources for fisheries research in NSW. This MCDA approach is adaptive and can incorporate changes in management priorities through time and additional ecosystem components.
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Ocean and Coastal Management
dc.relation.isbasedon	10.1016/j.ocecoaman.2020.105404
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	04 Earth Sciences, 05 Environmental Sciences, 16 Studies in Human Society
dc.subject.classification	Fisheries
dc.title	Prioritising fished stocks for monitoring and assessment: A decision analysis approach for diverse fisheries of limited commercial value
dc.type	Journal Article
utslib.citation.volume	199
utslib.for	04 Earth Sciences
utslib.for	05 Environmental Sciences
utslib.for	16 Studies in Human Society
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	closed_access	*
dc.date.updated	2022-02-13T21:05:32Z
pubs.publication-status	Published
pubs.volume	199

Abstract:

Prioritising fished stocks for monitoring and assessment is a challenge for management of resource-limited fisheries. We developed a participatory multi-criteria decision analysis (MCDA) to prioritise 141 fished stocks in New South Wales (NSW), Australia, based on their importance to fisheries management. The approach aimed to: (1) structure the decision problem, (2) force consideration of management objectives at the stock level, (3) balance trade-offs generated by competing objectives, and (4) balance differences in the perceived importance of objectives among fisheries managers. Performance scores and criteria weightings for ten management objectives were elicited from two groups of managers (commercial and recreational), combined into a total performance value for each stock, and ordered to infer priority for assessment. Stocks with higher total performance values typically had an exploitation status of Overfished, Growth-overfished, or Uncertain and were subject to a catch quota, because these criteria were weighted highly by both management groups. However, total performance was more sensitive to differences in weightings between management groups than to variations in relative magnitude of weightings among criteria. The priority list of stocks will assist decisions regarding the optimal allocation of resources for fisheries research in NSW. This MCDA approach is adaptive and can incorporate changes in management priorities through time and additional ecosystem components.

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http://hdl.handle.net/10453/154454