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Journal Article

Fisheries management scenarios: trade‐offs between economic and biological objectives

C. D. Maravelias; M. Pantazi; F. Maynou
Fisheries Management and Ecology · Vol. 21, Issue 3 · pp. 186-195 · 2014

Abstract

An age‐structured, population biology submodel and an economic submodel with vessel‐specific dynamics were applied to a demersal fishery in the N orth A egean ( NE M editerranean) that consists of three main stocks: European hake M erluccius merluccius ( L .), red mullet M ullus barbatus L . and striped red mullet M ullus surmuletus L . The Mefisto model is a bioeconomic simulation model through which the biological and economic submodels (disaggregated at the vessel level) are linked by means of a fishing mortality vector. Alternative management scenarios were built and tested based on input controls, and the performance of these strategies was examined against those of current policies. Three alternative management strategies were as follows: (1) reducing the coastal fisheries' fleet units; (2) limiting the effort level (days at sea) of the trawl fleets; and (3) changing the selectivity patterns of the trawl by increasing mesh size. The results show that for all three species, any of the three management measures (input controls) would be beneficial to both the stock and the fleets (over the medium and long terms) compared with the projections over time for the status quo . Improving the selectivity of the fishing gear proved to be more beneficial than limiting nominal effort, which was in turn more beneficial than decreasing coastal fleet size.

Bibliographic Information

JournalFisheries Management and Ecology
PublisherWiley
Publication Date2014-06-01
Publication Year2014
Volume21
Issue3
Pages186-195
Document TypeJournal Article
Print ISSN0969-997X
eISSN1365-2400
DOI10.1111/fme.12060
SubjectGeneral Aquaculture, Fisheries & Fish Science

Access Information

NARA Access Coverage1997-01-01~Current
Journal Homepagehttps://onlinelibrary.wiley.com/loi/13652400
Publisher PageOpen Publisher Page
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