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Why ITQs on target species are inefficient at achieving ecosystem based fisheries management outcomes

Name: Why ITQs on target species are inefficient at achieving ecosystem based fisheries management outcomes
Creator: Gibbs, Mark
Keywords: Ecosystem based fisheries management, 0106 biological sciences, 570, fishing industry, 010604 marine biology & hydrobiology, sustainability, 01 natural sciences, Quotas, Fisheries management, fishery management

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 May 2010 Australia Publisher:Elsevier BVJournal:Marine Policy, volume 34, pages 708-709 (issn: 0308-597X,

Authors: Gibbs, Mark;

doi: 10.1016/j.marpol.2009.09.005

Why ITQs on target species are inefficient at achieving ecosystem based fisheries management outcomes

- Summary
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Abstract

The effectiveness of managing fisheries through the allocation of catch rights, including Individual Transferrable Quota's (ITQs), has been the subject of a number of recent reviews. Inspection of these reviews suggests that the effectiveness of ITQ and similar catch rights schemes in meeting single species sustainability objectives differs from their effectiveness in meeting broader Ecosystem Based Fisheries Management objectives, especially in terms of managing effects on associated and dependent species and habitats. This should not be a surprise, given the attributes of rights-based neoliberal market policy instruments, as discussed here.

Country

Australia

Related Organizations

CSIRO Ocean and Atmosphere
Australia
CSIRO Marine and Atmospheric Research
Australia
Queensland University of Technology
Australia
Commonwealth Scientific and Industrial Research Organisation
Australia
CSIRO Marine and Atmospheric Research
Australia

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Keywords

Ecosystem based fisheries management, 570, fishing industry, sustainability, Quotas, Fisheries management, fishery management, ITQ, catch statistics, Catch rights, fishery policy, stock assessment, EBFM

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	21
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%