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Resilience to change in two coastal communities: Using the maximum dexterity fleet
Authors:Tony J Pitcher  Cameron H Ainsworth
Institution:1. Fisheries Centre, 2202 Main Mall, University of British Columbia, Vancouver BC, Canada V6T 1Z4;2. Northwest Fisheries Science Center, 2725 Montlake Blvd. E., Seattle, WA 98112, USA
Abstract:Using whole-ecosystem dynamic simulation models fitted to local data, two coastal communities are described (temperate, northern British Columbia, Canada; tropical, Raja Ampat, Indonesia) where relatively poor fishers’ livelihoods are threatened by climate change and overfishing. A novel theoretical minimum bycatch scenario, the ‘maximum dexterity fleet’, is combined with a search algorithm specifying optimal fisheries to achieve economic and biodiversity goals. Potential gains made by approaching an optimal fleet configuration prove robust against increased risks from climate variability. Although fish, gear and way of life differ greatly, in both communities it is suggested that dexterity (adroitness in adapting fishing gear) could lead to improved benefits from fishing.
Keywords:Dexterity  Maximum dexterity fleet  Resilience  Ecosystem simulation modeling  Ecosystem-based management  Poverty
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