Marine Science Faculty Publications
Resilience to Change in Two Coastal Communities: Using the Maximum Dexterity Fleet
Document Type
Article
Publication Date
2010
Keywords
Dexterity, Maximum dexterity fleet, Resilience, Ecosystem simulation modeling, Ecosystem-based management, Poverty
Digital Object Identifier (DOI)
https://doi.org/10.1016/j.marpol.2010.01.022
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.
Was this content written or created while at USF?
No
Citation / Publisher Attribution
Marine Policy, v. 34, issue 4, p. 810-814
Scholar Commons Citation
Pitcher, Tony J. and Ainsworth, Cameron H., "Resilience to Change in Two Coastal Communities: Using the Maximum Dexterity Fleet" (2010). Marine Science Faculty Publications. 1840.
https://digitalcommons.usf.edu/msc_facpub/1840
