An adaptable toolkit to assess commercial fishery costs and benefits related to marine protected area network design

Type Article
Date 2017
Language English
Author(s) Daigle Rémi M.1, Monaco CristianORCID2, Elgin Ashley K.3
Affiliation(s) 1 : Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, M5S 3B2, Canada
2 : Department of Zoology and Entomology, Rhodes University, Grahamstown, 6140, South Africa
3 : National Oceanic and Atmospheric Administration, Great Lakes Environmental Research Laboratory, Muskegon, Michigan, 49441, USA
Source F1000Research (2046-1402) (F1000 Research Ltd), 2017 , Vol. 4 , P. 1234 (21p.)
DOI 10.12688/f1000research.7312.2
Keyword(s) Cost-benefit analysis, Atlantic Cod, individual based models, Conservation, Fisheries management

Around the world, governments are establishing Marine Protected Area (MPA) networks to meet their commitments to the United Nations Convention on Biological Diversity. MPAs are often used in an effort to conserve biodiversity and manage fisheries stocks. However, their efficacy and effect on fisheries yields remain unclear. We conducted a case-study on the economic impact of different MPA network design strategies on the Atlantic cod (Gadus morhua) fisheries in Canada. The open-source R package that we developed to analyze this case study can be customized to conduct similar analyses for other systems. We used a spatially-explicit individual-based model of population growth and dispersal coupled with a fisheries management and harvesting component. We found that MPA networks that both protect the target species’ habitat and were spatially optimized to improve population connectivity had the highest net present value (i.e., were most profitable for the fishing industry). These higher profits were achieved primarily by reducing the distance travelled for fishing and reducing the probability of a moratorium event. These findings add to a growing body of knowledge demonstrating the importance of incorporating population connectivity in the MPA planning process, as well as the ability of this R package to explore ecological and economic consequences of alternative MPA network designs.

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