Searching for a compromise between biological and economic demands to protect vulnerable habitats

Scientific Reports
M Grazia PenninoU Rashid Sumaila

Abstract

Identifying vulnerable habitats is necessary to designing and prioritizing efficient marine protected areas (MPAs) to sustain the renewal of living marine resources. However, vulnerable habitats rarely become MPAs due to conflicting interests such as fishing. We propose a spatial framework to help researchers and managers determine optimal conservation areas in a multi-species fishery, while also considering the economic relevance these species may have in a given society, even in data poor situations. We first set different ecological criteria (i.e. species resilience, vulnerability and trophic level) to identify optimal areas for conservation and restoration efforts, which was based on a traditional conservationist approach. We then identified the most economically relevant sites, where the bulk of fishery profits come from. We overlapped the ecologically and economically relevant areas using different thresholds. By ranking the level of overlap between the sites, representing different levels of conflicts between traditional conservation and fishing interests, we suggest alternatives that could increase fishers' acceptance of protected areas. The introduction of some flexibility in the way conservation targets are establishe...Continue Reading

References

Feb 7, 2004·Nature·Peter J MumbyGhislane Llewellyn
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Sep 10, 2010·Conservation Biology : the Journal of the Society for Conservation Biology·Brett Anthony BryanDarran King
Jul 19, 2012·PloS One·Ussif Rashid SumailaDirk Zeller
Mar 27, 2013·Proceedings of the National Academy of Sciences of the United States of America·Benjamin S HalpernHugh P Possingham
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Sep 15, 2015·Nature Communications·Maria BegerHugh P Possingham
Apr 30, 2017·Ecological Applications : a Publication of the Ecological Society of America·Ronen GalaidukEuan S Harvey

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Citations

Nov 24, 2020·Journal of Environmental Management·José Gilmar Cavalcante de Oliveira JúniorVandick da Silva Batista

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Software Mentioned

Fuzzy Expert System
dismo package
R

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