0000000000845420

AUTHOR

Adriana Rosa Carvalho

showing 2 related works from this author

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

2018

AbstractIdentifying 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 bas…

0106 biological sciencesNature reserveMarine conservationFlexibility (engineering)Multidisciplinary010604 marine biology & hydrobiologylcsh:RFishingVulnerabilitylcsh:MedicineSede Central IEO15. Life on land010603 evolutionary biology01 natural sciencesArticle/dk/atira/pure/sustainabledevelopmentgoals/life_below_waterHabitatlcsh:QMarine protected areaSDG 14 - Life Below Water14. Life underwaterBusinesslcsh:ScienceResilience (network)Environmental planningScientific Reports
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Small-scale shrimp fisheries bycatch: a multi-criteria approach for data-poor situations

2020

Abstract Bycatch and discards from small-scale fisheries (SSF) are usually ignored when compared with industrial fisheries, not only by policy-makers, but also by scientists. Therefore, SSF social, economic and ecological impacts are poorly known and especially in the context of incidental catches, regardless of whether they become bycatch or discards. Such neglect is worrisome due to the role that SSF play in food security and poverty alleviation, particularly in coastal and rural communities in developing countries. In this study, a combination of sampling data and the fishers' behavior (specifically the basis of their decision on where to fish) were used. Bayesian models were applied to …

0106 biological sciencesEconomics and EconometricsFishingFishers' behaviorContext (language use)Management Monitoring Policy and LawAquatic Science01 natural sciencesCentro Oceanográfico de MurciaPesqueríasBayesian modelsGeneral Environmental ScienceFood security010604 marine biology & hydrobiologyShrimp fisherySubsistence agriculture04 agricultural and veterinary sciencesLivelihoodDiscardsBycatchFisheryGeographyEconomic incentives040102 fisheries0401 agriculture forestry and fisheriesLaw
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