Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Registro completo
Provedor de dados:  ArchiMer
País:  France
Título:  Mangrove increases resiliency of the French Guiana shrimp fishery facing global warming
Autores:  Diop, Bassirou
Blanchard, Fabian
Sanz, Nicolas
Data:  2018-11
Ano:  2018
Palavras-chave:  Renewable resources
Fishery bio-economic model
Global warming
Shrimp
Sea surface temperature
Mangrove
Resumo:  This paper deals with the biological, ecological and economic impact of global warming and mangrove habitat availability on the French Guiana shrimp fishery. A dynamic bio-economic model is built by employing a shrimp stock's growth function depending on Sea Surface Temperature (SST) and on mangrove surface. The model is empirically calibrated for the French Guiana shrimp fishery using time series collected over 1995–2011. First, two Cobb-Douglas functions, which describe shrimp's natural growth and harvest, are estimated. Then, a Maximum Economic Yield (MEY) harvest rule, based on the optimization of the net present value derived from fishing, is computed. Three management strategies are compared (Closure, Status Quo management, and MEY) under three mangrove surface fluctuations and climatic scenarios: (a) SST and mangrove remain stable, (b) SST rises while mangrove declines, (c) SST rises and mangrove remains stable. The scenarios considering a SST rise are based on the median greenhouse gases emission projections estimated by the IPCC (Intergovernmental Panel on Climate Change). The scenario focused on the reduction of mangrove surface is based on a general rate calculated on a global level. Our study shows that preserving the mangrove will increase the resiliency of French Guiana shrimp fishery in the long run.
Tipo:  Text
Idioma:  Inglês
Identificador:  https://archimer.ifremer.fr/doc/00455/56672/58537.pdf

DOI:10.1016/j.ecolmodel.2018.08.014

https://archimer.ifremer.fr/doc/00455/56672/
Editor:  Elsevier Science Bv
Formato:  application/pdf
Fonte:  Ecological Modelling (0304-3800) (Elsevier Science Bv), 2018-11 , Vol. 387 , P. 27-37
Direitos:  2018 Elsevier B.V. All rights reserved

info:eu-repo/semantics/openAccess

restricted use
Fechar
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional