Éditeur(s) : HAL CCSD
Résumé : This paper studies the biological and economic effects of globalwarming on the French Guiana shrimp …fishery. The sea surface tem-perature is explicitly introduced into four natural growth functions,among which the Cobb-Douglas function best adjusts the availabledata. Besides, a Cobb-Douglas harvest function is also estimated, in-dicating that shrimp production in French Guiana is highly sensitive tothe shrimp stock, which implies that global warming may have strongeconomic implications. We …nally consider a centralized resource man-agement of the French Guiana shrimp …shery, that is undertaken invarious trend scenarios concerning the sea surface temperature. Un-der the most plausible scenario, in which the sea surface temperaturefollows the trend of the last decades, pro…ts and biomass respectivelydecrease and collapse around the end of the 2020’s.
https://hal.univ-antilles.fr/hal-01243305

hal-01243305
https://hal.univ-antilles.fr/hal-01243305
https://hal.univ-antilles.fr/hal-01243305/document
https://hal.univ-antilles.fr/hal-01243305/file/Diop%20et%20al.%20%282015%29.pdf

Droits : info:eu-repo/semantics/openAccess
http://archimer.ifremer.fr/doc/00075/18582/16134.pdf
http://archimer.ifremer.fr/doc/00075/18582/

Éditeur(s) : Springer
Résumé : Terrestrial and marine biodiversity provides the basis for both ecosystems functioning and numerous commodities or services that underpin human well-being. From several decades, alarming trends have been reported worldwide for both biodiversity and ecosystem services. Therefore the sustainable management of biodiversity requires a double viewpoint balancing ecological conservation with the welfare of human societies. Understanding the underlying trade-offs, synergies and interactions imposes the development of interdisciplinary researches and methods. In that respect, bio-economic or ecological economic modeling is likely to play a major role. The present paper intends to elicit the key features, strengths and challenges of bio-economic approaches especially in mathematical and computational terms. It first recall the main bio-economic methods, models and decisional instruments used in these types of analyses. Then the paper shows to what extent bio-economic sustainability lies between equilibrium, viability and optimality mathematical frameworks. It ends up by identifying new major challenges among which the operationalization of ecosystem based management, the precautionary principle and the implementation of governance are especially important. Computational Management Science Computational Management Science Look Inside
Computational Management Science (1619-697X) (Springer), 2013-12 , Vol. 10 , N. 4 , P. 353-364

Droits : Springer-Verlag Berlin Heidelberg 2013
http://archimer.ifremer.fr/doc/00171/28208/26510.pdf
DOI:10.1007/s10287-013-0194-2
http://archimer.ifremer.fr/doc/00171/28208/

Éditeur(s) : Elsevier Science Bv
Résumé : Academia and management agencies show a growing interest for ecosystem-based fishery management (EBFM). However, the way to operationalize this approach remains challenging. The present paper illustrates how the concepts of stochastic co-viability, which accounts for dynamic complexities, uncertainties, risk and sustainability constraints, can be useful for the implementation of EBFM. In the present case, this concept is used to identify fishing strategies that satisfy both ecological conservation and economic sustainability in a multi-species, multi-fleet context. Economic Viability Analysis (EVA) and the broader Co-Viability Analysis (CVA), are proposed to expand the usual Population Viability Analysis (PVA) and precautionary approach. An illustration is proposed, using data on the fisheries of Bay of Biscay (France) exploiting the stocks of nephrops and hake. Stochastic simulations show how CVA can guarantee both ecological (stock) and economic (profit) sustainability. Using 2008 as a baseline, the model is used to identify fishing efforts that ensure such co-viability. (C) 2012 Elsevier B.V. All rights reserved.
Ecological Economics (0921-8009) (Elsevier Science Bv), 2012-03 , Vol. 75 , P. 32-42

Droits : 2012 Elsevier Science Bv
http://archimer.ifremer.fr/doc/00074/18571/16153.pdf
DOI:10.1016/j.ecolecon.2012.01.005
http://archimer.ifremer.fr/doc/00074/18571/