NDLI: Hare or Tortoise? Trade-offs in Recovering Sustainable Bioeconomic Systems

Content Provider	Springer Nature Link
Author	Martinet, Vincent Thébaud, Olivier Rapaport, Alain
Copyright Year	2010
Abstract	In this paper, we develop a framework for (a) the study of sustainability of dynamic bioeconomic systems and (b) the definition of recovery paths from unsustainable situations. We assume that the system follows a sustainable trajectory if it evolves over time within a set of multidimensional constraints. We use the mathematical concept of viability to characterize sustainability. Recovery paths are studied with regards to their duration and their acceptability. This general framework is applied to the issue of recovering sustainable fisheries. We define sustainability in a fishery as the requirement that a set of economic, ecological, and social constraints is satisfied at all times. Recovery paths are characterized by the time required to obtain sustainable exploitation conditions in the fishery and by the acceptable recovery costs for fishermen. In particular, we identify the recovery path which minimizes the time of crisis under a minimum transition profit constraint. We then describe the trade-off between speed and accepted costs of recovery paths, by comparing “Hare”-like high-speed–high-cost strategies to “Tortoise”-like low-speed–low-cost strategies. We illustrate our results by means of a numerical analysis of the Bay of Biscay Nephrops fishery.
Starting Page	503
Ending Page	517
Page Count	15
File Format	PDF
ISSN	14202026
Journal	Environmental Modeling & Assessment
Volume Number	15
Issue Number	6
e-ISSN	15732967
Language	English
Publisher	Springer Netherlands
Publisher Date	2010-05-28
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Sustainability Recovery strategies Multicriteria approach Optimal and viable control Bioeconomic modeling Fisheries economics Environment Applications of Mathematics Mathematical Modeling and Industrial Mathematics Math. Application in Environmental Science
Content Type	Text
Resource Type	Article
Subject	Environmental Science

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