作者: Jean-Pierre Aubin , Luxi Chen , Marie-Hélène Durand
DOI: 10.1007/S10287-013-0192-4
关键词: Economics 、 Software 、 Natural resource management 、 Decentralization 、 Constraint (mathematics) 、 Viability theory 、 Measure (mathematics) 、 Renewable resource 、 Mathematical optimization 、 Resource (project management)
摘要: This study proposes a new framework to tackle the uncertainty that prevails in exploitation of renewable resources. It deals with question how guarantee both minimum multi-species harvest and renewal resources when their evolutions are uncertain. The problem is twofold: decentralize global constraint (on harvest) into local constraints different species) and, then, use “tychastic” approach necessitating only forecasts lowers bounds resource growth rates. study, formulated as regulated system viability constraints, departs from stochastic approaches generally used deal uncertain situations. provides time dependent harvesting rule allowing always comply objective replenishment thresholds whatever happens tychastic measure risk terms initially required. To solve this involving method decentralizes has been devised. An example presented whose numerical results obtained thanks dedicated software using mathematical algorithmic tools theory.