Confronting Management Challenges in Highly Uncertain Natural Resource Systems: a Robustness-Vulnerability Trade-off Approach

• Published in: Environmental modeling & assessment Vol. 16; no. 1; pp. 15 - 36
• Main Authors: Rodriguez, Armando A, Cifdaloz, Oguzhan, Anderies, John Martin, Janssen, Marco A, Dickeson, Jeffrey
• Format: Journal Article
• Language: English
• Published: Dordrecht Dordrecht : Springer Netherlands 01.02.2011; Springer Netherlands; Springer; Springer Nature B.V
• Subjects: Analysis; Applications of Mathematics; Control theory; Delay; Distribution (Probability theory); Earth and Environmental Science; Embedded systems; Environment; Environmental monitoring; Fish industry; Fisheries; Fisheries management; issues and policy; Learning; Math. Appl. in Environmental Science; Mathematical Modeling and Industrial Mathematics; Mathematical models; Natural resource management; Natural resources; Operations Research/Decision Theory; Optimization techniques; parameter uncertainty; Policies; Policy implementation; probability distribution; Resource management; Robust control; Robustness; Studies; Tradeoff analysis; Tradeoffs; Uncertainty; Vulnerability; Robust control; Learning; Uncertainty; Vulnerability; Resource management; Policy implementation

This paper presents a framework for the study of policy implementation in highly uncertain natural resource systems in which uncertainty cannot be characterized by probability distributions. We apply the framework to parametric uncertainty in the traditional Gordon-Schaefer model of a fishery to ill...