作者: Byron K. Williams
DOI: 10.1016/0025-5564(96)00021-1
关键词: Operations research 、 Natural resource 、 Population 、 Computer science 、 Adaptive algorithm 、 Adaptive management 、 Sampling (statistics) 、 Adaptive optimization 、 Markov decision process 、 Resource (project management)
摘要: Abstract Adaptive management of renewable biotic resources accounts explicitly for uncertainties in system responses to and recognizes the importance reducing while pursuing other goals. An adaptive approach harvest wildlife populations that are subject (1) uncontrollable environmental variation, (2) about appropriate characterization resource dynamics, (3) limitations on controllability rates, (4) as population status, expressed sampling variation monitoring habitats, is described. framed terms maximizing long-term value against a background various kinds degrees uncertainty, with an emphasis structural uncertainty. By extension “system state,” optimization can be defined Markov decision processes. Solution algorithms described systems uncertainty either partially or completely observable. illustrated example waterfowl incorporates relationship between rates survivorship.