Adaptive management of renewable resources

摘要: The author challenges the traditional approach to dealing with uncertainty in management of such renewable resources as fish and wildlife. He argues that scientific understanding will come from experience an ongoing, adaptive, experimental process, rather than through basic research or development ecological theory. The opening chapters review approaches formulating objectives well models for how policy choices affect attainment these objectives. Subsequent present various statistical methods dynamics managed wildlife populations seeking optimum harvest policies face uncertainty. book concludes a look at prospects adaptive complex systems, emphasizing human factors involved decision making risk aversion conflicting biophysical factors. Throughout text dynamic Bayesian theory are used tools behavior systems. These illustrated simple graphs plots data representative cases. This text/reference serve researchers, graduate students, resource managers who formulate study populations, analysts (modelers, statisticians, stock assessment experts) concerned practice design.