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Protocol and Practice in the Adaptive Management of Waterfowl Harvests Ecology and Society
Johnson, Fred; U.S. Fish and Wildlife Service; fred_a_johnson@fws.gov; Williams, Ken; ; byron_ken_williams@nbs.gov.
Waterfowl harvest management in North America, for all its success, historically has had several shortcomings, including a lack of well-defined objectives, a failure to account for uncertain management outcomes, and inefficient use of harvest regulations to understand the effects of management. To address these and other concerns, the U.S. Fish and Wildlife Service began implementation of adaptive harvest management in 1995. Harvest policies are now developed using a Markov decision process in which there is an explicit accounting for uncontrolled environmental variation, partial controllability of harvest, and structural uncertainty in waterfowl population dynamics. Current policies are passively adaptive, in the sense that any reduction in structural...
Tipo: Peer-Reviewed Reports Palavras-chave: Adaptive management; Harvest; Hunting regulations; Markov decision process; Migratory birds; Optimization; Uncertainty; Waterfowl..
Ano: 1999
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Resource Management with Stochastic Recharge and Environmental Threats AgEcon
Leizarowitz, Arie; Tsur, Yacov.
Exploitation diminishes the capacity of renewable resources to with-stand environmental stress, increasing their vulnerability to extreme conditions that may trigger abrupt changes. The onset of such events depends on the coincidence of extreme environmental conditions (environmental threat) and the resource state (determining its resilience). When the former is uncertain and the latter evolves stochastically, the uncertainty regarding the event occurrence is the result of the combined effect of these two uncertain components. We analyzed optimal resource management in such a setting. Existence of an optimal stationary policy is established and long run properties are characterized. A numerical illustration based on actual data is presented.
Tipo: Working or Discussion Paper Palavras-chave: Stochastic stock dynamics; Event uncertainty; Markov decision process; Optimal stationary policy; Environmental Economics and Policy.
Ano: 2009 URL: http://purl.umn.edu/52784
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Dynamic regulation of nonpoint source pollution when the number of emitters is large AgEcon
Tsur, Yacov; de Gorter, Harry.
When a nonpoint source pollution process involves many polluters, each taking his own contribution to aggregate pollution to be negligible, ambient-based policies become ineffective due to lack of strategic interactions between dischargers. We offer a regulation mechanism for this case. The mechanism consists of inter-period and intra-period components. The first exploits ambient (aggregate) information to derive the optimal pollution and aggregate emission processes and the ensuing social price of emission. The intra-period mechanism takes as given the social price of emission and implements the optimal output-abatement-emission allocation across the heterogenous, privately informed firms in each time period. The mechanism gives rise to the full...
Tipo: Article Palavras-chave: Nonpoint source pollution; Abatement; Stock externality; Dynamic regulation; Markov decision process; Asymmetric information; Crop Production/Industries; C61; D82; H23; L51; Q58.
Ano: 2012 URL: http://purl.umn.edu/122124
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