1992
DOI: 10.1142/s0218202592000259
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Application of Distributed Parameter Control Model in Wildlife Damage Management

Abstract: A bioeconomic model for optimal control of wildlife damage by migratory small mammal populations is developed under the framework of a nonlinear distributed parameter control problem. The model first simulates the spatio-temporal dynamics of dispersal population by parabolic diffusive Volterra-Lotka partial differential equation and then optimizes a criterion function of present value combined costs of wildlife damage and harvesting. The existence of a unique optimal solution for a finite time problem is prove… Show more

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Cited by 36 publications
(20 citation statements)
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“…13 While the concept of a metapopulation is the cornerstone of the main paradigms in terrestrial conservation biology [62], its application to the marine context is relative new. As Joan an unmanaged patch to a managed patch [6,7,8,39,45] and a model of the spatial movements of elephants that generate value from wildlife viewing but also create damages by destroying crops [70,75]. Clark presents an optimized two patch model of a biological population dispersing between inshore and offshore areas [13], 14 Brown and Roughgarden illustrate the optimal value of a larval pool to system wide fishery profits [11], and Janmaat investigates the implications of different governance regimes across a patchy system [42].…”
Section: Discrete Spatial-dynamics Modelsmentioning
confidence: 99%
“…13 While the concept of a metapopulation is the cornerstone of the main paradigms in terrestrial conservation biology [62], its application to the marine context is relative new. As Joan an unmanaged patch to a managed patch [6,7,8,39,45] and a model of the spatial movements of elephants that generate value from wildlife viewing but also create damages by destroying crops [70,75]. Clark presents an optimized two patch model of a biological population dispersing between inshore and offshore areas [13], 14 Brown and Roughgarden illustrate the optimal value of a larval pool to system wide fishery profits [11], and Janmaat investigates the implications of different governance regimes across a patchy system [42].…”
Section: Discrete Spatial-dynamics Modelsmentioning
confidence: 99%
“…We start by replacing problem (20) - (23) with its linear quadratic approximation. In doing so we extend the method developed by Fleming (1971), and Magill (1977) 12 -by which a non-linear optimal stochastic control problem is replaced by a simpler linear quadratic optimal stochastic control problem -to the case in which a deterministic control problem (such as a resource management problem), where the transition of the system is described by a partial differential equation with a diffusion term, and not by an ordinary differential equation, is replaced by a linear quadratic approximation.…”
Section: The Turing Mechanism In Optimally Controlled Systemsmentioning
confidence: 99%
“…Biological resources tend to disperse in space under forces promoting "spreading", or "concentrating" (Okubo, 2001); these processes along with intra and inter species interactions induce the formation of spatial patterns for species. In the management of economic-ecological problems, the importance of introducing the spatial dimension can be associated with a few attempts to incorporate spatial issues, such as resource management in patchy environments (Sanchirico andWilen, 1999, 2001;Sanchirico, 2004;Brock and Xepapadeas, 2002), the study of control models for interacting species (Lenhart and Bhat, 1992; Lenhart et al, 1999), the control of surface contamination in water bodies (Bhat et al 1999), or the creation of marine reserves (Neubert, 2003). 1 See for example Alfred Weber (1909), Harold Hotelling (1929), Walter Christaller (1933), and August Löcsh (1940) for early analysis.…”
Section: Introductionmentioning
confidence: 99%
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