Variable effort fishing models in random environments.

作者: Carlos A. Braumann

DOI: 10.1016/S0025-5564(98)10058-5

关键词: FishingNoiseStationary distributionRandom environmentStochastic differential equationMathematicsMathematical optimizationEconometricsType (model theory)Carrying capacityVariable (computer science)

摘要: We study the growth of populations in a random environment subjected to variable effort fishing policies. The models used are stochastic differential equations and environmental fluctuations may either affect an intrinsic parameter or be additive noise type. Density-dependent natural policies very general form so that our results will model independent. obtain conditions on for non-extinction non-fixation at carrying capacity similar obtained corresponding deterministic model. also existence stationary distributions (as well as expressions such distributions) equilibrium provide minimal requirements choice wise density-dependent policy.

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