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Mathematical programming methods for sustainable optimization of mobile renewable natural resources

Posted on:1996-09-24Degree:Ph.DType:Dissertation
University:Colorado State UniversityCandidate:Bevers, Guy MichaelFull Text:PDF
GTID:1461390014984934Subject:Hydrology
Abstract/Summary:
Three studies are presented that develop mathematical programming methods for addressing sustained optimal management of mobile natural resources. In the first study, a discrete-time reaction-diffusion model for black-footed ferret release, dispersal, and population growth is combined with habitat carrying capacity constraints based on prairie dog population management decisions. The model optimizes the spatial arrangement of a limited number of active prairie dog colonies. In the second study, a wildlife viability optimization model is developed to convert a given set of initial forest conditions, through a combination of natural growth and management treatments, to a sustainable forest system which meets the joint habitat needs of multispecies populations. In the third study, a spatial optimization model is developed for limiting cumulative effects of forest treatments in watersheds by determining treatment schedules and arrangements that satisfy peak stormflow constraints for modeled storm events.
Keywords/Search Tags:Natural, Optimization, Model
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