United States
£ GBP
Presents ideas and methods for directly optimizing the spatial layout of the landscape features in which an ecosystem functions.
Ferret ReleasesNet Population Growth RateFerret DispersalSpatial DefinitionFerret Reintroduction in South DakotaThe Spatial Optimization ModelThe Black-Footed Ferret: A Case StudyDiscussionThe Modeling ApproachSustainability of Species RichnessThe Logistic DistributionTransformationsDeclining Monotonicity of Natural LogarithmResultsAllocation Over Time and SpaceResultsContinuous Choice VariablesResultsThe ProblemAn ExampleThe ModelA Cellular Model of Wildlife Population Growth and DispersalMethodsDynamic MovementRow-Total Variance ReductionAn ExamplePost--Optimization CalculationsSimulation Versus OptimizationAn Adaptive Management ContextSynthesisA New Definition for a Regulated ForestSingle-Species EmphasisAccounting for MortalitySensitivity to Planning Horizon LengthSensitivity to Minimum Harvest AgeModel ReductionLinear Approximation of Objective FunctionsA Coastal Douglas-fir Case StudyObjective FunctionsWildlife Habitat Fragmentation EffectsEdge Effects A Cellular Model of Wildlife Habitat Spatial RelationshipsStatic Spatial RelationshipsA Final Introductory NoteSolvability of Nonlinear ProgramsSolvability of (0--1) Integer ProgramsMethodsOrganizationViewpointIntroductionThe ProblemPragmatic Approaches to Handling Risk and UncertaintyDiscussionResultsThe ProblemAn ExampleRectanglesCirclesOptimizationChance MaximizationSpatial AutocorrelationConnectivityTheoryA Geometric Wildlife Model with Spatial Autocorrelation and Habitat ConnectivityDiscussionResultsThe ProblemAn ExampleA Cellular Timber Model with Spatial AutocorrelationApproximation of the CDFTotal Probability Chance-Maximizing ProgrammingJoint Probability Chance-Maximizing ProgrammingMAXMIN Chance-Maximizing ProgrammingChance-Maximizing ProgramsTotal Probability Chance ConstraintJoint Probability Chance ConstraintIndividual Chance ConstraintsChance-Constrained ProgrammingSpatial AutocorrelationDiscussionResultsThe ProblemAn ExampleA Spatial Recreation Allocation ModelThe Case of More Than One Proposed SiteThe Travel Cost ModelSpatial Supply--Demand Equilibrium: A Recreation ExampleDiscussionResultsAn ExampleSpatial Effects A Geometric Model of Wildlife Habitat Spatial RelationshipsDiscussionResultsThe ProblemAn ExampleWildlife Habitat Size ThresholdsResultsA Steady-State ExampleDetermining the Optimal Steady StateSpecies Richness Objective FunctionsDiversity and SustainabilityDiscussionResultsTwo ExamplesThe Spatial Optimization ApproachA Nested-Schedule Model of StormflowDiscussionResultsThe ProblemAn ExampleThe ModelA Cellular Model of Pest ManagementModel ResultsFerret Carrying Capacity
John Hof is a project leader, and Michael Bevers is a research scientist at the USDA Forest Service's Rocky Mountain Research Station in Fort Collins, Colorado.
The authors do an excellent job of explaining in words, diagrams, and mathematical symbolism the nature of spatial modeling and optimization across several ecosystem examples. . . . Recommend[ed] . . . as a must read for any operations researcher in the environmental area. Also recommend[ed] to any OR professional who has an interest in how our natural resources are allocated and used.
