Spatial Optimization for Managed Ecosystems
Will be published approx. on 1. April 1998
Book
Hardback
320 pages
978-0-231-10636-8 (ISBN)
Description
Spatial optimization is a methodology used to maximize or minimize a management objective, given the limited area, finite resources, and spatial relationships in an ecosystem. Optimization approaches can be used to evaluate a great variety of options and allow tradeoff analyses that might be impossible with other methods. This book presents ideas and methods for directly optimizing the spatial layout of the landscape features in which an ecosystem functions. The problems Hof and Bevers address are complex, and the book relies heavily on mathematical presentations; the ideas are explained in a tutorial fashion that allows readers to grasp the general principals even if they skip the math. The first of four parts treats static spatial relationships that reflect the importance of shape, size, and proximity within an ecosystem. Part 2 considers spatial autocorrelation in a chance-constrained modeling framework. Part 3 discusses dynamic spatial changes within modeled ecosystems, and the final section focuses on diversity and sustainability.
Although most discussion concerns wildlife habitat issues, the authors also include chapters on recreation, timber management, water runoff, and pest management.
Although most discussion concerns wildlife habitat issues, the authors also include chapters on recreation, timber management, water runoff, and pest management.
More details
Series
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Product notice
Trade binding
Illustrations
48 illus
Weight
34 gr
ISBN-13
978-0-231-10636-8 (9780231106368)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
John Hof | Michael Bevers
Spatial Optimization for Managed Ecosystems
Book
04/1998
Columbia University Press
€55.71
Shipment within 10-20 days
Persons
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.
Content
Ferret Releases Net Population Growth Rate Ferret Dispersal Spatial Definition Ferret Reintroduction in South Dakota The Spatial Optimization Model The Black-Footed Ferret: A Case Study Discussion The Modeling Approach Sustainability of Species Richness The Logistic Distribution Transformations Declining Monotonicity of Natural Logarithm Results Allocation Over Time and Space Results Continuous Choice Variables Results The Problem An Example The Model A Cellular Model of Wildlife Population Growth and Dispersal Methods Dynamic Movement Row-Total Variance Reduction An Example Post-Optimization Calculations Simulation Versus Optimization An Adaptive Management Context Synthesis A New Definition for a Regulated Forest Single-Species Emphasis Accounting for Mortality Sensitivity to Planning Horizon Length Sensitivity to Minimum Harvest Age Model Reduction Linear Approximation of Objective Functions A Coastal Douglas-fir Case Study Objective Functions Wildlife Habitat Fragmentation Effects Edge Effects A Cellular Model of Wildlife Habitat Spatial Relationships Static Spatial Relationships A Final Introductory Note Solvability of Nonlinear Programs Solvability of (0-1) Integer Programs Methods Organization Viewpoint Introduction The Problem Pragmatic Approaches to Handling Risk and Uncertainty Discussion Results The Problem An Example Rectangles Circles Optimization Chance Maximization Spatial Autocorrelation Connectivity Theory A Geometric Wildlife Model with Spatial Autocorrelation and Habitat Connectivity Discussion Results The Problem An Example A Cellular Timber Model with Spatial Autocorrelation Approximation of the CDF Total Probability Chance-Maximizing Programming Joint Probability Chance-Maximizing Programming MAXMIN Chance-Maximizing Programming Chance-Maximizing Programs Total Probability Chance Constraint Joint Probability Chance Constraint Individual Chance Constraints Chance-Constrained Programming Spatial Autocorrelation Discussion Results The Problem An Example A Spatial Recreation Allocation Model The Case of More Than One Proposed Site The Travel Cost Model Spatial Supply-Demand Equilibrium: A Recreation Example Discussion Results An Example Spatial Effects A Geometric Model of Wildlife Habitat Spatial Relationships Discussion Results The Problem An Example Wildlife Habitat Size Thresholds Results A Steady-State Example Determining the Optimal Steady State Species Richness Objective Functions Diversity and Sustainability Discussion Results Two Examples The Spatial Optimization Approach A Nested-Schedule Model of Stormflow Discussion Results The Problem An Example The Model A Cellular Model of Pest Management Model Results Ferret Carrying Capacity