Spatial Optimization for Managed Ecosystems [Hardcover]

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.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.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