Spatial Optimization in Ecological Applications / / John Hof, Michael Bevers.

• Superior document: Title is part of eBook package: De Gruyter Columbia University Press eBook-Package Backlist 2000-2013
• VerfasserIn: Hof, John,; Bevers, Michael,
• Place / Publishing House: New York, NY : : Columbia University Press, , [2002]; ©2002
• Year of Publication: 2002
• Language: English
• Series: Complexity in Ecological Systems
• Physical Description: 1 online resource (520 p.) :; 55 line art, 16 color
• Other title: Frontmatter --; CONTENTS --; PREFACE --; 1 INTRODUCTION --; PART I. SIMPLE PROXIMITY RELATIONSHIPS --; 2 SEDIMENTATION --; 3 STORMFLOW MANAGEMENT --; 4 NATURAL REGENERATION IN ANY-AGED FOREST MANAGEMENT --; 5 COMBINING SIMULATION WITH OPTIMIZATION: HABITAT PLACEMENT FOR THE NORTHERN SPOTTED OWL --; PART II. REACTION-DIFFUSION MODELS --; 6 CHARACTERISTICS OF THE DISCRETE REACTION-DIFFUSION MODEL --; 7 THE BASIC MODEL: HABITAT PLACEMENT FOR THE BLACK-FOOTED FERRET --; 8 POPULATION-DEPENDENT DISPERSAL: HABITAT PLACEMENT FOR THE BLACK-TAILED PRAIRIE DOG --; 9 TOPOGRAPHY-BASED DISPERSAL: HABITAT LOCATION FOR THE WESTERN PRAIRIE FRINGED ORCHID --; 10 HABITAT EDGE EFFECTS --; PART III. CONTROL MODELS --; 11 STRATEGIES FOR CONTROLLING EXOTIC PESTS --; 12 STRATEGIES FOR CONTROLLING WILDFIRE --; PART IV. USING OPTIMIZATION TO DEVELOP HYPOTHESES ABOUT ECOSYSTEMS --; 13 MULTISCALED ECOLOGICAL LIMITING FACTORS --; 14 CARBON FIXATION IN TREES AS AN OPTIMIZATION PROCESS --; 15 POSTSCRIPT --; REFERENCES --; INDEX
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9780231500739; 9783110442472
• DOI: 10.7312/hof-12544
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: John Hof, Michael Bevers.

Whether discussing habitat placement for the northern spotted owl or black-tailed prairie dog or strategies for controlling exotic pests, this book explains how capturing ecological relationships across a landscape with pragmatic optimization models can be applied to real world problems. Using linear programming, Hof and Bevers show how it is possible for the researcher to include many thousands of choice variables and many thousands of constraints and still be quite confident of being able to solve the problem in hand with widely available software. The authors' emphasis is to preserve optimality and explore how much ecosystem function can be captured, stressing the solvability of large problems such as those in real world case studies.