Spatial Optimization in Ecological Applications

Nonfiction, Science & Nature, Science, Biological Sciences, Ecology, Environmental Science
Cover of the book Spatial Optimization in Ecological Applications by John Hof, Michael Bevers, Columbia University Press
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Author: John Hof, Michael Bevers ISBN: 9780231500739
Publisher: Columbia University Press Publication: May 23, 2002
Imprint: Columbia University Press Language: English
Author: John Hof, Michael Bevers
ISBN: 9780231500739
Publisher: Columbia University Press
Publication: May 23, 2002
Imprint: Columbia University Press
Language: English

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.

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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.

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