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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John Hof is a project leader and Chief Economist at the U.S. Department of Agriculture Forest Service Rocky Mountain Research Station. Michael Bevers is a Senior Research Scientist at the same institution. They are the authors of Spatial Optimization for Managed Ecosystems, also in the Complexity in Ecological Systems series.
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Librería: HPB-Red, Dallas, TX, Estados Unidos de America
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Librería: N. Fagin Books, Chicago, IL, Estados Unidos de America
Soft cover. Condición: Very Good. 2002. Natural History. Complexity in Ecological Systems, Columbia University Press. Very good - near fine paperback 257p. 9/25. Nº de ref. del artículo: 137654
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Condición: New. 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. Series: Complexity in Ecological Systems. Num Pages: 520 pages, 55 line art, 16 color. BIC Classification: PBUH; PSAF; RNC; RNF. Category: (P) Professional & Vocational. Dimension: 228 x 153 x 19. Weight in Grams: 408. . 2002. Illustrated. Paperback. . . . . Nº de ref. del artículo: V9780231125451
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