Ecological Modeling for Resource Management (Hardcover, 2003 ed.)

With the use of ecological models, managers and decision makers can make sure that the ecological systems affected by their decisions are accurately represented. Unfortunately, the most relevant ecological science and modeling techniques are often not used because managers are not familiar with them or find them inappropriate for their circumstances. The authors of this volume hope to close the gap between the state of the art in ecological modeling and the state of the practice in the use of models as decision-making tools. It will serve as a readable introduction to modeling for people involved in resource management and will also review specific applications of interest to more experienced modelers. The first chapters detail several successful uses of ecological models in resource management. There are then five pairs of chapters addressing important issues in ecological modeling, including barriers to the use of modeling in decision making, evolving approaches in the field, effective use of data, the toolkit approach to management, and the various scientific and technological investments required for productive modeling. Ecologists and other scientists will learn how best to focus their research for practical, real-world applications, and resource managers and other practitioners will learn the most appropriate methods of understanding dynamic processes and making projections about the implications of their decisions.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	December 2002
First published:	2003
Editors:	Virginia H Dale
Dimensions:	235 x 155 x 20mm (L x W x T)
Format:	Hardcover
Pages:	328
Edition:	2003 ed.
ISBN-13:	978-0-387-95493-6
Categories:	Books > Earth & environment > The environment > Management of land & natural resources Books > Earth & environment > Regional & area planning > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Promotions
LSN:	0-387-95493-7
Barcode:	9780387954936

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