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Books > Earth & environment > The environment > Management of land & natural resources

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Multi-objective Forest Planning (Hardcover, 2002 ed.) Loot Price: R4,123
Discovery Miles 41 230
Multi-objective Forest Planning (Hardcover, 2002 ed.): Timo Pukkala

Multi-objective Forest Planning (Hardcover, 2002 ed.)

Timo Pukkala

Series: Managing Forest Ecosystems, 6

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Loot Price R4,123 Discovery Miles 41 230 | Repayment Terms: R386 pm x 12*

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Most of the scientific methods devised for forest planning support timber production ignoring the existence of forest functions other than wood production. Fortunately, the realisation that the forest planning methods available today do not correspond to the needs of today's forestry has activated forest researchers to develop and adopt new methodologies and approaches, which are specifically aimed at multi-objective situations. This book is about the quantitative approach to multi-objective forest planning. The emphasis is on topics that are rather new and not yet systematically applied in forest planning practice. The topics and methodologies discussed in this book include: measurement of preferences, multiple criteria decision analysis, use of GIS to support multi-objective forest management, heuristic optimization, spatial optimisation, and the measurement of non-wood forest outputs. By reading the book, a planning specialist, student or a researcher will get an insight into some of the current developments in forest planning research.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Managing Forest Ecosystems, 6
Release date: February 2003
First published: December 2002
Editors: Timo Pukkala
Dimensions: 297 x 210 x 14mm (L x W x T)
Format: Hardcover
Pages: 208
Edition: 2002 ed.
ISBN-13: 978-1-4020-1097-2
Categories: Books > Earth & environment > The environment > Management of land & natural resources
Books > Professional & Technical > Agriculture & farming > Forestry & silviculture: practice & techniques
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LSN: 1-4020-1097-4
Barcode: 9781402010972

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