Modelling forest development / by Klaus von Gadow and Gangying Hui.

The key to successful timber management is a proper understanding of growth processes, and one of the objectives of modelling forest development is to provide the tools that enable foresters to compare alternative silvicultural treatments. In a managed woodland, the most important periodic disturban...

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Bibliographic Details
Online Access: Full Text (via Springer)
Main Author: Gadow, Klaus von
Other Authors: Hui, Gangying
Format: eBook
Language:English
Published: Dordrecht ; Boston : Kluwer Academic Publishers, [1999]
Series:Forestry sciences ; v. 57.
Subjects:

MARC

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245 1 0 |a Modelling forest development /  |c by Klaus von Gadow and Gangying Hui. 
264 1 |a Dordrecht ;  |a Boston :  |b Kluwer Academic Publishers,  |c [1999] 
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490 1 |a Forestry sciences ;  |v volume 57. 
504 |a Includes bibliographical references (pages 195-203) and index. 
505 0 0 |g 1.  |t Introduction --  |g 2.  |t Projecting Regional Timber Resources --  |g 3.  |t Modelling Stand Development --  |g 4.  |t Size Class Models --  |g 5.  |t Individual Tree Growth --  |g 6.  |t Model Evaluation. 
520 |a The key to successful timber management is a proper understanding of growth processes, and one of the objectives of modelling forest development is to provide the tools that enable foresters to compare alternative silvicultural treatments. In a managed woodland, the most important periodic disturbances are the thinning operations, which are often carried out at regular intervals and which usually have a significant effect on the future evolution of the resource. Thus, a realistic model of forest development includes both natural growth and thinnings. One of the outstanding features of this book is its inclusion of thinning models at varying levels of resolution and consideration of differences in forester's tree marking behaviour. 
520 8 |a Other interesting aspects include regional resource forecasting approaches, generalized stem taper functions, generalized diameter-height relations, new ways of describing and reproducing forest spatial structures, crown modeling and iterative competition modeling. Worked examples and code are provided where appropriate. The intended readership is graduate students. 
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