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Hybrid Forest Modelling

Name: Hybrid Forest Modelling
Brand: VDM Verlag Dr. Mueller E.K.
SKU: 06811706
Price: 31586 HUF
Availability: InStock
Author: Guy L. Pinjuv
ISBN: 9783639017618

Integrating Physiological and Statistical Approaches to Predict Stand-Level Growth of Pinus radiata D. Don in Canterbury New Zealand

Guy L. Pinjuv

Language

English

Book Paperback

Libristo code: 06811706

Publishers VDM Verlag Dr. Mueller E.K., May 2008

Forestry growth models are categorized according to their level of mechanistic detail, complexity, a... Full description

Libristo code: 06811706

214 b

31 586 Ft

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Forestry growth models are categorized according to their level of mechanistic detail, complexity, and generality. At one end of the scale are empirical growth and yield models, which are curves fitted to historical data of forest growth. In contrast, process-based models are based on the mechanisms which underlie growth. Hybrid models can avoid the shortcomings of both approaches, these models incorporate a mechanistic description of the environmental influences into an empirical growth and yield model. Two models were developed in this work to predict growth of Pinus radiata plantations in Canterbury, New Zealand. The first, CanSPBL(1.2), is an empirical model, and the second CanSPBL(water), is a hybrid growth model that incorporates an index of root zone water balance over the simulation period. This work also includes an objective comparison and validation of a range of model types from empirical, hybrid, to process-based, with the main criteria for comparison being each models ability to match historical measurements of forest growth in an independent data set. This analysis should shed some light on the debate between modelling approaches and offers a method of integration. It should be especially useful to scientists, policy makers, and natural resource managers interested in predicting the growth of forest stands over time.