Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Austrian Post 5.49 € DPD courier 3.99 € DPD point 2.99 €

Contact

How to shop

Help

My account

▸ Empty :-(

Hybrid Forest Modelling

Name: Hybrid Forest Modelling
Brand: VDM Verlag Dr. Mueller E.K.
SKU: 06811706
Price: 85.09 EUR
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

208 b

85.09 € VAT included

In stock at our supplier Shipping in 9-15 days

Delivery to Austria

30-day return policy

Customers also purchased

Potere e conflitto. Saggi sulla Costituzione di Weimar Otto Kirchheimer

Book

34.09 €

Grandmaster of Demonic Cultivation - Light Novel 02 Nina Le

Adobe ePub DRM

24.99 €

enigma della vacca intera Dario Cecchini

Paperback

20.09 €

Oloncho o Ňurgunu Booturovi collegium

Book

22.29 €

BABADADA, OEsterreichisches Deutsch mit Artikeln - Dansk, das Bildwoerterbuch - billedordbog Babadada Gmbh

Paperback

29.49 €

700 Journaling stickers série 1

Paperback

19.39 €

Caracteristicas mecanicas de la brazada en nadadores de aguas abiertas Ronald Garcia Rojas

Paperback

75.69 €

Jeanne Ponson Du Terrail

Paperback

10.59 €

Nemeennes PINDARE

Paperback

21.99 €

Troisieme Voyage Agricole En Angleterre Et En Ecosse De Gourcy-C

Paperback

25.09 €

El jardín de medianoche Philippa Pearce

Paperback

22.09 €

Napoleon I. - eine Biographie August Fournier

Paperback

48.99 €

Nicht authentisches Lachen in Sitcoms aus soziologischer Sicht Jennifer Jablonski

Paperback

15.95 €

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.