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Dominant height growth equations including site attributes in the generalized algebraic difference approach

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We present a new dynamic dominant height growth model based on Cieszewski’s generalized algebraic difference approach (GADA) advanced dynamic site equation strengthened by the use of explicit climate and soil variables (i.e., H = f(H0,T0, T, site conditions)). The results suggest that the inclusion of climatic variables would improve the applicability of the inter-regional model in regions in which climate and soil type lead to intra-regional variability. The new model reduces the bias present in a previous dynamic model that did not include climatic attributes and improves the model efficiency across the different age classes. Climate has a multiplicative effect on dominant tree growth in the early development stages (<20years) and an additive effect in older stands.

Nous présentons ici un nouveau modèle dynamique de croissance en hauteur dominante fondé sur l’équation de la méthode de la différence algébrique généralisée (GADA) de l’indice de qualité de station de Cieszewski renforcée par l'utilisation des variables explicites du climat et du sol, c.-à-d. H = f(H0, T0, T, état du site). Les résultats indiquent que l'inclusion des variables climatiques permettrait d'améliorer l'applicabilité du modèle interrégional dans les régions où le climat et le type de sol sont à l’origine de la variabilité intrarégionale. Le nouveau modèle permet de réduire le biais présent dans un modèle dynamique précédent qui n’incluait pas les caractéristiques climatiques et améliore l’efficacité de ce modèle pour l’ensemble des classes d'âge. Le climat exerce un effet multiplicateur sur la croissance des arbres dominants durant les premiers stades de développement (<20 ans) et un effet additif dans les vieux peuplements.

Document Type: Research Article

Publication date: September 1, 2008

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  • Published since 1971, this monthly journal features articles, reviews, notes and commentaries on all aspects of forest science, including biometrics and mensuration, conservation, disturbance, ecology, economics, entomology, fire, genetics, management, operations, pathology, physiology, policy, remote sensing, social science, soil, silviculture, wildlife and wood science, contributed by internationally respected scientists. It also publishes special issues dedicated to a topic of current interest.
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