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Dominant height growth equations including site attributes in the generalized algebraic difference approach
Author(s) -
Andrés BravoOviedo,
Margarida Tomé,
Felipe Bravo,
Gregorio Montero,
Miren del Rı́o
Publication year - 2008
Publication title -
canadian journal of forest research
Language(s) - French
Resource type - Journals
SCImago Journal Rank - 0.677
H-Index - 121
eISSN - 1208-6037
pISSN - 0045-5067
DOI - 10.1139/x08-077
Subject(s) - mathematics , multiplicative function , tree (set theory) , generalized additive model , econometrics , statistics , environmental science , atmospheric sciences , physical geography , geography , combinatorics , mathematical analysis , geology
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 at- tributes and improves the model efficiency across the different age classes. Climate has a multiplicative effect on dominant tree growth in the early development stages (<20 years) and an additive effect in older stands. Resume ´ : Nous presentons ici un nouveau modele dynamique de croissance en hauteur dominante fondesur l'equation de la methode de la difference algebrique generalisee (GADA) de l'indice de qualitede station de Cieszewski renforcee par l'utilisation des variables explicites du climat et du sol, c.-a `-d. H = f(H0, T0, T ,etat du site). Les resultats indiquent que l'inclusion des variables climatiques permettrait d'ameliorer l'applicabilitedu modele interregional dans les regions oule climat et le type de sol sont al'origine de la variabiliteintraregionale. Le nouveau modele permet de reduire le biais present dans un modele dynamique precedent qui n'incluait pas les caracteristiques climatiques et ameliore l'efficacitede ce modele pour l'ensemble des classes d'age. Le climat exerce un effet multiplicateur sur la croissance des arbres domi- nants durant les premiers stades de developpement (<20 ans) et un effet additif dans les vieux peuplements. (Traduit par la Redaction)

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