Height–Diameter Models Using Stand Characteristics for<i>Pinus banksiana</i>and<i>Picea mariana</i>

Sharma, Mahadev; Zhang, Shu Yin

doi:10.1080/02827580410030163

Cited by 98 publications

(88 citation statements)

References 17 publications

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“…An alternative, such as was used in our example application where tree level errors were propagated to the stand level, is to sample all live and dead trees in fixed area plots to reconstruct the growth of the whole stand [2,3], a method that has shown promise if the aim is to successfully detect climate and global change-related trends from tree-ring data [42], but remains challenged by the inability to sample trees that have died in the past and subsequently decayed [33]. In addition, replacing the relatively basic equations used in this study with more sophisticated methods that are sensitive to the effect of stand conditions on height-diameter relationships [43], tree volume [44,45], or biomass [46] should also improve the estimates of annual growth increment that could be obtained at both the tree and forest levels, for species where such models are available.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Whole Tree Growth Increment Derived from Tree-Ring Series for Use in Assessments of Changes in Forest Productivity across Various Spatial Scales

Metsaranta

Bhatti

2016

Forests

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Abstract:The inherent predictability of inter-annual variation in forest productivity remains unknown. Available field-based data sources for understanding this variability differ in their spatial resolution, temporal resolution, and typical units of measure. Nearly all other tree and forest characteristics are in practice derived from measurements of diameter at breast height (DBH). Therefore, diameter increment reconstructed annually from tree-ring data can be used to estimate annual growth increments of wood volume, but the accuracy and precision of these estimates requires assessment. Annual growth estimates for n = 170 trees sampled for whole stem analysis from five tree species (jack pine, lodgepole pine, black spruce, white spruce, and trembling aspen) in Western Canada were compared against increments derived from breast height measurements only. Inter-annual variability of breast height and whole tree growth increments was highly correlated for most trees. Relative errors varied by species, diameter class, and the equation used to estimate volume (regional vs. national). A simple example of the possible effect of this error when propagated to the stand level is provided.

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Section: Discussionmentioning

confidence: 99%

Evaluation of Whole Tree Growth Increment Derived from Tree-Ring Series for Use in Assessments of Changes in Forest Productivity across Various Spatial Scales

Metsaranta

Bhatti

2016

Forests

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“…Therefore, a single curve cannot be used to estimate all the possible relationships that can be found within a forest. To minimise the level of variance, h-d relationships can be improved by taking into account stand variables that introduce the dynamics of each stand into the model (e.g., [34,66,93]). …”

Section: Height Estimation For Diameter Classesmentioning

confidence: 99%

A growth model for Pinus radiata D. Don stands in north-western Spain

2007

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-A dynamic whole-stand growth model for radiata pine (Pinus radiata D. Don) stands in north-western Spain is presented. In this model, the initial stand conditions at any point in time are defined by three state variables (number of trees per hectare, stand basal area and dominant height), and are used to estimate total or merchantable stand volume for a given projection age. The model uses three transition functions derived with the generalized algebraic difference approach (GADA) to project the corresponding stand state variables at any particular time. These equations were fitted using the base-age-invariant dummy variables method. In addition, the model incorporates a function for predicting initial stand basal area, which can be used to establish the starting point for the simulation. Once the state variables are known for a specific moment, a distribution function is used to estimate the number of trees in each diameter class by recovering the parameters of the Weibull function, using the moments of first and second order of the distribution. By using a generalized height-diameter function to estimate the height of the average tree in each diameter class, combined with a taper function that uses the above predicted diameter and height, it is then possible to estimate total or merchantable stand volume.whole-stand growth model / radiata pine plantations / generalized algebraic difference approach / basal area disaggregation / Galicia Résumé -Un modèle de croissance pour des peuplements de Pinus radiata D. Don du nord ouest de l'Espagne. Un modèle dynamique de croissance de peuplement est présenté pour Pinus radiata D. dans le nord ouest de l'Espagne. Dans ce modèle, les conditions initiales du peuplement en tout point et temps sont définies par trois variables d'état (nombre d'arbres à l'hectare, surface terrière et hauteur dominante) et sont utilisées pour estimer le volume total ou marchand du peuplement pour un âge donné. Le modèle utilise trois fonctions de transition dérivées avec une approche par différence algébrique généralisée (GADA) pour projeter les variables d'état correspondantes du peuplement à n'importe quel moment. Ces équations ont été ajustées en utilisant la méthode des variables indicatrices indépendantes de l'âge. En plus, le modèle incorpore une fonction de prédiction de la surface terrière initiale du peuplement qui peut être utilisée pour établir le point de départ de la simulation. Une fois que les variables d'état sont connues à un instant donné, une fonction de distribution est utilisée pour estimer le nombre d'arbres dans chaque classe de diamètre en récupérant les paramètres de la fonction de Weibull, en utilisant les moments de premier et de second ordre de la distribution. En utilisant une fonction généralisée hauteur-diamètre pour estimer la hauteur de l'arbre moyen de chaque classe de diamètre, combinée avec une fonction qui utilise la prédiction précédente du diamètre et de la hauteur, il est alors possible d'estimer le volume total ou marchand du peuplement. modèl...

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“…Therefore, General Directorate of Forests needs to develop and evaluate tree height-diameter equations and growth and yield prediction models for management of these forest resources. Individual tree height and diameter at breast height (dbh) are essential forest inventory measures for estimating timber volume, site index, stand description, damage appraisals, and other important variables in forest growth and yield, succession, and carbon budget models (Parresol, 1992;Peng et al, 2001;Yuancai and Parresol, 2001;Sharma and Zhang, 2004;Castedo-Dorado et al, 2005). Estimating individual tree volume and site index, and describing stand growth dynamics and succession over time, require accurate height-diameter models (Curtis, 1967;Zhang, 1997;Colbert et al, 2002;Peng et al, 2004;Castedo-Dorado et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of different modeling approaches for total tree-height estimation in Mediterranean Region of Turkey

Diamantopoulou

Özçelık

2012

For. syst.

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Efficient management of timber resources and wood utilization practices require accurate and versatile information about important characteristics of forest resources for evaluating the numerous management and utilization alternatives for timber resources. Tree height is considered one of the most useful variables along with stocking and diameter at breast height, in estimating forest stand wood volumes and productivity. Six nonlinear growth functions were fitted to tree height-diameter data of three major tree species in Western Mediterranean Region's forests of Turkey. The generalized regression neural network (GRNN) technique has been applied for tree height prediction, as well, due to its ability to fit complex nonlinear models. The performance of the models was compared and evaluated. Further, equivalence tests of the selected models were conducted. Validation showed the appropriatness of all models to predict tree height. According to the model performance criteria, the six nonlinear growth functions were able to capture the height-diameter relationships and fitted the data almost equally well, while the constructed generalized regression neural network (GRNN) models were found to be superior to all nonlinear regression models, in terms of their predictive ability.

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Height–Diameter Models Using Stand Characteristics forPinus banksianaandPicea mariana

Cited by 98 publications

References 17 publications

Evaluation of Whole Tree Growth Increment Derived from Tree-Ring Series for Use in Assessments of Changes in Forest Productivity across Various Spatial Scales

Evaluation of Whole Tree Growth Increment Derived from Tree-Ring Series for Use in Assessments of Changes in Forest Productivity across Various Spatial Scales

A growth model for Pinus radiata D. Don stands in north-western Spain

Evaluation of different modeling approaches for total tree-height estimation in Mediterranean Region of Turkey

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