2007
DOI: 10.1016/j.foreco.2007.04.029
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Comparative evaluation of five height–diameter models developed for black spruce and jack pine stand-types in terms of goodness-of-fit, lack-of-fit and predictive ability

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Cited by 58 publications
(44 citation statements)
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“…Group II models performed better than the Group I models for tree height prediction. Previous studies have shown that including stand characteristics as independent variables in height-diameter models improve the prediction accuracy of tree height estimation (Sáncheza et al 2003, Sharma and Zhang 2004, Temesgen and von Gadow 2004, Newton and Amponsah 2007. Stand variables reported in the literature include dominant diameter, dominant height, age, number of trees per hectare, stand basal area, the basal area in larger trees (BAL), density stress, developmental status and the combination of density stress and developmental status.…”
Section: Resultsmentioning
confidence: 99%
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“…Group II models performed better than the Group I models for tree height prediction. Previous studies have shown that including stand characteristics as independent variables in height-diameter models improve the prediction accuracy of tree height estimation (Sáncheza et al 2003, Sharma and Zhang 2004, Temesgen and von Gadow 2004, Newton and Amponsah 2007. Stand variables reported in the literature include dominant diameter, dominant height, age, number of trees per hectare, stand basal area, the basal area in larger trees (BAL), density stress, developmental status and the combination of density stress and developmental status.…”
Section: Resultsmentioning
confidence: 99%
“…The second type (Group II) includes DBH and other individual tree and stand level variables such as tree age, site index, stand basal area, stand density and dominant and mean height. These are also known as composite models (Newton and Amponsah 2007). Group I models require only low sampling effort (Sáncheza et al 2003) and are usually locally applied (Soares and Tome 2002), whereas Group II models demand high sampling effort and are often applied regionally.…”
Section: Introductionmentioning
confidence: 99%
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“…In biological terms, α means the asymptotically maximum height, and β/2 corresponds to the infl exion point, in which the lower the coeffi cient, the smaller the diameters in which the asymptote is reached. Also, the model has a fi xed intercept of 1.3, which means that height is 1.3 when diameter equals zero, so this model could be characterized as constrained (NEWTON;AMPONSAH, 2007). Where: h is total tree height (m); d is tree diameter at breast height (cm); α and β are parameters estimated.…”
Section: Model Adjustedmentioning
confidence: 99%
“…As model developers, we expect to provide as much information about models errors (ZHANG, 1997;NEWTON;AMPONSAH, 2007) as possible, making a distinction between model accuracy (mean prediction error) and precision (model standard error) (VANCLAY et al, 1997), especially for model's end users (BRAND;HOLDAWAY, 1983). In order to do so, we provide the determination coeffi cient (R 2 ) [5] and root mean standard error (RMSE) [6] as precision measures.…”
Section: Model Assessmentmentioning
confidence: 99%