2000
DOI: 10.1080/028275800750014975
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Generalized Allometric Regression to Estimate Biomass of Populus in Short-rotation Coppice

Abstract: Data from four different stands were combined to establish a single generalized allometric equation to estimate above-ground biomass of individual Populus trees grown on short-rotation coppice. The generalized model was performed using diameter at breast height, the mean diameter and the mean height of each site as dependent variables and then compared with the stand-specific regressions using F-test. Results showed that this single regression estimates tree biomass well at each stand and does not introduce bi… Show more

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Cited by 14 publications
(3 citation statements)
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References 14 publications
(16 reference statements)
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“…The precision of such allometric equations is generally sufficient for stem biomass components [254]. However, other examples of equations exist that include more predictive variables in the models, which can improve the precision of the estimations [11,47,205,[255][256][257][258]. Although specific genotype-level models provide the greatest precision, in cases where genotype identification is complicated, models for genotypes which are taxonomically close or taxonomic-specific models are often used.…”
Section: Productionmentioning
confidence: 99%
“…The precision of such allometric equations is generally sufficient for stem biomass components [254]. However, other examples of equations exist that include more predictive variables in the models, which can improve the precision of the estimations [11,47,205,[255][256][257][258]. Although specific genotype-level models provide the greatest precision, in cases where genotype identification is complicated, models for genotypes which are taxonomically close or taxonomic-specific models are often used.…”
Section: Productionmentioning
confidence: 99%
“…In other studies, many biomass or volume equations for hybrid poplar have been developed with additional predictor variables (e.g., tree height and/or planting density) used in combination with tree DBH [10,57,65]. However, the use of those additional predictor variables was not considered in this study, as it is not supported by the allometry theory, and because tree height and planting density were strongly correlated with DBH (for tree height r = 0.82, p < 0.001; for planting density, r = −0.64, p < 0.001).…”
Section: Allometric Equationsmentioning
confidence: 99%
“…Most of the biomass models for these plantations are site and genotype-specific models [18,19], and therefore their applicability is limited [20]. However, there are also examples of models developed for higher hierarchical levels [21][22][23]. In fact, the use of statistical models based on a wide range of empirical data has become more frequent due to the difficulty involved in extrapolating specific values to greater scales, given the wide variability in production [24][25][26].…”
Section: Introductionmentioning
confidence: 99%