Aboveground biomass relationships for beech (<i>Fagus moesiaca</i> Cz.) 
trees in Vermio Mountain, Northern Greece, and generalised 
equations for <i>Fagus</i> sp.

Zianis, Dimitris; Mencuccini, Maurizio

doi:10.1051/forest:2003036

Cited by 88 publications

(95 citation statements)

References 29 publications

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“…2) [19]. When this situation exists, it implies that values of B can be measured more precisely at low than at high values of D. Even though the logarithmic equation is mathematically equivalent to equation (1), the same is not true in a statistical sense [13,18]. In fact, using equation (9) produces a systematic overestimation of the dependent variable B when converting ln (B) back to the original scale B.…”

Section: Choosing a Functional Form For Volume And Allometric Equationsmentioning

confidence: 99%

“…All species together are reported. an over-estimation of the biomass [13,18]. Anyway, the logtransform equation is useful to test differences among species also because a lot of authors used this procedure to elaborate allometric equations.…”

Section: Discussionmentioning

confidence: 99%

“…(9)) to estimate a and b by least square procedure. To avoid the over-estimation of B using the calculated coefficients, if one assumes an additive error term in the original data, then predictions should be based on nonlinear functions [13,18]. So, in the second step, the two parameters in equation (1) were determined performing a non-linear regression by a modified GaussNewton iterative method in STATA 7.0 ( © STATA Corporation, College Station, Texas, USA).…”

Section: Choosing a Functional Form For Volume And Allometric Equationsmentioning

confidence: 99%

“…reported for spruce, fir and beech stands in Alps and Prealps [3,9,18], no data are reported for mixed ash stands [5,14]. As said above, because above-ground biomass is one of the most important component of total ecosystem biomass, this paper has focused on species-specific allometric equations for mixed ash secondary forests and in particular the main objectives were: (a) to characterize wood density and its variation with height; (b) to obtain an equation for predicting wood volume; (c) to obtain allometric equations for predicting total biomass and biomass of the different tree fractions (i.e.…”

Section: Introductionmentioning

confidence: 99%

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Aboveground biomass relationships for mixed ash (Fraxinus excelsior L. and Ulmus glabra Hudson) stands in Eastern Prealps of Friuli Venezia Giulia (Italy)

et al. 2005

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-About 5% of forest area of Friuli Venezia Giulia (Italy) is covered by mixed ash stands. In most cases, these are secondary forest established on former pastures and grasslands in the last fifty years and they constitute an important resource from an economic point of view. This paper presents allometric equations describing tree size-shape relationships for ash (Fraxinus excelsior L.) and wych elm (Ulmus glabra Hudson). Diameter at breast height explained most of the variability of the dependent variables (total stem volume, total aboveground, stem, branches and leaves biomass). Wood density variations with stem height and leaf area index (LAI) were also investigated. biomass / LAI / allometric equation / Fraxinus excelsior / Ulmus glabra Résumé -Biomasse aérienne chez des peuplements mélangés de frêne (Fraxinus excelsior L. et Ulmus glabra Hudson) dans les Préalpes de Friuli Venezia Giulia (Italie).Environ 5 % de la surface forestière de Friuli Venezia Giulia (Italie) est constituée de peuplements de frêne en mélange avec d'autres essences. Dans la plupart des cas, ce sont des forêts secondaires installées sur des pâturages et des prairies au cours des cinquante dernières années. Elles constituent une importante ressource économique. Cet article présente les équations allométriques pour l'estimation de la biomasse aérienne pour le frêne (Fraxinus excelsior L.) et pour l'orme de montagne (Ulmus glabra Hudson). Le diamètre à hauteur de poitrine explique la majeure partie de la variabilité des variables suivantes: volume total de la tige, biomasse aérienne totale, biomasse de la tige, biomasse des branches et des feuilles. La variation de la densité de la tige avec la hauteur et l'indice foliaire (LAI) ont aussi été considérés.biomasse / LAI / équations allométriques / Fraxinus excelsior / Ulmus glabra

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Section: Choosing a Functional Form For Volume And Allometric Equationsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Choosing a Functional Form For Volume And Allometric Equationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Aboveground biomass relationships for mixed ash (Fraxinus excelsior L. and Ulmus glabra Hudson) stands in Eastern Prealps of Friuli Venezia Giulia (Italy)

et al. 2005

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“…The statement was supported by the correlation results where it is proven that Dbh was strongly correlated with AGB compared to height ( Table 2). The AGB equations clearly showed that seven out of eight provenances of this study showed that Dbh was the main factor supporting the equations which was actually similar to Zianis and Mencuccini (2002) on Fagus sylvatica. Interestingly, there was higher amount of AGB being showed lower by R 2 compared with the lower amount of AGB in A. mangium.…”

Section: Correlations and Biomass Equationsmentioning

confidence: 63%

Aboveground Biomass of Selected Provenances of Acacia Mangium and Acacia Aulacocarpa Multiple-leadered Trees

Mat¹,

Shukor²,

Hamzah³

et al. 2009

JAS

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Acacia mangium Willd. and Acacia aulacocarpa A. Cunn Ex. Benth are two important Acacias for biomass production. Being multiple-leader (ML) and fast growing species, both species are the best bet for carbon sequestration and bio-energy supplementary. The main objective of this study was to assess the aboveground biomass and to derive aboveground biomass equations of these species and provenances. Destructive sampling was carried out with 36 samples per species and diameter at breast height (Dbh) and categorized into three classes namely small (11-15 cm), medium (16-20 cm) and big (21-25 cm) for A. mangium and 6-10 cm, 11-15 cm and 16-20 cm for A. aulacocarpa respectively. A. mangium from SW of Boset WP (PNG) produced 380.83 t/ha of aboveground biomass, Captain Billy Road (QLD), Bansbach WP (PNG) (224.44 t/ha) and Russel and Gap CK (QLD) (49.63 t/ha) while for A. aulacocarpa; provenance from Arufi E Morehead WP (PNG) (171.88 t/ha), W. Morehead (PNG) (150.90 t/ha), Samford (QLD) (63.87 t/ha) and 3K S Mt. Larcom (QLD) (25.32 t/ha) respectively.

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Prediction intervals: Placing real bounds on regression‐based allometric estimates of biomass

Ward

2015

Biometrical J

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Biomass allometry studies routinely assume that regression models can be applied across species and sites, and that goodness of fit of a regression model to its derivation dataset indicates both the relevance of the model to a new dataset and the likely error. Assuming that a model is relevant for a new sample, a prediction interval is a useful error measure for stand mass. Prediction coverage tests whether the model and hence the interval are appropriate in the new sample. Data for three similar shrubby species from four similar sites were combined in various ways to test the impact of varying levels of biodiverse heterogeneity on the performance of the four models most commonly used in published biomass studies. No one model performed consistently well predicting new data, and validation checks were not good indicators of prediction coverage. The highly variable results suggest that the common models might contain insufficient variables. Euclidean distance was used to quantify the relative similarity of samples as a possible means of estimating prediction coverage; it proved unsuccessful with these data.

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Aboveground biomass relationships for beech (Fagus moesiaca Cz.) trees in Vermio Mountain, Northern Greece, and generalised equations for Fagus sp.

Cited by 88 publications

References 29 publications

Aboveground biomass relationships for mixed ash (Fraxinus excelsior L. and Ulmus glabra Hudson) stands in Eastern Prealps of Friuli Venezia Giulia (Italy)

Aboveground biomass relationships for mixed ash (Fraxinus excelsior L. and Ulmus glabra Hudson) stands in Eastern Prealps of Friuli Venezia Giulia (Italy)

Aboveground Biomass of Selected Provenances of Acacia Mangium and Acacia Aulacocarpa Multiple-leadered Trees

Prediction intervals: Placing real bounds on regression‐based allometric estimates of biomass

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