Additivity of nonlinear biomass equations

By Bernard R. Parresol. 2001

379 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/f436de8cdc2f0c28bb99814fa78bdadf97e0955d

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In Global and Planetary Change

In Nature and Landscape Conservation

Citations in the corpus

Belowground and aboveground biomass in young postfire lodgepole pine forests of contrasting tree density (2003, background): “Parresol (2001) outlined two procedures that guarantee the © 2003 NRC Canada I:\cjfr\cjfr3302\X02-181.vp Tuesday, February 04, 2003 4:41:41 PM additivity of nonlinear biomass equations.”
Methods for estimating aboveground biomass and its components for Douglas-fir and lodgepole pine trees (2016, background): “However, it is desired that the prediction from component regression equations add to the prediction from the total tree regression model (Parresol 2001).”
Generic biomass functions for Common beech (Fagus sylvatica) in Central Europe: predictions and components of uncertainty (2008, methodology): “Hence, we separately fitted the models for the different biomass compartments and the derived biomass equations are not additive (Lambert et al. 2005, Parresol 2001).”
Allometric equations for tree species and carbon stocks for forests of northwestern Mexico (2009, methodology): “An approach such as NSUR was not feasible for the general allometric equation.”
Biomass equations for Scots pine and Norway spruce in Finland (2009, methodology): “In addition, one desirable feature of the tree components equations is biomass additivity, i.e. that the sum of the predictions for the tree component equals the prediction for the whole tree (Kozak 1974, Cunia and Briggs 1984, Parresol 1999, 2001).”
Correction factors for unbiased, efficient estimation and prediction of biomass from log-log allometric models (2013, background): “For example, other workers (Parresol 2001; Lambert et al. 2005) have found that modelling the error structure on the original data scale gives results as good as or even better than applying a transformation.”
Forest Growth and Yield Modeling (2011, background): “An interesting application of SUR is for ensuring additivity of individual equations, which is particularly important in biomass equations (Parresol, 2001).”
Biomass models to estimate carbon stocks for hardwood tree species (2012, methodology): “…was then biomass components through seemingly unrelated regressions (SUR) in order to observe the additive property between biomass components (Parresol, 1999; 2001) and weighted regression to avoid heterocedastic- ently since there were fewer samples for this fraction than for aboveground…”
Allometric relationships for below- and aboveground biomass of young Scots pines (2004, neutral): “For some recent reviews on the use of allometric relationships the reader is referred to Ter-Mikaelian and Korzukhin (1997), Parresol (1999, 2001) , and Zianis and Mencuccini (2004).”
Age-related equations for above- and below-ground biomass of a Eucalyptus hybrid in Congo (2005, positive): “The system of equations was thereafter fitted using the SUR regression (Proc MODEL of SAS software, package ETS; SAS, 1990) which fits the component equations all together and takes the cross-equation correlations into account (see Parresol, 2001 for a detailed example of this procedure).”