Developing general allometric relationships for regional estimates of carbon sequestration - an example using 'Eucalyptus pilularis' from seven contrasting sites

By K. Montagu, K. Duttmer, C. Barton, A. Cowie. 2005

166 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/bfc201f581b76fafc54f20473f655278b238d0bf

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In Environmental Engineering

In Global and Planetary Change

In Nature and Landscape Conservation

Citations in the corpus

Improved forest biomass estimates using ALOS AVNIR-2 texture indices (2011, background): “…and independent variables respectively in the least square regression model (InDW=a+ b⁎ InDBH) because without log transform, the data exhibits heteroscedasticity (i.e. the error variance is not constant across all observations) (Brown et al., 1989; Montagu et al., 2005; Overman et al., 1994).”
Effect of tree, stand, and site variables on the allometry of Eucalyptus globulus tree biomass (2007, background): “The measurement of tree and stand biomass is of considerable interest today for the study of ecosystem productivity, energy flow, or nutrient and carbon cycling (Verwijst and Telenius 1999; Parresol 1999; Brown 2002; Snowdon et al. 2002; Jenkins et al. 2003; Hart et al. 2003; Specht and West 2003; Z”
Allometric Models for Predicting Aboveground Biomass in Two Widespread Woody Plants in Hawaii (2008, background): “—Metrosideros polymorpha is a Hawaiian endemic, the only native dominant canopy species present in wet forests, and one of only two found in mesic forests (Mueller-Dombois 2006).”
Allometric equations for aboveground biomass estimation of Olea europaea L. subsp. cuspidata in Mana Angetu Forest (2018, background): “as the site greatly influences allometric relationships (Montagu et al. 2005).”
Generic biomass functions for Common beech (Fagus sylvatica) in Central Europe: predictions and components of uncertainty (2008, background): “…of the dh-models showed that the parameter tree height is an important additional predictor of biomass as observed in other studies for beech (Cienciala et al. 2006, Joosten et al. 2004, Zianis and Mencuccini 2003) as well as in studies of other species (Cienciala et al. 2006, Montagu et al. 2005).”
Species-specific and general allometric equations for estimating tree biomass components of subtropical forests in southern China (2016, methodology): “Since logarithmic transformation regression introduces inherently biased estimates of biomass (Montagu et al. 2005), the systematic bias was adjusted using a correction factor (CF) that was computed using Eq.”
General allometric equations and biomass allocation of Pinus massoniana trees on a regional scale in southern China (2011, background): “…consistent with findings from other studies in that a single dbh-based allometric equation provides a reasonable prediction for total aboveground (Montagu et al. 2005; Pajtı́k et al. 2008; Williams et al. 2005), root (Ouimet et al. 2008), Table 3 Regression coefficients with standard errors (in…”
Correction factors for unbiased, efficient estimation and prediction of biomass from log-log allometric models (2013, methodology): “Based on its low bias relative to these two other correction factors, Snowdon’s Ratio correction factor has been commonly applied in the field of tree allometrics (e.g., Montagu et al. 2005; Paul et al. 2008).”