Tree allometry and improved estimation of carbon stocks and balance in tropical forests

By Jérôme Chave, A. Andalo', Ae S Brown, Ae M A Cairns, J. Chambers, A. Eamus, Ae H Foïster, Ae F Fromard, N. Higuchi, Ae T Kira and 13 more. Oecologia, 2005

3,552 citations recorded by the source corpus.

Subfields: Environmental Engineering, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/f0274bb5ef344ae12d9d23fb90baf6810d64f313

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Citations in the corpus

Carbon Content of Tree Tissues: A Synthesis (2012, neutral): “models [78,82].”
Tropical forest carbon assessment: integrating satellite and airborne mapping approaches (2009, methodology): “For example, Brown and Lugo (1984) estimate a 20% uncertainty in standlevel biomass estimates derived from forest volumes; Chave et al (2005) estimate standard errors in stand biomass of 12– 20%; and Keller et al (2001) reported up to 50% uncertainty in a very detailed, large-area biomass study in t”
Species-specific and general allometric equations for estimating tree biomass components of subtropical forests in southern China (2016, methodology): “At present, the increasing needs to quantify forest biomass and C stocks at the site, biogeographical region, national and global scales have promoted the development and compilation of allometric equations for tropical (Brown et al. 1989; Chave et al. 2005; Basuki et al. 2009), temperate (Ter-Mikae”
Minimizing Bias in Biomass Allometry: Model Selection and Log‐Transformation of Data (2011, methodology): “For trees, in particular, ideal allometry data are strongly heteroscedastic, exhibiting increasing variation in biomass with increasing diameter (Chave et al. 2005).”
Allometric equations for estimating tree aboveground biomass in evergreen broadleaf forests of Viet Nam (2016, background): “…variety of model forms such as power, logarithmic, and exponential functions (Brown, 1997; Ketterings et al., 2001; Jenkins et al., 2003, 2004; IPCC, 2003; Basuki et al., 2009; Dietz and Kuyah, 2011; Johannes and Shem, 2011; Chave et al., 2005, 2014; Henry et al., 2010, 2015; Huy et al., 2016a,b).”
Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges (2019, methodology): “Field-based biomass surveys have been conducted in mangrove forests for decades [109–112], and various studies have established allometric equations to estimate mangrove AGB from in situ measurements [113] and inventory data on stem weights, trees height, and DBH [111,114].”
Error propagation in biomass estimation in tropical forests (2013, methodology): “For example, some authors fixed the WSG coefficient to one for physical reasons (Chave et al. 2005).”
Allometric equations for aboveground biomass estimation of Olea europaea L. subsp. cuspidata in Mana Angetu Forest (2018, methodology): “Although the data used for their fits did not include any data from Africa, the pantropical allometric equations by Chave et al. (2005) are currently the most commonly used equations in Ethiopia.”
Reducing the error in biomass estimates strongly depends on model selection (2015, methodology): “At best, the variance (or confidence interval) of the estimate is given separately for each coefficient α, β, . . . , μ, a, b, c (Dorisca et al. 2011; Fayolle et al. 2013; Ngomanda et al. 2014), but this is not even always the case (e.g. Chave et al. 2005; Kearsley et al. 2013).”
Allometric Equations for Estimating Carbon Stocks in Natural Forest in New Zealand (2012, background): “[9] for tropical trees predicted above ground biomass carbon of our biomass trees surprisingly well in comparison with our natural forest equation.”
Biomass and aboveground net primary production in a subtropical mangrove stand of Kandelia obovata (S., L.) Yong at Manko Wetland, Okinawa, Japan (2009, methodology): “Sometimes convenient parameters, such as wood density and D are used to predict biomass (Chave et al. 2005).”
Seeing the forest beyond the trees (2015, methodology): “Mitchard et al. (2014) provided six estimates of biomass using the Chave et al. (2005) moist forest allometry with three or two parameters (D, H and ρ) to allow for variations in biomass estimation but did not include these differences as uncertainty in their analysis.”
Carbon sequestration through agroforestry in indigenous communities of Chiapas, Mexico (2009, background): “99 Chave et al. (2005)”