Allometric equations for estimating the above-ground biomass in tropical lowland Dipterocarp forests

By T. M. Basuki, P. Laake, Andrew K. Skidmore, Y. Hussin. 2009

633 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/cb404f1ae3cdf8390c937b28732523f4c46ce670

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In Environmental Engineering

In Global and Planetary Change

In Nature and Landscape Conservation

Citations in the corpus

Allometric equations for aboveground biomass estimation of Olea europaea L. subsp. cuspidata in Mana Angetu Forest (2018, background): “Relationship between AGB and DBH. distribution among components of woody plants are also affected by many factors including plant architecture and morphology, age, climatic and edaphic factors, and forest management practices (Basuki et al. 2009; Ketterings et al. 2001).”
Manual for building tree volume and biomass allometric equations: from field measurement to prediction (2012, neutral): “In addition to this power model B = aDb and the second-order polynomial model B = a0 + a1D + a2D(2), and without pretending in any way to be exhaustive, the following biomass tables are also often found (Yamakura et al., 1986; Brown et al., 1989; Brown, 1997; Martinez-Yrizar et al., 1992; Araújo et ”
Allometric equation for predicting aboveground biomass of three tree species (2011, background): “On the contrary, authors such as Basuki et al. (2009) is of the opinion that pantropical biomass equations lead to significantly biased estimates of carbon stocks.”
Allometric equations for estimating tree aboveground biomass in evergreen broadleaf forests of Viet Nam (2016, methodology): “Due to the diverse nature of tropical forests, the development of species-specific equations is not realistic and researchers have instead commonly focused on generic multi-species models (e.g. Brown et al., 1989; Brown and Iverson, 1992; Brown, 1997; Brown et al., 2001; Ketterings et al., 2001; Bas”
Simultaneous estimation of above- and below-ground biomass in tropical forests of Viet Nam (2017, methodology): “Therefore, researchers have commonly focused on developing pan-tropical or generic multi-species models (e.g. Basuki et al., 2009; Brown, 1997; Chave et al., 2005, 2014; IPCC, 2003).”
Allometric Equations for Estimating Carbon Stocks in Natural Forest in New Zealand (2012, background): “Various other researchers have compared allometric equations they developed for estimating above-ground biomass in tropical forest [30,31] with the pan-tropical equations developed by Chave et al.”
Aboveground biomass partitioning and additive models for Combretum glutinosum and Terminalia laxiflora in West Africa (2018, methodology): “The most accurate and direct method of estimating tree biomass is destructive sampling [10].”
A Three-Step Proportional Weighting System of Nonlinear Biomass Equations (2015, methodology): “…to the biomass data, require only basic forest inventory data to apply in practice, and usually provide reasonably accurate predictions for many species and regions (Ter-Mikaelian and Korzukhin 1997, Jenkins et al. 2003, Lambert et al. 2005, Sierra et al. 2007, Basuki et al. 2009, Návar 2009b).”
Developing Two Additive Biomass Equations for Three Coniferous Plantation Species in Northeast China (2016, background): “, Equation (1)), easy to fit to biomass data, requires only basic forest inventory data to apply in practice, and usually provides reasonably accurate predictions for many species and regions [11,14,19,55].”
Amazon palm biomass and allometry (2013, methodology): “While many models have been developed to estimate the biomass of dicotyledonous (dicot) trees (e.g., Brown et al., 1989; Baker et al., 2004; Chave et al., 2005; Basuki et al., 2009; Alvarez et al., 2012; Feldpausch et al., 2012), there are few available to estimate palm biomass.”