Allometric equations for tree species and carbon stocks for forests of northwestern Mexico

By J. Návar. 2009

338 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/6bd6bbbb11306b9cdcc9383e943fb1eca8f138da

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In Global and Planetary Change

In Mechanical Engineering

In Nature and Landscape Conservation

Citations in the corpus

Species-specific and general allometric equations for estimating tree biomass components of subtropical forests in southern China (2016, background): “Tree species vary in their canopy architecture and wood density, and this affects allometric relationships (Chave et al. 2005; Návar 2009; Djomo et al. 2010; Guisasola et al. 2015).”
Biomass models to estimate carbon stocks for hardwood tree species (2012, background): “Models for branch biomass presented a lower predictive ability, probably due to the high variability observed in this component resulting from differences in stand density and tree competition stage (Návar, 2009).”
Effects of uncertainty in model predictions of individual tree volume on large area volume estimates (2014, background): “…United States (Jenkins et al. 2003), in Norway (Breidenbach et al. 2013), in New Zealand (Beets et al. 2012), and for many recent tropical applications (Brown et al. 1989, Ketterings et al. 2001, Chave et al. 2004, 2005, Litton and Kauffman 2008, Basuki et al. 2009, Kamelarczyk 2009, Návar 2009).”
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 ”
New models for estimating the carbon sink capacity of Spanish softwood species (2011, background): “Branch and foliage biomass are more dependent than bole biomass on tree competition and stand density, hence they present greater variability (Cole and Ewel, 2006; Návar, 2009).”
Simultaneous estimation of above- and below-ground biomass in tropical forests of Viet Nam (2017, methodology): “Since the publication of Parresol’s paper, SUR has been used by many researchers in fitting biomass equations (e.g. Lambert et al., 2005; Brandeis et al., 2006; Navar, 2009; Ritchie et al., 2013; Zhao et al., 2015; Poudel and Temesgen, 2016a).”
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).”