Additive biomass equations for native eucalypt forest trees of temperate Australia

By Huiquan Bi, J. Turner, M. Lambert. Trees, 2004

208 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/88c552ce497a7dff24a95d52aa5983319fc33452

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. M. Río
2. Margarida Tomé
3. Lihu Dong
4. Fengri Li
5. Lianjun Zhang
6. G. Montero
7. R. Ruiz‐Peinado
8. J. Tomé

In Mechanical Engineering

1. Lihu Dong
2. Lianjun Zhang
3. Fengri Li
4. Margarida Tomé
5. M. Río
6. J. Tomé
7. R. Ruiz‐Peinado
8. G. Montero

In Nature and Landscape Conservation

1. G. Montero
2. M. Río
3. Margarida Tomé
4. Lihu Dong
5. Fengri Li
6. Lianjun Zhang
7. J. Tomé
8. R. Ruiz‐Peinado

Citations in the corpus

• General allometric equations and biomass allocation of Pinus massoniana trees on a regional scale in southern China (2011, methodology): “Seemingly unrelated regression (SUR) was therefore applied to fit tree and individual component biomass parameters in the form of a simultaneous system in order to force the addition of a set of biomass functions (Borders 1989; Parresol 1999; Bi et al. 2004).”
• Effect of tree, stand, and site variables on the allometry of Eucalyptus globulus tree biomass (2007, methodology): “Bi et al. (2004) report similar conclusions.”
• Biomass equations for birch in Finland (2008, methodology): “By applying a multivariate procedure (linear or non-linear seemingly unrelated regression) more reliable estimates can be produced for fixed parameters (Zellner 1962, Parresol 1999 and 2001, Carvalho et al. 2003, Bi et al. 2004, Návar et al. 2004).”
• Biomass models to estimate carbon stocks for hardwood tree species (2012, methodology): “The inclusion of height in the models improves the accuracy of biomass estimations (Bi et al., 2004; Joosten et al., 2004) and, hence, the models can be applied in a wider range of stands since height provides information on growth and site conditions (Wirth et al., 2004).”
• Correction factors for unbiased, efficient estimation and prediction of biomass from log-log allometric models (2013, methodology): “Also, weighted non-linear (or combined) allometric models have been used recently by numerous workers (e.g., Brown et al. 1989; Parresol 1999; Bi et al. 2004; Morote et al. 2012).”
• Developing Two Additive Biomass Equations for Three Coniferous Plantation Species in Northeast China (2016, methodology): “The advantages of using an additive system by SUR to estimate total, sub-total and components include: (1) prediction for the components’ biomass sum to the prediction for the total or sub-total biomass; (2) the inherent correlation among biomass components measured on the same sample trees is consi”
• A Three-Step Proportional Weighting System of Nonlinear Biomass Equations (2015, methodology): “Addition of tree height or height classes may significantly improve the performance of biomass models (Bi et al. 2004, Wang et al. 2006, Li and Zhao 2013).”