Minimizing Bias in Biomass Allometry: Model Selection and Log‐Transformation of Data

By Joseph Mascaro, C. Litton, R. F. Hughes, Amanda L. Uowolo, Stefan A. Schnitzer. 2011

90 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/b041ccd32e9f4529a460cad811e16dd3f219a836

How researchers see this paper

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

In Environmental Engineering

1. Bonaventure Sonké
2. Vivien Rossi
3. Pierre Couteron
4. Raphaël Pélissier
5. David A. Coomes
6. Tommaso Jucker

In Global and Planetary Change

1. Bonaventure Sonké
2. Olivier Bouriaud
3. Tommaso Jucker
4. Vivien Rossi
5. Uta Berger
6. David A. Coomes
7. M. Henry

In Nature and Landscape Conservation

1. Vivien Rossi
2. Bonaventure Sonké
3. Olivier Bouriaud
4. Tommaso Jucker
5. Pierre Couteron
6. Uta Berger
7. Raphaël Pélissier
8. David A. Coomes

Citations in the corpus

• Crown plasticity enables trees to optimize canopy packing in mixed-species forests (2015, methodology): “This consisted of multiplying predicted values by e (MSE/2) , where MSE is the mean square error of the regression, and is a necessary step to avoid systematic underprediction (Mascaro et al. 2011).”
• Closing a gap in tropical forest biomass estimation: taking crown mass variation into account in pantropical allometries (2016, methodology): “Although the dependence of error propagation on tree size distribution has already been raised (Magnabosco Marra et al., 2015; Mascaro et al., 2011), it is generally omitted from error propagation procedures (e.”