Reducing the error in biomass estimates strongly depends on model selection
By Nicolas Picard, Faustin Boyemba Bosela, Vivien Rossi. Annals of Forest Science, 2015
81 citations recorded by the source corpus.
Subfields: Environmental Engineering, Global and Planetary Change, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/9343c7cd70ab59b4969ccc105118efa89cd2dcdf
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
In Global and Planetary Change
In Nature and Landscape Conservation
- Bonaventure Sonké
- Vivien Rossi
- Pierre Couteron
- Uta Berger
- Raphaël Pélissier
- S. Mensah
- D. Goetze
- K. Dimobe
Citations in the corpus
- Aboveground biomass partitioning and additive models for Combretum glutinosum and Terminalia laxiflora in West Africa (2018, background): “This determines how accurate a given model estimates AGB for a particular vegetation [8,9].”
- 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.g., Picard et al., 2014; Moundounga Mavouroulou et al., 2014; Chen et al., 2015).”