# Kuyah et al. 2016: Allometric Models Based on Bayesian Frameworks Give Better Estimates of Aboveground Biomass in the Miombo Woodlands

Kuyah, S., Sileshi, G. W., & Rosenstock, T. S. (2016). Allometric Models Based on Bayesian Frameworks Give Better Estimates of Aboveground Biomass in the Miombo Woodlands. Forests, 7(2), 13.

- DOI: https://doi.org/10.3390/f7020013
- Access: open access
- Copy we read: https://www.mdpi.com/1999-4907/7/2/13/htm
- Status: no retraction or correction notice recorded (Crossref is asked weekly); last checked 2026-11-02
- Page: https://treeallometry.org/sources/kuyah-2016/

## Equations from this source (2)

### Miombo mixed-species AGB from DBH, Bayesian (Model 1)

Aboveground biomass for 33 miombo woodland tree species, Malawi. Inputs: DBH. DBH 5.1–105 cm. 88 trees.

As printed (Table 4 caption):

> AGB = 0.102 * DBH2.242 (Model 1)

Page: https://treeallometry.org/equations/kuyah-2016-model1-bayes/

### Miombo mixed-species AGB from DBH, OLS (Model 2)

Aboveground biomass for 33 miombo woodland tree species, Malawi. Inputs: DBH. DBH 5.1–105 cm. 88 trees.

As printed (Table 4 caption):

> AGB = 0.143 * DBH2.271 (Model 2)

Page: https://treeallometry.org/equations/kuyah-2016-model2-ols/