{{menu_nowledge_desc}}.

CIFOR–ICRAF publishes over 750 publications every year on agroforestry, forests and climate change, landscape restoration, rights, forest policy and much more – in multiple languages.

CIFOR–ICRAF addresses local challenges and opportunities while providing solutions to global problems for forests, landscapes, people and the planet.

We deliver actionable evidence and solutions to transform how land is used and how food is produced: conserving and restoring ecosystems, responding to the global climate, malnutrition, biodiversity and desertification crises. In short, improving people’s lives.

Generic allometric models including height best estimate forest biomass and carbon stocks in Indonesia

Export citation

The choice of an appropriate allometric model is a critical step in reducing uncertainties in forest biomass stock estimates. With large greenhouse gases emissions due to deforestation, a systematic assessment and comparison of the models available in Indonesia is crucial for accurate assessments of forest carbon stocks and implementing REDD+ projects. In the present study, we compared the ability of two regional and two generic (pantropical) allometric models to estimate biomass at both tree and plot levels. We showed that regional models had lower performance in estimating tree biomass, with greater bias (-31-8%) and higher AIC (177-204), compared to generic models (bias: --2-2%; AIC: 57-67). At the plot level, the regional models underestimated biomass stocks by 0-40% compared to the best generic model. The error in plot biomass stocks associated to models relying solely upon DBH ranged between -- 5 and +15%. The integration of tree height estimated regionally resulted in an overestimate of 5-10% in unmanaged forests. Despite the difficulty to accurately assess tree heights in tropical forests, integrating all or part of them in biomass assessment can reduce uncertainties.
Download:

DOI:
https://doi.org/10.1016/j.foreco.2013.07.013
Altmetric score:
Dimensions Citation Count:

Related publications