Skip to main content

Using Bayesian Model Averaging to Predict Tree Aboveground Biomass in Tropical Moist Forests

Buy Article:

$29.50 plus tax (Refund Policy)

Abstract:

With the growing interest in estimating carbon stocks in forests, available allometric equations have been compiled. These compilations often reveal contrasting models for the same species and site. Rather than choosing a model with the risk of not selecting the best available one, Bayesian model averaging (BMA) offers a way to combine different allometric equations into a single predictive model. In the deterministic version of BMA, existing models with known coefficients are combined. In the statistical version, competing models are at the same time fitted and combined. Using the BMA of deterministic models, we combined three existing multispecies pan-tropical biomass equations for tropical moist forests. The resulting model brought a relatively minor although consistent improvement of the predictions of the aboveground dry biomass of trees. These three models were particular cases of a family of models that were subsequently combined using the BMA of statistical models. Again, the resulting model was able to capture features in the biomass response to diameter that no single model was able to fit. BMA thus is an alternative to model selection that allows integrating the biomass response from different models.

Keywords: allometric equation; biomass equation; ensemble of models; multimodel inference; tropical forest

Document Type: Research Article

DOI: http://dx.doi.org/10.5849/forsci.10-083

Publication date: February 1, 2012

More about this publication?
  • Membership Information
  • ingentaconnect is not responsible for the content or availability of external websites
saf/fs/2012/00000058/00000001/art00002
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more