Skip to main content
padlock icon - secure page this page is secure

Assessing Uncertainty: Sample Size Trade-Offs in the Development and Application of Carbon Stock Models

The full text article is temporarily unavailable.

We apologise for the inconvenience. Please try again later.

Many parties to the United Nation's Framework Convention on Climate Change (UNFCCC) base their reporting of change in Land Use, Land-Use Change and Forestry (LULUCF) sector carbon pools on national forest inventories. A strong feature of sample-based inventories is that very detailed measurements can be made at the level of plots. Uncertainty regarding the results stems primarily from the fact that only a sample, and not the entire population, is measured. However, tree biomass on sample plots is not directly measured but rather estimated using regression models based on allometric features such as tree diameter and height. Estimators of model parameters are random variables that exhibit different values depending on which sample is used for estimating model parameters. Although sampling error is strongly influenced by the sample size when the model is applied, modeling error is strongly influenced by the sample size when the model is under development. Thus, there is a trade-off between which sample sizes to use when applying and developing models. This trade-off has not been studied before and is of specific interest for countries developing new national forest inventories and biomass models in the REDD+ context. This study considers a specific sample design and population. This fact should be considered when extrapolating results to other locations and populations.
No References
No Citations
No Supplementary Data
No Article Media
No Metrics

Keywords: Land Use; Land-Use Change and Forestry (LULUCF); UN Framework Convention on Climate Change (UNFCCC); model error; model-dependent inference; national forest inventory

Document Type: Research Article

Publication date: August 9, 2017

This article was made available online on May 4, 2017 as a Fast Track article with title: "Assessing Uncertainty—Sample Size Trade-Offs in the Development and Application of Carbon Stock Models".

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect 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