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|Title:||Indirect Methods of Large-scale Forest Biomass Estimation|
|Authors:||SOMOGYI Z.; CIENCIALA Emil; MAKIPAA Raisa; MUUKKONEN Per; LEHTONEN Aleksy; WEISS Peter|
|Citation:||EUROPEAN JOURNAL OF FOREST RESEARCH vol. 126 p. 197-207|
|JRC Publication N°:||JRC41687|
|Type:||Articles in Journals|
|Abstract:||Forest biomass and its change over time have been measured at both local and large scales, an example for the latter being forest greenhouse gas inventories. Currently used methodologies to obtain stock change estimates for large forest areas are mostly based on forest inventory information as well as various factors, referred to as biomass factors, or biomass equations, which transform diameter, height or volume data into biomass estimates. However, while forest inventories usually apply statistically sound sampling and can provide representative estimates for large forest areas, the biomass factors or equations used are, in most cases, not representative, because they are based on local studies. Moreover, their application is controversial due to the inconsistent or inappropriate use of definitions involved. There is no standardized terminology of the various factors, and the use of terms and definitions is often confusing. The present contribution aims at systematically summarizing the main types of biomass factors (BF) and biomass equations (BE) and providing guidance on how to proceed when selecting, developing and applying proper factors or equations to be used in forest biomass estimation. The contribution builds on the guidance given by the IPCC (Good practice guidance for land use, land-use change and forestry, 2003) and suggests that proper application and reporting of biomass factors and equations and transparent and consistent reporting of forest carbon inventories are needed in both scientific literature and the greenhouse gas inventory reports of countries.|
|JRC Institute:||Institute for Environment and Sustainability|
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