Evaluating the potential of commercial forest inventory data to report on forest carbon stock and forest carbon stock changes for REDD+ under the UNFCCC
| Autor: | Matieu Henry, Danae Maniatis, Laurent Tellier, Yadvinder Malhi, Nicolas Barbier, Laurent Saint Andre, Sassan Saatchi, Danilo Mollicone, Lee J. T. White, Mathieu Schwartzenberg |
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| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: |
Carbone
Article Subject lcsh:QH1-199.5 Stockage Inventory data Ecological data Context (language use) Plant Science forêt tropicale lcsh:General. Including nature conservation geographical distribution Environmental protection Biomasse lcsh:Forestry Ecology Evolution Behavior and Systematics Carbon stock Nature and Landscape Conservation Forest inventory U10 - Informatique mathématiques et statistiques Logging Inventaire forestier Sampling (statistics) Forestry Plantation forestière K10 - Production forestière séquestration du carbone réduction des émissions Environmental science lcsh:SD1-669.5 P01 - Conservation de la nature et ressources foncières Aboveground biomass Modèle mathématique |
| Zdroj: | International Journal of Forestry Research International Journal of Forestry Research, Vol 2011 (2011) |
| Popis: | In the context of the adoption at the 16th Conference of the Parties in 2010 on the REDD+ mitigation mechanism, it is important to obtain reliable data on the spatiotemporal variation of forest carbon stocks and changes (called Emission Factor, EF). A re-occurring debate in estimating EF for REDD+ is the use of existing field measurement data. We provide an assessment of the use of commercial logging inventory data and ecological data to estimate a conservative EF (REDD+ phase 2) or to report on EF following IPCC Guidance and Guidelines (REDD+ phase 3). The data presented originate from five logging companies dispersed over Gabon, totalling 2,240 plots of 0.3 hectares.We distinguish three Forest Types (FTs) in the dataset based on floristic conditions. Estimated mean aboveground biomass (AGB) in the FTs ranges from 312 to 333 Mg ha−1. A 5% accuracy is reached with the number of plots put in place for the FTs and a low sampling uncertainty obtained (± 10 to 13 Mg ha−1). The data could be used to estimate a conservative EF in REDD+ phase 2 and only partially to report on EF following tier 2 requirements for a phase 3. |
| Databáze: | OpenAIRE |
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