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Evaluating the potential of commercial forest inventory data to report on forest carbon stock and forest carbon stock changes for REDD+ under the UNFCCC

机译:评估商业森林清单数据的潜力,以报告《联合国气候变化框架公约》下的REDD +的森林碳储量和森林碳储量变化

摘要

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 reoccurring 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 333Mgha-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 13Mgha-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. (Résumé d'auteur)
机译:在2010年第16次缔约方大会通过REDD +缓解机制的背景下,重要的是获得关于森林碳储量的时空变化和变化(称为排放因子,EF)的可靠数据。在估算REDD +的EF方面反复出现的争论是使用现有的现场测量数据。我们提供对商业伐木清单数据和生态数据使用情况的评估,以评估保守的EF(REDD +第2阶段)或按照IPCC指南和指南(REDD +第3阶段)报告EF。所提供的数据来自分布在加蓬的五家伐木公司,共计2240块0.3公顷的土地。我们根据植物区系条件区分了数据集中的三种森林类型(FTs)。 FTs中的估计平均地上生物量(AGB)在312至333Mgha-1之间。使用FT绘制的图数达到5%的精度,并且获得的采样不确定性较低(±10至13Mgha-1)。该数据可用于估计REDD +第2阶段的保守EF,而仅部分报告第3阶段第2层要求后的EF。(Résuméd'auteur)

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