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International Journal of Forestry Research
Volume 2011 (2011), Article ID 134526, 13 pages
http://dx.doi.org/10.1155/2011/134526
Research Article

Evaluating the Potential of Commercial Forest Inventory Data to Report on Forest Carbon Stock and Forest Carbon Stock Changes for REDD+ under the UNFCCC

1School of Geography and the Environment, Environmental Change Institute, University of Oxford, Dyson Perrins Building, South Parks Road, Oxford OX1 3QY, UK
2Food and Agricultural Organisation of the United Nations, UN-REDD Programme, Viale delle Terme di Caracalla, 00153 Rome, Italy
3Inra, UR BEF, Biogéochimie des Ecosystèmes Forestiers, 54280 Champenoux, France
4Cirad, UMR Eco&Sols, Ecologie Fonctionnelle & Biogéochimie des Sols & Agroécosystèmes (Montpellier SupAgro-CIRAD-INRA-IRD), 34060 Montpellier, France
5Botany and Computational Plant Architecture, UMR IRD-AMAP, 34398 Montpellier, France
6Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
7Laboratorio di Ecologia Forestale, Di.S.A.F.Ri, Facoltà di Agraria, Università degli Studi della Tuscia, Via Camillo de Lellis, snc, 01100 Viterbo, Italy
8GEEFT, AgroParisTech-ENGREF, 648 rue Jean-François Breton, BP 7355, 34086 Montpellier, France
9Institut de Recherche pour le Développement (IRD), UMR Eco&Sols, SupAgro, Bâtiment 12, 2 place Viala, 34060 Montpellier, Cedex 1, France
10Sylvafrica Ltda, BP 1888, Immeuble Océane, Carrefour Saoti, Quartier Haut Gué Gué, Libreville, Gabon
11TEREA, Résidence Nkové, Bâtterie IV, BP 831, Libreville, Gabon
12Agence Nationale des Parcs Nationaux, Présidence de la République, BP 20379, Libreville, Gabon

Received 8 July 2010; Accepted 18 January 2011

Academic Editor: Guofan Shao

Copyright © 2011 Danae Maniatis et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.