z-logo
open-access-imgOpen Access
Evaluating the Potential of Commercial Forest Inventory Data to Report on Forest Carbon Stock and Forest Carbon Stock Changes for REDD+ under the UNFCCC
Author(s) -
Danae Maniatis,
Yadvinder Malhi,
Laurent SaintAndré,
Danilo Mollicone,
Nicolas Barbier,
Sassan Saatchi,
Matieu Henry,
Laurent C. A. M. Tellier,
Mathieu Schwartzenberg,
Lee White
Publication year - 2011
Publication title -
international journal of forestry research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.314
H-Index - 8
eISSN - 1687-9376
pISSN - 1687-9368
DOI - 10.1155/2011/134526
Subject(s) - carbon stock , environmental science , stock (firearms) , forest inventory , logging , context (archaeology) , forestry , forest management , agroforestry , climate change , geography , ecology , archaeology , biology
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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom