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Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Benchmark map of forest carbon stocks in tropical regions across three continents
Authors: Saatchi, Sassan S
Harris, Nancy L
Brown, Sandra
Lefsky, Michael A
Mitchard, Edward T A
Salas, William
Zutta, Brian R
Buermann, Wolfgang
Lewis, Simon L
Hagen, Stephen
Petrova, Silvia
White, Lee
Silman, Miles
Morel, Alexandra
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Keywords: forest biomass
forest height
microwave and optical imaging
error propagation
carbon cycling
Issue Date: Jun-2011
Publisher: National Academy of Sciences
Citation: Saatchi SS, Harris NL, Brown S, Lefsky MA, Mitchard ETA, Salas W, Zutta BR, Buermann W, Lewis SL, Hagen S, Petrova S, White L, Silman M & Morel A (2011) Benchmark map of forest carbon stocks in tropical regions across three continents, Proceedings of the National Academy of Sciences, 108 (24), pp. 9899-9904.
Abstract: Developing countries are required to produce robust estimates of forest carbon stocks for successful implementation of climate change mitigation policies related to reducing emissions from deforestation and degradation (REDD). Here we present a "benchmark" map of biomass carbon stocks over 2.5 billion ha of forests on three continents, encompassing all tropical forests, for the early 2000s, which will be invaluable for REDD assessments at both project and national scales. We mapped the total carbon stock in live biomass (above- and belowground), using a combination of data from 4,079 in situ inventory plots and satellite light detection and ranging (Lidar) samples of forest structure to estimate carbon storage, plus optical and microwave imagery (1-km resolution) to extrapolate over the landscape. The total biomass carbon stock of forests in the study region is estimated to be 247 Gt C, with 193 Gt C stored aboveground and 54 Gt C stored belowground in roots. Forests in Latin America, sub-Saharan Africa, and Southeast Asia accounted for 49%, 25%, and 26% of the total stock, respectively. By analyzing the errors propagated through the estimation process, uncertainty at the pixel level (100 ha) ranged from ±6% to ±53%, but was constrained at the typical project (10,000 ha) and national (>1,000,000 ha) scales at ca. ±5% and ca. ±1%, respectively. The benchmark map illustrates regional patterns and provides methodologically comparable estimates of carbon stocks for 75 developing countries where previous assessments were either poor or incomplete.
Type: Journal Article
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Affiliation: California Institute of Technology
Winrock International
Winrock International
Colorado State University
University of Edinburgh
Applied GeoSolutions, NC, USA
University of California, Los Angeles
University of California, Los Angeles
University of Leeds
Applied GeoSolutions, NC, USA
Winrock International
Biological and Environmental Sciences
Wake Forest University
University of Oxford

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