globalchange  > 过去全球变化的重建
DOI: 10.1371/journal.pone.0146357
论文题名:
Synthesizing Global and Local Datasets to Estimate Jurisdictional Forest Carbon Fluxes in Berau, Indonesia
作者: Bronson W. Griscom; Peter W. Ellis; Alessandro Baccini; Delon Marthinus; Jeffrey S. Evans; Ruslandi
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2016
发表日期: 2016-1-11
卷: 11, 期:1
语种: 英语
英文关键词: Forests ; Carbon sequestration ; Carbon dioxide ; Trees ; Monte Carlo method ; Wetlands ; Oil palm ; Agriculture
英文摘要: Background Forest conservation efforts are increasingly being implemented at the scale of sub-national jurisdictions in order to mitigate global climate change and provide other ecosystem services. We see an urgent need for robust estimates of historic forest carbon emissions at this scale, as the basis for credible measures of climate and other benefits achieved. Despite the arrival of a new generation of global datasets on forest area change and biomass, confusion remains about how to produce credible jurisdictional estimates of forest emissions. We demonstrate a method for estimating the relevant historic forest carbon fluxes within the Regency of Berau in eastern Borneo, Indonesia. Our method integrates best available global and local datasets, and includes a comprehensive analysis of uncertainty at the regency scale. Principal Findings and Significance We find that Berau generated 8.91 ± 1.99 million tonnes of net CO2 emissions per year during 2000–2010. Berau is an early frontier landscape where gross emissions are 12 times higher than gross sequestration. Yet most (85%) of Berau’s original forests are still standing. The majority of net emissions were due to conversion of native forests to unspecified agriculture (43% of total), oil palm (28%), and fiber plantations (9%). Most of the remainder was due to legal commercial selective logging (17%). Our overall uncertainty estimate offers an independent basis for assessing three other estimates for Berau. Two other estimates were above the upper end of our uncertainty range. We emphasize the importance of including an uncertainty range for all parameters of the emissions equation to generate a comprehensive uncertainty estimate–which has not been done before. We believe comprehensive estimates of carbon flux uncertainty are increasingly important as national and international institutions are challenged with comparing alternative estimates and identifying a credible range of historic emissions values.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0146357&type=printable
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/25457
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: The Nature Conservancy, 4245 N Fairfax Dr., Arlington, Virginia, United States of America;Department of Biology, James Madison University, Harrisonburg, Virginia, United States of America;The Nature Conservancy, 4245 N Fairfax Dr., Arlington, Virginia, United States of America;The Woods Hole Research Center, 149 Woods Hole Road, Falmouth, Massachusetts, United States of America;The Nature Conservancy, Graha Iskandarsyah 3rd Floor Jl. Iskandarsyah Raya No. 66 C Jakarta, Indonesia;The Nature Conservancy, Fort Collins, Colorado, United States of America;Department of Zoology and Physiology, University of Wyoming, Laramie, Wyoming, United States of America;University of Florida, Gainesville, Florida, United States of America

Recommended Citation:
Bronson W. Griscom,Peter W. Ellis,Alessandro Baccini,et al. Synthesizing Global and Local Datasets to Estimate Jurisdictional Forest Carbon Fluxes in Berau, Indonesia[J]. PLOS ONE,2016-01-01,11(1)
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