气候变化领域集成服务门户(CCPortal): Improving uncertainty in forest carbon accounting for REDD+ mitigation efforts

CCPortal

DOI	10.1088/1748-9326/abb96f
	Improving uncertainty in forest carbon accounting for REDD+ mitigation efforts
	Yanai R.D.; Wayson C.; Lee D.; Espejo A.B.; Campbell J.L.; Green M.B.; Zukswert J.M.; Yoffe S.B.; Aukema J.E.; Lister A.J.; Kirchner J.W.; Gamarra J.G.P.
发表日期	2020
ISSN	17489318
卷号	15 期号:12
英文摘要	Reductions in atmospheric concentrations of greenhouse gases are urgently needed to avoid the most catastrophic consequences of warming. Reducing deforestation and forest degradation presents a climate change mitigation opportunity critical to meeting Paris Agreement goals. One strategy for decreasing carbon emissions from forests is to provide developing countries with results-based financial incentives for reducing deforestation: nearly two billion dollars are currently committed to finance such programs, referred to as REDD+ (Reducing Emissions from Deforestation and forest Degradation, conservation, sustainable management of forests, and enhancement of forest carbon stocks). Countries participating in these programs must document the uncertainty in their estimates of emissions and emission reductions, and payments are reduced if uncertainties are high. Our examination of documentation submitted to date to the United Nations Framework Convention on Climate Change (UNFCCC) and the Forest Carbon Partnership Facility (FCPF) reveals that uncertainties are commonly underestimated, both by omitting important sources of uncertainty and by incorrectly combining uncertainties. Here, we offer recommendations for addressing common problems in estimating uncertainty in emissions and emission reductions. Better uncertainty estimates will enable countries to improve forest carbon accounting, contribute to better informed forest management, and support efforts to track global greenhouse gas emissions. It will also strengthen confidence in markets for climate mitigation efforts. Demand by companies for nature-based carbon credits is growing and if such credits are used for offsets, in exchange for fossil fuel emissions, it is essential that they represent accurately quantified emissions reductions. © 2020 The Author(s). Published by IOP Publishing Ltd.
英文关键词	carbon credits; forest carbon; Monte Carlo; REDD+; tropical deforestation; uncertainty estimation
语种	英语
scopus关键词	Carbon; Deforestation; Developing countries; Emission control; Environmental regulations; Fossil fuels; Gas emissions; Global warming; Greenhouse gases; Atmospheric concentration; Catastrophic consequences; Climate change mitigation; Fossil fuel emissions; Sources of uncertainty; Sustainable management; Uncertainty estimates; United nations framework convention on climate changes; Uncertainty analysis; accountability; carbon emission; emission control; environmental economics; forest ecosystem; mitigation; uncertainty analysis; Matthiola
来源期刊	Environmental Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/153468
作者单位	State University of New York, College of Environmental Science and Forestry, Syracuse, NY, United States; US Forest Service, International Programs, Washington, DC, United States; Independent consultant, Leadville, CO, United States; World Bank Group, Washington, DC, United States; US Forest Service, Northern Research Station, Durham, NH, United States; Case Western Reserve University, Cleveland, OH, United States; US Agency for International Development, Washington, DC, United States; US Forest Service, Forest Inventory and Analysis, York, PA, United States; ETH Zurich, Department of Environmental Systems Science, Zurich, Switzerland; Swiss Federal Research Institute WSL, Birmensdorf, Switzerland; Food and Agriculture Organization of the United Nations, Rome, Italy
推荐引用方式 GB/T 7714	Yanai R.D.,Wayson C.,Lee D.,et al. Improving uncertainty in forest carbon accounting for REDD+ mitigation efforts[J],2020,15(12).
APA	Yanai R.D..,Wayson C..,Lee D..,Espejo A.B..,Campbell J.L..,...&Gamarra J.G.P..(2020).Improving uncertainty in forest carbon accounting for REDD+ mitigation efforts.Environmental Research Letters,15(12).
MLA	Yanai R.D.,et al."Improving uncertainty in forest carbon accounting for REDD+ mitigation efforts".Environmental Research Letters 15.12(2020).