气候变化领域集成服务门户(CCPortal): Tropical deforestation drivers and associated carbon emission factors derived from remote sensing data

CCPortal

DOI	10.1088/1748-9326/ab3dc6
	Tropical deforestation drivers and associated carbon emission factors derived from remote sensing data
	De Sy V.; Herold M.; Achard F.; Avitabile V.; Baccini A.; Carter S.; Clevers J.G.P.W.; Lindquist E.; Pereira M.; Verchot L.
发表日期	2019
ISSN	17489318
卷号	14 期号:9
英文摘要	Reducing emissions from deforestation and forest degradation, and enhancing carbon stocks (REDD+) is a crucial component of global climate change mitigation. Remote sensing can provide continuous and spatially explicit above-ground biomass (AGB) estimates, which can be valuable for the quantification of carbon stocks and emission factors (EFs). Unfortunately, there is little information on the fate of the land following tropical deforestation and of the associated carbon stock. This study quantified post-deforestation land use across the tropics for the period 1990-2000. This dataset was then combined with a pan-tropical AGB map at 30 m resolution to refine EFs from forest conversion by matching deforestation areas with their carbon stock before and after clearing and to assess spatial dynamics of EFs by follow-up land use. In Latin America, pasture was the most common follow-up land use (72%), with large-scale cropland (11%) a distant second. In Africa deforestation was often followed by small-scale cropping (61%) with a smaller role for pasture (15%). In Asia, small-scale cropland was the dominant agricultural follow-up land use (35%), closely followed by tree crops (28%). Deforestation often occurred in forests with lower than average carbon stocks. EFs showed high spatial variation within eco-zones and countries. While our EFs are only representative for the studied time period, our results show that EFs are mainly determined by the initial forest carbon stock. The estimates of the fraction of carbon lost were less dependent on initial forest biomass, which offers opportunities for REDD+ countries to use these fractions in combination with recent good quality national forest biomass maps or inventory data to quantify emissions from specific forest conversions. Our study highlights that the co-location of data on forest loss, biomass and fate of the land provides more insight into the spatial dynamics of land-use change and can help in attributing carbon emissions to human activities. © 2019 The Author(s). Published by IOP Publishing Ltd.
语种	英语
scopus关键词	Biomass; Climate change; Composting; Crops; Deforestation; Land use; Remote sensing; Tropics; Above ground biomass; Carbon emission factors; Forest degradation; Global climate changes; Reducing emissions; Remote sensing data; Spatial variations; Tropical deforestation; Carbon; carbon emission; climate change; deforestation; global climate; land use; satellite data; spatial variation; Africa; Asia; Latin America
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/154374
作者单位	Laboratory of Geo-Information Science and Remote Sensing, Wageningen University, Droevendaalsesteeg 3, Wageningen, 6708 PB, Netherlands; European Commission, Joint Research Centre (JRC), Ispra, Italy; Woods Hole Research Center, Falmouth, MA, United States; Food and Agriculture Organisation of the United Nations (FAO), Rome, Italy; Center for International Forestry Research (CIFOR), Bogor, Indonesia
推荐引用方式 GB/T 7714	De Sy V.,Herold M.,Achard F.,et al. Tropical deforestation drivers and associated carbon emission factors derived from remote sensing data[J],2019,14(9).
APA	De Sy V..,Herold M..,Achard F..,Avitabile V..,Baccini A..,...&Verchot L..(2019).Tropical deforestation drivers and associated carbon emission factors derived from remote sensing data.Environmental Research Letters,14(9).
MLA	De Sy V.,et al."Tropical deforestation drivers and associated carbon emission factors derived from remote sensing data".Environmental Research Letters 14.9(2019).