气候变化领域集成服务门户(CCPortal): Classifying drivers of global forest loss

CCPortal

DOI	10.1126/science.aau3445
	Classifying drivers of global forest loss
	Curtis P.G.; Slay C.M.; Harris N.L.; Tyukavina A.; Hansen M.C.
发表日期	2018
ISSN	0036-8075
起始页码	1108
结束页码	1111
卷号	361 期号:6407
英文摘要	Global maps of forest loss depict the scale and magnitude of forest disturbance,yet companies,governments,and nongovernmental organizations need to distinguish permanent conversion (i.e.,deforestation) from temporary loss from forestry or wildfire.Using satellite imagery,we developed a forest loss classification model to determine a spatial attribution of forest disturbance to the dominant drivers of land cover and land use change over the period 2001 to 2015.Our results indicate that 27% of global forest loss can be attributed to deforestation through permanent land use change for commodity production.The remaining areas maintained the same land use over 15 years; in those areas, loss was attributed to forestry (26%),shifting agriculture (24%),and wildfire (23%).Despite corporate commitments,the rate of commodity-driven deforestation has not declined.To end deforestation,companies must eliminate 5 million hectares of conversion from supply chains each year. ©The Authors.
英文关键词	deforestation; environmental disturbance; forestry production; habitat loss; land cover; land use change; satellite imagery; spatiotemporal analysis; vegetation mapping; wildfire; article; deforestation; driver; forest; government; human; human experiment; land use; organization; satellite imagery; wildfire; agriculture; environmental protection; forestry; tree; Agriculture; Conservation of Natural Resources; Forestry; Forests; Satellite Imagery; Trees; Wildfires
语种	英语
来源期刊	Science
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/243447
作者单位	University of Arkansas, Sustainability Consortium, Fayetteville, AR 72701, United States; World Resources Institute, 10 G Street N.E., Washington, DC 20002, United States; Department of Geographical Sciences, University of Maryland, College Park, MD 20742, United States
推荐引用方式 GB/T 7714	Curtis P.G.,Slay C.M.,Harris N.L.,et al. Classifying drivers of global forest loss[J],2018,361(6407).
APA	Curtis P.G.,Slay C.M.,Harris N.L.,Tyukavina A.,&Hansen M.C..(2018).Classifying drivers of global forest loss.Science,361(6407).
MLA	Curtis P.G.,et al."Classifying drivers of global forest loss".Science 361.6407(2018).