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DOI10.1126/science.aau3445
Classifying drivers of global forest loss
Curtis, Philip G.1; Slay, Christy M.1; Harris, Nancy L.2; Tyukavina, Alexandra3; Hansen, Matthew C.3
发表日期2018
ISSN0032-2687
卷号361期号:6407页码:1108-1111
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.


语种英语
WOS记录号WOS:000444513300039
来源期刊SCIENCE
来源机构世界资源研究所
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/56115
作者单位1.Univ Arkansas, Sustainabil Consortium, Fayetteville, AR 72701 USA;
2.World Resources Inst, 10 G St NE, Washington, DC 20002 USA;
3.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
推荐引用方式
GB/T 7714
Curtis, Philip G.,Slay, Christy M.,Harris, Nancy L.,et al. Classifying drivers of global forest loss[J]. 世界资源研究所,2018,361(6407):1108-1111.
APA Curtis, Philip G.,Slay, Christy M.,Harris, Nancy L.,Tyukavina, Alexandra,&Hansen, Matthew C..(2018).Classifying drivers of global forest loss.SCIENCE,361(6407),1108-1111.
MLA Curtis, Philip G.,et al."Classifying drivers of global forest loss".SCIENCE 361.6407(2018):1108-1111.
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