Classifying drivers of global forest loss

被引:1322
作者
Curtis, Philip G. [1 ]
Slay, Christy M. [1 ]
Harris, Nancy L. [2 ]
Tyukavina, Alexandra [3 ]
Hansen, Matthew C. [3 ]
机构
[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
关键词
D O I
10.1126/science.aau3445
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
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.
引用
收藏
页码:1108 / 1111
页数:4
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