Classifying drivers of global forest loss
Mapping global deforestation patterns
Forest loss is being driven by various factors, including commodity production, forestry, agriculture, wildfire, and urbanization. Curtis et al. used high-resolution Google Earth imagery to map and classify global forest loss since 2001. Just over a quarter of global forest loss is due to deforestation through permanent land use change for the production of commodities, including beef, soy, palm oil, and wood fiber. Despite regional differences and efforts by governments, conservationists, and corporations to stem the losses, the overall rate of commodity-driven deforestation has not declined since 2001.
Science, this issue p. 1108
Abstract
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.
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Supplementary Material
Summary
Materials and Methods
Figs. S1 to S10
Tables S1 to S7
Data S1 to S4
Resources
References and Notes
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29
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30
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Information & Authors
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Published In
Science
Volume 361 | Issue 6407
14 September 2018
14 September 2018
Copyright
Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.
This is an article distributed under the terms of the Science Journals Default License.
Submission history
Received: 31 May 2018
Accepted: 14 August 2018
Published in print: 14 September 2018
Acknowledgments
We thank M. Maier, A. Chao, M. Millstein, and J. Paltseva for their contributions to this project in its early stages of development; P. V. Potapov for the tree cover loss and gain data that were so integral to this project; the members of The Sustainability Consortium for their financial support; and L. Goldman for her cartographic assistance in creating figures for the paper and for calculating map-based summary statistics. Funding: This project was funded by The Sustainability Consortium. The World Resources Institute provided additional resources to the project. Author contributions: P.G.C.: conceptualization, formal analysis, methodology, validation, visualization, and writing; C.M.S.: conceptualization, funding acquisition, project administration, supervision, and writing; N.L.H.: methodology, resources, project administration, and writing; A.T.: methodology, validation, and writing; M.C.H.: writing. Competing interests: Authors declare no competing interests. Data and materials availability: All data are available in the main text or the supplementary materials.
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