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Classifying drivers of global forest loss
2.1K
Citations
11
References
2018
Year
EngineeringForest BiometricsLand UseForestryAgricultural EconomicsForest GovernanceSocial SciencesGlobal MapsForest Transition TheoryForest DisturbanceGeographyForest Health MonitoringGlobal Forest LossDeforestationReforestationForest-related IndustryNatural Resource ManagementLand ManagementForest Inventory
Global forest loss maps show disturbance scale, but stakeholders need to differentiate permanent deforestation from temporary loss, and companies must eliminate 5 million hectares of conversion annually to end deforestation. We used satellite imagery to build a classification model that attributes forest loss to dominant drivers from 2001 to 2015. The model attributes 27 % of global forest loss to commodity‑driven deforestation, with forestry, shifting agriculture, and wildfire accounting for 26 %, 24 %, and 23 % respectively, and shows that commodity‑driven deforestation rates have not declined.
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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