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 A high-resolution global map enables a classification of the main drivers of forest loss. 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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对全球森林损失的驱动因素进行分类

绘制全球森林砍伐模式 森林流失受各种因素驱动，包括商品生产、林业、农业、野火和城市化。柯蒂斯等人。自 2001 年以来，使用高分辨率的 Google 地球图像对全球森林损失进行绘图和分类。全球森林损失的四分之一以上是由于生产商品（包括牛肉、大豆、棕榈油和木材）而造成的永久性土地利用变化造成的森林砍伐纤维。尽管存在地区差异，政府、环保主义者和企业为阻止损失做出了努力，但自 2001 年以来，商品驱动的森林砍伐的总体速度并未下降。科学，本期第 3 页。1108 高分辨率全球地图可以对森林丧失的主要驱动因素进行分类。全球森林损失地图描绘了森林干扰的规模和程度，然而，公司、政府和非政府组织需要将永久性转变（即森林砍伐）与林业或野火造成的暂时损失区分开来。利用卫星图像，我们开发了森林损失分类模型，以确定 2001 年至 2015 年期间森林干扰对土地覆盖和土地利用变化的主要驱动因素的空间归因。我们的结果表明，全球森林损失的 27% 可归因于为了商品生产而通过永久性土地用途改变来砍伐森林。其余地区在 15 年内保持相同的土地用途；在这些地区，损失归因于林业（26%）、转移农业（24%）和野火（23%）。尽管企业做出了承诺，但商品驱动的森林砍伐率并未下降。为了结束森林砍伐，