
This dataset contains estimates of commodity-driven deforestation and associated carbon emissions for the period 2001-2023, estimated by the Deforestation Driver and Carbon Emission (DeDuCE) model (Singh & Persson 2026, https://doi.org/10.1038/s43016-026-01305-4), which combines remote sensing data on forest loss and land-use with agricultural statistics to identify and attribute deforestation across the world to expansion of cropland, pastures and forest plantation, and the commodities produced on this land. This also contains data on deforestation embodied in the production, exports, imports, and consumption of agricultural and forestry commodities by country, year, and commodity for the time period 2005-2023 derived using physical and monetary trade models. For the possibility to interact with the data, selecting subsets of producer countries, commodities, and trade partners, seeing the data visualized, and being able to download the data of your choice, please visit the DeDuCE data dashboard. Here you can also learn more about the DeDuCE data, browse Frequently Asked Questions, and subscribe to update notifications.
land-use change, deforestation, carbon emissions, agricultural trade
land-use change, deforestation, carbon emissions, agricultural trade
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
