DeDuCE: Deforestation and carbon emissions due to agriculture and forestry activities from 2001-2023

Documentation

The manuscript detailing the model and the dataset is published at Nature Food: Singh, C., & Persson, U. M. Global patterns of commodity-driven deforestation and associated carbon emissions. Nat Food 7, 138–151 (2026). https://doi.org/10.1038/s43016-026-01305-4.

The insights from this dataset and future updates can also be viewed at: https://www.deforestationfootprint.earth.

Overview

This dataset provides country-level estimates of agriculture and forestry-driven deforestation and associated carbon emissions for the period 2001-2023, annually. A sub-national level attribution dataset is available for Brazil. Generated by the Deforestation Driver and Carbon Emission (DeDuCE) model, it amalgamates remotely sensed datasets with extensive agricultural statistics to estimate deforestation attributable to agricultural and forestry activities globally. Developed utilizing Google Earth Engine and Python, DeDuCE comprehensively covers over 9300+ unique country-commodity deforestation-carbon footprints across 180+ countries and 180+ commodities within the specified period, presenting an unmatched scope and granularity of data.

Repository contents

From this point onwards, this repository will no longer be updated. All content—and any future updates—will be maintained in the Zenodo dataset: Singh, C., Persson, U. M., Croft, S., Kastner, T., & West, C. D. (2026). Commodity-driven deforestation, associated carbon emissions and trade 2001-2023 (2.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18953516.

Contact

If you have any questions, you can contact us at:        

      Chandrakant Singh and U. Martin Persson         Email: [e-mail]         Physical Resource Theory, Department of Environmental and Energy Sciences,         Chalmers University of Technology, Gothenburg, Sweden

## 文档说明
本数据集与对应模型的研究论文已发表于《自然-食品》（*Nature Food*）：Singh, C. 与 Persson, U. M. 题为《全球商品驱动型森林砍伐及相关碳排放格局》的论文，*Nature Food* 7, 138–151 (2026)。DOI: 10.1038/s43016-026-01305-4。

本数据集的相关研究结论及后续更新内容可通过以下链接查看：https://www.deforestationfootprint.earth。

## 数据集概述
本数据集提供2001年至2023年的年度尺度数据，包含农业与林业驱动的森林砍伐及相关碳排放的国家级估算结果。巴西地区可获取次国家级归因数据集。
本数据集由森林砍伐驱动因子与碳排放（Deforestation Driver and Carbon Emission, DeDuCE）模型生成，该模型融合遥感数据集与海量农业统计数据，对全球范围内农业与林业活动引发的森林砍伐进行量化估算。DeDuCE模型基于Google Earth Engine与Python开发，在所限定的研究时段内，完整覆盖180余个国家、180余种商品的9300余组独特的国家级-商品级森林砍伐碳排放足迹，具备无可比拟的覆盖范围与数据精细粒度。

## 仓库更新说明
自本仓库发布后，将不再进行任何更新。所有现有内容及后续更新均将维护于Zenodo数据集：Singh, C.、Persson, U. M.、Croft, S.、Kastner, T. 与 West, C. D. (2026). 《2001-2023年商品驱动型森林砍伐、相关碳排放与贸易》(2.1) [数据集]. Zenodo. DOI: 10.5281/zenodo.18953516。

## 联系方式
如有任何疑问，请联系：
钱德拉坎特·辛格（Chandrakant Singh）与U.马丁·佩尔松（U. Martin Persson）
电子邮箱：[e-mail]
瑞典哥德堡查尔姆斯理工大学环境与能源科学系物理资源理论研究组