Preprints
https://doi.org/10.5194/essd-2024-619
https://doi.org/10.5194/essd-2024-619
24 Feb 2025
 | 24 Feb 2025
Status: this preprint is currently under review for the journal ESSD.

Global consumption-based deforestation carbon emissions and regional hotspots: 2001–2015

Dongmei Tang, Yuanzhi Yao, and Xia Li

Abstract. The consumption-based carbon emissions dataset for deforestation is essential for developing effective emission reduction policies by offering an alternative perspective. Although previous studies have provided national-scale data on deforestation emission footprints, the global scale data with detailed and continuous spatial information is still lacking. Here, we created a global consumption-based carbon emissions gridded dataset for deforestation at a 1 km resolution for 2001–2015, integrating spatial data on road networks, deforestation, and forest carbon fluxes with country-level statistics on global trade. Our dataset reveals that trade-related carbon emissions induced by deforestation were 25.3 Gt CO2e, constituting 31.0 % of global carbon emissions due to deforestation. Additionally, the top 20 countries are responsible for most of the consumption-based carbon emissions which contribute to over 80 % of the global total. While high-income countries are responsible for 68.8 % of hidden deforestation emissions in trade, the ones in lower-income counties are rising due to the notable consumption in higher-income areas. This new dataset help addresses the previous data gap in consumption-based global deforestation emissions, aiding the formulation of consumer-side emission reduction strategies and expanding the approaches for mitigating carbon emissions due to anthropogenic activities. Datasets are available at https://doi.org//10.6084/m9.figshare.28091879 (Tang et al., 2024).

Competing interests: Some authors are members of the editorial board of journal Earth System Science Data.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
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Dongmei Tang, Yuanzhi Yao, and Xia Li

Status: open (until 02 Apr 2025)

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Dongmei Tang, Yuanzhi Yao, and Xia Li

Data sets

Consumption-based Carbon Emissions for Deforestation (2001–2015) Dongmei Tang, Yuanzhi Yao, and Xia Li https://doi.org/10.6084/m9.figshare.28091879

Dongmei Tang, Yuanzhi Yao, and Xia Li
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Short summary
We developed a global consumption-based carbon emissions gridded dataset (1 km) for deforestation from 2001 to 2015. Our dataset shows that trade-related emissions account for 31 % of global deforestation emissions, with high-income countries driving most of the emissions. This research highlights the importance of addressing consumption patterns in climate change strategies and offers valuable data to inform global policy and emission reduction efforts.
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