Human amplification of climate-induced greenhouse gas emissions from global small water bodies

Human activities amplify climate-induced greenhouse gas emissions from small water bodies (SWBs), creating critical but unquantified feedback in the global carbon cycle. Here, by training machine learning models on 470 field observations and upscaling to a global database of 3.28 million water bodies, we quantify this human amplification, which drives SWBs to emit 84.5 Tg CO 2 y −1 and 11.0 Tg CH 4 y −1 , a disproportionate share of total inland water emissions (15% of CO 2 and 28% of CH 4 ) from only 6% of Earth’s surface area. This amplification is primarily fueled by agricultural nutrient loading and land use intensity, which elevate CH 4 fluxes in agricultural catchments five times higher than those in forested systems. Future projections show this synergy will increase emissions by up to 30% (CO 2 ) and 14% (CH 4 ) by 2100 under SSP5-8.5, whereas sustainable pathways (SSP1-2.6) could mitigate this emission acceleration through nutrient mitigation efforts, a largely neglected feedback process in current climate change assessments.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2026-05-18
DOI
https://doi.org/10.1073/pnas.2537678123
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Human amplification of climate-induced greenhouse gas emissions from global small water bodies

Shilong Piao, Zhiyun Ouyang, S S Wu, Aamer Ali Shah et al.
Proceedings of the National Academy of Sciences
Hydrology and Watershed Management Studies
article

Human amplification of climate-induced greenhouse gas emissions from global small water bodies

Shilong Piao, Zhiyun Ouyang, S S Wu, Aamer Ali Shah, X H Liu, Shengjun Xu, Xuliang Zhuang, Cancan Jiang, Xu Wang, Lei Wang
article en

Abstract

Human activities amplify climate-induced greenhouse gas emissions from small water bodies (SWBs), creating critical but unquantified feedback in the global carbon cycle. Here, by training machine learning models on 470 field observations and upscaling to a global database of 3.28 million water bodies, we quantify this human amplification, which drives SWBs to emit 84.5 Tg CO 2 y −1 and 11.0 Tg CH 4 y −1 , a disproportionate share of total inland water emissions (15% of CO 2 and 28% of CH 4 ) from only 6% of Earth’s surface area. This amplification is primarily fueled by agricultural nutrient loading and land use intensity, which elevate CH 4 fluxes in agricultural catchments five times higher than those in forested systems. Future projections show this synergy will increase emissions by up to 30% (CO 2 ) and 14% (CH 4 ) by 2100 under SSP5-8.5, whereas sustainable pathways (SSP1-2.6) could mitigate this emission acceleration through nutrient mitigation efforts, a largely neglected feedback process in current climate change assessments.

Proceedings of the National Academy of SciencesVol. 123(22)
King University (US), Quaid-i-Azam University (PK), University of Science and Technology of China (CN), Chinese Academy of Sciences (CN), Research Center for Eco-Environmental Sciences (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, National Science and Technology Major Project
Openalex Percentile: Top 11%
Hydrology and Watershed Management Studies
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