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

地球規模の小水域からの気候変動による温室効果ガス排出の人為的増幅 (AI 翻訳)

Xuliang Zhuang, Xiaoxuan Liu, Shengjun Xu, Xu Wang, Aamer Ali Shah, Lei Wang, Shanghua Wu, Cancan Jiang, Zhiyun Ouyang, Shilong Piao

Proceedings of the National Academy of Sciences📚 査読済 / ジャーナル2026-05-18#気候科学Origin: CN
DOI: 10.1073/pnas.2537678123
原典: https://doi.org/10.1073/pnas.2537678123

🤖 gxceed AI 要約

日本語

本研究は、機械学習と全球データベースを用いて、小水域からの温室効果ガス排出に対する人為活動の増幅効果を定量化した。農業栄養塩負荷と土地利用強度が排出を大幅に増加させ、将来シナリオでは持続可能な経路での緩和可能性を示した。

English

This study quantifies the human amplification of greenhouse gas emissions from small water bodies using machine learning and a global database. Agricultural nutrient loading and land use intensity significantly increase emissions, with sustainable pathways showing mitigation potential under future scenarios.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

日本では水田やため池などの小水域が多く、農業由来の栄養塩管理は温室効果ガス削減に寄与する可能性がある。IPCCや国内インベントリへの反映が期待される。

In the global GX context

This paper reveals a critical feedback loop in the global carbon cycle, highlighting how agricultural practices amplify emissions from small water bodies. It underscores the need to integrate such processes into climate models and mitigation strategies globally.

👥 読者別の含意

🔬研究者:Provides a global estimate and future projections of GHG emissions from small water bodies, useful for carbon cycle modeling and climate feedback studies.

🏛政策担当者:Highlights the potential of nutrient management in agricultural catchments to mitigate GHG emissions, informing climate mitigation policies.

📄 Abstract(原文)

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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