Nitrogen science for sustainable food systems and climate change mitigation
持続可能な食料システムと気候変動緩和のための窒素科学 (AI 翻訳)
Diego Abalos, Klaus Butterbach-Bahl, Jorgen Olesen
🤖 gxceed AI 要約
日本語
窒素は食料生産に必須だが、非効率利用が環境悪化と気候変動を招く。本特集号は、圃場レベルから全球スケールまでのN動態、農業・産業・政策横断的な研究を集成。N2O排出の測定・モデリングの不確実性に対処し、SmartFieldなどの統合モニタリング・モデリングの取り組みを紹介。構造変革によるN損失削減の可能性を評価し、栄養塩循環の未活用機会や経済的トレードオフを検討。統合的・マルチスケールなN管理の必要性を強調する。
English
This focus issue synthesizes nitrogen science across scales, addressing N2O emissions, nitrogen use efficiency, and accounting frameworks. It highlights integrated monitoring and modeling initiatives (SmartField, canN2Onet, N2Onet) and scenario analyses showing potential for substantial N loss reduction through dietary shifts and circularity. The collection emphasizes multi-scale governance for reconciling food production with climate mitigation.
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、農業分野の温室効果ガス削減目標や「みどりの食料システム戦略」に関連。N2O排出インベントリの精緻化や、水田・畑地での窒素管理改善に示唆を与える。ただし、本特集は国際的な事例が中心で、日本固有の政策文脈への直接的な適用には追加の検討が必要。
In the global GX context
Globally, this focus issue advances N2O emission accounting under frameworks like UNFCCC and IPCC. It supports emerging GHG inventories and mitigation strategies in agriculture, aligning with climate pledges under the Paris Agreement. The integrated monitoring approaches could strengthen reporting in national communications and inform international policy on agricultural emissions.
👥 読者別の含意
🔬研究者:Provides a comprehensive update on nitrogen cycling uncertainties, measurement methods, and multi-scale modeling approaches for N2O emissions.
🏢実務担当者:Offers insights into nitrogen use efficiency improvements and circular economy strategies (e.g., nutrient recovery) that can inform corporate sustainability in agri-food supply chains.
🏛政策担当者:Highlights the need for integrated governance and improved N2O monitoring to support national climate targets and agricultural policy design.
📄 Abstract(原文)
Abstract Nitrogen (N) is essential for global food production, yet its inefficient use leads to widespread environmental degradation and contributes significantly to climate change. This focus issue of Environmental Research Letters brings together a comprehensive set of studies that advance our understanding of N dynamics across scales, from field-level processes to global systems, and across sectors including agriculture, industry, and policy. The contributions provide new insights into nitrogen use efficiency, emissions, and flows through detailed subnational and national assessments, alongside methodological advances in N budgeting and accounting frameworks. Several studies address critical uncertainties in N cycling, particularly in relation to denitrification and nitrous oxide (N 2 O) emissions, highlighting gaps in measurement and modeling capabilities. Emerging integrated monitoring and modeling initiatives—including SmartField, canN 2 Onet, and N 2 Onet—demonstrate the potential for harmonized systems that improve measurement, verification, and reporting of N 2 O emissions across scales. Scenario analyses and long-term assessments of agro-food systems reveal the potential for substantial reductions in N losses through structural transformations, including dietary shifts, enhanced circularity, and improved system integration. Other contributions present underexplored opportunities for nutrient recycling, such as the recovery of N from human excreta, and examine the economic trade-offs and policy implications of N use on a global scale. Collectively, the studies emphasize the need for integrated, multi-scale approaches to N management that combine improved monitoring, robust modeling, cross-sectoral accounting, and coordinated governance. This focus issue provides a foundation for advancing N science and developing effective strategies that reconcile food production with environmental sustainability and climate change mitigation.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1088/1748-9326/ae61d0first seen 2026-05-19 04:42:57 · last seen 2026-05-20 04:52:17
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