Measurement, Reporting, and Verification of Agricultural and Livestock Emissions: A Combined Systematic and Bibliometric Review
農業および畜産排出量の測定・報告・検証（MRV）：体系的かつ計量書誌学的レビューの組み合わせ (AI 翻訳)
N. Tsigkas, Vasileios Anestis, Anna Vatsanidou, Chrysanthos Maraveas
🤖 gxceed AI 要約
日本語
本研究は、農業と畜産からの温室効果ガス（GHG）排出量を定量化・追跡するためのMRV手法に関する世界的な研究を包括的にレビューした。1990～2025年の5340件の研究の計量書誌学分析と2020～2025年の100件の系統的レビューから、4つのMRV手法（インベントリ、製品LCA、測定/モデル、ガバナンス）が特定された。これらの手法は低炭素農業の普及を促進するが、データ不足による一般化の限界も明らかになった。
English
This paper presents a systematic and bibliometric review of MRV techniques for agricultural and livestock GHG emissions. Analyzing 5,340 studies (1990-2025) and systematically reviewing 100 (2020-2025), it identifies four MRV approaches: inventory methods (IPCC tiers), product-level accounting (LCA), measurement/model-based techniques, and governance frameworks. MRV facilitates low-carbon practices but faces data limitations. Future work should integrate diverse techniques.
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
日本では農業排出量は全体の約3%と小さいが、本レビューはスマート農業やバリューチェーン全体の排出量算定（SSBJ対応）に役立つ。農業MRV手法の体系的理解を提供し、日本の農業GX政策やカーボンフットプリント制度の設計に示唆を与える。
In the global GX context
This global review provides a structured overview of MRV techniques for agricultural and livestock emissions, critical for Scope 3 accounting in food supply chains. It highlights diverse methods from IPCC tiers to AI/ML, supporting low-carbon transition. The paper is valuable for developing MRV systems under ISSB or CSRD frameworks.
👥 読者別の含意
🔬研究者:Researchers in agricultural GHG accounting and MRV methodology will benefit from the comprehensive taxonomy and bibliometric insights.
🏢実務担当者:Practitioners can use this review to select appropriate MRV techniques for farm-level or supply-chain emission reporting.
🏛政策担当者:Policymakers can refer to this paper for designing national MRV systems and integrating agricultural emissions into climate reporting standards.
📄 Abstract（原文）
The current research undertook a comprehensive examination of global research related to the use of measurement, reporting, and verification (MRV) techniques for quantifying and tracking greenhouse gas (GHG) emissions from agriculture and livestock farming. Data were collected using a bibliometric analysis of 5340 studies published in the period (1990–2025) and a systematic literature review of 100 studies published in the period (2020–2025). The insights from the findings showed that four MRV techniques were broadly adopted across different regions: (1) inventory techniques (IPCC Tiers, national systems), (2) accounting at the project/product level (LCA, carbon footprint protocols), (3) MRV based on measurement and models (chambers, remote sensing, farm models, AI/ML), and (4) frameworks for governance and standardization (UNFCCC, Paris ETF, PAS 2050, etc.). The findings further revealed the impact of the MRV techniques on agriculture and livestock farming, showing that they facilitated the uptake of low-carbon practices. In agriculture, the MRV techniques showed that lower emissions emerged from mixed cropping, while in livestock farming, the emissions varied based on the feeding stage and type of diet used. However, various challenges arose in the adoption of MRV techniques where there was limited data related to GHG emissions, thereby reducing generalizability. In future work, there is a need for scholars to consider integrating the different MRV techniques to develop an understanding of the problem area.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/agriengineering8030110first seen 2026-05-06 00:45:50
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。