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農産物の森林破壊面積・排出量に関するグローバル・ライフサイクルインベントリデータベース

A global life-cycle inventory database of deforestation area and emissions for agricultural products (原題)

Persson, U. Martin, Singh, Chandrakant, Kastner, Thomas, Lathuillière, Michael, Mueller, Carina, West, Christopher

EarthArXivプレプリント2026-10-26#Scope 3Origin: Global経営インパクト: 調達リスク対象セクター: agriculture
DOI: 10.31223/x5bv51
原典: https://eartharxiv.org/repository/object/15766/download/27306/

🤖 gxceed AI 要約

日本語

183農産物・179カ国・2005〜2024年を対象に、森林破壊面積と炭素フットプリントの調和済みLCIデータベースを構築。新GHGプロトコルLSRSに準拠し、3つの排出配分方法と消費国向け供給ミックス加重値を算出した。フットプリントは直近森林破壊地での生産シェアに主に左右される。LSRSが求める長期償却と時間配分の併用はフットプリントを森林破壊ではなく生産量の変化に連動させ、意思決定支援としての価値を損なうと指摘する。

English

A harmonized life-cycle inventory database covering 183 agricultural commodities across 179 countries (2005–2024), conforming to the new GHG Protocol Land Sector and Removals Standard. Footprints vary by orders of magnitude, driven mainly by the share of production on recently deforested land. The authors show that LSRS-mandated long amortization combined with time-based allocation makes footprints track production rather than deforestation, and that global average emission factors misrepresent country consumption by two to three orders of magnitude.

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

食品・商社・小売のScope 3算定はLSRS対応が焦点となりつつあり、本DBは有報・統合報告書での森林破壊由来排出開示の実務基盤になり得る。配分方法への批判はSSBJ/開示ルール設計にも示唆を与える。

In the global GX context

Directly informs Scope 3 land-sector accounting under the GHG Protocol LSRS, which will feed into ISSB/CSRD supply-chain disclosure. Its critique of mandated allocation methods is a timely input to standard-setting debates on deforestation-related emissions.

👥 読者別の含意

🔬研究者:森林破壊由来排出の配分方法論とフットプリント推計の感度分析を提供する基盤データセット。

🏢実務担当者:農産物調達のScope 3・LSRS対応算定に使えるオープンなLCIと供給ミックス加重フットプリントを提供。

🏛政策担当者:LSRSの配分規定が意思決定に与える影響を踏まえ、生産ベース配分の許容を検討する根拠となる。

📄 Abstract（原文）

Food-system actors are increasingly required to quantify and report the greenhouse gas emissions from agriculture-driven deforestation in their supply chains, yet comprehensive, up-to-date and openly accessible data to support such Scope 3 reporting remain scarce. Here we present a harmonized life-cycle inventory (LCI) database of deforestation area and carbon footprints covering 183 agricultural commodities across 179 countries for 2005–2024, conforming to the newly adopted GHG Protocol Land Sector and Removals Standard (LSRS). Combining spatially explicit deforestation and carbon-emission estimates from the Deforestation Driver and Carbon Emissions (DeDuCE) model with agricultural production and bilateral trade data, we calculate footprints under three emission-allocation methods and complement them with supply-mix-weighted footprints for consuming countries. Footprints vary by orders of magnitude across commodities and countries, driven primarily by the share of production on recently deforested land and, secondarily, by forest carbon stocks and crop yields. We further show that the combination of a long (20 year) amortization period and allocating emissions over time—as the LSRS mandates—implies that changes in footprints track changes in production, rather than deforestation, undermining the value of footprints calculated this for decision support. Allocating emissions equally over production avoids this problem, even for long amortization periods. We also find that global average emission factors misrepresent country-level consumption by two to three orders of magnitude. We argue that production-based allocation should be permitted alongside the mandated metric, and that readily computed supply-mix footprints should replace global averages—providing more accurate and decision-relevant support for efforts to reduce deforestation.

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