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GLOBIOM projections for the quantification of the VITAL-Paths-Food pathways in RAINFOREST deliverable D5.3

RAINFOREST成果物D5.3におけるVITAL-Paths-Food経路の定量化のためのGLOBIOMプロジェクション (AI 翻訳)

Sibylle Rouet-Pollakis, David Leclère, Marta Kozicka, Felicity Addo, Fulvio Di Fulvio, Pekka Lauri, Jinfeng Chang, Elliott Woodhouse, Christopher Wong, Peter Havlík, Stefan Frank, Larissa Nowak, Thomas Kastner, Daniel Braun, Koen Kuipers, Francesca Verones

Open MINDデータセット2026-04-27#気候科学Origin: Global
DOI: 10.5281/zenodo.18788047
原典: https://pure.iiasa.ac.at/id/eprint/18996/
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🤖 gxceed AI 要約

日本語

本論文は、GLOBIOMモデルを用いて2050年までの食料・バイオマスサプライチェーンの変革経路を定量化したRAINFORESTプロジェクトの成果物D5.3の補足資料である。3つの対照的な経路と15の分解シナリオを提供し、土地利用、GHG排出、生物多様性、栄養などの指標を評価している。

English

This paper is a supplement to the RAINFOREST deliverable D5.3, providing quantitative projections to 2050 using the GLOBIOM model for transformative pathways in food and biomass supply chains. It includes three contrasted pathways and 15 decomposition scenarios, assessing indicators such as land use, GHG emissions, biodiversity, and nutrition.

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

日本のGX文脈では直接的な関連は薄いが、土地利用変化や食料システムの変革が気候・生物多様性目標に与える影響を分析する点で、日本における土地利用政策やサプライチェーン排出削減の参考になり得る。

In the global GX context

This paper contributes to global GX discussions by modeling integrated pathways for food and biomass systems that align with climate, biodiversity, and human well-being goals. It provides insights into trade-offs and synergies in land use and supply chain transformations, relevant for international climate and biodiversity frameworks.

👥 読者別の含意

🔬研究者:Researchers in land use, food systems, and integrated assessment modeling can use the scenario data and decomposition approach to analyze transformation pathways.

🏢実務担当者:Sustainability practitioners in food and biomass value chains can consider the indicators and trade-offs highlighted for setting reduction targets.

🏛政策担当者:Policymakers working on land use, agriculture, and climate mitigation can reference the pathway analysis for designing integrated policies.

📄 Abstract(原文)

Supplement for RAINFOREST D5.3 deliverable (https://doi.org/10.5281/zenodo.19789240) including output data for the quantitative projections, and code to generate related figures in the deliverable (Figures 1-32). The deliverable analyzes quantitative projections to 2050 generated with the GLOBIOM model for the VITAL-Paths-Food pathways. These are contrasted pathways of transformative change in the food and biomass supply chains towards climate-, nature- and people-positive futures. The pathways represent consistent and contrasted groupings of value perspectives about environmental justice (based on the AJUST framework) and human-nature relationships (based on the NFF framework). The scenarios for which a quantification is provided include: 1 business-as-usual future (as a counterfactual), 3 contrasted pathways, designed to meet global biodiversity, climate and human well-being goals. 15 decomposition scenarios, picturing subsets of the interventions constituting each pathway, allowing to understand the effect of those on the projected outcomes. The projections provide indicators related to efforts (understood as deviations to the BAU interns of indirect drivers, e.g., changes in consumption, trade and production volumes, adoption of sustainable production practices and area under restoration) and impacts (understood as deviations to the BAU in terms of direct drivers and environmental and socio-economic impacts, e.g., land use, GHG emissions, nutrient and pesticide input use, average ecological intactness and species extinction risks from agricultural products, value of agricultural production, labor requirements for crop production, undernourishment, health impacts from food consumption).

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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。