Land-use change and emissions projections for Brazil (2020-2050) from net-zero pathway scenarios
ブラジルの土地利用変化と排出量予測（2020-2050年）：ネットゼロ経路シナリオに基づく (AI 翻訳)
Aline C. Soterroni, Mariana Império, Marluce Scarabello, Nathalie Seddon, Michael Obersteiner, Pedro Rochedo, Roberto Schaeffer
🤖 gxceed AI 要約
日本語
本データセットは、ブラジルの土地利用変化、温室効果ガス排出量、エネルギーシステム指標を2020年から2050年まで5年ごとに提供する。GLOBIOM-BrazilとBLUESモデルを統合した評価フレームワークを用い、ベースラインと複数のネットゼロ経路を比較可能。土地利用とエネルギーの相互作用を分析し、気候緩和政策の評価に貢献する。
English
This dataset provides scenario-based projections of land use, GHG emissions, and energy system indicators for Brazil from 2020 to 2050 at five-year intervals. Using a soft-linked framework combining GLOBIOM-Brazil and BLUES models, it includes baseline and multiple net-zero pathways, enabling analysis of land-energy interactions and climate mitigation policies.
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
ブラジルのネットゼロ経路は、日本の農林業やバイオ燃料輸入に影響を与える可能性がある。日本企業のサプライチェーンにおける土地利用変化由来の排出（Scope 3）評価や、国際的なカーボンフットプリント算定に有用なデータを提供する。
In the global GX context
This dataset offers valuable insights for global climate policy, particularly for understanding land-use dynamics in net-zero transitions. It supports international efforts on deforestation-free supply chains and informs global models of land-based mitigation, relevant to ISSB and CSRD disclosure requirements for land-related impacts.
👥 読者別の含意
🔬研究者:Provides a comprehensive dataset for modeling land-use and energy interactions in Brazil's net-zero pathways, useful for integrated assessment modeling and policy analysis.
🏢実務担当者:Can inform corporate supply chain assessments for agricultural and biofuel sourcing from Brazil, aiding Scope 3 emissions calculations and deforestation risk management.
🏛政策担当者:Offers scenario data to support national climate policy planning and international cooperation on land-based mitigation and net-zero strategies.
📄 Abstract（原文）
This dataset contains scenario-based projections of land use, greenhouse gas emissions and energy system indicators for Brazil. The variables include land-use change, agricultural production, commodity prices, cattle herd size, carbon capture, biofuel production, primary energy supply and sectoral greenhouse gas emissions, expressed in MtCO2e/yr. The data were generated to support research and policy analysis of land-use dynamics, agricultural systems, energy transitions and climate mitigation in Brazil. The projections cover the period from 2020 to 2050 and are reported at five-year intervals. The data cover the entire national territory of Brazil. Spatially explicit land-use outputs are provided using GLOBIOM-Brazil ColRow grid identifiers, while energy and emissions outputs are reported at the national scale. The projections were generated using a regional soft-linked integrated assessment modelling framework, combining the GLOBIOM-Brazil (Global Biosphere Management model for Brazil) land-use model and the BLUES (Brazilian Land Use and Energy System) energy-focused integrated assessment model. The dataset includes outputs for a baseline scenario and multiple mitigation pathways designed to achieve net-zero emissions in Brazil by 2050. It enables comparison of alternative development and mitigation pathways and provides the underlying data used to assess interactions between land, energy and greenhouse gas emissions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5285/5a778ab8-1521-4ea6-b6d0-66b8c307e34bfirst seen 2026-08-01 05:00:18
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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。