Input data from: Landscape efficiency frontiers for biodiversity, climate mitigation and net economic value
生物多様性、気候緩和、および正味経済価値のための景観効率フロンティアの入力データ (AI 翻訳)
Peter Hawthorne, Rebecca Chaplin-Kramer, Jeffrey Smith, James Gerber, Adrian Vogl, Virgina Kowal, Stacey Wolny, Deepak Ray, Paul West, Adam Castonguay, Jinfeng Chang, Matthew Holden, Eve McDonald-Madden, Rafael Schmitt, Ian Madden, Stephen Polasky
🤖 gxceed AI 要約
日本語
本論文は、空間的な生物物理・経済データと最適化手法を統合し、生物多様性保全、気候緩和、農業・畜産・林業からの正味経済価値を同時に最大化する「持続可能な景観効率フロンティア」を開発。146カ国に適用し、土地利用改善により気候緩和を2000億トンCO2換算以上、経済価値を3500億ドル以上増加させる可能性を示した。
English
This study integrates spatial biophysical and economic data with optimization methods to develop sustainable landscape efficiency frontiers that show maximally feasible combinations of biodiversity conservation, land-based climate mitigation, and net economic value. Applied in 146 countries, it finds potential to increase climate mitigation by over 200 billion metric tons CO2 equivalents and net economic value by over 350 billion USD without trade-offs.
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
本論文は日本を含む146カ国を対象としており、日本の国土計画や農林業政策において生物多様性と気候緩和の両立を検討する際の基礎データとして活用可能。ただし、日本固有の政策（GX実現に向けた基本方針など）との直接的な関連性は限定的。
In the global GX context
This paper provides a global framework for optimizing land use across biodiversity, climate, and economic objectives, relevant for national governments and international bodies like IPBES and IPCC. While not specific to any single country, the methodology can inform land-use planning and climate mitigation strategies worldwide.
👥 読者別の含意
🔬研究者:Provides a novel optimization framework and global dataset for integrated assessment of biodiversity, climate, and economic trade-offs.
🏢実務担当者:Use the data and frontiers to inform sustainable land management decisions and corporate net-zero strategies involving land-based carbon offsets.
🏛政策担当者:Supports national-scale planning for simultaneous achievement of biodiversity targets (e.g., Kunming-Montreal Global Biodiversity Framework) and climate goals (e.g., Paris Agreement).
📄 Abstract（原文）
National governments and multilateral institutions face difficult challenges reconciling biodiversity, climate, and economic development goals. Here we integrate spatial biophysical and economic data with optimization methods to develop sustainable landscape efficiency frontiers that show maximally feasible combinations of biodiversity conservation, land-based climate mitigation, and net economic value from agricultural crops, livestock, and forestry production. We apply this approach in 146 countries and find large potential gains in biodiversity, climate, and economic development from improved land use and land management. Summing national level results shows potential to increase climate mitigation by over 200 billion metric tons CO2 equivalents (>20% increase) or net economic value by over 350 billion USD (>80% increase) without loss in other objectives. This repository contains the global spatial and tabular data used to carry out this analysis, including data on biodiversity indicators, agricultural suitability and value, carbon storage, and other values used to construct spatial land use scenarios.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.20499195first seen 2026-06-04 05:04:58 · last seen 2026-06-16 04:53:28
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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。