Input data from: Landscape efficiency frontiers for biodiversity, climate mitigation and net economic value
生物多様性、気候緩和、正味経済価値のための景観効率フロンティア：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、陸域気候緩和、農業・畜産・林業からの正味経済価値の間のトレードオフを評価する「景観効率フロンティア」を開発した。146カ国に適用した結果、土地利用改善により気候緩和（200億トンCO2相当以上）や経済価値（3500億米ドル以上）を大幅に向上できる可能性を示した。このリポジトリには、分析に用いた全球空間データと表データが含まれる。
English
This study integrates spatial biophysical and economic data with optimization to develop landscape efficiency frontiers for biodiversity, climate mitigation, and economic value across 146 countries. Results show potential for over 200 Gt CO2e climate mitigation increase or >$350B economic value gain without trade-offs. The repository provides the global spatial and tabular data used.
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
本論文の手法は、日本の国土利用計画やカーボンニュートラル目標に応用可能。森林・農地の最適配分による生物多様性と炭素吸収源の同時最大化は、日本のGX戦略における自然解ベースソリューションの検討に示唆を与える。
In the global GX context
This paper offers a data-driven optimization framework for reconciling land-use trade-offs, directly relevant to global GX debates on nature-based solutions, NDC enhancement, and sustainable development. The publicly available dataset enables replication and scenario analysis worldwide.
👥 読者別の含意
🔬研究者:Provides open spatial data and a methodological framework for landscape optimization that can be adapted to regional or national studies.
🏢実務担当者:Useful for land managers and agri-forestry firms evaluating trade-offs between production, carbon storage, and biodiversity under different management scenarios.
🏛政策担当者:Supports national and multilateral planning by quantifying synergy and trade-off potentials among biodiversity, climate, and economic goals.
📄 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.20499194first seen 2026-06-04 05:03:48 · last seen 2026-06-16 04:53:27
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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。