🤖 gxceed AI 要約
日本語
ポルトガルの再エネ760件を分類し、多変量クラスタ分析で18の「エネルギー・土地システム」類型を同定した研究。風力は北部で放牧・養蜂との共存や保護区・共有地との協治、太陽光は南部で生産量と外部性緩和が特徴。大規模案件は社会生態学的に周縁化された地域に立地し対策も多い一方、小規模案件は生産性の高い土地を占める傾向があり、規模と立地のトレードオフが政策に示唆を持つ。
English
Classifying 760 Portuguese renewable projects via multivariate cluster analysis, the authors identify 18 energy-land system types shaped mainly by geography and scale. Northern wind systems favor co-location and co-governance, while southern solar systems differ by output and externality mitigation. Large projects cluster in highly marginalized regions with more socio-ecological measures, whereas smaller ones occupy more productive land—revealing scale-location trade-offs relevant to energy policy.
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
日本でも再エネの地域共生・条例・ゾーニングがGX推進の焦点となる中、立地と社会生態学的指標を全国規模で類型化する手法は、地域合意形成やFIT/FIP制度設計、自治体の導入計画策定に示唆を与える。
In the global GX context
As ISSB/CSRD disclosure increasingly touches nature and community impacts, this land-system framing offers a replicable method to assess social-ecological siting risk of renewables—useful for transition planning and just-transition narratives in global disclosure scholarship.
👥 読者別の含意
🔬研究者:再エネ立地の社会生態学的類型化と規模・立地トレードオフの実証手法として参照価値が高い。
🏢実務担当者:再エネ調達・開発時の地域リスク評価や共生策設計の枠組みとして活用できる。
🏛政策担当者:再エネのゾーニングや規模選択、地域還元策の政策設計に示唆を与える。
📄 Abstract（原文）
Abstract. The expansion of solar and wind power creates complex "energy-land systems" defined by interactions between governance, land use, and energy production. While critical for the energy transition, utility-scale projects often face social contestation rooted in the socio-ecological marginalization of rural areas. Addressing these challenges requires a granular, nationwide understanding of renewable energy systems and their local contexts. Focusing on Portugal, we categorized 760 renewable energy projects and used multivariate cluster analysis to identify 18 energy-land system types. Deployment contexts were analysed using indicators of socio-ecological marginalization, including land degradation, energy poverty, income levels, demographic dynamics, and land prices. Our findings reveal that geography and scale are primary drivers of energy-land system diversity. Wind systems in the North favour co-location (e.g., pasture, beekeeping) and co-governance (e.g., protected areas, commons), while solar systems in the South are distinguished by production levels and externality mitigation. Furthermore, we found that large-scale projects are frequently located in highly marginalized regions and incorporate more socio-ecological measures. Conversely, smaller utility-scale projects tend to occupy more productive, less marginalized land. These patterns illustrate trade-offs between deployment strategies—such as few large projects versus several small ones—with direct implications for energy policies. To our knowledge, this study presents the first nationwide analysis of energy-land systems, providing a replicable approach for system characterization. By adopting a land-system perspective, this research supports planning decisions aimed at creating multifunctional, equitable systems that better align rural needs with the requirements of the energy transition across various scales.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5194/ls-2026-5-ac2first seen 2026-10-26 04:39:53 · last seen 2026-11-05 04:52:02
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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。