多形なエネルギー転換：ポルトガルにおける風力・太陽光エネルギー－土地システムの類型化
A multiform energy transition: typifying wind and solar energy-land systems in Portugal (原題)
Ana Buchadas, André Alves, Miguel Macias Sequeira, Rodrigo Amaro e Silva, Vera Ferreira, Eric Lambin
🤖 gxceed AI 要約
日本語
ポルトガルの再エネ760件を多変量クラスター分析し、18の「エネルギー－土地システム」類型を特定。風力は北部で放牧・養蜂等との共立地・共治が進み、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辺化された地域に集中し、小規模は生産性の高い土地を占める傾向がある。
English
Clustering 760 Portuguese renewable projects, the study identifies 18 energy-land system types. Northern wind systems favor co-location and co-governance; southern solar systems emphasize output and externality mitigation. Large projects cluster in marginalized regions, while smaller ones occupy more productive land, revealing trade-offs for 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
日本では再エネの適地不足と地域共生が喫緊の課題であり、本稿の「エネルギー－土地システム」視点は、地域合意形成やFIT/FIP制度下の立地政策、農山漁村との共生モデル設計に示唆を与える。SSBJ開示とは直接接続しないが、自然資本・地域社会への影響評価の枠組みとして参考になる。
In the global GX context
As ISSB/CSRD push companies to disclose nature and community impacts, this paper offers a replicable land-system typology for assessing renewable siting trade-offs. It complements global transition-finance debates by linking deployment scale to socio-ecological marginalization, informing just-transition and TNFD-adjacent analysis.
👥 読者別の含意
🔬研究者:再エネ立地の社会生態学的類型化手法と、規模・地理がもたらすトレードオフの実証枠組みを提供する。
🏢実務担当者:再エネ調達・開発案件の立地リスクと地域共生策を評価する際の類型フレームとして活用できる。
🏛政策担当者:大規模集中か分散小規模かの立地政策選択と、周辺化地域への社会生態学的配慮の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-2026-5first seen 2026-10-04 04:39:55
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
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。