Mapping the Future of Nature-Based Solutions in Sustainable Agriculture: A Structural Topic Modeling and Socio-Ecological Scenario Analysis
持続可能な農業における自然ベース解決策の未来をマッピングする：構造的トピックモデリングと社会生態シナリオ分析 (AI 翻訳)
Xiaohe Liang, Jiayu Zhuang, J Liu, Qi Wang, Ailian Zhou
🤖 gxceed AI 要約
日本語
本研究は、自然ベース解決策（NbS）と持続可能な農業に関する1198件の論文を構造的トピックモデリングで分析し、10の潜在トピックを抽出。これを基に、4つの探索的シナリオ（緑の規制、工学ユートピア、脆弱な荒野、草の根の回復力）を提示し、農業NbSの多様な発展経路と社会的不平等のリスクを明らかにした。
English
This study analyzes 1198 articles on nature-based solutions (NbS) in sustainable agriculture using Structural Topic Modeling, identifying ten latent topics. It maps these onto four exploratory scenarios—Green Regulation, Engineered Ecotopia, Vulnerable Wilderness, and Grassroots Resilience—highlighting trade-offs and social equity risks in agricultural NbS pathways.
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、農業分野でのNbS活用が環境政策や生物多様性保全と関連するが、本論文の枠組みは政策立案や地域のガバナンスに示唆を与える。特に、伝統的知識の重要性を強調する点は、日本の地域農業に応用可能。
In the global GX context
Globally, this paper advances the integration of socio-ecological scenarios and polycentric governance into NbS research, moving beyond biophysical assessments. It offers a structured framework for policymakers to evaluate trade-offs in sustainable agriculture, relevant to SDG discussions.
👥 読者別の含意
🔬研究者:Provides a novel framework combining STM and scenario analysis for NbS in agriculture, useful for literature synthesis and research agenda setting.
🏛政策担当者:Highlights the need for polycentric governance and TEK in agricultural NbS, offering scenario-based insights for equitable policy design.
📄 Abstract（原文）
Nature-based solutions (NbS) are increasingly recognized as important strategies for advancing agricultural sustainability and supporting the United Nations Sustainable Development Goals (SDGs). Much research has highlighted the biophysical potential of NbS; however, the literature remains fragmented regarding their socio-economic and governance implications. This study synthesizes existing research, identifies major knowledge structures, and develops a forward-looking research agenda. We analyzed 1198 academic articles using Structural Topic Modeling (STM) to identify ten latent topics. These topics were subsequently mapped onto the adapted Agro-Ecotopia model based on two dimensions: Ecosystem State & Control and Governance Logic & Goal Alignment. This approach established an Agro-NbS analytical framework and identified four exploratory scenarios: Green Regulation, Engineered Ecotopia, Vulnerable Wilderness, and Grassroots Resilience. These scenarios characterize diverse pathways of agricultural NbS development, highlighting potential spatial trade-offs and emerging system vulnerabilities associated with social equity. Furthermore, this study extends traditional biophysical assessments by emphasizing the importance of polycentric governance and Traditional Ecological Knowledge (TEK) in addressing complex climate challenges. The findings contribute to the understanding of agricultural Socio-Ecological Systems (SESs) and provide insights for policymakers seeking to promote a more equitable transition toward sustainable agriculture.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/earth7040123first seen 2026-07-26 05:21:07
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