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An AI-Enabled WEFE Nexus Tool for Assessing Circular Bioeconomy Options and Sustainability Transitions in Mediterranean Agro-Environmental Systems

地中海農業環境システムにおける循環型バイオエコノミーオプションと持続可能性移行を評価するAI活用WEFEネクサスツール (AI 翻訳)

Brent Villanueva Escobedo, Olga Lucía Sanchez Santander, Joan García Subirana, Jose Luis Pérez, Alejandra Calleros-Islas, Robert Savé, Pau Fonseca i Casas, Jordi Morató

Preprints.orgプレプリント2026-04-30#その他Origin: EU
DOI: 10.20944/preprints202604.2180.v1
原典: https://doi.org/10.20944/preprints202604.2180.v1

🤖 gxceed AI 要約

日本語

本研究は、地中海農業環境システムにおける循環型バイオエコノミー移行を支援するAI搭載の意思決定支援ツールを提案する。WEFEネクサス（水・エネルギー・食料・生態系）の相互依存性を統合し、参加型評価とAIシナリオ分析を組み合わせる。バイオ炭とアグロフォレストリーの2つのソリューションを評価した結果、両者は補完的な効果を持ち、文脈に応じた選択の重要性が示された。

English

This study presents an AI-enabled decision-support tool for implementing circular bioeconomy solutions in Mediterranean agro-environmental systems, integrating the WEFE Nexus (water, energy, food, ecosystems). It combines participatory multi-criteria assessment, compensation mechanisms, and AI-based scenario analysis within a digital twin environment. Applied to biochar and agroforestry, results show complementary performance profiles, highlighting the value of context-specific solution portfolios for sustainability transitions.

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

日本でも農業分野での気候変動適応や循環型経済の推進が課題となっており、本ツールの統合的アプローチは、日本の農林水産業におけるGX（グリーントランスフォーメーション）政策の立案や、地域資源を活用したカーボンニュートラル戦略に示唆を与える可能性がある。

In the global GX context

This paper contributes to global discussions on circular bioeconomy and AI-driven sustainability transitions, particularly relevant for regions facing water scarcity and climate variability. The integrated WEFE Nexus approach offers a framework for evidence-based policy and planning that can be adapted to other contexts, supporting international efforts in climate adaptation and sustainable development.

👥 読者別の含意

🔬研究者:Researchers in sustainability science, AI applications, and circular economy can gain insights into an integrated modeling framework combining participatory methods and AI.

🏢実務担当者:Practitioners in agricultural and environmental management can use the tool to evaluate circular bioeconomy solutions like biochar and agroforestry in their own contexts.

🏛政策担当者:Policymakers can learn from the evidence that context-specific portfolios of solutions are more effective than single interventions for sustainability transitions.

📄 Abstract（原文）

Transitioning to a circular bioeconomy in agro-environmental systems requires decision-support approaches able to address interdependencies across water, energy, food, and ecosystems (WEFE), especially in Mediterranean regions affected by climate variability, water scarcity, land degradation, and fragmented governance. However, the practical operationalization of the WEFE Nexus remains limited by methodological constraints and insufficient integration of dynamic analysis. This study presents an AI-enabled decision-support tool designed to support the implementation of circular bioeconomy solutions within the WEFE Nexus. The framework integrates participatory multi-criteria assessment, compensation mechanisms, and artificial intelligence-based scenario analysis within the NECADA digital twin environment, enabling the assessment of elements under uncertainty. Developed and applied within the “Ensuring fair NEXUS transition for climate change adaptation and sustainable development implementation based on coupled nature-based systems and bioeconomy (SureNexus)” project, the tool was used to assess two circular bioeconomy solutions, biochar and agroforestry, across Mediterranean agro-environmental contexts. Results show complementary performance profiles: biochar provides targeted benefits for soil restoration, water regulation, and climate mitigation, whereas agroforestry generates broader system-level effects that enhance ecosystem services, resilience, and long-term sustainability. These findings highlight the value of context-specific solution portfolios and show that AI-enabled WEFE tools can support evidence-based policy and planning for sustainability transitions.

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