空间栽培与智能协同下的城市生产性生态系统理论模型与实践探索

Theoretical Model and Practical Exploration of Urban Productive Ecosystems under Spatial Cultivation and Intelligent Synergy

摘要: 面对全球气候变化、粮食安全的双重压力及我国绿色转型与数字发展战略，传统农业高消耗模式与城市生态脆弱性矛盾亟需创新解决方案。文章提出“智能生态融合体”概念，探索环境设计、现代农业技术与人工智能深度融合路径，构建资源高效、低碳循环、具备韧性的生产生活系统。首先，梳理各领域独立发展的瓶颈与协同必要性，并系统构建空间载体、生物模块、数字大脑三位一体理论模型，阐释其架构与运行机制；其次，结合国内外案例与实证数据，分析其在提升资源利用效率、增强系统自适应能力及促进社区参与方面的优势；最后，探讨其与“双碳”目标、乡村振兴等国家战略的契合点，提出相应政策建议与实施展望，为人居生态环境智能化、生产性转型提供新理论框架与实践思路。

Abstract: Confronted with the dual pressures of global climate change and food security, and in alignment with China’s strategic focus on green transformation and digital development, there is an urgent need for innovative solutions to address the inherent conflict between the high-consumption model of traditional agriculture and the fragility of urban ecosystems. This paper proposes the concept of an “Intelligent Ecological Integrative System” to explore pathways for the deep integration of environmental design, modern agricultural technology, and artificial intelligence, aiming to construct a resource-efficient, low-carbon, circular, and resilient production-living system. First, the article reviews the bottlenecks in the independent development of each field and the necessity of synergy. It systematically constructs a tripartite theoretical model comprising a spatial carrier, biological modules, and a digital “brain”, elucidating its architecture and operational mechanisms. Second, drawing on domestic and international case studies and empirical data, it analyzes the model’s advantages in enhancing resource utilization efficiency, strengthening systemic adaptive capacity, and promoting community participation. Finally, it discusses the model’s alignment with national strategies such as the “Dual Carbon” goals and rural revitalization, proposing corresponding policy recommendations and implementation prospects. This work offers a novel theoretical framework and practical insights for advancing the intelligent and productive transformation of human settlement ecological environments.