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      基于CiteSpace和BERTopic的水土流失治理研究进展分析

      Analysis of soil and water conservation progress based on CiteSpace and BERTopic

      • 摘要: 水土流失治理对于实现生态安全与可持续发展至关重要,有必要把握该领域的研究动态与未来方向。结合文献计量工具CiteSpace与主题模型BERTopic,系统分析2005~2024年水土流失治理领域发表的中文文献,揭示其研究动态与未来方向。结果表明:国内研究热点呈现地域化差异,从传统的土壤侵蚀控制,已逐步拓展至生态补偿机制、信息化监测等前沿领域。基于BERTopic模型识别出31个主题,并归纳为五大核心研究领域。未来研究将围绕植被-土壤协同修复技术创新、生态服务价值动态评估、政策驱动与多技术融合治理、智能化监测平台构建等方向深化,推动精准治理与碳中和目标衔接。建议加强跨学科技术研发与区域差异化治理模式探索,通过智能监测网络与生态价值转化机制创新,为土地退化防治提供系统性解决方案。

         

        Abstract: Soil and water loss governance is important for realizing ecological security and sustainable development, therefore it is necessary to grasp the dynamics and future directions of research in this field.This study combined bibliometric tool CiteSpace and thematic model BERTopic to systematically analyze the literature in the field of soil erosion control from 2005 to 2024, and to reveal its research dynamics and future directions.It is found that the research hotspots in China showed regionalized differences, and the research hotspots had been gradually expanded from the traditional soil erosion control to the frontier areas such as ecological compensation mechanism and informatization monitoring.Through the BERTopic model, this study identified 31 themes, which were categorized into five core research areas.Future research will be deepened around the technological innovation of vegetation-soil synergistic restoration, dynamic assessment of ecological service value, policy-driven and multi-technology integration of governance, and construction of intelligent monitoring platforms, so as to promote the convergence of precise governance and carbon neutral goals. Based on this, it is recommended to strengthen the research and development of inter-disciplinary technologies and the exploration of regional differentiated governance modes, and provide systematic solutions for land degradation prevention and treatment in ecological governance through the innovation of intelligent monitoring network and ecological value transformation mechanism.

         

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