中国智慧林草研究进展

Research progress on Smart Forestry and Grassland in China

摘要

智慧林草作为融合现代信息技术的新型生态管理模式,依托智能传感器与信息网络系统,实现对林草资源的动态监测、精准管理、科学决策和高效利用。该模式在提升资源利用效率、加强生物多样性保护、增强灾害预防与恢复能力和促进林草业可持续发展等方面成效显著,已逐渐成为中国生态文明建设的重要技术支撑。然而,当前关于智慧林草发展的系统性报道相对匮乏,制约了该模式的进一步创新与推广。本文基于对国内外智慧林草发展历程的系统梳理,结合对其关键技术及应用范围的分析,提出中国智慧林草发展仍面临自动化水平不足、智能化程度不高以及精准化能力偏弱等突出问题。针对上述瓶颈,从自动化、智能化以及精准化三个层面,提出未来中国智慧林草的研究重点与发展方向。

Abstract

As a new ecological management model that integrates modern information technology,Smart Forestry and Grassland relies on intelligent sensors and information network systems to enable dynamic monitoring,precise management,scientific decision-making,and efficient utilization of forest and grassland resources. It has achieved significant results in enhancing resource utilization efficiency,strengthening biodiversity conservation,improving disaster prevention and recovery capabilities,and promoting the sustainable development of forestry and grassland sectors,and has gradually become an important technological pillar for China’s ecological civilization construction. However,systematic reports on the development of Smart Forestry and Grassland are currently scarce,which hinders further innovation and promotion of this model. Based on a systematic review of the development history of Smart Forestry and Grassland both domestically and internationally,combined with an analysis of its key technologies and scope of application,this paper points out that the development of Smart Forestry and Grassland in China still faces prominent issues such as insufficient automation,low levels of intelligence,and weak precision capabilities. To address these bottlenecks,this paper proposes future research priorities and development directions for China’s Smart Forestry and Grassland sector across three dimensions: automation,intelligence,and precision.

关键词

智慧林草 / 信息化 / 自动化 / 生产力

Key words

Smart Forestry and Grassland / informatization / automatization / productivity

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基金资助

西南林业大学学术学位研究生精品课程建设项目(森林保护学)(202502)

西南林业大学教育科学研究课题(JWC-ZD202501)

云南省科技特派员项目(20250353)