森林病虫害监测与森林资源精细化管理实践

张会岐

科技创新与工程 ›› 2025, Vol. 2 ›› Issue (12) : 10 -12.

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科技创新与工程 ›› 2025, Vol. 2 ›› Issue (12) : 10 -12. DOI: 10.12349/tie.v2i12.8708

森林病虫害监测与森林资源精细化管理实践

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Practice of Forest Pest Monitoring and Fine Management of Forest Resources

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摘要

森林资源可持续管理面临森林病虫害挑战,传统管理模式存在监测精准、流程协同等短板。本文聚焦森林病虫害监测与森林资源精细化管理融合,从指标、技术、数据管理三方面完善监测体系,探索监测数据驱动的动态监管、针对性调控保护及信息化平台建设等实践路径,最后从政策、技术、资金、组织四个维度建立多元保障体系,为融合工作落地提供制度、技术、物质与实施支撑。研究旨在通过监测与管理的深度协同,提升森林资源管理的科学性、精准性与高效性,为森林生态系统保护与可持续利用提供实践参考。

Abstract

Sustainable forest resource management faces challenges from forest pests and diseases, while traditional approaches exhibit limitations in monitoring accuracy and process coordination. This study focuses on integrating pest monitoring with refined forest resource management. It enhances the monitoring system through three dimensions: indicators, technologies, and data management. Practical pathways are explored, including data-driven dynamic supervision, targeted conservation measures, and digital platform development. Finally, a multi-dimensional support system is established across four dimensions—policy, technology, funding, and organization—to provide institutional, technical, material, and operational support for implementation. The research aims to improve the scientific rigor, precision, and efficiency of forest resource management through deep integration of monitoring and management, offering practical references for forest ecosystem protection and sustainable utilization.

关键词

森林病虫害监测 / 森林资源精细化管理 / 监测体系

Key words

Forest pest and disease monitoring / Refined management of forest resources / Monitoring system

引用本文

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张会岐. 森林病虫害监测与森林资源精细化管理实践[J]. 科技创新与工程, 2025, 2(12): 10-12 DOI:10.12349/tie.v2i12.8708

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参考文献

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杨慧, 王芊, 陈国锐, . 人工智能在森林病虫害自动识别和监测技术中的应用[J]. 甘肃科技, 2025, 41(11):94-98.

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