林药复合系统的智能监测指标体系构建与调控策略优化

    Construction of the Intelligent Monitoring Indicator System and Regulation Strategy Optimization for Compound Forest-medicinal Plant System

    • 摘要: 为解决林药复合系统中林下环境复杂、传统管理难以实现关键生态因子的精准监测与动态调控等问题,旨在构建科学、系统的智能监测指标体系与调控体系,提升林药复合系统的管理现代化水平。以福建省典型林药复合系统为研究对象,系统梳理林下微环境的核心监测指标,集成多类型实时传感器和定期高通量分析,实现对光环境、微气候、空气质量、土壤及植被响应等生态因子的动态监测。基于监测数据,提出针对不同林型和药材种类的环境精准调控策略,构建“监测—诊断—调控—反馈”闭环管理体系,并在多地进行实际应用与效果评估。经过在福建宁德、三明等地30余家基地的应用示范,智能监测与调控体系显著提升了林下环境的稳定性,土壤含水率处于适宜区间的时间比例提高25%,药材产量提升18%,光照、水分和养分等资源利用效率均提升20%以上。同时,系统实现了与地市级林业信息化平台的数据对接与智能管理。

       

      Abstract: In order to solve the problems of complex understory environment and the difficulty of traditional management in achieving accurate monitoring and dynamic regulation of key ecological factors in the tree-herb system, this study aimed to construct the scientific and systematic intelligent monitoring index system and regulation system, and to improve the management modernization level of compound forest-medicinal plant system. By taking the typical compound forest-medicinal plant system in Fujian Province as the research object, the core monitoring indicators of understory microenvironment were systematically sorted out. Then, the multiple types of real-time sensors and regular high-throughput analysis were integrated to achieve the dynamic monitoring of ecological factors such as luminous environment, microclimate, air quality, soil and vegetation response. Based on the monitoring data, the environmental precise regulation strategy for different forest types and medicinal material species was put forward, and the closed-loop management system of "monitoring-diagnosis-regulation-feedback" was constructed, and also the practical application and effect evaluation were carried out in many places. After the application and demonstration in more than 30 bases in Ningde and Sanming of Fujian Province, the intelligent monitoring and regulation system significantly improved the stability of the understory environment. The proportion of time when the soil moisture content was in the appropriate range increased by 25%, the yield of medicinal materials increased by 18%, and the utilization efficiency of light, water and nutrients increased by more than 20%. At the same time, the system realized the data docking and intelligent management with the municipal level forestry information platform.

       

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