Data from: A new multistage dynamic model for biological control exemplified by the host–parasitoid system Spodoptera exigua–Chelonus oculator

Over the last few decades, important advances have been made in our understanding of host-parasitoid relations and their applications to biological pest control. Not only has the number of agent species increased, but new manipulation techniques for natural enemies have also been empirically introduced, particularly in greenhouse crops. This makes biocontrol more complex, requiring a new mathematical modelling approach appropriate for the optimization of the release of agents. We developed a temperature- and stage-dependent dynamic mathematical model of the host-parasitoid system with an improved functional response. The model is appropriate not only for simulation analysis of the efficiency of biocontrol agents, but also for the application of optimal control methodology for the optimal timing of agent releases, and for the consideration of economic implications. Based on both laboratory and greenhouse trials, the model was validated and fitted to the data of Chelonus oculator (F.) (Hym.: Braconidae), a biological control agent against the beet armyworm, Spodoptera exigua Hübner (Lep.: Noctuidae). We emphasize that this model can be easily adapted to other interacting species involved in biological or integrated pest control with either parasitoid or predator agents.近数十年来，学界在寄主-寄生蜂（host-parasitoid）互作关系及其在生物害虫防治中的应用研究领域取得了重要进展。不仅生防因子物种的数量持续增长，针对天敌的新型调控技术也已通过实证得以推广应用，尤其在温室作物种植场景中。这使得生物防治工作愈发复杂，亟需适配生防因子释放优化需求的全新数学建模方案。本研究构建了一款温度与虫态依赖型的寄主-寄生蜂系统动态数学模型，并对功能反应模型进行了改进。该模型不仅可用于生防因子防控效率的模拟分析，还可借助最优控制方法确定生防因子的最佳释放时机，同时可兼顾经济效应的考量。基于室内与温室试验数据，本研究对该模型进行了验证与参数拟合，所用试验对象为卷蛾盘绒茧蜂（Chelonus oculator (F.)，膜翅目：茧蜂科）——一种针对甜菜夜蛾（Spodoptera exigua Hübner，鳞翅目：夜蛾科）的生防因子。需特别强调的是，本模型可轻松适配其他涉及寄生性或捕食性生防因子的生物防治或害虫综合治理互作物种体系。