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-寄生蜂关系（host-parasitoid relations）及其在生物害虫防治（biological pest control）中的应用研究方面取得了重要进展。不仅天敌物种的数量有所增加，针对自然天敌的新型操控技术也已通过实证验证并投入应用，尤其在温室作物种植场景中。这一现状令生物防治工作愈发复杂，亟需适配天敌释放优化需求的全新数学建模方法。我们构建了一类具备改进型功能反应（functional response）的、温度与虫期双依赖的寄主-寄生蜂系统动态数学模型。该模型不仅可用于生防因子（biocontrol agents）防控效率的模拟分析，还可借助最优控制方法（optimal control methodology）确定天敌释放的最佳时机，同时能够评估防治方案的经济影响。基于实验室与温室试验数据，我们对该模型进行了验证与参数拟合，其适配对象为防治甜菜夜蛾（Spodoptera exigua Hübner，Lep.: Noctuidae）的生防因子——卷蛾分索茧蜂（Chelonus oculator (F.)，Hym.: Braconidae）。需特别指出的是，本模型可便捷地适配其他以寄生性或捕食性天敌为防控因子的生物防治或综合防治交互物种体系。