Invasive plant and environmental pests can seriously impact environment, economy, health and amenity. It is challenging to form response policies given the diversity of pest species; complex spatiotemporal interplay between arrival, spread, surveillance, and control; and limited field data when pests are rare/absent. Models can provide useful decision support through the exploration of incursion pathways and comparison of surveillance and control strategies. However, increased use of quantitative models to inform pest management requires adaptable modelling frameworks. The new Australian Priority Pest and Disease modelling framework (APPDIS) allows pest models to be constructed through user configuration choices for a broad range of different pest types. Pest populations may be defined as point incursions, established populations, or estimated mechanistically from environmental criteria. Spread occurs at multiple scales, through either simple mathematical kernels, or more complex spatial pathways, depending on data availability and pest type. Useful experiments can be conducted on general surveillance, specific surveillance, and treatment regimes. Control activities are dynamically resource-constrained and costed for relative comparisons in terms of benefit and cost. A case study on a tramp ant incursion is provided for illustrative purposes.

入侵性植物和环境害虫会严重影响环境，经济，健康和舒适性。考虑到有害生物种类的多样性，制定应对政策具有挑战性；到达，传播，监视和控制之间复杂的时空相互作用；有害生物稀少/不存在时的田间数据有限。通过探索入侵途径以及比较监视和控制策略，模型可以提供有用的决策支持。但是，越来越多地使用定量模型来指导有害生物管理，需要适应性强的建模框架。新的澳大利亚优先病虫害建模框架（APPDIS）允许通过用户配置选择为各种不同的虫害类型构建虫害模型。害虫种群可定义为入侵点，既定种群，或根据环境标准进行机械估算。通过简单的数学核或更复杂的空间路径，可以根据数据的可获得性和有害生物的类型以多种尺度进行传播。可以在常规监视，特定监视和治疗方案上进行有用的实验。控制活动受到资源的动态限制，并在成本和收益方面进行相对比较。为了说明起见，提供了有关流浪汉入侵的案例研究。控制活动受到资源的动态限制，并在成本和收益方面进行相对比较。为了说明起见，提供了有关流浪汉入侵的案例研究。控制活动受到资源的动态限制，并在成本和收益方面进行相对比较。为了说明起见，提供了有关流浪汉入侵的案例研究。