Invasive alien species (IAS) threaten world biodiversity, ecosystem services, and economic welfare. While existing literature has characterized the optimal control of an established IAS, it has not considered how research and development (R&D) into new removal methods or technologies can affect management decisions and costs over time. R&D can lower the costs of control in a management plan and creates an intertemporal trade-off between quick but costly control and gradual but cheaper removal over time. In this paper, we develop and solve a continuous time dynamic optimization model to study how investment in R&D influences the optimal control of an established invasive species. After characterizing the dynamic model solution, we solve the model numerically to study the benefits from R&D in the management of the brown tree snake (Boiga irregularis), and explore how optimal solutions vary across economic and biological conditions. We find that the introduction of R&D significantly reduces overall costs of IAS and management and that the cost reductions substantially outweigh research expenditure. These results imply that policymakers seeking to control IAS should consider R&D as a vital component of cost effective control strategies.

外来入侵物种 (IAS) 威胁着世界生物多样性、生态系统服务和经济福利。虽然现有文献描述了已建立的 IAS 的最佳控制，但它没有考虑到新的去除方法或技术的研发 (R&D) 会如何影响管理决策和成本。研发可以降低管理计划中的控制成本，并在快速但成本高昂的控制与逐渐但成本更低的移除之间建立跨期权衡。在本文中，我们开发并解决了一个连续时间动态优化模型，以研究研发投资如何影响已建立的入侵物种的最优控制。在表征动态模型解决方案之后，我们对模型进行数值求解，以研究研发在棕树蛇管理中的收益（Boiga irregularis），并探索最佳解决方案如何因经济和生物条件而异。我们发现研发的引入显着降低了 IAS 和管理的总体成本，并且成本降低大大超过了研究支出。这些结果意味着寻求控制 IAS 的政策制定者应该将研发视为具有成本效益的控制策略的重要组成部分。