School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, 85287, USA.
Simon A. Levin Mathematical, Computational and Modeling Science Center, Arizona State University, Tempe, AZ, 85287, USA.
Ecol Lett. 2021 Feb;24(2):279-287. doi: 10.1111/ele.13640. Epub 2020 Nov 9.
Because of the profound ecological and economic impacts of many non-native insect species, early detection and eradication of newly founded, isolated populations is a high priority for preventing damages. Though successful eradication is often challenging, the effectiveness of several treatment methods/tactics is enhanced by the existence of Allee dynamics in target populations. Historically, successful eradication has often relied on the application of two or more tactics. Here, we examine how to combine three treatment tactics in the most cost-effective manner, either simultaneously or sequentially in a multiple-annum process. We show that each tactic is most efficient across a specific range of population densities. Furthermore, we show that certain tactics inhibit the efficiency of other tactics and should therefore not be used simultaneously; but since each tactic is effective at specific densities, different combinations of tactics should be applied sequentially through time when a multiple-annum eradication programme is needed.
由于许多非本地昆虫物种对生态和经济造成了深远影响,因此尽早发现和消灭新建立的孤立种群是预防损害的重中之重。尽管成功根除通常具有挑战性,但在目标种群中存在阿利效应时,几种处理方法/策略的有效性会得到增强。从历史上看,成功的根除通常依赖于两种或更多策略的应用。在这里,我们研究如何以最具成本效益的方式组合三种处理策略,无论是同时还是在多年的过程中顺序进行。我们表明,每种策略在特定的种群密度范围内效率最高。此外,我们还表明,某些策略会抑制其他策略的效率,因此不应同时使用;但是,由于每种策略在特定的密度下都有效,因此在需要多年根除计划时,应按时间顺序先后应用不同的策略组合。