School of Biological Sciences, University of Aberdeen, Aberdeen, UK.
Área de Plagas, Instituto Tecnológico Agrario de Castilla-y-León (ITACyL), Valladolid, Spain.
Ecol Lett. 2022 Sep;25(9):1986-1998. doi: 10.1111/ele.14074. Epub 2022 Jul 31.
The dynamics of cyclic populations distributed in space result from the relative strength of synchronising influences and the limited dispersal of destabilising factors (activators and inhibitors), known to cause multi-annual population cycles. However, while each of these have been well studied in isolation, there is limited empirical evidence of how the processes of synchronisation and activation-inhibition act together, largely owing to the scarcity of datasets with sufficient spatial and temporal scale and resolution. We assessed a variety of models that could be underlying the spatio-temporal pattern, designed to capture both theoretical and empirical understandings of travelling waves using large-scale (>35,000 km ), multi-year (2011-2017) field monitoring data on abundances of common vole (Microtus arvalis), a cyclic agricultural rodent pest. We found most support for a pattern formed from the summation of two radial travelling waves with contrasting speeds that together describe population growth rates across the region.
在空间中分布的周期性种群的动态是由同步影响的相对强度和导致多年种群周期的不稳定因素(激活剂和抑制剂)的有限扩散决定的。然而,尽管这些因素在孤立的情况下都得到了很好的研究,但关于同步和激活-抑制过程如何共同作用的经验证据有限,这主要是由于具有足够的空间和时间尺度和分辨率的数据集稀缺。我们评估了各种可能构成时空模式的模型,这些模型旨在利用大规模(>35,000 公里)、多年(2011-2017 年)的田野监测数据,捕获关于常见田鼠(Microtus arvalis)丰度的理论和经验理解,这是一种周期性的农业啮齿动物害虫。我们发现,最支持由两个具有相反速度的径向传播波的总和形成的模式,这两个波共同描述了整个地区的种群增长率。