Cardiff School of Mathematics Cardiff University, Senghennydd Road, Cardiff, CF24 4AG, UK.
University of Sussex, John Maynard Smith Building, Falmer, Brighton, BN1 9RH, UK.
Bull Math Biol. 2024 Jan 10;86(2):16. doi: 10.1007/s11538-023-01233-5.
We present models of bat motion derived from radio-tracking data collected over 14 nights. The data presents an initial dispersal period and a return to roost period. Although a simple diffusion model fits the initial dispersal motion we show that simple convection cannot provide a description of the bats returning to their roost. By extending our model to include non-autonomous parameters, or a leap frogging form of motion, where bats on the exterior move back first, we find we are able to accurately capture the bat's motion. We discuss ways of distinguishing between the two movement descriptions and, finally, consider how the different motion descriptions would impact a bat's hunting strategy.
我们展示了从 14 个夜晚收集的无线电追踪数据中得出的蝙蝠运动模型。该数据呈现出初始扩散期和返回栖息地的时期。尽管简单的扩散模型可以拟合初始扩散运动，但我们表明，简单的对流运动无法描述蝙蝠返回栖息地的过程。通过将我们的模型扩展到包含非自治参数，或者采用跳跃式运动形式，即外部的蝙蝠先返回，我们发现我们能够准确地捕捉蝙蝠的运动。我们讨论了区分这两种运动描述的方法，最后，考虑了不同的运动描述将如何影响蝙蝠的狩猎策略。
