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.

我们提出了根据 14 个晚上收集的无线电跟踪数据得出的蝙蝠运动模型。数据显示了初始扩散期和回归栖息期。尽管简单的扩散模型适合初始扩散运动，但我们表明简单的对流无法提供蝙蝠返回栖息地的描述。通过扩展我们的模型以包含非自主参数或蛙跳运动形式（外部的蝙蝠首先向后移动），我们发现我们能够准确捕获蝙蝠的运动。我们讨论区分两种运动描述的方法，最后考虑不同的运动描述将如何影响蝙蝠的狩猎策略。