Applied Mathematics, University of California Merced, Merced, California, United States of America.
PLoS One. 2012;7(11):e50277. doi: 10.1371/journal.pone.0050277. Epub 2012 Nov 16.
We present a systematic and quantitative model of huddling penguins. In this mathematical model, each individual penguin in the huddle seeks only to reduce its own heat loss. Consequently, penguins on the boundary of the huddle that are most exposed to the wind move downwind to more sheltered locations along the boundary. In contrast, penguins in the interior of the huddle neither have the space to move nor experience a significant heat loss, and they therefore remain stationary. Through these individual movements, the entire huddle experiences a robust cumulative effect that we identify, describe, and quantify. This mathematical model requires a calculation of the wind flowing around the huddle and of the resulting temperature distribution. Both of these must be recomputed each time an individual penguin moves since the huddle shape changes. Using our simulation results, we find that the key parameters affecting the huddle dynamics are the number of penguins in the huddle, the wind strength, and the amount of uncertainty in the movement of the penguins. Moreover, we find that the lone assumption of individual penguins minimizing their own heat loss results in all penguins having approximately equal access to the warmth of the huddle.
我们提出了一个关于企鹅聚集的系统和定量模型。在这个数学模型中,聚集中的每只企鹅都只寻求减少自身的热量损失。因此,暴露在风中最多的聚集边界上的企鹅会向下风向移动,到边界上更避风的位置。相比之下,聚集内部的企鹅既没有空间移动,也没有经历显著的热量损失,因此它们保持静止。通过这些个体的运动,整个聚集体经历了一个强大的累积效应,我们对其进行了识别、描述和量化。这个数学模型需要计算风在聚集体周围的流动和由此产生的温度分布。由于聚集形状的变化,每次一只企鹅移动时都必须重新计算这两个参数。通过我们的模拟结果,我们发现影响聚集体动力学的关键参数是聚集体中的企鹅数量、风力强度和企鹅运动的不确定性程度。此外,我们发现,仅假设每只企鹅都将自身的热量损失最小化,就可以使所有企鹅大致平等地获得聚集体的温暖。