Laboratory for Energy Conversion, ETH Zürich, Zurich, Switzerland.
Swiss Ornithological Institute, Sempach, Switzerland.
J Theor Biol. 2018 Oct 7;454:126-138. doi: 10.1016/j.jtbi.2018.05.039. Epub 2018 Jun 3.
Crossing of large ecological barriers, such as mountains, is in terms of energy considered to be a demanding and critical step during bird migration. Besides forming a geographical barrier, mountains have a profound impact on the resulting wind flow. We use a novel framework of mathematical models to investigate the influences of wind and topography on nocturnal passerine bird behaviour, and to assess the energy costs for different flight strategies for crossing the Jura Mountains. The mathematical models include three biological models of bird behaviour: i) wind drift compensation; ii) adaptation of flight height for favourable winds; and, iii) avoidance of obstacles (cross over and/or circumvention of an obstacle following a minimum energy expenditure strategy), which are assessed separately and in combination. Further, we use a mesoscale weather model for high-resolution predictions of the wind fields. We simulate the broad front nocturnal passerine migration for autumn nights with peak migration intensities. The bird densities retrieved from a weather radar are used as the initial intensities and to specify the vertical distributions of the simulated birds. It is shown that migration over complex terrain represents the most expensive flight option in terms of energy expenditure, and wind is seen to be the main factor that influences the energy expenditure in the bird's preferred flight direction. Further, the combined effects of wind and orography lead to a high concentration of migratory birds within the favourable wind conditions of the Swiss lowlands and north of the Jura Mountains.
跨越大型生态障碍,如山脉,在能量方面被认为是鸟类迁徙过程中要求苛刻和关键的一步。除了形成地理障碍外,山脉对风的流动也有深远的影响。我们使用一种新颖的数学模型框架来研究风况和地形对夜间雀形目鸟类行为的影响,并评估穿越汝拉山脉的不同飞行策略的能量成本。数学模型包括三种鸟类行为的生物模型:i)风漂移补偿;ii)适应顺风的飞行高度;和,iii)避免障碍物(遵循最小能量消耗策略的交叉或绕过障碍物),这些模型分别和组合进行评估。此外,我们使用中尺度天气模型对风场进行高分辨率预测。我们模拟了秋季夜间高峰迁徙强度的宽阔前线夜间雀形目鸟类迁徙。天气雷达获取的鸟类密度被用作模拟鸟类初始强度和指定模拟鸟类垂直分布的参数。结果表明,在复杂地形上的迁徙代表了最昂贵的飞行选择,因为能量消耗最大,而风被认为是影响鸟类首选飞行方向能量消耗的主要因素。此外,风和地形的综合作用导致了在瑞士低地和汝拉山脉北部的顺风条件下有大量候鸟聚集。