Department of Biology, Lund University, Ecology Building, 223 62 Lund, Sweden.
Proc Biol Sci. 2024 Jun;291(2024):20240624. doi: 10.1098/rspb.2024.0624. Epub 2024 Jun 5.
Optimal migration theory prescribes adaptive strategies of energy, time or mortality minimization. To test alternative hypotheses of energy- and time-minimization migration we used multisensory data loggers that record time-resolved flight activity and light for positioning by geolocation in a long-distance migratory shorebird, the little ringed plover, . We could reject the hypothesis of energy minimization based on a relationship between stopover duration and subsequent flight time as predicted for a time minimizer. We found seasonally diverging slopes between stopover and flight durations in relation to the progress (time) of migration, which follows a time-minimizing policy if resource gradients along the migration route increase in autumn and decrease in spring. Total flight duration did not differ significantly between autumn and spring migration, although spring migration was 6% shorter. Overall duration of autumn migration was longer than that in spring, mainly owing to a mid-migration stop in most birds, when they likely initiated moult. Overall migration speed was significantly different between autumn and spring. Migratory flights often occurred as runs of two to seven nocturnal flights on adjacent days, which may be countering a time-minimization strategy. Other factors may influence a preference for nocturnal migration, such as avoiding flight in turbulent conditions, heat stress and diurnal predators.
最优迁移理论规定了能量、时间或死亡率最小化的适应性策略。为了测试能量和时间最小化迁移的替代假设,我们使用多感官数据记录器来记录小环杓鹬的实时飞行活动和光,以便通过地理定位进行位置定位。该小环杓鹬是一种长距离迁徙的涉禽。我们可以拒绝基于停留时间与随后飞行时间之间关系的能量最小化假设,因为这与时间最小化者的预测相符。我们发现,在与迁徙进展(时间)相关的停留和飞行时间之间,季节性地出现了斜率分歧,如果迁徙路线上的资源梯度在秋季增加而在春季减少,则遵循时间最小化策略。尽管春季迁徙短 6%,但秋季和春季迁徙的总飞行时间没有显著差异。秋季迁徙的总持续时间长于春季,主要是因为大多数鸟类在中途停留,此时它们可能开始换羽。秋季和春季的整体迁徙速度有显著差异。迁徙飞行通常是相邻日子的两到七次夜间飞行的连续飞行,这可能是在对抗时间最小化策略。其他因素可能会影响对夜间迁徙的偏好,例如避免在不稳定的条件、热应激和日间捕食者中飞行。