Zhang Junjian, Li Xianghuang, Deng Xueqin, Damba Iderbat, Batbayar Nyambayar, Xu Zhenggang, Zhang Yong, Cao Lei, Fox Anthony David
State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.
East China Sea Survey Center, Ministry of Natural Resources, Shanghai, China.
Mov Ecol. 2025 Aug 14;13(1):58. doi: 10.1186/s40462-025-00583-0.
Migratory phenology affects fitness and therefore plays a crucial role in the annual life cycle of migrants. Various indicators in relation to the migration patterns of Arctic nesting birds have been well studied (e.g. vegetation production), but we still lack knowledge from lower latitudes, e.g. the Mongolian Plateau, which is one of the top-priority regions for avian research and conservation.
We used 208 spring and 248 autumn migration tracks from individually tagged Swan Geese Anser cygnoides (SG) and Greylag Geese A. anser (GG) from four geographically discrete breeding groups across the Mongolian Plateau. We analyzed the difference in their migratory timing, how they responded to nine environmental metrics as indicators of environmental change, and the probability of spring arrival and autumn departure.
We found significant differences in spring and autumn departure times between species, yet their arrival times were similar, although the migration phenology of eastern nesting birds differed significantly from those in central and western Mongolia. Their spring migration followed the onset of daily temperature reaching 0 °C, but was not correlated with indices of plant green-up, which occurred behind them along their migration routes. The autumn departure phenology of SG exhibited stronger responses to 0 °C nighttime temperatures, while the GG responded more to 0 °C cumulative temperatures.
Two goose species follow behind the daily 0 °C and before the green-up of plants in spring, allowing the time of hatching of goslings to coincide with the plant growth peak, ensuring a predictable food supply for the nidifugous juveniles. Vegetation and snow metrics were not appropriate indicators to predict the migration process of either species, due to the lack of strong latitudinal gradients in plant growth and long-term snow cover.
迁徙物候影响适应性,因此在候鸟的年度生命周期中起着至关重要的作用。与北极筑巢鸟类迁徙模式相关的各种指标已得到充分研究(例如植被生产力),但我们仍缺乏来自低纬度地区的知识,例如蒙古高原,它是鸟类研究和保护的重点地区之一。
我们使用了来自蒙古高原四个地理上分散的繁殖群体中个体标记的大天鹅(Anser cygnoides,SG)和灰雁(A. anser,GG)的208条春季和248条秋季迁徙轨迹。我们分析了它们迁徙时间的差异、它们对作为环境变化指标的九个环境指标的反应,以及春季到达和秋季离开的概率。
我们发现不同物种之间春季和秋季离开时间存在显著差异,但它们的到达时间相似,尽管东部筑巢鸟类的迁徙物候与蒙古中部和西部的鸟类有显著差异。它们的春季迁徙跟随日气温达到0°C的时间开始,但与植物返青指数无关,植物返青在它们的迁徙路线上滞后发生。大天鹅的秋季离开物候对0°C夜间温度表现出更强的反应,而灰雁对0°C累积温度反应更强。
两种鹅在春季日气温达到0°C之后、植物返青之前迁徙,使雏鹅孵化时间与植物生长高峰相吻合,确保为早成雏幼鸟提供可预测的食物供应。由于植物生长缺乏强烈的纬度梯度和长期积雪覆盖,植被和积雪指标不是预测任何一种物种迁徙过程的合适指标。