首页> 外文期刊>Ecological indicators >The frost wave hypothesis: How the environment drives autumn departure of migratory waterfowl
【24h】

The frost wave hypothesis: How the environment drives autumn departure of migratory waterfowl

机译:霜波假设:环境如何推动秋天偏离迁徙的水禽

获取原文
获取原文并翻译 | 示例
           

摘要

Migration phenology plays a critical role in shaping bird life histories. While the spring migration phenology of birds has been widely studied, our understanding about the mechanisms underlying autumn migration is limited. Frost is an indicator of cold weather, food scarcity, and water unavailability, but how frost drives the autumn departure of migratory birds has not yet been quantified. In this study we propose the 'frost wave hypothesis', which posits that the autumn departure of waterfowl is driven by a successive wave of the onset of frost. Using bird satellite tracking data and generalized linear mixed models, we analyze how the departure probability of two waterfowl species during autumn migration is affected by frost, accumulated temperature, food, snow, ice, short-term weather conditions (i.e., wind, temperature and precipitation), remaining migration distances, relative stopover duration, and flight distances between stopover sites. We find that bird autumn departure probability sharply increases after the first frost spell when the accumulated temperature reaches 0 degrees C, facilitated by surface meridional wind and longer remaining migration distances. We underline the dominant effect of frost on autumn departure, as birds tend to leave even under head wind if the time lag since the onset of frost is large. Time constraints that trigger southward departure are likely to be stronger when migrating birds are still far from their wintering site. By riding the frost wave, birds manage to maximize stopover site utilization while escaping harsh environmental conditions. Our findings improve the understanding of annual avian migration and help quantify the impact of global climate change on migratory waterfowl.
机译:迁移候选在塑造鸟类生活历史中起着重要作用。虽然鸟类的春季迁移候选人士被广泛研究,但我们对秋季迁徙的机制的理解有限。霜是寒冷天气,食物稀缺和水不可用的指标,但弗罗斯特如何推动秋天的迁徙鸟类尚未量化。在这项研究中,我们提出了“霜波假设”,该秋季偏离水禽的秋季偏离是由霜发作的连续浪潮驱动。使用鸟卫星跟踪数据和广义线性混合模型,我们分析了秋季迁移期间两种水禽种类的偏离概率是如何受霜冻,累积温度,食品,雪,冰,短期天气条件(即风,温度和降水),剩余的迁移距离,相对遥差持续时间和遥差站之间的飞行距离。我们发现,当累积温度达到0摄氏度时,鸟秋偏离概率在第一霜法术达到0℃时,通过表面化的风和较长的迁移距离促进,促进。我们强调了霜冻在秋天离开的主导效果,因为如果弗罗斯特发病以来的时间滞后,鸟类甚至在脑风下留下即使是大的。当迁移鸟类距离越冬场地仍然很远,触发南部出发的时间限制可能更强大。通过乘坐霜波,鸟类可以在逃避恶劣环境条件的同时最大限度地提高遥迁现场利用率。我们的调查结果提高了对年度禽流禽的理解,并帮助量化全球气候变化对迁徙水禽的影响。

著录项

  • 来源
    《Ecological indicators》 |2019年第6期|1018-1025|共8页
  • 作者

    Xu Fei; Si Yali;

  • 作者单位

    Tsinghua Univ Minist Educ Key Lab Earth Syst Modeling Beijing Peoples R China|Tsinghua Univ Dept Earth Syst Sci Beijing Peoples R China;

    Tsinghua Univ Minist Educ Key Lab Earth Syst Modeling Beijing Peoples R China|Tsinghua Univ Dept Earth Syst Sci Beijing Peoples R China|Wageningen Univ Resource Ecol Grp Wageningen Netherlands;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Autumn migration; Migration phenology; Temperature; Food deterioration; Wind selectivity;

    机译:秋季迁移;迁移候选;温度;食物劣化;风选择性;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号