黑龙江南部林区雀形目鸟类春季迁徙时间与气温和北极涛动的联系
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  • 英文篇名:Relationship Between Spring Migration Time of Passerine Birds and Temperature and Arctic Oscillation in Southern Forest Region of Heilongjiang Province
  • 作者:安玉鑫 ; 吴伟 ; 王毅鸿 ; 郑雯 ; 许青
  • 英文作者:AN Yuxin;WU Wei;WANG Yihong;ZHENG Wen;XU Qing;Northeast Forestry University;
  • 关键词:雀形目鸟类 ; 迁徙时间 ; 北极涛动指数 ; 气温变化
  • 英文关键词:Passerine birds;;Migration time;;Arctic oscillation index;;Temperature change
  • 中文刊名:YSDW
  • 英文刊名:Chinese Journal of Wildlife
  • 机构:东北林业大学;
  • 出版日期:2019-06-05 09:56
  • 出版单位:野生动物学报
  • 年:2019
  • 期:v.40
  • 语种:中文;
  • 页:YSDW201903026
  • 页数:8
  • CN:03
  • ISSN:23-1587/S
  • 分类号:193-200
摘要
基于东北林业大学帽儿山生态站1998—2018年10种候鸟的环志时间数据,将其首到日、峰值日、结束日与同期哈尔滨、尚志、通河3个气象站的逐年月平均气温、平均降水量以及北极涛动指数(AOI)逐月平均值之间进行相关性分析,探讨了黑龙江省南部林区雀形目鸟类迁徙时间与气温和AOI之间的联系。结果表明:(1)东北地区早春雀形目候鸟迁徙时间的变化能够反映出AOI的波动。(2) AOI上升会使春季候鸟迁徙时间提前,但春季迁徙时间较晚的鸟类对这种反应会逐渐减弱。(3) AOI和早春候鸟迁徙时间的变化的联系,是由于气温波动在之间起到了关键的连接作用。(4)春季迁徙时间较早的鸟类对AOI的反应具有明显的滞后现象,2月AOI对3、4月春季候鸟迁徙时间的影响极为明显,所以根据AOI的变化可提前预测当年早春候鸟的迁徙时间。
        Based on the ringing dates for 10 species of migratory birds from 1998 to 2018 at Mao'ershan Ecological Station of Northeast Forestry University,we used correlation analysis to describe relationships between dates of first arrival,peak arrival,and last arrival of ringed birds with monthly average temperature and rainfall, and monthly average Arctic Oscillation Index( AOI).Weather and AOI data were recorded at Harbin,Shangzhi,and Tonghe meteorological stations during the same periods annually. Our objective was to investigate the relationship between migration dates of passerine birds and weather and AOI in the southern forest region of Heilongjiang Province. Migration dates in early spring reflected fluctuations of AOI. Migration dates advance with increasing AOI values,but this response gradually weakened among birds migrating at later dates. The correlation between AOI and migration dates of birds in early spring was related to temperature fluctuation. The reaction to AOI of birds with early spring migration dates showed obvious hysteresis: increasing AOI values in February were correlated with migration starting in March and April. Based on variations in spring AOI values,we can predict early spring migration dates.
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