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与当地温度相比,大规模气候模式对欧洲和非洲之间长途迁徙雀形目候鸟春季物候的滞后效应更强。

Large-Scale Climatic Patterns Have Stronger Carry-Over Effects than Local Temperatures on Spring Phenology of Long-Distance Passerine Migrants between Europe and Africa.

作者信息

Remisiewicz Magdalena, Underhill Les G

机构信息

Bird Migration Research Station, Faculty of Biology, University of Gdańsk, Wita Stwosza 59, 80-308 Gdańsk, Poland.

Department of Biological Sciences, University of Cape Town, Rondebosch, Cape Town 7701, South Africa.

出版信息

Animals (Basel). 2022 Jul 5;12(13):1732. doi: 10.3390/ani12131732.

Abstract

Earlier springs in temperate regions since the 1980s, attributed to climate change, are thought to influence the earlier arrival of long-distance migrant passerines. However, this migration was initiated weeks earlier in Africa, where the Southern Oscillation, Indian Ocean Dipole, North Atlantic Oscillation drive climatic variability, and may additionally influence the migrants. Multiple regressions investigated whether 15 indices of climate in Africa and Europe explained the variability in timing of arrival for seven trans-Saharan migrants. Our response variable was Annual Anomaly (AA), derived from standardized mistnetting from 1982-2021 at Bukowo, Polish Baltic Sea. For each species, the best models explained a considerable part of the annual variation in the timing of spring's arrival by two to seven climate variables. For five species, the models included variables related to temperature or precipitation in the Sahel. Similarly, the models included variables related to the North Atlantic Oscillation (for four species), Indian Ocean Dipole (three), and Southern Oscillation (three). All included the Scandinavian Pattern in the previous summer. Our conclusion is that climate variables operating on long-distance migrants in the areas where they are present in the preceding year drive the phenological variation of spring migration. These results have implications for our understanding of carry-over effects.

摘要

自20世纪80年代以来,温带地区春季提前出现,这归因于气候变化,据认为会影响长途迁徙雀形目鸟类更早到达。然而,这种迁徙在非洲提前数周就已开始,在非洲,南方涛动、印度洋偶极子、北大西洋涛动驱动着气候变率,并且可能额外影响这些迁徙鸟类。多元回归分析研究了非洲和欧洲的15个气候指数是否能解释7种跨撒哈拉迁徙鸟类到达时间的变异性。我们的响应变量是年度异常值(AA),它源自1982年至2021年在波兰波罗的海布科沃进行的标准化雾网捕获数据。对于每个物种,最佳模型用两到七个气候变量解释了春季到达时间年度变化的相当一部分。对于五个物种,模型包括与萨赫勒地区温度或降水相关的变量。同样,模型包括与北大西洋涛动(四个物种)、印度洋偶极子(三个物种)和南方涛动(三个物种)相关的变量。所有模型都纳入了前一年夏季的斯堪的纳维亚模式。我们的结论是,前一年长途迁徙鸟类所在地区的气候变量驱动了春季迁徙的物候变化。这些结果对我们理解遗留效应具有启示意义。

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