Ontogenetic shifts from social to experiential learning drive avian migration timing

被引:39
作者
Abrahms, Briana [1 ]
Teitelbaum, Claire S. [2 ]
Mueller, Thomas [3 ,4 ]
Converse, Sarah J. [5 ,6 ]
机构
[1] Univ Washington, Dept Biol, Ctr Ecosyst Sentinels, Seattle, WA 98195 USA
[2] Univ Georgia, Odum Sch Ecol, Athens, GA 30602 USA
[3] Goethe Univ Frankfurt, Dept Biol Sci, Frankfurt, Germany
[4] Senckenberg Biodivers & Climate Res Ctr, Frankfurt, Germany
[5] Univ Washington, Sch Environm & Forest Sci, Washington Cooperat Fish & Wildlife Res Unit, US Geol Survey, Seattle, WA 98195 USA
[6] Univ Washington, Sch Aquat & Fishery Sci, Seattle, WA 98195 USA
关键词
AGE; INNOVATION; MOVEMENT;
D O I
10.1038/s41467-021-27626-5
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Learning from one's own experience, and/or social learning from older individuals, could influence decision-making in migrating birds. Here the authors analyse 16 years of tracking data on whooping cranes to show that whether social or experiential learning is the dominant process in migration timing depends on life stage. Migrating animals may benefit from social or experiential learning, yet whether and how these learning processes interact or change over time to produce observed migration patterns remains unexplored. Using 16 years of satellite-tracking data from 105 reintroduced whooping cranes, we reveal an interplay between social and experiential learning in migration timing. Both processes dramatically improved individuals' abilities to dynamically adjust their timing to track environmental conditions along the migration path. However, results revealed an ontogenetic shift in the dominant learning process, whereby subadult birds relied on social information, while mature birds primarily relied on experiential information. These results indicate that the adjustment of migration phenology in response to the environment is a learned skill that depends on both social context and individual age. Assessing how animals successfully learn to time migrations as environmental conditions change is critical for understanding intraspecific differences in migration patterns and for anticipating responses to global change.
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页数:8
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