Behavioral responses to spring snow conditions contribute to long-term shift in migration phenology in American robins
Abstract Migratory birds have the capacity to shift their migration phenology in response to climatic change. Yet the mechanistic underpinning of changes in migratory timing remain poorly understood. We employed newly developed global positioning system (GPS) tracking devices and long-term dataset o...
Published in: | Environmental Research Letters |
---|---|
Main Authors: | , , , , , , , |
Other Authors: | , |
Format: | Article in Journal/Newspaper |
Language: | unknown |
Published: |
IOP Publishing
2020
|
Subjects: | |
Online Access: | http://dx.doi.org/10.1088/1748-9326/ab71a0 https://iopscience.iop.org/article/10.1088/1748-9326/ab71a0 https://iopscience.iop.org/article/10.1088/1748-9326/ab71a0/pdf |
id |
crioppubl:10.1088/1748-9326/ab71a0 |
---|---|
record_format |
openpolar |
spelling |
crioppubl:10.1088/1748-9326/ab71a0 2024-06-02T08:02:12+00:00 Behavioral responses to spring snow conditions contribute to long-term shift in migration phenology in American robins Oliver, Ruth Y Mahoney, Peter J Gurarie, Eliezer Krikun, Nicole Weeks, Brian C Hebblewhite, Mark Liston, Glen Boelman, Natalie National Science Foundation National Aeronautics and Space Administration 2020 http://dx.doi.org/10.1088/1748-9326/ab71a0 https://iopscience.iop.org/article/10.1088/1748-9326/ab71a0 https://iopscience.iop.org/article/10.1088/1748-9326/ab71a0/pdf unknown IOP Publishing http://creativecommons.org/licenses/by/4.0/ https://iopscience.iop.org/info/page/text-and-data-mining Environmental Research Letters volume 15, issue 4, page 045003 ISSN 1748-9326 journal-article 2020 crioppubl https://doi.org/10.1088/1748-9326/ab71a0 2024-05-07T14:06:30Z Abstract Migratory birds have the capacity to shift their migration phenology in response to climatic change. Yet the mechanistic underpinning of changes in migratory timing remain poorly understood. We employed newly developed global positioning system (GPS) tracking devices and long-term dataset of migration passage timing to investigate how behavioral responses to environmental conditions relate to phenological shifts in American robins ( Turdus migratorius ) during spring migration to Arctic-boreal breeding grounds. We found that over the past quarter-century (1994–2018), robins have migrated ca. 5 d/decade earlier. Based on GPS data collected for 55 robins over three springs (2016–2018), we found the arrival timing and likelihood of stopovers, and timing of arrival to breeding grounds, were strongly influenced by dynamics in snow conditions along migratory paths. These findings suggest plasticity in migratory behavior may be an important mechanism for how long-distance migrants adjust their breeding phenology to keep pace with advancement of spring on breeding grounds. Article in Journal/Newspaper Arctic IOP Publishing Arctic Environmental Research Letters 15 4 045003 |
institution |
Open Polar |
collection |
IOP Publishing |
op_collection_id |
crioppubl |
language |
unknown |
description |
Abstract Migratory birds have the capacity to shift their migration phenology in response to climatic change. Yet the mechanistic underpinning of changes in migratory timing remain poorly understood. We employed newly developed global positioning system (GPS) tracking devices and long-term dataset of migration passage timing to investigate how behavioral responses to environmental conditions relate to phenological shifts in American robins ( Turdus migratorius ) during spring migration to Arctic-boreal breeding grounds. We found that over the past quarter-century (1994–2018), robins have migrated ca. 5 d/decade earlier. Based on GPS data collected for 55 robins over three springs (2016–2018), we found the arrival timing and likelihood of stopovers, and timing of arrival to breeding grounds, were strongly influenced by dynamics in snow conditions along migratory paths. These findings suggest plasticity in migratory behavior may be an important mechanism for how long-distance migrants adjust their breeding phenology to keep pace with advancement of spring on breeding grounds. |
author2 |
National Science Foundation National Aeronautics and Space Administration |
format |
Article in Journal/Newspaper |
author |
Oliver, Ruth Y Mahoney, Peter J Gurarie, Eliezer Krikun, Nicole Weeks, Brian C Hebblewhite, Mark Liston, Glen Boelman, Natalie |
spellingShingle |
Oliver, Ruth Y Mahoney, Peter J Gurarie, Eliezer Krikun, Nicole Weeks, Brian C Hebblewhite, Mark Liston, Glen Boelman, Natalie Behavioral responses to spring snow conditions contribute to long-term shift in migration phenology in American robins |
author_facet |
Oliver, Ruth Y Mahoney, Peter J Gurarie, Eliezer Krikun, Nicole Weeks, Brian C Hebblewhite, Mark Liston, Glen Boelman, Natalie |
author_sort |
Oliver, Ruth Y |
title |
Behavioral responses to spring snow conditions contribute to long-term shift in migration phenology in American robins |
title_short |
Behavioral responses to spring snow conditions contribute to long-term shift in migration phenology in American robins |
title_full |
Behavioral responses to spring snow conditions contribute to long-term shift in migration phenology in American robins |
title_fullStr |
Behavioral responses to spring snow conditions contribute to long-term shift in migration phenology in American robins |
title_full_unstemmed |
Behavioral responses to spring snow conditions contribute to long-term shift in migration phenology in American robins |
title_sort |
behavioral responses to spring snow conditions contribute to long-term shift in migration phenology in american robins |
publisher |
IOP Publishing |
publishDate |
2020 |
url |
http://dx.doi.org/10.1088/1748-9326/ab71a0 https://iopscience.iop.org/article/10.1088/1748-9326/ab71a0 https://iopscience.iop.org/article/10.1088/1748-9326/ab71a0/pdf |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Environmental Research Letters volume 15, issue 4, page 045003 ISSN 1748-9326 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ https://iopscience.iop.org/info/page/text-and-data-mining |
op_doi |
https://doi.org/10.1088/1748-9326/ab71a0 |
container_title |
Environmental Research Letters |
container_volume |
15 |
container_issue |
4 |
container_start_page |
045003 |
_version_ |
1800746696616968192 |