Summary & Purpose

In migratory birds, among- and within-species heterogeneity in response to climate change may be attributed to differences in migration distance and, consequently, environmental cues that affect timing of arrival at breeding grounds. We used eBird observations and a within-species comparative approach to examine whether migration distance (with latitude as a proxy) and climate explain spring arrival dates in a raptor species with a widespread distribution and diverse migration strategies, the American Kestrel Falco sparverius. We found an interactive effect between latitude and spring minimum temperatures on arrival dates, where at lower latitudes (short-distance migrants) kestrels arrived earlier in warmer springs and later in colder springs, but kestrels at higher latitudes (long-distance migrants) showed no association between arrival timing and spring temperatures. Increased snow water equivalent delayed arrival at all latitudes. Results support the hypothesis that short-distance migrants are better able to respond to conditions on the breeding ground than long-distance migrants, suggesting that long-distance migrants may be more vulnerable to shifts in spring conditions that could lead to phenological mismatch.

Author Identifier

Breanna F. Powers, ORCID: 0000-0002-1288-2624
Julie A. Heath, ORCID: 0000-0002-9606-1689

Date of Publication or Submission

7-9-2020

DOI

10.18122/bio_data/5/boisestate

Funding Citation

This work was supported in-part by the Department of Biological Sciences and Raptor Research Center at Boise State University, the NSF Idaho EPSCoR Program under award number OIA‐1757324, and the Department of Defense Strategic Environmental Research and Development Program (RC 2702).

Data Source Credits

eBird. 2017. eBird: An online database of bird distribution and abundance [web application]. eBird, Cornell Lab of Ornithology, Ithaca, New York. Available: http://www.ebird.org. (Accessed: Date, October 11, 2019]).

Thornton, P.E., Thornton, M.M., Mayer, B.W., Wei, Y., Devarakonda, R., Vose, R.S, &. Cook, R.B. 2019. Daymet: Daily Surface Weather Data on a 1-km Grid for North America. Version3. ORNL DAAC, Oak Ridge, Tennessee, USA.

Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. 2017. Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment 202:18-27.

Single Dataset or Series?

Single Dataset

Data Format

.csv; .txt

Data Attributes

See Data_description.txt

Time Period

2002-2018

Privacy and Confidentiality Statement

Boise State is explicitly compliant with federal and state laws surrounding data privacy including the protection of personal financial information through the Gramm-Leach-Bliley Act, personal medical information through HIPAA, HITECH and other regulations. All human subject data (e.g., surveys) has been collected and managed only by personnel with adequate human subject protection certification.

Use Restrictions

Users are free to share, copy, distribute and use the dataset; to create or produce works from the dataset; to adapt, modify, transform and build upon the dataset as long as the user attributes any public use of the dataset, or works produced from the dataset, referencing the author(s) and DOI link. For any use or redistribution of the dataset, or works produced from it, the user must make clear to others the license of the dataset and keep intact any notices on the original dataset.

Disclaimer of Warranty

BOISE STATE UNIVERSITY MAKES NO REPRESENTATIONS ABOUT THE SUITABILITY OF THE INFORMATION CONTAINED IN OR PROVIDED AS PART OF THE SYSTEM FOR ANY PURPOSE. ALL SUCH INFORMATION IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND. BOISE STATE UNIVERSITY HEREBY DISCLAIMS ALL WARRANTIES AND CONDITIONS WITH REGARD TO THIS INFORMATION, INCLUDING ALL WARRANTIES AND CONDITIONS OF MERCHANTABILITY, WHETHER EXPRESS, IMPLIED OR STATUTORY, FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT.

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