Crossmark

Machine learned daily life history classification using low frequency tracking data and automated modelling pipelines: application to North American waterfowl

Crossref DOI link: https://doi.org/10.1186/s40462-022-00324-7

Published Online: 2022-05-16

Published Print: 2022-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Overton, Cory https://orcid.org/0000-0002-5060-7447
Casazza, Michael

Bretz, Joseph

McDuie, Fiona

Matchett, Elliott

Mackell, Desmond

Lorenz, Austen

Mott, Andrea

Herzog, Mark

Ackerman, Josh
Funding

Funding for this research was provided by:

U.S. Geological Survey

U.S. Geological Survey Cloud Hosting Services

California Department of Water Resources, Suisun Marsh Branch
License Information

Text and Data Mining valid from 2022-05-16

Version of Record valid from 2022-05-16
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Article History

Received: 5 January 2022

Accepted: 3 May 2022

First Online: 16 May 2022

Declarations

:

: All procedures were reviewed and approved by the USGS Western Ecological Research Center Institutional Animal Use and Care Committee (Reviewed and Approved 2015). Authorization to capture and radio mark birds was granted through the U.S. Geological Survey Bird Banding Lab (Permit #21142).

: Not applicable.

: The authors declare that they have no competing interests.

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