Harnessing the power of photo-ID data for apportionment to migratory whale herds: U.S. West Coast humpback whale stock proportions by latitude for the period 2019-2024
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2025
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Personal Author:Curtis, K. Alexandra ; Calambokidis, John ; Audley, Katherina ; Becker, Elizabeth A. ; Bejder, Lars ; Black, Nancy ; Carretta, James V. ; Cabanilles, Paula ; Castaneda, Melvin G. ; Cheeseman, Ted ; Currie, Jens J. ; de Luna, Enrique ; De Weerdt, Joëlle ; Doe, Nicole ; Doniol-Valcroze, Thomas ; Flynn, Kiirsten ; Forney, Karin A. ; Frisch-Jordán, Astrid ; Fry, Shauna ; Gabriele, Christine ; Gisborne, Brian ; Huggins, Jessica L. ; Lyman, Edward ; Martínez-Loustalot, Pamela ; McMillan, Christie J. ; Pack, Adam A. ; Quintana-Rizzo, Ester ; Ransome, Nicola ; Shaw, Tasli J. H. ; Szabo, Andy ; Torres, Leigh ; Urbán R., Jorge ; van Aswegen, Martin ; Wray, Janie ; Moore, Jeffrey
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Description:We develop a conceptually simple approach that leverages photo-identification data to estimate proportions from different populations at the migratory herd level for spatial strata in feeding areas, while accounting for unidirectional misclassification among wintering areas. We apply this model to characterize proportions of humpback whale stocks along the U.S. West Coast, including for U.S. waters of the Salish Sea, with subregional resolution. The resulting proportions agree qualitatively and quantitatively with previous knowledge of stock abundance and patterns with latitude, while providing updated estimates with improved precision and accuracy over previously available information.
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Rights Information:CC0 Public Domain
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Compliance:Submitted
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Main Document Checksum:urn:sha-512:d25d06c3ac582fde48f7ccb81b8df9638e35b8c91e477b82ecd5ae1b22a270748d8ccec3a6d38ede2b91851f748eaddfb22f5504ad1bf4273a6d0576092b8cbc
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