Journal
MARINE MAMMAL SCIENCE
Volume 31, Issue 3, Pages 1057-1076Publisher
WILEY
DOI: 10.1111/mms.12206
Keywords
abundance; aerial survey; latent state model; partial state observation; Phocidae; ice-associated seals; photo-identification; satellite imagery; species misclassification; species misidentification; species occurrence
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Funding
- U.S. National Oceanic and Atmospheric Administration
- U.S. Bureau of Ocean Energy Management [M12PG00017]
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Technological advances have facilitated collection of vast quantities of photographic data from aerial surveys of marine mammals. However, when it is difficult to distinguish species from a distance, reliable identification from aerial images can often be challenging. This is the case for ice-associated seals, species for which global climate change has motivated intensive monitoring efforts in recent years. We assess species and age class identification from aerial images of four ice seal species (bearded seals, Erignathus barbatus; ribbon seals, Histriophoca fasciata; ringed seals, Pusa hispida; spotted seals, Phoca largha) in the Bering Sea. We also investigate the specific phenomenological and behavioral traits commonly associated with species identification and observer confidence. We generally found species and age class misidentification occurred at relatively low levels, but only 83% of spotted seals tended to be correctly identified (with 11% mistaken as ribbon seals). We also found certain traits were strong predictors for observed species, age class, or observer confidence. Our findings add to the growing body of evidence that species misidentification is pervasive in passive sampling of animal populations. Even low levels of misidentification have been demonstrated to induce substantial biases in estimators of species distribution and abundance, and it is important that statistical models account for such errors.
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