Passive acoustic monitoring of killer whales in the Gulf of Alaska 2019-2021 ...
Original provider: Hannah Myers Dataset credits: Hannah Myers, University of Alaska Fairbanks Abstract: Defining a marine mammal population’s calling rate can enable acoustic density estimation. We used killer whale dialects, long-term photo-identification, and year-round acoustic data across multip...
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| Format: | Dataset |
| Language: | English |
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OBIS-SEAMAP
2023
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| Online Access: | https://dx.doi.org/10.15468/5a6ng9 https://www.gbif.org/dataset/789c3647-4722-4e01-ac55-67ccd08e5280 |
| Summary: | Original provider: Hannah Myers Dataset credits: Hannah Myers, University of Alaska Fairbanks Abstract: Defining a marine mammal population’s calling rate can enable acoustic density estimation. We used killer whale dialects, long-term photo-identification, and year-round acoustic data across multiple locations to establish calling rates for three killer whale populations. This dataset includes acoustic detections of the AD8 and AD16 pods of southern Alaska resident (fish-eating) killer whales, as well as detections of the Gulf of Alaska transient (mammal-eating) and AT1 transient (mammal-eating) populations. These populations and pods were recognized using published call catalogues as well as field recordings during which the animals present were photographically identified. The number of discrete calls in each four- or five-min recording was counted. For resident killer whales, the number of animals present is the number of animals photographically documented that year in the pod; for transients, it is the ... |
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