The conspecific avoidance strategies of adult female-calf humpback whales

• Main Authors: Indeck, Katherine, Noad, Michael, Dunlop, Rebecca
• Format: Dataset
• Language: unknown
• Published: 2021
• Subjects: acoustic crypsis; behavioral avoidance; cost-benefit strategies; parent-offspring interactions; Humpback Whale; Megaptera novaeangliae
• Online Access: https://zenodo.org/record/4620207; https://doi.org/10.5061/dryad.pc866t1nn

During migration, humpback whale (Megaptera novaeangliae) adult females and their calves use acoustic calling to help maintain contact. The signals produced by these pairs, however, may unintentionally attract nearby breeding males, which can result in interactions that have negative physical and physiological effects on the calf. Therefore, maternal females must choose the vocal and/or behavioral strategy that most effectively balances intra-pair communication with male avoidance. Here, we analyzed differences in adult female-calf vocal activity and movement behavior according to the presence of, and distance to, singing whales and other groups likely to contain males. The results of this study found that these pairs make only minimal changes to their vocal behavior in response to nearby males, suggesting that they have instead evolved calls that are naturally difficult to detect (i.e., produced at significantly lower rates and acoustic levels than other whale groups, resulting in a restricted active space). In addition, they maintain spatial separation from nearby groups by moving to shallower, inshore waters, increasing their proportion of time spent near the surface, and favoring a direct migratory course. This combination of cryptic strategies balances avoidance of unwanted conspecific interaction with the necessity of continued contact between maternal female humpback whales and their calves. Please see the ReadMe document for information regarding the data spreadsheets. This dataset was collected using animal-borne recording tags and accompanying boat- and land-based visual observations. It was analyzed using multiple different models, which were evaluated using a model-averaging approach.