Multi-predator assemblages, dive type, bathymetry and sex influence foraging success and efficiency in African penguins

• Main Authors: G Sutton, L Pichegru, JA Botha, Abbas Kouzani, Scott Adams, CA Bost, John Arnould
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: 2020
• Subjects: Science & Technology; Multidisciplinary Sciences; Science & Technology - Other Topics; Penguin; Prey capture; Benthic; Camera; Group foraging; Accelerometer; Bio-logging; Endangered; South Africa; Sex-specific foraging; ARCTOCEPHALUS-PUSILLUS-PUSILLUS; CAPE FUR-SEAL; SPHENISCUS-DEMERSUS; SOUTH-AFRICA; ALGOA BAY; SOCIAL INFORMATION; FOOD AVAILABILITY; FEEDING-BEHAVIOR; GENTOO PENGUINS; 060201 Behavioural Ecology; 060205 Marine and Estuarine Ecology (incl Marine Ichthyology); 970106 Expanding Knowledge in the Biological Sciences; 3103 Ecology; 3109 Zoology; Bird Island
• Online Access: http://hdl.handle.net/10536/DRO/DU:30140294; https://figshare.com/articles/journal_contribution/Multi-predator_assemblages_dive_type_bathymetry_and_sex_influence_foraging_success_and_efficiency_in_African_penguins/20698177

Marine predators adapt their hunting techniques to locate and capture prey in response to their surrounding environment. However, little is known about how certain strategies influence foraging success and efficiency. Due to the miniaturisation of animal tracking technologies, a single individual can be equipped with multiple data loggers to obtain multi-scale tracking information. With the addition of animal-borne video data loggers, it is possible to provide context-specific information for movement data obtained over the video recording periods. Through a combination of video data loggers, accelerometers, GPS and depth recorders, this study investigated the influence of habitat, sex and the presence of other predators on the foraging success and efficiency of the endangered African penguin, Spheniscus demersus, from two colonies in Algoa Bay, South Africa. Due to limitations in the battery life of video data loggers, a machine learning model was developed to detect prey captures across full foraging trips. The model was validated using prey capture signals detected in concurrently recording accelerometers and animal-borne cameras and was then applied to detect prey captures throughout the full foraging trip of each individual. Using GPS and bathymetry information to inform the position of dives, individuals were observed to perform both pelagic and benthic diving behaviour. Females were generally more successful on pelagic dives than males, suggesting a trade-off between manoeuvrability and physiological diving capacity. By contrast, males were more successful in benthic dives, at least for Bird Island (BI) birds, possibly due to their larger size compared to females, allowing them to exploit habitat deeper and for longer durations. Both males at BI and both sexes at St Croix (SC) exhibited similar benthic success rates. This may be due to the comparatively shallower seafloor around SC, which could increase the likelihood of females capturing prey on benthic dives. Observation of camera data indicated ...