High sea surface temperatures driven by a strengthening current reduce foraging success by penguins. 2016

Gemma Carroll, and Jason D Everett, and Robert Harcourt, and David Slip, and Ian Jonsen
Department of Biological Sciences, Faculty of Science and Engineering, Macquarie University, Sydney NSW 2109, Australia.

The world's oceans are undergoing rapid, regionally specific warming. Strengthening western boundary currents play a role in this phenomenon, with sea surface temperatures (SST) in their paths rising faster than the global average. To understand how dynamic oceanography influences food availability in these ocean warming "hotspots", we use a novel prey capture signature derived from accelerometry to understand how the warm East Australian Current shapes foraging success by a meso-predator, the little penguin. This seabird feeds on low trophic level species that are sensitive to environmental change. We found that in 2012, prey capture success by penguins was high when SST was low relative to the long-term mean. In 2013 prey capture success was low, coincident with an unusually strong penetration of warm water. Overall there was an optimal temperature range for prey capture around 19-21 °C, with lower success at both lower and higher temperatures, mirroring published relationships between commercial sardine catch and SST. Spatially, higher SSTs corresponded to a lower probability of penguins using an area, and lower prey capture success. These links between high SST and reduced prey capture success by penguins suggest negative implications for future resource availability in a system dominated by a strengthening western boundary current.

UI MeSH Term Description Entries
D009517 New South Wales A state in southeastern Australia. Its capital is Sydney. It was discovered by Captain Cook in 1770 and first settled at Botany Bay by marines and convicts in 1788. It was named by Captain Cook who thought its coastline resembled that of South Wales. (From Webster's New Geographical Dictionary, 1988, p840 & Room, Brewer's Dictionary of Names, 1992, p377)
D009791 Oceanography The science that deals with the ocean and its phenomena. (Webster, 3d ed) Oceanographies
D011235 Predatory Behavior Instinctual behavior pattern in which food is obtained by killing and consuming other species. Predation,Behavior, Predatory,Predatory Behaviors
D004777 Environment The external elements and conditions which surround, influence, and affect the life and development of an organism or population. Environmental Impact,Environmental Impacts,Impact, Environmental,Impacts, Environmental,Environments
D000818 Animals Unicellular or multicellular, heterotrophic organisms, that have sensation and the power of voluntary movement. Under the older five kingdom paradigm, Animalia was one of the kingdoms. Under the modern three domain model, Animalia represents one of the many groups in the domain EUKARYOTA. Animal,Metazoa,Animalia
D012623 Seawater The salinated water of OCEANS AND SEAS that provides habitat for marine organisms. Sea Water,Sea Waters,Seawaters,Water, Sea,Waters, Sea
D013696 Temperature The property of objects that determines the direction of heat flow when they are placed in direct thermal contact. The temperature is the energy of microscopic motions (vibrational and translational) of the particles of atoms. Temperatures
D046429 Spheniscidae The sole family in the order Sphenisciformes, comprised of 17 species of penguins in six genera. They are flightless seabirds of the Southern Hemisphere, highly adapted for marine life. Penguins,Sphenisciformes,Penguin
D062206 Spatial Analysis Investigative techniques which measure the topological, geometric, and or geographic properties of the entities studied. Kernel Density Estimation,Kriging,Spacial Analysis,Spatial Autocorrelation,Spatial Dependency,Spatial Interpolation,Analyses, Spacial,Analyses, Spatial,Analysis, Spacial,Analysis, Spatial,Autocorrelation, Spatial,Autocorrelations, Spatial,Density Estimation, Kernel,Density Estimations, Kernel,Dependencies, Spatial,Dependency, Spatial,Estimation, Kernel Density,Estimations, Kernel Density,Interpolation, Spatial,Interpolations, Spatial,Kernel Density Estimations,Krigings,Spacial Analyses,Spatial Analyses,Spatial Autocorrelations,Spatial Dependencies,Spatial Interpolations

Related Publications

Gemma Carroll, and Jason D Everett, and Robert Harcourt, and David Slip, and Ian Jonsen
June 2020, Science advances,
Gemma Carroll, and Jason D Everett, and Robert Harcourt, and David Slip, and Ian Jonsen
January 2014, PloS one,
Gemma Carroll, and Jason D Everett, and Robert Harcourt, and David Slip, and Ian Jonsen
October 2020, Nature communications,
Gemma Carroll, and Jason D Everett, and Robert Harcourt, and David Slip, and Ian Jonsen
July 2001, Comparative biochemistry and physiology. Part A, Molecular & integrative physiology,
Gemma Carroll, and Jason D Everett, and Robert Harcourt, and David Slip, and Ian Jonsen
September 2013, Hormones and behavior,
Gemma Carroll, and Jason D Everett, and Robert Harcourt, and David Slip, and Ian Jonsen
September 2017, The Journal of experimental biology,
Gemma Carroll, and Jason D Everett, and Robert Harcourt, and David Slip, and Ian Jonsen
May 2021, Insects,
Gemma Carroll, and Jason D Everett, and Robert Harcourt, and David Slip, and Ian Jonsen
October 2020, Global change biology,
Gemma Carroll, and Jason D Everett, and Robert Harcourt, and David Slip, and Ian Jonsen
May 2014, Proceedings of the National Academy of Sciences of the United States of America,
Gemma Carroll, and Jason D Everett, and Robert Harcourt, and David Slip, and Ian Jonsen
January 2017, Science (New York, N.Y.),
Copied contents to your clipboard!