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. (2021). Constraining 20th-Century Sea-Level Rise in the South Atlantic Ocean (Vol. 126).
Keywords: data rescue salt-marsh proxies sea-level changes South Atlantic tide gauges
Programme: 688
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R. Sulzbach, H. Dobslaw, M. Thomas. (2021). High-Resolution Numerical Modeling of Barotropic Global Ocean Tides for Satellite Gravimetry (Vol. 126).
Keywords: M2-tide minor tides pole-rotation self-attraction and loading tide-generating potential topographic wavedrag
Programme: 688
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Richard D. Ray, Bryant D. Loomis, Victor Zlotnicki. (2021). The mean seasonal cycle in relative sea level from satellite altimetry and gravimetry (Vol. 95).
Keywords: Annual geocenter motion Annual land motion Annual/semiannual cycle Satellite altimetry
Programme: 688
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Andreas Richter, Alexey A. Ekaykin, Matthias O. Willen, Vladimir Ya. Lipenkov, Andreas Groh, Sergey V. Popov, Mirko Scheinert, Martin Horwath, Reinhard Dietrich. (2021). Surface Mass Balance Models Vs. Stake Observations: A Comparison in the Lake Vostok Region, Central East Antarctica (Vol. 9).
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. (2021). Antarctic Atmospheric River Climatology and Precipitation Impacts (Vol. 126).
Keywords: Antarctica atmospheric rivers climatology meteorology
Programme: 411
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. (2021). (Vol. 14).
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Benjamin Pohl, Vincent Favier, Jonathan Wille, Danielle G Udy, Tessa R Vance, Julien Pergaud, Niels Dutrievoz, Juliette Blanchet, Christoph Kittel, Charles Amory, Gerhard Krinner, Francis Codron. (2021). Relationship Between Weather Regimes and Atmospheric Rivers in East Antarctica (Vol. 126).
Keywords: atmospheric rivers East Antarctica snowfall amounts temperature anomalies weather regimes
Programme: 411
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. (2021). Molecular response of a sub-antarctic population of the blue mussel (Mytilus edulis platensis) to a moderate thermal stress (Vol. 169).
Keywords: 2DE Abiotic stress Biomonitoring Gills Indicator species Kerguelen island Mytilus sp. qRT-PCR Temperature
Programme: 409
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G. J. Sutton, C. A. Bost, A. Z. Kouzani, S. D. Adams, K. Mitchell, J. P. Y. Arnould. (2021). Fine-scale foraging effort and efficiency of Macaroni penguins is influenced by prey type, patch density and temporal dynamics (Vol. 168).
Abstract: Difficulties quantifying in situ prey patch quality have limited our understanding of how marine predators respond to variation within and between patches, and throughout their foraging range. In the present study, animal-borne video, GPS, accelerometer and dive behaviour data loggers were used to investigate the fine-scale foraging behaviour of Macaroni penguins (Eudyptes chrysolophus) in response to prey type, patch density and temporal variation in diving behaviour. Individuals mainly dived during the day and utilised two strategies, targeting different prey types. Subantarctic krill (Euphausia vallentini) were consumed during deep dives, while small soft-bodied fish were captured on shallow dives or during the ascent phase of deep dives. Despite breeding in large colonies individuals seemed to be solitary foragers and did not engage with conspecifics in coordinated behaviour as seen in other group foraging penguin species. This potentially reflects the high abundance and low manoeuvrability of krill. Video data were used to validate prey capture signals in accelerometer data and a Support Vector Machine learning algorithm was developed to identify prey captures that occurred throughout the entire foraging trip. Prey capture rates indicated that Macaroni penguins continued to forage beyond the optimal give up time. However, bout-scale analysis revealed individuals terminated diving behaviour for reasons other than patch quality. These findings indicate that individuals make complex foraging decisions in relation to their proximate environment over multiple spatio-temporal scales.
Programme: 394
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. (2021). Similar circling movements observed across marine megafauna taxa (Vol. 24).
Abstract: Advances in biologging technology have enabled 3D dead-reckoning reconstruction of marine animal movements at spatiotemporal scales of meters and seconds. Examining high-resolution 3D movements of sharks (Galeocerdo cuvier, N = 4; Rhincodon typus, N = 1), sea turtles (Chelonia mydas, N = 3), penguins (Aptenodytes patagonicus, N = 6), and marine mammals (Arctocephalus gazella, N = 4; Ziphius cavirostris, N = 1), we report the discovery of circling events where animals consecutively circled more than twice at relatively constant angular speeds. Similar circling behaviors were observed across a wide variety of marine megafauna, suggesting these behaviors might serve several similar purposes across taxa including foraging, social interactions, and navigation.
Keywords: Animals Biological Sciences Ecology Ethology Zoology
Programme: 394
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