Endangered Species Research · 2016 · 28 citations · 60 references
Life SciencesConservation BiologyEcologyMarine ConservationMarine EcologyMarine ZoologyMarine Conservation EcologyMarine HerpetologyMarine Mammal PhysiologyMarine Mammal ProtectionReptile BiologySea Turtle ConservationForaging Habitat EcologyMarine Turtle ConservationNesting Habitat UseSea Turtle BiologySea Turtle EcologySea Turtle Foraging EcologySea Turtle Habitat ConservationSleep
To better protect endangered green sea turtles Chelonia mydas, a more thorough understanding of the behaviors of each life stage is needed. Although dive profile analyses obtained using time-depth loggers have provided some insights into habitat use, recent work has shown that more fine-scale monitoring of body movements is needed to elucidate physical activity patterns. We monitored 11 juvenile green sea turtles with tri-axial acceleration data loggers in their foraging grounds in Dry Tortugas National Park, Florida, USA, for periods ranging from 43 to 118 h (mean SD: 72.8 27.3 h). Approximately half of the individuals (n = 5) remained in shallow (overall mean depth < 2 m) water throughout the experiment, whereas the remaining individuals (n = 6) made excursions to deeper (4 to 27 m) waters, often at night. Despite these differences in depth use, acceleration data revealed a consistent pattern of diurnal activity and nocturnal resting in most individuals. Nocturnal depth differences thus do not appear to represent differences in behavior, but rather different strategies to achieve the same behavior: rest. We calculated overall dynamic body acceleration (ODBA) to assess the relative energetic cost of each behavioral strategy in an attempt to explain the differences between them. Animals in deeper water experienced longer resting dives, more time resting per hour, and lower mean hourly ODBA. These results suggest that resting in deeper water provides energetic benefits that outweigh the costs of transiting to deep water and a potential increased risk of predation.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
nlme : Linear and nonlinear mixed effects models
Saikat DebRoy · Medical Entomology and Zoology · 2006 · 10.2K citations
Long‐distance migration: evolution and determinants
Thomas Alerstam, Anders Hedenström, Susanne Åkesson · Oikos · 2003 · 1.3K citations · Full text