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首页> 外文期刊>Marine biology >Diel and seasonal patterns in activity and home range size of green turtles on their foraging grounds revealed by extended Fastloc-GPS tracking
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Diel and seasonal patterns in activity and home range size of green turtles on their foraging grounds revealed by extended Fastloc-GPS tracking

机译:扩展的Fastloc-GPS跟踪揭示了觅食场所绿海龟活动和居所范围的Diel和季节性模式

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摘要

An animal's home range is driven by a range of factors including top-down (predation risk) and bottom-up (habitat quality) processes, which often vary in both space and time. We assessed the role of these processes in driving spatiotemporal patterns in the home range of the green turtle (Chelonia mydas), an important marine megaherbivore. We satellite tracked adult green turtles using Fastloc-GPS telemetry in the Chagos Archipelago and tracked their fine-scale movement in different foraging areas in the Indian Ocean. Using this extensive data set (5081 locations over 1675 tracking days for 8 individuals), we showed that green turtles exhibit both diel and seasonal patterns in activity and home range size. At night, turtles had smaller home ranges and lower activity levels, suggesting they were resting. In the daytime, home ranges were larger and activity levels higher, indicating that turtles were actively feeding. The transit distance between diurnal and nocturnal sites varied considerably between individuals. Further, some turtles changed resting and foraging sites seasonally. These structured movements indicate that turtles had a good understanding of their foraging grounds in regard to suitable areas for foraging and sheltered areas for resting. The clear diel patterns and the restricted size of nocturnal sites could be caused by spatiotemporal variations in predation risk, although other factors (e.g. depth, tides and currents) could also be important. The diurnal and seasonal pattern in home range sizes could similarly be driven by spatiotemporal variations in habitat (e.g. seagrass or algae) quality, although this could not be confirmed.
机译:动物的居所范围受多种因素驱动,包括自上而下(捕食风险)和自下而上(栖息地质量)过程,这些过程通常在时空上都不同。我们评估了这些过程在驱动绿海龟(Chelonia mydas)(一种重要的海洋巨食动物)的家中时空模式中的作用。我们在Chagos群岛使用Fastloc-GPS遥测技术对成年绿海龟进行了卫星跟踪,并在印度洋不同的觅食区域跟踪了它们的精细运动。使用这个广泛的数据集(在8个人的1675个追踪日中的5081个位置)中,我们发现绿海龟的活动度和家庭范围大小均表现出迪尔和季节性模式。到了晚上,海龟的居所范围较小,活动水平较低,表明它们正在休息。在白天,家畜范围更大,活动水平更高,这表明海龟正在积极觅食。昼夜点之间的过渡距离因人而异。此外,一些乌龟会季节性改变休息和觅食的地点。这些有组织的运动表明,海龟对于觅食的适当区域和休息的庇护区域具有很好的了解。尽管其他因素(例如深度,潮汐和洋流)也可能很重要,但清晰的diel模式和夜间活动地点的大小受限可能是由捕食风险的时空变化引起的。栖息地质量(例如海草或藻类)的时空变化也可能类似地驱动家庭范围大小的昼夜和季节性模式,尽管无法确定。

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  • 来源
    《Marine biology》 |2017年第1期|10.1-10.11|共11页
  • 作者单位

    Deakin Univ, Sch Life & Environm Sci, Ctr Integrat Ecol, Warrnambool, Vic 3280, Australia|Murdoch Univ, Sch Vet & Life Sci, Cetacean Res Unit, Murdoch, WA 6150, Australia;

    Swansea Univ, Dept Biosci, Singleton Pk, Swansea SA2 8PP, W Glam, Wales;

    SIF, Victoria, Mahe, Seychelles|Univ Florida, Dept Biol, Gainesville, FL 32611 USA;

    Deakin Univ, Sch Life & Environm Sci, Ctr Integrat Ecol, Warrnambool, Vic 3280, Australia;

    Deakin Univ, Sch Life & Environm Sci, Ctr Integrat Ecol, Warrnambool, Vic 3280, Australia;

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