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首页> 外文期刊>Marine biology >Implications of location accuracy and data volume for home range estimation and fine-scale movement analysis: comparing Argos and Fastloc-GPS tracking data
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Implications of location accuracy and data volume for home range estimation and fine-scale movement analysis: comparing Argos and Fastloc-GPS tracking data

机译：位置精度和数据量对家庭范围估计和小规模运动分析的影响：比较Argos和Fastloc-GPS跟踪数据

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The advent of Fastloc-GPS is helping to transform marine animal tracking by allowing the collection of high-quality location data for species that surface only briefly. We show how the improved location accuracy of Fastloc-GPS compared to Argos tracking is expected to lead to far more accurate home range estimates, particularly for animals moving over the scale of a few km. We reach this conclusion using simulated data and home range estimates derived from empirical tracking data for green sea turtles (Chelonia mydas) equipped with Argos linked Fastloc-GPS tags at three different foraging areas (western Indian Ocean, Western Australia, and Caribbean). Poor-quality Argos locations (e.g., location classes A, B) produced home range estimates ranging from 10 to 100 times larger than those derived from Fastloc-GPS data, whereas high-quality Argos locations (location classes 1-3) produced home range estimates that were generally comparable to those derived from Fastloc-GPS data. However, the limited number of Argos class 1-3 locations obtained for all three turtles-an average of 14.6 times more Fastloc-GPS locations were obtained compared to Argos class 1-3 locations-resulted in blurred patterns of space use. In contrast, the high volume of Fastloc-GPS locations revealed fine-scale movements in striking detail (i.e., use of discrete patches separated by just a few 100 m). We recommend careful consideration of the effects of location accuracy and data volume when developing sampling regimes for marine tracking studies and make recommendations regarding how sampling can be standardized to facilitate meaningful spatial and temporal comparisons of space use.
机译：Fastloc-GPS的出现通过允许仅收集短暂浮出水面的物种的高质量位置数据来帮助转变海洋动物的追踪。我们展示了与Argos跟踪相比，Fastloc-GPS定位精度的提高有望如何导致更准确的房屋范围估计，尤其是对于在几公里范围内移动的动物而言。我们使用模拟数据和根据对3个不同觅食区（西印度洋，西澳大利亚州和加勒比海地区）配备Argos链接Fastloc-GPS标签的绿海龟（Chelonia mydas）的经验跟踪数据得出的家庭范围估计数得出此结论。质量较差的Argos位置（例如，位置类A，B）产生的本底范围估计值比从Fastloc-GPS数据得出的范围大10到100倍，而高质量的Argos位置（例如位置分类1-3）则产生本底范围估计值估算值通常与从Fastloc-GPS数据得出的估算值相当。但是，为所有三只海龟获得的Argos 1-3类位置数量有限-与Argos 1-3类位置相比，平均获得的Fastloc-GPS位置平均多出14.6倍，导致空间使用方式模糊。相反，大量的Fastloc-GPS位置揭示了精细的运动细节，即引人注目的细节（即使用仅相距几百m的离散斑块）。我们建议在开发用于海洋跟踪研究的采样方案时应仔细考虑位置准确性和数据量的影响，并就如何标准化采样以促进空间使用的有意义的时空比较提出建议。

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    《Marine biology》 |2017年第10期|204.1-204.9|共9页
  • 作者

    Thomson J. A.; Borger L.; Christianen M. J. A.; Esteban N.; Laloe J. -O.; Hays G. C.;

  • 作者单位

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

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

    Radboud Univ Nijmegen, Inst Wetland & Water Res, Heyendaalseweg 135, NL-6525 AJ Nijmegen, Netherlands|Univ Groningen, Groningen Inst Evolutionary Life Sci, POB 11103, NL-9700 CC Groningen, Netherlands;

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

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

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

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