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Identifying high residency areas of the threatened St. Lawrence beluga whale from fine-scale movements of individuals andcoarse-scale movements of herds

机译:从个体的精细运动和畜群的粗规模运动中识别受威胁的圣劳伦斯白鲸的高居住区

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摘要

The development of high-performance tracking and analytical tools has greatly facilitated the study of animal movements, which, in turn, are increasingly employed to study habitat use. However, data on individual movements are rarely available at both broad spatial and temporal scales, limiting their utility for the study of habitat use at population levels. In this study, we propose a novel approach to investigate habitat profitability and population residency patterns by combining the analysis of fine-scale tracking data from individual animals with coarser, short-term movement patterns of herds. We used this approach to identify areas of high residency (AHR) for the St. Lawrence beluga whale Delphinapterus leucas, a population classified as 'threatened' under the Canadian Species At Risk Act. We used radio telemetry and a first passage time approach to study the fine-scale daily movements of 30 belugas. Information obtained from these animals on variation of search effort during displacements, scales at which area-restricted search (ARS) occurred, and associated swimming speeds was used to grid our study area and define a criterion for high residency of beluga herds. The beluga herd database used to identify AHR was composed of 772 visual 'herd follows' covering a large portion of the beluga population summer distribution. Thirty-three ARS zones were identified at 2 different spatial scales (~500 m and ~1500 m). Using these scales and the swimming speeds associated with ARS to study the residency of herds resulted in the identification of 28 AHRs used by beluga within their summer distribution.
机译:高性能跟踪和分析工具的开发极大地促进了动物运动的研究,而动物运动的研究反过来也越来越多地用于研究栖息地的利用。但是,关于个体运动的数据很少在广泛的时空尺度上获得,这限制了它们在人口水平上对栖息地利用研究的效用。在这项研究中,我们提出了一种新颖的方法来研究栖息地的获利能力和种群居住模式,方法是将单个动物的精细跟踪数据与较粗的短期畜群运动模式结合起来进行分析。我们使用这种方法来确定圣劳伦斯白鲸鲸Delphinapterus leucas的高居住区(AHR),根据加拿大《濒危物种法》,该种群被归类为“受到威胁”。我们使用无线电遥测和首次通过时间方法研究了30种白鲸的精细尺度日常运动。从这些动物身上获得的信息包括位移期间搜索力的变化,发生区域限制搜索(ARS)的规模以及相关的游泳速度,这些信息被用来划分我们的研究区域,并为白鲸种群的高居所定义了标准。用于识别AHR的白鲸群数据库由772个视觉“群群追踪”组成,涵盖了大部分白鲸种群夏季分布。在2个不同的空间尺度(〜500 m和〜1500 m)上确定了33个ARS区。使用这些量表和与ARS相关的游泳速度来研究牛群的居住地,从而确定了白鲸在夏季分布中使用的28种AHR。

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