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一种用于量化仪器化灰海豹环境采样时空行为的新方法。

A novel approach to quantifying the spatiotemporal behavior of instrumented grey seals used to sample the environment.

机构信息

Department of Biology, Dalhousie University, Halifax, B3H 4R2 Canada.

Department of Mathematics and Statistics, Dalhousie University, Halifax, B3H 4R2 Canada.

出版信息

Mov Ecol. 2015 Jul 8;3(1):20. doi: 10.1186/s40462-015-0047-4. eCollection 2015.

Abstract

BACKGROUND

Paired with satellite location telemetry, animal-borne instruments can collect spatiotemporal data describing the animal's movement and environment at a scale relevant to its behavior. Ecologists have developed methods for identifying the area(s) used by an animal (e.g., home range) and those used most intensely (utilization distribution) based on location data. However, few have extended these models beyond their traditional roles as descriptive 2D summaries of point data. Here we demonstrate how the home range method, T-LoCoH, can be expanded to quantify collective sampling coverage by multiple instrumented animals using grey seals (Halichoerus grypus) equipped with GPS tags and acoustic transceivers on the Scotian Shelf (Atlantic Canada) as a case study. At the individual level, we illustrate how time and space-use metrics quantifying individual sampling coverage may be used to determine the rate of acoustic transmissions received.

RESULTS

Grey seals collectively sampled an area of 11,308 km (2) and intensely sampled an area of 31 km (2) from June-December. The largest area sampled was in July (2094.56 km (2)) and the smallest area sampled occurred in August (1259.80 km (2)), with changes in sampling coverage observed through time.

CONCLUSIONS

T-LoCoH provides an effective means to quantify changes in collective sampling effort by multiple instrumented animals and to compare these changes across time. We also illustrate how time and space-use metrics of individual instrumented seal movement calculated using T-LoCoH can be used to account for differences in the amount of time a bioprobe (biological sampling platform) spends in an area.

摘要

背景

搭载卫星定位遥测技术,动物携带的仪器可以收集时空数据,描述动物的运动和环境,其规模与动物的行为相关。生态学家已经开发出了一些方法,根据位置数据来识别动物使用的区域(例如,家域)和使用最频繁的区域(利用分布)。然而,很少有人将这些模型扩展到它们作为点数据的二维描述性总结的传统角色之外。在这里,我们以配备 GPS 标签和声学收发器的大西洋加拿大斯科舍浅滩(Scotian Shelf)上的灰海豹(Halichoerus grypus)为例,展示了如何扩展家域方法 T-LoCoH,以量化多个携带仪器的动物的集体采样覆盖范围。在个体层面上,我们说明了如何使用时间和空间使用指标来量化个体采样覆盖范围,以确定接收到的声学传输速率。

结果

灰海豹在 6 月至 12 月期间共采集了 11308 平方公里(2)的区域,并集中采集了 31 平方公里(2)的区域。最大的采样区域出现在 7 月(2094.56 平方公里(2)),最小的采样区域出现在 8 月(1259.80 平方公里(2)),随着时间的推移观察到采样覆盖范围的变化。

结论

T-LoCoH 为量化多个携带仪器的动物的集体采样工作提供了一种有效的方法,并可以比较这些变化随时间的变化。我们还说明了如何使用 T-LoCoH 计算的个体携带仪器海豹运动的时间和空间使用指标来解释生物探针(生物采样平台)在一个区域内花费的时间量的差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fdc/4514985/27181fa4a082/40462_2015_47_Fig1_HTML.jpg

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