Global positioning with animal‐borne pressure sensors
Global positioning with animal‐borne pressure sensors
复制标题
使用动物压力传感器进行全球定位
DOI：
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发表时间：
2023
影响因子：
6.6
通讯作者：
F. Liechti
中科院分区：
文献类型：
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作者：
Raphäel Nussbaumer;M. Gravey;Martins Briedis;F. Liechti
在过去的几十年里，跟踪技术变得越来越普遍，有助于揭示自然界中重要的时空关系。为了将这些技术应用于小动物并减少设备的任何潜在不利影响，与轻型设备兼容的地理定位方法受到高度追捧。通过轻型地理定位器测量，大气压力为全球地理定位提供了一个尚未开发的机会，因为它的自然时间变化对于每个位置都是独特的。在这项研究中，我们通过将地理定位器记录的压力数据与全球天气再分析数据库的参考数据进行比较来估计鸟类的位置。该方法基于（1）地面高程与地理定位器测量的压力相匹配的位置掩模以及（2）地理定位器测量的时间序列与再分析数据集之间的不匹配来生成位置的似然图。这种新方法是逐步引入的，并应用于9种长短距离迁徙物种的16个轨迹。使用双标记个体的已知位置（光和压力数据），我们证明我们的方法几乎比基于光的定位准确三倍，在我们的试验中平均误差为 44 公里。与传统的基于光的方法相比，压力地理定位可以在短时间内（少于一天）提供有用的信息，并且不受春分问题的影响，也不受天气或动物行为造成的任何阴影效应的影响。为了方便该方法的应用，我们开发了一个R包GeoPressureR，以及用户指南GeoPressureManual和起始代码GeoPressureTemplate。由于经济实惠的轻型设备（<0.4 g）和这种精确估计设备位置的方法的结合，使用压力传感器来定位动物有可能变得广泛。特别是，此类设备现在可以应用于短距离迁徙（> 100公里）、森林栖息物种、夜行动物和高海拔迁徙动物。
Over the past decades, tracking technologies have become more ubiquitous and helped uncover crucial spatiotemporal relationships in nature. In order to apply these technologies to small animals and reduce any potential adverse impact of devices, geopositioning methodologies compatible with lightweight devices are highly sought after. Measured by lightweight geolocators, atmospheric pressure provides an untapped opportunity for global geopositioning, as its natural temporal variation is unique to each location. In this study, we estimate the position of birds by comparing pressure data recorded by the geolocator with reference data from a global weather reanalysis database. The method produces a likelihood map of the position based on (1) a mask of the locations for which the ground‐level elevation matches the pressure measured by the geolocator and (2) a mismatch between the temporal time series measured by the geolocator and the reanalysis dataset. This new method is introduced step by step and applied to 16 tracks of nine long‐ and short‐distance migrant species. Using known positions of double‐tagged individuals (light and pressure data), we demonstrate that our method is almost three times more accurate than light‐based positioning with an average error of 44 km in our trials. In contrast to the traditional light‐based approach, pressure geolocation can provide useful information for short stationary periods (less than a day) and is not affected by the equinox problem nor by any shading effects due to weather or animal behaviour. To facilitate the application of the method, we developed an R package GeoPressureR, together with a user guide GeopressureManual and starting code GeoPressureTemplate. The use of pressure sensors to position animals has the potential to become widespread thanks to the combination of both affordable lightweight devices (<0.4 g) and this method to estimate position of the device precisely and accurately. In particular, such devices can now be applied to short‐distant migrants (>100 km), forest‐dwelling species, nocturnal animals and altitudinal migrants.