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Unmanned Aircraft Systems complement biologging in spatial ecology studies

机译:无人机系统补充了空间生态学研究中的生物记录

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摘要

The knowledge about the spatial ecology and distribution of organisms is important for both basic and applied science. Biologging is one of the most popular methods for obtaining information about spatial distribution of animals, but requires capturing the animals and is often limited by costs and data retrieval. Unmanned Aircraft Systems (UAS) have proven their efficacy for wildlife surveillance and habitat monitoring, but their potential contribution to the prediction of animal distribution patterns and abundance has not been thoroughly evaluated. In this study, we assess the usefulness of UAS overflights to (1) get data to model the distribution of free‐ranging cattle for a comparison with results obtained from biologged (GPS‐GSM collared) cattle and (2) predict species densities for a comparison with actual density in a protected area. UAS and biologging derived data models provided similar distribution patterns. Predictions from the UAS model overestimated cattle densities, which may be associated with higher aggregated distributions of this species. Overall, while the particular researcher interests and species characteristics will influence the method of choice for each study, we demonstrate here that UAS constitute a noninvasive methodology able to provide accurate spatial data useful for ecological research, wildlife management and rangeland planning.
机译:有关空间生态学和生物分布的知识对于基础科学和应用科学都非常重要。生物记录是获得有关动物空间分布信息的最流行的方法之一,但需要捕获动物,并且通常受到成本和数据检索的限制。无人机系统(UAS)已经证明了其在野生生物监视和栖息地监视中的功效,但尚未充分评估其在预测动物分布格局和丰度方面的潜在作用。在这项研究中,我们评估了UAS飞越对以下方面的有用性:(1)获取数据以模拟自由放养的牛的分布,以便与从生物记录的(GPS-GSM领)牛获得的结果进行比较,以及(2)预测与保护区内的实际密度进行比较。 UAS和生物记录导出的数据模型提供了相似的分布模式。 UAS模型的预测高估了牛的密度,这可能与该物种较高的总体分布有关。总体而言,虽然特定的研究者兴趣和物种特征将影响每个研究的选择方法,但我们在这里证明了UAS构成了一种无创方法,能够提供对生态研究,野生动植物管理和牧场规划有用的准确空间数据。

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