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一种评估无人机在陆地哺乳动物研究中潜力的实验方法:以群居有蹄类动物作为研究模型。

An experimental approach to evaluate the potential of drones in terrestrial mammal research: a gregarious ungulate as a study model.

作者信息

Schroeder Natalia M, Panebianco Antonella, Gonzalez Musso Romina, Carmanchahi Pablo

机构信息

Instituto Argentino de Investigaciones de las Zonas Áridas, CONICET, CC 507, CP 5500 Mendoza, Argentina.

Grupo de Investigación en Eco-Fisiología de Fauna Silvestre (INIBIOMA-CONICET-AUSMA-UNCo), Pasaje de la paz 235, CP 8370 San Martín de los Andes, Neuquén, Argentina.

出版信息

R Soc Open Sci. 2020 Jan 15;7(1):191482. doi: 10.1098/rsos.191482. eCollection 2020 Jan.

Abstract

Research on the use of unmanned aircraft systems (UAS) in wildlife has made remarkable progress recently. Few studies to date have experimentally evaluated the effect of UAS on animals and have usually focused primarily on aquatic fauna. In terrestrial open arid ecosystems, with relatively good visibility to detect animals but little environmental noise, there should be a trade-off between flying the UAS at high height above ground level (AGL) to limit the disturbance of animals and flying low enough to maintain count precision. In addition, body size or social aggregation of species can also affect the ability to detect animals from the air and their response to the UAS approach. To address this gap, we used a gregarious ungulate, the guanaco (), as a study model. Based on three types of experimental flights, we demonstrated that (i) the likelihood of miscounting guanacos in images increases with UAS height, but only for offspring and (ii) higher height AGL and lower UAS speed reduce disturbance, except for large groups, which always reacted. Our results call into question mostly indirect and observational previous evidence that terrestrial mammals are more tolerant to UAS than other species and highlight the need for experimental and species-specific studies before using UAS methods.

摘要

近年来,关于无人机系统(UAS)在野生动物研究中的应用取得了显著进展。迄今为止,很少有研究通过实验评估无人机对动物的影响,且这些研究通常主要集中在水生动物上。在陆地开阔干旱生态系统中,虽然检测动物的能见度相对较好,但环境噪音较小,因此在高于地面(AGL)的高空飞行无人机以限制对动物的干扰与低空飞行以保持计数精度之间应有所权衡。此外,物种的体型大小或社会聚集性也会影响从空中检测动物的能力以及它们对无人机靠近的反应。为填补这一空白,我们使用群居有蹄类动物原驼(guanaco)作为研究模型。基于三种类型的实验飞行,我们证明:(i)图像中误算原驼数量的可能性随无人机高度增加而增加,但仅针对幼崽而言;(ii)除了大型群体总会产生反应外,较高的AGL高度和较低的无人机速度可减少干扰。我们的研究结果对之前大多间接和观察性的证据提出了质疑,即陆地哺乳动物比其他物种对无人机更具耐受性,并强调在使用无人机方法之前进行实验性和针对特定物种研究的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32a7/7029930/1350f8128694/rsos191482-g1.jpg

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