A practical approach with drones, smartphones, and tracking tags for potential real-time animal tracking

Author:

Mesquita Geison P12ORCID,Mulero-Pázmány Margarita3ORCID,Wich Serge A4,Rodríguez-Teijeiro José Domingo56

Affiliation:

1. Department of Animal Biology, Plant Biology and Ecology, Autonomous University of Barcelona , 08193, Cerdanyola del Vallès, Barcelona , Spain

2. Instituto Baguaçu de Pesquisa em Biodiversidade (IBPBio) , 65050849, São Luís, Maranhão , Brazil

3. Grupo de Biogeografía, Diversidad y Conservación, Departamento de Biología Animal, Facultad de Ciencias, Universidad de Málaga , Blvr. Louis Pasteur 31 29010, Málaga , Spain

4. School of Biological and Environmental Sciences, Liverpool John Moores University , Liverpool L3 5UG , UK

5. Department of Evolutionary Biology, Ecology and Environmental Sciences, Faculty of Biology, University of Barcelona , 08028, Barcelona , Spain

6. Biodiversity Research Institute (IRBio), University of Barcelona , Barcelona, 08193 , Spain

Abstract

Abstract Drones are increasingly used for fauna monitoring and wildlife tracking; however, their application for wildlife tracking is restricted by developing such systems. Here we explore the potential of drones for wildlife tracking using an off-the-shelf system that is easy to use by non-specialists consisting of a multirotor drone, smartphones, and commercial tracking devices via Bluetooth and Ultra-Wide Band (UWB). We present the system configuration, explore the operational parameters that can affect detection capabilities, and test the effectiveness of the system for locating targets by simulating target animals in savanna and forest environments. The self-contained tracking system was built without hardware or software customization. In 40 tracking flights carried out in the Brazilian Cerrado, we obtained a detection rate of 90% in savanna and 40% in forest areas. Tests for targets in movement (N = 20), the detection rates were 90% in the savanna and 30% in the forest areas. The spatial accuracy obtained by the system was 14.61 m, being significantly more accurate in savanna (x¯= 10.53) than in forest areas (x¯ = 13.06). This approach to wildlife tracking facilitates the use of drones by non-specialists at an affordable cost for conservation projects with limited resources. The reduced size of the tags, the long battery life, and the lower cost compared to GPS-tags open up a range of opportunities for animal tracking.

Funder

Fundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do Maranhão

Fundación Barcelona Zoo

Publisher

Oxford University Press (OUP)

Subject

Animal Science and Zoology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3