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Using unmanned aerial vehicles with thermal-image acquisition cameras for animal surveys:a case study on the Sichuan snub-nosed monkey in the Qinling Mountains

引用

Integrative Zoology 2020年第1期15卷 79-86页

作者： Gang HE Haitao YANG Ruliang PAN Yewen SUN Pengbin ZHENG Jinghua WANG Xuelin JIN Jingjie ZHANG Baoguo LI Songtao GUO Shaanxi Key Laboratory for Animal Conservation College of Life SciencesNorthwest UniversityXi’anChina Shaanxi Institute of Zoology Shaanxi Academy of SciencesXi’anChina Key Laboratory of Adaptation and Evolution of Plateau Biota Northwest Institute of Plateau BiologyChinese Academy of SciencesXiningChina Qinghai Provincial Key Laboratory of Animal Ecological Genomics XiningChina Center for Excellence in Animal Evolution and Genetics Chinese Academy of SciencesKunmingChina

Following significant developments in technology,alternative devices have been applied in fieldwork for animal and plant ***-image acquisition cameras installed on unmanned aerial vehicles(UAVs)have been used in animal surveys in the *** article demonstrates an example of how UAVs can be used in high mountainous regions,presenting a case study on the Sichuan snub-nosed monkey with a detection rate of 65.19%for positive individual *** also presents a model that can prospectively predict population size for a given animal species,which is based on combined initial work using UAVs and traditional surveys on the ground.A great potential advantage of UAVs is significantly shortening survey procedures,particularly for areas with high mountains and plateaus,such as the Himalayas,the Qinghai-Tibet Plateau,Hengduan Mountains,the Yunnan-Gui Plateau and Qinling Mountains in China,where carrying out a traditional survey is extremely difficult,so that species and population surveys,particularly for critically endangered animals,are largely *** lack of data has impacted the management of endangered animals as well as the formulation and amendment of conservation strategies.

关键词： arboreal primates mountainous regions population size assessment thermal image unmanned aerial vehicles

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