The utility of drones for studying polar bear behaviour in the Canadian Arctic: opportunities and recommendations

IF 1.3 Q3 REMOTE SENSING
Patrick M. Jagielski, Andrew F. Barnas, H. Gilchrist, E. Richardson, O. Love, C. Semeniuk
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引用次数: 4

Abstract

Climate-induced sea-ice loss represents the greatest threat to polar bears (Ursus maritimus), and utilizing drones to characterize behavioural responses to sea-ice loss is valuable to forecasting polar bear persistence. In this manuscript, we review previously published literature and draw on our own experience of using multirotor aerial drones to study polar bear behaviour in the Canadian Arctic. Specifically, we suggest that drones can minimize human-bear conflicts by allowing users to observe bears from a safe vantage point; produce high-quality behavioural data that can be reviewed as many times as needed and shared with multiple stakeholders; and foster knowledge generation through co-production with northern communities. We posit that in some instances drones may be considered as an alternative tool for studying polar bear foraging behaviour, interspecific interactions, human-bear interactions, human safety and conflict mitigation, and den-site location at individual-level, small spatial scales. Finally, we discuss flying techniques to ensure ethical operation around polar bears, regulatory requirements to consider, and recommend that future research focus on understanding polar bears’ behavioural and physiological responses to drones and the efficacy of drones as a deterrent tool for safety purposes.
无人机在加拿大北极地区研究北极熊行为的效用:机遇和建议
气候引起的海冰损失是北极熊(Ursus maritimus)面临的最大威胁,利用无人机来表征对海冰损失的行为反应对预测北极熊的持久性很有价值。在这份手稿中,我们回顾了以前发表的文献,并借鉴了我们自己使用多旋翼无人机研究北极熊在加拿大北极的行为的经验。具体而言,我们建议无人机可以让用户从安全的有利位置观察熊,从而最大限度地减少人熊冲突;生成高质量的行为数据,这些数据可以根据需要进行多次审查,并与多个利益相关者共享;通过与北方社区的合作生产促进知识的产生。我们假设,在某些情况下,无人机可能被视为研究北极熊觅食行为、种间互动、人与熊互动、人类安全和冲突缓解以及个体层面、小空间尺度巢穴位置的替代工具。最后,我们讨论了确保北极熊周围道德操作的飞行技术、需要考虑的监管要求,并建议未来的研究重点是了解北极熊对无人机的行为和生理反应,以及无人机作为安全威慑工具的功效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.30
自引率
0.00%
发文量
2
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