Peter Povlsen, Dan Bruhn, Cino Pertoldi, Sussie Pagh
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Over ten surveys, the scouring drone method recorded significantly more hares than traditional transect spotlight count surveys, conducted by trained volunteers scanning the same farmland area within the same timeframe (p = 0.002, Wilcoxon paired rank test). The difference between the drone method and the transect spotlight method was hare density-dependent (R = 0.45, p = 0.19, Pearson’s product–moment correlation); the larger the density of hares, the larger the difference between the two methods to the benefit of the drone method. There was a linear relation between the records of deer by the drone and by spotlight (R = 0.69, p = 0.027), while no relation was found between the records of carnivores by drone and spotlight counts. This may be due to carnivores’ speed and vigilance or lack of data. 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引用次数: 0
摘要
野生动物数量调查是制定有关自然保护和管理决策的重要工具。隐蔽性和夜行性哺乳动物很难监测,需要获得这些物种密度和种群趋势的更准确数据的方法。我们提出了一种新的监测方法,使用具有激光测距仪和高变焦能力的空中无人机进行热成像。通过手动操作无人机,最初可以扫描几公里半径的调查区域,当观察到感兴趣的点时,可以在无人机保持120米的高度时通过放大从一公里外识别动物。使用激光测距仪,可以立即记录被探测动物的精确坐标。在10次调查中,无人机搜索法比传统的样条射光计数调查记录了更多的野兔,传统的样条射光计数调查是由训练有素的志愿者在相同的时间框架内扫描相同的农田区域(p = 0.002, Wilcoxon配对秩检验)。无人机法与样条聚焦法的差异与密度相关(R = 0.45, p = 0.19, Pearson积矩相关);野兔的密度越大,两种方法之间的差异越大,无人机方法的优势就越大。无人机记录的鹿群数量与聚光灯记录的鹿群数量呈线性相关(R = 0.69, p = 0.027),而无人机记录的食肉动物数量与聚光灯记录的数量无相关性。这可能是由于食肉动物的速度和警惕性或缺乏数据。此外,无人机方法可以在样条聚光灯计数的相同时间范围内覆盖多达三倍的区域。
A Novel Scouring Method to Monitor Nocturnal Mammals Using Uncrewed Aerial Vehicles and Thermal Cameras—A Comparison to Line Transect Spotlight Counts
Wildlife abundance surveys are important tools for making decisions regarding nature conservation and management. Cryptic and nocturnal mammals can be difficult to monitor, and methods to obtain more accurate data on density and population trends of these species are needed. We propose a novel monitoring method using an aerial drone with a laser rangefinder and high zoom capabilities for thermal imagery. By manually operating the drone, the survey area can be initially scanned in a radius of several kilometers, and when a point of interest is observed, animals could be identified from up to one kilometer away by zooming in while the drone maintains an altitude of 120 m. With the laser rangefinder, a precise coordinate of the detected animal could be recorded instantly. Over ten surveys, the scouring drone method recorded significantly more hares than traditional transect spotlight count surveys, conducted by trained volunteers scanning the same farmland area within the same timeframe (p = 0.002, Wilcoxon paired rank test). The difference between the drone method and the transect spotlight method was hare density-dependent (R = 0.45, p = 0.19, Pearson’s product–moment correlation); the larger the density of hares, the larger the difference between the two methods to the benefit of the drone method. There was a linear relation between the records of deer by the drone and by spotlight (R = 0.69, p = 0.027), while no relation was found between the records of carnivores by drone and spotlight counts. This may be due to carnivores’ speed and vigilance or lack of data. Furthermore, the drone method could cover up to three times the area within the same timeframe as the transect spotlight counts.