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Quantifying Waterfowl Numbers: Comparison of Drone and Ground-Based Survey Methods for Surveying Waterfowl on Artificial Waterbodies

机译:量化水禽数量:寄生虫和地面调查方法对人工水域进行测量的比较

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Drones are becoming a common method for surveying wildlife as they offer an aerial perspective of the landscape. For waterbirds in particular, drones can overcome challenges associated with surveying locations not accessible on foot. With the rapid uptake of drone technology for bird surveys, there is a need to compare and calibrate new technologies with existing survey methods. We compared waterfowl counts derived from ground- and drone-based survey methods. We sought to determine if group size and waterbody size influenced the difference between counts of non-nesting waterfowl and if detection of species varied between survey methods. Surveys of waterfowl were carried out at constructed irrigation dams and wastewater treatment ponds throughout the Riverina region of New South Wales (NSW), Australia. Data were analyzed using Bayesian multilevel models (BMLM) with weakly informative priors. Overall, drone-derived counts of waterfowl were greater (+36%) than ground counts using a spotting scope (β_ground= 0.64 [0.62–0.66], (R~(2) = 0.973)). Ground counts also tended to underestimate the size of groups. Waterbody size had an effect on comparative counts, with ground counts being proportionally less than drone counts (mean = 0.74). The number of species identified in each waterbody type was similar regardless of survey method. Drone-derived counts are more accurate compared to traditional ground counts, but drones do have some drawbacks including initial equipment costs and time-consuming image or photo processing. Future surveys should consider using drones for more accurately surveying waterbirds, especially when large groups of birds are present on larger waterbodies.
机译:无人机正在成为调查野生动物的常见方法,因为它们提供了景观的空中观点。对于特别是水鸟,无人机可以克服与脚无法访问的测量位置相关的挑战。随着对鸟类调查的无人机技术的快速摄取,需要使用现有的调查方法进行比较和校准新技术。我们比较了基于无人机的调查方法的水禽计数。我们试图确定组尺寸和水体尺寸是否影响了非筑巢速度计数的差异,以及检测物种在调查方法之间变化。在澳大利亚新南威尔士州新南威尔士州的Riverina地区的建造灌溉水坝和废水处理池中进行了水禽调查。使用弱富有信息的前瞻使用贝叶斯多级模型(BMLM)分析数据。总体而言,使用斑点范围的地面计数总体而言,无人机衍生的水流计数越大(+ 36%)(β_ground= 0.64 [0.62-0.66],(R〜(2)= 0.973))。地面数量也倾向于低估了群体的大小。水体尺寸对比较计数有影响,地面计数比无人机计数成比例(平均值= 0.74)。无论调查方法如何,每个水体类型中鉴定的物种数量都是相似的。与传统的地面计数相比,无人机衍生的数量更准确,但无人机确实具有一些缺点,包括初始设备成本和耗时的图像或照片处理。未来的调查应该考虑使用无人机进行更准确的测量水鸟,特别是当大群鸟类存在于较大的水上。

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