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Use of Body-Mounted Cameras to Enhance Data Collection: An Evaluation of Two Arthropod Sampling Techniques

机译:使用车载摄像机增强数据收集:两种节肢动物采样技术的评估

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摘要

A study was conducted that compared the effectiveness of a sweepnet versus a vacuum suction device for collecting arthropods in cotton. The study differs from previous research in that body-mounted action cameras (B-MACs) were used to record the activity of the person conducting the arthropod collections. The videos produced by the B-MACs were then analyzed with behavioral event recording software to quantify various aspects of the sampling process. The sampler’s speed and the number of sampling sweeps or vacuum suctions taken over a fixed distance (12.2 m) of cotton were two of the more significant sampling characteristics quantified for each method. The arthropod counts obtained, combined with the analyses of the videos, enabled us to estimate arthropod sampling efficiency for each technique based on fixed distance, time, and sample unit measurements. Data revealed that the vacuuming was the most precise method for collecting arthropods in the relatively small cotton research plots. However, data also indicates that the sweepnet method would be more efficient for collecting most of the cotton-dwelling arthropod taxa, especially if the sampler could continuously sweep for at least 1 min or ≥80 m (e.g., in larger research plots). The B-MACs are inexpensive and non-cumbersome, the video images generated are outstanding, and they can be archived to provide permanent documentation of a research project. The methods described here could be useful for other types of field-based research to enhance data collection efficiency.
机译:进行了一项研究,比较了扫网和真空吸尘器收集棉花中节肢动物的有效性。该研究与以前的研究不同之处在于,使用了人体运动相机(B-MAC)来记录进行节肢动物采集的人员的活动。然后,使用行为事件记录软件对B-MAC产生的视频进行分析,以量化采样过程的各个方面。采样器的速度以及在固定距离(12.2 m)棉花上进行的扫掠或真空抽吸次数是每种方法量化的两个更重要的采样特征。获得的节肢动物计数,再结合视频分析,使我们能够基于固定的距离,时间和样本单位测量来估算每种技术的节肢动物采样效率。数据显示,在相对较小的棉花研究区中,吸尘是收集节肢动物的最精确方法。但是,数据还表明,sweep网方法将更有效地收集大部分居住在棉花上的节肢动物类群,尤其是如果采样器可以连续进行至少1分钟或≥80 m的扫掠(例如在较大的研究地块中)。 B-MAC价格便宜且不麻烦,生成的视频图像非常出色,可以将其存档以提供研究项目的永久文档。此处描述的方法对于其他类型的基于现场的研究可能有用,以提高数据收集效率。

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