库克湖-黑脚省级休闲区枪声活动的被动声监测

Keelin Henderson-Pekarik, R. Hedley, Justin Johnson, J. Kennedy, E. Bayne
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摘要

过去,对狩猎行为的监控仅限于自我报告的数量。然而,自主记录单元监测声景的能力可能使它们适合于评估时空拍摄模式。我们这个项目的目标是找出是否有可能使用声学监测来跟踪人类活动,以及季节性或每日射击强度是否存在差异。我们假设,从9月到11月,从下午到早上,拍摄强度会下降,因为人们不太可能在较低的温度下拍摄。2018年9月2日至11月30日期间,在库克湖-黑脚省娱乐区部署了91个ARU电网。他们被设置在日出和日落之间连续记录,晚上也有一些记录。我们随机选择了一个30分钟录音的子集,用谱图将它们可视化;x轴为时间,y轴为频率的声音的视觉表示,并计算每个声音中的枪声。我们使用方差分析(ANOVA)比较了不同月份和一天中不同时间枪击检测的差异。季节和日射击强度没有统计学差异。造成这种情况的一个原因可能是由于手动处理记录所需的时间,样本量很低。我们证明,ARU可以用来为我们提供一种准确的方式来评估射击模式,因此,对监测其他人类行为很有用,比如探测偷猎者,或评估对狩猎法的遵守情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Passive Acoustic Monitoring of Gunshot Activity in Cooking Lake-Blackfoot Provincial Recreation Area
In the past, monitoring hunting behavior has been limited to self-reported numbers. However, the ability of autonomous recording units to monitor soundscapes may make them suitable for assessing spatio-temporal shooting patterns. Our goal for this project was to find out if it is possible to use acoustic monitoring to track human activity, and if there were differences in seasonal or daily shooting intensities. We hypothesized that shooting intensity would decrease from September to November and from the afternoon till morning due to people being less likely to go shooting in cooler temperatures. A grid of 91 ARU’s were deployed between September 2nd and November 30th, 2018 in Cooking Lake-Blackfoot Provincial Recreation Area. They were set to record continuously between sunrise and sunset with some recording during the night as well. We selected a random subset of 30 minute recordings, visualized them using spectrograms; visual representations of sound with time on the x-axis and frequency on the y-axis, and counted the gunshots in each. We compared differences in gunshot detections between months and different times of day using analysis of variance (ANOVA). There were no statistical differences found in seasonal or daily shooting intensities. One reason for this may be that sample sizes were low, due to the time needed to manually process recordings. We demonstrated that ARU’s can be used to provide us with an accurate way of assessing shooting patterns and therefore, be useful for monitoring other human behaviors such as detecting poachers, or assessing compliance with hunting laws.
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