Passive acoustic monitoring effectively detects Northern Spotted Owls and Barred Owls over a range of forest conditions

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Leila S. Duchac, D. B. Lesmeister, Katie M. Dugger, Zachary J. Ruff, Raymond J. Davis
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引用次数: 29

Abstract

Passive acoustic monitoring using autonomous recording units (ARUs) is a fast-growing area of wildlife research especially for rare, cryptic species that vocalize. Northern Spotted Owl (Strix occidentalis caurina) populations have been monitored since the mid-1980s using mark–recapture methods. To evaluate an alternative survey method, we used ARUs to detect calls of Northern Spotted Owls and Barred Owls (S. varia), a congener that has expanded its range into the Pacific Northwest and threatens Northern Spotted Owl persistence. We set ARUs at 30 500-ha hexagons (150 ARU stations) with recent Northern Spotted Owl activity and high Barred Owl density within Northern Spotted Owl demographic study areas in Oregon and Washington, and set ARUs to record continuously each night from March to July, 2017. We reviewed spectrograms (visual representations of sound) and tagged target vocalizations to extract calls from ~160,000 hr of recordings. Even in a study area with low occupancy rates on historical territories (Washington’s Olympic Peninsula), the probability of detecting a Northern Spotted Owl when it was present in a hexagon exceeded 0.95 after 3 weeks of recording. Environmental noise, mainly from rain, wind, and streams, decreased detection probabilities for both species over all study areas. Using demographic information about known Northern Spotted Owls, we found that weekly detection probabilities of Northern Spotted Owls were higher when ARUs were closer to known nests and activity centers and when owls were paired, suggesting passive acoustic data alone could help locate Northern Spotted Owl pairs on the landscape. These results demonstrate that ARUs can effectively detect Northern Spotted Owls when they are present, even in a landscape with high Barred Owl density, thereby facilitating the use of passive, occupancy-based study designs to monitor Northern Spotted Owl populations.
被动声学监测可以有效地探测到各种森林条件下的北方斑点猫头鹰和横斑猫头鹰
利用自主录音装置(ARUs)进行被动声监测是野生动物研究的一个快速发展的领域,特别是对稀有的、会发声的神秘物种。北斑猫头鹰(Strix occidentalis caurina)种群自20世纪80年代中期以来一直使用标记-再捕获方法进行监测。为了评估另一种调查方法,我们使用ARUs来检测北斑猫头鹰和横斑猫头鹰(S. varia)的叫声,横斑猫头鹰是一种同系物,已将其活动范围扩大到太平洋西北地区,并威胁到北斑猫头鹰的持久性。我们在俄勒冈州和华盛顿州的北斑猫头鹰人口研究区内设置了30个500公顷的六边形(150个ARU站),这些区域最近有北斑猫头鹰活动,并且斑猫头鹰密度高,并设置了ARUs,从2017年3月至7月每晚连续记录。我们回顾了声谱图(声音的视觉表示),并标记了目标发声,从约160,000小时的录音中提取了呼叫。即使是在历史上占有率较低的研究区域(华盛顿的奥林匹克半岛),经过3周的记录,当一只北斑猫头鹰出现在六边形中时,发现它的概率也超过了0.95。在所有研究区域,主要来自雨、风和溪流的环境噪声降低了这两种物种的检测概率。利用已知的北方斑点猫头鹰的人口统计信息,我们发现当ARUs靠近已知的巢穴和活动中心以及猫头鹰配对时,北方斑点猫头鹰的每周检测概率更高,这表明被动声学数据单独可以帮助定位景观中的北方斑点猫头鹰对。这些结果表明,即使在横斑猫头鹰密度很高的景观中,ARUs也能有效地探测到北方斑点猫头鹰的存在,从而促进了使用被动的、基于占用的研究设计来监测北方斑点猫头鹰的种群。
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
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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