A new method to estimate abundance of Australasian Bittern (Botaurus poiciloptilus) from acoustic recordings

IF 1.4 4区 环境科学与生态学 Q3 BIODIVERSITY CONSERVATION
Elizabeth Znidersic, David M. Watson, Michael W. Towsey
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引用次数: 0

Abstract

Effective conservation management relies on survey methods that accurately represent the biological communities being monitored. Here, we describe a novel approach using long-duration acoustic recordings to estimate abundance of a threatened wetland bird, the Australasian Bittern (Botaurus poiciloptilus). Whereas acoustic monitoring enables a large increase in effort compared to traditional on-site monitoring, e.g., triangulation surveys, it is difficult to estimate the number of individuals of a target species in acoustic recordings. We describe a semi-automated approach to estimate bittern abundance at four sites in the Barmah-Millewa Forest of southern Australia using single-channel, long-duration recordings. Our approach leveraged several known characteristics of bittern calling behavior. We obtained abundance estimates that are larger than those previously found using triangulation surveys at the same site. This is primarily attributed to our ability to find the peak calling hours in a long-duration recording, which does not require the training of a machine-learning call-recognizer. If the method we describe is performed in a consistent, standardized manner, it can identify population trends, which is an important outcome for a threatened species. Our method should be suitable for other furtive wetland species with a similar call structure or frequency range.

The post A new method to estimate abundance of Australasian Bittern (Botaurus poiciloptilus) from acoustic recordings first appeared on Avian Conservation and Ecology.

利用声学记录估算澳洲苦胆(Botaurus poiciloptilus)数量的新方法
有效的保护管理有赖于能准确反映所监测生物群落的调查方法。在这里,我们介绍了一种利用长时间声学记录来估算濒危湿地鸟类--澳大利西亚苦胆(Botaurus poiciloptilus)--丰度的新方法。与传统的现场监测(如三角测量)相比,声学监测能大大增加工作量,但很难估计声学记录中目标物种的个体数量。我们介绍了一种半自动方法,利用单通道、长时间录音估算澳大利亚南部巴尔马-米勒瓦森林四个地点的斑羚丰度。我们的方法利用了斑羚叫声行为的几个已知特征。我们获得的丰度估计值大于之前在同一地点使用三角测量法获得的估计值。这主要归功于我们能够在长时间的录音中找到高峰期的鸣叫时间,而这并不需要训练机器学习的鸣叫识别器。如果我们描述的方法能够以一致、标准化的方式执行,那么它就能识别种群趋势,这对于一个濒危物种来说是非常重要的结果。我们的方法应该适用于其他具有类似叫声结构或频率范围的湿地毛皮物种。
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来源期刊
Avian Conservation and Ecology
Avian Conservation and Ecology BIODIVERSITY CONSERVATION-ORNITHOLOGY
CiteScore
2.20
自引率
7.10%
发文量
43
审稿时长
>12 weeks
期刊介绍: Avian Conservation and Ecology is an open-access, fully electronic scientific journal, sponsored by the Society of Canadian Ornithologists and Birds Canada. We publish papers that are scientifically rigorous and relevant to the bird conservation community in a cost-effective electronic approach that makes them freely available to scientists and the public in real-time. ACE is a fully indexed ISSN journal that welcomes contributions from scientists all over the world. While the name of the journal implies a publication niche of conservation AND ecology, we think the theme of conservation THROUGH ecology provides a better sense of our purpose. As such, we are particularly interested in contributions that use a scientifically sound and rigorous approach to the achievement of avian conservation as revealed through insights into ecological principles and processes. Papers are expected to fall along a continuum of pure conservation and management at one end to more pure ecology at the other but our emphasis will be on those contributions with direct relevance to conservation objectives.
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