Thanks to repetition, dustbathing detection can be automated combining accelerometry and wavelet analysis

IF 1.3 4区 生物学 Q4 BEHAVIORAL SCIENCES Ethology Pub Date : 2024-04-24 DOI:10.1111/eth.13466
Rocio Guadalupe Fonseca, Maria Candelaria Bosch, Florencia Cecilia Spanevello, Maria Victoria de la Fuente, Raul Hector Marin, Lucas Barberis, Jackelyn Melissa Kembro, Ana Georgina Flesia
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Abstract

Birds from at least a dozen orders engage in dustbathing, including Galliformes. Dustbathing is generally considered a behavioural need for poultry. It involves a precise and orderly sequence of movements repeated over time. The most characteristic movement involves tossing the dust with the wings and undulating the body beneath the dust shower. Thus, repetitive changes in body position during dustbathing could be automatically detected through data processing of body-mounted accelerometer recordings. The approach was tested in 13 adult male Japanese quail (Coturnix japonica) fitted with a body mounted triaxial accelerometer. Behaviour was video-recorded for at least 6 h. Observations showed that when the animal lies on its left- or right-side during dustbathing, the lateral (swaying) component of the acceleration vector adopts values of +1 or −1, respectively. Analysis shows that the bird repeats these shifts in body position every 25–60 s. The wavelet analysis (i.e. complex Morlet continuous wavelet transform (CWT)) detected this oscillatory behaviour within the time series as higher power values. This characteristic was used to automate the detection of dustbathing events, for which a threshold value for the maximum power value estimated was established for the corresponding range of scales between 25 and 60 s. The overall general accuracy of this classification method for dustbathing detection was 80%, with individual variations falling within the range of 66%–100%. Finally, an example of the potential of this method in the study of temporal dynamics, such as daily rhythms of dustbathing, is provided. Our results show that combining accelerometry and wavelet analysis could be useful for the assessment of intra- and inter-individual variability in dustbathing dynamics over long-term studies, even within large complex environments, such as natural habitats or breeding facilities. Moreover, this approach could open doors for future in-depth studies exploring the relationship between dustbathing and poultry welfare.

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由于重复性,结合加速度测量和小波分析,可自动进行粉尘浴检测
至少有十几种鸟类会进行尘浴,包括胆形目。一般认为,洗尘是家禽的一种行为需要。它包括一连串精确而有序的动作,随着时间的推移不断重复。最有特点的动作是用翅膀甩动灰尘,并在灰尘淋浴下起伏身体。因此,可以通过对安装在身体上的加速度计记录进行数据处理,自动检测出尘浴过程中身体位置的重复变化。该方法在 13 只成年雄性日本鹌鹑(Coturnix japonica)身上进行了测试,鹌鹑身上安装了一个三轴加速度计。观察结果表明,当鹌鹑左侧卧或右侧卧洗尘时,加速度矢量的横向(摇摆)分量分别为+1或-1。分析表明,鸟类每隔 25-60 秒就会重复这些身体位置的变化。小波分析(即复莫雷特连续小波变换 (CWT))以较高的功率值检测到时间序列中的这种振荡行为。这种特征被用于自动检测尘浴事件,为此,在 25 至 60 秒之间的相应时间范围内为估计的最大功率值设定了一个阈值。这种分类方法对尘浴检测的总体准确率为 80%,个体差异在 66%-100%之间。最后,我们举例说明了这种方法在研究时间动态(如每天的沐尘节律)方面的潜力。我们的研究结果表明,将加速度测量与小波分析相结合,有助于评估长期研究中个体内和个体间的嗜尘动态变异性,即使是在大型复杂环境中,如自然栖息地或繁殖设施。此外,这种方法还能为今后深入研究浴尘与家禽福利之间的关系打开大门。
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来源期刊
Ethology
Ethology 生物-动物学
CiteScore
3.40
自引率
5.90%
发文量
89
审稿时长
4-8 weeks
期刊介绍: International in scope, Ethology publishes original research on behaviour including physiological mechanisms, function, and evolution. The Journal addresses behaviour in all species, from slime moulds to humans. Experimental research is preferred, both from the field and the lab, which is grounded in a theoretical framework. The section ''Perspectives and Current Debates'' provides an overview of the field and may include theoretical investigations and essays on controversial topics.
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