Estimating rodent density using infrared-triggered camera technology

Shusheng, 章书声 Zhang; Yixin, 鲍毅新 Bao; Yanni, 王艳妮 Wang; Pingfu, 方平福 Fang; Ye, Bin

doi:10.5846/stxb201202290272

Cited by 5 publications

(12 citation statements)

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“…IR cameras have been used to assess species diversity survey and population density estimation in large mammals (Rowcliffe et al 2008;Mondol et al 2009;Zhang et al 2013). However, IR cameras are less used in studies on small rodents (Zhang et al 2013). Nocturnal small mammals are difficult to identify to individuals through photos or videos taken at night due to the lack of "natural marks".…”

Section: Benefits and Applications Of Ir Cameras In The Ecological Stmentioning

confidence: 99%

“…Nocturnal small mammals are difficult to identify to individuals through photos or videos taken at night due to the lack of "natural marks". Identifying gender and age is just as difficult (Zhang et al 2013). IR cameras have their own shortcomings.…”

Section: Benefits and Applications Of Ir Cameras In The Ecological Stmentioning

confidence: 99%

“…Moreover, IR cameras have many benefits, such as being non-invasive, capacity for long-term monitoring with 24 hour or longer monitoring (Karanth 1995;Rowcliffe et al 2008;O'Connell et al 2020), low cost, low environmental interference, resistance to environmental changes, and ability to record greatly hidden species and complex terrain (Karanth 1995;Rowcliffe et al 2008;Mondol et al 2009;O'Connell et al 2010;Zhang et al 2013;Claridge et al 2019). In addition, IR cameras can capture a large amount of information in the natural state (O'Connell et al 2010), including population structure, species diversity, and some information on spatial distribution (Mondol et al 2009;Zhang et al 2013;Claridge et al 2019). As a result, IR cameras have been widely used in studies involving field monitoring, quantity estimation, habitat characteristics, individual recognition, behavior patterns, and activity rhythm (Mondol et al 2009;Zhang et al 2013;Claridge et al 2019).…”

Section: Introductionmentioning

confidence: 99%

“…In addition, IR cameras can capture a large amount of information in the natural state (O'Connell et al 2010), including population structure, species diversity, and some information on spatial distribution (Mondol et al 2009;Zhang et al 2013;Claridge et al 2019). As a result, IR cameras have been widely used in studies involving field monitoring, quantity estimation, habitat characteristics, individual recognition, behavior patterns, and activity rhythm (Mondol et al 2009;Zhang et al 2013;Claridge et al 2019). For example, in studies involving mammals in the superorder Glires, IR cameras have been widely used to assess species diversity and estimate population density (Zhang et al 2013).…”

Section: Introductionmentioning

confidence: 99%

“…As a result, IR cameras have been widely used in studies involving field monitoring, quantity estimation, habitat characteristics, individual recognition, behavior patterns, and activity rhythm (Mondol et al 2009;Zhang et al 2013;Claridge et al 2019). For example, in studies involving mammals in the superorder Glires, IR cameras have been widely used to assess species diversity and estimate population density (Zhang et al 2013). However, in smaller-bodied species of Glires, such information is lacking.…”

Section: Introductionmentioning

confidence: 99%

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Observations of the foraging behavior and activity patterns of the Korean wood mouse, Apodemus peninsulae, in China, using infra-red cameras

Li¹,

Hao²,

Xu³

et al. 2020

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Apodemus peninsulae, a dominant rodent species in temperature forests of northeastern China, is a model animal to explore the ecological functions of reciprocal coevolution of animals and plants. From August to October 2016, 24 infra-red cameras were installed to study the feeding behavior and activity patterns of A. peninsulae in its natural environment. By analyzing 5618 video records, we found that feeding behavior, followed by motor and sentinel behaviors, was their main activity. In the behavior spectra, motor behavior (creep, walk, and skip), feeding behavior (forage, feeding, transport, hoarding, and clean), and sentinel behavior (alert, flee, banishment, and coexistence) accounted for 57.96%, 40.36%, and 1.68% of their behavior, respectively. The peak of feeding behavior occurred between 18:00 and 23:00, and feeding behavior frequency, duration, and activity rhythms differ among August to October. Furthermore, activity was the greatest after sunset and before sunrise, indicating a nocturnal lifestyle; however, from August to October, the start time of the activity was earlier, and the end time was later than usual. On average, mice spent 21.6 ± 11.6 times/night feeding, with a duration of 63.58 ± 98.36 s; while they spent less time in foraging, 39.05 ± 51.63 s. We found a significant difference in feeding and foraging frequency, with mice spending on average 10.84 ± 9.85 times/night and 9.23 ± 11.17 times/night, respectively. Our results show that feeding and foraging behavior is also influenced by light intensity, suggesting a preference for crepuscular periods of the day. Infra-red cameras are very useful in detecting activity patterns of animals that are not easily observable; these cameras are able to capture a large amount of valuable information for research into ecological functions.

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