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http://dx.doi.org/10.17663/JWR.2018.20.2.124

Study of Population Dynamics of Birds Using Unmanned Monitoring System in Rice Paddy  

Nam, Hyung-Kyu (National Institute of Agricultural Sciences)
Kim, Myung-Hyun (National Institute of Agricultural Sciences)
Kwon, Soon-Ik (National Institute of Agricultural Sciences)
Eo, Jinu (National Institute of Agricultural Sciences)
Song, Young-Ju (National Institute of Agricultural Sciences)
Publication Information
Journal of Wetlands Research / v.20, no.2, 2018 , pp. 124-130 More about this Journal
Abstract
This study was conducted to identify the characteristics of bird population dynamics using unmanned monitoring system in rice paddy. We compared the similarity of population dynamics of birds between unmanned monitoring system and field survey, and evaluated the spatial and temporal patterns of population dynamics of birds using the unmanned monitoring system. The monitoring using the system was conducted from January 1, 2014 to December 31, 2016 in Cheolwon, Dangjin, Buan, and Heanam. The images from the system were obtained at 10-min intervals from 6:00 to 20:00. The field survey was conducted once a month in Dangjin from January to December 2016. Total 91,980 images were obtained from the unmanned monitoring system. We extracted the number of individuals for herons, shorebirds, and waterfowl from the images. The population dynamics of waterbirds using the unmanned monitoring system were similar to that in field survey. Especially, population dynamics of herons was more similar than other waterbirds. It was identified that the population dynamics of herons using the unmanned monitoring system was different among the Cheolwon, Dangjin, Buan, and Heanam. Furthermore, the unmanned monitoring system was available on various time scale such as month, day, and minute. It is expected that long-term data storage using the unmanned monitoring system can be used to identify in detail and forecast the population dynamics of birds in rice paddy.
Keywords
Population dynamics; rice field; unmanned monitoring system; waterbirds;
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