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Estimated density of four carabid beetle species in Mongolian oak and Korean red pine forest ecosystems on Baekdudaegan mountain range (Mt. Oade and Mt. Guryong) of South Korea

Authors
Kim, Do SungKim, Jung LarkPark, Seong-JoonKim, JinhongSung, JieunNam, JongwooPark, Doo-SangKim, Taik HoJin, Sung JuYi, Hoonbok
Issue Date
Jul-2015
Publisher
WILEY-BLACKWELL
Keywords
beetles; carabid; Korean red pine; Mongolian oak; population
Citation
ENTOMOLOGICAL RESEARCH, v.45, no.4, pp 209 - 216
Pages
8
Journal Title
ENTOMOLOGICAL RESEARCH
Volume
45
Number
4
Start Page
209
End Page
216
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/9411
DOI
10.1111/1748-5967.12115
ISSN
1738-2297
1748-5967
Abstract
The estimation of animal population size is a primary field of interest for wildlife biologists, and such numerical estimation of wild animals is a very important factor in establishing national policy towards nature. Therefore, we performed this study to estimate the population density of carabid beetles preying on soil biota at the Mongolian oak (Quercus mongolica) forests and Korean red pine (Pinus densiflora) forests of two mountains, Mt. Odae and Mt. Guryong. We used the trapping web method with pitfall traps to collect the beetles. We calculated the estimated density of a total of four carabid beetle species in two specific regions and converted them to an estimated beetle population size within a certain area by using the study area. From our estimates, one beetle species, Leptocarabus seishinensis seishinensisL., displayed statistically significant results. Although there was no appreciable difference in the makeup of different carabid beetle species between the two forest communities, the population size of the beetle species was larger in Mongolian oak forests than in Korean red pine forests. The spatial distribution of carabid beetles by forest type did not show any preference for particular spots. Our results showed that carabid beetles did not have specific home ranges and that they were not density dependent. We expect to use the raw data to recognize the response of soil organisms to changes in the habitat environment and to track the patterns of change more accurately over long passages of time.
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College of Engineering > School of Civil and Environmental Engineering, Urban Design and Studies > 1. Journal Articles

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