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http://dx.doi.org/10.13047/KJEE.2021.35.2.164

The Plants Social Network through the Analysis of the Plant Community Structure and the Social Network - Conducted in Mudeungsan National Park -  

Jang, Jung-Eun (Dept. of Landscape Architecture, Graduate School, Pusan Univ.)
Lee, Sang-Cheol (Applied Ecology Lab., Pusan Univ.)
Kang, Hyun-Mi (Dept. of Landscape Architecture, Mokpo National Univ.)
Yu, Seung-Bong (DMZ Botanic Garden, Korea National Arboretum)
Shin, Hae-Seon (Dept. of Landscape Architecture, Graduate School, Pusan Univ.)
Choi, Song-Hyun (Dept. of Landscape Architecture, Pusan Univ.)
Publication Information
Korean Journal of Environment and Ecology / v.35, no.2, 2021 , pp. 164-180 More about this Journal
Abstract
Plants Social Network(PSN) analysis combines the plant sociological method and the social network analysis to understand plant society focusing on environmental-to-plant and plant-to-plant relationships. PSN is at an early stage of research and require comparing plant society analyses in various environments and existing interspecies binding analysis. This study conducted a vegetation structural analysis of Mudeungsan National Park and compared the existing interspecies connection analysis with the PSN. A total of 60 plots were established for a survey on the Old Trail. The TWINSPAN and DCA analysis showed that the 60 survey plots were divided into the Quercus serrata-Pinus densiflora community (Community I) and the Quercus mongolica community (Community II) based on an altitude of 800 meters. We performed the interspecies correlation with more than 30% emergence frequency and the DCA analysis and compared the results with a focus on the major species in each colony. The results showed that Quercus serrata had a correlation of -0.450** and -0.375** with Pinus densiflora and Quercus mongolica, respectively. The DCA analysis also confirmed that Quercus serrata was located close to Pinus densiflora and far from Quercus mongolica along one axis. For the PSN analysis of PSN, 40 survey plots were added to investigate the species appearing in a total of 100 survey plots. The network structural analysis showed 378 links and a species having an average of 6 interspecies bindings. The density was 0.097, the diameter was 7, and the average path distance was 2.788, similar to the PSN analysis results of the Busan Metropolitan City. The plant social network analysis showed similar results to the existing interspecies combination analysis, enabling analyzing more data than the existing methods and observing the structure of plant society.
Keywords
RELATION; PEARSON CORRELATION COEFFICIENT; DCA; TWINSPAN; PLANT SOCIAL NETWORK;
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