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http://dx.doi.org/10.17663/JWR.2017.19.1.164

Studies on major plant communities distribution factors of the Gayasan national park using GIS  

Kim, Bo-Mook (Dept. of Civil & Environmental Engineering, Kongju National Univ.)
Yang, Keum-Chul (Dept. of Civil & Environmental Engineering, Kongju National Univ.)
Publication Information
Journal of Wetlands Research / v.19, no.1, 2017 , pp. 164-171 More about this Journal
Abstract
This study analysed 7 distribution features of dominant natural vegetation, such as elevation, slope, aspect, topographic index, annual mean temperature, warmth index and potential evapotranspiration using geographic information system(GIS) in Gayasan national park. The Gayasan national park has total 128 communities in which Pinus densiflora community occupies with 29.42%, Quercus mongolica community 27.66% relatively. These two communities comprise 80.58% out of total area, considering Q. mongolica & P. densiflora dominantly mixed communities. The Q. mongolica communities range around 575~1,065m(80.4%) in elevation, and the P. densiflora communities range around 465~965m(84.1%), respectively. The slopes of those two communities areas showed over $21^{\circ}$(78.0%) and (71.3%) respectively. In terms of slope aspect occurrence, Q. mongolica communities occur mostly on northern slope, and the P. densiflora communities on southern slope. The topographic indices of both communities occur around 5~6 most frequently. The Annual mean temperature distributions of Q. mongolica and P. densiflora range $7{\sim}8^{\circ}C$(83%), $8{\sim}9^{\circ}C$(84%), respectively, And the warmth index range of Q. mongolica is $59{\sim}70^{\circ}C{\cdot}month$ and the P. densiflora community, $58{\sim}88^{\circ}C{\cdot}month$. The potential evapotranspiration ranges mostly from 560 to 590mm/yr, in Q. mongolica communities, and from 580 to 610mm/yr in P. densiflora communities.
Keywords
Gayasan national park; Vegetation distribution; Geographic information system(GIS); Warmth index; Topographic index;
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Times Cited By KSCI : 4  (Citation Analysis)
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