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http://dx.doi.org/10.11626/KJEB.2019.37.4.759

Estimation of mean annual extreme minimum temperature raster and predicting the potential distribution for Ipomoea triloba using Proto3 model in the Korean peninsula  

Lee, Yong Ho (Department of Plant & Environmental Science, Hankyong National University)
Choi, Tae Yang (Department of Plant & Environmental Science, Hankyong National University)
Lee, Ga Eun (Department of Plant & Environmental Science, Hankyong National University)
Na, Chea Sun (Seed Conservation Division, Baekdudaegan National Arboretum)
Hong, Sun Hee (Department of Plant & Environmental Science, Hankyong National University)
Lee, Do-Hun (Division of Ecological Conservation, National Institute of Ecology)
Oh, Young Ju (Institute for Future Environmental Ecology Co., Ltd)
Publication Information
Korean Journal of Environmental Biology / v.37, no.4, 2019 , pp. 759-768 More about this Journal
Abstract
This study was conducted to estimate the mean annual extreme minimum temperature raster and predict the potential distribution of the invasive plant, Ipomoea triloba, on the Korean peninsula. We collected annual extreme minimum temperature and mean coldest month minimum temperature data from 129 weather stations on the Korean peninsula from 1990-2019 and used this data to create a linear regression model. The min temperature of the coldest month raster from Worldclim V2 were used to estimate a 30 second spatial resolution, mean annual extreme minimum temperature raster of the Korean peninsula using a regression model. We created three climatic rasters of the Korean peninsula for use with the Proto3 species distribution model and input the estimated mean annual extreme minimum temperature raster, a Köppen-Geiger climate class raster from Beck et al. (2018), and we also used the mean annual precipitation from Worldclim V2. The potential distribution of I. triloba was estimated using the Proto3 model with 117 occurrence points. As a result, the estimated area for a potential distribution of I. triloba was found to be 50.7% (111,969 ㎢) of the Korean peninsula.
Keywords
Invasive plant; Proto3; Ipomoea triloba; Annual extreme minimum temperature; Risk assessment;
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Times Cited By KSCI : 9  (Citation Analysis)
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