@article{ART001443337},
author={Lee, Dong Kun and 김재욱 and Chan Park},
title={A Prediction of Forest Vegetation based on Land Cover Change in 2090},
journal={Journal of Environmental Impact Assessment},
issn={1225-7184},
year={2010},
volume={19},
number={2},
pages={117-125}
TY - JOUR
AU - Lee, Dong Kun
AU - 김재욱
AU - Chan Park
TI - A Prediction of Forest Vegetation based on Land Cover Change in 2090
JO - Journal of Environmental Impact Assessment
PY - 2010
VL - 19
IS - 2
PB - Korean Society Of Environmental Impact Assessment
SP - 117
EP - 125
SN - 1225-7184
AB - Korea’s researchers have recently studied the prediction of forest change, but they have not considered landuse/cover change compared to distribution of forest vegetation. The purpose of our study is to predict forest vegetation based on landuse/cover change on the Korean Peninsula in the 2090's. The methods of this study were Multi-layer perceptrom neural network for Landuse/cover (water, urban, barren, wetland, grass, forest, agriculture) change and Multinomial Logit Model for distribution prediction for forest vegetation (Pinus densiflora,Quercus Spp., Alpine Plants, Evergreen Broad-Leaved Plants). The classification accuracy of landuse/cover change on the Korean Peninsula was 71.3%. Urban areas expanded with large cities as the central, but forest and agriculture area contracted by 6%. The distribution model of forest vegetation has 63.6% prediction accuracy. Pinus densiflora and evergreen broad-leaved plants increased but Quercus Spp. and alpine plants decreased from the model. Finally, the results of forest vegetation based on landuse/cover change increased Pinus densiflora to 38.9%and evergreen broad-leaved plants to 70% when it is compared to the current climate. But Quercus Spp. decreased 10.2% and alpine plants disappeared almost completely for most of the Korean Peninsula. These results were difficult to make a distinction between the increase of Pinus densiflora and the decrease of Quercus Spp. because of they both inhabit a similar environment on the Korean Peninsula.
KW - Climate change;Korean Peninsula;Regional climate model;Multi-layer perceptrom neural network;Multinomial Logit Model
DO -
UR -
ER -
Lee, Dong Kun, 김재욱 and Chan Park. (2010). A Prediction of Forest Vegetation based on Land Cover Change in 2090. Journal of Environmental Impact Assessment, 19(2), 117-125.
Lee, Dong Kun, 김재욱 and Chan Park. 2010, "A Prediction of Forest Vegetation based on Land Cover Change in 2090", Journal of Environmental Impact Assessment, vol.19, no.2 pp.117-125.
Lee, Dong Kun, 김재욱, Chan Park "A Prediction of Forest Vegetation based on Land Cover Change in 2090" Journal of Environmental Impact Assessment 19.2 pp.117-125 (2010) : 117.
Lee, Dong Kun, 김재욱, Chan Park. A Prediction of Forest Vegetation based on Land Cover Change in 2090. 2010; 19(2), 117-125.
Lee, Dong Kun, 김재욱 and Chan Park. "A Prediction of Forest Vegetation based on Land Cover Change in 2090" Journal of Environmental Impact Assessment 19, no.2 (2010) : 117-125.
Lee, Dong Kun; 김재욱; Chan Park. A Prediction of Forest Vegetation based on Land Cover Change in 2090. Journal of Environmental Impact Assessment, 19(2), 117-125.
Lee, Dong Kun; 김재욱; Chan Park. A Prediction of Forest Vegetation based on Land Cover Change in 2090. Journal of Environmental Impact Assessment. 2010; 19(2) 117-125.
Lee, Dong Kun, 김재욱, Chan Park. A Prediction of Forest Vegetation based on Land Cover Change in 2090. 2010; 19(2), 117-125.
Lee, Dong Kun, 김재욱 and Chan Park. "A Prediction of Forest Vegetation based on Land Cover Change in 2090" Journal of Environmental Impact Assessment 19, no.2 (2010) : 117-125.
