• 한국조경학회지
• /
• 제30권1호
• /
• pp.11-17
• /
• 2002

This paper compares the difference between the village groves in the Jinan settlement region and the Hamyang settlment region in Honam and the Youngnam mountainous region. The results are as follows: Fifty-one village groves in the Jinan legion were found and 40 village groves were found in the Hamyang region. It was established that the village groves in the Jinan region of Honam province were conserved better than those of Hamyang region of Youngnam province. In the Jinan area, the village groves were principally found in the Jinan-eup and the Hamyang regions, primarily in Seosang-myun and Aneui-myun. So it was determined that the village groves were distributed inequitably in the two regions. In L / W ratio, the Jinan region is 3.6 and Hamyang region is 2.0 Jinan is 1.8 times greater than Hamyang. Therefore, it was concluded that Jinan is stronger than Hamyang in linear function of the village groves. Stone stooge for complementation function was found in 11 village groves in the Jinan region and 6 village groves in Hamyang. So the percentage of the remaining stone storage is 15-20 % of all village groves. Regarding grove makeup, the village gloves in Jinan region is deciduous forest principally. In contrast, the groves of Hamyang are principally coniferous forest. The dominant tree of the Jinan-gun region is Zelkova serrata, but in Hamyang it is Pinus densiflrora. By number, Hamyang region has two times the trees than Jinan region. In density of stand, the Hamyang region is 76.2% higher than Jinan region. In height and diameter of trees, the Jinan region is greater than the Hamyang region. It was identified that RSI of both region is 40%. So in density of trees, both region are sparse. This paper has a limit in ideiltiting the differences between Yolmg-nam ar\ulcorner Hnam village groves because comparative review only examined two regions.

• 농업과학연구
• /
• 제43권1호
• /
• pp.40-51
• /
• 2016

This study analyzed settlement condition changes of Chungcheong region's mountain area during 10 years, from 2001 to 2012. We performed factor analysis and cluster analysis of data from the 'Census for Mountain Area' carried out by the Korea Forest Service in 2001 and 2012. Factors 1, 2, 3, and 4 represent 'the superiority of non-agricultural income', 'the industrialized mountainous area', 'residential conveniences and benefits', and 'the use of forest resources', respectively. Clusters 1, 2, 3, 4, and 5 are categorized as 'non-agricultural income', 'various mass social functions', 'production of forest products', 'industrialized mountainous region', and 'ordinary mountain region', respectively. We suggest that cluster 1 has potential for development and should be promoted as a possible tourist attraction by digging up geographically unique themes. Cluster 2 has great potential for development and needs planned management through the maintenance or expansion of existing infrastructure. Cluster 3 has potential for development with various high value added industries uncovered. Cluster 4 shows vitality as it holds plenty of more job opportunities than other regions. Cluster 5 is deteriorating as a mountainous region because of an aging population, and it urgently demands development. For a decade, 45 of the 60 regions belonged to a single category, which are now differentiated broadly into two types: Firstly, deterioration changes to potential development and Secondly, vitality is differentiated into potential development and deterioration.