首页> 外文期刊>Journal of Korean Forestry Society >Distribution Pattern of Pinus densiflora and Quercus Spp. Stand in Korea Using Spatial Statistics and GIS
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Distribution Pattern of Pinus densiflora and Quercus Spp. Stand in Korea Using Spatial Statistics and GIS

机译:松树和栎属的分布格局。站在韩国使用空间统计和GIS

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摘要

This study was performed for exploring the spatial distribution pattern of Pinus densiflora and Quercus spp. in Korea. Firstly, the spatial distribution map of Pinus densiflora and Quercus spp. was prepared in grid of 100 mX 100m at national level, using digital forest type map and actual vegetation map. And thematic maps for topography, climate, and soil were also prepared in the raster form of 100 mX 100 m. Through GIS based spatial analysis of the digital distribution map of Pinus densiflora and Quercus spp. and thematic maps, the spatial characteristics of Pinus densiflora and Quercus spp. distribution was explored in relation to the environmental factors such as topography, climate, and soil. And the occurrence frequency models of Pinus densiflora and Quercus spp. were derived. Pinus densiflora occurs more often than Quercus spp. at low elevation, low slope gradient, and high temperature areas. In addition, Pinus densiflora is mainly distributed at shallow and well-drained loamy soil from igneous rocks. In contrast, Quercus spp. is more common at shallow and well-drained loamy soil from metamorphic rocks. As a result, the prediction model for the spatial distribution of Pinus densiflora and Quercus spp. by topographical variables has proven successful with high statistical significance. The result of this study can contribute to rational management of Pinus densiflora and Quercus spp. stand in Korea, considering environmental factors such as topography, climate, and soil.
机译:本研究旨在探讨松果和栎属植物的空间分布格局。在韩国。首先,绘制了松树和栎属的空间分布图。使用数字森林类型图和实际植被图,在国家水平的100 mX 100m的网格中进行了准备。并以100 mX 100 m的栅格形式准备了地形,气候和土壤专题图。通过基于GIS的空间分析,对松树和栎属植物的数字分布图进行了分析。以及专题图,松树和栎属的空间特征。研究了与地形,气候和土壤等环境因素有关的分布。以及松果和栎属的发生频率模型。被派生。茂密松比栎属更常见。在低海拔,低坡度和高温区域。此外,松果树主要分布在火成岩的浅层和排水良好的壤土上。相比之下,栎属。在变质岩的浅层和排水良好的壤土中更为常见。结果,建立了松果和栎属植物空间分布的预测模型。地形变量证明已成功,具有很高的统计意义。这项研究的结果可以有助于对松树和栎属的合理管理。站在韩国,要考虑地形,气候和土壤等环境因素。

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