Properties of the Forest Landscape Patches in Maofeng Mountain, Guangzhou
Hui Liu
Abstract
Hui Liu
Abstract
Based on the SPOT image, the topographic map and digital elevation model, this paper analyzed the forest landscape types and the properties of different patches in Maofeng Mountain, Guangzhou with the GIS ARCVIEW software. The results are mainly as follows: 1) The forest landscape in Maofeng Mountain could be divided into 11 patch types; 2) The area, perimeter and number of different patch types varied greatly; 3) Broadleaved mixed forest and coniferous and broadleaved mixed forest were the dominant landscape types in the Mountain; and 4) The patches of orchard and bamboo forest were small, numerous and dispersedly distributed, their shape index and density index were relatively high, indicating that the landscape was highly fragmented. However, the shape and density indexes of broadleaved mixed forest and coniferous and broadleaved mixed forest were small, the patch types kept intact and the landscape was less fragmented.
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Based on the SPOT image, the topographic map and digital elevation model, this paper analyzed the forest landscape types and the properties of different patches in Maofeng Mountain, Guangzhou with the GIS ARCVIEW software. The results are mainly as follows: 1) The forest landscape in Maofeng Mountain could be divided into 11 patch types; 2) The area, perimeter and number of different patch types varied greatly; 3) Broadleaved mixed forest and coniferous and broadleaved mixed forest were the dominant landscape types in the Mountain; and 4) The patches of orchard and bamboo forest were small, numerous and dispersedly distributed, their shape index and density index were relatively high, indicating that the landscape was highly fragmented. However, the shape and density indexes of broadleaved mixed forest and coniferous and broadleaved mixed forest were small, the patch types kept intact and the landscape was less fragmented.
Key concepts: Geography, Bamboo, Elevation (ballistics), Orchard, Digital elevation model, Forestry, Physical geography, Ecology