摘要
基于数字地形图,使用ArcView和ERDA S软件制作了数字高程模型;基于数字高程模型,使用ArcMap软件提取了季节雨林、山地雨林等9个自然植被类型沿坡向、坡度、坡位和海拔4个地形因子的分布图层,并结合植被图制作了9个植被类型按地形因子分布的三维立体植被图;用EXCEL软件统计了9个植被类型沿4个地形因子的分布面积;经计算和分析,找出了糯扎渡自然保护区9个植被类型沿4个地形因子的分布规律。结果显示,(1)有1个植被类型分布在5个坡向,其他8个类型在8个坡向均有分布;(2)9个自然植被类型在6个坡度级均有分布;(3)有2个植被类型分布在3个坡位,有1个类型分布在4个坡位,有2个类型分布在5个坡位,有4个类型在6个坡位均有分布;(4)有2个植被类型分布在5个海拔带,有3个类型分布在6个海拔带,有1个类型分布在8个海拔带,有1个类型分布在11个海拔带,有2个类型分布在13个海拔带;(5)9个植被类型的适生地形因子各异;(6)在4个地形因子中,植被类型均以季风常绿阔叶林为优势。
A digital elevation model was developed from a digital map by using ArcView and ERE）AS softwares. Layers for the 9 vegetation types like the seasonal rain forest and the mountain rain forest by slope orientation, slope gradient, slope position and altitude were obtained respectively from the digital elevation model by using ArcMap. 3D digital maps by topographical factors for the 9 vegetation types distributed were developed with the aid of a vegetation map. Areas for the 9 vegetation types were calculated by the 4 topographical factors respectively by using EXCEL. The calculation and analysis revealed the distribution pattern for the 9 vegetation types in Nuozhadu Nature Reserve The results were as follows （1） One of the 9 vegetation types was distributed in 5 slope orientation classes and the rest 8 vegetation types were found at all 8 slope orientation classes; （2） The 9 vegetation types were found in all 6 slope gradient classes; （3） Two of the 9 vegetation types were found in 3 slope position classes, one was found in 4 slope position classes, two were in 5 slope position classes, and four were in 6 slope position classes; （4） Two of the 9 vegetation types were found in 5 altitude classes, three were in 6 altitude classes, one were in 8 altitude classes, one was in 11 altitude classes, and two were in 13 altitude classes; （5） Adaptable topographical factors for the 9 vegetation types varied remarkably; （6） The dominant vegetation type under all the 4 topographical factors was the monsoon evergreen broadleaved forest.
出处
《西北林学院学报》
CSCD
北大核心
2007年第2期9-14,共6页
Journal of Northwest Forestry University
基金
中荷合作云南省森林保护与社区发展项目
北京林业大学资源与环境学院重点实验室项目(JD100220535)
关键词
自然保护区
植被
数字高程模型
地形因子
nature reserve
vegetation
digital elevation model
topographical factor
