摘要
以大通县青海云杉天然林为研究对象,运用RS与GIS技术,基于遥感影像数据和地形图等数据,定量分析大通县青海云杉空间分布与地形因子的关系。结果表明,按照坡度统计,青海云杉分布在缓坡(6°~15°)、斜坡(16°~25°)、陡坡(26°~35°)的占比达到96.77%,其中斜坡分布最多,占59.29%。按照海拔统计,青海云杉分布在海拔2500~3400 m的占比达98.59%,其中海拔2500~2800 m占36.38%,海拔2800~3100 m占25.27%,海拔3100~3400 m占36.94%。按照坡向统计,主要分布在阴坡、半阴坡(西北坡和东北坡)、半阳坡(西南坡和东南坡),其中,在阴坡和半阴坡分布最多,占60.58%;半阳坡占28.19%。综合结果表明,大通县青海云杉适宜生长在斜坡,海拔2500~3400 m,阴坡、半阴坡、半阳坡的区域。
Using RS and GIS technology,the spatial distribution of Qinghai spruce in Datong County was quantitatively analyzed in relation to topographic factors based on remote sensing image data and topographic maps.The results showed that,according to the slope statistics,the percentage of Qinghai spruce distributed on gentle slopes(6°~15°),slopes(16°~25°),and steep slopes(26°~35°)reached 96.77%,among which the slopes were the most distributed,accounting for 59.29%.According to the statistics of elevation,the percentage of Qinghai spruce distributed in elevation 2500~3400 m reached 98.59%,among which 36.38%were in elevation 2500~2800 m,25.27%in elevation 2800~3100 m,and 36.94%in elevation 3100~3400 m.According to the statistics of slope direction,they are mainly distributed on shady slopes,semi-shady slopes(northwest and northeast slopes)and semi-positive slopes(southwest and southeast slopes),among which,the distribution on shady and semi-shady slopes is the most,accounting for 60.58%,while semi-positive slopes account for 28.19%.The comprehensive results indicated that Qinghai spruce in Datong County was suitable for growing on slopes,with elevations ranging from 2500 to 3400 m,and on shady,semi-shady,and semi-positive slopes.
作者
吴雨亭
章好
李强峰
WU Yuting;ZHANG Hao;LI Qiangfeng(Agriculture and Forestry Department,College of Agriculture and Animal Husbandry,Qinghai University,Xining 810016,Qinghai,China)
出处
《福建林业科技》
2022年第1期70-75,共6页
Journal of Fujian Forestry Science and Technology
基金
青海省林业与草原局(青海省云杉属树种优良种质资源分子鉴定及良种选育项目,青财预字[2020]63号)
青海省林业与草原局(2021年林业改革发展资金国家级自然保护区补助资金项目,青财资环字[2021]53号)。
关键词
青海云杉
RS
GIS
地形因子
空间分布
Picea crassifolia Mast
RS
GIS
topographic factors
spatial distribution