Regional-scale identification of three-dimensional pattern of vegetation landscapes
Sun Ranhao ; Zhang Baiping ; Chen Liding
刊名CHINESE GEOGRAPHICAL SCIENCE
2014
卷号24期号:1页码:104-112
关键词landscape pattern vegetation pattern altitudinal zone landscape identification mountain landscape
ISSN号1002-0063
中文摘要The altitudinal pattern of vegetation is usually identified by field surveys, however, these can only provide discrete data on a local mountain. Few studies identifying and analyzing the altitudinal vegetation pattern on a regional scale are available. This study selected central Inner Mongolia as the study area, presented a method for extracting vegetation patterns in altitudinal and horizontal directions. The data included a vegetation map at a 1:1 000 000 scale and a digital elevation model at a 1:250 000 scale. The three-dimensional vegetation pattern indicated the distribution probability for each vegetation type and the transition zones between different vegetation landscapes. From low to high elevations, there were five vegetation types in the southern mountain flanks, including the montane steppe, broad-leaved forest, coniferous mixed forest, montane dwarf-scrub and sub-alpine shrub-meadow. Correspondingly, only four vegetation types were found in the northern flanks, except for the montane steppe. This study could provide a general model for understanding the complexity and diversity of mountain environment and landscape.
WOS记录号WOS:000329614100011
公开日期2015-03-23
内容类型期刊论文
源URL[http://ir.rcees.ac.cn/handle/311016/9215]  
专题生态环境研究中心_城市与区域生态国家重点实验室
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GB/T 7714
Sun Ranhao,Zhang Baiping,Chen Liding. Regional-scale identification of three-dimensional pattern of vegetation landscapes[J]. CHINESE GEOGRAPHICAL SCIENCE,2014,24(1):104-112.
APA Sun Ranhao,Zhang Baiping,&Chen Liding.(2014).Regional-scale identification of three-dimensional pattern of vegetation landscapes.CHINESE GEOGRAPHICAL SCIENCE,24(1),104-112.
MLA Sun Ranhao,et al."Regional-scale identification of three-dimensional pattern of vegetation landscapes".CHINESE GEOGRAPHICAL SCIENCE 24.1(2014):104-112.
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