张志明, 王文礼, 欧晓昆, 吴伟强. 梅里雪山植被空间格局与环境因子关系分析[J]. 云南大学学报(自然科学版), 2009, 31(3): 311-315, .
引用本文: 张志明, 王文礼, 欧晓昆, 吴伟强. 梅里雪山植被空间格局与环境因子关系分析[J]. 云南大学学报(自然科学版), 2009, 31(3): 311-315, .
ZHANG Zhi-ming, WANG Wen-li, OU Xiao-kun, WU Wei-qiang. The correlation between vegetation spatial pattern and environmental factors[J]. Journal of Yunnan University: Natural Sciences Edition, 2009, 31(3): 311-315, .
Citation: ZHANG Zhi-ming, WANG Wen-li, OU Xiao-kun, WU Wei-qiang. The correlation between vegetation spatial pattern and environmental factors[J]. Journal of Yunnan University: Natural Sciences Edition, 2009, 31(3): 311-315, .

梅里雪山植被空间格局与环境因子关系分析

The correlation between vegetation spatial pattern and environmental factors

  • 摘要: 基于GIS和遥感技术,从空间尺度上探讨了梅里雪山地区植被空间分布格局与非地带性的环境因子如地型因子等的相关性.首先,在GIS的帮助下提取研究区的植被图,运用DEM以及TM影像产生6个反映梅里雪山地区森林群落生境特征的环境因子(海拔、坡度、坡向、地型湿度指数、林冠郁闭度、温度),并将矢量格式的植被图斑赋予上述各个环境因子属性,并建立植被空间数据库.最后采用CCA排序方法定量分析不同环境因子与梅里雪山植被空间格局的关系.CCA排序结果表明:①影响梅里雪山地区植被空间分布格局的主要环境因子是地型湿度指数、海拔、林冠郁闭度和温度,其中海拔是植被格局的首要控制因子;②海拔与温度和地型湿度指数呈显著负相关,而海拔与坡向之间的相关性极小;③在梅里雪山地区由DEM产生地型湿度指数不能真实的反映该区域地表水分分布的真实状况,因为该区域的气候尤其是降雨受西南季风和地型垂直气候以及焚风效应的综合影响.

     

    Abstract: In mountainous areas,the vegetation spatial patterns are strongly affected by topography and other environmental factors.The objective is to reveal the relationship between environmental factors and vegetation spatial pattern in the Meili Snow Mountain which is a typical steep mountain area.GIS and RS were used to develop a database of the vegetation spatial distribution data including varied environmental factors.CCA was used to analyze the correlation between the vegetation spatial distribution pattern and environmental factors,such as elevation,slope,aspect,index of moisture,canopy index,and temperature.The results showed that elevation,canopy index,index of moisture,temperature,and aspect are the main factors which affected the distribution spatial pattern of the vegetation in Meili Snow Mountain.Elevation showed a remarkable negative relevant relation with the index of moisture and temperature,but had little correlation with aspect.The results also indicated that the index of moisture derived from DEM data could not represent the surface moisture distribution pattern of this area,because the local climate especially the precipitation is strongly affected by the topography,the southwest monsoon and Fohn wind.

     

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