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山西省植被景观连接性研究
引用本文:王晓霞,张钦弟,毕润成,白玉芳.山西省植被景观连接性研究[J].山西师范大学学报,2014(1):74-79.
作者姓名:王晓霞  张钦弟  毕润成  白玉芳
作者单位:山西师范大学生命科学学院,山西临汾041004
基金项目:山西省化学洗势重点学科建设项目(912019);山西师范大学校科学研究基金项目(ZR1218)项目和山西师范大学生命科学学院研究基金项目(SMYKZ-19).
摘    要:以植被地图为数据源,在样带划分的基础上,采用种毗连法与种小区法对山西省植被中针叶林、阔叶林、灌丛、草原、草丛、草甸、栽培植被7种主要的景观要素之间的连接关系进行了研究,两种方法的分析结果较为一致地显示:7种景观要素中以栽培植被格局规模最大,且连接趋势呈现为针叶林与灌丛、栽培植被与草原和草丛显著正相关连接,针叶林与栽培植被、草丛与阔叶林和草原显著负相关连接,而其他景观要素之间连接关系不显著.分析结果与山西植被的实际分布格局也较为吻合,同时也反映了种毗连法、种小区法可作为基于植被地图研究景观连接的两种有效方法加以应用.

关 键 词:景观格局  景观要素  种毗连法  种小区法

The Study of Landscape Association in Shanxi Vegetation
WANG Xiao-xia,ZHANG Qin-di,BI Run-cheng,BAI Yu-Fang.The Study of Landscape Association in Shanxi Vegetation[J].Journal of Shanxi Teachers University,2014(1):74-79.
Authors:WANG Xiao-xia  ZHANG Qin-di  BI Run-cheng  BAI Yu-Fang
Institution:( School of Life Science, Shanxi Normal University, Linfen 041004, Shanxi, China)
Abstract:In this paper, using the vegetation map as the data source, and based on the sampling transect, the association relationships among the seven landscape elements such as coniferous forest, broad-leaved forest, shrub, grassland , underbrush, meadow and cultural vegetation in Shanxi were studied. The analysis results of two methods were consistent and as follows: There is a significant positive correlation between coniferous forest and shrub, cultural vegetation with grassland and under brush. The significant negative correlation occurred between coniferous forest with cultural vegetation, underbrush with broad-leaved forest and grassland. Howerer, association among other landscape elements is insignificant. Concerning the pattern scale,the cuhural vegetation is the biggest among the seven landscape elements. Above the results are coincidence with the actual distribution pattern of Shanxi vegetation, and it also revealed that the species-juxtaposition and species-region can be used in research about landscape associations on the basis of the vegetation map.
Keywords:landscape pattern  landscape element  species-juxtaposition  species-region
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