普定县岩溶洼地的景观格局分析(英文)  被引量:2

LANDSCAPE PATTERN OF KARST DEPRESSION IN PUDING COUNTY,CHINA

在线阅读下载全文

作  者:张盼盼[1,2] 胡远满[1] 殷洁[1] 

机构地区:[1]中国科学院沈阳应用生态研究所,辽宁沈阳110016 [2]国家林业局昆明勘察设计院,云南昆明650216

出  处:《长江流域资源与环境》2011年第2期185-190,共6页Resources and Environment in the Yangtze Basin

基  金:the National Basic Research Program of China,Profile of 973 Program(2006CB403201)~~

摘  要:岩溶洼地是我国西南地区典型的岩溶地貌类型之一,是国家进行环境治理和扶贫的重点区域。采用GIS与景观格局指数分析相结合的方法,对贵州省普定县岩溶洼地景观空间格局进行研究。依据各洼地斑块的面积大小,将洼地分成大型、中型和小型洼地3类。选取斑块数、斑块密度、面积周长分维数、平均临近指数、蔓延度指数、连接度指数、聚集度指数、散布与并列指数、Shannon多样性指数等9类景观格局指数,从整体景观水平和斑块类型水平这两个方面对岩溶洼地景观格局进行了分析。研究结果表明:普定县的洼地集中分布在南部和西北部;从总体景观水平上来看,景观受干扰的程度较大,结构比较复杂,类型比较丰富,异质性较强,整体景观分布较为离散,但各景观类型分布较为聚集;从斑块类型水平上来看,洼地景观类型相比非洼地景观类型、小型洼地景观类型相比大型洼地景观类型均呈现出斑块数多、破碎化程度高、聚集度略低、受自然条件制约程度高的特点。Karst depression is one of the typical types of karst landform in Southwestern China.Karst depression zones are key regions of national environmental management and poverty alleviation.Combining GIS and the method of landscape metrics,the landscape pattern of karst depression in Puding County,Guizhou Province was analyzed.According to the patch size,karst depressions were divided into three types:large depression,moderate depression and small depression.Nine types of landscape metrics from landscape level and class level were computed using FRAGSTATS 3.3 software.They were NP,PD,PAFRAC,MPI,CONTAG,CONNECT,AI,IJI and SHDI.The results showed that karst depressions in Puding were mainly distributed at South and Northwest part.And the whole landscape had high disturbance degree,complex structure,high heterogeneity and scattering distribution.However,each class had showed clumped distribution.Class level analysis showed that depression class had more patches,and was more fragmented,less agminate and more restricted with natural conditions than non-depression class.The comparative analysis on small depression class and large depression class had the same tendency as depression class and non-depression.

关 键 词:岩溶洼地 景观格局 景观指数 普定县 

分 类 号:P642.25[天文地球—工程地质学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象