Acta Geographica Sinica ›› 2016, Vol. 71 ›› Issue (11): 1998-2009.doi: 10.11821/dlxb201611010

• Geomorphology • Previous Articles     Next Articles

Spatial pattern of the caves in Guizhou Province andtheir the influencing factors

Shaoyun ZHANG1,2(), Zhongfa ZHOU1,2(), Kangning XIONG1,3, Zhonghui TIAN1,2, Quan CHEN1,2, Lihui YAN1,3, Yating XIE1,2   

  1. 1. School of Karst Science, Guizhou Normal University, Guiyang, Guizhou 550001, China
    2. The State Key Laboratory Incubation Base for Karst Mountain Ecology Environment of Guizhou Province, Guiyang 550001, China
    3. State Engineering Technology Institute for Karst Desertification Control, Guiyang, Guizhou 550001, China
  • Received:2016-08-01 Revised:2016-11-09 Online:2016-11-25 Published:2016-11-29
  • Supported by:
    National Natural Science Foundation, No.41361081;Guizhou Science and Technology Plan, No.[2014]4004-2;Guizhou Major Application of Basic Research Project, No.[2014]200201


Based on the hydrogeological and topographic map of Guizhou Province, ArcGIS was used to extract the information of nearly 5000 caves in the province, including the altitude, latitude and longitude, the strata, lithology, water system, and structure division. The nearest neighbor index, spatial analysis and coupling analysis methods were used to examine the distribution of 4960 caves in Guizhou Province. The relationship between cave spatial pattern and geographical elements was discussed. Through the point pattern analysis of the caves, it is found that the nearest neighbor index is 0.53, and the variation coefficient is 72.469% tested by Thiessen polygons, which is consistent with the model of aggregate distribution. Through the dot density function method, all the caves were divided into 4 clusters, namely, Zunyi-Tongren strong influence area, Bijie strong influence area, Liupanshui-Qianxinan strong influence area, and Guiyang-Anshun-Qiannan strong influence area, and one weak influence area (Qiandongnan weak influence area). Among them, Anshun-Qiannan-Guiyang strong influence area is the most important area, accounting for 36.63% of the total number of the caves, and 24.67% of the total area of the province. The caves in Guizhou are concentrated in the west and sparsely distributed in the east, shwoing clear "flake"-shaped pattern. Results indicated that the natural factors such as strata, lithology, structure, climate, hydrology, and elevation mainly affect the distribution, quantity, spatial pattern and development of the caves.

Key words: karst cave, geographic information system, spatial pattern, influencing factors, Guizhou