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FOREST RESOURCES WANAGEMENT ›› 2012, Vol. 0 ›› Issue (5): 111-118.

• Science and Technology • Previous Articles     Next Articles

Study on Quantitative Classification for Forestry Development Division of Ceheng County,Guizhou Province

ZHAO Hua1,2, LIU Yong2, LIU Longde1, SUN Jihui1, GU Yongshun1   

  1. 1. Institute of Forest Inventory and Planning of Guizhou Province,Guiyang 550003;
    2. Key Laboratory for Silviculture and Conservation of Ministry of Education,Beijing Forestry University,Beijing 100083,China
  • Received:2012-06-08 Revised:2012-08-19 Online:2012-10-28 Published:2020-11-27

Abstract: In order to define regional forest functions and key forestry construction project,and to form special local spatial pattern of modern forestry development and ecological service system,this paper uses the indexes which reflect regional conditions of nature,social economic conditions,ecological environment and forest and the forestry development divisions of Ceheng County were made by using the method of quantitative classification,which includes Factoral Analysis(FA)and Hierarchical Cluster(HC).Results showed that the quantitative classification methods of forestry development division are based on the normal factoral analysis model by using factoral analysis,a few of factors(load more information) and hierarchical clustering.It overcame the weakness of productivity series methods in qualitative analysis and avoided information overlapping among various factors;By factoral analysis of 30 indexes that affected township forestry development division in Ceheng County,the normal factoral analysis model was built,the front 6 factors reflected 89.95% information of 14 townships' forestry development situations in Ceheng County. Through quantitative classification methods 14 townships in Ceheng County were classified into 5 major functional areas. Quantitative classification methods not only provided a reference for the forestry development division at county level,but also provided an example in forestry division or other related division and planning and enriched the theory of forestry development division as well.

Key words: forestry development division, factoral analysis, hierarchical clustering, Guizhou Ceheng

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