Studies On Quantitative Classification Of Forestry Development Division In Guizhou Province

Division of forestry development is very important for sustainable forestry development in a region. In order to define regional forest function and key forestry construction project, and to form special local spatial pattern of modern forestry development and ecological service system in Guizhou Province, this paper compared the two partition methods of forest land productivity series and quantitative classification(Factoral Analysis and Hierarchical Clustering) of forestry development division. Depending on regional conditions of nature, social economic, ecological environment and forest, the forestry development divisions of Guizhou Province were divided by method of quantitative classification on the third level (Guizhou Province), fourth level (Dushan County and Ceheng County), firth level (Tuchang Township of Dushan County, and Qiaoma Township of Ceheng County). The results are showed as the following.1) The quantitative classification methods of forestry development division, that based on the normal factoral analysis model by factoral analysis, using a fewer of factors, which are eflected more information, to be hierarchical clustered, were more scientific and rational than methods of productivity series. It overcame the weaknesses of productivity series methods in qualitative analysis and avoided information overlapping among various factors. Quantitative classification methods could systematically and objectively reflect the real status of partitioning area.2) By factoral analysis of 25 factors affected third level of forestry development division in Guizhou, the normal factoral analysis model was built, the front 8 factors are reflected 88.27%information of 88 counties'(cities', districts') forestry development situations in Guizhou Province. The 15 major functional areas were divided on the third level of forestry development division in Guizhou Province for 88 counties (cities, districts). It not only provided a reference in quantitative classification for the third level of forestry development division, but also provided an example in forestry division or other related divisions and plannings in Guizhou Province.3) By factoral analysis of 30 factors affected fourth level of forestry development division in Dushan County and Ceheng County, the normal factoral analysis model was built, the front 6 factors are reflected 86.45%and 89.95%information of 18 and 14 townships'forestry development situations in Dushan County and Ceheng County, respectively. Through quantitative classification methods 18 townships in Dushan County and 14 townships in Ceheng County were divided into 5 major functional areas, respectively,.4) By factoral analysis of 30 factors affected fifth level of forestry development division in Tuchang Township of Dushan County and Qiaoma Township of Ceheng County, the normal factoral analysis model was established, the front 5 factors reflected 88.76%and 89.66%information of 12 and 13 villages'forestry development situations in Tuchang Township of Dushan County and Qiaoma Township of Ceheng County, respectively. Through quantitative classification methods 12 villages in Tuchang Township of Dushan County and 13 villages in Qiaoma Township of Ceheng County were divided into 4 and 5 major functional areas, respectively,.5) With third, fourth, and fifth level partition of forestry development division, the system of forestry development division in Guizhou Province were completed.. The theory of forestry development division were enriched by factoral analysis of many factors affected forestry development dividion, building the normal factoral analysis model, using fewer factors, whicn are reflected more information, through hierarchical clustering methods.