A Geographic Information Systems approach for classifying and mapping forest management category in Baihe Forestry Bureau, Northeast China

Shun-zhong Wang , Guo-fan Shao , Hui-yan Gu , Qing-li Wang , Li-min Dai

Journal of Forestry Research ›› 2006, Vol. 17 ›› Issue (3) : 211 -215.

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Journal of Forestry Research ›› 2006, Vol. 17 ›› Issue (3) : 211 -215. DOI: 10.1007/s11676-006-0049-6
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A Geographic Information Systems approach for classifying and mapping forest management category in Baihe Forestry Bureau, Northeast China

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Abstract

This paper demonstrates a Geographic Information Systems (GIS) procedure of classifying and mapping forest management category in Baihe Forestry Burea, Jilin Province, China. Within the study area, Baihe Forestry Bureau land was classified into a two-hierarchy system. The top-level class included the non-forest and forest. Over 96% of land area is forest in the study area, which was further divided into key ecological service forest (KES), general ecological service forest (GES), and commodity forest (COM). COM covered 45.0% of the total land area and was the major forest management type in Baihe Forest Bureau. KES and GES accounted for 21.2% and 29.9% of the total land area, respectively. The forest management zones designed with GIS in this study were then compared with the forest management zones established using the hand draw by the local agency. There were obvious differences between the two products. It suggested that the differences had some to do with the data sources, basic unit and mapping procedures. It also suggested that the GIS method was a useful tool in integrating forest inventory data and other data for classifying and mapping forest zones to meet the needs of the classified forest management system.

Keywords

Classified forest management / Key ecological service forest / GIS / Baihe Forestry Bureau

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Shun-zhong Wang,Guo-fan Shao,Hui-yan Gu,Qing-li Wang,Li-min Dai. A Geographic Information Systems approach for classifying and mapping forest management category in Baihe Forestry Bureau, Northeast China. Journal of Forestry Research, 2006, 17(3): 211-215 DOI:10.1007/s11676-006-0049-6

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