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.

PDF
Journal of Forestry Research ›› 2006, Vol. 17 ›› Issue (3) : 211 -215. DOI: 10.1007/s11676-006-0049-6
Article

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

Author information +
History +
PDF

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

Cite this article

Download citation ▾
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

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Costanza R., d’Arge R., de Groot R. et al. The value of ecosystem service and natural capital in the world [J]. Nature, 1997, 387(15): 235-260.

[2]

Dai L., Shao G.F., Xiao B. Ecological classification for mountain forest sustainability in northeast China [J]. The Forestry Chronicle, 2003, 79(2): 233-236.

[3]

ECOMAP. National Hierarchical Framework of Ecological Units [M], 1993 Washington, D.C.: ECOMAP, USDA Forest Service

[4]

Durst P.B., Waggener T.R., Enters T. et al. Forests out of bounds: impacts and effectiveness of logging bans in natural forests in Asia-Pacific [R], 2001 Bangkok: Food and Agricultural Office of the United Nations (FAO)

[5]

Hong J., Cai T. Forest classification management compartmentalizing based on GIS [J]. Journal of Northeast Forestry University, 2002, 30(4): 14-18.

[6]

Ian R.N., Rodolfo D. Forests as Human-Dominated Ecosystems [J]. Science, 1997, 277: 522-525.

[7]

Lamas T., Fries C. Emergence of a biodiversity concept in Swedish forest policy [J]. Water, Air, & Soil Pollution, 1995, 82(1–2): 57-66.

[8]

Larsen H.O., Olsen C.S., Boon T.E. The non-timber forest policy process in Nepal: actors, objectives and power [J]. Forest Policy and Economics, 2000, 1(3): 267-281.

[9]

Liang X., Yan W., Wang Y. et al. Categorized management of forest (the 1st edition) [M], 2001 Beijing: China forestry publishing house 31-33.

[10]

Mark B., John N., Fred L.B. Creating land allocation zones for forest management: a simulated annealing approach [J]. Canadian Journal of Forest Research., 2004, 34: 1669-1682.

[11]

Nobel I.R. A model of the responses of ecotones to climate change [J]. Ecological Applications, 1993, 3: 385-395.

[12]

Ouyang Z., Wang X., Miao H. A primary study on Chinese terrestrial ecosystem services and their ecological-economic values [J]. Acta Ecologica Sinica, 1999, 19(5): 607-613.

[13]

Ozanne C.M.P., Anhuf D., Boulter S.L. et al. Biodiversity Meets the Atmosphere: A Global View of Forest Canopies [J]. Science, 2003, 301: 183-186.

[14]

Shao G.F., Parker G.R., Zhalnin A.V. et al. GIS Protocols in Mapping Ecological Landtypes for the Hoosier National Forest [J]. Northern Journal of Applied Forestry, 2004, 21(4): 180-186.

[15]

Shao G.F., Zhao G., Zhao S. et al. Forest cover types derived from Landsat thematic mapper imagery for Changbai Mountain area of China [J]. Canadian Journal of Forest Research, 1996, 26(2): 1654-1659.

[16]

Silviro F.B.F., Carlos A.V., David M.T. et al. Landscape dynamics of Amazonian deforestation between 1984 and 2002 in central Rondonia, Brazil: assessment and future scenarios [J]. Forest Ecology and Management, 2005, 204(1): 67-83.

[17]

Tang G., Zhao M., Li T. et al. Simulation on slope uncertainty derived from DEMs at different resolution levels: a case study in the Loess Plateau. [J]. Journal of Geographical Science, 2003, 13(4): 387-394.

[18]

Wang C., Sun Y., Du X. et al. Discussion on the establishment of classification management system for Daxing’anling forest region [J]. Journal of Northeast Forestry University, 2000, 28(2): 47-48.

[19]

Wang Q., Feng Z., Luo J. Ecotones and ecological flows [J]. Chinese Journal of Ecology, 1997, 16(6): 51-58.

[20]

Xu M., Qi Y., Gong P. et al. China’s New Forest Policy [J]. Science, 2000, 289: 2049-2050.

[21]

Zhang P., Shao G.F., Zhao G. et al. China’s Forest Policy for the 21st Century [J]. Science, 2000, 288: 2135-2136.

[22]

Zhou S. Historical transitions in China’s forestry (the 1st edition) [M], 2002 Beijing: China Forestry Publishing House 173-221.

AI Summary AI Mindmap
PDF

142

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/