DocumentCode :
3132943
Title :
The Distribution of Main Coniferous Resource in Beijing Non-Commercial Forest
Author :
Zhiwen, Gong ; Li, Gu ; Xingang, Kang ; Hua, Yang
Author_Institution :
Key Lab. for Silviculture & Conservation of Minist. of Educ., Beijing Forestry Univ., Beijing, China
fYear :
2011
fDate :
8-9 Oct. 2011
Firstpage :
401
Lastpage :
404
Abstract :
Chinese pine, Oriental Arborvitae and North China Larch are common conifer species, they are widely distributed, and becoming an important category forest resources in Beijing. This paper through the data collection, has made the preliminary statistics to the distribution of main Coniferous forest in Beijing, finally discovered that the whole city altogether has coniferous forest 176784.1354 ha, and Oriental Arborvitae is 87528.1587 ha, Chinese Pine is 79345.5380 ha, North China Larch is 9910.4387 ha, Altogether the accumulation of coniferous forest is 3015127.4 m3, and Oriental Arborvitae is 685071.3m3, Chinese Pine is 1935894.2 m3, North China Larch is 394161.9 m3. They mainly distributes in Miyun, Yanqing and so on 8 counties. Miyun, Yanqing, Huairou, Fang shan, Mentougou, Changping, the Pinggu and Haidian counties are the main distribution areas in Beijing, and the distribution of other country are very few. The stand structure of Beijing conifer forest is illogicality, too much plantation forest in area, but little in natural forest, and the strong density make the forest self-thinning.
Keywords :
vegetation; vegetation mapping; Beijing; Changping county; Chinese pine; Fangshan county; Haidian county; Huairou county; Mentougou county; Miyun county; North China; Pinggu county; Yanqing county; coniferous forest; data collection; forest self-thinning; main coniferous resource; natural forest; noncommercial forest; oriental arborvitae; Educational institutions; Forestry; Publishing; Resource management; Soil; Vegetation; Water conservation; Chinese pine; North China Larch; Oriental Arborvitae; resource distribution; stand characteristics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4577-1788-8
Type :
conf
DOI :
10.1109/KAM.2011.111
Filename :
6137666
Link To Document :
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