DocumentCode :
3021217
Title :
Spatial and temporal variation of biomass carbon stocks in Xilingol grassland
Author :
Hasituya ; Yuhai Bao ; Lai Quan ; Bao Gang
Author_Institution :
Inner Mongolia Key Lab. of Remote Sensing & Geographic Inf. Syst., Hohhot, China
fYear :
2013
fDate :
20-22 Dec. 2013
Firstpage :
719
Lastpage :
723
Abstract :
Study on the spatial pattern of grassland carbon stock has a very important significance on the global carbon cycle and global warming. There exist an obvious spatial differences in the distribution of grassland biomass carbon stock that influenced by the zonal natural factors such as precipitation, air temperature, solar radiation and topography. In this paper, we analyzed the spatial pattern of carbon stocks in Xilingol grassland ecosystem by employing the CASA model and plants withered loss model. The results indicate that biomass carbon stock in Xilingol grassland gradually reduced from east to west, i.e. the largest carbon stock was distributed in northeast area, particularly in the Wujomqin banner. The relative high value was distributed in the middle parts of the study area, and the lowest is located in the western regions. Specifically, the spatial pattern of grassland biomass carbon stock in Xilingol was characterized by high-medium-high-medium-low distribution from northeast to southwest. It was directly related to the distribution of climate factors, vegetation types and soil types. There also exist the large regional differences in spatial distribution changes from 2002 to 2009, with some variability. In the west, grassland biomass carbon stock experienced increasing trend, and gradually reduced in the east of Xilingol from 2002 to 2009.
Keywords :
atmospheric composition; atmospheric precipitation; atmospheric temperature; carbon; ecology; global warming; soil; solar radiation; topography (Earth); vegetation; AD 2002 to 2009; CASA model; Wujomqin banner; Xilingol grassland ecosystem; air temperature; biomass carbon stock spatial variation; biomass carbon stock temporal variation; carbon stock spatial pattern; climate factor distribution; global carbon cycle; global warming; grassland biomass carbon stock distribution; grassland biomass carbon stock spatial difference; grassland biomass carbon stock spatial pattern; grassland carbon stock spatial pattern; high-medium-high-medium-low distribution; largest carbon stock; northeast area; plant withered loss model; precipitation; relative high value; soil type; solar radiation; spatial distribution change large regional difference; topography; vegetation type; zonal natural factor; Biological system modeling; Biomass; Carbon; Ecosystems; Meteorology; Productivity; Vegetation; Xilingol grassland; biomass carbon stock; temporal-spatial distribution analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
Type :
conf
DOI :
10.1109/MEC.2013.6885156
Filename :
6885156
Link To Document :
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