IGSNRR OpenIR
spatialtemporalvariationinsoilrespirationanditscontrollingfactorsinthreesteppesofstipalininnermongoliachina
Qi Yuchun1; Dong Yunshe1; Liu Lixin2; Liu Xingren1; Peng Qin1; Xiao Shengsheng1; He Yating1
2010
Source Publicationsciencechinaearthsciences
ISSN1674-7313
Volume53Issue:5Pages:683
AbstractGrassland is the largest terrestrial ecosystem in China. It is of great significance to measure accurately the soil respiration of different grassland types for the contribution evaluation of the Chinese terrestrial ecosystem's carbon emission to the atmospheric CO_2 concentration. A three-year (2005-2007) field experiment was carried out on three steppes of Stipa L. in the Xilin River Basin, Inner Mongolia, China, using a static opaque chamber technique. The seasonal and interannual variations of soil respiration rates were analyzed, and the annual total soil respiration of the three steppes was estimated. The numerical models between soil respiration and water-heat factors were established respectively. Similar seasonal dynamic and high annual and interannual variations of soil respiration were found in all of the three steppes. In the growing season, the fluctuation of soil respiration was particularly evident. The coefficients of variation (CVs) for soil respiration in different growing seasons ranged from 54% to 93%, and the annual CVs were all above 115%. The interannual CV of soil respiration progressively decreased in the order of Stipa grandis (S. grandis) steppe > Stipa baicalensis (S. baicalensis) steppe > Stipa krylovii (S. krylovii) steppe. The annual total soil respiration for the S. baicalensis steppe was 223.62-299.24 gC m~(-2) a~(-1), 150.62-226.99 gC m~(-2) a~(-1) for the S. grandis steppe, and 111.31-131.55 gC m~(-2) a~(-1) for the S. krylovii steppe, which were consistent with the precipitation gradient. The variation in the best fitting temperature factor explained the 63.5%, 73.0%, and 73.2% change in soil respiration in the three steppes at an annual time scale, and the corresponding Q_(10) values were 2.16, 2.98, and 2.40, respectively. Moreover, the Q_(10) values that were calculated by soil temperature at different depths all expressed a 10 cm > 5 cm > surface in the three sampling sites. In the growing season, the soil respiration rates were related mostly to the surface soil moisture, and the 95.2%, 97.4%, and 93.2% variations in soil respiration in the three steppes were explained by the change in soil moisture at a depth of 0-10 cm, respectively
Language英语
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/112336
Collection中国科学院地理科学与资源研究所
Affiliation1.中国科学院地理科学与资源研究所
2.Chinese Academy of Meteorological Sciences
First Author Affilication中国科学院地理科学与资源研究所
Recommended Citation
GB/T 7714
Qi Yuchun,Dong Yunshe,Liu Lixin,et al. spatialtemporalvariationinsoilrespirationanditscontrollingfactorsinthreesteppesofstipalininnermongoliachina[J]. sciencechinaearthsciences,2010,53(5):683.
APA Qi Yuchun.,Dong Yunshe.,Liu Lixin.,Liu Xingren.,Peng Qin.,...&He Yating.(2010).spatialtemporalvariationinsoilrespirationanditscontrollingfactorsinthreesteppesofstipalininnermongoliachina.sciencechinaearthsciences,53(5),683.
MLA Qi Yuchun,et al."spatialtemporalvariationinsoilrespirationanditscontrollingfactorsinthreesteppesofstipalininnermongoliachina".sciencechinaearthsciences 53.5(2010):683.
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