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Advances in Earth Science  2009, Vol. 24 Issue (7): 734-740    DOI: 10.11867/j.issn.1001-8166.2009.07.0734
Articles     
Carbon and water fluxes of cornfield simulated with LPJ model
Wang Xufeng, Ma Mingguo
Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China
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Abstract  

The Lund-Potsdam-Jena Dynamic Global Vegetation Model (LPJ), as one of the Dynamic Global Vegetaion Model (DGVM), was developed by Lund University,Potsdam Climate Research Centre and Max-Planck-Institute for Biogeochemistry, Jena. The climatic parameters, soil texture and CO2 concentration data were used as the inputs to simulate carbon and water exchange process between ecosystem and environment. In order to use daily input data, the LPJ code was rewritten in Visual Basic based on the original Fortran version, which was downloaded from the website of PIK. Yingke Oasis Station is located in a corn field (100°25′E, 38°51′N, 1 519 m) and 8 km far from Zhangye City, which belongs to a typical oasis cropland ecosystem in the inland river basin of the arid regions of China. Its observation items include wind speed, air temperature and humidity (3 m & 10 m), wind direction, air pressure precipitation, four components of radiation, land surface temperature, soil temperature and moisture profile (10 cm, 20 cm, 40 cm, 80 cm, 120 cm, and 160 cm), and heat flux (5 cm & 15 cm) and Eddy Covariance. Some items of these observations were used as the inputs of LPJ model to simulate evapotranspiration (ET) and NEE of corn field in Yingke. The latent heat flux and CO2 flux data observed from Eddy Covariance system were used to validate the simulated results. The results indicate that the LPJ model can better simulate water and carbon exchange between vegetation and environment. The R square of ET simulated by LPJ and observed by Eddy Covariance in Yingke is close to 0.8. The ET was also observed by the Micro-Lysimeter, which was also closed to the LPJ simulated results. The R square of NEE simulated by LPJ and observed by Eddy Covariance can reach 0.79.

Key words:  Evapotranspiration      NEE      LPJ      Cropland ecosystem     
Received:  18 February 2009      Published:  10 July 2009
P433  
Fund: 

中国科学院西部行动计划(二期)项目“黑河流域遥感—地面观测同步试验与综合模拟平台建设”(编号:KZCX2XB20903);国家重点基础研究发展计划项目“干旱区绿洲化、荒漠化过程及其对人类活动、气候变化的响应与调控”(编号:2007CB714401);国家自然科学基金面上项目“陆地碳循环遥感与模型模拟的融合方法研究”(编号:40871190)联合资助.[ZK)]

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Cite this article: 

Wang Xufeng, Ma Mingguo. Carbon and water fluxes of cornfield simulated with LPJ model. Advances in Earth Science, 2009, 24(7): 734-740.

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http://www.adearth.ac.cn/EN/10.11867/j.issn.1001-8166.2009.07.0734     OR     http://www.adearth.ac.cn/EN/Y2009/V24/I7/734

[1] Katul G G, Leuning R, Kim J. Estimating CO2 source/sink distributions within a rice canopy using higher order closure models[J].Boundary-Layer Meteorology, 2001, 98(1):103-125.
[2] Lu Zhongming, Dai Minhan. Advances in air-sea CO2 flux study and the application of eddy covariance technique[J].Advances in Earth Science, 2006, 21(10):1 046-1 057.[鲁中明, 戴民汉. 海气CO2通量与涡动相关法应用研究进展[J]. 地球科学进展, 2006,21(10):1 046-1 057.]
[3] Potter C. Predicting climate change effects on vegetation, soil thermal dynamics, and carbon cycling in ecosystems of interior Alaska[J].Ecological Modelling,2004,175:1-24.
[4] Meir P, Cox P, Grace J. The influence of terrestrial ecosystems on climate[J].Trends in Ecology and Evolution,2006,21:254-260.
[5] Peng C H. From static biogeographical model to dynamic global vegetation model: A global perspective on modeling vegetation dynamics[J].Ecological Modelling,2000,135: 33-54.
[6] Sitch S, Smith B, Prentice I C,et al.Evaluation of ecosystem dynamic, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model[J].Global Change Biology,2003, 9:161-185.
[7] Gerten D, Schaphoff S, Haberlandt U, et al. Terrestrial vegetation and water balance-hydrological evaluation of a dynamic global vegetation model[J].Journal of Hydrology,2004, 286:249-270.
[8] Haxeltine A, Prentice I C. A general model for the light-use efficiency of primary production[J].Functional Ecology,1996, 10: 551-561.
[9] Ma M G,Veroustraete F. Interannual variability of vegetation cover in the Chinese Heihe river basin and its relation to meteorological parameters[J].International Journal of Remote Sensing,2006, 27(16): 3 473-3 486.
[10] Li Xin,Ma Mingguo, Wan Jian, et al. Simultaneous remote sensing and ground-based experiment in the Heihe river basin: Scientific objectives and experiment design[J].Advances in Earth Science,2008, 23(9): 897-914.[李新, 马明国, 王建, 等. 黑河流域遥感—地面观测同步试验: 科学目标与实验方案[J]. 地球科学进展, 2008, 23(9): 897-914.]
[11] Zobler L. A World Soil File for Global Climate Modelling[M]. NASA Technical Memorandum 87802, Washington DC,1986:32.
[12] Wang Jian, Cai Huanjie, Chen Feng,et al.Experimental study on evapotranspiration and soil evaporation in summer maize field[J].Journal of Hydraulic Engineering,2004,11:108-113.[王健,蔡焕杰,陈凤,等.夏玉米田蒸发蒸腾量与棵间蒸发的试验研究[J].水利学报,2004,11:108-113.]
[13] Sun Jingsheng, Kang Shaozhong, Wang Jinglei,et al.Experiment on soil evaporation of summer maize under furrow irrigation condition[J].Transactions of the Chinese Society of Agricultural Engineering,2005, 21(11): 20-24.[孙景生,康绍忠,王景雷,等. 沟灌夏玉米棵间土壤蒸发规律的试验研究[J]. 农业工程学报, 2005, 21(11):20-24.][14] Wang Jiemin, Wang Weizhen, Ao Yinhuan,et al.Turbulence flux measurements under complicated conditions[J].Advances in Earth Science,2007, 22(8): 791-797.[王介民,王维真,奥银焕,等.复杂条件下湍流通量的观测与分析[J].地球科学进展,2007,22(8): 791-797.]

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