基于VIP模型对内蒙古草原蒸散季节和年际变化的模拟

doi:10.3773/j.issn.1005-264x.2008.05.010

植物生态学报 ›› 2008, Vol. 32 ›› Issue (5): 1052-1060.DOI: 10.3773/j.issn.1005-264x.2008.05.010

所属专题：生态系统碳水能量通量

基于VIP模型对内蒙古草原蒸散季节和年际变化的模拟

王永芬¹, 莫兴国³, 郝彦宾¹, 郭瑞萍³, 黄祥忠¹, 王艳芬¹^,²^,^*()

1 中国科学院研究生院生命科学学院,北京 100049
2 中国科学院研究生院资源与环境学院,北京 100049
3 中国科学院地理科学与资源研究所生态网络观测与模拟重点实验室,北京 100101

收稿日期:2007-11-26 接受日期:2008-02-25 出版日期:2008-11-26 发布日期:2008-09-30
通讯作者: 王艳芬
作者简介:*(yfwang@gucas.ac.cn)
基金资助:
国家自然科学基金(30700079);国家自然科学基金(40671033)

SIMULATING SEASONAL AND INTERANNUAL VARIATIONS OF ECOSYS- TEM EVAPOTRANSPIRATION AND ITS COMPONENTS IN INNER MONG- OLIA STEPPE WITH VIP MODEL

WANG Yong-Fen¹, MO Xing-Guo³, HAO Yan-Bin¹, GUO Rui-Ping³, HUANG Xiang-Zhong¹, WANG Yan-Fen¹^,²^,^*()

¹College of Life Science, Graduate University of Chinese Academy of Sciences, Beijing 100049, China
²College of Resources and Environment, Graduate University of Chinese Academy of Sciences, Beijing 100049, China
³Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

Received:2007-11-26 Accepted:2008-02-25 Online:2008-11-26 Published:2008-09-30
Contact: WANG Yan-Fen

摘要/Abstract

摘要：

利用内蒙古羊草草原(Leymus chinensis)生态系统通量观测站的气象数据、野外实测和MODIS叶面积指数(Leaf area index, LAI), 应用基于生态系统过程的VIP(Vegetation interface process)模型, 以半小时为步长, 模拟分析了羊草草原生态系统2003~2005年(分别为平水年、平水年和干旱年)蒸散及其分量的变化过程。通过与通量数据对比, VIP模型能够很好地模拟羊草草原生态系统的蒸散过程(R²= 0.80), 在峰值大小和变化趋势上, 模拟值与实测值有较好的一致性。模拟结果显示: 3年蒸散量分别为337、338和223 mm; 在降水相对充沛的2003和2004年, 蒸腾量为192和171 mm, 而降水相对较少的2005年, 蒸腾量仅为96 mm; 年平均蒸腾和蒸发对蒸散的贡献基本持平; 生长季蒸散占全年的83%, 6月开始, 蒸腾大于蒸发, 蒸散和蒸腾的月总值均在7、8月达到最大值,两月蒸散占全年的43%。LAI是影响蒸散的主要因素, 其次是降水, 而净辐射对蒸散的影响较小。在生长季, 蒸发的季节变化平缓, 蒸散的差异主要体现在蒸腾的差异。

关键词: 羊草草原, VIP模型, 蒸散, 降水, 冠层导度

Abstract:

Aims Evapotranspiration (ET) plays an important role in arid and semiarid temperate grassland where water availability is a major limiting factor for ecosystem functions. Understanding temporal variation of ET can help explain the surface-atmosphere interaction and its ecological function in grassland ecosystems. Partitioning total ET into its components of evaporation from soil (E) and transpiration from plants (T) is important for understanding the biotic and abiotic factors that control water balance. Our objectives were to simulate the seasonal and interannual variations of ET and its components, analyze the contribution of the components to ETand analyze influencing factors.

Methods We used flux data derived from eddy covariance technology over Inner Mongolia steppe (43°32′ N, 116°40′ E), measuredLAIand MODIS data from 2003 to 2005 and parameterized VIP (Vegetation interface processes) model to simulate ET of the grassland. The results were validated using half-hourly latent heat fluxes (LE) and net radiation (R_n) estimated from eddy covariance measurements.

Important findings VIP model can effectively simulate latent heat fluxes of the grassland (R²=0.80). In 2003 and 2004, precipitation (P) was near average and annual ET was 337 and 338 mm, respectively, which were greater than P. In the drier year of 2005, annual ET was 223 mm, which was higher than P. On average, E andT made relatively equivalent contributions to ET. About 83% of annual EToccurred during the growing season. Ewas the primary component of ET before June and was exceeded by Tafter that. The monthly totals of both ET and Treached maxima in July and August. Total ETduring July and August accounted for 43% of the annual amount. ETwas strongly correlated with LAI and moderately correlated with P. E changed little during the growing season, and the difference in ET was accounted for T.

Key words: Leymus chinensis steppe, VIP model, evapotranspiration, precipitation, canopy conductance

王永芬, 莫兴国, 郝彦宾, 郭瑞萍, 黄祥忠, 王艳芬. 基于VIP模型对内蒙古草原蒸散季节和年际变化的模拟. 植物生态学报, 2008, 32(5): 1052-1060. DOI: 10.3773/j.issn.1005-264x.2008.05.010

WANG Yong-Fen, MO Xing-Guo, HAO Yan-Bin, GUO Rui-Ping, HUANG Xiang-Zhong, WANG Yan-Fen. SIMULATING SEASONAL AND INTERANNUAL VARIATIONS OF ECOSYS- TEM EVAPOTRANSPIRATION AND ITS COMPONENTS IN INNER MONG- OLIA STEPPE WITH VIP MODEL. Chinese Journal of Plant Ecology, 2008, 32(5): 1052-1060. DOI: 10.3773/j.issn.1005-264x.2008.05.010

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链接本文: https://www.plant-ecology.com/CN/10.3773/j.issn.1005-264x.2008.05.010

https://www.plant-ecology.com/CN/Y2008/V32/I5/1052

图/表 7

图1 2003~2005年潜热通量、净辐射模拟值与实测值

Fig.1 The simulated and measured latent heat flux (LE) and net radiation (Rn) from 2003 to 2005

图2 2003~2005年日蒸散量模拟值(线)与实测值(点)

Fig.2 The simulated (line) and measured (dot) daily evapotranspiration (ET ) from 2003 to 2005

图3 2003~2005年总的降水(P)、蒸散(ET)、植被蒸腾(T)和土壤蒸发(E) 蒸腾、蒸发、蒸散为模拟值, 降水为实测值 T, E and ET were simulated values, and P was measured value

Fig. 3 The annual total precipitation (P), evapotranspiration (ET), transpiration from plant (T) and evaporation from soil (E) from 2003 to 2005

图4 2003~2005年逐月降水-蒸散、蒸腾/蒸散 P、ET、T: 同图3 See Fig. 3

Fig. 4 The monthly P-ET and T/ETfrom 2003 to 2005

图5 2003~2005年生长季蒸腾、蒸发、叶面积指数的季节变化 T、E: 同图3 See Fig. 3 LAI: Leaf area index

Fig. 5 Seasonal variations of daily total T, E and LAIin the growing season from 2003 to 2005

表1 蒸散、蒸发、蒸腾与净辐射、叶面积指数、饱和水汽压差与降水的相关系数及多元线性回归方程(p<0.000 1)

Table 1 The correlation coefficients of ET, E, T and Rn, LAI, VPD, P and the multiple liner regression equations

变量 Variable	叶面积指数 LAI	饱和水汽压差 VPD	降水 P	净辐射 R_n	方程 Equation
蒸散 ET	0.970	0.800	0.916	0.826	ET= -0.930 + 1.091 LAI+ 0.042 VPD+0.046 P+ 0.002 R_n (r = 0.994)
蒸发E	0.775	0.900	0.753	0.883	E = 0.692 + 0.034 LAI + 0.037 VPD + 0.050 P+ 0.002 R_n (r = 0.942)
蒸腾T	0.992	0.696	0.924	0.740	T = -1.614 + 1.047 LAI + 0.005 VPD - 0.008 P+ 0.001 R_n (r = 0.993)

图6 2003~2005年冠层导度的季节变化

Fig.6 Seasonal variation of daily canopy conductance from 2003 to 2005

参考文献 27

[1]	Chen D (陈丹), Mo XG (莫兴国), Lin ZH (林忠辉), Liu SX (刘苏峡) (2006). Estimation of evapotranspiration over Wuding River Basin with an eco-hydrological model and MODIS data. Geographical Research (地理研究), 25,617-623. (in Chinese with English abstract)
[2]	Chen YX, Lee G, Lee P, Oikawa T (2007). Model analysis of grazing effect on above-ground biomass and above-ground net primary production of a Mongolian grassland ecosystem. Journal of Hydrology, 333,155-164.
[3]	Domingo F, Villagarcía L, Boer MM, Alados-Arboledas L, Puigdefábregas J (2001). Evaluating the long-term water balance of arid zone stream bed vegetation using evapotranspiration modeling and hillslope runoff measurements. Journal of Hydrology, 243,17-30.
[4]	Du ZC (杜占池), Yang ZG (杨宗贵), Cui XY (崔骁勇) (2001). A comparative study on leaf area index of five plant communities in typical steppe region of Inner Mongolia. Grassland of China (中国草地), 23(5),13-18. (in Chinese with English abstract)
[5]	Falge E, Baldocchi D, Olson R (2001). Gap filling strategies for long term energy flux data sets. Agricultural and Forest Meteorology, 107,71-77.
[6]	Ferretti DF, Pendall E, Morgan JA, Nelson JA, Lecain D, Mosier AR (2003). Partitioning evapotranspiration fluxes from a Colorado grassland using stable isotopes: seasonal variations and ecosystem implications of elevated atmospheric CO ₂. Plant and Soil, 254,291-303.
[7]	Gai Y (盖煜), Deng XD (邓晓东), Nan ZG (南志刚) (2004). Water balance and water use countermeasure in Inner Mongolia Steppe. Inner Mongolia Meteorology (内蒙古气象), 1,26-27, 30.
[8]	Gentine P, Entekhabi D, Chehbouni A, Boulet G, Duchemin B (2007). Analysis of evaporative fraction diurnal behaviour. Agricultural and Forest Meteorology, 143,13-29.
[9]	Gu FX (顾峰雪), Cao MK (曹明奎), Wen XF (温学发), Liu YF (刘允芬), Tao B (陶波) (2006). Comparing of the simulated and observed fluxes of water and carbon in semi-tropical needle leaf forest. Science in China Series D (中国科学D辑), 36 (Suppl.Ⅰ),224-233.
[10]	Kimura R, Fan J, Zhang XC, Takayama N, Kamichika M, Matsuoka N (2006). Evapotranspiration over the grassland field in the Liudaogou Basin of the Loess Plateau,China. Acta Oecologica, 29,45-53.
[11]	Li SG, Eugster W, Asanuma J, Kotani A, Davaa G, Oyunbaatar D, Sugita M (2006). Energy partitioning and its biophysical controls above a grazing steppe in central Mongolia. Agricultural and Forest Meteorology, 137,89-106.
[12]	Li SG, Lai CT, Lee G, Shimoda S, Yokoyama T, Higuchi A, Oikawa T (2005). Evapotranspiration from a wet temperate grassland and its sensitivity to microenvironmental variables. Hydrological Processes, 19,517-532.
[13]	Mo XG (莫兴国) (1997). A model for the relationship between canopy surface resistance and environmental factors and its application to evapotranspiration estimation. Geographical Research (地理研究), 16(2),81-88. (in Chinese with English abstract)
[14]	Mo XG (莫兴国), Lin ZH (林忠辉), Liu SX (刘苏峡) (2000). An improvement of the dual-source model based on Penman-Monteith formula. Journal of Hydraulic Engineering (水利学报), 12,6-11. (in Chinese with English abstract)
[15]	Mo XG, Liu SX, Lin ZH, Zhao WM (2004). Simulating temporal and spatial variation of evapotranspiration over Lushi basin. Journal of Hydrology, 285,125-142.
[16]	Mo XG (莫兴国), Xue L (薛玲), Lin ZH (林忠辉) (2005). Spatio-temporal distribution of crop evapotranspiration from 1981-2001 over the North China Plain. Journal of Natural Resources (自然资源学报), 20,181-187. (in Chinese with English abstract)
[17]	Nagler PL, Glenn EP, Kim H, Emmerich W, Scott RL, Huxman TE, Huete AR (2007). Relationship between evapotranspiration and precipitation pulses in a semiarid rangeland estimated by moisture flux towers and MODIS vegetation indices. Journal of Arid Environments, 70,443-462.
[18]	Niu HS (牛海山), Xu R (旭日), Song BY (宋炳煜) (2000). Water use dynamic of Leymus chinensis population. Acta Agrestia Sinica (草地学报), 8,226-232. (in Chinese with English abstract)
[19]	Nouvellon Y, Rambal S, Seen DL, Moran MS, Lhomme JP, Bégué A, Chehbouni AG, KerrY (2000). Modelling of daily fluxes of water and carbon from shortgrass steppes. Agricultural and Forest Meteorology, 100,137-153.
[20]	Pan LL (潘林林), Chen JY (陈家宜), Zhang HS (张宏升), Zhang AC (张霭琛) (1996). A One-dimensional model of the coupling between land surface and atmosphere and its application to study of the land-atmosphere interaction in Inner Mongolia Grassland. Scientia Atmospherica Sinica (大气科学), 20,367-377. (in Chinese with English abstract)
[21]	Sala OE, Lauenroth WK (1982). Small rainfall events: an ecological role in semiarid regions. Oecologia, 53,301-304. URL PMID
[22]	Song BY (宋炳煜) (1995). Studies on evapotranspiration from different plant communities in steppe region of Inner Mongolia. Acta Phytoecologica Sinica(植物生态学报), 19,319-328. (in Chinese with English abstract)
[23]	Wang QF (王秋凤), Niu D (牛栋), Yu GR (于贵瑞), Ren CY (任传友), Wen XF (温学发), Chen JM (陈镜明), Ju WM (居为民) (2004). Modelling of fluxes of CO ₂, water and heat in Changbai Mountain forest ecosystem. Science in China Series D (中国科学D辑), 34(Suppl.Ⅱ),131-140.
[24]	Webb EK, Peannan GI, Leuning R (1980). Correction of flux measurement for density effects due to heat and water vapour transfer. Quarterly Journal of the Royal Meteorological Society, 106,85-100.
[25]	Wever LA, Flanagan LB, Carlson PJ (2002). Seasonal and interannual variation in evapotranspiration, energy balance and conductance in a northern temperate grassland. Agricultural and Forest Meteorology, 112,31-49.
[26]	Wilson KB, Baldocchi DD (2000). Seasonal and interannual variability of energy flux over a broadleaved temperate deciduous forest in North America. Agricultural and Forest Meteorology, 100,1-18.
[27]	Zhang XS (张新时), Gao Q (高琼), Yang DA (杨奠安), Zhou GS (周广胜), Ni J (倪健), Wang Q (王权) (1997). A gradient analysis and prediction on the northeast China transect (NECT) for global change study. Acta Botanica Sinica (植物学报), 39,785-799. (in Chinese with English abstract)

基于VIP模型对内蒙古草原蒸散季节和年际变化的模拟

SIMULATING SEASONAL AND INTERANNUAL VARIATIONS OF ECOSYS- TEM EVAPOTRANSPIRATION AND ITS COMPONENTS IN INNER MONG- OLIA STEPPE WITH VIP MODEL

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