Chinese Journal of Agrometeorology ›› 2016, Vol. 37 ›› Issue (06): 666-673.doi: 10.3969/j.issn.1000-6362.2016.06.006

Previous Articles     Next Articles

Simulation on and Impact of Soil Moisture on Stomatal Conductance and Photosynthesis Rate of Winter Wheat

LI Li, SHEN Shuang-he,SUN Gang, LI Yong-xiu, WANG Xiao-dong, LIU Rui-na   

  1. 1. China Meteorological Administration Training Center Anhui Branch, Hefei 230061, China; 2.Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster of Nanjing University of Information Science &Technology, Nanjing 210044; 3.Anhui Agricultural Meteorological Center, Hefei 230061
  • Received:2016-03-08 Online:2016-12-20 Published:2016-12-15

Abstract: In order to understand accurately the contribution of soil moisture in the crop model, five-moisture level controlled experiment in the field was designed to measure the diurnal variation and light response process of the stomatal conductance and photosynthetic rate of the winter wheat leaf by using Li-6400 photosynthetic apparatus in the heading stage on 4 April 2011, and the late phase of flowering on 5 May 2011. The experiment was divided into 5 degrees, by holding the soil volumetric water content accounted for 45% (T1), 55% (T2), 65% (T3), 70% (T4), 80% (T5) of the maximum field capacity. Three replicates for each treatment. Each parameter was calculated based on the observed data by the Jarvis model and the non-rectangular hyperbolic model which were improved by considering the soil moisture factor. The results showed that there was a significant positive correlation between the diurnal variation of the stomatal conductance and photosynthetic rate and the soil moisture. The less the water content of the soil was, the little stomatal conductance and photosynthetic rate would be. The simulated effect of these two revised models by considering the soil moisture was satisfactory compared with the measured values. The correlation coefficients of the measured values and simulated values were 0.907 and 0.769 before the revision. However, their coefficients increased to 0.967 and 0.987 after the revision. In addition, the correlation coefficients of the measured values and the model returned values from 0.572 and 0.316 before the revision to 0.768 and 0.874 after the revision. The mean square error decreased significantly. Therefore, the soil moisture was a very important factor to adjust the stomatal conductance and photosynthetic rate. The impact of the soil moisture could not be ignored in the simulation of the stomatal conductance and photosynthetic rate.

Key words: Soil moisture, Non linear hyperbolic model, Stomatal conductance, Photosynthetic rate, Pn-PFD curve