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Chinese Journal of Applied Ecology ›› 2016, Vol. 27 ›› Issue (11): 3585-3592.doi: 10.13287/j.1001-9332.201611.033

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Suitability of four stomatal conductance models in agro-pastoral ecotone in North China: A case study for potato and oil sunflower.

HUANG Ming-xia1, WANG Jing1*, TANG Jian-zhao1, YU Qiang2, ZHANG Jun1, XUE Qing-yu3, CHANG Qing1,4, TAN Mei-xiu1   

  1. 1College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China;
    2State Key Laboratory of Soil Erosion and Dryland Farming on Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, Shaanxi, China;
    3Tianjin Climate Center, Tianjin 300074, China;
    4Shanxi Meteorological Service Centre, Taiyuan 030002, China
  • Received:2016-03-08 Online:2016-11-18 Published:2016-11-18
  • Contact: E-mail: wangj@cau.edu.cn
  • Supported by:
    This work was supported by the National Science & Technology Support Plan of China (2012BAD09B02), the Special Scientific Research Fund in the Public Interest (GYHY20150616), and the Fundamental Research Funds for the Central Universities (2015ZH002).

Abstract: The suitability of four popular empirical and semi-empirical stomatal conductance models (Jarvis model, Ball-Berry model, Leuning model and Medlyn model) was evaluated based on para-llel observation data of leaf stomatal conductance, leaf net photosynthetic rate and meteorological factors during the vigorous growing period of potato and oil sunflower at Wuchuan experimental station in agro-pastoral ecotone in North China. It was found that there was a significant linear relationship between leaf stomatal conductance and leaf net photosynthetic rate for potato, whereas the linear relationship appeared weaker for oil sunflower. The results of model evaluation showed that Ball-Berry model performed best in simulating leaf stomatal conductance of potato, followed by Leuning model and Medlyn model, while Jarvis model was the last in the performance rating. The root-mean-square error (RMSE) was 0.0331, 0.0371, 0.0456 and 0.0794 mol·m-2·s-1, the normalized root-mean-square error (NRMSE) was 26.8%, 30.0%, 36.9% and 64.3%, and R-squared (R2) was 0.96, 0.61, 0.91 and 0.88 between simulated and observed leaf stomatal conductance of potato for Ball-Berry model, Leuning model, Medlyn model and Jarvis model, respectively. For leaf stomatal conductance of oil sunflower, Jarvis model performed slightly better than Leuning model, Ball-Berry model and Medlyn model. RMSE was 0.2221, 0.2534, 0.2547 and 0.2758 mol·m-2·s-1, NRMSE was 40.3%, 46.0%, 46.2% and 50.1%, and R2 was 0.38, 0.22, 0.23 and 0.20 between simulated and observed leaf stomatal conductance of oil sunflower for Jarvis model, Leuning model, Ball-Berry model and Medlyn model, respectively. The path analysis was conducted to identify effects of specific meteorological factors on leaf stomatal conductance. The diurnal variation of leaf stomatal conductance was principally affected by vapour pressure saturation deficit for both potato and oil sunflower. The model evaluation suggested that the stomatal conductance models for oil sunflower are to be improved in further research.