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Chinese Journal of Applied Ecology ›› 2019, Vol. 30 ›› Issue (1): 233-242.doi: 10.13287/j.1001-9332.201901.039

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Influencing factors and their simulation of summer maize land surface-air temperature difference under drought conditions

LIU Er-hua1, ZHOU Guang-sheng1,2*   

  1. 1Chinese Academy of Meteorological Sciences, Beijing 100081, China;
    2Collaborative Innovation Center on Forecast Meteorological Disaster Warning and Assessment, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • Received:2018-06-19 Revised:2018-12-03 Online:2019-01-20 Published:2019-01-20
  • Supported by:

    This work was supported by the National Key Natural Science Foundation of China (41330531,31661143028,41501047), and the Special Fund for Meteorology Scientific Research in the Public Interest (GYHY201506001-3, GYHY201506019).2018-06-19 Received, 2018-12-03 Accepted.*

Abstract: Crop water deficit status characterized by land surface-air temperature difference (Ts-Ta) has been widely investigated. However, empirical evidence for characteristics and impact factors of Ts-Ta considering the process of crop growth are less yet, which restricts the accurate simulation of Ts-Ta. Here, the data of Ts-Ta during the process of maize growth were obtained from five irrigation water control experiments after the period of summer maize 3-leaf stage in 2014 and jointing stage in 2015. The results showed that Ts-Ta of summer maize cropland was significantly affected by soil water content. Ts-Ta increased with the deficit of soil water. During summer maize water treatments, the normalized difference vegetation index (NDVI) was the main impact factor of Ts-Ta, with a significant linear relationship. However, during different growth stages, some additional factors including meteorological, biological and soil factors could also affect Ts-Ta, including canopy photosynthetic active radiation absorption ratio (fAPAR) after 3-leaf stage, relative soil water content (RSWC), and air relative humidity (RH) from 3-leaf stage to jointing stage. Then, the growth duration simulation model of Ts-Ta, vegetative growth simulation model of Ts-Ta and reproductive growth simulation model of Ts-Ta were established in terms of the data in 2014. Those simulation models were validated based on the experimental data of five irrigation water treatments after summer maize jointing stage in 2015. The results showed that the growth duration simulation mode of Ts-Ta could explain 63% variation of Ts-Ta in 2015. However, 79% variation of Ts-Ta could be explained by the simulation results of the vegetative growth simulation model of Ts-Ta and the reproductive growth simulation model of Ts-Ta. The results provided the basis for the quantitative evaluation of crop drought based on Ts-Ta.