PROGRESS IN GEOGRAPHY ›› 2022, Vol. 41 ›› Issue (4): 682-692.doi: 10.18306/dlkxjz.2022.04.012

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Impacts of maize planting date and variety on canopy temperature on the North China Plain and surface biophysical mechanism

LIU Fengshan1,2,3(), GE Quansheng3,4, TAO Fulu3,4, CAI Yangxing2, BU Jianchao2, BAI Nini1   

  1. 1. Forestry College, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    2. China National Engineering Research Center of JUNCAO Technology, Life College, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    3. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    4. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2021-02-23 Revised:2021-12-09 Online:2022-04-28 Published:2022-06-28
  • Supported by:
    National Natural Science Foundation of China(41801020)

Abstract:

By changing the surface energy and water exchange at the land-atmosphere interface, farmland management change becomes an important feedback process of climate change. The planting date and growing degree day of maize on the North China Plain have changed, which is a potential feedback process for regional climate by influencing leaf area index (LAI), surface albedo (α), net radiation (Rn), latent heat (LH), and canopy temperature (Tc). The SiBcrop model was used to simulate the seasonal dynamics of LAI, α, Rn, LH and Tc under three maize planting scenarios (spring maize, summer maize, and potential maize). The results show that spring maize had the characteristics of early planting, early harvest, and early LAI peak; summer maize was characterized by late planting, late harvest, and late LAI peak; potential maize was characterized by early planting, late harvest, and high LAI. The differences between the simulated scenarios were ±2.5 m2·m-2 for LAI and ±0.5 ℃ for Tc. The main determinants of Tc difference between the three scenarios were α and surface energy partitioning. The cooling effect of delayed planting was dominated by the increased α; and the cooling effect of prolonged growing degree day was mainly due to the increased LH partitioning. Spring maize had the highest Tc, while summer maize and potential maize had lower Tc with little difference. The results of this study have certain significance for farmland management change for the adaptation to regional climate change and mitigation.

Key words: maize, agricultural phenology, SiBcrop, surface energy balance, North China Plain