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Considering water-temperature synergistic factors improves simulations of stomatal conductance models under plastic film mulching

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  • Li, Cheng
  • Zhang, Yunxin
  • Wang, Jingui
  • Feng, Hao
  • Zhang, Renyou
  • Zhang, Wenxin
  • Siddique, Kadambot H.M.

Abstract

Accurately simulating stomatal behavior is crucial for understanding water, carbon, and energy fluxes between land and atmosphere. Given the significant impact of plastic film mulching on water and temperature, it is essential to incorporate water and temperature modifications into stomatal conductance models under these conditions. In this study, we evaluated three commonly used stomatal conductance models: Ball-Woodrow-Berry (BWB), Ball-Berry-Leuning (BBL), and unified stomatal optimization (USO), to simulate the stomatal conductance of spring maize with or without mulching. We introduced modifications based on air temperature, canopy temperature, and water-temperature synergistic factors. Our results indicate that the USO model performed best, followed by the BBL and BWB models. Introducing temperature response functions improved simulation accuracy, with water-temperature synergistic models (-Tc&T) outperforming others. Models modified by canopy temperature (-Tc) outperformed those modified by air temperature (-Ta). Specifically, for the BWB model, the -Ta, -Tc, and -Tc&T modifications decreased root mean square error (RMSE) by 11.5–33.3 %, 19.2–50.6 %, and 29.5–56.7 %, respectively. For the BBL model, these reductions were 6.0–30.4 %, 20.9–48.1 %, and 25.4–52.9 %, respectively. For the USO model, the reductions were 7.9–55.2 %, 11.1–56.3 %, and 27.8–64.4 %, respectively. By comparing the simulated stomatal conductance curves with the 95 % confidence intervals (CI) of the observed data, we determined that the water-temperature synergistic model is optimal for various temperature conditions, followed by the Tc-modified and Ta-modified models. This study enhances our understanding of stomatal conductance under different temperature conditions and offers a foundation for accurately simulating carbon and water cycles in agricultural ecosystems under diverse water and temperature conditions.

Suggested Citation

  • Li, Cheng & Zhang, Yunxin & Wang, Jingui & Feng, Hao & Zhang, Renyou & Zhang, Wenxin & Siddique, Kadambot H.M., 2024. "Considering water-temperature synergistic factors improves simulations of stomatal conductance models under plastic film mulching," Agricultural Water Management, Elsevier, vol. 306(C).
    • Handle: RePEc:eee:agiwat:v:306:y:2024:i:c:s037837742400547x
    DOI: 10.1016/j.agwat.2024.109211
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    1. Li, Cheng & Feng, Hao & Luo, Xiaoqi & Li, Yue & Wang, Naijiang & Wu, Wenjie & Zhang, Tibin & Dong, Qin’ge & Siddique, Kadambot H.M., 2022. "Limited irrigation and fertilization in sand-layered soil increases nitrogen use efficiency and economic benefits under film mulched ridge-furrow irrigation in arid areas," Agricultural Water Management, Elsevier, vol. 262(C).
    2. Yan-Shih Lin & Belinda E. Medlyn & Remko A. Duursma & I. Colin Prentice & Han Wang & Sofia Baig & Derek Eamus & Victor Resco de Dios & Patrick Mitchell & David S. Ellsworth & Maarten Op de Beeck & Gör, 2015. "Optimal stomatal behaviour around the world," Nature Climate Change, Nature, vol. 5(5), pages 459-464, May.
    3. Li, Cheng & Luo, Xiaoqi & Wang, Naijiang & Wu, Wenjie & Li, Yue & Quan, Hao & Zhang, Tibin & Ding, Dianyuan & Dong, Qin’ge & Feng, Hao, 2022. "Transparent plastic film combined with deficit irrigation improves hydrothermal status of the soil-crop system and spring maize growth in arid areas," Agricultural Water Management, Elsevier, vol. 265(C).
    4. Wang, Naijiang & Ding, Dianyuan & Malone, Robert W. & Chen, Haixin & Wei, Yongsheng & Zhang, Tibin & Luo, Xiaoqi & Li, Cheng & Chu, Xiaosheng & Feng, Hao, 2020. "When does plastic-film mulching yield more for dryland maize in the Loess Plateau of China? A meta-analysis," Agricultural Water Management, Elsevier, vol. 240(C).
    5. Qi, Yue & Zhang, Qiang & Hu, Shujuan & Wang, Runyuan & Wang, Heling & Zhang, Kai & Zhao, Hong & Zhao, Funian & Chen, Fei & Yang, Yang & Tang, Guoying & Hu, Yanbin, 2023. "Applicability of stomatal conductance models comparison for persistent water stress processes of spring maize in water resources limited environmental zone," Agricultural Water Management, Elsevier, vol. 277(C).
    6. Li, Cheng & Luo, Xiaoqi & Li, Yue & Wang, Naijiang & Zhang, Tibin & Dong, Qin’ge & Feng, Hao & Zhang, Wenxin & Siddique, Kadambot H.M., 2023. "Ridge planting with transparent plastic mulching improves maize productivity by regulating the distribution and utilization of soil water, heat, and canopy radiation in arid irrigation area," Agricultural Water Management, Elsevier, vol. 280(C).
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