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Sustainable irrigation based on co-regulation of soil water supply and atmospheric evaporative demand

Author

Listed:
  • Jingwen Zhang

    (University of Illinois at Urbana Champaign
    University of Illinois at Urbana Champaign)

  • Kaiyu Guan

    (University of Illinois at Urbana Champaign
    University of Illinois at Urbana Champaign
    University of Illinois at Urbana Champaign)

  • Bin Peng

    (University of Illinois at Urbana Champaign
    University of Illinois at Urbana Champaign
    University of Illinois at Urbana Champaign)

  • Ming Pan

    (Princeton University
    University of California San Diego)

  • Wang Zhou

    (University of Illinois at Urbana Champaign
    University of Illinois at Urbana Champaign)

  • Chongya Jiang

    (University of Illinois at Urbana Champaign
    University of Illinois at Urbana Champaign)

  • Hyungsuk Kimm

    (University of Illinois at Urbana Champaign
    University of Illinois at Urbana Champaign)

  • Trenton E. Franz

    (University of Nebraska-Lincoln)

  • Robert F. Grant

    (University of Alberta)

  • Yi Yang

    (University of Illinois at Urbana Champaign
    University of Illinois at Urbana Champaign)

  • Daran R. Rudnick

    (University of Nebraska-Lincoln)

  • Derek M. Heeren

    (University of Nebraska-Lincoln)

  • Andrew E. Suyker

    (University of Nebraska-Lincoln)

  • William L. Bauerle

    (Colorado State University)

  • Grace L. Miner

    (Soil Management and Sugarbeet Research Unit, USDA-ARS)

Abstract

Irrigation is an important adaptation to reduce crop yield loss due to water stress from both soil water deficit (low soil moisture) and atmospheric aridity (high vapor pressure deficit, VPD). Traditionally, irrigation has primarily focused on soil water deficit. Observational evidence demonstrates that stomatal conductance is co-regulated by soil moisture and VPD from water supply and demand aspects. Here we use a validated hydraulically-driven ecosystem model to reproduce the co-regulation pattern. Specifically, we propose a plant-centric irrigation scheme considering water supply-demand dynamics (SDD), and compare it with soil-moisture-based irrigation scheme (management allowable depletion, MAD) for continuous maize cropping systems in Nebraska, United States. We find that, under current climate conditions, the plant-centric SDD irrigation scheme combining soil moisture and VPD, could significantly reduce irrigation water use (−24.0%) while maintaining crop yields, and increase economic profits (+11.2%) and irrigation water productivity (+25.2%) compared with MAD, thus SDD could significantly improve water sustainability.

Suggested Citation

  • Jingwen Zhang & Kaiyu Guan & Bin Peng & Ming Pan & Wang Zhou & Chongya Jiang & Hyungsuk Kimm & Trenton E. Franz & Robert F. Grant & Yi Yang & Daran R. Rudnick & Derek M. Heeren & Andrew E. Suyker & Wi, 2021. "Sustainable irrigation based on co-regulation of soil water supply and atmospheric evaporative demand," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-25254-7
    DOI: 10.1038/s41467-021-25254-7
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    Cited by:

    1. Bhatti, Sandeep & Heeren, Derek M. & Evett, Steven R. & O’Shaughnessy, Susan A. & Rudnick, Daran R. & Franz, Trenton E. & Ge, Yufeng & Neale, Christopher M.U., 2022. "Crop response to thermal stress without yield loss in irrigated maize and soybean in Nebraska," Agricultural Water Management, Elsevier, vol. 274(C).
    2. Wang, Chu & Zhu, Kai & Bai, YanYan & Li, ChenYan & Li, Maona & Sun, Yan, 2024. "Response of stomatal conductance to plant water stress in buffalograss seed production: Observation with UAV thermal infrared imagery," Agricultural Water Management, Elsevier, vol. 292(C).
    3. Shen, Hongzheng & Wang, Yue & Jiang, Kongtao & Li, Shilei & Huang, Donghua & Wu, Jiujiang & Wang, Yongqiang & Wang, Yangren & Ma, Xiaoyi, 2022. "Simulation modeling for effective management of irrigation water for winter wheat," Agricultural Water Management, Elsevier, vol. 269(C).
    4. Liao, Qi & Ding, Risheng & Du, Taisheng & Kang, Shaozhong & Tong, Ling & Li, Sien, 2022. "Stomatal conductance drives variations of yield and water use of maize under water and nitrogen stress," Agricultural Water Management, Elsevier, vol. 268(C).
    5. Fan, Yunfei & He, Liuyue & Liu, Yi & Wang, Sufen, 2022. "Optimal cropping patterns can be conducive to sustainable irrigation: Evidence from the drylands of Northwest China," Agricultural Water Management, Elsevier, vol. 274(C).

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