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Introducing water factors improves simulations of maize stomatal conductance models under plastic film mulching in arid and semi-arid irrigation areas

Li, Cheng LU ; Wang, Naijiang ; Luo, Xiaoqi ; Li, Yue ; Zhang, Tibin ; Ding, Dianyuan ; Dong, Qin'ge ; Feng, Hao and Zhang, Wenxin LU orcid (2023) In Journal of Hydrology 617.
Abstract

Plastic film mulching (PFM) in the cropland may alter biophysical conditions for crop growth, which may not be accounted for in existing stomatal conductance models. This can affect the accuracy of carbon–nitrogen-water cycle simulations for the soil-crop systems and hamper our understanding of internal mechanisms that control plant leaf stomatal conductance (gsw). To evaluate the simulations of PFM effects on gsw, the three models (i.e., Ball-Woodrow-Berry (BWB), Ball-Berry-Leuning (BBL), and unified stomatal optimization (USO) models) were used. The two model modification factors were leaf-air temperature difference (ΔT) and a water response function (f(θ)). A two-year maize (Zea mays L.) field experiment was... (More)

Plastic film mulching (PFM) in the cropland may alter biophysical conditions for crop growth, which may not be accounted for in existing stomatal conductance models. This can affect the accuracy of carbon–nitrogen-water cycle simulations for the soil-crop systems and hamper our understanding of internal mechanisms that control plant leaf stomatal conductance (gsw). To evaluate the simulations of PFM effects on gsw, the three models (i.e., Ball-Woodrow-Berry (BWB), Ball-Berry-Leuning (BBL), and unified stomatal optimization (USO) models) were used. The two model modification factors were leaf-air temperature difference (ΔT) and a water response function (f(θ)). A two-year maize (Zea mays L.) field experiment was conducted under different PFM (black, transparent, and no-mulch). The performance of the BWB model was poor under varying water status in the arid irrigation area. As for the BBL and USO models, the coefficient of determination and modified efficiency coefficient of the modified models increased 5.8%–90.6% and 6.5%–145.4%, respectively, compared with the initial models. The root mean square error and relative error of the modified models decreased 3.5%–67.9% and 4.8%–65.6%, respectively. The ΔT and f(θ) factors effectively improved the BBL and USO models, but the f(θ)-modified models performed better than ΔT-modified models under PFM. Overall, our results suggest that the maize land implemented with plastic film mulching has altered biophysical conditions, leading to significant changes in crop photosynthesis, leaf-air temperature difference and top-soil water conditions. Accurate estimates of stomatal conductance require the model to consider water response functions and leaf-air temperature difference, particularly in environmental conditions associated with different extents of water deficit or drought.

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author
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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Leaf-air temperature difference, Plastic film mulching, Spring maize, Stomatal conductance model, Water response function
in
Journal of Hydrology
volume
617
article number
128908
publisher
Elsevier
external identifiers
  • scopus:85144375039
ISSN
0022-1694
DOI
10.1016/j.jhydrol.2022.128908
language
English
LU publication?
yes
additional info
Funding Information: This work was supported by the National Natural Science Foundation of China (Grant Nos. 51879224 and 51609237 ), the National Key R&D Program of China (2021YFD1900700). This work was also supported by the China Scholarship Council (CSC NO. 202106300041 ) for studying abroad at Lund University in Sweden. W. Z. acknowledged the support by the Swedish Research Council (Vetenskapsrådet) start grant (2020-05338). Publisher Copyright: © 2022 Elsevier B.V.
id
d91f60ab-b2a2-4168-b8a3-00da1b874ed4
date added to LUP
2023-01-10 09:56:55
date last changed
2023-01-12 16:30:46
@article{d91f60ab-b2a2-4168-b8a3-00da1b874ed4,
  abstract     = {{<p>Plastic film mulching (PFM) in the cropland may alter biophysical conditions for crop growth, which may not be accounted for in existing stomatal conductance models. This can affect the accuracy of carbon–nitrogen-water cycle simulations for the soil-crop systems and hamper our understanding of internal mechanisms that control plant leaf stomatal conductance (g<sub>sw</sub>). To evaluate the simulations of PFM effects on g<sub>sw</sub>, the three models (i.e., Ball-Woodrow-Berry (BWB), Ball-Berry-Leuning (BBL), and unified stomatal optimization (USO) models) were used. The two model modification factors were leaf-air temperature difference (ΔT) and a water response function (f(θ)). A two-year maize (Zea mays L.) field experiment was conducted under different PFM (black, transparent, and no-mulch). The performance of the BWB model was poor under varying water status in the arid irrigation area. As for the BBL and USO models, the coefficient of determination and modified efficiency coefficient of the modified models increased 5.8%–90.6% and 6.5%–145.4%, respectively, compared with the initial models. The root mean square error and relative error of the modified models decreased 3.5%–67.9% and 4.8%–65.6%, respectively. The ΔT and f(θ) factors effectively improved the BBL and USO models, but the f(θ)-modified models performed better than ΔT-modified models under PFM. Overall, our results suggest that the maize land implemented with plastic film mulching has altered biophysical conditions, leading to significant changes in crop photosynthesis, leaf-air temperature difference and top-soil water conditions. Accurate estimates of stomatal conductance require the model to consider water response functions and leaf-air temperature difference, particularly in environmental conditions associated with different extents of water deficit or drought.</p>}},
  author       = {{Li, Cheng and Wang, Naijiang and Luo, Xiaoqi and Li, Yue and Zhang, Tibin and Ding, Dianyuan and Dong, Qin'ge and Feng, Hao and Zhang, Wenxin}},
  issn         = {{0022-1694}},
  keywords     = {{Leaf-air temperature difference; Plastic film mulching; Spring maize; Stomatal conductance model; Water response function}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Journal of Hydrology}},
  title        = {{Introducing water factors improves simulations of maize stomatal conductance models under plastic film mulching in arid and semi-arid irrigation areas}},
  url          = {{http://dx.doi.org/10.1016/j.jhydrol.2022.128908}},
  doi          = {{10.1016/j.jhydrol.2022.128908}},
  volume       = {{617}},
  year         = {{2023}},
}