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

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

Agricultural Water Management, 2024, vol. 306, issue C

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.

Keywords: Photosynthesis; Canopy temperature; Temperature response function; Spring maize; Arid and semiarid area (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S037837742400547X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:agiwat:v:306:y:2024:i:c:s037837742400547x

DOI: 10.1016/j.agwat.2024.109211

Access Statistics for this article

Agricultural Water Management is currently edited by B.E. Clothier, W. Dierickx, J. Oster and D. Wichelns

More articles in Agricultural Water Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().