Published April 5, 2024 | Version v1
Journal article Open

Modeling the effects of tropospheric ozone on the growth and yield of global staple crops with DSSAT v4.8.0

  • 1. Columbia University
  • 2. Agricultural Research Service
  • 3. University of Florida
  • 4. Technical University of Munich
  • 5. University of Chicago
  • 6. University of York
  • 7. NASA Goddard Institute for Space Studies
  • 8. UK Centre for Ecology & Hydrology

Description

Elevated surface ozone (O3) concentrations can negatively impact growth and development of crop production by reducing photosynthesis and accelerating leaf senescence. Under unabated climate change, future global O3 concentrations are expected to increase in many regions, adding additional challenges to global agricultural production. Presently, few global process-based crop models consider the effects of O3 stress on crop growth. Here, we incorporated the effects of O3 stress on photosynthesis and leaf senescence into the Decision Support System for Agrotechnology Transfer (DSSAT) crop models for maize, rice, soybean, and wheat. The advanced models reproduced the reported yield declines from observed O3-dose field experiments and O3 exposure responses reported in the literature (O3 relative yield loss RMSE <10 % across all calibrated models). Simulated crop yields decreased as daily O3 concentrations increased above 25 ppb, with average yield losses of 0.16 % to 0.82 % (maize), 0.05 % to 0.63 % (rice), 0.36 % to 0.96 % (soybean), and 0.26 % to 1.23 % (wheat) per ppb O3 increase, depending on the cultivar O3 sensitivity. Increased water deficit stress and elevated CO2 lessen the negative impact of elevated O3 on crop yield, but potential yield gains from CO2 concentration increases may be counteracted by higher O3 concentrations in the future, a potentially important constraint to global change projections for the latest process-based crop models. The improved DSSAT models with O3 representation simulate the effects of O3 stress on crop growth and yield in interaction with other growth factors and can be run in the parallel DSSAT global gridded modeling framework for future studies on O3 impacts under climate change and air pollution scenarios across agroecosystems globally.

Data availability

The current version of the DSSAT crop modeling platform is available to download from the DSSAT Foundation website (https://dssat.net/, Hoogenboom et al., 2019, 2021). The current version of the pSIMS framework is available to download from the RDCEP website (http://www.rdcep.org/research-projects/psims; RDCEP, 2024). The O3-modified version of the DSSAT crop models will be available with the next DSSAT version release, and the O3-modified version of the pDSSAT crop models is available from the GitHub repository at https://github.com/jguarin4/dssat-csm-os/tree/develop_v4.8_pdssat (last access: 28 March 2024). An archived version of the code is also available on Zenodo at https://doi.org/10.5281/zenodo.8284732 (Porter et al., 2023). The R code used to classify the cultivar O3 sensitivities is available on the Harvard Dataverse at https://doi.org/10.7910/DVN/0NN9MH (Guarin et al., 2023).

All field experimental and literature data used in this study are available from the sources referenced. The crop model simulated output data is available on the Harvard Dataverse at https://doi.org/10.7910/DVN/0NN9MH (Guarin et al., 2023).

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Additional details

Identifiers

DOI
10.5194/gmd-17-2547-2024
Other
oai:uchicago.tind.io:13633

Funding

Open Philanthropy Project
NASA Earth Sciences Division

UChicago Information

Division(s)
Physical Sciences Division
Department(s)
Computer Science
Center(s) or Institute(s)
Center for Robust Decision Making on Climate and Energy Policy