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

Guarin, Jose Rafael; Jägermeyr, Jonas; Ainsworth, Elizabeth A.; Oliveira, Fabio A.A.; Asseng, Senthold; Boote, Kenneth; Elliott, Joshua; Emberson, Lisa; Foster, Ian; Hoogenboom, Gerrit; Kelly, David; Ruane, Alex C.; Sharps, Katrina ORCID: https://orcid.org/0000-0003-3265-1505. 2024 Modeling the effects of tropospheric ozone on the growth and yield of global staple crops with DSSAT v4.8.0. Geoscientific Model Development, 17 (7). 2547-2567. 10.5194/gmd-17-2547-2024

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Abstract/Summary

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 pDSSAT global gridded modeling framework for future studies on O3 impacts under climate change and air pollution scenarios across agroecosystems globally.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.5194/gmd-17-2547-2024
UKCEH and CEH Sections/Science Areas:	Soils and Land Use (Science Area 2017-)
ISSN:	1991-959X
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
NORA Subject Terms:	Agriculture and Soil Science Atmospheric Sciences
Related URLs:	Other Other Other Other Other
Date made live:	09 Nov 2023 14:11 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/536059

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