2021
DOI: 10.3389/fsufs.2021.534616
|View full text |Cite
|
Sign up to set email alerts
|

Impacts of Surface Ozone Pollution on Global Crop Yields: Comparing Different Ozone Exposure Metrics and Incorporating Co-effects of CO2

Abstract: Surface ozone (O3) pollution poses significant threats to crop production and food security worldwide, but an assessment of present-day and future crop yield losses due to exposure to O3 still abides with great uncertainties, mostly due: (1) to the large spatiotemporal variability and uncertain future projections of O3 concentration itself; (2) different methodological approaches to quantify O3 exposure and impacts; (3) difficulty in accounting for co-varying factors such as CO2 concentration and climatic cond… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
16
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
5
2
2

Relationship

1
8

Authors

Journals

citations
Cited by 58 publications
(29 citation statements)
references
References 51 publications
0
16
0
Order By: Relevance
“…For the numerical modeling framework, we made use of the Terrestrial Ecosystem Model in R (TEMIR), an offline ecosystem model driven by prescribed meteorology for investigating ecophysiological responses of the biosphere to atmospheric and environmental changes (https://github.com/amospktai/TEMIR). This biosphere model has also been used in previous studies to evaluate global dry deposition fluxes (Wong et al, 2019) and the damage of ozone on global crop production (Tai et al, 2021). In this study, we implemented in TEMIR various representations of dry deposition velocity and stomatal resistance in particular.…”
Section: Model Descriptionmentioning
confidence: 99%
“…For the numerical modeling framework, we made use of the Terrestrial Ecosystem Model in R (TEMIR), an offline ecosystem model driven by prescribed meteorology for investigating ecophysiological responses of the biosphere to atmospheric and environmental changes (https://github.com/amospktai/TEMIR). This biosphere model has also been used in previous studies to evaluate global dry deposition fluxes (Wong et al, 2019) and the damage of ozone on global crop production (Tai et al, 2021). In this study, we implemented in TEMIR various representations of dry deposition velocity and stomatal resistance in particular.…”
Section: Model Descriptionmentioning
confidence: 99%
“…Ozone directly damages plants by entering leaves through the stomata and reacting in the aqueous apoplast to produce other reactive oxygen species (ROS) that subsequently accelerate senescence and at high enough concentrations lead to programmed cell death (Ainsworth, 2017 ; Hasan et al., 2021 ). Regions of high O 3 pollution (Figure 1(a) ) correspond with global croplands (Figure 1(b) ) resulting in significant negative effects on crop productivity (Fischer, 2019 ; Mills et al., 2018 ; Tai et al., 2021 ). Fischer ( 2019 ) estimated that O 3 pollution currently reduces wheat ( Triticum aestivum ) yields by more than 20% in India.…”
Section: Introductionmentioning
confidence: 99%
“…The estimated magnitude of global O 3 impacts on crop yields varies with assumptions about O 3 flux through stomata into leaves and the degree of detoxification within leaves. Still, conservative estimates suggest that current O 3 pollution reduces yield in major staple crops by 3.6% in maize, 2.6% in rice ( Oryza sativa ), 6.7% in soybean, and 7.2% in wheat (Tai et al., 2021 ).…”
Section: Introductionmentioning
confidence: 99%
“…How atmospheric composition and chemistry has changed in the past and will change in the future is of tremendous societal importance. Surface air pollution is the leading cause of preventable death worldwide (GBD 2019Risk Factor Collaborators, 2020 and threatens global food security and ecosystem health (e.g., Tai et al, 2021). Short-lived climate forcers like methane, tropospheric ozone, and aerosol particles influence global and regional climate (e.g., Fiore et al, 2015).…”
Section: Introductionmentioning
confidence: 99%