title: The Effect of Elevated Ozone Concentrations with Varying Shading on Dry Matter Loss in a Winter Wheat-Producing Region in China.
abstract: Surface-level ozone pollution causes crop production loss by directly reducing healthy green leaf area available for carbon fixation. Ozone and its precursors also affect crop photosynthesis indirectly by decreasing solar irradiance. Pollutants are reported to have become even more severe in Eastern China over the last ten years. In this study, we investigated the effect of a combination of elevated ozone concentrations and reduced solar irradiance on a popular winter wheat Yangmai13 (Triticum aestivum L.) at field and regional levels in China. Winter wheat was grown in artificial shading and open-top-chamber environments. Treatment 1 (T1, i.e., 60% shading with an enhanced ozone of 100±9 ppb), Treatment 2 (T2, i.e., 20% shading with an enhanced ozone of 100±9 ppb), and Control Check Treatment (CK, i.e., no shading with an enhanced ozone of 100±9 ppb), with two plots under each, were established to investigate the response of winter wheat under elevated ozone concentrations and varying solar irradiance. At the field level, linear temporal relationships between dry matter loss and cumulative stomatal ozone uptake were first established through a parameterized stomatal-flux model. At the regional level, ozone concentrations and meteorological variables, including solar irradiance, were simulated using the WRF-CMAQ model (i.e., a meteorology and air quality modeling system). These variables were then used to estimate cumulative stomatal ozone uptake for the four major winter wheat-growing provinces. The regional-level cumulative ozone uptake was then used as the independent variable in field data-based regression models to predict dry matter loss over space and time. Field-level results showed that over 85% (T1: R(2) = 0.85 & T2: R(2) = 0.89) of variation in dry matter loss was explained by cumulative ozone uptake. Dry matter was reduced by 3.8% in T1 and 2.2% in T2 for each mmol O3·m(-2) of cumulative ozone uptake. At the regional level, dry matter loss in winter wheat would reach 50% under elevated ozone concentrations and reduced solar irradiance as determined in T1, and 30% under conditions as determined in T2. Results from this study suggest that a combination of elevated ozone concentrations and reduced solar irradiance could result in substantial dry matter loss in the Chinese wheat-growing regions.
authors.affiliation: Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nan Jing, Jiang Su, China.|Department of Geography, University of Toronto Mississauga, Mississauga, Toronto, Canada.
authors.forename: Jingxin
authors.initials: J
authors.lastname: Xu
authors.affiliation: Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nan Jing, Jiang Su, China.
authors.forename: Youfei
authors.initials: Y
authors.lastname: Zheng
authors.affiliation: Department of Geography, University of Toronto Mississauga, Mississauga, Toronto, Canada.
authors.forename: Yuhong
authors.initials: Y
authors.lastname: He
authors.affiliation: Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nan Jing, Jiang Su, China.
authors.forename: Rongjun
authors.initials: R
authors.lastname: Wu
authors.affiliation: Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nan Jing, Jiang Su, China.
authors.forename: Boru
authors.initials: B
authors.lastname: Mai
authors.affiliation: Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nan Jing, Jiang Su, China.
authors.forename: Hanqing
authors.initials: H
authors.lastname: Kang
mesh_terms: D018533:Biomass; D002681:China; D003198:Computer Simulation; D008962:Models, Theoretical; D010126:Ozone / Q000032:analysis*; D054046:Plant Stomata / Q000502:physiology; D012044:Regression Analysis; D015203:Reproducibility of Results; D012621:Seasons; D013997:Time Factors; D014908:Triticum / Q000254:growth & development*
chemical_list: D010126:Ozone