Mapping ozone risks for rice in China for years 2000 and 2020 with flux-based and exposure-based doses
We parameterized a multiplicative model of stomatal conductance (gsto) for O3 uptake by rice leaves with the field measurements in a fully open-air ozone (O3) fumigation experiment. The estimated gsto compared well with the observed one (r2 = 0.79). By using the gsto model for O3 uptake, we estimate...
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Published in | Atmospheric environment (1994) Vol. 86; pp. 74 - 83 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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01.04.2014
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Abstract | We parameterized a multiplicative model of stomatal conductance (gsto) for O3 uptake by rice leaves with the field measurements in a fully open-air ozone (O3) fumigation experiment. The estimated gsto compared well with the observed one (r2 = 0.79). By using the gsto model for O3 uptake, we estimated a flux-based O3 risk (POD6, accumulated stomatal flux of O3 above a threshold of 6 nmol m−2 s−1) for rice across China in years 2000 and 2020, and compared it with the exposure-based O3 risk (AOT40, accumulated hourly O3 concentration above 40 ppb during daytime) for the same period. For the year 2000, both POD6 and AOT40 indicated the middle and lower reaches of Yangtze River and the south China being at the highest O3 risk. From the years 2000–2020, the O3 risks are projected to double (POD6) or triple (AOT40) in a majority of rice producing areas in the above two regions. Among three major rice cropping in the middle and lower reaches of Yangtze River, double-late rice is projected to have lower O3 risk than double-early rice and single rice on the either O3 risk measure in both 2000 and 2020. In south China, on the other hand, the O3 risks for double-late rice are comparable to that for early double-rice. In this study, the O3 risk was not measured as yield loss but as O3 flux and O3 exposure. The crop loss estimation would require a relationship between O3 flux and yield loss for major rice production regions across China.
•Ozone flux to rice leaves was modeled with observations in free-air fumigation.•Surface ozone concentration in China was estimated with a chemical transport model.•Ozone risks on the flux and exposures were estimated for China in 2000 and 2020.•Rice regions along the Yangtze River and south China had high ozone risks in 2000.•The ozone risks will double or triple from 2000 to 2020 in the major rice regions. |
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AbstractList | We parameterized a multiplicative model of stomatal conductance (gsto) for O3 uptake by rice leaves with the field measurements in a fully open-air ozone (O3) fumigation experiment. The estimated gsto compared well with the observed one (r2 = 0.79). By using the gsto model for O3 uptake, we estimated a flux-based O3 risk (POD6, accumulated stomatal flux of O3 above a threshold of 6 nmol m−2 s−1) for rice across China in years 2000 and 2020, and compared it with the exposure-based O3 risk (AOT40, accumulated hourly O3 concentration above 40 ppb during daytime) for the same period. For the year 2000, both POD6 and AOT40 indicated the middle and lower reaches of Yangtze River and the south China being at the highest O3 risk. From the years 2000–2020, the O3 risks are projected to double (POD6) or triple (AOT40) in a majority of rice producing areas in the above two regions. Among three major rice cropping in the middle and lower reaches of Yangtze River, double-late rice is projected to have lower O3 risk than double-early rice and single rice on the either O3 risk measure in both 2000 and 2020. In south China, on the other hand, the O3 risks for double-late rice are comparable to that for early double-rice. In this study, the O3 risk was not measured as yield loss but as O3 flux and O3 exposure. The crop loss estimation would require a relationship between O3 flux and yield loss for major rice production regions across China.
•Ozone flux to rice leaves was modeled with observations in free-air fumigation.•Surface ozone concentration in China was estimated with a chemical transport model.•Ozone risks on the flux and exposures were estimated for China in 2000 and 2020.•Rice regions along the Yangtze River and south China had high ozone risks in 2000.•The ozone risks will double or triple from 2000 to 2020 in the major rice regions. We parameterized a multiplicative model of stomatal conductance (gsto) for O3 uptake by rice leaves with the field measurements in a fully open-air ozone (O3) fumigation experiment. The estimated gsto compared well with the observed one (r2 = 0.79). By using the gsto model for O3 uptake, we estimated a flux-based O3 risk (POD6, accumulated stomatal flux of O3 above a threshold of 6 nmol m−2 s−1) for rice across China in years 2000 and 2020, and compared it with the exposure-based O3 risk (AOT40, accumulated hourly O3 concentration above 40 ppb during daytime) for the same period. For the year 2000, both POD6 and AOT40 indicated the middle and lower reaches of Yangtze River and the south China being at the highest O3 risk. From the years 2000–2020, the O3 risks are projected to double (POD6) or triple (AOT40) in a majority of rice producing areas in the above two regions. Among three major rice cropping in the middle and lower reaches of Yangtze River, double-late rice is projected to have lower O3 risk than double-early rice and single rice on the either O3 risk measure in both 2000 and 2020. In south China, on the other hand, the O3 risks for double-late rice are comparable to that for early double-rice. In this study, the O3 risk was not measured as yield loss but as O3 flux and O3 exposure. The crop loss estimation would require a relationship between O3 flux and yield loss for major rice production regions across China. |
Author | Liu, Gang Zhu, Jianguo Zhang, Gongxuan Tang, Haoye Pang, Jing Kobayashi, Kazuhiko Takigawa, Masayuki |
Author_xml | – sequence: 1 givenname: Haoye surname: Tang fullname: Tang, Haoye organization: State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China – sequence: 2 givenname: Jing surname: Pang fullname: Pang, Jing organization: Academy of Resource and Environment, Hubei University, Wuhan 430064, China – sequence: 3 givenname: Gongxuan surname: Zhang fullname: Zhang, Gongxuan organization: School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094, China – sequence: 4 givenname: Masayuki orcidid: 0000-0002-5666-6026 surname: Takigawa fullname: Takigawa, Masayuki organization: Japan Agency for Marine-Earth Science and Technology, 3173-25 Showa-machi, Kanazawa-ku, Yokohama, Kanagawa 235-0001, Japan – sequence: 5 givenname: Gang surname: Liu fullname: Liu, Gang organization: State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China – sequence: 6 givenname: Jianguo surname: Zhu fullname: Zhu, Jianguo organization: State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China – sequence: 7 givenname: Kazuhiko surname: Kobayashi fullname: Kobayashi, Kazuhiko email: aclasman@mail.ecc.u-tokyo.ac.jp, k.kobayashi.ut@gmail.com organization: Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan |
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Keywords | Stomatal conductance model AOT40 Ozone flux Risk assessment China Rice Cartography Monocotyledones Photochemical oxidants Stomatal conductance Ozone Exposure Modeling Cereal crop Oryza sativa Risk evaluation Gramineae Angiospermae Air pollution Spermatophyta Models Risk management Food |
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SubjectTerms | Air AOT40 Applied sciences atmospheric chemistry Atmospheric pollution Biological and medical sciences China crop losses crop production Environmental pollutants toxicology Exact sciences and technology fumigation Fundamental and applied biological sciences. Psychology leaves Medical sciences Non agrochemicals pollutants ozone Ozone flux Phytopathology. Animal pests. Plant and forest protection Pollution Pollution effects and side effects of agrochemicals on crop plants and forest trees. Other anthropogenic factors Pollution effects. Side effects of agrochemicals Rice risk Risk assessment stomatal conductance Stomatal conductance model Toxicology Yangtze River |
Title | Mapping ozone risks for rice in China for years 2000 and 2020 with flux-based and exposure-based doses |
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