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Estimating Yield and Economic Losses Induced by Ozone Exposure in South China Based on Full-Coverage Surface Ozone Reanalysis Data and High-Resolution Rice Maps

Author

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  • Jie Pei

    (School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai 519082, China
    Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China, Ministry of Natural Resources, Zhuhai 519082, China)

  • Pengyu Liu

    (School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai 519082, China)

  • Huajun Fang

    (Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    The Zhongke-Ji’an Institute for Eco-Environmental Sciences, Ji’an 343000, China)

  • Xinyu Gao

    (School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai 519082, China)

  • Baihong Pan

    (Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 73019, USA)

  • Haolin Li

    (School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430070, China)

  • Han Guo

    (School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai 519082, China)

  • Feng Zhang

    (Zhuhai Natural Resources Bureau, Zhuhai 519015, China
    College of Agriculture and Animal Husbandry, Qinghai University, Xining 810016, China)

Abstract

Surface ozone (O 3 ) pollution is an emerging environmental abiotic stress that poses substantial risks to crop yield losses and food security worldwide, and especially in China. However, the O 3 -induced detrimental effects on double-season rice have rarely been investigated at large scales and over relatively long temporal spans. In this study, we estimated the crop production reductions and associated economic losses for double-season rice across southern China during 2013–2019, using a high spatial resolution surface ozone reanalysis dataset and rice distribution maps, and county-level production data, in combination with a locally derived exposure-response function for rice. Results show that AOT40 (cumulative hourly O 3 exposure above 40 ppb) presented generally increasing trends over growing seasons in 2013–2019, spanning from 4.0 to 7.1 ppm h and 6.1 to 10.5 ppm h for double-early rice and double-late rice, respectively. Moreover, O 3 -induced relative yield losses ranged from 4.0% to 6.6% for double-early rice and 6.3% to 11.1% for double-late rice. Over the seven years, ambient O 3 exposure resulted in crop production losses of 1951.5 × 10 4 tons and economic losses of 8,081.03 million USD in total. To combat the O 3 -induced agricultural risks, measures such as stringent precursors emission reductions and breeding O 3 -resistant cultivars should be continuously implemented in the future.

Suggested Citation

  • Jie Pei & Pengyu Liu & Huajun Fang & Xinyu Gao & Baihong Pan & Haolin Li & Han Guo & Feng Zhang, 2023. "Estimating Yield and Economic Losses Induced by Ozone Exposure in South China Based on Full-Coverage Surface Ozone Reanalysis Data and High-Resolution Rice Maps," Agriculture, MDPI, vol. 13(2), pages 1-21, February.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:2:p:506-:d:1074757
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    References listed on IDEAS

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    1. Amos P. K. Tai & Maria Val Martin & Colette L. Heald, 2014. "Threat to future global food security from climate change and ozone air pollution," Nature Climate Change, Nature, vol. 4(9), pages 817-821, September.
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