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
Surface ozone (O<sub>3</sub>) 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<sub>3</sub>-induced detrimental effects on double-season rice have rarely...
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MDPI AG
2023-02-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/13/2/506 |
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| author | Jie Pei Pengyu Liu Huajun Fang Xinyu Gao Baihong Pan Haolin Li Han Guo Feng Zhang |
| author_facet | Jie Pei Pengyu Liu Huajun Fang Xinyu Gao Baihong Pan Haolin Li Han Guo Feng Zhang |
| author_sort | Jie Pei |
| collection | DOAJ |
| description | Surface ozone (O<sub>3</sub>) 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<sub>3</sub>-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<sub>3</sub> 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<sub>3</sub>-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<sub>3</sub> exposure resulted in crop production losses of 1951.5 × 10<sup>4</sup> tons and economic losses of 8,081.03 million USD in total. To combat the O<sub>3</sub>-induced agricultural risks, measures such as stringent precursors emission reductions and breeding O<sub>3</sub>-resistant cultivars should be continuously implemented in the future. |
| first_indexed | 2024-03-11T09:17:59Z |
| format | Article |
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| institution | Directory Open Access Journal |
| issn | 2077-0472 |
| language | English |
| last_indexed | 2024-03-11T09:17:59Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj.art-7d23b9523a974fe7be0e4bc5f16bcb5c2023-11-16T18:32:11ZengMDPI AGAgriculture2077-04722023-02-0113250610.3390/agriculture13020506Estimating Yield and Economic Losses Induced by Ozone Exposure in South China Based on Full-Coverage Surface Ozone Reanalysis Data and High-Resolution Rice MapsJie Pei0Pengyu Liu1Huajun Fang2Xinyu Gao3Baihong Pan4Haolin Li5Han Guo6Feng Zhang7School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai 519082, ChinaSchool of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai 519082, ChinaKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaSchool of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai 519082, ChinaDepartment of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 73019, USASchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430070, ChinaSchool of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai 519082, ChinaZhuhai Natural Resources Bureau, Zhuhai 519015, ChinaSurface ozone (O<sub>3</sub>) 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<sub>3</sub>-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<sub>3</sub> 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<sub>3</sub>-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<sub>3</sub> exposure resulted in crop production losses of 1951.5 × 10<sup>4</sup> tons and economic losses of 8,081.03 million USD in total. To combat the O<sub>3</sub>-induced agricultural risks, measures such as stringent precursors emission reductions and breeding O<sub>3</sub>-resistant cultivars should be continuously implemented in the future.https://www.mdpi.com/2077-0472/13/2/506riceyield lossabiotic stressozone exposurefood security |
| spellingShingle | Jie Pei Pengyu Liu Huajun Fang Xinyu Gao Baihong Pan Haolin Li Han Guo Feng Zhang 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 rice yield loss abiotic stress ozone exposure food security |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | rice yield loss abiotic stress ozone exposure food security |
| url | https://www.mdpi.com/2077-0472/13/2/506 |
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