Projection of Heat Injury to Single-Cropping Rice in the Middle and Lower Reaches of the Yangtze River, China under Future Global Warming Scenarios

Springer Science and Business Media LLC - Tập 33 - Trang 363-374 - 2019
Xiaomin Lyu1, Guangsheng Zhou1,2, Mengzi Zhou1, Li Zhou1, Yuhe Ji1
1State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China
2Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science &Technology, Nanjing, China

Tóm tắt

Based on simulation results from the 16 CMIP5 model runs under three Representative Concentration Pathways (RCP2.6, RCP4.5, and RCP8.5) in combination with the recent five years of growth-stage data from agrometeorological observation stations in the middle and lower reaches of the Yangtze River, changes in heat injury and spatial distribution patterns of single-cropping rice in China during the early (2016–35), middle (2046–65), and late (2080–99) 21st century were projected by using quantitative estimations. Relative to the reference period (1986–2005), the occurrence probabilities of heat injury to single-cropping rice under different RCP scenarios increased significantly, showing a trend of mild > moderate > severe. The occurrence probabilities increased with time and predicted emissions, especially the average and maximum occurrence probabilities, which were ~48% and ~80%, respectively, in the late 21st century under the RCP8.5 scenario. The spatial patterns of the occurrence probabilities at each level of heat injury to single-cropping rice did not change, remaining high in the middle planting region and low in the east. The high-value areas were mainly in central Anhui and southeastern Hubei provinces, and the areas extended to the northwest and northeast of the cultivation area over time. Under the RCP2.6, RCP4.5, and RCP8.5 scenarios, the total area of heat injury to single-cropping rice showed a significant linear increasing trend of 7.4 × 103, 19.9 × 103, and 35.3 × 103 ha yr−1, respectively, from 2016 to 2099, and the areas of heat injury were greatest in the late 21 st century, accounting for ~25%, ~40%, and ~59% of the cultivation area.

Tài liệu tham khảo

Anav, A., P. Friedlingstein, M. Kidston, et al., 2013: Evaluating the land and ocean components of the global carbon cycle in the CMIP5 Earth System Models. J. Climate, 26, 6801–6843, doi: 10.1175/JCLI-D-12-00417.1.

Battisti, D.S., and R. L. Naylor, 2009: Historical warnings of future food insecurity with unprecedented seasonal heat. Science, 323, 240–244, doi: 10.1126/science.ll64363.

Betts, R.A., L. Alfieri, C. Bradshaw, et al., 2018: Changes in climate extremes, fresh water availability and vulnerability to food insecurity projected at 1.5°C and 2°C global warming with a higher-resolution global climate model. Philos. Trans. Roy. Soc. A: Math., Phys. Eng. Sci., 376, 20160452, doi: 10.1098/rsta.2016.0452.

Chen, M.P., and E. D. Lin, 2010: Global greenhouse gas emission mitigation under representative concentration pathways scenarios and challenges to China. Adv. Climate Change Res., 6, 436–442, doi: 10.3969/j.issn.l673-1719.2010.06.008. (in Chinese)

Dong, S.Y., Y. Xu, B. T. Zhou, et al., 2014: Projected risk of extreme heat in China based on CMTP5 models. Adv. Climate Change Res., 10, 365–369, doi: 10.3969/j.issn.1673-1719. 2014.05.008. (in Chinese)

General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China, Standardization Administration of China, 2008: GB/T 21985-2008 Temperature index of high temperature harm for main crops. Standards Press of China, Beijing, 4 pp. (in Chinese)

Guo, J.M., Y. Y. Wang, S. T. Li, et al., 2018: Calculation of rice field temperature based on station temperature and its evaluation on heat injury of rice. J. Nat. Disasters, 27, 162–171, doi: 10.13577/j.jnd.2018.0319. (in Chinese)

Guo, Y., W. J. Dong, F. M. Ren, et al., 2013: Assessment of CMTP5 simulations for China annual average surface temperature and its comparison with CMLP3 simulations. Adv. Climate Change Res., 9, 181–186, doi: 10.3969/j.issn.l673-1719.2013.03.004. (in Chinese)

He, B., Z. J. Liu, X. G. Yang, et al., 2017: Temporal and spatial variations of agro-meteorological disasters of main crops in China in a changing climate (II): Drought of cereal crops in Northwest China. Chinese J. Agrometeorol., 38, 31–41, doi: 10.3969/j.issn.1000-6362.2017.01.004. (in Chinese)

Hiwasaki, L., E. Luna, Syamsidik, et al., 2014: Process for integrating local and indigenous knowledge with science for hydro-meteorological disaster risk reduction and climate change adaptation in coastal and small island communities. Int. J. Disast.RiskRe., 10, 15–27, doi: 10.1016/j.ijdrr.2014.07.007.

Hou, W. J., T. Geng, Q. Chen, et al., 2015: Impacts of climate warming on growth period and yield of rice in Northeast China during recent two decades. Chinese J. Appl. Ecol, 26, 249–259, doi: 10.13287/j.1001-9332.2015.0002. (in Chinese)

Hu, X. Y., Y. Huang, W. J. Sun, et al., 2017: Shifts in cultivar and planting date have regulated rice growth duration under climate warming in China since the early 1980s. Agric. Forest Meteor, 247, 34–41, doi: 10.1016/j.agrformet.2017.07.014.

Jiang, Y.M., and H. M. Wu, 2013: Simulation capabilities of 20 CMTP5 models for annual mean air temperatures in central Asia. Progressus Inquisitiones de Mutatione Climatis, 9, 110–116, doi: 10.3969/j.issn.l673-1719.2013.02.005. (in Chinese)

Jiao, H.Y., G. S. Zhou, and Z. Q. Zhang, 2017: Blue Book of Agriculture for Addressing Climate Change: Assessment Report of Agro-meteorological Disasters and Yield Losses in China (No. 2). Social Sciences Academic Press, Beijing, 1–33. (in Chinese)

Lesk, C., P. Rowhani, and N. Ramankutty, 2016: Influence of extreme weather disasters on global crop production. Nature, 529, 84–87, doi: 10.1038/naturel6467.

Li, X.T., J. Chen, and W. Guo, 2018: A review of the influence factors of plant phenology under different climate types. J. Earth Environ., 9, 16–27, doi: 10.7515/JEE181002. (in Chinese)

Li, Y., Y. H. Ding, and W. J. Li, 2017: Observed trends in various aspects of compound heat waves across China from 1961 to 2015. J. Meteor. Res., 31, 455–467, doi: 10.1007/sl3351-017-6150-2.

Lin, Z.H., X. Y. Yang, C. L. Wu, et al., 2018: Capability assessment of CMLP5 models in reproducing observed climatology and decadal changes in summer rainfall with different intensities over eastern China. Climatic Environ. Res., 23, 1–25. (in Chinese)

Liu, J., C. Chen, Y. F. Zhang, et al., 2018: Space-time distribution of high temperature disasters on single-cropping rice during heading-flowering stage and filling-harvest stage in Sichuan Province. Chinese J. Agrometeorol., 39, 46–58, doi: 10.3969/j.issn.1000-6362.2018.01.006. (in Chinese)

Liu, X.C., Q. H. Tang, X. J. Zhang, et al., 2018: Projected changes in extreme high temperature and heat stress in China. J. Meteor. Res., 32, 351–366, doi: 10.1007/sl3351-018-7120-z.

Liu, Y.H., J. M. Feng, and Z. G. Ma, 2014: An analysis of historical and future temperature fluctuations over China based on CMPP5 simulations. Adv. Atmos. Sci., 31, 457–467, doi: 10.1007/s00376-013-3093-0.

Meng, L., C. Y. Wang, and J. Q. Zhang, 2016: Heat injury risk assessment for single-cropping rice in the middle and lower reaches of the Yangtze River under climate change. J. Meteor. Res., 30, 426–443, doi: 10.1007/sl3351-016-5186-z.

Qin, D. H., Z. L. Chen, Y. Luo, et al., 2007: Updated understanding of climate change science. Adv. Climate Change Res., 3, 63–73, doi: 10.3969/j.issn.l673-1719.2007.02.001. (in Chinese)

Sun, Q. H., C. Y. Miao, A. AghaKouchak, et al., 2017: Unraveling anthropogenic influence on the changing risk of heat waves in China. Geophys. Res. Lett., 44, 5078–5085, doi: 10.1002/2017GP073531.

Pao, F.P., and Z. Zhang, 2013: Climate change, high-temperature stress, rice productivity, and water use in eastern China: A new superensemble-based probabilistic projection. J. Appl. Meteor. Climatol, 52, 531–551, doi: 10.1175/JAMC-D-12-0100.1.

Pao, F.P., Z. Zhang, W. J. Shi, et al., 2013: Single rice growth period was prolonged by cultivars shifts, but yield was damaged by climate change during 1981–2009 in China, and late rice was just opposite. Glob. Chang. Biol, 19, 3200–3209, doi: 10.1111/gcb.l2250.

Paylor, K.E., R. J. Stouffer, and G. A. Meehl, 2012: An overview of CMPP5 and the experiment design. Bull. Amer. Meteor. Soc., 93, 485–498, doi: 10.1175/BAMS-D-11-00094.1.

Pokarska, K.B., and N. P. Gillett, 2018: Cumulative carbon emissions budgets consistent with 1.5°C global warming. Nat. Clim. Change, 8, 296–299, doi: 10.1038/s41558-018-0118-9.

Wang, X.H., S. P. Piao, X. P. Xu, et al., 2015: Has the advancing onset of spring vegetation green-up slowed down or changed abruptly over the last three decades? Glob. Ecol. Biogeogr., 24, 621–631, doi: 10.1111/geb.12289.

Wang, Z.Y., 2011: Study of effects of future climate change on rice production in the middle and lower reaches of the Yangtze River. Master dissertation, Nanjing University of Information Science & Pechnology, Nanjing, 52 pp. (in Chinese)

Xie, Z.Q., Y. Du, P. Gao, et al., 2013: Impact of high-temperature on single cropping rice over Yangtze-Huaihe River valley and response measures. Meteor. Mon., 39, 774–781, doi: 10.7519/j.issn.l000-0526.2013.06.014. (in Chinese)

Xiong, W., P. Z. Feng, H. Ju, et al., 2016: Possible impacts of high temperatures on China’s rice yield under climate change. Adv. Earth Sci., 31, 515–528. (in Chinese)

Xu, Y., X. J. Gao, and F. Giorgi, 2010: Upgrades to the reliability ensemble averaging method for producing probabilistic climate-change projections. Climate Res., 41, 61–81, doi: 10.3354/cr00835.

Yang, S.C., S. H. Shen, and S. P. Pao, 2016: Spatiotemporal variation and risk assessment of single-harvest rice heat injury along the middle and lower reaches of Yangtze River. J. Nat. Disasters, 25, 78–85, doi: 10.13577/j.jnd.2016.0209. (in Chinese)

Zhan, M.J., X. C. Pi, H. M. Sun, et al., 2018: Changes in extreme maximum temperature events and population exposure in China under global warming scenarios of 1.5 and 2.0°C: Analysis using the regional climate model COSMO-CPM. J. Meteor. Res., 32, 99–112, doi: 10.1007/sl3351-018-7016-y.

Zhang, Q., Y. X. Zhao, and C. Y. Wang, 2011: Study on the impact of high temperature damage to rice in the lower and middle reaches of the Yangtze River. J. Catastrophol, 26, 57–62, doi: 10.3969/j.issn.1000-811X.2011.04.011. (in Chinese)

Zhang, X.F., D. Y. Wang, F. P. Fang, et al., 2005: Food safety and rice production in China. Research of Agricultural Modernization, 26, 85–88, doi: 10.3969/j.issn.1000-0275.2005. 02.002. (in Chinese)

Zhou, G.S., Q. J. He, and Y. H. Ji, 2016: Advances in the international action and agricultural measurements of adaptation to climate change. J. Appl. Meteor. Sci., 27, 527–533, doi: 10.11898/1001-7313.20160502. (in Chinese)

Zhu, D.F., Y. P. Zhang, H. Z. Chen, et al., 2015: Innovation and practice of high-yield rice cultivation technology in China. Scientia Agricultura Sinica, 48, 3404–3414, doi: 10.3864/j.issn.0578-1752.2015.17.008. (in Chinese)