Identification and Spatiotemporal Characteristic Analysis of Compound Weather and Climate Extremes for Maize in Different Climate Zones of the Songliao Plain

Abstract

Due to global climate anomalies, the intensity and spatial extent of weather and climate extremes have increased notably. Therefore, extreme events must be studied to ensure agricultural production. In this study, the growing season accumulated temperature above 10 °C (GSAT₁₀) was used as the climate regionalization index for maize in the Songliao Plain region, and the study area was divided into three climate zones. The standardized precipitation requirement index (SPRI) and standardized temperature index (STI) were introduced to analyze the spatial and temporal patterns of drought, waterlogging, and heat during the maize growing season from May to September using meteorological station data from the Songliao Plain between 1991 and 2020. The compound event magnitude indices were constructed by modeling the marginal distribution to detect the patterns of compound drought and heat events (CDHEs) and compound waterlogging and heat events (CWHEs), and to assess their potential impacts on maize production. The results show that: (1) The major meteorological disasters in the Songliao Plain region were drought and heat. The areas with prolonged high temperatures were similar to the areas with higher severity of temperature extremes, and were mainly concentrated in the central and southern parts of the study area (Zone 3). (2) The CWHEs mainly occurred in the northern part of the study area (Zones 1 and 2), and the CDHEs predominantly occurred in the central and southern parts of the study area. (3) For most sites on the Songliao Plain, the duration, severity, and intensity of compound extreme events were positively correlated with relative meteorological yield (Y _w). Maize yield reduction was significantly affected by the CDHEs.

References

[] AghakouchakA, ChengL, MazdiyasniO, FarahmandA. Global warming and changes in risk of concurrent climate extremes: Insights from the 2014 California drought. Geophysical Research Letters, 2014, 41(24): 8847-8852

[] BaiF, YangX, LiuZ, SunS, ZhangZ, WangX, GaoJ, LiuT. Effects of sowing dates on grain yield of spring maize in the Three-Province of the Northeast China under climate change. Chinese Journal of Eco-Agriculture, 2020, 28(4): 480-491 (in Chinese)

[] Chen, Y., Z. Liao, Y. Shi, Y. Tian, and P. Zhai. 2021. Detectable increases in sequential flood-heatwave events across China during 1961–2018. Geophysical Research Letters 48(6): Article e2021GL092549.

[] FengS, HaoZ, ZhangX, HaoF. Probabilistic evaluation of the impact of compound dry-hot events on global maize yields. Science of the Total Environment, 2019, 689: 1228-1234

[] Feng, S., X. Wu, Z. Hao, Y. Hao, X. Zhang, and F. Hao. 2020. A database for characteristics and variations of global compound dry and hot events. Weather and Climate Extremes 30: Article 100299.

[] Guo, S., E. Guo, Z. Zhang, M. Dong, X. Wang, Z. Fu, K. Guan, W. Zhang, et al. 2022. Impacts of mean climate and extreme climate indices on soybean yield and yield components in Northeast China. Science of the Total Environment 838: Article 156284.

[] Guo, Y., X. Lu, J. Zhang, K. Li, R. Wang, G. Rong, X. Liu, and Z. Tong. 2022. Joint analysis of drought and heat events during maize (Zea mays L.) growth periods using copula and cloud models: A case study of Songliao Plain. Agricultural Water Management 259: Article 107238.

[] Guo, Y., J. Zhang, K. Li, H. Aru, Z. Feng, X. Liu, and Z. Tong. 2023. Quantifying hazard of drought and heat compound extreme events during maize (Zea mays L.) growing season using magnitude index and copula. Weather and Climate Extremes 40: Article 100566.

[] Hou, P., Y. Liu, W. Liu, H. Yang, R. Xie, K. Wang, B. Ming, G. Liu, et al. 2021. Quantifying maize grain yield losses caused by climate change based on extensive field data across China. Resources Conservation and Recycling 174: Article 105811.

[] HuangY. Analysis of the impact of drought and flood disasters on China’s grain production. China Agricultural Information, 2015, 174(6): 41-44 (in Chinese)

[] JiaJ, GuoJ. Characteristics of climate change in Northeast China for last 46 years. Journal of Arid Land Resources and Environment, 2011, 25(10): 109-115 (in Chinese)

[] JiaoM, LiJ, ChenP, WangY, LiuD. Analysis of circulation characteristics and cause of anomalous high temperature and drought in summer of 2018 over Liaoning. Transactions of Atmospheric Sciences, 2019, 42(4): 571-580 (in Chinese)

[] LiY, LyuH. Effect of agricultural meteorological disasters on the production corn in the Northeast China. Acta Agronomica Sinica, 2022, 48(6): 1537-1545 in Chinese)

[] LiX, ShaoJ, YuW, LiuP, ZhaoB, ZhangJ, RenB. Combined effects of high temperature and drought on yield and photosynthetic characteristics of summer maize. Scientia Agricultura Sinica, 2022, 55(18): 3516-3529 (in Chinese)

[] LiX, WenR, WangL, CaiK, LiX, LiB, GaoX, XuM. Analysis of agricultural climatic factors of maize planting and study on fine climatic zoning in Liaoning Province. Journal of Maize Science, 2022, 30(3): 126-134 (in Chinese)

[] Liao, Z., Y. Chen, W. Li, and P. Zhai. 2021. Growing threats from unprecedented sequential flood-hot extremes across China. Geophysical Research Letters 48(18): Article e2021GL094505.

[] Ling, M., H. Han, X. Hu, Q. Xia, and X. Guo. 2023. Drought characteristics and causes during summer maize growth period on Huang-Huai-Hai Plain based on daily scale SPEI. Agricultural Water Management 280: Article 108198.

[] Liu, M., Y. Yin, X. Wang, X. Ma, Y. Chen, and W. Chen. 2022. More frequent, long-lasting, extreme and postponed compound drought and hot events in eastern China. Journal of Hydrology 614: Article 128499.

[] LiuK, JiangD. Analysis of dryness/wetness over China using standardized precipitation evapotranspiration index based on two evapotranspiration algorithms. Chinese Journal of Atmospheric Sciences, 2015, 39(1): 23-36 (in Chinese)

[] LobellDB, BaenzigerM, MagorokoshoC, VivekB. Nonlinear heat effects on African maize as evidenced by historical yield trials. Nature Climate Change, 2011, 1(1): 42-45

[] LobellDB, SibleyA, Ivan Ortiz-MonasterioJ. Extreme heat effects on wheat senescence in India. Nature Climate Change, 2012, 2(3): 186-189

[] LobellDB, HammerGL, McleanG, MessinaC, RobertsMJ, SchlenkerW. The critical role of extreme heat for maize production in the United States. Nature Climate Change, 2013, 3(5): 497-501

[] LuJ, YanJ, LiY. The temporal variation characteristics of drought in Yunnan-Guizhou area during 1960 to 2014 based on SPEI and runlength theory. Journal of Zhejiang University, 2018, 45(3): 363-372 (in Chinese)

[] Pascual-Seva, N., and B. Pascual. 2021. Determination of crop coefficient for chufa crop (Cyperus esculentus L. var. sativus Boeck.) for sustainable irrigation scheduling. Science of the Total Environment 768: Article 144975.

[] Ren, B., J. Zhang, S. Dong, P. Liu, and B. Zhao. 2016. Effects of duration of waterlogging at different growth stages on grain growth of summer maize (Zea mays L.) under field conditions. Journal of Agronomy and Crop Science 202(6): 564–575.

[] Shao, J., Q. Wang, P. Liu, B. Zhao, W. Han, J. Zhang, and B. Ren. 2024. The complex stress of waterlogging and high temperature accelerated maize leaf senescence and decreased photosynthetic performance at different growth stages. Journal of Agronomy and Crop Science 210(2): Article 12.

[] ShiJ, CuiL, GuY, TangP. Advances in compound extreme events in the context of climate change. Advance in Earth Sciences, 2023, 38(8): 771-779 (in Chinese)

[] WeiS, LiK, ZhangJ, YangY, LiuC, WangC. Hazard assessment of peanut drought and flood disasters in Huang-Huai-Hai region. Journal of Applied Meteorological Science, 2021, 32(5): 629-640 (in Chinese)

[] WuX, HaoZ, ZhangX, HaoF. Distribution and trend of compound hot and dry events during summer in China. Water Resources and Hydropower Engineering, 2021, 52(12): 90-98 (in Chinese)

[] Wu, X., Z. Hao, F. Hao, V.P. Singh, and X. Zhang. 2019. Dry-hot magnitude index: A joint indicator for compound event analysis. Environmental Research Letters 14(6): Article 064017.

[] Wu, X., Z. Hao, X. Zhang, C. Li, and F. Hao. 2020. Evaluation of severity changes of compound dry and hot events in China based on a multivariate multi-index approach. Journal of Hydrology 583: Article 124580.

[] Wu, Y., C. Miao, Y. Sun, A. Aghakouchak, C. Shen, and X. Fan. 2021. Global observations and CMIP6 simulations of compound extremes of monthly temperature and precipitation. Geohealth 5: Article e2021GH000390.

[] Yang, Y., K. Li, S. Wei, S. Guga, J. Zhang, and C. Wang. 2022. Spatial-temporal distribution characteristics and hazard assessment of millet drought disaster in northern China under climate change. Agricultural Water Management 272: Article 107849.

[] Ye, L., K. Shi, Z. Xin, C. Wang, and C. Zhang. 2019. Compound droughts and heat waves in China. Sustainability 11(12): Article 14.

[] YeM, GuoJ, YuanB, ZhaoJ. Thermal resources and maize temperature suitability in Northeast China under climate change. Chinese Journal of Applied Ecology, 2012, 23(10): 2786-2794 (in Chinese)

[] YinX, WangM, KongQ, WangZ, ZhangH, ChuQ, WenX, ChenF. Impacts of high temperature on maize production and adaptation measures in Northeast China. Chinese Journal of Applied Ecology, 2015, 26(1): 186-198 (in Chinese)

[] YuR, ZhaiP. Advances in scientific understanding on compound extreme events. Transactions of Atmospheric Sciences, 2021, 44(5): 645-649 (in Chinese)

[] YueS, PilonP, CavadiasG. Power of the Mann-Kendall and Spearman’s rho tests for detecting monotonic trends in hydrological series. Journal of Hydrology, 2002, 264(1–4): 262-263

[] Zaidi, P.H., S. Rafique, P.K. Rai, N.N. Singh, and G. Srinivasan. 2004. Tolerance to excess moisture in maize (Zea mays L.): Susceptible crop stages and identification of tolerant genotypes. Field Crops Research 90(2–3): 189–202.

[] ZhangL, ZhangS, GuoH, WangP, WangD, LiJ. Variations and effects of agricultural climatic resources in suitable growth period of spring maize in Northeast China. Acta Agriculturae Jiangxi, 2018, 30(2): 93-99 (in Chinese)

[] Zhao, L., C. Li, T. Liu, X. Wang, and S. Seng. 2012a. Effect of high temperature during flowering on photosynthetic characteristics and grain yield and quality of different genotypes of maize (Zea Mays L.). Scientia Agricultura Sinica 45(23): 4947–4958 (in Chinese).

[] Zhao, L., C. Li, T. Liu, X. Wang, S. Seng, and X. Pan. 2012b. Genotypic responses and physiological mechanisms of maize (Zea mays L.) to high temperature stress during flowering. Acta Agronomica Sinica 38(5): 857–864 (in Chinese).

[] Zhao, Y., M. Na, Y. Guo, X. Liu, Z. Tong, J. Zhang, and C. Zhao. 2023. Dynamic vulnerability assessment of maize under low temperature and drought concurrent stress in Songliao Plain. Agricultural Water Management 286: Article 108400.

[] Zhou, P., and Z. Liu. 2018. Likelihood of concurrent climate extremes and variations over China. Environmental Research Letters 13(9): Article 10.

[] ZhouBT, QianJ. Changes of weather and climate extremes in the IPCC AR6. Climate Change Research, 2021, 17(6): 713-718 (in Chinese)

[] ZscheischlerJ, WestraS, Van Den HurkBJJM, SeneviratneSI, WardPJ, PitmanA, AghakouchakA, BreschDN, et al. . Future climate risk from compound events. Nature Climate Change, 2018, 8(6): 469-477

[] ZscheischlerJ, MartiusO, WestraS, BevacquaE, RaymondC, HortonRM, Van Den HurkB, AghakouchakA, et al. . A typology of compound weather and climate events. Nature Reviews Earth & Environment, 2020, 1(7): 333-347

[] Zscheischler, J., J. Sillmann, and L. Alexander. 2022. Introduction to the special issue: Compound weather and climate events. Weather and Climate Extremes 35: Article 100381.