Abstract
The responses of wheat yield to large-scale atmospheric circulation indices (LACI) were explored in Henan province, north China. With using the annual series of climate-driven yield index (CDYI) extracted from winter wheat yield collected in 17 cites and the monthly series of 15 types of LACI during 1988–2017, the main findings were as follows: (1) this province could be divided into four sub-regions (central-east, west, north, and south Henan) with different CDYI variations; (2) the CDYI in central-east, west, south Henan was dominated by a 3-year oscillation, while the CDYI in north Henan presented a notable 7.5-year oscillation; (3) among the four sub-regions, central-east Henan had the most significant CDYI-LACI relationship, and the higher Nino 1 + 2 in December were a key yield reduction signal; (4) during 2008–2017, the stronger increase of Nino1 + 2_in December had caused the yield decrease in central Henan by 6.58%. In summary, linking wheat yield to LACI anomalies should be instrumental in alleviating the adverse effects of climate change on wheat production.
Similar content being viewed by others
References
Adesina, O. S., & Mohammed, I. (2019). Potential Impact of Climate Change on Wheat Production in Cambridgeshire, UK. Journal of Agricultural Science and Engineering, 5(2), 56–60.
Baigorria, G. A., Hansen, J. W., Ward, N., et al. (2008). Assessing predictability of cotton yields in the southeastern United States based on regional atmospheric circulation and surface temperatures. Journal of Applied Meteorology and Climatology, 47(1), 76–91.
Capra, A., & Scicolone, B. (2012). Spatiotemporal variability of drought on a short–medium time scale in the Calabria Region (Southern Italy). Theoretical and applied climatology, 110(3), 471–488.
Ceglar, A., Turco, M., Toreti, A., & Doblas-Reyes, F. J. (2017). Linking crop yield anomalies to large-scale atmospheric circulation in Europe. Agricultural and forest meteorology, 240, 35–45.
Cheng, L., & Liu, R. (2017). Application of Agronomic Model in Yield Dynamic Prediction of Winter Wheat. Meteorological and Environmental Sciences, 40(2), 28–32. (in Chinese with English abstract).
Chen, C., Lu, W., Sun, X., & Yu, H. (2018a). Regional differences of winter wheat phenophase and grain yields response to global warming in the Huang-Huai-Hai plain in China since 1980s. International Journal of Plant Production, 12(1), 33–41.
Chen, X., Wang, S., Hu, Z., et al. (2018b). Spatiotemporal characteristics of seasonal precipitation and their relationships with ENSO in Central Asia during 1901–2013. Journal of Geographical Sciences, 28(9), 1341–1368.
Domonkos, P., Poza, R., & Efthymiadis, D. (2011). Newest developments of ACMANT. Advances in Science and Research, 6(1), 7–11.
Fang, S. (2011). Exploration of method for discrimination between trend crop yield and climatic fluctuant yield. Journal of Natural Disasters, 20(6), 13–18. (in Chinese with English abstract).
Feng, M. (2008). Study on Meteorological Forecasting Model for Total Grain Production in Hubei Province. Journal of Huazhong Agricultural University, 27(1), 144–147. (in Chinese with English abstract).
Georgiou, P., & Koukouli, P. (2018). Evaluation of Climate Change Impacts on Cotton Yield using Cropsyst and Regression Models. Journal of Advances in Agriculture, 8(1), 1433–1451.
Gao, H., Wang, Y., & He, J. (2006) Weakening significance of ENSO as a predictor of summer precipitation in China. Geophysical Research Letters 33(9).
Hu, C., Li, R., Wang, T., et al. (2018). Forecast Model of Rice Harvest in Liaoning Province. Journal of Arid Meteorology, 36(3), 501–506. (in Chinese with English abstract).
Huang, J., Lei, Y., Zhang, F., & Hu, Z. (2017). Spatio-temporal analysis of meteorological disasters affecting rice, using multi-indices, in Jiangsu province, Southeast China. Food Security, 9(4), 661–672.
Jiao, J., & Kang, W. (2007) Analysis on Regional Characters of the Annual Rainfall in Henan Province. Journal of North China Institute of Water Conservancy and Hydroelectric Power (04):7–10 (in Chinese with English abstract).
Johny, K., Pai, M. L., & Adarsh, S. (2019). Empirical forecasting and Indian Ocean dipole teleconnections of south–west monsoon rainfall in Kerala. Meteorology and Atmospheric Physics, 131(4), 1055–1065.
Johny, K., Pai, M. L., & Adarsh, S. (2020). Adaptive EEMD-ANN hybrid model for Indian summer monsoon rainfall forecasting. Theoretical and Applied Climatology, 141, 1–17.
Kukal, M. S., & Irmak, S. (2018). Climate-Driven Crop Yield and Yield Variability and Climate Change Impacts on the U.S. Great Plains Agricultural Production. Scientific Reports, 8(1), 3450–3450.
Li, W., Zhai, P., & Cai, J. (2011). Research on the relationship of ENSO and the frequency of extreme precipitation events in China. Advances in Climate Change Research, 2(2), 101–107.
Li, Z., Zhu, C., Wu, G., et al. (2015). Spatial pattern and temporal trend of prehistoric human sites and its driving factors in Henan Province, Central China. Journal of Geographical Sciences, 25(9), 1109–1121.
Li, K., Yang, X., Tian, H., et al. (2016). Effects of changing climate and cultivar on the phenology and yield of winter wheat in the North China Plain. International Journal of Biometeorology, 60(1), 21–32.
Li, C., Wang, R., Xu, J., Luo, Y., Tan, M. L., & Jiang, Y. (2018). Analysis of meteorological dryness/wetness features for spring wheat production in the Ili River basin, China. International Journal of Biometeorology, 62(12), 2197–2204.
Liang, L., Li, L., & Liu, Q. (2011). Precipitation variability in Northeast China from 1961 to 2008. Journal of Hydrology, 404(1–2), 67–76.
Liu, W., Chen, H., Yu, W., et al. (2008). Dynamic Output Forecast Research for Winter Wheat Based on Climatic Suitability Index. Meteorological and Environmental Sciences, 31(2), 21–24. (in Chinese with English abstract).
Lu, W., Atkinson, D. E., & Newlands, N. K. (2017). ENSO climate risk: predicting crop yield variability and coherence using cluster-based PCA. Modeling Earth Systems and Environment, 3(4), 1343–1359.
Memarian, H., Bilondi, M. P., Rezaei, M., et al. (2016). Drought prediction using co-active neuro-fuzzy inference system, validation, and uncertainty analysis (case study: Birjand, Iran). Theoretical and Applied Climatology, 125(3), 541–554.
Qiu, R., Liu, C., Cui, N., et al. (2019a). Evapotranspiration estimation using a modified Priestley-Taylor model in a rice-wheat rotation system. Agricultural Water Management, 224, 105755.
Qiu, R., Liu, C., Li, F., et al. (2019b). An investigation on possible effect of leaching fractions physiological responses of hot pepper plants to irrigation water salinity. Bmc Plant Biology, 19(1), 297.
Shi, W., & Tao, F. (2014). Spatio-temporal distributions of climate disasters and the response of wheat yields in China from 1983 to 2008. Natural hazards, 74(2), 569–583.
Shi, B., Zhu, X., Hu, Y., & Yang, Y. (2017). Drought characteristics of Henan province in 1961–2013 based on Standardized Precipitation Evapotranspiration Index. Journal of Geographical Sciences, 27(3), 311–325.
Song, Y., Linderholm, H. W., Wang, C., et al. (2019). The influence of excess precipitation on winter wheat under climate change in China from 1961 to 2017. Science of The Total Environment, 690, 189–196.
Su, M., & Wang, H. (2007). Relationship and its instability of ENSO—Chinese variations in droughts and wet spells. Science in China Series D: Earth Sciences, 50(1), 145–152.
Tan, Y. (2018). Response of winter wheat yield to meteorological factors in Henan Province from 1981 to 2016. Meteorology and Environmental Science, 41(8), 108–116. (in Chinese with English abstract).
Xu, M., Xu, J., Gao, P., et al. (2020). Evaluation of winter wheat yield prediction ability of different statistical models - A case study of Jiangsu wheat-growing region. Chinese Journal of Eco-Agriculture, 28(3), 438–447. (in Chinese with English abstract).
Wang, H., Chen, Y., Pan, Y., et al. (2015). Spatial and temporal variability of drought in the arid region of China and its relationships to teleconnection indices. Journal of hydrology, 523, 283–296.
Weiss, A., Hays, C. J., & Won, J. (2003). Assessing winter wheat responses to climate change scenarios: a simulation study in the US Great Plains. Climatic Change, 58(1–2), 119–147.
Wu, L., Chang, J., & Xu, Y. (2017). Relationship Between the Spring Precipitation in North China and ENSO. Meteorological and Environmental Sciences, 40(1), 21–25. (in Chinese with English abstract).
Yang, R. (2016). Climate yield of Winter Wheat in Henan Province Based on artificial neural network. [D]. Shaanxi: Shaanxi Normal University. (in Chinese with English abstract).
Yu, S., Yin, S., Zhang, R., et al. (2020). Spatiotemporal characterization and regional contributions of O3 and NO2: An investigation of two years of monitoring data in Henan, China. Journal of Environmental Sciences, 90, 29–40.
Zhang, B., Liang, A., Wei, Z., et al. (2019). No-tillage leads to a higher resistance but a lower resilience of soil multifunctionality than ridge tillage in response to dry-wet disturbances. Soil & Tillage Research, 195, 104376.
Zhao, D., Wang, Y., Ren, C., et al. (2017). Comparative analysis of three fitting methods of rice trend yield. Chinese Journal of Eco-Agriculture, 25(3), 345–355. (in Chinese with English abstract).
Zhao, J., Guo, J., & Mu, J. (2015). Exploring the relationships between climatic variables and climate-induced yield of spring maize in Northeast China. Agriculture, Ecosystems & Environment, 207, 79–90.
Zheng, F., Wang, H., Luo, H., et al. (2020). Decadal change in ENSO related seasonal precipitation over southern China under influences of ENSO and its combination mode. Climate Dynamics, 54(3–4), 1973–1986.
Zhou, M., Wang, H., Yang, S., et al. (2013). Influence of springtime North Atlantic Oscillation on crops yields in Northeast China. Climate dynamics, 41(11–12), 3317–3324.
Zhou, B., Sanz-Sáez, Á, Elazab, A., et al. (2014). Physiological traits contributed to the recent increase in yield potential of winter wheat from Henan Province, China. Journal of integrative plant biology, 56(5), 492–504.
Zhou, M., Wang, H., & Huo, Z. (2017). A new prediction model for grain yield in Northeast China based on spring North Atlantic Oscillation and late-winter Bering Sea ice cover. Journal of Meteorological Research, 31(2), 409–419.
Acknowledgements
This paper is mainly supported by Jiangsu Agriculture Science and Technology Innovation Fund (Grant No. CX(17)1004), Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), CMA/Henan Key Laboratory of Agro-meteorological Support and Applied Technique (AMF202006), National Key Research and Development Program (2018YFD0300905).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declared that they have no conflict of interest.
Rights and permissions
About this article
Cite this article
Chen, J., Tian, H., Huang, J. et al. Climate-driven Yield Variability for Winter Wheat in Henan Province, North China and its Relation to Large-scale Atmospheric Circulation Indices. Int. J. Plant Prod. 15, 79–91 (2021). https://doi.org/10.1007/s42106-020-00119-z
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s42106-020-00119-z