Skip to main content
Log in

Recent changes of rice heat stress in Jiangxi province, southeast China

  • Original Paper
  • Published:
International Journal of Biometeorology Aims and scope Submit manuscript

Abstract

Around the intensity, frequency, duration, accumulated temperature, and even extremes of high-temperature events, nine selected temperature-related indices were used to explore the space and time changes of rice heat stress in Jiangxi province, southeast China. Several statistical methods including Mann–Kendall trend test (M-K test) and principal component analysis (PCA) were used in this study, and main results were listed as follows: (1) The changes in the intensity indices for high-temperature events were more significant, it was mainly embodied in that more than 80 % of stations had positive trends. (2) R-mode PCA was applied to the multiannual average values of nine selected indices of whole stations, and the results showed that the higher hazard for rice heat stress could be mainly detected in the middle and northeast area of Jiangxi. (3) S-mode PCA was applied to the integrated heat stress index series, and the results demonstrated that Jiangxi could be divided into four sub-regions with different variability in rice heat stress. However, all the sub-regions are dominated by increasing tendencies in rice heat stress since 1990. (4) Further analysis indicated that the western north Pacific sub-tropical high (WPSH) had the significant dominant influence on the rice heat stress in Jiangxi province.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Reference

  • Bannayan M, Lotfabadi SS, Sanjani S, et al. (2011) Effects of precipitation and temperature on crop production variability in northeast Iran. Int J Biometeoro l55(3):387–401

    Article  Google Scholar 

  • Casado MJ, Pastor MA, Doblas-Reyes FJ (2009) Euro-Atlantic circulation types and modes of variability in winter. Theor Appl Climatol 96(1–2):17–29

    Article  Google Scholar 

  • Cavazos T, Hewitson BC (2005) Performance of NCEP–NCAR reanalysis variables in statistical downscaling of daily precipitation. Clim Res 28(2):95–107

    Google Scholar 

  • EI-Maayar M, Lange MA (2013) A methodology to infer crop yield response to climate variability and change using long-term observations. Atmosphere 4:365–382

    Article  Google Scholar 

  • Gocic M, Trajkovic S (2014) Spatio-temporal patterns of precipitation in Serbia. Theor Appl Climatol 117(3–4):419–431

    Article  Google Scholar 

  • He ZX, Gong DY (2002) Interdepartmental change in western Pacific subtropical high and climatic effects. J Geogr Sci 12(2):202–209

    Article  Google Scholar 

  • Hua W, Chen H, Li X (2015a) Effects of future land use change on the regional climate in China. Sci China Earth Sci 58(10):1840–1848

    Article  Google Scholar 

  • Hua W, Chen H, Sun S, Zhou L (2015b) Assessing climatic impacts of future land use and land cover change projected with the CanESM2 model. Int J Climatol 35(12):3661–3675

    Article  Google Scholar 

  • Huang J, Sun SL, Zhang JC (2013) Detection of trends in precipitation during 1960–2008 in Jiangxi province, southeast China. Theor Appl Climatol 114:237–251

    Article  Google Scholar 

  • Huang YY, Wang HJ, Fan K, et al. (2014) The western Pacific subtropical high after the 1970s: westward or eastward shift? Clim Dyn 44(7–8):2035–2047

    Google Scholar 

  • Huang J, Xue Y, Su S, Zhang J (2015) Spatial and temporal variability of drought during 1960–2012 in inner Mongolia, north China. Quatern Int 355:134–144

    Article  Google Scholar 

  • Jin Z, Yang T, Li R, Lei Y, Gao S (2009) High temperature induced heat damage and its impacts on early rice yields in Zhejiang province. Chin J Agrometeorol 30:628–631

    Google Scholar 

  • Li C, Wang R (2016) Recent changes of precipitation in Gansu, northwest China: an 8 index-based analysis. Theor Appl Climatol:1–16

  • Liu YY, Li WJ, Zuo JQ, et al. (2014) Simulation and projection of the western pacific subtropical high in CMIP5 models. J Meteorol Res 28(3):327–340

    Article  Google Scholar 

  • Matsumura S, Sugimoto S, Sato T (2015) Recent intensification of the western Pacific subtropical high associated with the east Asian summer monsoon. J Clim 28(7):2873–2883

    Article  Google Scholar 

  • Reghunath R, Murthy TS, Raghavan BR (2002) The utility of multivariate statistical techniques in hydrogeochemical studies: an example from Karnataka, India. Water Res 36(10):2437–2442

    Article  CAS  Google Scholar 

  • Ren YF, Gao P, Wang CY (2010) Impacts of high temperature stress on rice and the causes in Jiangsu province. J Nat Disaster 19:101–107

    Google Scholar 

  • Santos JF, Pulido-Calvo I, Portela MM (2010) Spatial and temporal variability of droughts in Portugal. Water Resour Res 46(3):W03503

    Article  Google Scholar 

  • Shi W, Tao F, Zhang Z (2013) A review on statistical models for identifying climate contributions to crop yields. J Geogr Sci 23(3):567–576

    Article  Google Scholar 

  • Shiau JT, Huang CY (2014) Detecting multi-purpose reservoir operation induced time-frequency alteration using wavelet transform. Water Resour Manag 28(11):3577–3590

    Article  Google Scholar 

  • Sun SL, Chen HS, WM J, et al. (2012) Past and future changes of streamflow in Poyang Lake Basin, southeastern China. Hydrol Earth Syst Sci 16:2005–2020

    Article  Google Scholar 

  • Tang H, Pang J, Zhan G, et al. (2014a) Mapping ozone risks for rice in China for years 2000 and 2020 with flux-based and exposure-based doses. Atmos Environ 86:74–83

    Article  CAS  Google Scholar 

  • Tang CS, Meng MH, Ma FM (2014b) Temporal and spatial variations of extreme high temperature events in Jiangxi from 1959 to 2013. The 31st annual conference of China meteorologic society S4

  • Tao SY, Wei J (2006) The westward, northward advance of the subtropical high over the West Pacific in summer. J Appl Meteor Sci 17(5):512–523

    Google Scholar 

  • Tao FL, Zhang S, Zhang Z (2013) Changes in rice disasters across China in recent decades and the meteorological and agronomic causes. Reg Environ Chang 13(4):743–759

    Article  Google Scholar 

  • Tao H, Fraedrich K, Menz C, et al. (2014) Trends in extreme temperature indices in the Poyang Lake Basin, China. Stoch Environ Res Risk Assess 28(6):1543–1553

    Article  Google Scholar 

  • Teixeira EI, Fischer G, van Velthuizen H, et al. (2013) Global hot-spots of heat stress on agricultural crops due to climate change. Agric For Meteorol 170:206–215

    Article  Google Scholar 

  • Valdés-Manzanilla A (2015) Historical floods in tabasco and Chiapas during sixteenth–twentieth centuries. Nat Hazards:1–15

  • Wang R, Li C (2016) Spatiotemporal analysis of precipitation trends during 1961–2010 in Hubei province, central China. Theor Appl Climatol 124(1–2):385–399

    Article  Google Scholar 

  • Wang P, Zhang Z, Song X, et al. (2014) Temperature variations and rice yields in China: historical contributions and future trends. Clim Chang 124(4):777–789

    Article  Google Scholar 

  • Wang P, Zhan Z, Chen Y, et al. (2015) How much yield loss has been caused by extreme temperature stress to the irrigated rice production in China? Clim Chang:1–16

  • Yang BY, Shen SH, Tao SL, et al. (2012) Spatial and temporal pattern of Rice heat injury in Jiangxi. Chin J Agrometeorol 33(4):615–622

    Google Scholar 

  • Ye TS, Shen Q, Wang K, et al. (2015) Interdecadal change of the northward jump time of the western Pacific subtropical high in association with the Pacific decadal oscillation. J Meteorol Res 29:59–71

    Article  Google Scholar 

  • Yue S, Wang CY (2004) The Mann–Kendall test modified by effective sample size to detect trend in serially correlated hydrological series. Water Resour Manage 18:201–218

  • Zhang Z, Wang P, Chen Y, et al. (2014) Global warming over 1960–2009 did increase heat stress and reduce cold stress in the major rice-planting areas across China. Eur J Agron 59:49–56

    Article  Google Scholar 

  • Zhao J, Guo J, Mu J (2015) Exploring the relationships between climatic variables and climate-induced yield of spring maize in Northeast China. Agr, Ecosyst & Environ 207:79–90

    Article  Google Scholar 

  • Zhou T, Yu R, Zhang J, et al. (2009) Why the western Pacific subtropical high has extended westward since the late 1970s. J Clim 22(8):2199–2215

    Article  Google Scholar 

Download references

Acknowledgments

This paper was mainly supported by the Natural science fund for colleges and universities in Jiangsu Province (16KJB170008), China Special Fund for Meteorological Research in the Public Interest (Major projects) (GYHY201506001-6), Public welfare projects “key technology and demonstration for the vegetation recovery and reconstruction in open-pit mines” (No: 201504406), National Natural Science Foundation of China (No: 31300420), and Natural Science Foundation of Jiangsu (No: BK20130987, BK20151525).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jin Huang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Huang, J., Zhang, F., Xue, Y. et al. Recent changes of rice heat stress in Jiangxi province, southeast China. Int J Biometeorol 61, 623–633 (2017). https://doi.org/10.1007/s00484-016-1239-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00484-016-1239-3

Keywords

Navigation