Skip to main content

Advertisement

Log in

Spatial–temporal changes in meteorological and agricultural droughts in Northeast China: change patterns, response relationships and causes

  • Original Paper
  • Published:
Natural Hazards Aims and scope Submit manuscript

Abstract

Under the background of climate warming, drought events occur frequently. Generally, meteorological drought leads to agricultural drought. Understanding the spatiotemporal distribution, characteristics of drought and the relationship between meteorological and agricultural drought are important for early drought warning. Northeast China (NEC) was selected as the study area. The spatiotemporal characteristics of meteorological drought and agricultural drought in different seasons in NEC were analyzed. Correlation analysis was employed to analyze the relationship between meteorological and agricultural drought in different vegetation types. Furthermore, cross-wavelet analysis was employed to further analyze the relationship between meteorological drought and agricultural drought, explore the teleconnection and large-scale climate patterns and investigate possible causes of drought variations in this region. The results showed that (1) the frequency of mild meteorological drought and low and that of moderate agricultural drought was high; (2) there was a significant positive correlation between meteorological drought and agricultural drought, while the change in agricultural drought lagged behind that of meteorological drought. (3) A strong correlation between meteorological drought and agricultural drought was identified in cropland areas. (4) The El Niño Southern Oscillation and Pacific interannual oscillation were important factors affecting the changes in meteorological drought and agricultural drought NEC. The results provide scientific ground for the sustainable development of agriculture, drought monitoring and early warning, disaster prevention and mitigation in NEC.

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.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  • Bae H, Ji H, Lim YJ, Ryu Y, Kim MH, Kim BJ (2019) Characteristics of drought propagation in South Korea: relationship between meteorological, agricultural, and hydrological droughts. Nat Hazards 99:1–16

    Article  Google Scholar 

  • Barker LJ, Hannaford J, Chiverton A, Svensson C (2016) From meteorological to hydrological drought using standardised indicators. Hydrol Earth Syst Sci 20(6):2483–2505

    Article  Google Scholar 

  • Dai M, Huang SZ, Huang Q, Leng GY, Guo Y, Wang L, Fang W, Li P, Zheng XD (2020) Assessing agricultural drought risk and its dynamic evolution characteristics. Agric Water Manag 231:106003

    Article  Google Scholar 

  • Ding YB, Gong XL, Xing ZX, Cai HJ, Zhou ZQ, Zhang DD, Sun P, Shi HY (2021a) Attribution of meteorological, hydrological and agricultural drought propagation in different climatic regions of China. Agric Water Manag 255:106996

    Article  Google Scholar 

  • Ding YB, Xu JT, Wang XW, Cai HJ, Zhou ZQ, Sun YN, Shi HY (2021b) Propagation of meteorological to hydrological drought for different climate regions in China. J Environ Manag 283:111980

    Article  Google Scholar 

  • Ding Y, Xu J, Wang X, Peng X, Cai H (2020) Spatial and temporal effects of drought on Chinese vegetation under different coverage levels. Sci Total Environ 716:137166

    Article  Google Scholar 

  • Fang W, Huang SZ, Huang Q, Huang GH, Wang H, Leng GY, Wang L (2020) Identifying drought propagation by simultaneously considering linear and nonlinear dependence in the Wei River basin of the Loess Plateau, China. J Hydrol 591:125287

    Article  Google Scholar 

  • Fang W, Huang SZ, Huang GH, Huang Q, Wang H, Wang L, Zhang Y, Li P, Ma L (2019) Copulas-based risk analysis for inter-seasonal combinations of wet and dry conditions under a changing climate. Int J Climatol 39(4):2005–2021

    Article  Google Scholar 

  • Fu Q, Zhou ZQ, Li TX, Liu D, Hou RJ, Cui S, Yan PR (2018) Spatiotemporal characteristics of droughts and floods in northeastern China and their impacts on agriculture. Stoch Env Res Risk Assess 30(10):2913–2931

    Article  Google Scholar 

  • Grinsted A, Moore JC, Jevrejeva S (2004) Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlinear Process Geophys 11:561–566

    Article  Google Scholar 

  • Han ZM, Huang SZ, Huang Q, Leng GY, Wang H, Bai QJ, Zhao J, Ma L, Wang L, Du M (2019) Propagation dynamics from meteorological to groundwater drought and their possible influence factors. J Hydrol 578:124104

    Article  Google Scholar 

  • Hao C, Zhang J, Yao F (2015) Combination of multi-sensor remote sensing data for drought monitoring over southwest china. Int J Appl Earth Obs Geoinf 35:270–283

    Google Scholar 

  • Hou Y, Zheng F, Mu HX (2017) Application of global SPEI database and its multi-scale correlation with circulation factors. J Water Resour Res 6(1):9–17 (in Chinese)

    Article  Google Scholar 

  • Huang SZ, Huang Q, Chang JX, Leng GY, Xing L (2015) The response of agricultural drought to meteorological drought and the influencing factors: a case study in the Wei River Basin, China. Agric Water Manag 159:45–54

    Article  Google Scholar 

  • Huang SZ, Li P, Huang Q, Leng GY, Hou BB, Ma L (2017) The propagation from meteorological to hydrological drought and its potential influence factors. J Hydrol 547:184–195

    Article  Google Scholar 

  • Hu ZY, Zhou QM, Chen X, Li JF, Li QX, Chen DL, Liu WB, Yin G (2018) Evaluation of three global gridded precipitation data sets in central Asia based on rain gauge observations. Int J Climatol 38(9):3475–3493

    Article  Google Scholar 

  • Hudgins L, Friehe CA, Mayer ME (1993) Wavelet transforms and atmospheric turbulence. Phys Rev Lett 71:3279–3282

    Article  Google Scholar 

  • Jiang XY, Liu SH, Ma MM, Zhang J (2009) A wavelet analysis of the precipitation time series in Northeast China during the last 100 years. Adv Clim Change Res 4(2):1673–1719 (in Chinese)

    Google Scholar 

  • Li QF, He PF, He YC, Han XY, Zeng TS, Lu GB, Wang HJ (2020) Investigation to the relation between meteorological drought and hydrological drought in the upper Shaying River Basin using wavelet. Atmos Res 234:104743

    Article  Google Scholar 

  • Leng GY, Tang QH, Rayburg S (2015) Climate change impacts on meteorological, agricultural and hydrological droughts in China. Global Planet Change 126:23–34

    Article  Google Scholar 

  • Luo G, Ruan T, Chen C, Gao C, Li P, Ma SG, Li HL, Wang H (2020) Agricultural drought and its association with meteorological drought: a case study of the Huaihe River Basin above the Bengbu Sluice, China. J Natl Resour 35(4):977–991 (in Chinese)

    Google Scholar 

  • Mishra AK, Singh VP (2010) A review of drought concepts. J Hydrol 391(1–2):202–216

    Article  Google Scholar 

  • Pearson K (1895) Notes on regression and inheritance in the case of two parents. Proc R Soc Lond 58(1):240–242

    Google Scholar 

  • Qin ZH, Tang HJ, Li WJ, Zhang H, Zhao SH, Wang Q (2014) Modelling impact of agro-drought on grain production in China. Int J Disaster Risk Reduct 7:109–121

    Article  Google Scholar 

  • Satter MN, Lee JY, Shin JY, Kim TW (2019) Probabilistic characteristics of drought propagation from meteorological to hydrological drought in South Korea. Water Resour Manag 33:2439–2452

    Article  Google Scholar 

  • Shi HY, Chen J, Li TJ, Wang GQ (2020) A new method for estimation of spatially distributed rainfall through merging satellite observations, raingauge records, and terrain digital elevation model data. J Hydro-Environ Res 28:1–14

    Article  Google Scholar 

  • Tao R, Zhang K (2020) PDSI-based analysis of characteristics and spatiotemporal changes of meteorological drought in China from 1982 to 2015. Water Resour Protect 36(5):50–56 ((in Chinese))

    Google Scholar 

  • Tian D, Asseng S, Martinez CJ, Misra V, Cammarano D, Ortiz BV (2015) Does decadal climate variation influence wheat and maize production in the southeast USA? Agric for Meteorol 204:1–9

    Article  Google Scholar 

  • Torrence C, Compo GP (1998) A practical guide to wavelet analysis. Bull Am Meteor Soc 79(1):61–78

    Article  Google Scholar 

  • Varela V, Vlachogiannis D, Sfetsos A, Karozis S, Politi N, Giroud F (2019) Projection of forest fire danger due to climate change in the French Mediterranean region. Sustainability 11(16):4284

    Article  Google Scholar 

  • Van der Schrier G, Barichiivich J, Briffa KR, Jones PD (2013) A scPDSI-based global data set of dry and wet spells for 1901–2009. J Geophys Res Atmos 118(10):4025–4048

    Article  Google Scholar 

  • Vicente-Serrano SM, Gouveia C, Camarero JJ et al (2013) Response of vegetation to drought time-scales across global land biomes. Proc Natl Acad Sci 110(1):52–57

    Article  Google Scholar 

  • Vicente-Serrano SM, Begueria S, Lopez-Moreno JI, Angulo M, EI Kenawy A (2010) A new global 0.5 degrees gridded dataset (1901–2006) of a multiscalar drought index: Comparison with current drought index datasets based on the palmer drought severity index. J Hydrometeorol 11(4):1033–1043

    Article  Google Scholar 

  • Wang T, Tu XJ, Singh VP, Chen XH, Lin KR (2021) Global data assessment and analysis of drought characteristics based on CMIP6. J Hydrol 596:126091

    Article  Google Scholar 

  • Wang YF, Liu GX, Guo EL (2019) Spatial distribution and temporal variation of drought in Inner Mongolia during 1901–2014 using standardized precipitation evapotranspiration index. Sci Total Environ 654:850–862

    Article  Google Scholar 

  • Wang H, Chen Y, Pan Y, Li W (2015) Spatial and temporal variability of drought in the arid region of China and its relationships to teleconnection indices. J Hydrol 523:283–296

    Article  Google Scholar 

  • Wei W, Zhang J, Zhou L, Xie BB, Zhou JJ, Li CH (2021) Comparative evaluation of drought indices for monitoring drought based on remote sensing data. Environ Sci Pollut Res 28(16):20408–20425

    Article  Google Scholar 

  • Wells N, Goddard S, Hayes MJ (2004) A Self-calibrating palmer drought severity index. J Clim 17(12):2335–2351

    Article  Google Scholar 

  • Wu JF, Chen XH, Yao HX, Zhang DJ (2021) Multi-timescale assessment of propagation thresholds from meteorological to hydrological drought. Sci Total Environ 765:144232

    Article  Google Scholar 

  • Wu MJ, Li Y, Hu W, Yao N, Li LC, Liu DL (2020) Spatiotemporal variability of standardized precipitation evapotranspiration index in mainland China over 1961–2016. Int J Climatol 40(11):4781–4799

    Article  Google Scholar 

  • Wu J, Miao C, Zheng H, Duan Q, Lei X, Li H (2018) Meteorological and hydrological drought on the Loess Plateau, China: evolutionary characteristics, impact, and propagation. J Geophys Res Atmosp 123(11):569–11584

    Google Scholar 

  • Xu Y, Zhang X, Wang X, Hao ZC, Singh VP, Hao FH (2019) Propagation from meteorological drought to hydrological drought under the impact of human activities: a case study in northern China. J Hydrol 579:124147

    Article  Google Scholar 

  • Yao N, Li Y, Peng LL (2020) Influence of the accuracy of reference crop evapotranspiration on drought monitoring using standardized precipitation evapotranspiration index in mainland China. Land Degrad Dev 31:266–282

    Article  Google Scholar 

  • Yao N, Li Y, Lei TJ, Peng LL (2018) Drought evolution, severity and trends in mainland China over 1961–2013. Sci Total Environ 616–617:73–89

    Article  Google Scholar 

  • Yao JQ, Mao WY, Hu WF, Chen J, Fan YT (2019) A dataset of drought indices based on the standardized precipitation evapotranspiration index (SPEI) over Xinjiang, China (1961–2015). China Sci Data 4(3):112–121 (in Chinese)

    Google Scholar 

  • Zhao HY, Gao G, An W, Zou XL, Li HT, Hou MT (2017) Timescale differences between sc-PDSI and SPEI for drought monitoring in China. Phys Chem Earth 102:48–58

    Article  Google Scholar 

  • Zhou KK, Li JZ, Zhang T, Kang AQ (2021a) The use of combined soil moisture data to characterize agricultural drought conditions and the relationship among different drought types in China. Agric Water Manag 243:106479

    Article  Google Scholar 

  • Zhou ZQ, Shi HY, Fu Q, Ding YB, Li TX, Wang Y, Liu SN (2021b) Characteristics of propagation from meteorological drought to hydrological drought in the Pearl River Basin. J Geophys Res Atmosp 126(4):3e2020JD033959

    Google Scholar 

  • Zhou ZQ, Shi HY, Fu Q, Li TX, Gan TY, Liu SN (2020a) Assessing spatiotemporal characteristics of drought and its effects on climate-induced yield of maize in Northeast China. J Hydrol 588:125097

    Article  Google Scholar 

  • Zhou ZQ, Shi HY, Fu Q, Li TX, Gan TY, Liu SN, Liu K (2020b) Is the cold region in Northeast China still getting warmer under climate change impact? Atmosp Res 237:104864

    Article  Google Scholar 

  • Zhu LJ, Cooper DJ, Han SJ, Yang JW, Zhang YD, Li ZS, Zhao HY, Wang XC (2021) Influence of the atlantic multidecadal oscillation on drought in northern Daxing’an Mountains, Northeast China. CATENA 198:105017

    Article  Google Scholar 

Download references

Acknowledgements

This study was supported by the basic scientific research project of Heilongjiang Province (2018-KYYWF-1570).

Author information

Authors and Affiliations

Authors

Contributions

CD, JC contributed to methodology; CD, TN contributed to formal analysis; CD contributed to validation, supervision, writing—original draft, writing—review and editing.

Corresponding author

Correspondence to Tangzhe Nie.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Du, C., Chen, J., Nie, T. et al. Spatial–temporal changes in meteorological and agricultural droughts in Northeast China: change patterns, response relationships and causes. Nat Hazards 110, 155–173 (2022). https://doi.org/10.1007/s11069-021-04940-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11069-021-04940-1

Keywords

Navigation