Spatiotemporal differences in the climatic growing season in the Qinling Mountains of China under the influence of global warming from 1964 to 2015

  • Chenhui DengEmail author
  • Hongying Bai
  • Xinping Ma
  • Ting Zhao
  • Shan Gao
  • Xiaoyue Huang
Original Paper


Based on daily mean temperature data from 32 meteorological stations in the Qinling Mountains (QMs) of China, we analyzed the characteristics and differences of the spatiotemporal changes in the climatic growing season (CGS) in the QMs from 1964 to 2015. Our results are as follows. First, over the past 52 years, the temperature of the QMs significantly increased at a mean rate of 0.22 °C/decade (P < 0.01) in over 98.04% of the area. Significant north–south spatial differences were observed in temperature changes; also, significant differences in the temperature changing trends were observed before and after the abrupt change in temperature. Second, the spatial distributions of the mean growing season start (GSS), end (GSE), and length (GSL) in the QMs varied based on regional differences in latitude and topography. Notably, the GSS, GSE, and GSL were gradually delayed, advanced, and shortened, respectively, as latitude and elevation increased. After the abrupt change in temperature, whether it is in the NSQM (northern slopes of the QMs) or the SSQM (southern slopes of the QMs), the GSS, GSE, and GSL expanded into high-elevation areas. Third, over the past 52 years, the GSS in the QMs exhibited a significant advancing trend of 2.7 days/decade, the GSE was delayed at a rate of 0.66 days/decade, and the GSL displayed a significant extension of 3.36 days/decade. Before the abrupt change in temperature, the GSS, GSE, and GSL exhibited non-significant changing trends; however, the trends in the GSS, GSE, and GSL were more significant after the abrupt change than before. Fourth, the GSS, GSE, and GSL trends in the QMs were significantly different in the NSQM and SSQM regions. After the abrupt change, the GSS, GSE, and GSL trends along the NSQM were more significant than those along the SSQM.


Funding information

This study has been funded by a General Program from China’s Shaanxi Province Scientific Research and Development Plan (No. 2016JM4022) as well as the National Forestry Public Welfare Industry Scientific Research Project of China (No. 201304309).


  1. Bai HY (2014) The response of vegetation to environmental change in Qinba Mountains. Science Press, Beijing (in Chinese)Google Scholar
  2. Bai HY, Ma XP, Gao X, Hou QL (2012) Variations in January temperature and 0 °C isothermal curve in the Qinling Mountains based on DEM. Acta Geograph Sin 67(11):1443–1450 (in Chinese)Google Scholar
  3. Chen XQ, Lin X (2012) Temperature controls on the spatial pattern of tree phenology in China’s temperate zone. Agric For Meteorol 154-155:195–202Google Scholar
  4. Chen XQ, Xu L (2012) Phenological responses of Ulmus pumila (Siberian elm) to climate change in the temperate zone of China. Int J Biometeorol 56(4):695–706Google Scholar
  5. Chmielewski FM, Rölzer T (2001) Response of tree phenology to climate change across Europe. Agric For Meteorol 108(2):101–112Google Scholar
  6. Chmielewski FM, Rölzer T (2002) Annual and spatial variability of the beginning of growing season in Europe in relation to air temperature changes. Clim Res 19:257–264Google Scholar
  7. Cleland EE, Chuine I, Menzel A, Mooney HA, Schwartz MD (2007) Shifting plant phenology in response to global change. Trends Ecol Evol 22(7):357–365Google Scholar
  8. Dai JH, Wang HJ, Ge QS (2013) Multiple phenological responses to climate change among 42 plant species in Xi’an, China. Int J Biometeorol 57(5):749–758Google Scholar
  9. Deng CH, Bai HY, Zhai DP, Gao S, Huang XY, Meng Q, He YN (2017) Variation in plant phenology in the Qinling Mountains from 1964-2015 in the context of climate change. Acta Ecol Sin 37(23):1–12 in ChineseGoogle Scholar
  10. Ding YH, Ren GY, Zhao ZC, Xu Y, Luo Y, Li QP, Zhang J (2007) Detection, causes and projection of climate change over China: an overview of recent progress. Adv Atmos Sci 24:954–971Google Scholar
  11. Gordo O, Sanz JJ (2009) Long-term temporal changes of plant phenology in the western Mediterranean. Glob Chang Biol 15(8):1930–1948Google Scholar
  12. Hodges T (1991) Temperature and water stress effects on phenology. In: Hodges T (ed) Predicting crop phenology. CRC Press, Boca Raton, pp 7–13Google Scholar
  13. Hopkins AD (1918) Periodical events and natural law as guides to agricultural research and practice. Mon Weather Rev 9(Suppl:1–42Google Scholar
  14. IPCC (2007a) Climate change 2007: the physical science basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, New York, p 996Google Scholar
  15. IPCC (2007b) Climate change 2007: impacts, adaptation and vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, New YorkGoogle Scholar
  16. IPCC (2013) Climate change 2013: the physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, New YorkGoogle Scholar
  17. Jeong JH, Ho CH, Linderholm HW, Jeong SJ, Chena D, Choic YS (2011) Impact of urban warming on earlier spring flowering in Korea. Int J Climatol 31:1488–1497Google Scholar
  18. Jochner SC, Sparks TH, Estrella N, Menzel A (2012) The influence of altitude and urbanisation on trends and mean dates in phenology (1980-2009). Int J Biometeorol 56:387–394Google Scholar
  19. Karlsen SR, Høgda KA, Wielgolaski FE, Tolvanen A, Tømmervik H, Poikolainen J, Kubin E (2009) Growing-season trends in Fennoscandia 1982–2006, determined from satellite and phenology data. Clim Res 39:275–286Google Scholar
  20. Linderholm HW (2006) Growing season changes in the last century. Agric For Meteorol 137:1–14Google Scholar
  21. Linderholm HW, Walther A, Chen DL (2008) Twentieth-century trends in the thermal growing season in the Greater Baltic Area. Clim Chang 87:405–419Google Scholar
  22. Liu HB, Shao XM (2000) Reconstruction of early-spring temperature of Qinling Mountains using tree-ring chronologies. Acta Meteorol Sin 58(2):223–233 in ChineseGoogle Scholar
  23. Liu BH, Henderson M, Zhang YD, Xu M (2010) Spatiotemporal change in China’s climatic growing season 1955-2000. Clim Chang 99(1–2):93–118Google Scholar
  24. Melillo JM, Callaghan TV, Woodward FI, Salati E, Sinha SK (1990) Climate change: effects on ecosystems. In: Houghton JT, Jenkins GJ, Ephraums JJ (eds) Climate change—the IPCC scientific assessment. Cambridge Univercity Press, New York, pp 282–310Google Scholar
  25. Menzel A (2003) Plant phenological anomalies in Germany and their relation to air temperature and NAO. Clim Chang 57:243–263Google Scholar
  26. Parmesan C (2007) Influences of species, latitudes and methodologies on estimates of phenological response to global warming. Glob Chang Biol 13(9):1860–1872Google Scholar
  27. Parmesan C, Yohe G (2003) A globally coherent fingerprint of climate impacts across natural systems. Nature 421:37–42Google Scholar
  28. Peterson TC, Folland C, Gruza G, Hogg W, Mokssit A, Plummer N (2001) Report on the activities of the Working Group on Climate Change Detection and Related Rapporteurs 1998-2001. International CLIVAR Project Office, SouthamptonGoogle Scholar
  29. Qin DH, Thomas S (2014) Highlights of the IPCC Working Group I fifth assessment report. Clim Change Res 10(1):1–6Google Scholar
  30. Ren GY, Guo J, Xu MZ, Chu ZY, Zhang L, Zou XK, Li QX, Liu XN (2005) Climate changes of China’s mainland over the past half century. Acta Meteorol Sin 63(6):942–956 (in Chinese)Google Scholar
  31. Ren GY, Ding YH, Zhao JC, Zheng JY, Wu TW, Tang GL, Xu Y (2012) Recent progress in studies of climate change in China. Adv Atmos Sci 29(5):958–977 in ChineseGoogle Scholar
  32. Robeson SM (2002) Increasing growing-season length in Illinois during the 20th century. Clim Chang 52:219–238Google Scholar
  33. Song YL, Linderholm HW, Chen DL, Walther A (2010) Trends of the thermal growing season in China, 1951-2007. Int J Climatol 30(1):33–43Google Scholar
  34. Walther GR, Post E, Convey P, Menzel A, Parmesan C, BeeBee TJ, Fromentin JM, Hoegh-Guldberg O, Bairlein F (2002) Ecological responses to recent climate change. Nature 416(6879):389–395Google Scholar
  35. Wang JY (1963) Agricultural meteorology, vol 108. Pacemaker Press, MilwaukeeGoogle Scholar
  36. Wang SP, Wang ZH, Piao SL, Fang JY (2010) Regional differences in the timing of recent air warming during the past four decades in China. Chin Sci Bull 55(16):1538–1543 in ChineseGoogle Scholar
  37. Xu MZ, Ren GY (2004) Change in growing season over China: 1961-2000. Q J Appl Meteorol 15(3):306–312Google Scholar
  38. Yue M, Xu YB (2014) Plant along the Qinling Mountains. For Humankind 2:8–25 (in Chinese)Google Scholar
  39. Zhai DP, Bai HY, Qin J, Deng CH, Liu RJ, He H (2016) Temporal and spatial variability of air temperature lapse rates in Mt. Taibai, Central Qinling Mountains. Acta Geograph Sin 71(9):1587–1595 in ChineseGoogle Scholar
  40. Zhang FC (1995) Effect of global warming on plant phonological events in China. Acta Geograph Sin 50(5):402–410 in ChineseGoogle Scholar
  41. Zhang XX, Ge QS, Zhang JY (2005) Impacts and lags of global warming on vegetation in Beijing for the last 50 years based on remotely sensed data and phonological information. Chin J Ecol 24(2):123–130 in ChineseGoogle Scholar
  42. Zhou Q, Bian JJ, Zheng JY (2011) Variation of air temperature and thermal resources in the northern and southern regions of the Qinling Mountains from 1951 to 2009. Acta Geograph Sin 66(9):1211–1218 (in Chinese)Google Scholar

Copyright information

© Springer-Verlag GmbH Austria, part of Springer Nature 2019

Authors and Affiliations

  • Chenhui Deng
    • 1
    • 2
    Email author
  • Hongying Bai
    • 3
  • Xinping Ma
    • 2
  • Ting Zhao
    • 3
  • Shan Gao
    • 4
  • Xiaoyue Huang
    • 3
  1. 1.College of Geography and TourismShaanxi Normal UniversityXi’anChina
  2. 2.College of Resource Environment and Historical CultureXianyang Normal UniversityXianyangChina
  3. 3.Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental ScienceNorthwest UniversityXi’anChina
  4. 4.Xi’an Bureau of Meteorology in Shaanxi ProvinceXi’anChina

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