International Journal of Biometeorology

, Volume 56, Issue 4, pp 695–706

Phenological responses of Ulmus pumila (Siberian Elm) to climate change in the temperate zone of China

Original Paper

Abstract

Using Ulmus pumila (Siberian Elm) leaf unfolding and leaf fall phenological data from 46 stations in the temperate zone of China for the period 1986–2005, we detected linear trends in both start and end dates and length of the growing season. Moreover, we defined the optimum length period during which daily mean temperature affects the growing season start and end dates most markedly at each station in order to more precisely and rationally identify responses of the growing season to temperature. On average, the growing season start date advanced significantly at a rate of −4.0 days per decade, whereas the growing season end date was delayed significantly at a rate of 2.2 days per decade and the growing season length was prolonged significantly at a rate of 6.5 days per decade across the temperate zone of China. Thus, the growing season extension was induced mainly by the advancement of the start date. At individual stations, linear trends of the start date correlate negatively with linear trends of spring temperature during the optimum length period, namely, the quicker the spring temperature increased at a station, the quicker the start date advanced. With respect to growing season response to interannual temperature variation, a 1°C increase in spring temperature during the optimum length period may induce an advancement of 2.8 days in the start date of the growing season, whereas a 1°C increase in autumn temperature during the optimum length period may cause a delay of 2.1 days in the end date of the growing season, and a 1°C increase in annual mean temperature may result in a lengthening of the growing season of 9 days across the temperate zone of China. Therefore, the response of the start date to temperature is more sensitive than the response of the end date. At individual stations, the sensitivity of growing season response to temperature depends obviously on local thermal conditions, namely, either the negative response of the start date or the positive response of the end date and growing season length to temperature was stronger at warmer locations than at colder locations. Thus, future regional climate warming may enhance the sensitivity of plant phenological response to temperature, especially in colder regions.

Keywords

Phenological growing season Ulmus pumila Linear trend Response to temperature Sensitivity Climate change 

References

  1. Ahas R (1999) Long-term phyto-, ornitho- and ichthyophenological time-series analyses in Estonia. Int J Biometeorol 42:119–123CrossRefGoogle Scholar
  2. Beaubien EG, Freeland HJ (2000) Spring phenology trends in Alberta, Canada: links to ocean temperature. Int J Biometeorol 44:53–59CrossRefGoogle Scholar
  3. Bradley NL, Leopold AC, Ross J, Huffaker W (1999) Phenological changes reflect climate change in Wisconsin. Proc Natl Acad Sci USA 96:9701–9704CrossRefGoogle Scholar
  4. Chen XQ (1994) Untersuchung zur zeitlich-raeumlichen Aehnlichkeit von phaenologischen und klimatologischen Parametern in Westdeutschland und zum Einfluss geooekologischer Faktoren auf die phaenologische Entwicklung im Gebiet des Taunus. Selbstverlag des Deutschen Wetterdienstes, Offenbach am MainGoogle Scholar
  5. Chen XQ (1995) Phaenologische und klimatologische Raumgliederung Westdeutschlands. Geogr Runds 47:312–317Google Scholar
  6. Chen XQ (2003) East Asia. In: Schwartz MD (ed) Phenology: an integrative environmental science. Kluwer, Dordrecht, pp 11–25CrossRefGoogle Scholar
  7. Chen XQ (2009) Phenological Observation in China. In: Hudson IL, Keatley MR (eds) Phenological research: methods for environmental and climate change analysis. Springer, Dordrecht, pp 35–38Google Scholar
  8. Chen XQ, Pan WF (2002) Relationships among phenological growing season, time-integrated normalized difference vegetation index and climate forcing in the temperate region of eastern China. Int J Climatol 22:1781–1792CrossRefGoogle Scholar
  9. Chen XQ, Hu B, Yu R (2005) Spatial and temporal variation of phenological growing season and climate change impacts in temperate eastern China. Global Change Biol 11:1118–1130CrossRefGoogle Scholar
  10. China Meteorological Administration (1993) Observation Criterion of Agricultural Meteorology (in Chinese). China Meteorological Press, BeijingGoogle Scholar
  11. Chmielewski FM, Rötzer T (2001) Response of tree phenology to climate change across Europe. Agric For Meteorol 108:101–112CrossRefGoogle Scholar
  12. Cleland EE, Chiariello NR, Loarie SR, Mooney HA, Field CB (2006) Diverse responses of phenology to global changes in a grassland ecosystem. Proc Natl Acad Sci USA 103:13740–13744CrossRefGoogle Scholar
  13. Compilation Committee of the Vegetation of China (1980) The vegetation of China (in Chinese). Science Press, BeijingGoogle Scholar
  14. Defila C, Clot B (2001) Phytophenological trends in Switzerland. Int J Biometeorol 45:203–207CrossRefGoogle Scholar
  15. Delpierre N, Dufrêne E, Soudani K, Ulrich E, Cecchini S, Boé J, François C (2009) Modelling interannual and spatial variability of leaf senescence for three deciduous tree species in France. Agric For Meteorol 149:938–948CrossRefGoogle Scholar
  16. Doi H, Takahashi M (2008) Latitudinal patterns in the phenological responses of leaf colouring and leaf fall to climate change in Japan. Global Ecol Biogeogr 17:556-561Google Scholar
  17. Domrös M, Peng GB (1988) The climate of China. Springer, BerlinCrossRefGoogle Scholar
  18. Dufrêne E, Davi H, François C, Maire G, Dantec VL, Granier A (2005) Modelling carbon and water cycles in a beech forest: Part I: Model description and uncertainty analysis on modelled NEE. Ecol Model 185:407–436CrossRefGoogle Scholar
  19. Fitter AH, Fitter RSR (2002) Rapid changes in flowering time in British plants. Science 296:1689–1691CrossRefGoogle Scholar
  20. Ghelardini L, Santini A (2009) Avoidance by early flushing: a new perspective on Dutch elm disease research. iForest 2:143-153Google Scholar
  21. Gordo O, Sanz JJ (2009) Long-term temporal changes of plant phenology in the Western Mediterranean. Global Change Biol 15:1930–1948CrossRefGoogle Scholar
  22. Gordo O, Sanz JJ (2010) Impact of climate change on plant phenology in Mediterranean ecosystems. Global Change Biol 16:1082–1106CrossRefGoogle Scholar
  23. Heide O, Prestrud A (2005) Low temperature, but not photoperiod, controls growth cessation and dormancy induction and release in apple and pear. Tree Physiol 25:109–114CrossRefGoogle Scholar
  24. Hutchinson MF (2002) Anusplin Version 4.2 User Guide. Centre for Resource and Environmental Studies, Australian National University, CanberraGoogle Scholar
  25. IPCC (2007) Climate change 2007: the physical science basis. Contribution of working group I to the fourth assessment report of the Intergovernmental Panel on Climate Change. Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds). Cambridge University Press, CambridgeGoogle Scholar
  26. Keeling CD, Chin JFS, Whorf TP (1996) Increased activity of northern vegetation inferred from atmospheric CO2 measurements. Nature 382:146–149CrossRefGoogle Scholar
  27. Kozlov MV, Berlina NG (2002) Decline in length of the summer season on the Kola Peninsula, Russia. Climatic Change 54:387–398CrossRefGoogle Scholar
  28. Kramer K (1994) Selecting a model to predict the onset of growth of Fagus sylvatica. J Appl Ecol 31:172–181CrossRefGoogle Scholar
  29. Kramer K (1996) Phenology and growth of european trees in relation to climate change. Landbouw Universiteit Wageningen, DissertationGoogle Scholar
  30. Lu PL, Yu Q, Liu HD, He QT (2006) Effects of changes in spring temperature on flowering dates of woody plants across China. Bot Stud 47:153–161Google Scholar
  31. Ma CG (1989) A provenance test of white elm (Ulmus pumila L.) in China. Silvae Genet 38:37–44Google Scholar
  32. Matsumoto K (2009) Causal factors for spatial variation in long-term phenological trends in Ginkgo biloba L. in Japan. Int J Climatol 30:1280–1288Google Scholar
  33. Matsumoto K, Ohta T, Irasawa M, Nakamura T (2003) Climate change and extension of the Ginkgo biloba L. growing season in Japan. Global Change Biol 9:1634–1642CrossRefGoogle Scholar
  34. Menzel A (2003) Plant phenological anomalies in Germany and their relation to air temperature and NAO. Climatic Change 57:243–263CrossRefGoogle Scholar
  35. Menzel A, Fabian P (1999) Growing season extended in Europe. Nature 397:659CrossRefGoogle Scholar
  36. Menzel A, Sparks TH, Estrella N, Koch E, Aasa A, Ahas R, Alm-Kübler K, Bissolli P, Braslavská O, Briede A et al (2006) European phenological response to climate change matches the warming pattern. Global Change Biol 12:1969–1976CrossRefGoogle Scholar
  37. Newman JE, Beard JB (1962) Phenological observations: the dependent variable in bioclimatic and agrometeorological studies. Agron J 54:399–403CrossRefGoogle Scholar
  38. Nuttonson MY (1953) Phenology and thermal environment as a means for a physiological classification of wheat varieties and for predicting maturity dates of wheat. American Institute of Crop Ecology, Washington DCGoogle Scholar
  39. Parmesan C (2007) Influences of species, latitudes and methodologies on estimates of phenological response to global warming. Global Change Biol 13:1860–1872CrossRefGoogle Scholar
  40. Parmesan C, Yohe G (2003) A globally coherent fingerprint of climate change impacts across natural systems. Nature 421:37–42CrossRefGoogle Scholar
  41. Peñuelas J, Rutishauser T, Filella I (2009) Phenology feedbacks on climate change. Science 324:887–888CrossRefGoogle Scholar
  42. Root TL, Price JT, Hall KR, Schneider SH, Rosenzweig C, Pounds JA (2003) Fingerprints of global warming on wild animals and plants. Nature 421:57–60CrossRefGoogle Scholar
  43. Schnelle F (1955) Pflanzen-phaenologie. Akademische Verlagsgesellschaft, LeipzigGoogle Scholar
  44. Schnelle F (1973) Die Vegetationszeit von Waldbaeumen in deutschen Mittelgebirgen. Selbstverlag der Fraenkischen Geographischen Gesellschaft in Kommission bei Palm & Enke, ErlangenGoogle Scholar
  45. Schwartz MD (1996) Examining the spring discontinuity in daily temperature ranges. J Clim 9:803–808CrossRefGoogle Scholar
  46. Sparks TH, Jeffree EP, Jeffree CE (2000) An examination of the relationship between flowering times and temperature at the national scale using long-term phenological records from the UK. Int J Biometeorol 44:82–87CrossRefGoogle Scholar
  47. Wang JY (1963) Agricultural meteorology. Pacemaker, MilwaukeeGoogle Scholar
  48. Zhao TT, Schwartz MD (2003) Examining the onset of spring in Wisconsin. Clim Res 24:59–70CrossRefGoogle Scholar
  49. Zheng JY, Ge QS, Hao ZX, Wang WC (2006) Spring phenophases in recent decades over eastern China and its possible link to climate changes. Climatic Change 77:449–462CrossRefGoogle Scholar

Copyright information

© ISB 2011

Authors and Affiliations

  1. 1.College of Urban and Environmental Sciences, Laboratory for Earth Surface Processes of the Ministry of EducationPeking UniversityBeijingPeople’s Republic of China

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