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The spatiotemporal characteristics of spring phenophase changes of Fraxinus chinensis in China from 1952 to 2007

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Abstract

We selected widely distributed and well observed plant species Fraxinus chinensis to study the formation mechanism of geographical distribution of the plant phenophase changes and revealed their spatiotemporal dynamics in China. Based on the first leaf date (FLD) data at 12 sites derived from Chinese Phenological Observation Network (CPON) and related meteorological data, we developed and validated the process-based model of FLD for Fraxinus chinensis. After reconstructing data series of FLD for Fraxinus chinensis over the study area from 1952 to 2007, we analyzed different spatiotemporal patterns of phenophase changes of this species. The results suggested that the process-based model was able to simulate the FLD accurately for Fraxinus chinensis on large spatial and temporal scales, because of the consideration of different budding rate responded to the air temperatures during the dormancy and the quiescence in accordance with the physiological mechanism of plants. The geographical distribution of the spring phenology in temperate regions was determined by the spatial pattern of daily average air temperature. The changes of FLD for Fraxinus chinensis revealed significant phenological advances in most areas. However, it showed delayed trends in a few sites. The overall average change trend was −1.1 days/decade. This result was consistent with the advanced trend in other regions of the North Hemisphere. The changes of FLD showed a noticeable regional variation with clearer advance in the north than in the south. The FLD in northern China showed an average advance as high as −2.0 days/decade (P<0.01). And the advance in northeastern and northwestern China was respectively −1.5 and −1.4 days/decade (P<0.01). Furthermore, eastern and central regions showed a minor trend, which was −1.0 days/decade (P<0.05). The smallest and non-significant advance appeared in southwestern and southern China.

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References

  1. Zhu K Z, Wan M W. Phenology (in Chinese). Beijing: Science Press, 1973. 1

    Google Scholar 

  2. Schwartz M D. Phenology: An Integrative Environmental Science. Dordrecht: Kluwer Academic Publishers, 2003. 3–7

    Google Scholar 

  3. Zwiers F, Hegerl G. Climate change: Attributing cause and effect. Nature, 2008, 453: 296–297

    Article  Google Scholar 

  4. Root T L, Price J T, Hall K R, et al. Fingerprints of global warming on wild animals and plants. Nature, 2003, 421: 57–60

    Article  Google Scholar 

  5. Chuine I. Why does phenology drive species distribution? Philos T Roy Soc B, 2010, 365: 3149–3160

    Article  Google Scholar 

  6. Loustau D, Bosc A, Colin A, et al. Modeling climate change effects on the potential production of French plains forests at the sub-regional level. Tree Physiol, 2005, 25: 813–823

    Article  Google Scholar 

  7. Sitch S, Smith B, Prentice I C, et al. Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model. Global Change Biol, 2003, 9: 161–185

    Article  Google Scholar 

  8. Cleland E E, Chuine I, Menzel A, et al. Shifting plant phenology in response to global change. Trends Ecol Evol, 2007, 22: 357–365

    Article  Google Scholar 

  9. Kikuzawa K. A cost-benefit analysis of leaf habit and leaf longevity of trees and their geographical pattern. Am Nat, 1991, 138: 1250–1264

    Article  Google Scholar 

  10. Kikuzawa K. Geographical distribution of leaf life span and species diversity of trees simulated by a leaf-longevity model. Plant Ecol, 1996, 122: 61–67

    Article  Google Scholar 

  11. Schwartz M D. Advancing to full bloom: Planning phenological research for the 21st century. Int J Biometeorol, 1999, 42: 113–118

    Article  Google Scholar 

  12. Emberlin J, Detandt M, Gehrig R, et al. Responses in the start of Betula (birch) pollen seasons to recent changes in spring temperatures across Europe. Int J Biometeorol, 2002, 46: 159–170

    Article  Google Scholar 

  13. Hunter A F, Lechowicz M J. Predicting the timing of budburst in temperate trees. J Appl Ecol, 1992, 29: 597–604

    Article  Google Scholar 

  14. Taiz L, Zeiger E. Plant Physiology. 4th ed. Sunderland: Sinauer Associates, 2006. 1–700

    Google Scholar 

  15. Chuine I, Cour P, Rousseau D D. Fitting models predicting dates of flowering of temperate-zone trees using simulated annealing. Plant Cell Environ, 1998, 21: 455–466

    Article  Google Scholar 

  16. Chuine I, Yiou P, Viovy N, et al. Historical phenology: Grape ripening as a past climate indicator. Nature, 2004, 432: 289–290

    Article  Google Scholar 

  17. Morin X, Viner D, Chuine I. Tree species range shifts at a continental scale: New predictive insights from a process-based model. J Ecol, 2008, 96: 784–794

    Article  Google Scholar 

  18. Morin X, Lechowicz M J, Augspurger C, et al. Leaf phenology in 22 North American tree species during the 21st century. Global Change Biol, 2009, 15: 961–975

    Article  Google Scholar 

  19. Chen H Y, Huang C J. Flora of China (in Chinese). Beijing: Science Press, 1998. 30–32

    Google Scholar 

  20. Wan M W, Liu X Z. China’s National Phenological Observational Criterion (in Chinese). Beijing: Science Press, 1979. 1–136

    Google Scholar 

  21. Chuine I. A unified model for budburst of trees. J Theor Biol, 2000, 207: 337–347

    Article  Google Scholar 

  22. Kramer K. Selecting a model to predict the onset of growth of Fagus sylvatica. J Appl Ecol, 1994, 31: 172–181

    Article  Google Scholar 

  23. Partanen J, Koski V, Hänninen H. Effects of photoperiod and temperature on the timing of bud burst in Norway spruce (Picea abies). Tree Physiol, 1998, 18: 811–816

    Article  Google Scholar 

  24. Schwartz M D, Marotz G A. An approach to examining regional atmosphere-plant interactions with phenological data. J Biogeogr, 1986, 13: 551–560

    Article  Google Scholar 

  25. Schwartz M D, Marotz G A. Synoptic events and spring phenology. Phys Geogr, 1988, 9: 151–161

    Google Scholar 

  26. Chuine I, Belmonte J, Mignot A. A modelling analysis of the genetic variation of phenology between tree populations. J Ecol, 2000, 88: 561–570

    Article  Google Scholar 

  27. Chuine I, Cambon G, Comtois P. Scaling phenology from the local to the regional level: Advances from species-specific phenological models. Global Change Biol, 2000, 6: 943–952

    Article  Google Scholar 

  28. Wilczek A M, Burghardt L T, Cobb A R, et al. Genetic and physiological bases for phenological responses to current and predicted climates. Philos T Roy Soc B, 2010, 365: 3129–3147

    Article  Google Scholar 

  29. Fang J Y, Wang Z H, Tang Z R. Atlas of Woody Plants in China: Distribution and Climate. Beijing: Higher Education Press, 2009. 1–20

    Google Scholar 

  30. Gong G F, Jian W M. On the geographical distribution of phenodate in China (in Chinese). Acta Geogr Sin, 1983, 38: 33–40

    Google Scholar 

  31. Ge Q S, Zheng J Y, Zhang X X, et al. The study of phenology and climate in China over the past 40 years (in Chinese). Prog Nat Sci, 2003, 13: 1048–1053

    Google Scholar 

  32. Zheng J, Ge Q, Hao Z, et al. Spring phenophases in recent decades over eastern China and its possible link to climate changes. Clim Change, 2006, 77: 449–462

    Article  Google Scholar 

  33. Zhang F C. Effects of global warming on plant phenological events in China (in Chinese). Acta Geogr Sin, 1995, 50: 402–410

    Google Scholar 

  34. Li R P, Zhou G S. Responses of woody plants phenology to air temperature in Northeast China in 1980–2005 (in Chinese). Chin J Ecol, 2010, 29: 2316–2317

    Google Scholar 

  35. Chen X Q, Zhang F C. Spring phenological change in Beijing in the last 50 years and its response to the climatic changes (in Chinese). Chinese J Agrometeorol, 2001, 22: 2–6

    Google Scholar 

  36. Matsumoto K, Ohta T, Irasawa M, et al. Climate change and extension of the Ginkgo biloba L. growing season in Japan. Global Change Biol, 2003, 9: 1634–1642

    Article  Google Scholar 

  37. Fitter A H, Fitter R. Rapid changes in flowering time in British plants. Science, 2002, 296: 1689–1691

    Article  Google Scholar 

  38. Menzel A, Sparks T H, Estrella N, et al. European phenological response to climate change matches the warming pattern. Global Change Biol, 2006, 12: 1969–1976

    Article  Google Scholar 

  39. Parmesan C, Yohe G. A globally coherent fingerprint of climate change impacts across natural systems. Nature, 2003, 421: 37–42

    Article  Google Scholar 

  40. Schwartz M D, Ahas R, Aasa A. Onset of spring starting earlier across the Northern Hemisphere. Global Change Biol, 2006, 12: 343–351

    Article  Google Scholar 

  41. Ge Q, Dai J, Zheng J, et al. Advances in first bloom dates and increased occurrences of yearly second blooms in eastern China since the 1960s: Further phenological evidence of climate warming. Ecol Res, 2011, 26: 1–11

    Article  Google Scholar 

  42. Picard G, Quegan S, Delbart N, et al. Bud-burst modelling in Siberia and its impact on quantifying the carbon budget. Global Change Biol, 2005, 11: 2164–2176

    Article  Google Scholar 

  43. Kucharik C J, Barford C C, Maayar M E, et al. A multiyear evaluation of a Dynamic Global Vegetation Model at three AmeriFlux forest sites: Vegetation structure, phenology, soil temperature, and CO2 and H2O vapor exchange. Ecol Model, 2006, 196: 1–31

    Article  Google Scholar 

  44. Walther G R. Plants in a warmer world. Perspect Plant Ecol Evol Syst, 2003, 6: 169–185

    Article  Google Scholar 

  45. Pope V D, Gallani M L, Rowntree P R, et al. The impact of new physical parametrizations in the Hadley Centre climate model: HadAM3. Clim Dynam, 2000, 16: 123–146

    Article  Google Scholar 

  46. Chuine I, Beaubien E G. Phenology is a major determinant of tree species range. Ecol Lett, 2001, 4: 500–510

    Article  Google Scholar 

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Authors and Affiliations

  1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China

    HuanJiong Wang, JunHu Dai & QuanSheng Ge

  2. Graduate School of Chinese Academy of Sciences, Beijing, 100049, China

    HuanJiong Wang

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  1. HuanJiong Wang
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  2. JunHu Dai
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  3. QuanSheng Ge
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Correspondence to JunHu Dai.

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Wang, H., Dai, J. & Ge, Q. The spatiotemporal characteristics of spring phenophase changes of Fraxinus chinensis in China from 1952 to 2007. Sci. China Earth Sci. 55, 991–1000 (2012). https://doi.org/10.1007/s11430-011-4349-0

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  • DOI: https://doi.org/10.1007/s11430-011-4349-0

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