Abstract
Vegetation phenology has a strong effect on terrestrial carbon cycles, local weather, and global radiation partitioning between sensible and latent heat fluxes. Based on phenological data that were collected from a typical steppe ecosystem at Xilingol Grazing and Meteorological Station from 1985 to 2003, we studied the phenological characteristics of Leymus chinensis and Stipa krylovii. We found that the dates for budburst of L. chinensis and S. krylovii were delayed with increasing temperature during winter and spring seasons; these results differed from existing research in which earlier spring events were attributed to the changes in increasing air temperature in winter and spring. The results also suggested that water availability was an important controlling factor for phenology in addition to temperature in grassland plants. The classical cumulative temperature model simulated the phenology well in wet years, but not in the beginning of growing season in all years from 1985 to 2003. The disparity between the simulation and the observation appeared to be related to soil water. Based on our research findings, a water-heat-based phenological model was developed for simulating the beginning of growing season for these two grass species. The simulated results of the new model showed a significant correlation with the observation of beginning date of the growing season, and both mean values of the absolute error were less than 6 days.
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Bahmani I, Hazard L, Varlet-Grancher C, Betin M, Lemaire G, Matthew C, Thom ER (2000) Differences in tillering of long-and short-leaved perennial ryegrass genetic lines under full light and shade treatments. Crop Sci 40:1095–1102
Bai YF (1999) The influence of seasonal distribution of precipitation on primary productivity of Stipa krylovii community. Acta Phytoecologica Sinica 23(2):155–160
Bartholomew PW, Williams RD (2005) Cool-season grass development response to accumulated temperature under a range of temperature regimes. Crop Sci 45:529–534
Beaubien EG, Freeland HJ (2000) Spring phenology trends in Alberta, Canada: Links to ocean temperature. Int J Biometeorol 44:53–59
Borchert R, Robertson K, Schwartz MD, Williams-Linera G (2005) Phenology of temperate trees in tropical climates. Int J Biometeorol 50(1):57–65
Botta A, Viovy N, Ciais P, Friedlingstein P, Monfray P (2000) A global prognostic scheme of leaf onset using satellite data. Global Change Biol 6:709–725
Burk IH (1982) Phenology, germination, and survival of desert ephemerals in deep canyon, Riverside county, California. Madrono 29:154–163
Cao W, Moss DN (1989) Temperature effect on leaf emergence and phyllochron in wheat and barley. Crop Sci 29:1018–1021
Cesaraccio C, Spano D, Snyder RL, Duce P (2004) Chilling and forcing model to predict bud-burst of crop and forest species. Agric Forest Meteorol 126:1–13
Chen ZZ, Wang SP (2000) Typical grassland ecosystem in China. Science Press, Beijing, pp 58
Chen XQ, Tan ZJ, Schwartz MD, Xu CX (2000) Determining the growing season of land vegetation on the basis of plant phenology and satellite data in Northern China. Int J Biometeorol 44:97–101
Chen XQ, Hu B, Yu R (2005) Spatial and temporal variation of phenological growing season and climate change impacts in temperature eastern China. Global Change Biol 11:1118–1130
Chmielewski FM, Rötzer T (2001) Response of tree phenology to climate change across Europe. Agric Forest Meteorol 108:101–112
Chmielewski FM, Müller A, Küchler W (2005) Possible impacts of climate change on natural vegetation in Saxony (Germany). Int J Biometeorol 50(2):96–104
Chuine I, Cour P (1999) Climatic determinants of bud-bursting seasonality in four temperate- zone tree species. New Phytol 143:339–349
Defila C, Clot B (2001) Phytophenological trends in Switzerland. Int J Biometeorol 45:203–207
Dickinson CE, Dodd IL (1976) Phenological patterns in the shortgrass prairie. Am Midland Naturalist 96:367–378
Foley JA, Prentice IC, Ramunkutty N, Levis S, Pollard D, Sitch S, Haxeltine A (1996) An integrated biosphere model of land surface processes, terrestrial carbon balance, and vegetation dynamics (IBIS). Global Biogeochem Cycles 10:603–628
French N, Sauer RH (1974) Phenological studies and modeling in grasslands. In: Leith H (ed) Phenology and seasonality modeling. Springer, Berlin Heidelberg New York, pp 227–236
Fuchigami LH, Nee C (1987) Degree growth stage model and rest-breaking mechanism in temperate woody perennials. HortScience 22(5):836–845
Hannerz M (1999) Evaluation of temperature models for predicting bud burst in Norway spruce. Can J Forest Res 29:1–11
Hanninen H (1994) Effects of climate change on trees from cool and temperate regions: An ecophysiological approach to modeling of bud burst phenology. Can J Bot 73:183–199
IPCC (2001) Climate change 2001: the scientific basis. Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change. [Houghton JT, Ding Y, Griggs DJ, Noguer M, Linden PJ, Dai X, Maskell K, and Johnson CA (ed)], Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA
Kemp PR (1983) Phenological patterns of Chihuahuan desert plants in relationship to the timing of water availability. J Ecol 71:427–436
Kendall MG (1975) Rank correlation methods. Charles Griffin, London, pp 202
Kirby EJM (1995) Factors affecting rate of leaf emergence in barley and wheat. Crop Sci 35:11–19
Knapp AK (1984) Water relations and growth of three grasses during wet and drought years in tall grass prairie. Oecologia 65:35–43
Kramer K (1994) Selecting a model to predict the onset of growth of Fagus sylvatica. J Appl Ecol 31:172–181
Kuo PC (1987) Flora Reipublicae Popularis Sinicae, vol9. Science Press, Beijing, pp 19
Leith H (1975) Primary productivity of the biosphere. In: Ecological Studies. Springer, Berlin Heidelberg New York, pp 237–264
Lemaire G, Salette J (1982) The effects of temperature and fertilizer nitrogen on the spring growth of tall fescue and cocksfoot. Grass Forage Sci 37:191–198
Linkosalo T (2000) Mutual regularity of spring phenology of some boreal tree species: predicting with other species and phenological models. Can J Forest Res 30:667–673
Ma YQ (1994) Flora intramongolica, Tomus 5. Typis intramongolicae popularis, Hohot, pp 199
Mann HB (1945) Non-parametric test against trend. Econometrika 13:245–259
Menzel A, Fabian P (1999) Growing season extended in Europe. Nature 397:659
Murray MB, Cannell GR, Smith RI (1989) Date of bud-bursting of fifteen tree species in Britain following climatic warming. J Appl Ecol 26:693–700
Ni J (2003) Plant functional types and climate along a precipitation gradient in temperate grasslands, north-east China and south-east Mongolia. J Arid Environ 53:501–516
Piao SL, Fang JY, Zhou LM, Philippe C, Zhu B (2006) Variations in satellite-derived phenology in China’s temperate vegetation. Global Change Biol 12:672–685
Pitt MD, Wikeem BM (1990) Phenological patterns and adaptations in an Artemisia/Agropyron plant community. J Range Manage 43(4):350–358
Running SW, Hunt ER (1993) Generalization of a forest ecosystem process model for other biomes, BIOME-BGC and an application for global-scale models. In: Ehleringer JR, Field CB (eds) Scaling physiological processes: leaf to globe. Academic, San Diego, pp 141–158
Schwartz MD (1998) Green-wave phenology. Nature 394: 839–840
Schwartz MD, Reiter BE (2000) Changes in North American spring. Int J Climatol 20:929–932
Sharifi MR, Meinzer FC, Nilsen ET, Rundel PW, Virginia RA, larrell WM, Herman Dl, Clark PC (1988) Effect of manipulation of water and nitrogen supplies on the quantitative phenology of Larrea tridentata (creosote bush) in the Sonoran Desert of California. Am J Bot 75:1163–1174
Sitch S, Smith B, Prentice IC, Arneth A, Bondeau A, Cramer W, Kaplan JO, Levis S, Lucht W, Sykes MT, Thonicke K, Venevsky S (2003) Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model. Global Change Biol 9:161–185
Sparks TH, Jeffree EP, Jefree CE (2000) An examination of relationships between flowering times and temperature at the national scale using long-term phenological record from the UK. Int J Biometeorol 44:82–87
Stewart DW, Dwyer LM (1994) A model of expansion and senescence of individual leaves of field-grown maize. Can J Plant Sci 74(1):37–42
Sugiura T, Kobayashi H, Iwase S (1998) Low input improvement of degraded grassland in semiarid area of China. 1. Evaluation of sheep dung as a water retention agent. Grassland Sci 44:352–356
Tanja S, Berninger F, Vesala T, Markkanen T, Hari P Makela A, Ilvesniemi H, Hanninen H, Nikinmaa E, Huttula T, Laurila T, Aurela M, Grelle A, Lindroth A, Arneth A, Shibistova O, Lloyd J (2003) Air temperature triggers the recovery of evergreen boreal forest photosynthesis in spring. Global Change Biol 9:1410–1426
Verseghy D, McFarlane NA, Lazare M (1993) CLASS - a Canadian land surface scheme for GCMs, II. Vegetation model and coupled runs. Int J Climatol 13:347–370
Walkovszky A (1998) Changes in phenology of the locust tree (Robinia pseudoacacia L.) in Hungary. Int J Biometeorol 41:155–160
Wan MW, Liu XZ (1979) Phenological observation method in China. Science Press, Beijing, pp 56
Wang Y, Guo Y (1993) Establishment of artificial grasslands on the degraded Stipa steppe in the Alpine area and high latitude zone of China. J Jpn Grassland Sci 89:343–348
Wang YH, Zhou GS (2003) Response of Leymus chinensis grassland vegetation in inner Mongolia to temperature change. Acta Phytoecologica Sinica 28(4):507–514
White MA, Thornton PE, Running SW (1997) A continental phenology model for monitoring vegetation responses to interannual climatic variability. Global Biogeochem Cycles 11(2):217–234
White MA, Running SW, Thornton PE (1999) The impact of growing-season length variability on carbon assimilation and evapotranspiration over 88 years in the eastern US deciduous forest. Int J Biometeorol 42:139–145
Wolfe DW, Schwartz MD, Lakso AN, Otsuki Y, Pool RM, Shaulis NJ (2005) Climate change and shifts in spring phenology of three horticultural woody perennials in northeastern USA. Int J Biometeorol 49(5):303–309
Wu ZY (1980) Vegetation in China. Science press, Beijing, pp 537
Xu LK, Baldocchi DD (2004) Seasonal variation in carbon dioxide exchange over a Mediterranean annual grassland in California. Agric Forest Meteorol 123:79–96
Yuan WP, Zhou GS (2005) Responses of three Stipa communities net primary productivity along Northeast China Transect to seasonal distribution of precipitation. Chinese J Appl Ecol 16(4):605–609
Acknowledgments
This research was funded jointly by National Natural Science Foundation of China (No.40231018), the National Key Basic Research Project (2004CB418507–1), and the Project of Knowledge Innovation of CAS (KSCX2-SW-133). The authors thank Dr. Zhonglei Wang for his help with English. This paper also benefitted from comments from two anonymous reviewers.
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Yuan, W., Zhou, G., Wang, Y. et al. Simulating phenological characteristics of two dominant grass species in a semi-arid steppe ecosystem. Ecol Res 22, 784–791 (2007). https://doi.org/10.1007/s11284-006-0318-z
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DOI: https://doi.org/10.1007/s11284-006-0318-z