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Original Articles

A New Scheme for Predicting Leaf Onset in Summer-Green Vegetation in the Northern Hemisphere

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Pages 290-294 | Received 27 Mar 2015, Accepted 12 May 2015, Published online: 10 Nov 2015

References

  • Adams, J., 2007: Vegetation-Climate Interaction: How Vegetation Makes the Global Environment, Springer, New York, 31–40.
  • Bachelet, D., R. P. Neilson, J. M. Lenihan, et al., 2001: Climate change effects on vegetation distribution and carbon budget in the United States, Ecosystems, 4, 164–185.
  • Bonan, G. B., B. Drewniak, M. Huang, et al., 2013: Technical Description of Version 4.5 of the Community Land Model (CLM), NCAR Technical Note NCAR/TN-503+STR, Boulder, Colorado, 259–274.
  • Botta, A., N. Viovy, P. Ciais, et al., 2000: A global prognostic scheme of leaf onset using satellite data, Glob. Change Biol., 6, 709–725.
  • Cannell, M. G. R., and R. I. Smith, 1983: Thermal time, chill days and prediction of budburst in Picea sitchensis, J. Appl. Ecol., 20, 951–963.
  • Chuine, I., K. Kramer, and H. Hanninen, 2003: Plant development models, in: Phenology: An Integrative Environmental Science, Schwartz M. D. (Ed.), Kluwer Academic Publishers, Milwaukee, 217–235.
  • Feng, Q., T. Liang, X. Huang, et al., 2013: Characteristics of global potential natural vegetation distribution from 1911 to 2000 based on comprehensive sequential classification system approach, Grassland Sci., 59, 87–99.
  • Foley, J. A., I. C. Prentice, N. Ramankutty, et al., 1996: An integrated biosphere model of land surface processes, terrestrial carbon balance, and vegetation dynamics, Glob. Biogeochem. Cycles, 10, 603–628.
  • Hunter, A. F., and M. J. Lechowicz, 1992: Predicting the timing of budburst in temperate trees, J. Appl. Ecol., 29, 597–604.
  • Keenan, T., G. Bohrer, M. Friedl, et al., 2014: Increased carbon uptake in the eastern US due to warming induced changes in phenology, in: EGU General Assembly 2014, Vienna, EGU2014–10076.
  • Levis, S., G. B. Bonan, M. Vertenstein, et al., 2004: The Community Land Model's Dynamic Global Vegetation Model (CLM-DGVM): Technical Description and User's Guide, NCAR Technical Note NCAR/TN-459+ IA, Boulder, Colorado, 25–26.
  • Liang, S., X. Zhao, S. Liu, et al., 2013: A long-term Global LAnd Surface Satellite (GLASS) data-set for environmental studies, Int. J. Digit. Earth, 6, 5–33.
  • Pielke Sr, R. A., R. Avissar, M. Raupach, et al., 1998: Interactions between the atmosphere and terrestrial ecosystems: Influence on weather and climate, Glob. Change Biol., 4, 461–475.
  • Richardson, A. D., R. S. Anderson, M. A. Arain, et al., 2012: Terrestrial biosphere models need better representation of vegetation phenology: Results from the North American Carbon Program Site Synthesis, Glob. Change Biol., 18, 566–584.
  • Richardson, A. D., D. Y. Hollinger, D. B. Dail, et al., 2009: Influence of spring phenology on seasonal and annual carbon balance in two contrasting New England forests, Tree Physiol., 29, 321–331.
  • Richardson, A. D., T. F. Keenan, M. Migliavacca, et al., 2013: Climate change, phenology, and phenological control of vegetation feedbacks to the climate system, Agric. Forest Meteor., 169, 156–173.
  • Sakai, A., and W. Larcher, 1987: Frost Survival of Plants, Responses and Adaptation to Freezing Stress, Springer-Verlag, Berlin, 321 pp.
  • Sato, H., A. Itoh, and T. Kohyama, 2007: SEIB-DGVM: A new Dynamic Global Vegetation Model using a spatially explicit individual-based approach, Ecol. Model., 200, 279–307.
  • Wang, A., and X. Zeng, 2013: Development of global hourly 0.5° land surface air temperature datasets, J. Climate, 26, 7676–7691.
  • Zeng, X., F. Li, and X. Song, 2014: Development of the IAP Dynamic Global Vegetation Model, Adv. Atmos. Sci., 31, 505–514.
  • Zhang, X., M. A. Friedl, C. B. Schaaf, et al., 2003: Monitoring vegetation phenology using MODIS, Remote Sens. Environ., 84, 471–475.
  • Zhang, X., A. Mark, M. A. Friedl, et al., 2006: Global vegetation phenology from Moderate Resolution Imaging Spectroradiometer (MODIS): Evaluation of global patterns and comparison with in situ measurements, J. Geophys. Res., 111, 367–375.

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