High-resolution prediction of leaf onset date in Japan in the 21st century under the IPCC A1B scenario

Ecology and Evolution

Volumn 3, Issue 6, 2013, Pages 1798-1807

  Hadano, Mayumi ^a   Nasahara, Kenlo Nishida ^a,d   Motohka, Takeshi ^a,b   Noda, Hibiki Muraoka ^a,e   Murakami, Kazutaka ^a,e   Hosaka, Masahiro ^c  

^a UNIVERSITY OF TSUKUBA   (Japan)

^b JAPAN AEROSPACE EXPLORATION AGENCY   (Japan)

^c METEOROLOGICAL RESEARCH INSTITUTE   (Japan)

^d UNIVERSITY OF TOKYO   (Japan)

^e NATIONAL INSTITUTE FOR ENVIRONMENTAL STUDIES   (Japan)

Author keywords

AGCM; Global warming; Green red vegetation index (GRVI); Phenology; Remote sensing

Indexed keywords

EID: 84886314857     PISSN: None     EISSN: 20457758     Source Type: Journal    
DOI: 10.1002/ece3.575     Document Type: Article

References (33)

1. Badeck, F.-W., A. Bondeau, K. Böttcher, D. Doktor, W. Lucht, J. Schaber, et al. 2004. Responses of spring phenology to climate change. New Phytol. 162:295-309.
2. Botta, A., N. Viovy, P. Ciais, P. Friedlingstein, and P. Monfray 2000. A global prognostic scheme of leaf onset using satellite data. Glob. Change Biol. 6:709-725.
3. Campbell, R. K., and A. I. Sugano 1975. Phenology of budburst in Douglas-fir related to provenance, photoperiod, chilling and flushing temperature. Bot. Gaz. 140:223-231.
4. Cannel, M. J. R., and R. I. Smith 1983. Thermal time, chill days and prediction of budburst in Picea sitchensis. J. Appl. Ecol. 20:951-963.
5. Cannel, M. J. R., and R. I. Smith 1986. Climatic warming, spring budburst and frost damage on trees. J. Appl. Ecol. 23:177-191.
6. Chuine, I. 2000. A unified model for the budburst of trees. J. Theor. Biol. 207:337-347.
7. Chuine, I., P. Cour, and D. D. Rousseau 1998. Fitting models predicting dates of flowering of temperate-zone trees using simulated annealing. Plant Cell Environ. 21:455-466.
8. Doi, H., and I. Katano 2008. Phenological timings of leaf budburst with climate change in Japan. Agric. For. Meteorol. 148:512-516.
9. Ducousso, A., J. P. Guyon, and A. Kremér 1996. Latitudinal and altitudinal variation of bud burst in western populations of sessile oak (Quercus petraea (Matt.) Liebl.). Ann. For. Sci. 53:775-782.
10. Hunter, A. F., and M. J. Lechowicz 1992. Predicting the timing of budburst in temperate trees. J. Appl. Ecol. 29:597-604.
11. IPCC. 2000. Emission scenarios. Special Reports. Cambridge Univ. Press, U.K.
12. JMA. 2008. Global warming projection, 7. Japan Meteorological Agency, Tokyo.
13. Kramer, K. 1994a. A modelling analysis of the effect of climatic warming on the probability of spring frost damage to tree species in the Netherlands and Germany. Plant Cell Environ. 17:367-377.
14. Kramer, K. 1994b. Selecting a model to predict the onset of growth of Fagus sylvatica. J. Appl. Ecol. 31:172-181.
15. Kramer, K. 1995. Phenotypic plasticity of the phenology of seven European tree species in relation to climatic warming. Plant Cell Environ. 18:93-104.
16. Landsberg, J. J. 1974. Apple fruit bud development and growth: analysis and an empirical model. Ann. Bot. 38:1013-1023.
17. Matsumoto, K., T. Ohta, O. Irasawa, and T. Nakamura 2003. Climate change and extension of the Ginkgo biloba L. growing season in Japan. Glob. Change Biol. 9:1634-1642.
18. Menzel, A., and P. Fabian 1999. Growing season extended in Europe. Nature 397:659.
19. Mitášová, H., and L. Mitáš 1993. Interpolation by regularized spline with tension: I. Theory and implementation. Math. Geol. 25:641-655.
20. Mizuta, R., K. Oouchi, H. Yoshimura, H. Yoshimura, A. Noda, K. Katayama, et al. 2006. 20-km mesh global climate simulations using JMA-GSM model: mean climate states. J. Meteorol. Soc. Jpn. 84:165-185.
21. Mizuta, R., Y. Adachi, S. Yukimoto, and K. Kusunoki 2008. Estimation of future distribution of sea surface temperature and sea ice using CMIP3 multi-model ensemble mean. Techical Reports of the Meteorologicl Research Institute, 56. Available at http://www.mri-jma.go.jp/Publish/Technical/DATA/VOL_56/tec_rep_mri_56.pdf (accessed March 30, 2013).
22. Morin, Z., M. J. Lechowicz, C. Augspurger, J. O'Keefe, D. Viner, and I. Chuine 2009. Leaf phenology in 22 North American tree species during the 21st century. Glob. Change Biol. 15:961-975.
23. Motohka, T., K. N. Nasahara, H. Oguma, and S. Tsuchida 2010. Applicability of green-red vegetation index for remote sensing of vegetation phenology. Remote Sens. 2:2369-2387.
24. Murray, M. B., G. R. Cannell, and R. I. Smith 1989. Date of budburst of fifteen tree species in Britain following climatic warming. J. Appl. Ecol. 26:693-700.
25. Myneni, R. B., C. D. Keeling, C. J. Tucher, G. Asrar, and R. R. Nemani 1997. Increased plant growth in the northern high latitudes from 1981 to 1991. Nature 397:698-702.
26. Nagai, S., K. N. Nasahara, H. Muraoka, T. Akiyama, and S. Tsuchida 2010. Field experiments to test the use of the normalized difference vegetation index for phenology detection. Agric. For. Meteorol. 150:152-160.
27. Nunokawa, K., and M. Tsukahara 2005. Leaf flush timing of Fagus crenata from different habitats. Bull. Niigata Prefect. For. Res. Inst. 46:19-22 (in Japanese).
28. Perry, T. O. 1971. Dormancy of trees in winter. Science 171:29-36.
29. Richardson, A. D., A. S. Bailey, E. G. Denny, C. W. Martin, and J. O'Keefe 2006. Phenology of a northern hardwood forest canopy. Glob. Change Biol. 12:1174-1188.
30. Sitch, S., B. Smith, I. C. Prentice, A. Arneth, A. Bondeau, W. Cramer, et al. 2003. Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model. Glob. Change Biol. 9:161-185.
31. Ubukata, M. 2003. Ecological genetic study on the genetic resources and natural forest management of mizunara (Quercus mongolica var. grosserrata) in Hokkaido. Bull. For. Tree Breed. Cent. 19:25-120 (in Japanese).
32. Walther, G.-R., E. P. Post, P. Convey, A. Menzel, C. Parmesan, T. J. C. Beebee, et al. 2002. Ecological responses to recent climate change. Nature 416:389-395.
33. von Wuehlisch, G., D. Krusche, and H.-J. Muhs 1995. Variation in temperature sum requirement for flushing of beech provenances. Silvae Genet. 44:5-6.