Remote sensing of larch phenological cycle and analysis of relationships with climate in the Alpine region

Global Change Biology

Volumn 16, Issue 9, 2010, Pages 2504-2517

  Busetto, L ^a,b   Colombo, R ^a   Migliavacca, M ^a   Cremonese, E ^c   Meroni, M ^a   Galvagno, M ^c   Rossini, M ^a   Siniscalco, C ^d   Morra Di Cella, U ^c   Pari, E ^d  

^a UNIVERSITY OF MILANO BICOCCA   (Italy)

^b CNR IIA   (Italy)

^c Agenzia Regionale per la Protezione dell'Ambiente della Valle d'Aosta   (Italy)

^d UNIVERSITY OF TURIN   (Italy)

Author keywords

Alpine region; MODIS; Phenological models; Phenology; Remote sensing

Indexed keywords

ALPINE ENVIRONMENT; ANNUAL VARIATION; CONIFEROUS TREE; GROWING SEASON; MODELING; MODIS; NDVI; PHENOLOGY; REMOTE SENSING; TEMPERATURE ANOMALY; TIME SERIES ANALYSIS;

ITALY; VALLE D'AOSTA;

LARIX; LARIX DECIDUA;

EID: 77955239051     PISSN: 13541013     EISSN: 13652486     Source Type: Journal    
DOI: 10.1111/j.1365-2486.2010.02189.x     Document Type: Article

References (66)

1. Ahl DE, Gower ST, Burrows SN, Shabanov NV, Myneni RB, Knyazikhin Y. Monitoring spring canopy phenology of a deciduous broadleaf forest using MODIS. Remote Sensing of Environment 2006, 104:88-95.
2. Badeck FW, Bondeau A, Bottcher K, Doktor D, Lucht W, Schaber J, Sitch S. Responses of spring phenology to climate change. New Phytologist 2004, 162:295-309.
3. Beck PSA, Atzberger C, Hogda KA, Johansen B, Skidmore AK. Improved monitoring of vegetation dynamics at very high latitudes: a new method using MODIS NDVI. Remote Sensing of Environment 2006, 100:321-334.
4. Beck PSA, Jonsson P, Hogda KA, Karlsen SR, Eklundh L, Skidmore AK. A ground-validated NDVI dataset for monitoring vegetation dynamics and mapping phenology in Fennoscandia and the Kola peninsula. International Journal of Remote Sensing 2007, 28:4311-4330.
5. Beniston M, Rebetez M. Regional behavior of minimum temperatures in Switzerland for the period 1979-1993. Theoretical and Applied Climatology 1996, 53:231-243.
6. Bogaert J, Zhou L, Tucker CJ, Myneni RB, Ceulemans R. Evidence for a persistent and extensive greening trend in Eurasia inferred from satellite vegetation index data. Journal of Geophysical Research-Atmospheres 2002, 107:4119-4127.
7. Campbell GS, Norman JM. An Introduction to Environmental Biophysics 1998, Springer, Berlin
8. Cayan DR, Kammerdiener SA, Dettinger MD, Caprio JM, Peterson DH. Changes in the onset of spring in the western United States. Bulletin of the American Meteorological Society 2001, 82:399-415.
9. Chen J, Jonsson P, Tamura M, Gu ZH, Matsushita B, Eklundh L. A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter. Remote Sensing of Environment 2004, 91:332-344.
10. Chen XQ, Tan ZJ, Schwartz MD, Xu CX. Determining the growing season of land vegetation on the basis of plant phenology and satellite data in Northern China. International Journal of Biometeorology 2000, 44:97-101.
11. Chmielewski FM, Rötzer T. Response of tree phenology to climate change across Europe. Agricultural and Forest Meteorology 2001, 108:101-112.
12. Chmielewski FM, Rötzer T. Annual and spatial variability of the beginning of growing season in Europe in relation to air temperature changes. Climate Research 2002, 19:257-264.
13. Chuine I. A unified model for budburst of trees. Journal of Theoretical Biology 2000, 207:337-347.
14. Colombo R, Busetto L, Migliavacca M. On the spatial and temporal variability of Larch phenological cycle in mountainous areas. Italian Journal of Remote Sensing 2009, 41:79-96.
15. Cook BI, Smith TM, Mann ME. The North Atlantic Oscillation and regional phenology prediction over Europe. Global Change Biology 2005, 11:919-926.
16. Defila C, Clot B. Phytophenological trends in Switzerland. International Journal of Biometeorology 2001, 45:203-207.
17. Delbart N, Kergoat L, Le Toan T, Lhermitte J, Picard G. Determination of phenological dates in boreal regions using normalized difference water index. Remote Sensing of Environment 2005, 97:26-38.
18. Delbart N, Le Toan T, Kergoat L, Fedotova V. Remote sensing of spring phenology in boreal regions: a free of snow-effect method using NOAA-AVHRR and SPOT-VGT data (1982-2004). Remote Sensing of Environment 2006, 101:52-62.
19. Delbart N, Picard G, Le Toans T. Spring phenology in boreal Eurasia over a nearly century time scale. Global Change Biology 2008, 14:603-614.
20. Delpierre N, Dufrene E, Soudani K, Ulrich E, Cecchini S, Boé J, Francois C. Modelling interannual and spatial variability of leaf senescence for three deciduous tree species in France. Agricultural and Forest Meteorology 2009, 149:938-948.
21. Fisher JI, Mustard JF. Cross-scalar satellite phenology from ground, Landsat, and MODIS data. Remote Sensing of Environment 2007, 109:261-273.
22. Fisher JI, Mustard JF, Vadeboncoeur MA. Green leaf phenology at Landsat resolution: scaling from the field to the satellite. Remote Sensing of Environment 2006, 100:265-279.
23. Fisher JI, Richardson AD, Mustard JF. Phenology model from surface meteorology does not capture satellite-based greenup estimations. Global Change Biology 2007, 13:707-721.
24. Fu P, Rich PM. 1999, 19th Annual ESRI User Conference. San Diego, USA
25. Huete A, Didan K, Miura T, Rodriguez EP, Gao X, Ferreira LG. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment 2002, 83:195-213.
26. Hunter AF, Lechowicz MJ. Predicting the timing of budburst in temperate trees. Journal of Applied Ecology 1992, 29:597-604.
27. Janssen PHM, Heuberger PSC. Calibration of process-oriented models. Ecological Modelling 1995, 83:55-66.
28. Jolly WM, Nemani R, Running SW. A generalized, bioclimatic index to predict foliar phenology in response to climate. Global Change Biology 2005, 11:619-632.
29. Karlsen SR, Elvebakk A, Høgda KA, Johansen B. Satellite-based mapping of the growing season and bioclimatic zones in Fennoscandia. Global Ecology and Biogeography 2006, 15:416-430.
30. Kramer K, Leinonen I, Loustau D. The importance of phenology for the evaluation of impact of climate change on growth of boreal, temperate and Mediterranean forests ecosystems: an overview. International Journal of Biometeorology 2000, 44:67-75.
31. Lieth H. Phenology and Seasonality Modeling 1974, Springer, Heidelberg
32. Linkosalo T. 2000, Unpublished PhD Dissertation, Department of Forest Ecology Publications 22, University of Helsinki, 55pp
33. Markwardt CB. 2008, Quebec, Canada
34. Matsumoto K, Ohta T, Irasawa M, Nakamura T. Climate change and extension of the Ginkgo biloba L. growing season in Japan. Global Change Biology 2003, 9:1634-1642.
35. Menzel A. Plant phenological anomalies in Germany and their relation to air temperature and NAO. Climatic Change 2003, 57:243-263.
36. Menzel A, Fabian P. Growing season extended in Europe. Nature 1999, 397:659.
37. Menzel A, Sparks TH, Estrella N. European phenological response to climate change matches the warming pattern. Global Change Biology 2006, 12:1969-1976.
38. Migliavacca M, Cremonese E, Colombo R. European larch phenology in the Alps: can we grasp the role of ecological factors by combining field observations and inverse modelling? International Journal of Biometeorology 2008, 52:587-605.
39. Myneni RB, Keeling CD, Tucker CJ, Asrar G, Nemani RR. Increased plant growth in the northern high latitudes from 1981 to 1991. Nature 1997, 386:698-702.
40. Nash JE, Sutcliffe JV. River flow forecasting through conceptual models part I - a discussion of principles. Journal of Hydrology 1970, 10:282-290.
41. Picard G, Quegan S, Delbart N, Lomas MR, Le Toan T, Woodward FI. Bud-burst modelling in Siberia and its impact on quantifying the carbon budget. Global Change Biology 2005, 11:2164-2176.
42. Potts JT, Shi XRR, Raven PB. Carotid baroreflex responsiveness during dynamic exercise in humans. American Journal of Physiology 1993, 265:H1928-H1938.
43. Reed BC, Brown JF, Vanderzee D, Loveland TR, Merchant JW, Ohlen DO. Measuring phenological variability from satellite imagery. Journal of Vegetation Science 1994, 5:703-714.
44. Richardson AD, Bailey AS, Denny EG, Martin CW, O'Keefe J. Phenology of a northern hardwood forest canopy. Global Change Biology 2006, 12:1174-1188.
45. Rötzer T, Wittenzeller M, Haeckel H, Nekovar J. Phenology in central Europe - differences and trends of spring phenophases in urban and rural areas. International Journal of Biometeorology 2000, 44:60-66.
46. Sakamoto T, Yokozawa M, Toritani H, Shibayama M, Ishitsuka N, Ohno H. A crop phenology detection method using time-series MODIS data. Remote Sensing of Environment 2005, 96:366-374.
47. Schaber J, Badeck FW. Evaluation of methods for the combination of phenological time series and outlier detection. Tree Physiology 2002, 22:973-982.
48. Schaber J, Badeck FW. Plant phenology in Germany over the 20th century. Regional Environmental Change 2005, 5:37-46.
49. Schwartz MD, Reed BC. Surface phenology and satellite sensor-derived onset of greenness: an initial comparison. International Journal of Remote Sensing 1999, 20:3451-3457.
50. Schwartz MD, Reiter BE. Changes in North American spring. International Journal of Climatology 2000, 20:929-932.
51. Schwartz MD, Reed BC, White MA. Assessing satellite-derived start-of-season measures in the conterminous USA. International Journal of Climatology 2002, 22:1793-1805.
52. Slayback DA, Pinzon JE, Los SO, Tucker CJ. Northern hemisphere photosynthetic trends 1982-99. Global Change Biology 2003, 9:1-15.
53. Soudani K, le Maire G, Dufrene E, Francois C, Delpierre N, Ulrich E, Cecchini S. Evaluation of the onset of green-up in temperate deciduous broadleaf forests derived from Moderate Resolution Imaging Spectroradiometer (MODIS) data. Remote Sensing of Environment 2008, 112:2643-2655.
54. Stöckli R, Vidale PL. European plant phenology and climate as seen in a 20-year AVHRR land-surface parameter dataset. International Journal of Remote Sensing 2004, 25:3303-3330.
55. Stöckli R, Rutishauser T, Dragoni D. Remote sensing data assimilation for a prognostic phenology model. Journal of Geophysical Research-Biogeosciences 2008, 113:19.
56. Studer S, Appenzeller C, Defila C. Inter-annual variability and decadal trends in alpine spring phenology: a multivariate analysis approach. Climatic Change 2005, 73:395-414.
57. Studer S, Stöckli R, Appenzeller C, Vidale PL. A comparative study of satellite and ground-based phenology. International Journal of Biometeorology 2007, 51:405-414.
58. Theurillat J-P, Guisan A. Potential impact of climate change on vegetation in the European Alps: a review. Climatic Change 2001, 50:77-109.
59. Walkovszky A. Changes in phenology of the locust tree (Robinia pseudoacacia L) in Hungary. International Journal of Biometeorology 1998, 41:155-160.
60. White MA, Brunsell NA, Schwartz MD. Vegetation phenology in global change studies. Phenology: An Integrative Environmental Science 2003, 453-466. Schwartz MD, ed, Kluwer, Dordrecht
61. White MA, de Beurs KM, Didan K. Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982-2006. Global Change Biology 2009, 10:2335-2359.
62. White MA, Thornton PE, Running SW. A continental phenology model for monitoring vegetation responses to interannual climatic variability. Global Biogeochemical Cycles 1997, 11:217-234.
63. Worrall J. Temperature effects on bud-burst and leaf-fall in subalpine larch. Journal of Sustainable Forestry 1993, 1:1-18.
64. Worrall J. Phenology and the changing seasons. Nature 1999, 399:101.
65. Zhang XY, Friedl MA, Schaaf CB. Monitoring vegetation phenology using MODIS. Remote Sensing of Environment 2003, 84:471-475.
66. Zhou LM, Tucker CJ, Kaufmann RK, Slayback D, Shabanov NV, Myneni RB. Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999. Journal of Geophysical Research-Atmospheres 2001, 106:20069-20083.