Combined dendroecological and normalized difference vegetation index analysis to detect regions of provenance in forest species

Scandinavian Journal of Forest Research

Volumn 25, Issue SUPPL. 8, 2010, Pages 121-125

  Alessandrini, A ^a   Vessella, F ^a   Di Filippo, A ^a   Salis, A ^a   Santi, L ^a   Schirone, B ^a   Piovesan, G ^a  

^a UNIVERSITY OF TUSCIA   (Italy)

Author keywords

Dendroecology; Latium; NDVI; Phenology; Regions of provenance

Indexed keywords

BEECH TREES; CLIMATIC PARAMETERS; DENDROECOLOGY; ECOLOGICAL PARAMETERS; ECOLOGICAL REGIONS; EUROPEAN COUNTRIES; EVOLUTIONARY DIFFERENTIATION; FOREST SPECIES; FOREST STAND; GENETIC RESOURCES; GEOGRAPHICAL INFORMATION SYSTEM; HIERARCHICAL CLUSTER ANALYSIS; NATURAL SELECTION; NORMALIZED DIFFERENCE VEGETATION INDEX; PHOTOSYNTHETIC ACTIVITY; PLANT GROWTH; PLANT MATERIAL; VEGETATION DYNAMICS;

CLUSTER ANALYSIS; FINANCIAL DATA PROCESSING; FORESTRY; GEOGRAPHIC INFORMATION SYSTEMS; GEOGRAPHICAL REGIONS; HIERARCHICAL SYSTEMS; PLANT LIFE EXTENSION; VEGETATION;

PRINCIPAL COMPONENT ANALYSIS;

EUROPE; FOREST MANAGEMENT; FORESTRY; FORESTS; GIS; HIERARCHICAL SYSTEMS; PHENOLOGY; PLANTS; PROVENANCE; SELECTION;

FAGUS;

EID: 77954574978     PISSN: 02827581     EISSN: 16511891     Source Type: Journal    
DOI: 10.1080/02827581.2010.485776     Document Type: Article

References (20)

1. Biondi, F. (1992). Development of a tree-ring network for the Italian Peninsula. Tree-ring Bulletin, 52, 15-29.
2. Biondi, F. & Visani, S. (1996). Recent developments in the analysis of an Italian tree-ring network with emphasis on European beech (Fagus sylvatica L.). In J. S. Dean, D. M. Meko, & T. W. Swetnam (Eds.), Tree rings, environment and humanity. Special Volume. Radiocarbon, 713-725.
3. Chen, J., Jonsson, P., Tamura, M., Gu, Z., Matsushita, B. & Eklundh., L. (2004). a simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter. Remote Sensing of Environment, 91, 332-344.
4. De Philippis, A. (1937). Classificazioni ed indici del clima in rapporto alla vegetazione forestale italiana. Nuovo Giornale Botanico Italiano, XLIV, 1-169.
5. Di Filippo, A., Biondi, F., Cufar, K., de Luis, M., Grabner, M., Maugeri, M., et al. (2007). Bioclimatology of beech (Fagus sylvatica L.) in the eastern Alps: Spatial and altitudinal climatic signals identified through a tree-ring network. Journal of Biogeography, 34, 1873-1892.
6. Dittmar, C., Zech, W. & Elling, W. (2003). Growth variations of common beech (Fagus sylvatica L.) under different climatic and environmental conditions in Europe*A dendroecological study. Forest Ecology and Management, 173, 63-78.
7. European Union (1999). Council Directive 1999/105/EC of 22 December 1999 on the marketing of forest reproductive material. EU: Official Journal, L 011, 15/01/2000, pp. 0017-0040.
8. Fassnacht, S., Gower, S. T., MacKenzie, M. D., Nordheim, E. V. & Lillesand, T. M. (1997). Estimating the leaf area index of north central Wisconsin forests using the Landsat Thematic Mapper. Remote Sensing of Environment, 61, 229-245.
9. Geerken, R. A. (2009). An algorithm to classify and monitor seasonal variations in vegetation phenologies and their inter- annual change. ISPRS Journal of Photogrammetry and Remote Sensing, 64, 422-431.
10. Jonsson, P. & Eklundh, L. (2002). Seasonality extraction by function fitting to time-series of satellite sensor data. IEEE Transactions on Geoscience and Remote Sensing, 40, 1824-1832.
11. Ludwig, J. A. & Reynolds, J. F. (1988). Statistical ecology. New York: John Wiley & Sons.
12. Neteler, M. & Mitasova, H. (2008). Open source GIS: A GRASS GIS approach (3rd ed.). International Series in Engineering and Computer Science: Vol. 773. New York: Springer.
13. Pen ̃uelas, J. & Boada, M. (2003). A global change-induced biome shift in the Montseny Mountains (NE Spain). Global Change Biology, 9, 131-140.
14. Piovesan, G., Biondi, F., Bernabei, M., Di Filippo, A. & Schirone, B. (2005). Spatial and altitudinal bioclimatic zones of the Italian peninsula identified from a beech (Fagus sylvatica L.) tree-ring network. Acta Oecologica, 27, 197-210.
15. R Development Core Team (2009). R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. http://www.R-project.org
16. Steltzer, H. & Post, E. (2009). Seasons and life cycles. Science, 324,886-887.
17. Tucker, C. J. & Sellers, P. J. (1986). Satellite remote sensing of primary production. International Journal of Remote Sensing, 7,1395-1416.
18. Verbesselt, J., Hyndman, R., Newnham, G. & Culvenor, D. (2010). Detecting trend and seasonal changes in satellite image time series. Remote Sensing of Environment, 114, 106-115.
19. Veroustraete, J. P. & Myneni, R. B. (1996). Estimating net ecosystem exchange of carbon using the normalized difference vegetation index and an ecosystem model. Remote Sensing of Environment, 58, 115-130.
20. Wang, J., Rich, P. M., Price, K. P. & Kettle, W. D. (2004). Relations between NDVI and tree productivity in the central Great Plains. International Journal of Remote Sensing, 25, 3127-3138.