Editor: Bill Shipley
Diverse responses of forest growth to drought time-scales in the Northern Hemisphere
Version of Record online: 22 APR 2014
© 2014 John Wiley & Sons Ltd
Global Ecology and Biogeography
Volume 23, Issue 9, pages 1019–1030, September 2014
How to Cite
Vicente-Serrano, S. M., Camarero, J. J. and Azorin-Molina, C. (2014), Diverse responses of forest growth to drought time-scales in the Northern Hemisphere. Global Ecology and Biogeography, 23: 1019–1030. doi: 10.1111/geb.12183
- Issue online: 13 AUG 2014
- Version of Record online: 22 APR 2014
- Spanish Commission of Science and Technology. Grant Numbers: CGL2011-27574-CO2-02, CGL2011-27536, CGL2011-26654
- Organismo Autónomo Parques Nacionales (Spain). Grant Numbers: 012/2008, 387/2011
- LIFE programme of the European Commission
- ‘Comunidad de Trabajo de los Pirineos’. Grant Number: CTTP1/12
Figure S1 Evolution of the 2-, 6-, 12- and 24-month-long standardized precipitation–evapotranspiration index (SPEI) drought index over the period 1945–2006 in the Pratomagno range of the Appenine Mountains (Italy).
Figure S2 The detrending procedure did not modify the correlations (colour scale) obtained between tree-ring width indices and standardized precipitation–evapotranspiration index (SPEI) at different monthly time-scales (x-axis).
Figure S3 Cumulative and relative (percentages) variances of the principal components (PC) obtained by principal components analysis (PCA).
Figure S4 Spatial distribution of the loadings of the (a) third, (b) fourth, (c) fifth and (d) sixth principal components (colour scales) of the principal components analysis applied to the correlations calculated between the tree-ring width indices and different standardized precipitation–evapotranspiration index (SPEI) monthly time-scales.
Table S1 Percentages of tree families corresponding to the most representative groups of growth responses to drought determined by a principal components analysis.
Table S2 Percentage of tree species included within the groups corresponding to the main principal components (PC1, PC2 and PC3) obtained using a principal components analysis (PCA) based on the correlations calculated between the tree-ring width indices and different standardized precipitation–evapotranspiration index (SPEI) monthly time-scales.
Appendix S1 Supplementary figures and tables.
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