Co-ordinating Editor: Dr. Ingolf Kühn.
Ecophysiological and bioclimatic foundations for a global plant functional classification
Article first published online: 15 DEC 2009
© 2009 International Association for Vegetation Science
Journal of Vegetation Science
Volume 21, Issue 2, pages 300–317, April 2010
How to Cite
Harrison, S. P., Prentice, I. C., Barboni, D., Kohfeld, K. E., Ni, J. and Sutra, J.-P. (2010), Ecophysiological and bioclimatic foundations for a global plant functional classification. Journal of Vegetation Science, 21: 300–317. doi: 10.1111/j.1654-1103.2009.01144.x
- Issue published online: 22 FEB 2010
- Article first published online: 15 DEC 2009
- Received 18 February 2009; Accepted 21 October 2009.
Fig. S1. Relationships between meteorological and bioclimatic variables related to cold tolerance: January mean temperature compared to the mean temperature of the coldest month (Tc) for the northern hemisphere (NH); July mean temperature compared to Tc for the southern hemisphere (SH); global comparison of Tc and Tmin. January temperature is well correlated with Tc in the NH (r2=1.00) and July temperature is well correlated with Tc in the SH (r2=1.00). Tc and Tmin are well correlated globally (r2=0.88) and a polynomial function of Tc can be substituted for Tmin in a first-order analysis (Prentice et al. 1992a). However, the difference between Tc and Tmin is systematically less in the SH.
Fig. S2. Relationships between meteorological and bioclimatic variables related to heat stress: July mean temperature compared to mean temperature of the warmest month (Tw) for the NH; January mean temperature compared to Tw for the SH; global comparison of Tw and Tmax. July temperature and Tw are well correlated in the NH (r2=0.99) and January temperature is well correlated with Tw in the SH (r2=0.98), but the global relation between Tw and Tmax is weak (r2=0.53).
Fig. S3. Dependence of GDD5 on Tw globally and on seasonal temperatures in the NH and SH.
Fig. S4. Relationships between meteorological and bioclimatic variables related to drought tolerance: annual precipitation versus the ratio of precipitation to equilibrium evapotranspiration (P/Eq); P/Eq versus the ratio of actual to equilibrium evapotranspiration (α). P is a poor predictor of P/Eq (r2=0.389). α is correlated (r2=0.64) with P/Eq but there are deviations, especially in Mediterranean-type climates, reflecting the role of rainfall seasonality in determining the partitioning of P between plant-available moisture and runoff (Prentice et al. 1992b; Barboni & Bonnefille 2001).
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Please note: Wiley Blackwell is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.