Predicting the limits to tree height using statistical regressions of leaf traits
Article first published online: 16 FEB 2007
Volume 174, Issue 3, pages 626–636, May 2007
How to Cite
Burgess, S. S. O. and Dawson, T. E. (2007), Predicting the limits to tree height using statistical regressions of leaf traits. New Phytologist, 174: 626–636. doi: 10.1111/j.1469-8137.2007.02017.x
- Issue published online: 16 FEB 2007
- Article first published online: 16 FEB 2007
- Received: 6 November 2006 Accepted: 20 December 2006
- height growth;
- hydraulic limitations;
- leaf mass area;
- carbon isotope discrimination;
- tree crowns
- • Leaf morphology and physiological functioning demonstrate considerable plasticity within tree crowns, with various leaf traits often exhibiting pronounced vertical gradients in very tall trees. It has been proposed that the trajectory of these gradients, as determined by regression methods, could be used in conjunction with theoretical biophysical limits to estimate the maximum height to which trees can grow.
- • Here, we examined this approach using published and new experimental data from tall conifer and angiosperm species.
- • We showed that height predictions were sensitive to tree-to-tree variation in the shape of the regression and to the biophysical endpoints selected. We examined the suitability of proposed end-points and their theoretical validity. We also noted that site and environment influenced height predictions considerably.
- • Use of leaf mass per unit area or leaf water potential coupled with vulnerability of twigs to cavitation poses a number of difficulties for predicting tree height. Photosynthetic rate and carbon isotope discrimination show more promise, but in the second case, the complex relationship between light, water availability, photosynthetic capacity and internal conductance to CO2 must first be characterized.