Contrasting trait responses in plant communities to experimental and geographic variation in precipitation
Article first published online: 21 JUL 2010
© The Authors (2010). Journal compilation © New Phytologist Trust (2010)
Special Issue: Featured papers on ‘Pollinator-mediated selection and floral evolution’
Volume 188, Issue 2, pages 565–575, October 2010
How to Cite
Sandel, B., Goldstein, L. J., Kraft, N. J.B., Okie, J. G., Shuldman, M. I., Ackerly, D. D., Cleland, E. E. and Suding, K. N. (2010), Contrasting trait responses in plant communities to experimental and geographic variation in precipitation. New Phytologist, 188: 565–575. doi: 10.1111/j.1469-8137.2010.03382.x
- Issue published online: 21 JUL 2010
- Article first published online: 21 JUL 2010
- Received: 27 April 2010, Accepted: 4 June 2010
- climate change;
- functional ecology;
- plant communities;
- plant functional traits;
- •Patterns of precipitation are likely to change significantly in the coming century, with important but poorly understood consequences for plant communities. Experimental and correlative studies may provide insight into expected changes, but little research has addressed the degree of concordance between these approaches.
- •We synthesized results from four experimental water addition studies with a correlative analysis of community changes across a large natural precipitation gradient in the United States. We investigated whether community composition, summarized with plant functional traits, responded similarly to increasing precipitation among studies and sites.
- •In field experiments, increased precipitation favored species with small seed size, short leaf life span and high leaf nitrogen (N) concentration. However, with increasing precipitation along the natural gradient, community composition shifted towards species with higher mean seed mass, longer leaf life span and lower leaf N concentrations.
- •The differences in temporal and spatial scale of experimental manipulations and natural gradients may explain these contrasting results. Our results highlight the complexity of responses to climate change, and suggest that transient dynamics may not reflect long-term shifts in functional diversity and community composition. We propose a model of community change that incorporates these differences between short- and long-term responses to climate change.