Nomenclature: Rothmaler (1994).
A parsimonious combination of functional traits predicting plant response to disturbance and soil fertility
Article first published online: 29 JAN 2009
2008 IAVS - the International Association of Vegetation Science
Journal of Vegetation Science
Volume 19, Issue 5, pages 681–692, October 2008
How to Cite
Kühner, A. and Kleyer, M. (2008), A parsimonious combination of functional traits predicting plant response to disturbance and soil fertility. Journal of Vegetation Science, 19: 681–692. doi: 10.3170/2008-8-18436
Acknowledgements. The MOSAIK project was funded by the German Federal Ministery of Education and Research under FKZ 01 LN 0007. We thank the nature conservation authorities of the Hassberge for admission to the area, the Field Station of the University of Würzburg for logistic support, Vasco Brummer for help with soil sampling, Ingolf Kühn for providing an R function and help with phylogenies, and two referees for comments on the manuscript. We also thank Silke Hein, Birgit Binzenhöfer, and Katrin Fritzsch for the sampling design, and Cord Peppler-Lisbach for help with statistics in R.
- Issue published online: 29 JAN 2009
- Article first published online: 29 JAN 2009
- Received 3 September 2007; Accepted 7 November 2007;
- Canopy height;
- Habitat model;
- Plant functional group;
- Plant life span;
- Seed mass;
- Seed number
1. How many traits associated with persistence and regeneration are necessary to predict the response of plants to soil fertility and disturbance? 2. Are correlated changes in trait expressions linked to the response of functional groups to fertility and disturbance?
Lower Frankonia, Germany.
On 120 plots located in managed and abandoned grasslands, fields, and vineyards, we recorded species composition, disturbance intensity, soil water and nutrients, and ten candidate traits for 75 species. We used a novel method which is based on three steps: (1) logistic regression to separate responsive from non-responsive species; (2) iterative clustering of all possible combinations of the candidate traits including regression of each cluster in response to the environmental variables; (3) selection of the trait combination that performed best with respect to goodness of fit of all clusters from this combination. Bivariate trait relationships across functional groups were analysed with reduced major axis regression (RMA).
The parsimonious trait combination consisted of life span, specific leaf area (SLA), canopy height, and seed number. The ‘acquisitive’functional groups in terms of SLA and height were linked to higher fertility and earlier disturbance, while the ‘retentive’groups related to lower fertility and later disturbance. Investment in reproduction, however, displayed a reverse relation. SLA and canopy height showed correlated shifts in two pairs of co-occurring functional groups.
A small number of traits is sufficient to predict the response of species. Plants need a higher increment in SLA to reach the same height, if start of disturbance is earlier. Linkages between traits shift from generative to vegetative with increasing fertility and earlier start of disturbance. Functional groups enable shifts in scaling relationships between traits to be analysed, in contrast to the analysis of single traits.