Determinants of distribution of six Pinus species in Catalonia, Spain
Article first published online: 24 FEB 2009
2001 IAVS - the International Association of Vegetation Science
Journal of Vegetation Science
Volume 12, Issue 4, pages 491–502, August 2001
How to Cite
Rouget, M., Richardson, D. M., Lavorel, S., Vayreda, J., Gracia, C. and Milton, S. J. (2001), Determinants of distribution of six Pinus species in Catalonia, Spain. Journal of Vegetation Science, 12: 491–502. doi: 10.2307/3237001
- Issue published online: 24 FEB 2009
- Article first published online: 24 FEB 2009
- Received 28 June 2000; Revision received 15 January 2001; Accepted 8 March 2001.
- Classification and regression trees;
- Environmental modelling;
- Mediterranean Basin;
- Pinus halepensis;
- Potential distribution;
- Species interaction
- Price et al. (1998) for Pinus;
- Tutin et al. (1964) for Quercus.
Abstract. This study explores the determinants of distribution, abundance and regeneration of six Pinus species (P. halepensis, P. nigra, P. pinaster, P. pinea, P. sylvestris and P. uncinata) that occur naturally in Catalonia, northeastern Spain. The aim of this study was to generate accurate predictions of the distribution of each species using simple and readily available environmental variables. We used recursive partitioning and GIS analyses to relate the data base of 10 600 field plots from the Forestry Inventory of Catalonia with abiotic and biotic characteristics of each plot. We present general patterns of distribution, dominance and regeneration for the six species and then focus on P. halepensis, the most abundant pine species in the western Mediterranean Basin. For all six species, the models correctly classified more than 80% of the distribution using abiotic factors, mainly altitude and rainfall variability. Biotic factors such as the basal area of other pine species were necessary to accurately predict patterns of pine species dominance. Biotic factors, especially the basal area of evergreen species (mainly Quercus ilex), were of overriding importance when predicting patterns of seedling occurrence. Potentially important factors such as land use and fire history were of little significance for predicting distribution at the scale of our study. Our models failed to predict accurately which species (and in which numbers) co-occur with P. halepensis. Factors not included in this study, such as stand age, disturbance (cutting, clearing) and other human-induced factors, are probably the main determinants of co-existence patterns.