Editor: Navin Ramankutty
Diversity increases carbon storage and tree productivity in Spanish forests
Article first published online: 29 OCT 2013
© 2013 John Wiley & Sons Ltd
Global Ecology and Biogeography
Volume 23, Issue 3, pages 311–322, March 2014
How to Cite
Ruiz-Benito, P., Gómez-Aparicio, L., Paquette, A., Messier, C., Kattge, J. and Zavala, M. A. (2014), Diversity increases carbon storage and tree productivity in Spanish forests. Global Ecology and Biogeography, 23: 311–322. doi: 10.1111/geb.12126
- Issue published online: 13 FEB 2014
- Article first published online: 29 OCT 2013
- FUNDIV. Grant Number: ENV.2010.2.1.4-1
- FPU fellowship. Grant Number: AP2008-01325
Figure S1 Observed versus predicted carbon storage for the best model in each forest type.
Figure S2 Predicted potential carbon storage as function of mean annual temperature, water deficit, tree density and tree height coefficient of variation for each forest type.
Figure S3 Observed versus predicted tree productivity for the best model in each forest type.
Figure S4 Predicted potential tree productivity as function of mean annual temperature, water deficit, tree density and tree height coefficient of variation for each forest type.
Figure S5 Predicted potential carbon storage and tree productivity as function of tree species richness.
Table S1 List of species names and family, forest type and species used to calculate the carbon storage and tree productivity.
Table S2 Description of the potential predictor variables of carbon storage and tree productivity.
Table S3 Functional traits used to compute trait-based diversity indices.
Table S4 Mean values of carbon storage, tree productivity and the rest of the predictor variables included in the best model. Number of plots and species composition of each forest type are also given.
Table S5 Parameter estimates and two-unit support intervals for the most parsimonious total carbon storage model for each of the seven forest types defined.
Table S6 Parameter estimates and two-unit support intervals for the most parsimonious tree productivity model for each of the seven forest types defined.
Appendix S1 Further details regarding the methods used and variable selection.
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