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Evaluating scaling models in biology using hierarchical Bayesian approaches
Version of Record online: 27 APR 2009
© 2009 Blackwell Publishing Ltd/CNRS
Volume 12, Issue 7, pages 641–651, July 2009
How to Cite
Price, C. A., Ogle, K., White, E. P. and Weitz, J. S. (2009), Evaluating scaling models in biology using hierarchical Bayesian approaches. Ecology Letters, 12: 641–651. doi: 10.1111/j.1461-0248.2009.01316.x
- Issue online: 5 JUN 2009
- Version of Record online: 27 APR 2009
- Editor, Fangliang He Manuscript received 10 December 2008 First decision made 12 January 2009 Manuscript accepted 20 March 2009
Figure S1. Posterior distributions for the global exponents in the SPAM model for mass as the independent variable.
Tables S1-S3. Intraspecific exponent estimates for the Cannell, Sonoran and Leaf datasets from the SPAM model.
Table S4. Posterior means for terms associated with the covariance matrix Σ and the radius measurement error variance (σr).
Appendix S1. Intraspecific exponent estimates
Appendix S2. Hierarchical Bayesian model and results
Appendix S3. Winbugs code
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|ELE_1316_sm_SA2, FigS1, Table S4.doc||205K||Supporting info item|
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|ELE_1316_sm_Tables S1-S3.xls||66K||Supporting info item|
Please note: Wiley Blackwell is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.