Appendix C. The Pearson correlation coefficients for precipitation variables and the moments of the trait distribution in plots and 1° grid cells.

The Pearson correlation coefficients for precipitation variables and the moments of the trait distribution in plots and 1° grid cells

Appendix B. The results of a regression through the origin where the moments of the trait distribution of plots and grid cells calculated using presence–absence weighting are regressed on the mean trait values calculated using abundance weighting.

The results of a regression through the origin where the moments of the trait distribution of plots and grid cells calculated using presence–absence weighting are regressed on the mean trait values calculated using abundance weighting

Appendix F. Maps of the moments of the trait distributions using presence–absence weighting in the FIA plots in 1° by 1° grid cells in eastern North America.

Maps of the moments of the trait distributions using presence–absence weighting in the FIA plots in 1° by 1° grid cells in eastern North America

Appendix A. A list describing the literature sources and online databases from where the functional trait data were obtained.

A list describing the literature sources and online databases from where the functional trait data were obtained

Appendix H. The moments of the trait distribution in FIA plots weighted by abundance in the five Holdridge life zones in the study area.

The moments of the trait distribution in FIA plots weighted by abundance in the five Holdridge life zones in the study area

Appendix J. The moments of the trait distribution in FIA plots in 1° grid cells weighted by abundance in the five Holdridge life zones in the study area.

The moments of the trait distribution in FIA plots in 1° grid cells weighted by abundance in the five Holdridge life zones in the study area

Appendix D. The Pearson correlation coefficients for temperature variables and the moments of the trait distribution in plots and 1° grid cells.

The Pearson correlation coefficients for temperature variables and the moments of the trait distribution in plots and 1° grid cells

Appendix C. Details of statistical methods for comparing SAD fits.

Details of statistical methods for comparing SAD fits

Appendix B. Summaries of empirical tests.

Summaries of empirical tests

Supplement 1. The Matlab source code containing the algorithm described in Appendix D to fit the analytical ZSM.

<h2>File List</h2><blockquote> <p><b>Individual Matlab files</b></p> <blockquote> <p><a href="estimate_anal_ZSM.m">estimate_anal_ZSM.m</a><br> <a href="estimate_anal_zsm_theta.m">estimate_anal_zsm_theta.m</a><br> <a href="expphi.m">expphi.m</a> <br> <a href="getphi.m">getphi.m</a><br> <a href="isvector.m">isvector.m</a><br> <a href="myhistc.m">myhistc.m</a><br> <a href="philocal.m">philocal.m</a><br> <a href="plotexpphi.m">plotexpphi.m</a><br> <a href="sadhist.m">sadhist.m</a><br> <a href="solvetheta.m">solvetheta.m</a><br> </p> </blockquote> <p><b>All files at once</b></p> <blockquote> <p><a href="anzsm.zip">anzsm.zip</a> - Contains all Matlab files </p> </blockquote> <p> </p> </blockquote><h2>Description</h2><blockquote> <p>This paper will calculate Eq. 7 in Volkov et al. (2003. Nature <b>424</b>:1035–1037) and estimate the parameters θ and m that make the ZSM best fit a particular data set. Details are found at <a href="appendix-D.htm">Appendix D</a>. </p> </blockquote