During the 2008 ice storm, large parts of the Gutianshan Nature Park were effected. Comparative study sites (CSPs) were selected in sites with overall low damage from the ice storm. Here we list tree stems that were either living, or killed by the ice storm based on field work of SP1 and SP10. Data are combined from several files, most prominently "Coarse woody debris (CWD): Collection of data on dead wood with special regard to the 2008 ice storm", "Tree stem reference list for the Comparative Study Sites (CSPs)", and "Tree size in the CSPs in 2008 and 2009 ". The dataset also includes estimated mortality risk based on a three Parameter Rickerts function and the residuals resulting from that model.

"In the 30x30m CSPs the central of 9 subplots was mapped in greater detail than the remaining 8 plots, resulting in more tree stems <10cm in the central plot only. We checked for duplicated stems based on the stemID. There is an attached files with an R script, with which the data were generated. ---- We used the Power Rickerts function (Bolker 2007) to estimate size dependent mortality due to the ice storm for all individuals. The function describes a uni-modal curve through the origin and returning to zero mortality risk for very large individuals: p=(p ) ̂(x/x ̂ e^((1-x/x ̂ )^α ) ) The three parameters of the Power Rickerts function are maximum mortality ((p ) ̂), diameter at maximum mortality (x ̂), and a scaling factor increasing the slope of the curve reaching maximum mortality (α). We used Bayesian inference and Gibbs Sampling via Markov Chain Monte Carlo (JAGS: Plummer, 2003) with uninformative priors to derive mortality risk estimates for each tree individual and to estimate model parameters and their confidence intervals.

Comparative Study sites, BEF China Experiment, Gutianshan, China 29°08'-29°17'N 118°02'-118°11'E

Living stems in 2008, killed stems in 2008 and early 2009.

Tree species names as in the reference list for tree species.

Use this file to extrapolate tree mass before and after the ice storm.