“…Studies of mushroom dynamics show the influence of site characteristics (altitude [11], slope, aspect), stand variables (tree species, stand density, stand age [12], basal area [13], dominant height, tree growth [14,15]), soil properties [16,17] and weather conditions (precipitation, temperature [18,19]). Different approaches have been used in mushroom modeling, including correlations [20], stepwise multiple regressions [21], classificatory simple model [22], linear and nonlinear models [23,24], mixed models [13,14,17,18,25,26] or the two-step model approach [27,28]. Most of the models incorporate the stochastic between-plot and between-year structure to account for nested structures in the data [29] and thereby avoid biased standard error estimators of the parameters.…”