Fig. 3: Bayesian mixed-effects models results for the effects and contributions of multiple predictive variables on log-transformed response ratio (LRR) of herbaceous community foliar fungal pathogen load between shrub patches and grassland patches’ plots (i.e., LRR pathogen load). | Nature Communications

Fig. 3: Bayesian mixed-effects models results for the effects and contributions of multiple predictive variables on log-transformed response ratio (LRR) of herbaceous community foliar fungal pathogen load between shrub patches and grassland patches’ plots (i.e., LRR pathogen load).

From: Temperature-dependent variations in under-canopy herbaceous foliar diseases following shrub encroachment in grasslands

Fig. 3

The effects (a) and contributions (b) of log-transformed response ratio (LRR) of soil properties and plant characteristics on herbaceous community foliar fungal pathogen load between shrub patches and grassland patches’ plots (i.e., LRR pathogen load) using Bayesian mixed-effects models. Mean annual temperature (MAT), mean annual precipitation (MAP), the first principal component of soil variables (i.e., LRR soil PC1), herbaceous plant community aboveground biomass (i.e., LRR herbaceous biomass), community weighted mean (CWM) of specific leaf area (i.e., LRR CWM of specific leaf area), CWM of height (LRR CWM of height), species richness (i.e., LRR species richness), mean phylogenetic pairwise distance (i.e., LRR mean phylogenetic pairwise distance) and beta diversity (based on Bray–Curtis distance) of herbaceous community composition between shrub patches and grassland patches are depicted. The distribution and mean, as well as 50% and 95% credible intervals of the parameters are presented; n = 281 for the Bayesian mixed-effects models.

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