# Community Abundance of Resprouting in Woody Plants Reflects Fire Return Time, Intensity, and Type
## 5 Conclusions  
There is a significant relationship between fire frequency and the proportion of resprouters. Other factors that might influence the fire regime are also significantly related to the proportion of resprouters. Specifically, the proportion of resprouters increases with GPP and decrease with the FRI and grass cover, which implies that plants with the ability to resprout occur more often where fire regimes are characterised by high-frequency and high-intensity crown fires. Establishing quantitative relationships between the proportion of resprouters and the FRI and fire type opens the possibility to model resprouting as a consequence of the characteristics of the fire regime and to model the consequences of changing fire regimes on ecosystem properties. More species-level information about fire-adaptive traits and longer records of the fire properties that control the abundance of such traits would be useful to improve our ability to model these relationships in a quantitative way. **Supplementary Materials:** The following supporting information can be downloaded at [[https://www.mdpi.com/article/10.3390/f14050878/s1](https://www.mdpi.com/article/10.3390/f14050878/s1)]([https://www.mdpi.com/article/10.3390/f14050878/s1](https://www.mdpi.com/article/10.3390/f14050878/s1)), Table S1: The resprouting classification of woody species in Australia and Europe. Species with the ability to resprout are shown in bold. Species without the ability to resprout are shown in regular. Figure S1: Changes in the incidence of resprouting woody plants (P1(resprouter)) as a function of fire return interval (FRI) in Australia (a) and Europe (b). FRI is derived from MODIS MCD64 CMQ. Individual plot values are shown as blue dots, the red dots show the mean, the black lines show the median, and the boxes show the interquartile range of the relative proportion of resprouters. The significance of mean and median differences in different FRI categories are indicated by different letters in red (mean) and black (median) separately. The number of observations in each category is indicated in brackets. Figure S2: Changes in the incidence of resprouting woody plants (P1(resprouter)) as a function of fire return interval (FRI) with FRI derived from FireCCI51, FireCCI10 LT and simulated burnt area. Combined plots data from Australia and Europe were used. Individual plot values are shown as blue dots, the red dots show the mean, the black lines show the median, and the boxes show the interquartile range of the relative proportion of resprouters. The significance of mean and median differences in different FRI categories are indicated by different letters in red (mean) and black (median) separately. The number of observations in each category is indicated in brackets. Figure S3: Pairwise correlations between fire return interval, GPP and grass cover. Table S2: Summary statistics from the GLM with sPlotOpen data from Australia and Europe separately. FRI is derived from MODIS MCD64 CMQ. Proportion of resprouter is calculated as P1(resprouter). Standard error reflects variability associated with the coefficient estimate. Z-value is obtained by dividing the coefficient estimate by the standard error. VIF is the variance inflation factor. Table S3: Summary statistics from the GLM with FRI derived from FireCCI51, FireCCI10 LT and simulated burnt area. The combined plots data from Australia and Europe were used. Proportion of resprouter is calculated as P1(resprouter). Standard error reflects variability associated with the coefficient estimate. Z-value is obtained by dividing the coefficient estimate by the standard error, *** indicates \(p\)-value is less than 0.001. VIF is the variance inflation factor. Pseudo-R\({}^{2}\) is the Cragg-Uhler pseudo-R\({}^{2}\)[68]. Figure S4: Partial residual plots for the incidence of resprouting as functions of FRI, GPP and grass cover (herb cover). FRI derived from FireCCI51, FireCCI10 LT and simulated burnt area. The dashed line is the fitted regression line.