Variance-based sensitivity analysis of a forest growth model

► Sensitivity analysis is crucial to quantify model uncertainties. ► A global sensitivity analysis for a forest growth model is performed. ► Screening and variance-based methods are combined to get sensitive parameters. ► Sensitivities of input parameters to model outputs are determined quantitatively. ► Parameter sensitivities may change as simulation time becomes longer.