Abstract
AbstractProcess‐based forest models (PBMs) are important tools for quantifying forest growth and vulnerability, particularly under climate change. The 3‐PG model (Physiological Processes Predicting Growth) is one of the most widely used forest growth simulators for this purpose worldwide.Here, we presentr3PG, a newFortranimplementation of 3‐PG, wrapped into anrpackage.r3PGcan simulate monospecific as well as mixtures of evergreen and deciduous tree species in even‐aged or uneven‐aged stands.The combination ofFortranfunctions with anrinterface makes the model extremely fast. This facilitates the use ofr3PGfor extensive computer experiments and sensitivity analysis. We demonstrate this in a case study including (a) single model runs; (b) a sensitivity analysis and a full Bayesian calibration of the model and (c) spatial simulations of forest growth across Switzerland.r3PGis faster and easier to use than previous implementations of 3‐PG in visual basic. We believe that this will make 3‐PG even more useful and popular for ecologists and climate change scientists.
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