Zusammenfassung
Process-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 ...
Zusammenfassung
Process-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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