Trotsiuk, Volodymyr and Hartig, Florian and Forrester, David I. (2020) r3PG-Anrpackage for simulating forest growth using the 3-PG process-based model. METHODS IN ECOLOGY AND EVOLUTION, 11 (11). pp. 1470-1475. ISSN 2041-210X, 2041-2096
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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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | SPECIES INTERACTIONS; VEGETATION MODELS; TEMPORAL DYNAMICS; FAGUS-SYLVATICA; PARAMETERIZATION; PRODUCTIVITY; SENSITIVITY; MANAGEMENT; 3-PGpjs; 3-PGmix; forest biomass; forest productivity; model calibration |
| Subjects: | 500 Science > 580 Botanical sciences |
| Divisions: | Biology, Preclinical Medicine > Institut für Pflanzenwissenschaften > Group Theoretical Ecology (Prof. Dr. Florian Hartig) |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 15 Mar 2021 05:43 |
| Last Modified: | 15 Mar 2021 05:43 |
| URI: | https://pred.uni-regensburg.de/id/eprint/43760 |
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