R3PG – An r package for simulating forest growth using the 3‐PG process‐based model. Issue 11 (25th September 2020)

• Record Type: Journal Article
• Authors: Trotsiuk, Volodymyr; Hartig, Florian; Forrester, David I.
• Editors: Goslee, Sarah
• Is Part Of: Methods in ecology and evolution. Volume 11:Issue 11(2020)
• Page Start: 1470
• Page End: 1475
• Publication Date: 2020-09-25
• Subjects: 3‐PGpjs -- 3‐PGmix -- forest biomass -- forest productivity -- model calibration; Ecology -- Periodicals; Evolution -- Periodicals; 577
• DOI: 10.1111/2041-210X.13474
• Languages: English
• ISSNs: 2041-210X

Abstract

Abstract: 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 present r3PG, a new Fortran implementation of 3‐PG, wrapped into an r package. r3PG can simulate monospecific as well as mixtures of evergreen and deciduous tree species in even‐aged or uneven‐aged stands. The combination of Fortran functions with an r interface makes the model extremely fast. This facilitates the use of r3PG for 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. r3PG is 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.