FORMIT-M is a widely applicable, open-access, simple and flexible, climate-sensitive forest management simulator requiring only standard forest inventory data as input. It combines a process-based carbon balance approach with a strong inventory-based empirical component. The model has been linked to the global forest sector model EFI-GTM to secure consistency between timber cutting and demand, although prescribed harvest scenarios can also be used. Here we introduce the structure of the model and demonstrate its use with example simulations until the end of the 21st century in Europe, comparing different management scenarios in different regions under climate change. The model was consistent with country-level statistics of growing stock volumes (R-2=0.938) and its projections of climate impact on growth agreed with other studies. The management changes had a greater impact on growing stocks, harvest potential and carbon balance than projected climate change, at least in the absence of increased disturbance rates.
1.Univ Helsinki, Dept Forest Sci, POB 27,Latokartanonkaari 7, FIN-00014 Helsinki, Finland 2.Univ Nat Resources & Life Sci, Inst Silviculture, Dept Forest & Soil Sci, Peter Jordan Str 82, A-1190 Vienna, Austria 3.Univ Hamburg, Ctr Wood Sci, World Forestry, D-21031 Hamburg, Germany 4.Warsaw Univ Life Sci, Fac Forestry, Dept Dendrometry & Forest Prod, Nowoursynowska 159, PL-02787 Warsaw, Poland 5.Katholieke Univ Leuven, Univ Leuven, Div Forest Nat & Landscape, Celestijnenlaan 200E,Box 2411, BE-3001 Leuven, Belgium 6.Univ Firenze, Dept Agr Food & Forestry Syst, GeoLAB Lab Forest Geomat, Via San Bonaventura 13, I-50145 Florence, Italy 7.Univ Tartu, Tartu Observ, Fac Sci & Technol, Observatooriumi 1, EE-61602 Toravere, Tartumaa, Estonia 8.Czech Univ Life Sci, Fac Forestry & Wood Sci, Kamycka 129, Prague 16521 6, Czech Republic 9.Wageningen Univ & Res, Forest Ecol & Forest Management Grp, POB 6700, Wageningen, Netherlands 10.European Forest Inst EFI, Yliopistokatu 6, Joensuu 80100, Finland 11.Nuoro Forestry Sch, Via Cristoforo Colombo Snc, I-08100 Nuoro, Italy 12.Norwegian Univ Life Sci, Fac Environm Sci & Nat Resource Management, POB 5003, NO-1432 As, Norway 13.Inst Technol FCBA, 10 Rue Galilee, F-77420 Champs Sur Marne, France 14.Swiss Fed Inst Technol, Dept Environm Syst Sci, Inst Agr Sci, CH-8092 Zurich, Switzerland 15.Swiss Fed Inst Forest Snow & Landscape Res WSL, Zuercherstr 111, CH-8903 Birmensdorf, Switzerland
Recommended Citation:
Harkonen, S.,Neumann, M.,Mues, V.,et al. A climate-sensitive forest model for assessing impacts of forest management in Europe[J]. ENVIRONMENTAL MODELLING & SOFTWARE,2019-01-01,115:128-143