Abstract
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.
| Language | English |
|---|---|
| Pages | 128-143 |
| Journal | Environmental Modelling and Software |
| Volume | 115 |
| DOIs | |
| Publication status | Published - 1 May 2019 |
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Keywords
- Bioeconomy
- Bioenergy
- Disturbances
- Forest planning
- FORMIT
- Model
- NPP
- Scenario analysis
- Sustainability
- Timber harvests
Cite this
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A climate-sensitive forest model for assessing impacts of forest management in Europe. / Härkönen, S.; Neumann, M.; Mues, V.; Berninger, F.; Bronisz, K.; Cardellini, G.; Chirici, G.; Hasenauer, H.; Koehl, M.; Lang, M.; Merganicova, K.; Mohren, F.; Moiseyev, A.; Moreno, A.; Mura, M.; Muys, B.; Olschofsky, K.; Del Perugia, B.; Rørstad, P.K.; Solberg, B.; Thivolle-Cazat, A.; Trotsiuk, V.; Mäkelä, A.
In: Environmental Modelling and Software, Vol. 115, 01.05.2019, p. 128-143.Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - A climate-sensitive forest model for assessing impacts of forest management in Europe
AU - Härkönen, S.
AU - Neumann, M.
AU - Mues, V.
AU - Berninger, F.
AU - Bronisz, K.
AU - Cardellini, G.
AU - Chirici, G.
AU - Hasenauer, H.
AU - Koehl, M.
AU - Lang, M.
AU - Merganicova, K.
AU - Mohren, F.
AU - Moiseyev, A.
AU - Moreno, A.
AU - Mura, M.
AU - Muys, B.
AU - Olschofsky, K.
AU - Del Perugia, B.
AU - Rørstad, P.K.
AU - Solberg, B.
AU - Thivolle-Cazat, A.
AU - Trotsiuk, V.
AU - Mäkelä, A.
PY - 2019/5/1
Y1 - 2019/5/1
N2 - 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.
AB - 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.
KW - Bioeconomy
KW - Bioenergy
KW - Disturbances
KW - Forest planning
KW - FORMIT
KW - Model
KW - NPP
KW - Scenario analysis
KW - Sustainability
KW - Timber harvests
U2 - 10.1016/j.envsoft.2019.02.009
DO - 10.1016/j.envsoft.2019.02.009
M3 - Article
VL - 115
SP - 128
EP - 143
JO - Environmental Modelling & Software
T2 - Environmental Modelling & Software
JF - Environmental Modelling & Software
SN - 1364-8152
ER -