LAMASUS - Response curves for changes in forest biomass carbon stocks following de-intensification of managemet across Europe (original) (raw)
Published July 13, 2025 | Version v1
Dataset Open
Authors/Creators
1.
International Institute for Applied Systems Analysis1.
Université Paris-Sud2.
International Institute for Applied Systems Analysis
Description
As part of the knowledge base developed within the EU project LAMASUS (deliverable D5.1) to quantify the climate impacts of land use management (LUM) changes, we present an ensemble of response functions that describe the effects of forest management de-intensification on forest biomass carbon stocks. These functions are supported by spatially explicit maps of model coefficients at a 0.5° (~50 km) resolution covering the European Union (EU27+UK, excluding overseas territories).
The response functions were derived from simulations using the Global Forest Model (G4M), developed at IIASA (Kindermann et al., 2008; Gusti and Kindermann, 2011). They quantify the changes in biomass carbon stocks associated with transitions from intensively managed forests (classified as “Production forest”) to either near-natural forests (“Other, not harvested” and “Close to nature forests”) or “Multifunctional forests.” These LUM classes are consistent with the definitions provided in the LAMASUS Land Use Management Data Set (See et al., 2025, https://zenodo.org/records/15488011).
The response functions have the form of following equation:
BM(t) = BM0 + BMmax * (1 – exp(-t/τ))
BM0 is the biomass under intensive use before conversion. BM is the biomass in kg C m-2 reached after t years after LUM conversion, BMmax is the biomass in kg C m-2 that could be reached by the year 2100, τ is a parameter that determines the rate at which BMmax is approached.
The table below lists the files from which the maps of each coefficient of the response function can be retrieved, separated by type of conversion and climate scenario.
Table: List of files with coefficients for biomass carbon stock growth curves conversion of forest LUM class “Production forest” to near-natural forests (“Other, not harvested”, “Close to nature forests”) or to “Multifunctional forests”.
| Period | File names |
|---|---|
| Conversion to forest LUMs “Other, not harvested” or “Close to nature forests” | |
| Historical | G4M_BM_response_RTmaxMAI_RTmaxBm.nc |
| Future, SSP-RCP126 | G4M_BM_response_RTmaxMAI_RTmaxBm_ssp_rcp126.nc |
| Future, SSP-RCP370 | G4M_BM_response_RTmaxMAI_RTmaxBm_ssp_rcp370.nc |
| Conversion to forest LUM “Multifunctional forests” | |
| Future, SSP-RCP126 | G4M_BM_response_RTmaxMAI_1p5RTmaxMAI_ssp_rcp126.nc |
| Future, SSP-RCP370 | G4M_BM_response_RTmaxMAI_1p5RTmaxMAI_ssp_rcp370.nc |
References:
Gusti, M. and G. Kindermann (2011). An approach to modeling landuse change and forest management on a global scale. SIMULTECH-2011. Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Noordwijkerhout, The Netherlands July 29 - 31 2011, SciTePress - Science and Technology Publications, Portugal.
Kindermann, G. E., I. McCallum, S. Fritz and M. Obersteiner (2008). "A global forest growing stock, biomass and carbon map based on FAO statistics." Silva Fennica 42(3): 387-396.
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