The JRC Forest Carbon Model allows quantification of forest status dynamics and GHG fluxes associated with forest management, natural disturbances and climate dynamics, forestland conversions, and the life-cycle of harvested wood products. Building on the JRC’s EU-CBM-HAT (Blujdea et al., 2022), this version integrates (i) libcbm – a C++ rewrite by the Canadian Forest Service’s CBM-CFS3 growth-and-disturbance simulator, and several Python packages developed by JRC, namely: (ii) climate-sensitive growth module, (iii) the COMBO engine for systematic scenarios combination, (iv) the Harvest Allocation Tool for rule-based distribution of roundwood demands and (v) dedicated modules for GHG emissions from wood products use and end-of-life, and substitution benefits. Latest development allows more efficient integration of data available in spatial format, while the model runs remain spatially referenced. All components are released under open-source licences (JRC maintains the Python interface with functionality described in this report; libcbm is maintained by the Canadian Forest Service), ensuring transparency, reproducibility, and extensibility for research, policy analysis, and forest-sector GHG assessment applicable to both national, and at any forest management scale.

BLUJDEA Viorel;  OTON AZOFRA Gonzalo;  ROUGIEUX Paul;  GHIZONI SANTOS Erone;  PILLI Roberto;  PICARDO Matteo;  MIGLIAVACCA Mirco;  CESCATTI Alessandro;  MORKEN Scott;  KURZ Werner;  BOZZOLAN Nicola;  VIZZARI Matteo;  SINCLAIR Lucas;  BLACK Kevin;  CIENCIALA Emil;  GRASSI Giacomo;  MUBAREKA Sarah Betoul; 

2026-07-07

Publications Office of the European Union

JRC146472

978-92-68-40901-5 (online),   

1831-9424 (online),   

EUR 40758,    OP KJ-01-26-264-EN-N (online),   

https://publications.jrc.ec.europa.eu/repository/handle/JRC146472,   

10.2760/9180058 (online),