D6.1 Report on Integrated Policy Modelling Toolbox conceptualization

D6.1 Report on Integrated Policy Modelling Toolbox conceptualization

The deliverable content focuses on the ForestNavigator EU Policy Modelling Toolbox, which aims to address the interactions between climate, biodiversity, and bioeconomy. Here, we outline the concept of the toolbox, which is centered around the land-use economic model GLOBIOM/G4M-X and includes cross-sectoral interactions with the energy sector via the PRIMES model and to the broader macroeconomy with the linkage to the MAGNET model. The Toolbox also considers climate change impacts, ecosystem services, and biodiversity indicators, and outlines the model integration approach and deployment strategy for the project.

D6.1 Report on Integrated Policy Modelling Toolbox conceptualization

D5.3 Substitution potentials and impacts of wood use in the EU

This deliverable quantifies the substitution impacts of wood use by comparing wood products to alternative materials or energy products. It follows both supply-oriented and demand-oriented approaches to trace wood uses and determine substitution impacts for specific end uses like construction and textiles. This deliverable complements the quantification of biogenic emissions and removals in the harvested wood product (HWP) pool (D5.2) and the land-use sector.

D6.1 Report on Integrated Policy Modelling Toolbox conceptualization

D11.4 Cross-project cooperation

This deliverable describes the cooperation framework that the ForestNavigator project partners employ to collaborate with other Horizon Europe projects. This report describes the activities carried out for coordinating with other projects funded under the same call and other relevant ones. This report also gives a summary of the ForestNavigator work that contributes to the assignments from EC DGs.

D6.1 Report on Integrated Policy Modelling Toolbox conceptualization

D1.2 Interim report on the meetings with the Policy Steering Committee

The ForestNavigator project aids EU and national policymakers by creating policy pathways with medium and long-term climate goals. To ensure its output meets the need of these policy makers, the project engages with key EU and member state stakeholders including policymakers from the national case studies (Ireland, Italy, Sweden, and the Czech Republic) in the Policy Steering Committee. This Committee steers the project relevance by providing updates on policy context, advising on outputs, and offering detailed feedback. Through biannual meetings and newsletters, the PSC members stay informed and provide feedback on project output. This report summarizes PSC meetings and 1:1 collaboration, highlighting their crucial input to the ForestNavigator consortium.

D6.1 Report on Integrated Policy Modelling Toolbox conceptualization

D5.1 Market scenarios for selected material uses of wood and bioenergy in the EU

D5.1 creates plausible scenarios and projections for selected material uses of wood (construction and textile fibres), as well as bioenergy and biofuels. The deliverable follows complementary approaches, including partial equilibrium modelling (PRIMES and GLOBIOM) and elicitation of expert views. The market scenarios feed into the quantification of climate change mitigation potential and socio-economic effects (WP 5), as well as into broader analysis of synergies and trade-offs between forest ecosystem services (WP 6-7).

D6.1 Report on Integrated Policy Modelling Toolbox conceptualization

D4.2 Report on socioeconomic variables

This report presents the collection of socioeconomic indicators to be tested in different analyses and modelling to assess employment opportunity, profitability of wood provisioning, and monetary values for recreational and cultural services. The list is selected based on existing studies and the models used in ForestNavigator. These indicators are categorized according to the main societal or economic aspects they cover. Attention is given to describing the planned use of each indicator, including spatial and temporal resolution, data sources, as well as adaptation needs to make the indicators operational within the modelling framework.