CARBOGEST II
Impact of multifunctional forest management on ecosystem services and forest vitality
The main objective of this project is to facilitate the use of forest dynamics simulation tools (the "fpm" package and coupling with the MEDFATE software) by creating a simplified R interface, improving mortality and carbon balance calculations, optimizing code, and conducting specific training workshops; all complemented by mapping recent Scots pine drought mortality (2022–2024) in Moianès and projecting its future dynamics under different management and climate change scenarios.
This project's main purpose is to adapt, optimize, and facilitate the use of forest simulation tools, as well as to conduct climate change impact analyses in the Moianès region.
Main Objectives and Lines of Action
- Software Development and Adaptation:
- Creation of a simplified interface in R to use the "fpm" package without technical complexity, allowing to simulate the dynamics of forest plots (pure, mixed, regular or irregular) in the short and medium term.
- Coupling of interpolated "fpm" results with the MEDFATE software.
- Restructuring of the code to evaluate mortality by diametric class and by time step, and adaptation of carbon balance calculations through extrapolation of basal area ranges.
- Optimization and Existing Resources:
- Improved programming performance (efficient use of CPU and memory) and simplification of processes.
- Reuse of existing climate calibrations from previous projects.
- Publication of all code and documentation in open access on GitHub and on the EMF website.
- Training and Knowledge Transfer:
- Development of documentation, scripts and workflows.
- Conducting specific training seminars for CPF staff for the autonomous use of the interface and simulation resources.
- Impact Studies in Moianès:
- Cartography: Assessment of Scots pine mortality due to drought 2022-2024 in terms of basimetric area and wood volume.
Mechanistic projections: Simulation of the future dynamics of Scots pine forests under different climate and management scenarios to predict the generation of dead wood.