EU-CBM-HAT
EU-CBM-HAT is a Python package for simulating forest carbon budgets. It enables assessment of forest CO2 emissions and removals under various scenarios, including forest management, natural disturbances, and land use changes. The model leverages the Canadian Forest Service’s libcbm and uses pandas for data processing.
- Simulate forest carbon dynamics
- Scenario analysis for EU countries
- Extensive documentation and open-source
biotrade
biotrade analyzes international trade in bio-based products, focusing on agriculture and forestry sectors. It integrates data from UN Comtrade, FAOSTAT, and the World Bank, supporting both SQLite and PostgreSQL databases for flexible, large-scale data analysis.
- Trade and production analytics for bio-based products
- Automated data loading from global sources
- Open-source and highly configurable
cobwood
cobwood introduces a new way to represent macroeconomic forest products market data using N-dimensional labeled data arrays. This data structure, built on Xarray, improves source code readability by allowing equations with time and country coordinates to be easily identified in the code. Units are stored as metadata attributes within the data structure. Model outputs are saved to NetCDF files, which preserve Xarray’s data model, including dimensions and attributes. We believe this new structure makes Cobwood an excellent foundation for implementing various forest sector models.To demonstrate cobwood’s practical application, we present a reimplementation of the Global Forest Products Model (GFPMx).