spadesCBM Overview
spadesCBM is a modular, transparent, and spatially explicit implementation of the logic, pools structure, equations, and default assumptions of the Carbon Budget Model of the Canadian Forest Sector (CBM). It applies the science presented in Kurz et al. (2009) in a similar way to the simulations in Boisvenue et al. (2016) and Boisvenue et al. (2022) but calls Python functions for annual processes (see libcbm_py/examples/cbm_exn). These functions and spadesCBM are, like much of modelling-based science, continuously under development.
The collection of SpaDES modules in spadesCBM was developed to enable R&D input to the Canadian Forest Service (CFS) forest carbon reporting system, NFCMARS, the National Forest Carbon Monitoring, Accounting, and Reporting system. The CFS provides science backing for Canadian policies on national forest issues. spadesCBM is a nimble tool in which new science, data and algorithms can be tested and explored to serve policy purposes. spadesCBM development follows the PERFICT approach of McIntire et al. (2022) for ecological modelling systems, an approach that helps solve many of the complex issues in ecological modelling, supports continuous workflows, and nimble, enter operable modelling systems. The SpaDES platform is the toolkit that enables this implementation of the PERFICT principle.
In-depth information on the functioning, structure, and science behind spadesCBM can be found in its manual. Similar to this website, it is a living document that is continually updated as the model evolves.