Biosum provides simulation-based analytical tools that leverage data from FIA — the nation's forest census — to predict, and statistically summarize over multi-million acre forested landscapes, the consequences of forest management strategies. Management strategies can be multi-objective, vary among owner groups, evolve over time, and be contingent on targeted sets of specific site and vegetation attributes. As many as hundreds of alternative silvicultural sequences can be simulated, evaluated and compared and best alternatives selected for each forested acre via user defined heuristics.
Biosum is suitable for addressing a variety of policy relevant questions concerning forest landscape management such as:
The MS Windows based biosum software and all component models in the analytic framework are free, downloadable, documented and supported.
Downloads - BioSum application, associated software, user guide, and starter project
Projects - In progress and completed BioSum research initiatives
Publications - Links to research publications
Support - Contact information for inquires and questions
Lead Programmer : Larry Potts
Project Manager: Jeremy Fried
Since 2002, BIOSUM benefitted from substantial intellectual contributions by many individuals at multiple institutions, including:
USFS Pacific Northwest Research Station: Jamie Barbour, Roger Fight, Glenn Christensen, Dale Weyermann, Guy Pinjuv
USFS Rocky Mountain Research Station: Terrie Jain, Jonathan Sandquist
Portland State University: Sara Loreno, Lesley Bross
University of Idaho: Rob Keefe, Conor Bell
University of California, Berkeley: Bill Stewart, Benktesh Sharma