MB&G’s forest biometricians have many years of experience in growth and yield modeling in forest types across the United States and internationally, including pine plantations in the Southern US; eastern hardwood types, pine and eucalyptus plantations in South America; and western conifer forests from the Rockies to the Pacific Coast. Our experience ranges from recommending appropriate off-the-shelf growth models to building new and innovative models.
| Client |
Project |
Industrial Forest Landowner |
Developed a growth model for short-rotation intensively-cultured hybrid poplar plantations, capable of predicting pulpwood and sawtimber volumes as a function of initial spacing, clone, and merchantability specifications. |
USDA Forest Service, Pacific Northwest Forest Investment & Analysis (FIA) Program |
Conducted a literature review of site index estimation techniques for boreal forest species in Alaska, and developed models to predict total tree height and diameter growth for coastal and interior regions. |
Boise Cascade Corporation |
Developed protocols for establishing and remeasuring permanent plots for the purpose of testing and calibrating local growth models in Western Oregon. |
Oregon Department of Forestry (ODF) |
Reviewed alternative growth models for all ODF districts and recommended best model for developing yield tables to support forest planning. |
Industrial Forest Landowner |
Designed and developed an Excel workbook that incorporated growth modeling and economics and provided field foresters with a user-friendly tool for evaluating stand treatments. |
Timberland Investment Management Organization |
Evaluated reasonableness of yield curves used in the organization’s harvest scheduling system in New England. |
| Military Base in North Carolina |
As subcontractor under a larger project, MB&G provided study, rationale and selection of most appropriate growth model to use for stands of mixed composition of loblolly, longleaf pine and hardwood species. MB&G helped to incorporate the growth model into a large information management system. |
