ACRONYM : a hierarchical tree and forest growth model framework.
1998-03
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
ACRONYM : a hierarchical tree and forest growth model framework.
Authors
Published Date
1998-03
Publisher
University of Minnesota
Type
Report
Abstract
ACRONYM is an extensible tree-level forest growth and dynamics model framework for the synthesis and assessment of models and submodels of forest ecosystem processes. The framework is designed for research in forest ecology and silviculture, development and testing of silvicultural guidelines, forest inventory updates, and long-term projections of forest and landscape dynamics. The framework accepts modules (submodels) of forest regeneration, tree growth, mortality, silviculture, harvesting and natural disturbance, each of which may operate at different spatial or temporal scales and levels of resolution. Component modules can range from empirical to process based, as understanding and data permit. Modules can be interchanged with a minimum of reprogramming to allow for comparison of assumptions about processes, different data input protocols, and project-specific reporting requirements.
Description
Related to
Replaces
License
Series/Report Number
Funding information
Research supported by the College of Natural Resources and the Minnesota Agricultural Experiment Station, University of Minnesota, St. Paul, the McIntire-Stennis Cooperative Forestry Research Program and the USDA Small Business Innovation Research Program. Published as MAES paper no. 984420127 of the Minnesota Agricultural Experiment Station.
Isbn identifier
Doi identifier
Previously Published Citation
Suggested citation
Robinson, Andrew P.; Ek, Alan R.. (1998). ACRONYM : a hierarchical tree and forest growth model framework.. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/36879.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.