Fourth Forest Vegetation Simulator (FVS) Conference
General Information
The Fourth Forest Vegetation Simulator (FVS) Conference was held April 17-19, 2012, in Fort Collins, Colorado. The USDA Forest Service, Forest Management Service Center, has hosted the conference every five years since 1997.
The conference consisted of two days of presentations from over 40 speakers. In addition, a third day of discussions and workshops was conducted. We celebrated the work that has been done in FVS over the last five years and contemplated the work to come in the future.
- View the full program for the conference (PDF, 835 KB)
Participants of the Fourth FVS Conference.
Forest Science Special Section: Fourth Forest Vegetation Simulator Conference
Forest Science published a Special Section in their April 19, 2014, issue presenting six papers representing the latest research in all phases of FVS knowledge generation and dissemination. The papers represent the full range of FVS-related opportunities, from evaluating the accuracy and scale of source information from inventories and satellite imagery, to modeling different stand structures, seed productivity, and forest health, fuel modeling, and fire effects analysis, and finally, to evaluating different methods of carbon stock estimation.
- Table of Contents
- Introduction to the Special Section on the Fourth Forest Vegetation Simulator (FVS) Conference
- A Comparison of Carbon Stock Estimates and Projections for the Northeastern United States
- Evaluating Forest Vegetation Simulator Performance for Trees in Multiaged Ponderosa Pine Stands, Black Hills, USA
- Forecasting Long-Term Acorn Production with and without Oak Decline Using Forest Inventory Data
- The Effectiveness and Limitations of Fuel Modeling Using the Fire and Fuels Extension to the Forest Vegetation Simulator
- Calibrating and Testing the Forest Vegetation Simulator to Simulate Tree Encroachment and Control Measures for Heathland Restoration in Southern Europe
- Imputing Forest Structure Attributes from Stand Inventory and Remotely Sensed Data in Western Oregon, USA