Third Forest Vegetation Simulator Conference

The Forest Vegetation Simulator (FVS) is a suite of computer modeling tools for predicting the long-term effects of alternative forest management actions. FVS was developed in the early 1980s and is used throughout the United Sates and British Columbia. The Third FVS conference, held February 13–15, 2007, in Fort Collins Colorado, contains 20 papers. They describe the use of FVS on the stand and landscape scale, and to analyze fuels management in the presence of insects and fire. Several papers compare FVS predictions of the effects of insects and disease to field measurements. FVS is continually evolving and improving in technology and capability to meet the needs of its ever increasing user community. Papers describe new methods for data acquisition and preparation for input to FVS, new economic analysis capabilities within FVS, new methods for simulating forest regeneration, new developments in calculating growth and mortality, and future plans for incorporating the effects of climate change in model simulations.

[1]  Boris Zeide,et al.  Tolerance and self-tolerance of trees , 1985 .

[2]  Improving longleaf pine mortality predictions in the Southern Variant of the Forest Vegetation Simulator , 2008 .

[3]  J. N. Long,et al.  A Density Management Diagram for Longleaf Pine Stands with Application to Red-Cockaded Woodpecker Habitat , 2007 .

[4]  F. Smith,et al.  Volume increment in Pinus contorta var. latifolia: the influence of stand development and crown dynamics , 1992 .

[5]  D. V. Lear,et al.  History and restoration of the longleaf pine-grassland ecosystem: Implications for species at risk , 2005 .

[6]  Stefano Tarantola,et al.  Sensitivity Analysis as an Ingredient of Modeling , 2000 .

[7]  G. E. Dixon.  Essential FVS: A User's Guide to the Forest Vegetation Simulator , 2007 .

[8]  J. Flewelling,et al.  Stand Density Management: an Alternative Approach and Its Application to Douglas-fir Plantations , 1979 .

[9]  B. Palik,et al.  Overstory mortality and canopy disturbances in longleaf pine ecosystems , 1996 .

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[13]  Jon C. Helton,et al.  Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal , 1993 .

[14]  Oscar García,et al.  Evaluating forest Growth Models , 1997 .

[15]  Timo Pukkala,et al.  Using past growth to improve individual-tree diameter growth models for uneven-aged mixtures of Pinus sylvestris L. and Pinus nigra Arn. in Catalonia, north-east Spain , 2004 .

[16]  R. Justin DeRose,et al.  Local calibration of the Forest Vegetation simulator (FVS) using custom inventory dataNo Title , 2006 .

[17]  Nicholas L. Crookston,et al.  User's guide to the Event Monitor : part of Prognosis Model, version 6 / , 1990 .

[18]  Jon C. Helton,et al.  Sampling-based methods for uncertainty and sensitivity analysis. , 2000 .

[19]  Richard J. Beckman,et al.  A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code , 2000, Technometrics.