Skip to Main Content
Improving longleaf pine mortality predictions in the Southern Variant of the Forest Vegetation SimulatorAuthor(s): R. Justin DeRose; John D. Shaw; Giorgio Vacchiano; James N. Long
Source: In: Havis, Robert N.; Crookston, Nicholas L., comps. 2008. Third Forest Vegetation Simulator Conference; 2007 February 13–15; Fort Collins, CO. Proceedings RMRS-P-54. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. 160-166
Publication Series: Proceedings (P)
Station: Rocky Mountain Research Station
PDF: View PDF (555 B)
DescriptionThe Southern Variant of the Forest Vegetation Simulator (FVS-SN) is made up of individual submodels that predict tree growth, recruitment and mortality. Forest managers on Ft. Bragg, North Carolina, discovered biologically unrealistic longleaf pine (Pinus palustris) size-density predictions at large diameters when using FVS-SN to project red-cockaded woodpecker (Picoides borealis) habitat. Inventory data from Ft. Bragg indicated the mortality submodel was responsible for the over-predictions. Three approaches to remedy longleaf pine mortality predictions in FVS-SN were explored: (1) using stand density modifier keywords, (2) using a tree size cap to influence mortality rates but not growth, and (3) iteratively invoking a mortality rate based on empirical data. Results showed the third approach was the only viable alternative. Details of this approach are described so that an FVS-SN user can effectively constrain predicted longleaf pine size-density combinations at realistic levels. Although the approach was successful, it required advanced knowledge of size-density relationships for longleaf pine. It also demands an advanced understanding of FVS-SN from the user. We suggest over-prediction of size-density relations at large diameters will be evident in any growth and yield model using similar mortality logic. Therefore our results provide a general framework for improving the accuracy of mortality predictions in FVS.
- You may send email to email@example.com to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationDeRose, R. Justin; Shaw, John D.; Vacchiano, Giorgio; Long, James N. 2008. Improving longleaf pine mortality predictions in the Southern Variant of the Forest Vegetation Simulator. In: Havis, Robert N.; Crookston, Nicholas L., comps. 2008. Third Forest Vegetation Simulator Conference; 2007 February 13–15; Fort Collins, CO. Proceedings RMRS-P-54. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. 160-166
Keywordsforest management, forest planning, growth and yield, vegetation dynamics, habitat modeling, carbon inventory, prognosis model, landscape dynamics, fire, fuels, climate change, economics, forest health
- A density management diagram for longleaf pine stands with application to red-cockaded woodpecker habitat
- Does the availability of artificial cavities affect cavity excavation rates in red-cockaded woodpeckers?
- Using existing growth models to predict RCW habitat development following site preparation: pitfalls of the process and potential growth response
XML: View XML