User's Guide to the Stand Prognosis Model

Abstract

This reprinting of the User's Guide to the Prognosis Model describes the Prognosis Model as released in September, 1981 (Version 4.0). Although we will soon release version 5.0, most of the material in this guide will remain applicable to the new version. There will be, however, modifications in the small tree growth models and in the crown-dubbing and crown-changing procedures that improve model behavior. These modifications will necessitate revisions of pages 52, 65-67, and 77-80.These revisions, and descriptions of new features, are contained in a supplement to this guide that will be released with the new version. The new features include:-A regeneration establishment component;-SHRUB and COVER extensions;-An event monitor for dynamic activity scheduling;-A classification algorithm used to shorten the tree record list by combining like records;-Expansion of management options.We have endeavored to make changes in such a way that the procedures for using version 4.0 will operate the same way in version 5.0.

Modélisation de la qualité des stations et de la croissance individuelle des arbres dans des peuplements purs et mélangés de Pinus brutia dans le nord-est de la Grèce

“…Modelling diameter increment in this way has been proposed, among others, by Calama and Montero (2005), , Stage (1973), Trasobares et al (2004a), Wycoff et al (1982). Incorporating the stochastic between-plot structure in the model alleviated problems associated with the presence of nested structure (Fox et al, 2001), which otherwise may result in biased estimates of standard errors of parameter estimates.…”

On Comparison of Exponential and Hyperbolic Exponential Growth Models in Height/Diameter Increment of PINES (Pinus caribaea)

“…The estimation of tree volume, as well as the description of stands and their development over time, relies heavily on accurate height-diameter functions (Curtis, 1967). Many growth and yield models also require height and diameter as two basic input variables, with all or part of the tree height predicted from measured diameters (Burkhart et al, 1972;Curtis et al, 1981;Wykoff et al, 1982). In the cases where actual measurements of height growth are not available, height-diameter functions can also be used to indirectly predict height growth (Larsen and Hann 1987).…”

“…Since then, many new heightdiameter functions have been developed. With the relative ease of fitting nonlinear functions and the nonlinear nature of the height-diameter relationships, nonlinear height-diameter functions have now been widely used in height predictions (Schreuder et al, 1979;Curtis et al, 1981;Wykoff et al, 1982;Wang and Hann 1988;Farr et al, 1989;Arabatzis and Burkhart, 1992).…”

A web-based application to simulate alternatives for sustainable forest management: SIMANFOR

“…These models are usually implemented on software that allows end-users to simulate different management alternatives. Among the most used, PROGNOSIS (Wykoff et al, 1982), ORGANON (Hester et al, 1989;Hann et al, 1995), FVS (Dixon, 2002), CAPSIS (Coligny et al, 2004), TREEGROSS (Nagel, 2005) and SExI-FS (Harja et al, 2006) should be stressed because of their relevance at the international level. However, there are no systems based on the use of the web and the web 2.0 concept.…”