1991
DOI: 10.2737/int-gtr-281
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User's guide to the Parallel Processing Extension of the Prognosis Model

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Cited by 33 publications
(33 citation statements)
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“…It is capable of representing several disturbance agents besides fire, represents the dynamic interactions of agents in space within the landscape, and directly outputs or links to scores of indicators measuring stand structural attributes, species-specific wildlife habitat quality for birds, bats, ungulates, and bears, patch size, old growth, 23 measures of water quality, visual quality, and timber. It is based on the Parallel Processing Extension of FVS (Crookston and Stage 1991), western root disease model (Frankel 1998), and is linked to a geographic information system. Its spatial scope is several thousand stands, and its time scope is over one generation of trees, about 300 years.…”
mentioning
confidence: 99%
“…It is capable of representing several disturbance agents besides fire, represents the dynamic interactions of agents in space within the landscape, and directly outputs or links to scores of indicators measuring stand structural attributes, species-specific wildlife habitat quality for birds, bats, ungulates, and bears, patch size, old growth, 23 measures of water quality, visual quality, and timber. It is based on the Parallel Processing Extension of FVS (Crookston and Stage 1991), western root disease model (Frankel 1998), and is linked to a geographic information system. Its spatial scope is several thousand stands, and its time scope is over one generation of trees, about 300 years.…”
mentioning
confidence: 99%
“…Crookston and Stage (1991) demonstrated such an application. Tree removal and site preparation treatments were entered to describe various fire regimes.…”
Section: Predicting Succession Quantitativelymentioning
confidence: 94%
“…Processing stand level simulation entities in parallel and allowing between-stand contagion at every simulation time step was an early approach to address landscape dynamics (Crookston and Stage, 1991;Crookston and Dixon, 2005: FVS). Cellular automaton approaches are used widely to simulate spatial spread of insect disturbances across forest landscapes.…”
Section: Impactmentioning
confidence: 99%