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The Forest Vegetation Simulator (FVS) is a forest growth and yield model developed by the United States Forest Service and is used by natural resource managers and researchers. FVS is calibrated for specific geographic areas and uses a host of simulation models to forecast forest composition and structure.
DGVMs generally combine biogeochemistry, biogeography, and disturbance submodels.Disturbance is often limited to wildfires, but in principle could include any of: forest/land management decisions, windthrow, insect damage, ozone damage etc. DGVMs usually "spin up" their simulations from bare ground to equilibrium vegetation (e.g. climax community) to establish realistic initial values for ...
The system provides clear definitions and codes for recording plant distributions at four scales or levels, from "botanical continents" down to parts of large countries. Current users of the system include the International Union for Conservation of Nature (IUCN), and the Germplasm Resources Information Network (GRIN). [ 1 ]
Vegetation types of Lesotho and Eswatini are included in the project. The vegetation map is useful for biodiversity assessment, research, conservation management and environmental planning, and includes a database. The project is ongoing as more data becomes available over time.
Europe: SynBioSys Europe information system of distributed European TURBOVEG databases relating to plant species, vegetation and landscape data administered by the European Vegetation Survey. When completed this will contain 30 national species lists. [12] France: Sophy, computerized phytosociological information (vegetation relevés). [13]
The simulated growth of plants is a significant task in of systems biology and mathematical biology, which seeks to reproduce plant morphology with computer software. Electronic trees (e-trees) usually use L-systems to simulate growth. L-systems are very important in the field of complexity science and A-life.
Infrared radiation is simulated as if each vegetation layer is a semitransparent plane; canopy emissivity depends on foliage density. Another difference between IBIS-2 and IBIS-1 and LSX, is that IBIS-2 uses an empirical linear function of wind speed to estimate turbulent transfer between the soil surface and the lower vegetation canopy, and ...
The stages can be characterized by Structural Stage categories, e.g., young forest, or by their Successional Status, e.g., maturing seral. The developing vegetation can also be classified into seral plant associations (designated with $ sign). Note: Tree species codes are: Cw = western redcedar; Hw = western hemlock; Pl = lodgepole pine.