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Type: Conference Paper
Author(s): Robert J. McGaughey
Compiler(s): Richard Teck; M. Moeur; J. Adams
Publication Date: 1997

Stand structure, often quantified using the percent canopy cover associated with various structural layers, is an important characteristic used when modeling ecosystem diversity and function. A model is presented, PERCOVE, that classifies individual trees in a stand into structural layers using user-defined rules, models the spatial arrangement of trees, creates a map showing tree crowns, and uses the map to compute an estimate of the percent canopy cover associated with the structural layer. The model, interfaced with the Forest Vegetation Simulator (FVS), can be used to evaluate the structure of existing stands represented by inventory data and stands projected using FVS.

Citation: McGaughey, R. J. 1997. Quantifying stand structure using a percent canopy cover model (PERCOVE), in R Teck, M Moeur, and J Adams eds., Proceedings: Forest Vegetation Simulator Conference. Fort Collins, CO, USDA Forest Service Intermountain Research Station, Intermountain Research Station INT-GTR-373, p. 133-138.

Cataloging Information

Topics:
Regions:
Alaska    California    Eastern    Great Basin    Hawaii    Northern Rockies    Northwest    Rocky Mountain    Southern    Southwest    National
Keywords:
  • computer programs
  • cover
  • crowns
  • distribution
  • ecosystem dynamics
  • forest management
  • overstory
  • population density
  • population ecology
  • shrubs
  • size classes
  • species diversity (plants)
  • stand characteristics
  • statistical analysis
  • trees
  • understory vegetation
  • US Forest Service
  • vegetation surveys
Tall Timbers Record Number: 20209Location Status: Not in fileCall Number: A13.88:INT-373Abstract Status: Fair use, Okay, Reproduced by permission
Record Last Modified:
Record Maintained By: FRAMES Staff (https://www.frames.gov/contact)
FRAMES Record Number: 44784

This bibliographic record was either created or modified by Tall Timbers and is provided without charge to promote research and education in Fire Ecology. The E.V. Komarek Fire Ecology Database is the intellectual property of Tall Timbers.