Document


Title

Quantifying stand structure using a percent canopy cover model (PERCOVE)
Document Type: Conference Paper
Author(s): R. J. McGaughey
Compiler(s): R. Teck; M. Moeur; J. Adams
Publication Year: 1997

Cataloging Information

Keyword(s):
  • 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
Topic(s):
Record Maintained By:
Record Last Modified: August 1, 2018
FRAMES Record Number: 44784
Tall Timbers Record Number: 20209
TTRS Location Status: Not in file
TTRS Call Number: A13.88:INT-373
TTRS Abstract Status: Fair use, Okay, Reproduced by permission

This bibliographic record was either created or modified by the Tall Timbers Research Station and Land Conservancy 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 the Tall Timbers Research Station and Land Conservancy.

Description

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.