Document


Title

Regeneration models for FVS variants
Document Type: Conference Paper
Author(s): D. E. Ferguson
Compiler(s): R. Teck ; M. Moeur ; J. Adams
Publication Year: 1997

Cataloging Information

Keyword(s):
age classes; Canada; cones; diseases; disturbance; ecosystem dynamics; forest management; geography; habitat types; histories; Idaho; insects; Picea engelmannii; Pinus ponderosa; plant growth; regeneration; roots; seedlings; serotiny; sprouting; stand characteristics; statistical analysis; topography; watersheds; windthrows
Region(s):
Great Basin; International; Northern Rockies
Record Maintained By:
Record Last Modified: August 1, 2018
FRAMES Record Number: 44769
Tall Timbers Record Number: 20194
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

The Forest Vegetation Simulator (FVS) predicts forest growth for 19 geographic locations in the United States and Canada. However, only four of the 19 geographic variants have models that simulate the process of regeneration establishment. Considerable work needs to be done to develop regeneration models for all FVS variants. An alternative to designed research studies is to use stand examination inventory data to develop regeneration models. The most important data consideration is to locate and use unbiased inventories. Fortunately, many organizations already collect the data needed to develop such regeneration models. Ideas are presented for designing stand examinations that provide data for regeneration modeling.

Citation:
Ferguson, D. E. 1997. Regeneration models for FVS variants, 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. 43-49.