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Aspen succession in the Intermountain West : a deterministic model

Author: Dale L Bartos; Frederick R Ward; George S Innis; United States. Department of Agriculture.; Intermountain Forest and Range Experiment Station (Ogden, Utah)
Publisher: Ogden, Utah : U.S. Dept. of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, 1983.
Series: General technical report INT, 153.
Edition/Format:   Print book : National government publication : EnglishView all editions and formats
Summary:
"A deterministic model of succession in aspen forests was developed using existing data and intuition. The degree of uncertainty, which was determined by allowing the parameter values to vary at random within limits, was larger than desired. This report presents results of an analysis of model sensitivity to changes in parameter values. These results have indicated areas of needed research. The model responds  Read more...
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Additional Physical Format: Online version:
Bartos, Dale L.
Aspen succession in the Intermountain West.
Ogden, Utah : U.S. Dept. of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, 1983
(OCoLC)621504356
Material Type: Government publication, National government publication
Document Type: Book
All Authors / Contributors: Dale L Bartos; Frederick R Ward; George S Innis; United States. Department of Agriculture.; Intermountain Forest and Range Experiment Station (Ogden, Utah)
OCLC Number: 10176633
Notes: Cover title.
Distributed to depository libraries in microfiche.
"September 1983."
Description: 60 pages : illustrations ; 28 cm.
Series Title: General technical report INT, 153.
Responsibility: Dale L. Bartos, Frederick R. Ward, and George S. Innis.

Abstract:

"A deterministic model of succession in aspen forests was developed using existing data and intuition. The degree of uncertainty, which was determined by allowing the parameter values to vary at random within limits, was larger than desired. This report presents results of an analysis of model sensitivity to changes in parameter values. These results have indicated areas of needed research. The model responds realistically to various management techniques and could be an aid to resource managers in their decisionmaking process."

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