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Height-age relationships for regeneration-size trees in the northern Rocky Mountains, USA

Author: Dennis E Ferguson; Clinton E Carlson; Rocky Mountain Research Station (Fort Collins, Colo.)
Publisher: Fort Collins, CO : U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, [2010]
Series: Research paper RMRS, RP-82 WWW.
Edition/Format:   eBook : Document : National government publication : EnglishView all editions and formats
Summary:
Regression equations were developed to predict heights of 10 conifer species in regenerating stands in central and northern Idaho, western Montana, and eastern Washington. Most sample trees were natural regeneration that became established after conventional harvest and site preparation methods. Heights are predicted as a function of tree age, residual overstory density, elevation, site preparation, habitat type  Read more...
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Additional Physical Format: Print version:
Ferguson, Dennis E.
Height-age relationships for regeneration-size trees in the northern Rocky Mountains, USA
(OCoLC)706032566
Material Type: Document, Government publication, National government publication, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Dennis E Ferguson; Clinton E Carlson; Rocky Mountain Research Station (Fort Collins, Colo.)
OCLC Number: 702167893
Notes: Title from title screen (viewed on Feb. 16, 2011).
"October 2010."
Description: 1 online resource (19 pages) : illustrations.
Details: System requirements: PDF reader.; Mode of access: World Wide Web.
Series Title: Research paper RMRS, RP-82 WWW.
Responsibility: Dennis E. Ferguson and Clinton E. Carlson.

Abstract:

Regression equations were developed to predict heights of 10 conifer species in regenerating stands in central and northern Idaho, western Montana, and eastern Washington. Most sample trees were natural regeneration that became established after conventional harvest and site preparation methods. Heights are predicted as a function of tree age, residual overstory density, elevation, site preparation, habitat type series, and closest National Forest location. Equations are presented that can be used to predict heights at a given age or to predict the number of years required to reach a specified height.

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