Equations and tables for estimating cubic-foot volume of interior Alaska tree species

Gregory, Robert A.; Haack, Paul M.; Station, Northern Forest Experiment

doi:10.5962/bhl.title.84514

Cited by 4 publications

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“…Estimates for volume of white spruce in Alaska have been developed (Gregory and Haack [19], Larson and Winterberger [20]). Neither of these publications, however, offers models that are widely accepted to estimate the volume of white spruce in Alaska, because of their limited geographic sample coverage, and lack of control for bark thickness.…”

Section: Discussionmentioning

confidence: 99%

A Bark Thickness Model for White Spruce in Alaska Northern Forests

Malone

Liang

2009

International Journal of Forestry Research

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Here we developed a simple linear model to estimate white spruce bark thickness in the northern forests of Alaska. Data were collected from six areas throughout interior and southcentral Alaska. Geographic variation of bark thickness was tested between the Alaska statewide model and for each geographic area. The results show that the Alaska statewide model is accurate, simple, and robust, and has no practical geographic variation over the six areas. The model provides accurate estimates of the bark thickness for white spruce trees in Alaska for a wide array of future studies, and it is in demand by landowners and forest managers to support their management decisions.

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Section: Discussionmentioning

confidence: 99%

A Bark Thickness Model for White Spruce in Alaska Northern Forests

Malone

Liang

2009

International Journal of Forestry Research

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“…Existing white spruce volume models in Alaska are of limited applicability because of small sample size or limited sample geographic coverage. The published cubic-foot volume models of Gregory and Haack (1964) were developed with 434 sample trees mostly from interior Alaska, and that of Larson and Winterberger (1988) was developed from 244 white spruce and 43 black spruce trees harvested from the Matanuska and Susitna Valleys. In addition, numerous unpublished volume models based on data sets from small and scattered geographic areas exist.…”

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confidence: 99%