Assessing the Shelf Life Attributes of Mountain Pine Beetle-killed Trees
Assessing the Shelf Life Attributes of Mountain Pine Beetle-killed Trees

Author: S. Magnussen

Publisher:

Published: 2009

Total Pages: 34

ISBN-13:

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In 2006, a total of 360 lodgepole pine trees were destructively sampled from 45 sites that had been killed by mountain pine beetle (Dendroctonous ponderosae Hopk.). The trees were sampled from the Sub Boreal Spruce (SBS) Biogeoclimatic zone within north central British Columbia. The trees were distributed evenly across the geographic areas as well as across a sample matrix that included three classes of time since death, three classes of diameter at breast height, and three classes of soil moisture regime. A previous report described the procedures used to the collect the data and summarized the data collected for each of the sample trees. The current study analyzes the data and presents a detailed assessment of the changes in the wood quality attributes of mountain pine beetle-killed trees that occur within 5 years since death.--Includes text from document.

Effects of Fire, Insect, and Pathogen Damage on Wood Quality of Dead and Dying Western Conifers
Effects of Fire, Insect, and Pathogen Damage on Wood Quality of Dead and Dying Western Conifers

Author: Eini C. Lowell

Publisher: DIANE Publishing

Published: 2010-10

Total Pages: 80

ISBN-13: 1437935281

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Contents: Intro.; The Changing Mgmt. Context; Previous Studies on Effects of Disturbance on Wood Quality; After the Fire: Changes in Dead and Dying Conifers; Predicting Conifer Mortality Following Fires; Types of Changes in the Wood of Dead Conifers; Insect Damage to Conifers; Stain and Decay Fungi Damage to Conifers; Factors Influencing the Rate of Deterioration; Species-Specific Changes in Wood Quality of Dead and Dying Conifers; Douglas-Fir; Englemann Spruce and White Spruce; Grand Fir and White Fir; Lodgepole Pine; Ponderosa, Sugar, Western White, and Jeffrey Pine; Subalpine Fir; Western Hemlock; Western Larch; Wood Quality Changes and Econ. Values; Visual Classification Systems; Volume and Value Loss. Conclusions.