Western redcedar&amp;#151;a literature review.

Minore, Don

doi:10.2737/pnw-gtr-150

Cited by 27 publications

(20 citation statements)

References 121 publications

(190 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Among forest trees, T. plicata and other Thuja species are known for having exceptionally strong defenses against pests and pathogens (Minore, 1983). These defenses include a repertoire of potentially toxic specialized (i.e.…”

Section: Discussionmentioning

confidence: 99%

“…Thuja plicata (western redcedar), a member of the Cupressaceae family of conifers, has effective chemical defenses and is known to be highly resistant to insect and fungal damage (Minore, 1983). However, ungulate browsing can cause significant damage to seedlings (Martin and Daufresne, 1999;Martin and Baltzinger, 2002;Vourc'h et al, 2002bVourc'h et al, , 2002cStroh et al, 2008).…”

mentioning

confidence: 99%

See 1 more Smart Citation

Identification of Genes in Thuja plicata Foliar Terpenoid Defenses

et al. 2013

View full text Add to dashboard Cite

Thuja plicata (western redcedar) is a long-lived conifer species whose foliage is rarely affected by disease or insect pests, but can be severely damaged by ungulate browsing. Deterrence to browsing correlates with high foliar levels of terpenoids, in particular the monoterpenoid α-thujone. Here, we set out to identify genes whose products may be involved in the production of α-thujone and other terpenoids in this species. First, we generated a foliar transcriptome database from which to draw candidate genes. Second, we mapped the storage of thujones and other terpenoids to foliar glands. Third, we used global expression profiling to identify more than 600 genes that are expressed at high levels in foliage with glands, but can either not be detected or are expressed at low levels in a natural variant lacking foliar glands. Fourth, we used in situ RNA hybridization to map the expression of a putative monoterpene synthase to the epithelium of glands and used enzyme assays with recombinant protein of the same gene to show that it produces sabinene, the monoterpene precursor of α-thujone. Finally, we identified candidate genes with predicted enzymatic functions for the conversion of sabinene to α-thujone. Taken together, this approach generated both general resources and detailed functional characterization in the identification of genes of foliar terpenoid biosynthesis in T. plicata.

show abstract

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Identification of Genes in Thuja plicata Foliar Terpenoid Defenses

et al. 2013

View full text Add to dashboard Cite

show abstract

“…The cedars are also potentially long-lived and able to withstand a diverse array of natural pathogens . Yellow-cedar and redcedar often occur in mixed conifer forests and can persist and nearly dominate some forests over long periods of time (see reviews by Minore, 1983;Hennon and Harris, 1997). Both cedars reach their largest size as individual trees on well-drained soils, but appear to have a more common growth strategy of slow, prolonged survival on the fringes of bogs and other poorly drained soils where nutrient supplies are low (Krajina, 1969;Neiland, 1971;Lennon et al, 2002).…”

Section: Introductionmentioning

confidence: 97%

Adaptation to exploit nitrate in surface soils predisposes yellow-cedar to climate-induced decline while enhancing the survival of western redcedar: A new hypothesis

D’Amore

Hennon

Schaberg

et al. 2009

Forest Ecology and Management

View full text Add to dashboard Cite

“…Most of the stands are composed of two or more species, with western hemlock being the most common co-occurring species. At a given age, western red cedar is typically shorter than western hemlock [37,38].…”

Section: Discussionmentioning

confidence: 99%

Enhancing Forest Growth and Yield Predictions with Airborne Laser Scanning Data: Increasing Spatial Detail and Optimizing Yield Curve Selection through Template Matching

Tompalski

Coops

White

et al. 2016

Forests

View full text Add to dashboard Cite

Accurate information on both the current stock and future growth and yield of forest resources is critical for sustainable forest management. We demonstrate a novel approach to utilizing airborne laser scanning (ALS)-derived forest stand attributes to determine future growth and yield of six attributes at a sub-stand (25 m grid cell) level of detail: dominant height (HMAX), Lorey's height (HL), quadratic mean diameter (QMD), basal area (BA), whole stem volume (V), and trees per hectare (TPH). The approach is designed to find the most appropriate matching yield curve and project the attributes to the age of 80 years. Comparisons to conventional plot-level projections resulted in relative mean differences of 13.4% (HMAX), −27.1% (HL), 18.8% (QMD), 12.0% (BA), 18.6% (V), and −17.5% (TPH). The respective relative root mean squared difference values were: 31.1%, 38.4%, 19.8%, 19.8%, 21.8%, and 38.4%. Differences were driven mostly by stand-level age and site index. The uncertainty of cell-level yield curve assignment was used to refine stand-level summaries. The novel contribution of this study is in the application of growth and yield models at the cell level, combined with the use of ALS-derived attributes to optimize yield curve selection via template matching.

show abstract

Western redcedara literature review.

Abstract: This file was created by scanning the printed publication. Mis-scans identified by the software have been corrected; however, some errors may remain. FILE COPY EDITOR'S

Cited by 27 publications

References 121 publications

Identification of Genes in Thuja plicata Foliar Terpenoid Defenses

Identification of Genes in Thuja plicata Foliar Terpenoid Defenses

Adaptation to exploit nitrate in surface soils predisposes yellow-cedar to climate-induced decline while enhancing the survival of western redcedar: A new hypothesis

Enhancing Forest Growth and Yield Predictions with Airborne Laser Scanning Data: Increasing Spatial Detail and Optimizing Yield Curve Selection through Template Matching

Contact Info

Product

Resources

About