Sitka Spruce (<i>Picea sitchensis</i>) in North-East Scotland I. Relationships between Site Factors and Growth

Blyth, J. F.; MacLeod, Donald A.

doi:10.1093/forestry/54.1.41

Cited by 35 publications

(10 citation statements)

References 9 publications

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“…A similar effect was observed for radiata pine trees growing in Tasmania (Cown et al 2006). Elevation has also been found to be most important factor affecting the productivity of Sitka spruce plantations growing in northern Britain (Malcolm and Studholme 1972, Blyth and MacLeod 1981, Worrell and Malcolm 1990a, 1990b. This is because elevation is highly correlated with a number of climatic factors such as growing season temperature (accumulated temperature), rainfall and windiness which are known to affect tree growth (Grace 1977, Cannell andSmith 1983).…”

Section: Discussionmentioning

confidence: 99%

The effects of site and stand factors on the tree and wood quality of Sitka spruce growing in the United Kingdom

Moore¹,

Lyon²,

Searles³

et al. 2009

Silva Fenn.

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The extent and sources of variation in the wood quality of Sitka spruce (Picea sitchensis (Bong.) Carr.) were quantified using data collected from 64 stands in northern Britain. These stands were selected on the basis of elevation, latitude, longitude, yield class, initial spacing and the presence or absence of thinning. Dynamic modulus of elasticity (MOE) was calculated from measurements of stress wave velocity made on standing trees and qualitative descriptions were made of stem form. Dynamic MOE of individual trees ranged from 3.81 kN/mm 2 up to 12.29 kN/mm 2 , with a mean of 7.71 kN/mm 2 . Approximately 55 percent of the variation in dynamic MOE was due to differences between individual trees within a site, while 35 percent was due to differences between sites. The remaining 10 percent was due to differences between the measurements made on opposite sides of each tree. Variation in dynamic MOE at the site level was significantly influenced by yield class, elevation as well as by a number of the interactions between these factors and latitude, longitude and initial spacing. A multiple regression model incorporating these variables was able to explain 45 percent of the variation in dynamic MOE. Ramicorn branches were the most commonly recorded defect (37.2% of all live trees), followed by stem scarring and basal sweep (6.9% and 6.3%, respectively). Dynamic MOE was not influenced by stem straightness (p = 0.10) which indicates the utility of stress wave velocity measurements for segregating Sitka spruce stands based on potential grade recovery.

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Section: Discussionmentioning

confidence: 99%

The effects of site and stand factors on the tree and wood quality of Sitka spruce growing in the United Kingdom

Moore¹,

Lyon²,

Searles³

et al. 2009

Silva Fenn.

View full text Add to dashboard Cite

show abstract

“…At the same time, forest productivity is generally regulated by a variety of soil factors, such as soil chemical and physical properties (Mashimo 1960;Fourt et al 1971;Jokela et al 1988;Tange 1995;Corona et al 1998) and soil moisture regime (Negisi 1966;Shrivastava 1982;Iverson et al 1997). Some studies have demonstrated that soil C and N contents are important soil variables in explaining forest productivity (Blyth and MacLeod 1981;Jokela et al 1988;Zutter et al 1997). Although close relationships exist between these factors, patterns of spatial variation in soil C and N storage and the influence of forest productivity on these patterns have not been sufficiently investigated.…”

Section: Introductionmentioning

confidence: 99%

Spatial distribution of soil carbon and nitrogen storage and forest productivity in a watershed planted to Japanese cedar (Cryptomeria japonica D. Don)

Zushi

2006

Journal of Forest Research

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Digital terrain modeling was used to evaluate landscape-level spatial variation of soil C and N storage and site productivity in Japanese cedar (Cryptomeria japonica D. Don) stands. Soil C and N storage were measured in samples from surface soils (0-25 cm depth) of 29 Japanese cedar stands in the 205-ha Myougodani watershed, Toyama Prefecture. The site index (C. japonica tree height at age 40 years) was used as a measure of forest productivity. Seven terrain attributes (elevation, slope gradient, aspect, profile curvature, plan curvature, openness, and wetness index) were calculated from a digital elevation model. Soil C and N storage were negatively correlated with slope gradient and positively correlated with openness. Variation in the site index was closely related to the wetness index. The prediction models using terrain attributes as explanatory variables explained 50% of the variability in soil C storage, 53% of the variability in soil N storage, and 75% of the variability in site index. This result demonstrated that this technique is useful for estimating the spatial distribution of soil properties and productivity in forest landscapes. On the other hand, there was no correlation between site index and soil C and N storage. Use of the prediction models in a geographic information system revealed that the spatial distribution of forest productivity differed considerably from those of soil C and N storage.

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“…For example, in southeast Alaska, soil physical properties such as soil depth, soil drainage, coarse fragment and organic carbon content were important factors related to Sitka spruce site index (Stephens et al, 1968;Ford et al, 1998). On the other hand, in Great Britain, soil moisture content, soil colour, depth of raw humus, drainage status, and total N and P contents of the organic layer were important variables related to the yield class of Sitka spruce (Page, 1970;Blyth and MacLeod, 1981). Climatic variables also show significant relationships with the productivity of the species.…”

Section: Introductionmentioning

confidence: 94%

“…Blyth and MacLeod, 1981;Worrell and Malcolm, 1990;MacMillan, 1991;Hassall et al, 1994). The identification of which site quality variables are useful indicators of Sitka spruce productivity differs between studies, because the range of site quality variables examined varies widely between studies, studies are restricted to a narrow range of environmental factors where growth is strongly correlated with one or two variables, whose variability over the study area is low.…”

Section: Introductionmentioning

confidence: 99%

Sitka spruce site index in response to varying soil moisture and nutrients in three different climate regions in Ireland

Farrelly

Dhubháin

Nieuwenhuis

2011

Forest Ecology and Management

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Sitka Spruce (Picea sitchensis) in North-East Scotland I. Relationships between Site Factors and Growth

Cited by 35 publications

References 9 publications

The effects of site and stand factors on the tree and wood quality of Sitka spruce growing in the United Kingdom

The effects of site and stand factors on the tree and wood quality of Sitka spruce growing in the United Kingdom

Spatial distribution of soil carbon and nitrogen storage and forest productivity in a watershed planted to Japanese cedar (Cryptomeria japonica D. Don)

Sitka spruce site index in response to varying soil moisture and nutrients in three different climate regions in Ireland

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