Current issue: 58(5)

Scopus CiteScore 2023: 3.5
Scopus ranking of open access forestry journals: 17th
PlanS compliant
Select issue
Silva Fennica 1926-1997
1990-1997
1980-1989
1970-1979
1960-1969
Acta Forestalia Fennica
1953-1968
1933-1952
1913-1932

Articles containing the keyword 'stone pine'

Category : Article

article id 7536, category Article
Karl Oskar Elfving. (1915). White pine blister rust (Cronartium Peridermium Strobi Kleb) (Cronartium ribicola) found on stone pine (P. cembra) in Finland. Acta Forestalia Fennica vol. 4 no. 4 article id 7536. https://doi.org/10.14214/aff.7536
Keywords: stone pine; fungi; Pinus Cembra; swiss pine; White pine blister rust; Cronartium Peridermium Strobi Kleb; Cronartium ribicola; fungus
Abstract | View details | Full text in PDF | Author Info

An occurrence of Cronartium Peridermium Strobi Kleb has been found in a privately owned garden in Tampere. They are found in several types of currant that the fungus uses as alternate host. The fungi have earlier been found on eastern white pine and now seemingly for the first time on stone pine. 

  • Elfving, E-mail: ke@mm.unknown (email)
article id 7529, category Article
Lauri Ilvessalo. (1913). Experiments with foreign tree species in state forest Vesijako, Finland. Acta Forestalia Fennica vol. 2 no. 2 article id 7529. https://doi.org/10.14214/aff.7529
Keywords: larch; Abies balsamea; Picea glauca; Pinus mugo; white spruce; balsam fir; Abies alba; Abies pectinata; Picea alba; Pinus strobus; Pinus montana; Pinus mugho; Siberian stone pine; Siberian fir; Abies sibirica o. pichta; white fir; Weymouth pine; European
Abstract | View details | Full text in PDF | Author Info

The study area is state owned forest of Vesijako in southern middle Finland that has earlier been intensively managed with slash-and-burn agriculture and then partly reforested with foreign coniferous tree species after controlled burnings. The total area planted with foreign species consists of 66 sample areas, altogether 28 hectares. The data has been collected in summer 1909. 

The most of studied sample areas have been unsuccessful, but there are still many areas that are too young to be assessed. The originally with foreign species reforested areas are now pine stands. The tree species in experiments have been e.g. larch (Larix sibirica and L. europaea), Siberian stone pine (Pinus cembra sibirica), Siberian fir (Abies sibirica o. pichta), balsam fir (Abies balsamea), white fir (Abies pectinate also Abies alba), white spruce (Picea alba also Picea glauca), Weymouth pinen (Pinus strobus) and European / Swiss mountain pine (Pinus montana  also P. mugo, P. mugho).

The most important result of the experiments with controlled burning is that stand of grey alder (Alnus incana) with only low economic value can be effectively altered into coniferous forests (Pinus silvestris).
  • Ilvessalo, E-mail: li@mm.unknown (email)

Category : Research article

article id 394, category Research article
Rafael Calama, Gregorio Montero. (2005). Multilevel linear mixed model for tree diameter increment in stone pine (Pinus pinea): a calibrating approach. Silva Fennica vol. 39 no. 1 article id 394. https://doi.org/10.14214/sf.394
Keywords: mixed model; diameter increment; calibration; stone pine
Abstract | View details | Full text in PDF | Author Info
Diameter increment for stone pine (Pinus pinea L.) is described using a multilevel linear mixed model, where stochastic variability is broken down among period, plot, tree and within-tree components. Covariates acting at tree and stand level, as breast height diameter, density, dominant height or site index are included in the model as fixed effects in order to explain residual random variability. The effect of competition on diameter increment is expressed by including distance independent competition indices. The entrance of regional effects within the model is tested to determine whether a single model is sufficient to explain stone pine diameter increment in Spain, or if, on the contrary, regional models are needed. Diameter increment model can be calibrated by predicting random components using data from past growth measurements taken in a complementary sample of trees. Calibration is carried out by using the best linear unbiased predictor (BLUP) theory. Both the fixed effects model and the calibrated model mean a substantial improvement when compared with the classical approach, widely used in forest management, of assuming constancy in diameter increment for a short projection period.
  • Calama, CIFOR-INIA, Grupo Selvicultura Mediterranea, Apdo. 8111, 28080 Madrid, Spain E-mail: rcalama@inia.es (email)
  • Montero, CIFOR-INIA, Grupo Selvicultura Mediterranea, Apdo. 8111, 28080 Madrid, Spain E-mail: gm@nn.es

Register
Click this link to register to Silva Fennica.
Log in
If you are a registered user, log in to save your selected articles for later access.
Contents alert
Sign up to receive alerts of new content
Your selected articles