scholarly journals METHODS OF STRENGTH GRADING OF STRUCTURAL TIMBER – COMPARATIVE ANALYSIS OF VISUAL AND MACHINE GRADING ON THE EXAMPLE OF SCOTS PINE TIMBER FROM FOUR NATURAL FOREST REGIONS OF POLAND

2019 ◽  
Vol 11 (3) ◽  
pp. 210-224 ◽  
Author(s):  
AGNIESZKA WDOWIAK ◽  
JANUSZ BROL
Keyword(s):  
Comparative Analysis ◽  
Scots Pine ◽  
Natural Forest ◽  
Structural Timber ◽  
Machine Grading ◽  
Forest Regions

Regional Height Growth Models for Scots Pine in Poland

2020 ◽  
Author(s):  
Jarosław Socha ◽  
Luiza Tymińska-Czabańska ◽  
Stanisław Zięba ◽  
Dominika Cywicka ◽  
Paweł Hawryło
Keyword(s):  
Scots Pine ◽  
Growth Models ◽  
Site Index ◽  
Height Growth ◽  
Growth Patterns ◽  
Natural Forest ◽  
Growth Trajectories ◽  
Regional Models ◽  
Site Productivity ◽  
Forest Regions

Abstract Background: Site productivity remains a fundamental concern in forestry as a significant driver of resource availability. The site index (SI) reflects the overall impact of all environmental parameters that determine tree height growth and is the most commonly used indirect proxy for forest site productivity estimated using stand age and height. One of the most critical challenges in the site index (SI) concept are local variations in climate, soil, and genotype-environmental interactions that lead to variable height growth patterns among ecoregions and cause inappropriate estimation of site productivity. Developing regional models can solve this problem and allow us to determine forest growth and SI appropriately.Results: Therefore, the purpose of this study was to develop regional height growth models (RMs) for the Scots pine in Poland. For height growth modelling, we used the growth trajectory data of 855 sample trees, representing the entire range of geographic locations and site conditions of the Scots pine in Poland. Collected growth trajectories were used for the development of the global height growth model (GM) for Poland and RMs for six natural forest regions, which were adopted as the spatial unit for the model regionalisation. Height prediction errors by the global model were found to be significantly larger than those obtained with regional models in all regions. The results showed significant differences between growth trajectories in natural forest regions I, II, and III located in northern Poland compared to stands in natural forest regions IV, V, and VI in southern Poland.Conclusions: The presented study showed differences in height growth patterns of Scots pines in Poland and revealed that the use of local models could improve the growth prediction and quality of the SI estimation. Developed RMs show better fit statistics and predictive validity than the GM developed for the countrywide scale. Differences in climate and soil conditions which distinguish natural forest regions affect height growth patterns of Scots pine. Therefore, extending this research to models which directly describe the interactions of height growth with site variables, such as climate, soil properties, and topography, can provide additional valuable forest management information.

scholarly journals Regional height growth models for Scots pine in Poland

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jarosław Socha ◽  
Luiza Tymińska-Czabańska ◽  
Karol Bronisz ◽  
Stanisław Zięba ◽  
Paweł Hawryło
Keyword(s):  
Scots Pine ◽  
Growth Models ◽  
Height Growth ◽  
Growth Patterns ◽  
Forest Growth ◽  
Natural Forest ◽  
Trajectory Data ◽  
Site Productivity ◽  
Forest Regions ◽  
Modelling Approaches

AbstractSite productivity remains a fundamental concern in forestry as a significant driver of resource availability for tree growth. The site index (SI) reflects the overall impact of all environmental factors that determine tree height growth and is the most commonly used indirect proxy for forest site productivity estimated using stand age and height. The SI concept challenges are local variations in climate, soil, and genotype-environmental interactions that lead to variable height growth patterns among ecoregions and cause inappropriate estimation of site productivity. Developing regional models allow us to determine forest growth and SI more appropriately. This study aimed to develop height growth models for the Scots pine in Poland, considering the natural forest region effect. For height growth modelling, we used the growth trajectory data of 855 sample trees, representing the Scots pine entire range of geographic locations and site conditions in Poland. We compared the development of regional height growth models using nonlinear-fixed-effects (NFE) and nonlinear-mixed-effects (NME) modelling approaches. Our results indicate a slightly better fit to the data of the model built using NFE approach. The results showed significant differences between Scots pine growth in natural forest regions I, II, and III located in northern Poland and natural forest regions IV, V, and VI in southern Poland. We compared the development of regional height growth models using NFE and NME modelling approaches. Our results indicate a slightly better fit to the data of the model built using the NFE approach. The developed models show differences in height growth patterns of Scots pines in Poland and revealed that acknowledgement of region as the independent variable could improve the growth prediction and quality of the SI estimation. Differences in climate and soil conditions that distinguish natural forest regions affect Scots pine height growth patterns. Therefore, extending this research to models that directly describe height growth interactions with site variables, such as climate, soil properties, and topography, can provide valuable forest management information.

scholarly journals Analysis of the genetic structure of a model Scots pine (Pinus sylvestris) seed orchard for development of management strategies

2013 ◽  
Vol 59 (No. 10) ◽  
pp. 377-387 ◽  
Author(s):  
O. Vanek ◽  
Z. Procházková ◽  
MatějkaK
Keyword(s):  
Genetic Structure ◽  
Scots Pine ◽  
Management Strategies ◽  
Seed Orchard ◽  
Similar Proportion ◽  
Gene Markers ◽  
Cone Production ◽  
The North ◽  
Forest Regions ◽  
Clone Identity

Genetic structure, diversity and clonal homogeneity were determined on the basis of the isozyme gene markers in a model Scots pine seed orchard in the north-eastern part of the Czech Republic that originated from natural forest regions NFR 28 and 29 (Jesen&iacute;ky Mts.) and the 2<sup>nd</sup> and 3<sup>rd</sup> forest altitudinal zones (FAZ). Clone and ramet crop variation for the 2009&ndash;2011 period was assessed. Comparing the loci measured also in two pine orchards in central Slovakia, a similar proportion of homogeneous clones but considerably lower expected heterozygosity were found out for most of the measured isozyme loci. Heterozygosity of the investigated orchard did not change considerably after the exclusion of alien and wrongly placed ramets. No difference in average cone production between clones originating from different NFR was observed. Verification of the clone identity of seed orchards managed in a certain way can be suggested with the subsequent removal of alien ramets.

scholarly journals Analysis of forest fires in Irkutsk region for 2010-2019

2021 ◽  
Vol 6 (1) ◽  
pp. 29-41
Author(s):  
T. I. Drozdova ◽  
E. V. Sorokovikova
Keyword(s):  
Comparative Analysis ◽  
Forest Fire ◽  
Forest Fires ◽  
Statistical Data ◽  
The State ◽  
Natural Forest ◽  
Ecological Problem ◽  
Eastern Siberia ◽  
Irkutsk Region ◽  
In Fire

The urgency of the ecological problem of natural forest fires in Russia, especially in rich forests of Eastern Siberia, makes it necessary to study their features, consequences, and measures to combat them. The aim of the article is to assess the state of forest fires in Irkutsk region over the last ten years. Based on the statistical data of monitoring in 33 districts, the dynamics of fires was studied, and areas affected by fires were identified. The largest number of fires was revealed in Irkutsk and Bratsk districts. The fire rate was assessed by districts in fire hazardous periods, and the largest fire rate was identified in Bratsk, Kachug, Irkutsk, and Katanga districts. The fire indicators for 2019 were compared with the average indicators for each district. A comparative analysis of the forest fire situation in Irkutsk region and its districts was carried out. Recommendations on possible firefighting measures were provided.

Comparative analysis of abscisic acid levels and expression of abscisic acid-related genes in Scots pine and Norway spruce seedlings under water deficit

2019 ◽  
Vol 140 ◽  
pp. 105-112 ◽  
Author(s):  
Pavel P. Pashkovskiy ◽  
Radomira Vankova ◽  
Ilya E. Zlobin ◽  
Petre Dobrev ◽  
Yury V. Ivanov ◽  
...  
Keyword(s):  
Abscisic Acid ◽  
Comparative Analysis ◽  
Water Deficit ◽  
Norway Spruce ◽  
Scots Pine

Comparative analysis of wettability with fire retardants of Poplar (Populus cv. euramericana I214) and Scots pine (Pinus sylvestris)

2020 ◽  
Vol 18 ◽  
pp. 100405
Author(s):  
Fatima Zohra Brahmia ◽  
Tibor Alpár ◽  
Péter György Horváth ◽  
Csilla Csiha
Keyword(s):  
Comparative Analysis ◽  
Pinus Sylvestris ◽  
Scots Pine ◽  
Fire Retardants

Comparison results of visual and machine strength grading of Scots pine sawn timber from the Silesian Forestry Region in Poland

2019 ◽  
Vol 107 ◽  
pp. 24-30
Author(s):  
SŁAWOMIR KRZOSEK ◽  
IZABELA BURAWSKA-KUPNIEWSKA ◽  
PIOTR MAŃKOWSKI ◽  
MAREK GRZEŚKIEWICZ
Keyword(s):  
Scots Pine ◽  
Visual Appearance ◽  
Machine Grading ◽  
Comparison Results ◽  
Sawn Timber ◽  
Machine Strength

Comparison results of visual and machine strength grading of Scots pine sawn timber from the Silesian Forestry Region in Poland. The paper presents an analysis of the strength grading results performed by two methods – visual (appearance) and machine, carried out for sawn timber obtained from the Silesian Forestry Region in Poland. Visual strength grading was performed in accordance with PN-D-94021:2013, while the machine strength grading with the use of MTG device from Brookhuis Electronics BV. As a result of the tests, it was confirmed that the machine grading results in a very small share of sawn timber classified as rejects. At the same time, during machine strength grading there were some sawn timber pieces that were not classified for any class or a reject. Based on its visual appearance, such timber elements should be graded as rejects.

scholarly journals Molecular-Genetic Analysis of Four Populations of Pinus sylvestris L., With Resin Acids With Anti-microbial Activity

2020 ◽  
Vol 6 (9) ◽  
pp. 37-44
Author(s):  
Ya. Sboeva ◽  
N. Pystogova ◽  
S. Boronnikova
Keyword(s):  
Genetic Diversity ◽  
Comparative Analysis ◽  
Genetic Analysis ◽  
Scots Pine ◽  
Molecular Genetic ◽  
Molecular Genetic Analysis ◽  
Resin Acids ◽  
Pcr Markers ◽  
Issr Pcr ◽  
Perm Region

74 ISSR-PCR markers were isolated in four studied populations of Scots pine in the Perm Territory, of which 67 (P95=0.905) were polymorphic. The studied populations are characterized by high rates of genetic diversity (P95=0.905; HE=0.187; ne=1.402; R=12). It was found that among the studied 4 populations of P. sylvestris, the population from the Gainskiy forestry (P95=0.842; HE=0.212; ne=1.358; R=1) possesses the highest genetic diversity, and the population from the Perm forestry (P95=0.800; HE=0.173; ne=1.282; R=1). A comparative analysis of the literature and the data obtained showed that the indicators of the genetic diversity of the studied populations of Scots pine in the Perm region have average values for the species (P95=0.905; HE=0.187; na=1.905; ne=1.402).

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