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The aim of the study is to determine the connection between the attitude towards the forest and life satisfaction of students. The study was conducted on a sample of 650 students from Polish universities using The Satisfaction With Life Scale and an original questionnaire measuring the approach towards the forest–LAS scale. There are 3 subscales which measured: the perceived benefits from spending time in the forest; the degree of involvement in exploring the forest and working to its advantage; fears connected with the forest. The scale indicated good psychometric properties. Its reliability expressed by Cronbach's alpha coefficient is at the level of 0.90 (0.93 for Benefits scale; 0.87 for Involvement and 0.79 for Fears). The results of the statistical analysis have led to conclusions confirming the relationship between life satisfaction and the results of LAS scale. People satisfied with their lives are more involved in exploring the forest, they enjoy more benefits connected with forest recreation and express fewer fears. Forestry students are characterised by the highest involvement and the lowest level of fears connected with the forest. As far as life satisfaction is concerned, they are in the lead among Polish students just behind students of medical and artistic studies. [ABSTRACT FROM AUTHOR]

Rhizosphere microbial communities can influence plant growth and development. Natural regeneration processes take place in the tree stands of protected areas, which makes it possible to observe the natural changes taking place in the rhizosphere along with the development of the plants. This study aimed to determine the diversity (taxonomic and functional) of the rhizosphere fungal communities of Norway spruce growing in one of four developmental stages. Our research was based on the ITS region using Illumina system sequencing. Saprotrophs dominated in the studied rhizospheres, but their percentage share decreased with the age of the development group (for 51.91 from 43.13%). However, in the case of mycorrhizal fungi, an opposite trend was observed (16.96–26.75%). The most numerous genera were: saprotrophic Aspergillus (2.54–3.83%), Penicillium (6.47–12.86%), Pyrenochaeta (1.39–11.78%), pathogenic Curvularia (0.53–4.39%), and mycorrhizal Cortinarius (1.80–5.46%), Pseudotomentella (2.94–5.64%) and Tomentella (4.54–15.94%). The species composition of rhizosphere fungal communities was favorable for the regeneration of natural spruce and the development of multi-generational Norway spruce stands. The ratio of the abundance of saprotrophic and mycorrhizal fungi to the abundance of pathogens was high and promising for the durability of the large proportion of spruce in the Wigry National Park and for forest ecosystems in general. [ABSTRACT FROM AUTHOR]

Introduction. Presented study is focused on the analysis of the correlation between slenderness (s) of larch (Larix decidua Mill.) and chosen biometric characteristics, growing at the mixed fresh coniferous forest site type. Material and methods. Data were collected on three plots being the part of the permanent experimental plot of the Silviculture Department, located at the Siemianice Forest Experimental Station. Geographic location 51°12'N and 18°03'E. Results. At the age of 30, the unattended larch tree stand has a two-layer structure. Trees characterized by the high values of the average slenderness index, s = 1.25 (m/cm). It was found that the average height (h) was 14.6 m, and the average diameter (DBH) - 12.15 cm. Results showed that s index is correlated with few biometric traits of trees. Additionally, it was found that the correlations of slenderness with other features of larch lose strength with the deterioration of biosocial position in the stand. The most strongly associated trait with slenderness is the tree breastbone (DBH) - independently of the biosocial position, followed by the width of the crown (dk). Conclusions. The 30-year-old larches growing in unmanaged stands, due to their large slenderness, are unstable, and thus may be less resistant to harmful effects of wind and snow. [ABSTRACT FROM AUTHOR]

The aim of this study was to elucidate how different nursery production methods influence the composition of and relationship between soil and root community levels of Abies alba. In the Międzylesie Forest District, we quantified the responses of samples of both community-level fine roots and surrounding soil to environmental changes evoked by various seedling production methods. Fungi levels were identified based on their ITS 1 region and 5.8 S rDNA component. Analysis was conducted using Illumina SBS technology, and the obtained sequences were compared with reference samples deposited in the UNITE. Chemical analysis of the soil was also performed. Different nursery production methods resulted in a strong decoupling in the responses of fungal community levels between soil and roots. Changes in growth conditions imposed by production methods were significant in determining species composition. We found differences in fungal communities among functional groups of samples. In the soil, the dominant species of mycorrhizal fungi were Tylospora asterophora, Amanita rubescens, and Russula ionochlora. Mycorrhizal fungi in roots included Tuber anniae, Thelephoraceae sp., and Acephala applanata. Specific soil substrate conditions significantly influenced fungal community composition, leading to an increase in abundance of mycorrhizal fungi, specifically T. anniae. [ABSTRACT FROM AUTHOR]

Prunus serotina Ehrh. is an alien invasive neophyte widespread in European forests. So far, no effective methods of its elimination have been developed. For this reason, the aim of our study was to determine how herbicides affect the morphological characteristics of pollen grains. This knowledge may be crucial to control this invasive species. The current study was carried out in a research area of 2.7 ha located in the Zielonka Forest near Poznań, Poland (N 52°31′58.016″, E 17°05′55.588″). We tested morphological differences among ten features of P. serotina pollen, based on the samples collected from 15 control trees compared to the 50 trees treated with five different herbicides. In total 1950 pollen grains were measured. We confirmed the adopted hypotheses of long-term herbicide influence on P. serotina pollen. Pollen grains from the control trees had a longer equatorial axis, were more elongated in shape and had the largest range of exine thickness compared to the pollen from the herbicide-treated samples. Exine thickness in the control sample was on average 0.74 µm, ranging from 0.42 to 1.19 µm. The average values and the ranges of this trait in the samples treated with herbicides were larger (e.g. average exine thickness was from 0.90 to 0.95 µm). There were differences in the P/E ranges of variability between the control and herbicide-treated samples. In the control sample the P/E ratio was 1.32–2.04 and elongated forms of pollen shapes prevailed, while in the herbicide-treated samples it ranged from 1.03 to 1.47. The share of deformed pollen grains in the herbicide-treated samples was lower than expected, ranging from 8.7 to 25.3%, while in the control samples it was 6%. Logo and Mustang turned out to be the most effective among the herbicides used in the described research. The two used application methods were found to have an effect on pollen quality. [ABSTRACT FROM AUTHOR]

Rapeseed is considered as one of the most important oilseed crops in the world. Vegetable oil obtained from rapeseed is a valuable raw material for the food and energy industry as well as for industrial applications. Compared to other vegetable oils, it has a lower concentration of saturated fatty acids (5%–10%), a higher content of monounsaturated fatty acids (44%–75%), and a moderate content of alpha-linolenic acid (9%–13%). Overall, rapeseed is grown in all continents on an industrial scale, so there is a growing need to predict yield before harvest. A combination of quantitative and qualitative data were used in this work in order to build three independent prediction models, on the basis of which yield simulations were carried out. Empirical data collected during field tests carried out in 2008–2015 were used to build three models, QQWR15_4, QQWR31_5, and QQWR30_6. Each model was composed of a different number of independent variables, ranging from 21 to 27. The lowest MAPE (mean absolute percentage error) yield prediction error corresponded to QQWR31_5, it was 6.88%, and the coefficient of determination R2 was 0.69. As a result of the sensitivity analysis of the neural network, the most important independent variable influencing the final rapeseed yield was indicated, and for all the analyzed models it was "The kind of sowing date in the previous year" (KSD_PY). [ABSTRACT FROM AUTHOR]