In terms of the process of air purification, a lot of attention has been devoted to trees and shrubs. Little attention has been paid to herbaceous vegetation from the lower forest layers. Urban forests are often located on the outskirts of cities and surround exit roads where there is heavy traffic, generating particulate matter (PM) pollution. The aim of this study was to investigate the spread of PM from the road traffic in the air and to investigate how individual layers of urban forests accumulate PM. We conducted comparative analyses of PM accumulation on plants in five zones away from the road, into the forest, in the air, and in four vegetation layers: mosses, herbaceous plants, shrubs and trees. The results show that all forest layers accumulate PM. We show that PM is very efficiently accumulated by herbaceous plants growing along roadsides, and that the PM that was not deposited on herbaceous plants was accumulated by trees and shrubs. With increasing distance from the road into the forest, the PM content on herbaceous plants decreased and the accumulation on trees and shrubs increased. We estimated that PM concentration in the air dropped significantly in the front line of the trees, but it was still detectable up to 50 m into the forest. The results presented herein show that meadow vegetation and urban forests play a very important role in air purification. Our results provide a better understanding of the complexity of urban forest interactions and provide the basis for better planning of urban greenery.

Due to its sensory qualities and therapeutic properties, honey is a desirable dietary ingredient. Despite the growing interest in proper nutrition in developed countries, honey consumption in developed countries is relatively low. This is also true in Poland. Hence, research was undertaken to determine Polish consumers’ behaviour with regard to honey, and its determinants, with particular emphasis on nutritional knowledge and health status. The relationships between the different aspects of consumer behaviour in the honey market and the demographic and economic characteristics of the respondents were verified using the Mann–Whitney U test for comparisons of non-dependent groups for variables on an interval scale. A multiple regression model was developed to examine the relationship between the respondents’ nutritional knowledge and their honey-related behaviour, while the relationship between the respondents’ health status and their behaviour towards honey was verified using a logistic regression model. Obtained results indicate that gender, age, education, and income differentiate consumers’ behaviour with regard to honey. The level of nutritional knowledge had a moderate effect on variations in the respondents’ behaviour. A better assessment of health status was associated with greater importance of nutritional-health motivators of honey consumption, while poorer health status determined a greater importance of such determinants as the place where honey is sold or its label attractiveness.

The paper presents results of questionnaire research conducted to determine social preferences regarding leisure in Warsaw municipal forests (WMF) (Poland). The preferences pertained to frequency of visits and willingness to pay for recreational infrastructure in a forest depending on its appearance, level of development, and the respondent’s income. The data were processed using statistical analysis (ANOVA Friedman test, U Mann–Whitney test, logistic regression). The results show that the higher the development level of a forest, the more often young people choose it for leisure. Willingness to pay for a forest depends on its development level, with respondents more willing to fund forests with a higher development level. No such correlation with the respondents’ income was found. Preferences regarding the selection of a specific type of forest for leisure were dependent on per capita income of the respondents only in the case of forests at a lower level of development. A forest’s preference level affected the willingness to pay for it and varied depending on the development level.

Particulate matter (PM) is a serious air pollutant that poses significant health risks. One solution to reduce PM concentrations in these areas is through phytoremediation, a process that involves using plants to remove contaminants from the environment. In this study, we investigated the capacity of spontaneous flora—herbaceous plants, shrubs, and trees growing in five zones from the road—to absorb PM on their foliage. The study found significant differences in the accumulation of PM, with the highest PM accumulation recorded in Zone V, which boasted a blend of the three mentioned vegetation types together. In contrast, Zones I and II, which were located close to the road and comprised solely herbaceous plants, exhibited 14.3% and 43.4% less PM accumulation, respectively. Similarly, Zone IV, with a mix of herbaceous plants and shrubs, showed 64.5% less PM accumulation, while Zone III, with only herbaceous plants, had a staggering PM accumulation reduction of 76.8%. The sum of Si+Al+Ca displayed a similar pattern. Furthermore, the findings highlighted the valuable role of plants in decreasing PM concentrations in the air, resulting in reductions of 76%, 39%, and 47% for PM₁₀, PM_2.5, and PM_1.0, respectively. The results indicate that various spontaneous flora can work in unison to reduce PM, providing a multifaceted approach to combating air pollution.

Spending time in the natural outdoor environment is a part of a healthy lifestyle. This study focused on identifying elements of green infrastructure that have a positive impact on both increasing physical activity, spending time outdoors and improving overall health. The aim of the research was to identify which elements of the settlement units’ green and blue infrastructure, related to residents’ preferences for greenery, influence more physical activity and spending time in green spaces and improve the healthy feeling of users as perceived by respondents. A total of 721 respondents from Poland took part in the survey. Using multiple regression models, the factors that influence an increase in outdoor physical activity Green Physical Activity Index (GPAI) were: using green spaces for exercise, spending time outdoors, exposure to nature and sufficiently large amounts of green space in the neighborhood and proximity to places to walk the dog. In contrast, physical activity has been shown to improve feeling healthy (health declaration). The main findings show that the increase in physical activity outdoors (GPAI) is positively influenced by factors related to respondents’ reasons for being outdoors, rather than the attractiveness and availability of green infrastructure. The research confirmed the necessity of arranging green areas with rich offerings in terms of a variety of activities for leisure visitors, to give them more opportunities for being outdoors.