Urban Forestry & Urban Greening最新文献

Urban trees and forests provide many benefits to the urban environment and are important for climate change adaptation. Yet, they are increasingly threatened by insect pests and diseases, hereafter tree pests/diseases. There is little evidence of the risk awareness and knowledge of different urban stakeholders of this growing threat, how they are affected by tree pests/diseases, and how they might respond to it. To fill this gap, we undertook an online survey of different key stakeholder groups associated with urban trees and forests in Germany. A majority of 75.8 % of the 186 respondents consider urban tree pests/diseases a severe problem and 51.1 % reported high knowledge of tree pests/diseases. There was a lack of knowledge of certain reportable quarantine pests/diseases (e.g., canker stain of plane, emerald ash borer, Xylella) and pest/disease management options (e.g., manual treatment methods and tree diversification). Respondents were most affected by the horse chestnut leafminer (61.3 %), ash dieback (58.1 %) and oak processionary moth (50.0 %). The most widely used pest remedial measures were improvements of tree living conditions (60.8 %) and purchases of plants from certified or trusted local sources (59.7 %). Multiple correspondence analysis showed a significant association between levels of knowledge of tree pests/diseases and pest management responses (11.7 %). Our results suggest that future efforts to improve urban tree health should be enhanced and tailored to the different requirements of various stakeholder groups. The findings of this first comprehensive study with a purely urban focus will inform the development of future activities that prevent or reduce the spread of tree pests/diseases in urban areas.

Data Availability

The survey respondents did not give permission for the full data to be accessed or used by third parties.

In the current era of increasing urbanization, urban green spaces play a crucial role in enhancing human well-being. However, quantifying public perceptions from text data at spatio-temporal scales remains challenging, and the relationship between urban green space perception and spatial-physical attributes requires further exploration. This study systematically examines public perceptions of urban green spaces within Singapore's urban parks from 2018 to 2022. Utilizing Twitter data, it applies large language models to conduct textual content analysis related to urban green space. The findings reveal a positive trend, with individuals expressing favorable perceptions and satisfaction towards urban green spaces in Singapore. Specifically, this study demonstrates that people's perceptions of urban green spaces are influenced by vegetation density. Higher vegetation density heightens people's awareness of spatial presence, while shrub and grassland may lead to neglect of urban green spaces as individuals focus more on themselves. Additionally, due to the spatial heterogeneity of the area, there is no clear correlation between all land covers and public satisfaction with urban green spaces in Singapore. The results also indicate a significant decrease in public perception in 2020, followed by a subsequent recovery. This fluctuation is attributed to the substantial impact of the COVID-19 pandemic, suggesting that external socio-political, economic, and public health events can impact public green space needs and spatial perceptions. In conclusion, this study contributes to the understanding of urban green spaces by effectively analyzing textual content extracted from social media data using large language models. The insights gained contribute valuable to the following discussions regarding the planning and design of urban green spaces and urban parks.

The mechanism and effectiveness of urban greenery in mitigating urban heat islands, regulating microclimate, and enhancing thermal comfort has been extensively studied during the last decades. While sporadic empirical evidence has been generated, the trends and patterns of existing scholarship pertinent to urban greenery’s cooling effect have been rarely summarized and synthesized. To bridge this knowledge gap, the present paper systematically reviewed 310 relevant publications in the Web of Science database (1998–2022) and conducted a bibliometric analysis to depict a comprehensive profile of urban greenery’s cooling effect, focusing on global research trends, prevalent research topics, and future prospects. Our analytical results reveal (1) a steady increase in publications, active journals, and knowledge-generating institutions since 2008 that might be attributed to the free accessibility of diverse remote sensing data; (2) a significant increasing trend of transdisciplinarity and interdisciplinarity, expanding from Environmental Science and Ecology to various subjects such as Engineering, Remote Sensing, Construction & Building Technology, Urban Forestry, and Urban Studies; (3) four influential publication outlets including Urban Forestry & Urban Greening, Science of the Total Environment; Building and Environment, and Sustainable Cities and Society; (4) core research themes focusing on the association of urban greenery’s biophysical characteristics with cognate cooling effect, urban heat island mitigation, and land surface temperature; and (5) several new research themes that have not yet well-developed in the extant literature, including the integration of various analytical approaches to up-scale empirical studies from micro-scale to meso- and global scales, extending urban greening-thermal comfort to public health and social thermal justice, and coupling urban greenery’s cooling effect with other environmental/ecological benefits to inform the design of urban greenery for biodiverse, climate-resilient and sustainable cities. Findings of this synthetic review offer a reference for the research focusing on urban greenery’s cooling effect, and provide clear direction for further development of cognate scholarship that is urgently needed facing more frequent urban climate extremes along with global warming.

Because of the growing population density and rate of urban development, the question of biodiversity conservation in cities and towns is increasingly important. In general, urban environments provide attractive habitats for a diversity of wild bees, but different types of urban habitats can have different effects on these pollinating insects. In this study, we compared the attractiveness of two different urban habitat types – parks (10 sites) and wastelands (10 sites) located in river and canal valleys in Bydgoszcz (northern Poland) – with respect to abundance, species richness, species composition, and functional trait composition of wild bees. We hypothesized that urban wastelands are more attractive to wild bees than urban parks are. Urban wastelands were characterized by higher abundance and species richness of wild bees compared to urban parks. When habitat type was the only predictor, nonlinearity of wild bee abundance and species richness was significant exclusively for wastelands. Overall, both wild bee abundance and species richness depended on the percentage of total bee food plant coverage, regardless of habitat type. Wild bee community composition also responded significantly to the percentage of total bee food plant coverage. Local and landscape features of the green spaces affected the functional traits of the wild bees recorded there. These findings reveal that formal green spaces, such as managed parks, are not sufficient to conserve wild bee resources in urban environments in river and canal valleys. In contrast, high-quality informal urban green spaces, such as urban wastelands, can promote abundant and rich wild bee communities. Thus it is crucial to strive for appreciation and protection of this persistently overlooked category of urban green spaces.

With the acceleration of global climate change and urbanization, the climate and environment in urban and rural areas exhibit significant differences that may impact tree growth. The specific mechanisms underlying the interaction between climate change and urbanization on tree growth remain unclear. In this study, we investigated the interaction using a tree ring network spanning a gradient from the urban centre to rural areas. Our findings indicate that urbanization enhances tree growth in urban areas, likely due to elevated temperatures and increased concentrations of carbon dioxide and nitrogen oxides. Conversely, rural tree growth appears to be predominantly influenced by climatic factors, particularly hydrothermal conditions which account for over 96 % of the variance. Additionally, we observed a gradual increase in the correlation between tree growth and climate factors as we move from the urban centre to rural areas. Overall, our results suggest that prolonged human disturbance and urbanization may reduce the sensitivity of trees to climate change while promoting their growth in urban settings. These findings offer valuable empirical data and insights for future studies on urban tree growth models and provide a foundation for urban landscaping practices.

To meet urban resilience goals and the needs of growing populations, cities aim to develop multifunctional greenspaces and urban forests. Urban greening is seen to improve the quality of life for residents, contribute significantly to biodiversity conservation and socio-ecological resilience, and meet climate mitigation and adaptation goals. There is also a growing recognition of the importance of involving individuals and communities in the design and planning of greenspace in cities, particularly in the configuration of parks and in identifying the types of vegetation found there. In these contexts, it is increasingly common to engage the public with virtual 3D landscapes, with the ultimate goals of crowdsourcing preferences, knowledge, and patterns of use. There have been few studies to systematically examine how the public interacts with these virtual spaces, and their decision-making needs. Experts have a fluency with a broad range of ecosystem services that flow from urban greenspaces, as well as a familiarity with trees and other landscape elements. This is not the case for the public, who may instead rely on familiar and visually salient landscape attributes. This is in keeping with the concept of constructed preferences, where judgements are formed as they are elicited and are heavily influenced by available information. This study thus compares aided and unaided decision-making by the public in a virtual 3D urban park. Participants were invited to plant trees in park; some participants were provided with a brief description of a key ecosystem function of each tree (along with an illustration of that tree), other participants were only provided the illustration. Three key insights emerge from this research: (i) public tree preferences are sensitive to whether information is provided or withheld, (ii) in the absence of information, easy to evaluate characteristics (i.e., visually salient characteristics) played a large role in tree selection within the virtual urban parks, and (iii) for most participants, and consistent with other studies, aesthetics was the most important attribute guiding tree choice. These insights can support improved public engagement in landscape design and planning, particularly in crowdsourced and virtual settings.

Health clinic gardens (HCGs) are social-ecological systems (SESs) associated with health clinics on government land and are intended to provide fresh vegetables and fruits to patients struggling to keep healthy immune systems. Little is known about their comparability to other garden types with regards to plant distribution and potential utilization, and thus their potential to address some of the challenges limiting ecosystem services (ESs) provision in other garden types. In this study, we report on the floristic composition and presence of utilitarian plant species at 105 HCGs across a district municipality in the North-West Province, South Africa. Different micro-gardens, including vegetable, medicinal, ornamental, natural vegetation, bare soil, orchard, hedge, and lawn micro-gardens, were identified. To understand plant composition, species were classified according to status of origin, invasive characteristics, Raunkiaer’s life-forms, growth forms, and potential usefulness. To determine the frequency of species occurrence we enumerated the number of gardens containing the respective species. Six-hundred and thirty-three species from 404 genera and 116 plant families were encountered. Cynodon dactylon (L.) Pers. and Urochloa mosambicensis (Hack.) Dandy, found in 91 % and 79 % of gardens, respectively, occurred the most. Herbaceous species were the most dominant, with Schkuhria pinnata (Lam.) Kuntze ex Thell. and Conyza bonariensis (L.) Cronquist occurring the most. Plant species richness was greater in the ornamental (282 species) and natural area (naga) (281 species) micro-gardens, while the hedge had the least (8 species). Fifty-five percent of species in the natural vegetation micro-garden were indigenous, compared to 44 % in the ornamental micro-garden. There was greater diversity in fruit-bearing plants, and most medicinal plant species (70 %) are used as a tonic. Health clinic gardens resemble home gardens and are well positioned to enhance ESs provision at the community scale. Future HCGs research should evaluate community usage of the gardens and the extent to which knowledge of useful plants and efficient gardening practices is upscaled to home gardens around HCGs.

Urban parks, as important carrier of outdoor physical activity, can effectively reduce the incidence of chronic diseases and promote public health. The accessibility of parks directly affects residents’ levels of physical activity. However, current accessibility assessments do not consider physical activity needs into account and are unable to adapt to the current developmental needs of a healthy China. We propose a framework for evaluating park accessibility oriented towards a physical activity service perspective. First, we introduced a park attractiveness index based on physical activity preferences. The index encompasses not only objective park features but also subjective environmental perception features, which are evaluated using deep-learning techniques. Furthermore, the size of the park catchment area was correlated with the park attractiveness index, and the likelihood of park selection based on people's physical activity preferences was computed. Fuzhou City's Gulou District was selected for this case study. The results show the following: (1) Our proposed evaluation model can identify more underserved neighborhoods in scenarios geared toward physical activity requirements than traditional approaches. (2) The distribution of parks in the Gulou District was not sufficiently balanced, with the accessibility value at the 90th percentile only slightly higher than the average value of 6.35. There was obvious spatial differentiation, with a pattern of high values in the central area and low values in the surrounding areas. (3) Approximately 12.70 % of the population is located within service-blind zones and the overall level of accessibility is poor. This study offers novel ideas and approaches for optimizing the spatial layout of urban parks within a health-oriented framework. This aids planners and policymakers in enhancing the spatial layout of parks and ensuring equitable access to urban parks that foster physical activity.

Statement of problem

In the face of increasing urbanization, the pursuit of healthy and sustainable cities promoting a high quality of life intertwined with nature is paramount.

Purpose

This research endeavors to assess the impact of variations in nature interaction styles on health, with the objective of generating evidence to inform the design of urban green spaces.

Method

Ethically approved by the Human Research Ethics Committee (CAAE 58149622.3.0000.0077), a survey involving 2136 respondents was conducted. Participants reported their nature engagement frequency, duration, and intensity, alongside mental health assessments using the Depression, Anxiety, and Stress Scale (DASS-21). Welch's ANOVA and Cohen’s d were employed to derive meaningful effect size.

Conclusions

This research provided empirical insights into the relationship between nature interaction and public health, thus offering evidence to inform urban green space design.

Practical implications

The findings are expected to empower urban planners and policymakers with evidence-based strategies for creating urban green spaces conducive to physical activities, leisure events, and nature-based recreation, promoting public health through appropriately timed and frequented activities.

Future directions

Further research avenues may include longitudinal studies to assess the long-term impact of nature interaction on mental health and the implementation of evidence-based design strategies in urban green space development.