Green Space Research Articles

The use of seaweed in the production of ornamental plants

Ornamental plants play a crucial role in urban green spaces by enhancing aesthetic value and providing ecological and economic benefits. They help improve air quality, support biodiversity, and contribute to environmental purification. The horticultural industry benefits from cultivating ornamental plants, it faces challenges such as soil health and environmental pollution due to high-yielding cultivars and chemical fertilizers. To address these challenges, integrating sustainable practices, such as using seaweed as an organic fertilizer, can provide solutions. Seaweed, rich in essential nutrients and growth hormones, improves soil fertility, plant growth, and resilience against environmental stresses. Studies have shown its effectiveness in enhancing growth parameters, mitigating salinity stress, and increasing yield and quality in various ornamental plants. However, the response to seaweed varies across species and conditions. To optimize its use, tailored application rates, combined sustainable practices, and continuous monitoring are recommended. Further research is also needed to develop comprehensive guidelines for its application in ornamental plant production.

Leverage Effect of New-Built Green Spaces on Housing Prices in a Rapidly Urbanizing Chinese City: Regional Disparities, Impact Periodicity, and Park Size

While newly built urban green spaces aim to address environmental concerns, the resulting green gentrification and social inequality caused by escalating property values have become critical topics of urban socio-spatial research. To prevent green initiatives from becoming unaffordable for their intended beneficiaries in rapidly urbanizing cities, it is essential to examine the spatial and temporal relationships between the construction of new green spaces and rising housing prices. This study employs a difference-in-differences methodology to analyze regional disparities, impact periodicity, and the influence of park size on housing prices, using Nanjing, China as a case study. This result reveals that the introduction of new-built parks in Nanjing significantly impacts housing prices within an 800 m radius. The premium effect of these parks is substantially higher in urban core areas compared to suburban locales, demonstrating spatial differentials. Suburban parks temporally exhibit a prolonged lag and a shorter premium impact duration. Moreover, among various park areas, medium-sized parks demonstrate the most pronounced leverage effect, approximately double that of large parks, while small parks do not significantly affect housing prices. To mitigate the exacerbation of premium effects and enhance social justice in green strategies, we advocate prioritizing the development of small parks, particularly in urban core areas, and leveraging the temporal delay in new-built park impacts for urban policy interventions.

Revealing Public Perceptions of Biodiverse vs. Turf Swales: Balancing Enhanced Ecosystem Services with Heightened Concerns

Green stormwater infrastructure (GSI) is increasingly implemented worldwide to address stormwater issues while providing co-benefits such as habitat provision. However, research on public perceptions of GSI’s ecosystem benefits is limited, and barriers such as perception and maintenance hinder biodiversity promotion in GSI. Through an online survey (n = 781), we explored how residents in four Northeast US urban areas—Prince George’s County and Montgomery County, MD, New York City, and Philadelphia, PA—perceived the benefits and concerns regarding two types of bioswales (biodiverse and turf). Biodiverse swales feature various plants to promote biodiversity, whereas turf swales are primarily grass-covered. Our analyses included paired-samples t-tests, independent t-tests, one-way repeated measures ANOVA tests, and one-way ANOVA tests to compare perceptions across bioswale types, aspects of benefit/concern, and locations. Both bioswale types were recognized for enhancing green spaces and neighborhood aesthetics. Residents perceived greater environmental and social benefits from biodiverse swales than turf swales, particularly for habitat provision. While overall concerns for both bioswale types were low, potential issues like pest cultivation and the unappealing appearance of biodiverse swales remain significant barriers. Notably, implementing biodiverse swales alleviated initial concerns, especially about pests, suggesting familiarity can enhance acceptance. Location-specific differences in perception were observed, with New York City showing higher perceived benefits and concerns and Montgomery County exhibiting the lowest concerns. This variance is likely due to distinct urban environments, levels of environmental awareness, and demographic profiles.

Accumulation of heavy metals in the leaves of different tree species and its association with the levels of atmospheric PM2.5-bond heavy metals in Isfahan

This study aimed to biomonitor air pollution by measuring heavy metals (HMs) accumulation levels in the leaves of common urban trees, Cupressus arizonica Greene, Melia azedarach L., Morus alba L. and Buxus colchica in different regions of Isfahan. Their association with the levels of PM2.5 and PM2.5-bond HMs was also investigated. PM2.5 were collected on a glass-fiber filter and measured by gravimetric method. The HM contents of the PM2.5 and tree leaves were extracted and analyzed by ICP-OES. The average PM2.5 concentrations in ambient air of all areas varied from 52.34 to 103.96 μg/m3. The mean HMs levels in the leaves were in the following orderZn(31.2) > Cu(11.04) > Pb(4.38) > Ni(4.01) > Cr(3.03) > Co(0.61) > Cd(0.04) (μg/g). The highest level of HMs was detected in the leaves of Morus alba L., followed by Buxus colchica, Melia azedarach L. and Cupressus arizonica Greene. There was a significant correlation between the amounts of Pb and Cu in tree leaves and those in ambient PM2.5 (p value ≤ 0.05). In conclusion, tree leaves can be used as a suitable bioindicator in the evaluation of air pollution. Morus alba L. compared to the other species can be confidently used for green space development.

Urban green space, perceived everyday discrimination and mental health among rural-to-urban migrants: a multilevel analysis in Wuhan, China

BackgroundWhile the mental health benefits of urban green spaces (UGS) are increasingly recognized, less is known about how these relationships vary for socially marginalized groups. This study investigates the association between UGS and mental health among rural-to-urban migrants in Wuhan, China, examining the roles of the quality and quantity of UGS and the intermediary function of perceived everyday discrimination.MethodsWe used Multilevel Structural Equation Modeling to analyze data from a social survey, integrating with park-related social media ratings, street view imagery, and geospatial datasets to characterize UGS features and contextual factors, therefore verifying our hypotheses.ResultsBoth the quality and quantity of UGS significantly influence migrants’ mental health, with quantity demonstrating a stronger overall correlation, challenging common assumptions. Notably, social media scores of parks, reflecting positive user experiences, were found to improve mental health. However, the relationship with UGS quantity was nuanced: higher park density and green view index were positively associated with mental health, while increased park area proportion demonstrated the opposite effect. Furthermore, perceived discrimination emerged as a critical socio-psychological factor and operated spatial heterogeneity. In inner-city areas, neighborhoods characterized by plaza-type parks and high park density were associated with reduced perceived discrimination among migrants, showing active social functions of UGS. However, larger park areas are paradoxically correlated with increased discrimination experiences and poorer mental health. Interestingly, this mediatory effect of perceived discrimination was less pronounced in inner-suburban areas. These findings suggest a nuanced role of UGS in the lives of migrants. While certain aspects of UGS quantity, such as plentiful smaller parks, can facilitate social inclusion and improve mental health, others, like overlarge parks, may unintentionally contribute to feelings of marginalization and negatively impact mental health.ConclusionOur findings highlight the crucial need for context-sensitive green space planning that balances quality and quantity while mitigating discriminatory experiences to improve the mental health of rural-to-urban migrants.

PREDICTING LAND USE CHANGES USING MARKOV CHAIN ANALYSIS AND HIERARCHICAL ANALYSIS OF PUBLIC SERVICE CENTERS IN BANDA ACEH CITY

The city of Banda Aceh, as the center of development in its region, is faced with a series of complex problems, one of which is the lack of optimal distribution of public service centers throughout the city. Banda Aceh City Central Statistics Agency (BPS) documents 2012-2022 and Banda Aceh City Spatial Plan (RTRW) documents 2009-2029 related to this research. Data in tabulated and descriptive form includes geographical conditions of the research area, land use area, types of facilities and their numbers, population, and distance between areas, and maps related to the research. This study aims to see land use conditions using the markov chain method and provide an overview of the public service center system of Banda Aceh City using the Scalogram method, centrality index, and gravity. Based on Markov chain analysis, land use predictions indicate that residential areas, offices and trade, tourism, worship, and sports facilities will continue to increase, while water bodies, green open spaces (RTH), and non-green open spaces (RTNH) will continue to decline. Predictions until 2039 show that conditions have begun to stabilize. Scalogram analysis takes into account hierarchy based on the type of facilities available, centrality index that calculates hierarchy based on many available facilities, and gravitational interaction that takes into account the strength of interaction between sub-districts shows that Kuta Alam District has the potential to become a major service center in Banda Aceh City. This sub-district has the most complete facilities, supported by the highest interaction value.

Exploring the negative perceptions of tree-based urban green space. People's behaviour and management are crucial

Studies dealing with services and benefits of urban green space are overrepresented compared to those addressing disservices, perceived constraints and other negative perceptions. Even when focusing on disservices and perceived constraints, the studies often take into account only a limited number of reasons for the negative perception. In this study we conducted a series of focus group interviews with the members of the public in the city of Zagreb (Croatia) with the goal of grasping the variety of reasons for negative perception, providing classification of those perceptions and exploring whether and how the perception is related to sociodemographic characteristics. Participants mostly discussed negative perceptions due to the behaviour of other users and perceived inadequate management of urban green space, while the least about the perception of safety. Tree disservices accounted only for a small portion of overall reasons for the negative perception. Age, gender, household income, employment status, number of preschool children and the length of living in Zagreb proved statistically significant for the perception, while education was not. Focus groups as a method enabled cataloguing the variety of reasons for negative perception. Understanding the range of reasons leading to the negative public perception of urban green space contributes to better planning, management and meeting public needs and expectations.

Urban green spaces in early childhood education and care: insights from teachers in Stavanger, Norway

ABSTRACT This study explores the role of urban green spaces (UGSs) in Early Childhood Education and Care (ECEC) teachers’ pedagogical practices and their impact on young children's environmental and sustainability learning. Utilizing observations, teacher interviews, conversations, and a comprehensive survey conducted in Stavanger, Norway, the study reveals the crucial role of UGSs in shaping both teachers’ pedagogical practices and children’s learning across various subject areas. The research highlights the educational significance of diverse UGSs in providing varied and tailored learning experiences that are crucial for children's education and development. In line with this, the study provides findings supporting the application of experiential learning theory within UGSs and ECEC settings. Additionally, the findings reveal a growing concern among teachers about the reduction of UGSs due to increasing urbanization. These results underscore the need for both teachers’ advocacy and strategic policy to preserve UGSs, ensuring their availability for future generations.

Multi-scale analysis of urban forests and socioeconomic patterns in a desert city, Phoenix, Arizona

Understanding the relationship between various socioeconomic factors and urban forest structure is essential for directing resources to ensure equitable distribution of green space. Through a case study of a desert city, i.e., Phoenix, AZ, this study provides a novel application of Multiscale Geographically Weighted Regression (MGWR) in which we explore the spatially variable relationships between a wide array of socioeconomic indicators and urban forest attributes. Through the computation of various scales of influence for different explanatory variables, MGWR enhances our analysis’s precision and stresses the association between socioeconomic status and urban forest structure at local and regional scales. Our results indicate that although there has been a pattern of green inequality where minority and low-income communities have less access to urban forests, education levels were mostly insignificant based on the MGWR results. In some instances, higher incomes are negatively correlated with tree canopy coverage. Additionally, the stem density model outperformed the canopy coverage model in terms of prediction accuracy. This research adds a new dimension to urban forestry literature and emphasizes the value of customized urban planning strategies and the environmental justice implications of urban forestry, particularly in arid environments.

Measuring Environmental and Behavioral Drivers of Chronic Diseases Using Smartphone-Based Digital Phenotyping: Intensive Longitudinal Observational mHealth Substudy Embedded in 2 Prospective Cohorts of Adults.

Previous studies investigating environmental and behavioral drivers of chronic disease have often had limited temporal and spatial data coverage. Smartphone-based digital phenotyping mitigates the limitations of these studies by using intensive data collection schemes that take advantage of the widespread use of smartphones while allowing for less burdensome data collection and longer follow-up periods. In addition, smartphone apps can be programmed to conduct daily or intraday surveys on health behaviors and psychological well-being. The aim of this study was to investigate the feasibility and scalability of embedding smartphone-based digital phenotyping in large epidemiological cohorts by examining participant adherence to a smartphone-based data collection protocol in 2 ongoing nationwide prospective cohort studies. Participants (N=2394) of the Beiwe Substudy of the Nurses' Health Study 3 and Growing Up Today Study were followed over 1 year. During this time, they completed questionnaires every 10 days delivered via the Beiwe smartphone app covering topics such as emotions, stress and enjoyment, physical activity, access to green spaces, pets, diet (vegetables, meats, beverages, nuts and dairy, and fruits), sleep, and sitting. These questionnaires aimed to measure participants' key health behaviors to combine them with objectively assessed high-resolution GPS and accelerometer data provided by participants during the same period. Between July 2021 and June 2023, we received 11.1 TB of GPS and accelerometer data from 2394 participants and 23,682 survey responses. The average follow-up time for each participant was 214 (SD 148) days. During this period, participants provided an average of 14.8 (SD 5.9) valid hours of GPS data and 13.2 (SD 4.8) valid hours of accelerometer data. Using a 10-hour cutoff, we found that 51.46% (1232/2394) and 53.23% (1274/2394) of participants had >50% of valid data collection days for GPS and accelerometer data, respectively. In addition, each participant submitted an average of 10 (SD 11) surveys during the same period, with a mean response rate of 36% across all surveys (SD 17%; median 41%). After initial processing of GPS and accelerometer data, we also found that participants spent an average of 14.6 (SD 7.5) hours per day at home and 1.6 (SD 1.6) hours per day on trips. We also recorded an average of 1046 (SD 1029) steps per day. In this study, smartphone-based digital phenotyping was used to collect intensive longitudinal data on lifestyle and behavioral factors in 2 well-established prospective cohorts. Our assessment of adherence to smartphone-based data collection protocols over 1 year suggests that adherence in our study was either higher or similar to most previous studies with shorter follow-up periods and smaller sample sizes. Our efforts resulted in a large dataset on health behaviors that can be linked to spatial datasets to examine environmental and behavioral drivers of chronic disease.

Spatial patterns and driving factors of plant diversity along the urban-rural gradient in the context of urbanization in Zhengzhou, China.

Plant diversity is the basis for human survival and development, directly affecting the function and stability of urban ecosystems. Its distribution pattern and causes have been a central issue in ecological and landscape gardening research. Rapid urbanization in Zhengzhou City has led to the fragmentation of urban green spaces and damage to ecosystems, seriously affecting urban biodiversity conservation. Understanding the distribution pattern of plant diversity in the region and its relationship with environmental factors is crucial for maintaining and enhancing urban plant diversity. Plant data from 178 sample plots in the built-up area of Zhengzhou City were collected and combined with environmental factors, and the characteristics of plant diversity, richness patterns, and their main environmental explanations in Zhengzhou City were explored. Results showed that there were 596 plant species belonging to 357 genera and 110 families in the study area. There were five dominant families and four dominant genera. Four distinct spatial patterns of plant diversity were identified along the urban-rural gradient. Urbanization factors such as GDP per capita, house prices, and imperviousness within 500 m from the patch significantly influenced plant diversity. There was an imbalance between the spatial pattern of plant diversity and application of urban landscape greening in Zhengzhou City. Future studies should focus on the application of native plants, curb plant homogenization, and reduce anthropogenic interference, which are conducive to protecting and enhancing urban plant diversity. These results can provide a basis for understanding the distribution pattern and influence mechanism of urbanization factors on plant diversity and serve as a reference for policymakers and planners of plant diversity conservation in Zhengzhou City.

Exploring the regional cooling efficiency of urban residential vegetation using scenario simulation

The study of the cooling efficiency of vegetation in urban residential areas at a micro-scale is important for improving the thermal environment of those areas. The quantitative analysis of the effect of the layout of different building patterns on the cooling efficiency of green space is particularly crucial. This study takes a typical residential area with a row-column arrangement in Jiangning District, Nanjing City, Jiangsu Province, China, as the research object. Using the ENVI-MET model used for numerical simulation, 15 simulation scenarios were designed based on building orientation, height, and density. The research proposes the methodology of the regional cooling efficiency (RCE) of urban residential vegetation, reveals the daily variation characteristics of the RCE of vegetation in a residential area, and analyzes the factors influencing of regional cooling efficiency. The results showed that the daily variation in RCE for vegetation in the residential area exhibited a single-peak trend. The minimum and maximum RCE values appeared at 6:00 and 14:00, respectively. The average air temperature and building density in the residential area had a significant positive correlation with RCE, while average relative humidity had a negative correlation. Average wind speed, average building height, and average sky view factor showed nonlinear correlations with RCE, and the importance ranking of each factor's effect on RCE was air temperature > relative humidity > building density > wind speed > building height > sky view factor. This study will provide theoretical support for improving the thermal environment in urban residential areas during the urban planning process.

The impact of urban street green transformation on subjective well-being and evaluation of the location: A case study in Vienna, Austria

Urban green landscapes, such as street- and ground-level greenery, are essential for urban populations, enabling frequent and spontaneous interactions with nature in cities. While many cities have increased their green infrastructure and landscapes, their impact on well-being and environmental evaluations needs to be studied more. In the present study, we conducted a field experiment that directly addressed this aspect. Specifically, on two urban streets in Vienna (Austria), we conducted the same structured field experiment during two different periods, during March and May/June in 2022, resulting in different levels of greenery in two urban streets. We aimed to study if and how varying quantities of greenery in urban street landscapes influence subjective well-being in terms of subjective feelings of stress and affective mood, as well as the restorative potential of the locations. Our results showed that, unlike the often-reported positive impact of urban green spaces, the varying amount of greenery on the streets did not positively affect the well-being or the restorative potential of the locations. The results highlight that simply implementing greenery might not be sufficient to induce positive effects. Instead, more intense and dense greenery would be necessary to achieve the desired outcomes.

Effects of a large-scale bioretention installation on the species composition of an urban bird community as determined by passive acoustic monitoring.

As urbanization accelerates worldwide, municipalities are attempting to construct new green spaces within their borders. The perceived ecological value of these places is frequently tied to their ability to attract urban wildlife, such as birds, which can easily be observed and enjoyed. As one strategy, stormwater is now frequently managed with green infrastructure: planted areas that retain and treat stormwater rather than merely directing it to surface waters. While these practices have the potential to provide habitat for urban wildlife, the ecological effects of these systems are largely unknown. To assess whether one green infrastructure project increases habitat value, we used passive acoustic monitoring to survey urban bird communities in and near a large green infrastructure project in Columbus, Ohio (USA). Bird communities near bioretention cells (rain gardens) were compared to those at nearby lawns and remnant or restored natural areas. We found that recently installed bioretention cells tended to support more omnivores, lower-canopy foraging species, and species from a higher diversity of feeding guilds than did nearby lawn control sites. We were unable to detect effects of nearby bioretention installations on bird species richness at other sites. The observed differences in species richness were fairly small, and we urge caution when anticipating the habitat value of bioretention cells, at least for bird species. However, the results that we observed suggest that bioretention cells could have a more positive impact on bird communities in different contexts or using different design strategies. The bioretention cells surveyed in this study were small and only planted in grasses and forbs, potentially limiting their ability to offer complex habitat. They were also relatively young, and future work is needed to determine their long-term effect on avian communities and biodiversity of other taxa.

Plant diversity value of informal green spaces in tropical coastal urban areas: An empirical study of species, functional, and phylogenetic diversity

Informal green spaces (IGS) are a hot topic in urban biodiversity studies, but overlooked in urban biodiversity conservation or management, especially in tropical coastal cities, where comprehensive assessments remain scarce. Most existing research has been limited to species diversity (α-diversity), with few studies addressing functional and phylogenetic diversity as aspects of α-diversity, and species turnover (β-diversity) across multiple IGS types. This study bridges these gap by conducting a detailed vegetation survey in Jiangdong New Area of Haikou City, establishing 213 sites. Within these sites, we examined 343 IGS sample plots and 274 formal green spaces (FGS) sample plots. We assessed species, functional, and phylogenetic diversity using α and β diversity metrics and analyzed the influence of environmental factors with generalized linear mixed models (GLMMs). The results recorded 235 species of herbaceous plants from 179 genera and 54 families in IGS, including 215 spontaneous species, compared to 154 spontaneous species in FGS. Our findings indicate that IGS exhibited higher species richness and functional richness compared to FGS, though differences in phylogenetic diversity were less pronounced. Key environmental factors like relative humidity, trampling intensity, and proximity to urban areas significantly influenced species richness and abundance in IGS. These findings underscore the critical role of IGS in enhancing biodiversity and resilience in tropical coastal cities, emphasizing the need to integrate IGS into urban planning strategies for sustainable urban ecosystems.

The relationships between 2D and 3D green index altered by spatial attributes at high spatial resolution

Understanding the relationship between 2D and 3D green indices holds significant implications for governance, especially amid the escalating demand for urban green spaces during rapid urbanization. However, the existing studies reveal inconsistent results pertaining to the relationships between 2D and 3D green indices and lack a systematic examination of spatial attributes' influence on the relationships. This study addresses these gaps by 1) assessing the correlation between 2D and 3D green indices using high-resolution data, 2) identifying spatial attributes that alter the 2D-3D association, and 3) determining the thresholds of spatial attributes that significantly impact the 2D-3D relationships. The Moderation Model was initially introduced to evaluate the mechanisms within its respective field. High-resolution data was collected from a campus, focusing on key spatial attributes: tree cover density (TC), plot ratio (PR), and vegetation composition (VC). NDVI and GVI were chosen to represent the 2D and 3D green index. The results indicate a significant correlation between NDVI and GVI (R=0.478, p<0.005). TC was identified as the fundamental moderator of the association. A medium TC (32.46 %) was the threshold for a significant NDVI - GVI correlation. Only at low TC (0–10.82 %), interactive effects between spatial attributes were observed: VC (type (e)) substituted NDVI to affect GVI directly; Above a PR of 1.95, the correlation between NDVI and GVI diminishes. In general, NDVI cannot substitutes GVI in areas where TC is higher than 32.46 %, or in areas where TC is lower than 10.82 % with many tall buildings (higher than 8 floors). The findings innovatively reveal the dynamic variation and thresholds in the 2D-3D green index relationships based on site-specific attributes rather than the resolution of data. Practically, a decision-making tree of green index governance is then proposed for relevant stakeholders to choose according to different site conditions.

Habitat associations of bats in the green spaces of Davao City, Mindanao, Southern Philippines

Habitat associations of bats in the green spaces of Davao City, Mindanao, Southern Philippines

Citizens of the Global South value urban green space: an example from Iran

Citizens of the Global South value urban green space: an example from Iran

Association between greenness exposure and depression rate among Bangkok residents: An ecological longitudinal study

This ecological study aimed to examine the relationship between greenness exposure and depression among Bangkok residents, using the district as a unit of analysis. This study utilized data on depression (ICD-10 F32, F33), environmental parameters, and demographic and health infrastructure variables in 50 districts in Bangkok recorded from 2018 to 2020. The Excellence Center for Depressive Disorder provided information on the number of new depression cases, including only those who had registered permanent residence in Bangkok. Greenness was measured using the normalized difference vegetation index (NDVI), which was extracted from a Terra-MODIS sensor. Then, the association between greenness exposure and depression was evaluated using descriptive statistics, bivariate analysis, and generalized additive mixed models with adjustment for covariates. From 2018 to 2020, a mean of 4.57 ± 6.45 cases was recorded per 100,000 population annually, and the mean NDVI was 0.33 ± 0.09. Adjusted for all covariates, as well as considering the smooth terms basis, an increase in one unit of NDVI value would contribute to depression rate reduction by up to 77.7 % (risk ratio = 0.223, 95 % CI = 0.200 – 0.248). PM2.5 exhibited an insignificant positive association with depression incidence rate. Additionally, temperature and humidity were associated with depression rate in the final model (p < 0.05). Living in greener areas would contribute to a lower depression incidence rate in Bangkok. However, the study is subject to limitations, including the impact of the COVID-19 pandemic, which may have influenced both depression rates and access to green spaces during the study period. Policies that can increase environmental greenness should be promoted to enhance social interactions and physical activities.

Air quality suitability map of Çanakkale urban area (CBS based): ımportance of green spaces

Air quality suitability map of Çanakkale urban area (CBS based): ımportance of green spaces