Types Of Green Space Research Articles

Interplay between greenspace interactions and sense of place in Seoul City

The intricate connection between urban residents and their surrounding greenspaces highlights the multifaceted relationship shaping individuals’ sense of place within urban environment. This study explores the influential relationship between greenspace interactions (GI) and the resultant greenspace sense of place (GSP) while considering four types of greenspaces (GT) as moderators. Employing partial least square-structural equation modeling (PLS-SEM), data was gathered from 400 participants, encompassing different GT within Seoul City, South Korea, to investigate the nuanced associations among psychological, physical, social, and environmental dimensions of GI and their impacts on place attachment (PA), sense of community (SoC), and utilitarian sense of place (USoP) in the GSP framework. Findings confirm a significant relationship between GI and GSP, emphasizing the role of environmental consciousness as a predominant factor influencing individuals’ overall perception on urban nature. Notably, despite conceptual expectations, the study revealed no moderation effect of different GT on the GI-GSP relationship, underscoring the universal relevance of urban greenspaces in fostering residents’ GSP. The result emphasizes the intrinsic value of urban greenspaces in shaping the preference of urban residents regarding urban nature.

Multi-method analysis of urban green space accessibility: Influences of land use, greenery types, and individual characteristics factors

Urban green spaces (UGS) are an important foundation for supporting sustainable urban development and benefiting the well-being of residents. However, access to green spaces is a complex and dynamic process. Existing studies have mainly used a single method to assess UGS accessibility, and research on influencing factors has less focused on a multi-variable perspective. In this study, we innovatively integrated four methods—Container, Distance, Gravity, and 2SFCA—to assess UGS accessibility at the LSOA level in Inner London. We examined the impact of urban land use patterns, green space types, and individual characteristics on UGS accessibility. Then, Spearman's correlation analysis and the Ordinary Least Squares (OLS) regression model were used to check the relationship between multiple variables with UGS accessibility. The main findings are as follows: (1) The UGS accessibility results based on the multi-method reflect the variation in the distribution of UGS in Inner London, with more than 80% of LSOAs having below-average UGS accessibility; (2) UGS accessibility is significantly influenced by multiple factors, particularly race, income, education, crime, office, residential, and non-park (multiple green space types beyond parks). This study highlights inequalities in UGS accessibility and suggests strategies for policymakers to improve the integration of UGS in urban planning.

Associations of street-view greenspace with Parkinson’s disease hospitalizations in an open cohort of elderly US Medicare beneficiaries

IntroductionProtective associations of greenspace with Parkinson’s disease (PD) have been observed in some studies. Visual exposure to greenspace seems to be important for some of the proposed pathways underlying these associations. However, most studies use overhead-view measures (e.g., satellite imagery, land-classification data) that do not capture street-view greenspace and cannot distinguish between specific greenspace types. We aimed to evaluate associations of street-view greenspace measures with hospitalizations with a PD diagnosis code (PD-involved hospitalization). MethodsWe created an open cohort of about 45.6 million Medicare fee-for-service beneficiaries aged 65 + years living in core based statistical areas (i.e. non-rural areas) in the contiguous US (2007–2016). We obtained 350 million Google Street View images across the US and applied deep learning algorithms to identify percentages of specific greenspace features in each image, including trees, grass, and other green features (i.e., plants, flowers, fields). We assessed yearly average street-view greenspace features for each ZIP code. A Cox-equivalent re-parameterized Poisson model adjusted for potential confounders (i.e. age, race/ethnicity, socioeconomic status) was used to evaluate associations with first PD-involved hospitalization. ResultsThere were 506,899 first PD-involved hospitalizations over 254,917,192 person-years of follow-up. We found a hazard ratio (95% confidence interval) of 0.96 (0.95, 0.96) per interquartile range (IQR) increase for trees and a HR of 0.97 (0.96, 0.97) per IQR increase for other green features. In contrast, we found a HR of 1.06 (1.04, 1.07) per IQR increase for grass. Associations of trees were generally stronger for low-income (i.e. Medicaid eligible) individuals, Black individuals, and in areas with a lower median household income and a higher population density. ConclusionIncreasing exposure to trees and other green features may reduce PD-involved hospitalizations, while increasing exposure to grass may increase hospitalizations. The protective associations may be stronger for marginalized individuals and individuals living in densely populated areas.

Above Ground Biomass and Carbon Sequestration of Urban Green Spaces in Danang City, Vietnam

Green space in cities is an essential component of the urban environment. Different forms of urban green spaces, with varying populations, plant communities, and roles, offer varying urban ecological advantages. Using the i-Tree Eco model, this study examined the structural characteristics of urban green trees and calculated the biomass storage capacity and carbon sequestration in urban green spaces in Da Nang City. The results revealed a considerable diversity of species composition among 7,513 trees belonging to 42 species of 20 families studied in four types of green spaces, with Terminalia catappa, Cyrtostachys renda, and Roystonea regia dominating. The average Shannon biodiversity index was 2.9, with the institution having the highest at 2.6 and the park having the lowest at 2.2. The total leaf biomass per hectare was 588.0 kg/ha, and the carbon sequestration rate was 2,845.30 kg/ha. Ficus subpisocarpa was the species with the highest value for these two advantages, and the park was the green space with the highest benefit in terms of biomass and carbon sequestration.

Resident Preferences for Urban Green Spaces in Response to Pandemic Public Health Emergency: A Case Study of Shanghai

The COVID-19 pandemic represents a quintessential public health crisis, profoundly impacting the utilization patterns of urban green spaces through stringent quarantine and lockdown measures. However, existing research inadequately addresses specific concerns regarding future urban green spaces and tends to oversimplify population divisions. This study delves into the needs and preferences of Shanghai residents affected by the pandemic and quarantine measures, focusing on various aspects such as specific types of green spaces, facilities, landscape elements, and landscape and spatial types. Multifactorial population clustering was also performed. This study delineates the following conclusions: (1) It is imperative to afford residents access to green spaces at least once a week, even during quarantine periods. (2) Residents exhibited a preference for accessible green spaces equipped with essential amenities, favoring unobstructed vistas and plant-centric ecological landscapes during the pandemic. Additionally, there is a notable preference for private green spaces among residents. (3) Post-pandemic, the “affluent” group displays a heightened overall demand for green spaces, the “middle-class” group shows a conspicuous inclination towards specific green space landscape elements, while the “low-income” group consistently exhibits a low preference for green spaces during and after the pandemic. This study underscores the necessity of developing human-centric green spaces to promote equity and resilience in the face of future emergencies, rooted in residents’ preferences amidst public health crises.

Modeling the Economic Value of Green Spaces in Residential Areas of Dar Es Salaam City, Tanzania

The economic value of green spaces in residential areas has been advocated to raise the land and property values. However, the establishment of the economic value of green spaces need many data such that it is costly and needs expertise. The objective of this study was to develop a user-friendly mathematical model that employ few data to determine the economic value of green spaces in residential areas in Dar es Salaam City. The study was cross sectional and employed structured questionnaires as a data collection method. Linear regression model was developed by relating economic values of green spaces to various environmental and socio-economic conditions of households. The study revealed that the net economic value of home greenery was significantly influenced by income of the households, area covered, age of the respondents and green space type. The average net benefit calculated from the model (1,317USD per household per year) was not far from the normal arithmetic mean calculated through traditional methods (1,369USD per household per year). This implies that the model can best predict the overall mean of the net benefit by 96.2%. It is therefore, recommended that the model can be used to estimate the economic value of ecosystem services from home greenery, property value and can guide the establishment of compensation for households due to green space availability.

Attraction and Retention Green Place Images of Taipei City

This study investigates levels of green place image and their association with different types of greenspace by examining residents’ perceptions of urban greenspaces. Place image refers to an individual’s comprehensive perception of a location, formed through various interactions, and it encompasses two distinct aspects: attraction and retention. The former can be established without extensive interaction, while the latter requires deeper physical and psychological connections, such as a sense of place (SOP) and place identity (PI). Although much research on urban greenspaces has concentrated on the retention aspect, focusing on residents’ psychological, physical, social, and environmental engagements, the attraction dimension, including place brand (PB), visual image (VI), and place reputation (PR), has been less explored. This study collected data from 536 on-site surveys across four types of urban greenspaces in Taipei city: small-size greenspaces, neighborhood parks, multipurpose parks, and green corridors, and they were analyzed through factor analysis (FA) and multivariate analysis of variance (MANOVA) using R software (R-4.3.3). The FA identifies two factors and their significant sub-attributes aligning with theoretical findings, i.e., attraction and retention. Further analysis using MANOVA determines that the multipurpose park is the most influential type of greenspace, significantly affecting urban residents’ development of positive green place images. These findings highlight the importance of perceiving urban greenspaces as critical areas for multi-dimensional stakeholders, suggesting a balanced approach to development and management that emphasizes both attraction and retention strategies as well as nature and built facilities.

Examining the scale effect of nearby residential green space on residents’ BMI: A case study of Guangzhou, China

Green spaces are closely related to the quality of the urban environment and public health. However, studies have rarely paid attention to nearby residential green space which is more closely connected to residents’ daily lives. Does nearby residential green space have a scale effect on the body mass index (BMI) of residents? What type of green space has a more significant effect? Does this effect differ for residents living in central urban areas and suburban areas? To answer these questions, this study first measured three scales of nearby residential green space accessibility of 1398 samples of 18 neighborhoods’ survey data in Guangzhou, China, combined with the application of the TIQS (Travel O-D point Intelligent Query System). And then, multilevel mixed-effects models were developed to examine the scale effect of nearby residential green space accessibility on residents’ BMI. The results show that nearby residential green space has a scale effect on individual BMI and the effect of the 10-minute walking scale is the most significant. Within a 10-minute walking distance from the residence, the larger the green space and the more accessible it is, the lower the individual’s BMI. Parks are the green spaces that are most correlated to residents’ BMI, but their effect is somewhat different between the central urban areas and suburban areas. These findings give us a better understanding of the association between nearby residential green space and public health, as well as providing implications for the improvement of the urban green space system and policy development for healthy cities.

Comparison of Different Green Space Measures and Their Impact on Dementia Cases in South Korea: A Spatial Panel Analysis

Dementia has become a profound public health problem due to the number of patients increasing every year. Previous studies have reported that environmental factors, including greenness, may influence the development and progression of dementia. Studies have found that exposure to green space is associated with a lower incidence of dementia. However, many definitions of green space exist, and the effects of its use may differ with the type of green space. Therefore, two types of green space measures were considered in this study to assess the differences in their impact on the prevalence of dementia among females and males. This study used five years of data (2017–2021) from 235 districts in South Korea. The two green space measures used were open space density and normalized difference vegetation index (NDVI), which were derived from satellite images. The analysis utilized a combination of traditional and spatial panel analyses to account for the spatial and temporal effects of independent variables on dementia prevalence. The spatial autocorrelation results revealed that both measures of greenness were spatially correlated with dementia prevalence. The spatial panel regression results revealed a significant positive association between NDVI and dementia prevalence, and open space had a negative association with dementia prevalence in both genders. The difference in the findings can serve as the basis for further research when choosing a greenspace measure, as it affects the analysis results, depending on the objective of the study. This study adds to the knowledge regarding improving dementia studies and the application of spatial panel analysis in epidemiological studies.

Examining regulating ecosystem service provision by brownfield and park typologies and their urban distribution

Environmental hazards including air pollution, heat waves, and flooding are pressing issues in cities. In response, many cities are pledging to increase green infrastructure, adopting nature-based solutions for enhancing resilience through ecosystem service provision. At the same time, urban densification is increasingly considered necessary to limit urban sprawl, where redevelopment of brownfield is often promoted as an alternative to development of greenbelt land. Consequently, while the drive to install additional green infrastructure is intensifying, the synchronous loss of brownfield vegetation may result in unintentional net losses. It is therefore essential to evaluate brownfield’s contribution to ecosystem service provision. Here we present a comparative analysis of the regulating ecosystem services provided by brownfield and park trees in Greater Manchester, UK. Parks were selected as a comparator as they represent the most abundant and widely distributed types of open green space, and typically contain a high proportion of trees. Ecosystem service provision was evaluated across statistically defined typologies of twenty-six brownfield and twelve park types (varying in terms of landscape metrics, land, and canopy cover) using i-Tree Canopy. In terms of carbon storage brownfield (3194 ha) provided an estimated 52,765 t of carbon storage and annual carbon sequestration of 2101 t/y, for parks (4128 ha), 143,064 t of carbon storage, carbon sequestration of 5696 t/y. Annual air pollution removal is estimated at 313 t/y of air pollution removal for brownfields, and 849 t/y for parks. Avoided surface water runoff is estimated at 135,018 m3/y for brownfields and 366,280 m3/y for parks. In densely built areas, brownfields provided approximately five times more regulating ecosystem services than parks, and several types of vegetated brownfield provided more regulating ecosystem services than many types of park. We conclude that brownfield is an important component of green infrastructure, where this knowledge is critical to inform planning and management, prevent loss of ecosystem services, and identify where strategic greening of brownfield may address inequities in existing green infrastructure.

Carbon Sequestration in the Green Open Spaces along Primary Road of Pontianak City, West Kalimantan, Indonesia`

Global climate change caused by greenhouse gas (GHG) emissions is currently a focus for various countries worldwide, including Indonesia. Carbon dioxide (CO2) is the main source of emissions, with a significant portion originating in urban areas. This is due to the high levels of air pollution from motor vehicles and rapid industrial growth. Urban green spaces are areas within cities that consist of non-built-up spaces filled with naturally grown or cultivated vegetation. These green spaces exist directly alongside the transportation infrastructure, which helps reduce air pollution, especially CO2, through the vegetation that makes up these areas. One type of urban green space is a green corridor, which forms elongated paths or areas. This study assessed the carbon sequestration of 17 primary road networks in Pontianak City using three allometric models. Plot positions for data collection were determined using purposive sampling, with each side accounting for 5% of the total zigzag plots. This research focused on vegetation at different growth stages, such as saplings, poles, and trees. The results were estimated at 256.86 tons ha-1 (Hardiansyah and Ridwan formula), 269.96 tons ha-1 (Chave formula), and 193 tons ha-1 (Brown formula).

Urban greenspace for social integration: Which types of greenspace do new-Swedes prefer and why?

Urban greenspace (UGS) is a key public resource offering a broad range of nature-based solutions and is increasingly looked to as a potential arena to promote social integration in Europe’s increasingly multicultural urban and peri-urban areas. However, relatively little research has explored the preferences and perceptions of immigrants in relation to UGS, especially in European contexts. Without such knowledge, planners risk entrenching planning structures that inadvertently result in segregation and environmental injustice. Using survey and participatory mapping methods with 261 immigrants in eight sampled settlements across Sweden, this study explores which types of UGS foreign-born immigrants in Sweden (i.e., new-Swedes) prefer and why. We found that new-Swedes are frequent users of a wide spectrum of UGS types, with the most preferred types including forests, large parks and lakes. The majority of respondents were satisfied with the quality (73%), availability (68%) and accessibility (76%) of UGS in their hometowns. Our regression analysis identified 51 key factors that had a meaningful effect on preferences for different types of UGS. Key factors were distributed relatively evenly across blocks of predictor variables concerning characteristics of UGS, socio-demographic factors, activity preferences, and perceptions. Our results indicate that new-Swedes’ UGS preferences are broadly comparable with those of the general population in Sweden. We found little evidence to suggest that ethnocultural factors played a major role in the preferences of our respondents. Furthermore, our results suggest that nature-connectedness might be an important determinant of new-Swedes’ UGS preferences. Based on these findings, we highlight several opportunities to further develop UGS strategies to support different dimensions of social integration, e.g., using popular UGS as interactive spaces for cultural learning, as a platform for intercultural contacts and for maintaining cultural traditions, and to contribute towards a greater sense of social membership in their new country. A crucial implication of our study is that the use of UGS to support social integration may further contribute to the increasing complexity of the UGS planning and management challenge. This implies the need for a systems perspective in UGS research, policy-making, planning and management to consider UGS as part of an integrated urban social-ecological system and to coordinate measures across sectors.

Neglected puzzle pieces of urban green infrastructure: richness, cover, and composition of insect-pollinated plants in traffic-related green spaces

ContextIn cities, insect-pollinated vascular plants enhance environmental quality, support pollinators, and provide essential ecosystem services for citizens. However, floral communities associated with traffic-related green spaces are rarely considered valuable elements of urban green infrastructure (UGI).ObjectivesThe main objective of this work was to assess if traffic-related green spaces in Finland possess species-rich floral communities and can assist urban ecological restoration—converting degraded areas into functionally diverse ecosystems. Thus, we evaluated richness, cover, and community composition of insect-pollinated plants (emphasizing flowering ones) on traffic islands, parking lots, and road verges.MethodsThe assessment was performed during the mean flowering phenophase of insect-pollinated plants in the European boreal zone (July and August) using a standard quadrat (1 m2) placement method. We studied plants in urban and suburban locations of three highly populated (> 170 000 inhabitants) Finnish cities—Helsinki, Tampere, and Turku. There were 90 sampling sites with 15 replicates per location type in each city and five measurement replicates per green space (habitat) type. The species richness, cover, and composition were assessed in relation to location, habitat type, city, the average daily traffic (ADT), and distance to the road.ResultsUrban locations had lower total plant species richness and fewer indicator species (characterized only by a single indicator species) compared to suburban locations (characterized by five indicator species). Species richness of plants flowering during the time of the survey did not differ among locations. Traffic islands were richer habitats for flowering plants than road verges but did not differ from parking lots. Total vegetation cover and cover of insect-pollinated flowering plants increased with an increasing distance from the road. Vegetation cover differed among habitats being higher on road verges than on traffic islands irrespective of ADT. In all habitat types, the two most common flowering species were yarrow Achillea millefolium and autumn hawkbit Leontodon autumnalis which occurred at 70.2% and 67.8% of the sampling sites, respectively. However, the mean cover of the ten most common flowering species (when present) was low and varied between 1.5 and 9.5% per m2.ConclusionsSimilar richness of flowering plants (but not total plant species) in urban and suburban locations might indicate equal importance of ecosystem services provided by flowering plants in cities irrespective of location. Because traffic islands and parking lots contain rich plant communities, they should be better integrated into UGI and valued by city planners. Management intensity in terms of grass cuts should be ecologically justified. An increase in the number of insect-pollinated plant species in urban traffic-related green spaces might help to improve environmental quality in cities in terms of increasing pollinator biodiversity and reducing pollution.

Flourishing or Frightening? Feelings about Natural and Built Green Spaces in Singapore.

The current study's aim was to better understand people's feelings towards different types of natural and built green space environments in the highly urbanized "garden city" of Singapore. We examined which types of green spaces elicited positive (eudemonic) or negative (apprehensive) affective responses. A total of 288 adult residents of Singapore completed a survey that asked them to report their affective states in response to images of 10 locally different environment types and to complete measures of childhood location, frequency of visiting natural/built environments, nature connectedness, and dispositional anxiety, as well as demographic items on age and gender. The 10 green space environment types were mapped onto an experiential state space representing feelings of apprehension and eudemonia in response to specific types of urban green spaces. In terms of a biophilic response, feelings of eudemonia were no different in natural green spaces compared to built green spaces. A higher frequency of experience in specific environments is associated with enhanced feelings of eudemonia in these environments. The findings indicate that people in Singapore can be apprehensive as much in natural green spaces as in built green spaces, and they can also find eudemonic experiences in built green spaces such as roof-top gardens or town parks.

The effect of visibility on green space recovery, perception and preference

Urban green space serves as an important restorative environment for alleviating the physiological and psychological stress of residents, results which are primarily achieved through visual perception. However, air pollution results in decreased visibility, affects visual perception, and thus redues the positive effects of the experience of using the green space environment.There is a limited number of related studies. Therefore, based on the Stress Reduction Theory (SRT), this study constructed 12 groups of green space environments with different degrees of visibility and compared the physiological (SCL, α-EEG / β-EEG) and psychological (TMD) restorative effects of the participants in different environments by using photo elicitation. Combined with the perception and preference of green space, the impact of air pollution on the restoration received from the environment was explored. The results show that: (1) Visibility and green space type can affect the level of green space recovery. When the visibility is poor, the semi-open and semi-closed green spaces resulted in the best recovery; (2) When the visibility is reduced, the participants' perception of the eight types of Perceived Sensory Dimensions (PSDs) is generally reduced, and the type of green space is related to the perception of air quality; (3) As visibility decreased, participants' preference for green spaces significantly decreased; and (4) Visibility will affect green space perception and preference, thus affecting its recovery. This study provides a basis and reference for the design and construction of a higher quality restorative green space environment to effectively account for air pollution problems.

Current methodologies of greenspace exposure and mental health research-a scoping review.

Greenspaces can provide an important resource for human mental health. A growing body of literature investigates the interaction and the influence of diverse greenspace exposures. In order to gain a comprehensive understanding of the complex connection between greenspace and mental health, a variety of perspectives and methodological combinations are needed. The aim of this review is to assess the current methodologies researching greenspace and mental health. A scoping review was conducted. Four electronic databases (Pubmed, Embase, PsycInfo, Web of Science) were searched for relevant studies. A wide range of greenspace and mental health keywords were included to provide a comprehensive representation of the body of research. Relevant information on publication characteristics, types of greenspaces, mental health outcomes, and measurements of greenspace exposure and mental health was extracted and assessed. 338 studies were included. The included studies encompassed a multitude of methods, as well as outcomes for both greenspace and mental health. 28 combinations were found between seven categories each for greenspace and mental health assessment. Some pairings such as geoinformation systems for greenspace assessment and questionnaires investigating mental health were used much more frequently than others, implying possible research gaps. Furthermore, we identified problems and inconsistences in reporting of greenspace types and mental health outcomes. The identified methodological variety is a potential for researching the complex connections between greenspace and mental health. Commonly used combinations can provide important insights. However, future research needs to emphasize other perspectives in order to understand how to create living environments with mental health benefits. For this purpose, interdisciplinary research is necessary.

Carbon storage estimation and strategy optimization under low carbon objectives for urban attached green spaces

In the context of rapid urbanization, scarce land resources have highlighted the importance of attached green spaces (AGS), which have received limited attention despite their critical importance in the urban carbon cycle. Analyzing the differences in carbon storage of different AGS types and proposing different optimization strategies can provide a reference for urban managers to scientifically enhance the carbon sinks of greenfield. This study estimated the carbon storage of AGS in central Shanghai using a series of detailed field survey data and remote sensing data. The results showed that AGS stored 296 Gg (1Gg = 109 g) of carbon, accounting for 56 % of the total carbon storage in all urban green spaces. While carbon density in AGS is lower than that in other green space types due to the dominance of small trees, simple vegetation structures and poor maintenance in some areas. Significant differences in carbon storage capacity were also found among different types of AGS, related to individual vegetation attributes and vegetation structure. Our findings emphasized that optimal design strategies should be different for various green space types, and proposed corresponding optimization strategies for different AGS types. Furthermore, the dual role of multi-layered planting structures in carbon sinks and biodiversity was also emphasized.

Comparison of the CASA and InVEST models’ effects for estimating spatiotemporal differences in carbon storage of green spaces in megacities

Urban green space is a direct way to improve the carbon sink capacity of urban ecosystems. The carbon storage assessment of megacity green spaces is of great significance to the service function of urban ecosystems and the management of urban carbon zoning in the future. Based on multi-period remote sensing image data, this paper used the CASA model and the InVEST model to analyze the spatio-temporal variation and driving mechanism of carbon storage in Shenzhen green space and discussed the applicability of the two models to the estimation of carbon storage in urban green space. The research results showed that, from 2008 to 2022, in addition to the rapid expansion of construction land, the area of green space and other land types in Shenzhen showed a significant decrease trend. The estimation results of the carbon storage model showed that the carbon storage of green space shows a significant trend of reduction from 2008 to 2022, and the reduction amounts are 0.8 × 106 t (CASA model) and 0.64 × 106 t (InVEST model), respectively. The evaluation results of the model show that, in megacities, the spatial applicability of InVEST model is lower than that of CASA model, and the CASA model is more accurate in estimating the carbon storage of urban green space. The research results can provide a scientific basis for the assessment of the carbon sink capacity of megacity ecosystems with the goal of "dual carbon".

The use of Enhanced Vegetation Index for assessing access to different types of green space in epidemiological studies

BackgroundExposure to green space can protect against poor health through a variety of mechanisms. However, there is heterogeneity in methodological approaches to exposure assessments which makes creating effective policy recommendations challenging.ObjectiveCritically evaluate the use of a satellite-derived exposure metric, the Enhanced Vegetation Index (EVI), for assessing access to different types of green space in epidemiological studies.MethodsWe used Landsat 5–8 (30 m resolution) to calculate average EVI for a 300 m radius surrounding 1.4 million households in Wales, UK for 2018. We calculated two additional measures using topographic vector data to represent access to green spaces within 300 m of household locations. The two topographic vector-based measures were total green space area stratified by type and average private garden size. We used linear regression models to test whether EVI could discriminate between publicly accessible and private green space and Pearson correlation to test associations between EVI and green space types.ResultsMean EVI for a 300 m radius surrounding households in Wales was 0.28 (IQR = 0.12). Total green space area and average private garden size were significantly positively associated with corresponding EVI measures (β = < 0.0001, 95% CI: 0.0000, 0.0000; β = 0.0001, 95% CI: 0.0001, 0.0001 respectively). In urban areas, as average garden size increases by 1 m2, EVI increases by 0.0002. Therefore, in urban areas, to see a 0.1 unit increase in EVI index score, garden size would need to increase by 500 m2. The very small β values represent no ‘measurable real-world’ associations. When stratified by type, we observed no strong associations between greenspace and EVI.ImpactIt is a widely implemented assumption in epidiological studies that an increase in EVI is equivalent to an increase in greenness and/or green space.We used linear regression models to test associations between EVI and potential sources of green reflectance at a neighbourhood level using satellite imagery from 2018.We compared EVI measures with a ‘gold standard’ vector-based dataset that defines publicly accessible and private green spaces.We found that EVI should be interpreted with care as a greater EVI score does not necessarily mean greater access to publicly available green spaces in the hyperlocal environment.

Estimating aboveground volume of diverse urban tree species: Developing allometric equations for higher taxonomic levels

Allometric equations are essential for quantifying carbon storage in trees; however, owing to the high species diversity in urban green spaces, the development of allometric equations for all urban tree species is not feasible. In this study, we estimated the aboveground volume of urban trees and determined the fitness of several allometric equations. We compared the equations for different taxonomic levels, i.e., division, family, and species. A field survey was conducted across three types of urban green spaces (street trees, parks, and residential gardens) in three cities (Seoul, Goyang, and Wonju) in South Korea. We estimated the aboveground volumes of 1080 trees from their diameter measurements using a laser dendrometer, carried out at successive points from the ground to the top of the trees. Various tree size metrics, such as the diameter at breast height (DBH), height, and/or crown diameter, were applied as independent variable(s) in the equations. For gymnosperm trees, the allometric equations for higher taxonomic levels (RMSE: 0.011 m3) yielded goodness-of-fits similar to those at the species level (RMSE: 0.009 m3). For angiosperm trees, the family-level allometric equations satisfactorily covered the inter-species heterogeneity of tree shape, whereas the division-level allometric equations did not. The scaling exponent coefficients of allometric equations for each family (b = 1.65−2.69) linearly increased with an increasing mean height-to-DBH ratio. Although the allometric equations based on crown diameter were more unstable than those based on the DBH, integrating the height variable into the equations could ensure the feasibility of the allometric equations based on crown diameter. Our study facilitates the development of nationally specific emission factors for settlement areas and suggests the applicability of generalized or crown-based allometric equations for urban trees.