Scale effects in urban neighborhood green space carbon sequestration: Linking equity and quality

To understand the development progress and relevant Frontier research of urban green space carbon sequestration, based on the core databases such as Web of Science, CiteSpace software, and bibliometric analysis methods were used to analyze the research status. The results showed that the number of papers on urban green space carbon sequestration research was on the rise. China and the United States had closer cooperation from the perspective of international cooperation institutions. Peking University, the Chinese Academy of Sciences, and the US Forest Service made the greatest contributions to this research field. Analyzing the keywords and the literature co-citation map, it was inferred that the hot keywords of future urban green space carbon sequestration research include carbon sequestration, ecosystem services, and climate change. It was found that carbon sequestration of urban green space ecosystems research primarily focuses on the correlation between urban green space and ecosystem services, and UGS carbon sequestration accounting and urban green space management. Finally, two perspectives were proposed: 1) Urban green spaces diversified ecological benefits are achieved through the function of carbon sequestration, and 2) Urban green space carbon sequestration accounting and urban green space management promote the development of urban green space. An overview of the international progress and basic state of urban green spaces and carbon sequestration theme research is presented in this paper, Additionally, it provides valuable references for future research and helps gain a comprehensive understanding of this field of research.

Rapid urbanization has altered the land use pattern, reducing urban green space and increasing carbon emissions, and it is critical to scientifically examine the interaction mechanism between green space and carbon emissions in order to drive low-carbon urban development. Using Nanjing as an example, this study examined the spatiotemporal evolution characteristics of urban green space patterns and carbon emissions between 2000 and 2020. Carbon emissions at the city and county levels were estimated with great precision using a gray BP neural network model and a downscaling decomposition method. Using urban green space landscape pattern indices and geographic detectors, significant driving factors were discovered and their impact on carbon emissions examined. The results show the following: (1) Carbon emissions are mostly influenced by socioeconomic factors, and the gray BP neural network model (R2 = 0.9619, MAPE = 1.68%) can predict outcomes accurately. (2) Between 2000 and 2020, Nanjing’s overall carbon emissions increased by 118.9%, demonstrating a “core–periphery” pattern of spatial divergence, with significant emissions from industrial districts and emission reductions in the central urban region. (3) The urban green space exhibits “quantity decreasing and quality increasing” characteristics, with the total area falling by 4.84% but the structure optimized to form a networked pattern with huge ecological patches as the backbone. (4) The primary drivers are the LPI, COHESION, and AI. This study reveals the complex relationship mechanism between the spatial configuration of urban green space and carbon emissions and, based on the results, proposes a green space optimization framework with three dimensions, protection of core ecological patches, enhancement of connectivity through ecological corridors, and implementation of low-carbon maintenance measures, which will provide a scientific basis for the planning of urban green space and the construction of low-carbon cities in the Yangtze River Delta region.

Discussion on the construction of disaster prevention green infrastructure network planning

Global climate change and rapid urbanization have placed enormous pressure on the urban ecological environment worldwide. Urban green spaces, which are an important component of urban ecosystems, can maintain ecological and environmental sustainability and benefits, including biodiversity conservation and carbon sequestration. However, land use changes across urban landscapes, especially in plain urban areas with high development pressure, have significantly impacted the carbon sequestration efficiency of urban green spaces. Nevertheless, research examining the impact of land use change and development pressure on urban green spaces and carbon sequestration is relatively scarce. Understanding the carbon sequestration efficiency of urban green spaces and its determining factors will help predict future carbon capture trends within urban ecosystems and formulate more targeted sustainable urban planning and management strategies to improve urban carbon sink efficiency and achieve the goal of carbon neutrality. Therefore, to understand the factors affecting the carbon sequestration efficiency of urban green spaces, this paper used an integrated framework that combined the Carnegie–Ames–Stanford approach (CASA) model, landscape pattern index, multiple linear regression, and Markov–FLUS model. The study explored the impact of urban land use and land cover changes on carbon sequestration within the plain urban areas of Beijing at street scale. The results showed that, at street scale, there was a significant positive and negative correlation between the landscape pattern index and net primary productivity (NPP). In addition, the green spaces located in areas with more complex landscape structures had better carbon sequestration benefits. In addition, multiscenario carbon sequestration efficiency prediction suggested that the sustainable development (SD) scenario could achieve a positive increment of overall NPP. In contrast, the business-as-usual development (BD), the fast development (FD), and the low development (LD) scenarios showed a downward trend in NPP. This paper also proposed strategies for optimizing and enhancing green spaces within urban plain areas. Based on the strategies, the results guide decision making for sustainable urban green space planning that maintains the ecological, economic, and social integrity of urban landscapes during urbanization.

The arid zone of northwestern China is a critical ecological functional area, where terrestrial ecosystems are extremely fragile and difficult to restore once degraded, with significant implications for the regional carbon balance. Urban green spaces play an essential role in carbon sequestration and air purification, making them important carbon sink carriers in arid environments. Taking Lanzhou City as a case study, this research analyzes the carbon sink capacity of cropland, woodland, grassland, wetland, park green space, and other urban green land types from 2000 to 2020, and explores the main factors influencing their evolution. The findings indicate that: (1) Lanzhou's green space was primarily composed of cropland and grassland. However, due to urbanization and the city’s unique valley-type topography, construction land expanded while cropland and grassland areas declined; (2) The total carbon sink decreased from 361,000 tons in 2000 to 354,100 tons in 2020. Nevertheless, the economic value of carbon sinks continued to increase due to the annual rise in carbon prices. Cropland remained the largest contributor to urban green space carbon sinks; and (3) In 2020, land use intensity had a negative effect on carbon sinks, with an impact significantly greater than that of industrial structure or economic development. This study provides a scientific basis for improving urban green space management and enhancing carbon sink capacity in arid urban regions, thereby supporting regional ecological security and sustainable development.

Urbanization has significantly altered urban landscape patterns, leading to a continuous reduction in the proportion of green spaces. As critical carbon sinks in urban carbon cycles, urban green spaces play an indispensable role in mitigating climate change. This study aims to evaluate the carbon capture and storage potential of urban green spaces in Luohe, China, and identify the landscape factors influencing carbon sequestration. The research combines on-site data collection with high-resolution remote sensing, utilizing the i-Tree Eco model to estimate carbon sequestration rates across areas with varying levels of greenery. The study reveals that the carbon sequestration capacity of urban green spaces in Luohe City is 1.30 t·C·ha−1·yr−1. Among various vegetation indices, the Enhanced Vegetation Index (EVI) explains urban green space carbon sequestration most effectively through an exponential model (R2 = 0.65, AIC = 136.5). At the city-wide scale, areas with higher greening rates, better connectivity, and more complex edge morphology exhibit superior carbon sequestration efficiency. The explanatory power of key landscape indices on carbon sequestration is 78% across the study area, with variations of 71.5%, 62%, and 84.9% for low, medium, and high greening rate areas, respectively. Moreover, when greening rates reach a certain threshold, maintaining and optimizing the quality of existing green spaces becomes more critical than simply expanding the green area. These insights provide valuable guidance for urban planners and policymakers on enhancing the ecological functions of urban green spaces during urban development.

Nature-based solutions for urban landscapes under post-industrialization and globalization: Barcelona versus Shanghai

Urban areas and green spaces are significant atmospheric carbon sources and sinks. Spatial planning is crucial for improving the urban carbon budget. However, there are many uncertainties due to the diversity and complexity of the effects of urban and green space forms on the carbon budget. As a result, the role of urban areas and green spaces in emission reduction and carbon sink increases remains ambiguous. We use a landscape sustainability framework and systematically review the literature from 2002 to 2022 to elucidate the interaction between urban and green space forms and the carbon budget. We focus on regional and landscape scales. Nine landscape planning indicators affecting urban area carbon emissions, four indicators affecting green space carbon sinks, and three indicators affecting the urban–green space ecotonal relationship and the carbon budget are derived. We analyze the causes of the differences between the studies and discuss the influences of the indicators on emission reduction, carbon sink increases, and sustainable development. We summarize the design and research of urban and green spaces and the urban–green space ecotone and provide suggestions for carbon emission reduction, carbon sink increases, and research directions for future studies.

Quantifying emotional differences in urban green spaces extracted from photos on social networking sites: A study of 34 parks in three cities in northern China

To date, photosynthesis by plant communities remains a widely applicable and feasible carbon sequestration method that helps offset some unavoidable greenhouse gas emissions. However, most research on this nature-based climate solution focuses on natural green spaces rather than urban green infrastructure. Further, large-scale and longitudinal studies are lacking, especially outside temperate regions. This research aims to study how environmental stress caused by the urban environment affects the carbon sequestration capacity of urban green spaces, contributing to a more thorough estimation of the carbon budget in the inventory reports and enlightening better design and management plans for enhancing the capacity, as a path to carbon neutral in the climate action plans. The research utilizes the classic CASA model to calculate Singapore's net primary production (NPP) with cloud-free mosaic Sentinel data from 2021 to 2024 to face cloud coverage challenges. Propensity score matching based on canopy height and soil type matches urban green spaces within 800 meters from their boundaries with green spaces further away with less intervention, and the research calculates their difference in NPP, reflecting the anthropogenic impact. The results show that the duration of shading by buildings, the density of surrounding residential units, restaurants, food centers, and power plants, proximity to roads and waterbodies, percentage of surrounding impervious land, mean land surface temperature around, and traffic flow can explain 68% of the difference between actual and potential carbon sequestration. The duration of shading is the most evident anthropogenic factor, which decreases urban green infrastructure's carbon sequestration capacity, followed by surrounding land surface temperature. The research provides quantitative evidence of anthropogenic impacts on urban NPP in tropical cities with causal inference. Combined with further microclimate and plant species studies, the research would offer detailed planning and design strategies to relieve anthropogenic stress and increase carbon sequestration for urban green spaces.

Urban green open space is areas in a city or town filled with vegetation to support socio-ecological functions. These areas have increasingly threatened as a result of being converted to urban infrastructures. As an essential feature of city infrastructure, urban green space should be monitored according to the spatial plan of the city area. However, the space that has been assigned to the urban green space is not a match for its current use. One of the problems that caused urban green space usage mismatch is difficulties in identifying urban green space changes. Planetscope satellite imagery is a high-resolution satellite image that can be used to identify open green spaces in urban areas. In this research, we used an artificial intelligence method to develop a pixel classification process for accurate and efficient identification of the green open space. The results showed that Planetscope satellite imagery and artificial intelligence methods had 99% accuracy in monitoring green open spaces. The use of this technology can assist in the early detection of green open space changes effectively and efficiently.

Residents’ preferences and use of urban and peri-urban green spaces in a Swiss mountainous region of the Southern Alps

The significance of biodiversity in the survival of human beings and enhancing the urban quality of life is evident from the empirical measurements and qualitative studies carried out across the globe. Despite its importance and value, burgeoning population and growing urbanization are posing a serious threat to biodiversity leading to biodiversity homogenization and ecosystem fragmentation. Moreover, studies reveal that management practices of biodiversity hardly take into account perception, needs, and knowledge of urban residents regarding biodiversity. Urban green spaces have a major role to play in the conservation of urban biodiversity. However, the triangular relationship between biodiversity, urban green spaces, and public perception is still unexplored. With this aim, the paper attempts to compile, analyze, and synthesize the empirical findings to understand the state-of-the-art knowledge regarding public perception of biodiversity in urban green spaces. The search strategy acquired for the selection of papers resulted in 43 papers from 22 different countries of the world. The paper focuses upon an inclusive definition of urban green spaces, thus encompasses a wide variety of urban and peri-urban green spaces, parks, gardens, and waterfront urban spaces. The analysis of literature pattern reveals a recent increase in studies related to biodiversity perception over the last 10 years. It indicates a strong geographic bias in publications as well. Studies of animals including birds, insects, and reptiles are found scarce compared to plant species. The study could identify potential variables affecting human biodiversity perception which include species literacy, visitation rate, preferences, recreational, health, and restorative benefits, vegetation characteristics, nature connectedness, and conservation support. The paper also proposes a framework for understanding biodiversity perception in urban green spaces that can assist in improving our understanding of the relationship between human interactions and natural environments and framing strategies for urban development, landscape planning, and community health promotions.

Effects of artificial night lighting on a web-building spider species in urban green spaces

IntroductionWith the rapid growth of urbanization globally and in the UK, increasing attention is now being directed towards urban green spaces (UGS). The appeal of UGS to policymakers lies in their capacity to address multiple policy objectives, including improving physical and mental wellbeing, mitigating noncommunicable diseases (NCDs), combating climate change through carbon sequestration, providing climate adaptation measures, and enhancing biodiversity.MethodThis narrative review gives an overview of the current literature and UK policy relating to urban green and blue spaces, with a particular focus on the use of UGS to increase physical activity levels.ResultsUGS have a profound impact on public health, with evidence indicating their positive effect on both physical and psychological health. Thirty‐eight percent of adults in the UK do not live within 15 minutes of UGS, so policy makers at national and international level are aiming to address this gap. One reason for the health benefits of UGS is associated increased physical activity, a vital component needed to address the burden of non‐communicable disease. To effectively harness UGS to promote physical activity various factors must be considered; proximity and diversity of urban green spaces, and the presence of suitable infrastructure features. Tailoring UGS to meet the needs and preferences of different population demographics is essential, as is ensuring safety, and addressing barriers to access particularly for lower socio‐economic groups. The careful planning of UGS must avoid potential gentrification effects and displacement of vulnerable communities, whilst utilising the equigenic nature of UGS.ConclusionsTo create a brighter future and capitalize on the potential of UGS, a collaborative approach is needed, involving communities, local governments, and national authorities. Primary‐care professionals, represented by organizations like the Royal College of General Practitioners (RCGP), can play a crucial role in advocating for UGS and physical activity, promoting their use, and providing guidance and support.