Urban Green Infrastructure: Enhancing Resilience and Well-Being in the Face of Climate Change and Urbanization

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Urban Contexts and Urban-Rural Interactions".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 3279

Special Issue Editors


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Guest Editor
1. School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China
2. State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
Interests: urban ecology; urban climatology; ecosystem services; urban green infrastructure; remote sensing; land use change
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State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
Interests: land use and land cover change; regional climate modeling; biophysical climate feedbacks

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Guest Editor
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Interests: remote sensing; GIS; coastal zone; coastal cities; ecosystem services
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Institute of Agricultural Information and Economics, Shandong Academy of Agricultural Sciences, Jinan 250100, China
Interests: remote sensing; landscape ecology; human settlement environment

Special Issue Information

Dear Colleagues,

Under the context of global climate change and rapid urbanization, cities are facing plenty of serious social and environmental problems, such as urban heat island, air pollution, flooding, and so on.  It is projected that more people will live in urban areas in the future, therefore having to bear these negative effects caused by the transformation of natural land. Fortunately, urban green infrastructure has proven to provide countless ecosystem services that benefit the whole city, including storm reduction, climate regulation, environment depuration, and the enhancement of biodiversity conservation. Furthermore, urban green infrastructures are usually good sites for outdoor activities, thereby producing greater social capital. However, there still exists huge gaps in our current knowledge regarding the supply and demand of ecosystem services provided by urban green space. As a result, a deeper and better understanding of the relationships between urban green infrastructure and human beings continues to be crucial for urban sustainable development.

The goal of this Special Issue is to collect papers (original research articles and review papers) concerning how urban green infrastructure can increase urban resilience and produce positive effects on the well-being and quality of life for people living in urban settings. It is well known that, as land resources in the urban area, urban green infrastructure is always recognized as a key component of urban planning. Therefore, how to make the most of limited open space for future urban green space planning or renewal is of vital importance with respect to their huge potential social, ecological, health, and economic values.

This Special Issue will welcome manuscripts that link the following themes:

  • Applications of new sensors /technology (e.g., high-resolution remote sensing data, LiDAR, deep learning) for urban green space detection and monitoring;
  • Spatio–temporal analysis for urban green infrastructure;
  • Characterizing the refined 3D features of urban green space;
  • Physical influencing mechanism of urban green space on the urban thermal environment;
  • Exploring the relationships between urban green infrastructure and human wellbeing;
  • Assessing the ecosystem services provided by urban green space;
  • Potential nature-based solutions (NBS) to regulate urban climate based on urban green infrastructure.

We look forward to receiving your original research articles and reviews.

Dr. Chaobin Yang
Dr. Lingxue Yu
Dr. Fengqin Yan
Dr. Dongrui Han
Guest Editors

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Keywords

  • urbanization
  • urban green space
  • urban forests/parks
  • urban heat island
  • urban ecosystem services
  • urban ecology
  • urban remote sensing
  • urban planning
  • urban climate
  • sustainable development

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Published Papers (4 papers)

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Research

20 pages, 6544 KiB  
Article
Scale-Dependent Effects of Urban Canopy Cover, Canopy Volume, and Impervious Surfaces on Near-Surface Air Temperature in a Mid-Sized City
by Carson Ralls, Anne Y. Polyakov and Vivek Shandas
Land 2024, 13(11), 1741; https://doi.org/10.3390/land13111741 - 23 Oct 2024
Viewed by 552
Abstract
Cities are significantly warmer than their surrounding rural environments. Known as the ‘urban heat island effect’, it can affect the health of urban residents and lead to increased energy use, public health impacts, and damage to infrastructure. Although this effect is extensively researched, [...] Read more.
Cities are significantly warmer than their surrounding rural environments. Known as the ‘urban heat island effect’, it can affect the health of urban residents and lead to increased energy use, public health impacts, and damage to infrastructure. Although this effect is extensively researched, less is known about how landscape characteristics within cities affect local temperature variation. This study examined how tree canopy cover, canopy volume, and impervious surface cover affect daytime near-surface air temperature, and how these effects vary between different scales of analysis (10, 30, 60, 90 m radii), ranging from approximate street corridor to city block size. Temperature data were obtained from a car-mounted sensor, with traverse data points recorded during morning, afternoon, and evening times, plotted throughout the city of Portland, OR. The variability in near-surface air temperature was over 10° F during each traverse period. The results indicate that near-surface air temperature increased linearly with impervious surface cover and decreased linearly with tree canopy cover, with canopy volume reducing the temperature by 1° F for every 500 cubic feet of canopy volume for evening temperatures. The magnitude of the effect of tree canopy increased with spatial scale, with 60 and 90 m scales having the greatest measurable effect. Canopy volume had a positive relationship on presumed nighttime and early-morning temperatures at 60 and 90 m scales, potentially due to the impacts of wind fluctuation and air roughness. Canopy cover still contributed the largest overall decrease in street-scale temperatures. Increasing tree canopy cover and volume effectively explained the lower daytime and evening temperatures, while reducing impervious surface cover remains critical for reducing morning and presumed nighttime urban heat. The results may inform strategies for urban foresters and planners in managing urban land cover and tree planting patterns to build increased resiliency towards moderating urban temperature under warming climate conditions. Full article
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17 pages, 11060 KiB  
Article
The Assessment of Land Suitability for Urban Expansion and Renewal for Coastal Urban Agglomerations: A Pilot Study of the Guangdong-Hong Kong-Macao Greater Bay Area
by Tingting Pan, Fengqin Yan, Fenzhen Su and Liang Xu
Land 2024, 13(11), 1729; https://doi.org/10.3390/land13111729 - 22 Oct 2024
Viewed by 567
Abstract
Effectively and rationally allocating land resources, while coordinating urban expansion with internal renewal strategies, is crucial for achieving high-quality regional development in coastal urban agglomerations. Land-use suitability assessment (LSA) is a key method for coastal land-use planning, but it is primarily used to [...] Read more.
Effectively and rationally allocating land resources, while coordinating urban expansion with internal renewal strategies, is crucial for achieving high-quality regional development in coastal urban agglomerations. Land-use suitability assessment (LSA) is a key method for coastal land-use planning, but it is primarily used to delineate ecological redlines or areas for urban expansion, often overlooking the spatial analysis needed for urban renewal. This is particularly critical in coastal urban agglomerations facing land scarcity and ecological fragility. Here, we combined land use and the Analytical Hierarchical Process (to consider stakeholder priorities) in a Minimum cumulative resistance model (MCRM) to determine suitable coastal urban growth and renewal based on a suite of 12 indicators relevant to development intensity and stock space. Application to the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) indicates a dominance of the Ecological Buffer Zone (70.5%), and the available stock space in the GBA comprises only 9.2% of the total area. Our modeling framework tailored different development strategies for different cities: Huizhou and Zhaoqing had space for urban expansion to varying degrees, while other cities were found to be suitable for urban renewal due to low stock space and high development intensity. Our modeling approach, incorporating stakeholder input and objective evaluation of geographic land-use information, can assist planners in improving ecological security while promoting high-quality developments in coastal areas. Full article
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22 pages, 25663 KiB  
Article
Trade-Off and Coordination between Development and Ecological Protection of Urban Agglomerations along Rivers: A Case Study of Urban Agglomerations in the Shandong Section of the Lower Yellow River
by Anbei Liu, Tingting Yan, Shengxiang Shi, Weijun Zhao, Sihang Ke and Fangshu Zhang
Land 2024, 13(9), 1368; https://doi.org/10.3390/land13091368 - 26 Aug 2024
Viewed by 592
Abstract
Urban development of clusters situated along rivers significantly affects the health of the river ecosystems, the quality of urban environments, and the overall well-being of local communities. Ecosystem service supply value (ESSV) measures the delivery of ecosystem goods and services within a specific [...] Read more.
Urban development of clusters situated along rivers significantly affects the health of the river ecosystems, the quality of urban environments, and the overall well-being of local communities. Ecosystem service supply value (ESSV) measures the delivery of ecosystem goods and services within a specific timeframe in a particular area. Using the lower Yellow River urban agglomeration (Shandong section) as a case, we comprehensively applied land use structure and intensity change analysis, quantitative calculation of ESS, and geographical probe methods to unveil ESS and its mechanism of response to the spatio-temporal evolution of the intensity of land use in urban agglomeration along the river. The key results were as follows: (1) Over the past two decades, farmland and construction land areas have continued to decrease and increase, respectively, with the intensity of land use change being highest from 2005 to 2010. (2) ESS has continued to rise over the past 20 years, with the income in 2020 being 11.142 billion yuan, an increase of 31.13%. The “low-value areas” are mainly concentrated in Liaocheng City, Dezhou City, and Tai’an City, which are characterized by predominantly flat terrains where farmland constitutes the principal land use type. Conversely, “high-value areas” are largely in the counties bordering the Yellow River, including the upper estuary in the north and the rugged, southeastern terrains. (3) Areas with concentrated ESSV were primarily localized in the northern estuary area and along the Yellow River in a scattered point-like pattern. The spatial distribution of hotspots has become increasingly concentrated, transitioning from points to planes. Conversely, cold spots initially increased in number before subsequently decreasing. Waterbody was the most sensitive ESSV-determining factor. (4) The spatial heterogeneity of ESSV emerges as a consequence of the interaction of multiple factors, and among these interactions, those involving NDVI and POP contain the greatest explanatory power. Our findings are expected to offer a scientific foundation for optimizing land spatial patterns and enhancing ecological management in the lower Yellow River region. Full article
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16 pages, 6300 KiB  
Article
Ecological Risk Assessment of Saltwater Intrusion and Urban Ecosystem Management in Shenzhen City
by Rencai Dong, Yue Cai, Xueye Chen, Cunjin Wang and Anxin Lian
Land 2024, 13(9), 1338; https://doi.org/10.3390/land13091338 - 23 Aug 2024
Cited by 1 | Viewed by 808
Abstract
With continued sea level rise and over-exploitation, saline water extends farther inland, causing changes in soil salinity and water quality and leading to permanent land salinization and ecosystem damage. Saltwater intrusion (SWI), causing numerous ecosystem problems and disasters, brings risk to urban ecosystems [...] Read more.
With continued sea level rise and over-exploitation, saline water extends farther inland, causing changes in soil salinity and water quality and leading to permanent land salinization and ecosystem damage. Saltwater intrusion (SWI), causing numerous ecosystem problems and disasters, brings risk to urban ecosystems in coastal cities. Ecological risk, in the Greater Bay Area in China, should be assessed based on the effect of SWI status on ecosystem health. In this study, we built a new ecological risk-assessment model based on the geographic information system (GIS) technique and spatial data. At the conceptual level, four main stressors were identified based on literature reading and fieldwork. Four stress factors (SFs) were thoroughly investigated, namely, SF1: the intensity gradient immersed in saltwater; SF2: the mountain phreatic water supply; SF3: the salinity tolerance of urban greenbelt vegetation; and SF4: the supply capacity of irrigation water to suppress saline water. After a comprehensive evaluation using GIS and the analytic hierarchy process (AHP), we mapped and assessed the ecological risk level of the urban greenbelt for the SWI. Our results showed that the area of urban green space affected by the SWI was approximately 49.31 km2, almost 12.05%. Ecological risk was sorted into five ranks: (1) very low risk 47.53%, (2) low risk 26.29%, (3) medium risk 22.92%, (4) high risk 2.45%, and (5) very high risk (0.8%). The ecological infrastructure of sponges should include freshwater conservation in coastal cities, and more attention should be paid to fresh groundwater discharge from coastal ecosystems in Shenzhen. Full article
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