Establishing coordinated development index of urbanization based on multi-source data: A case study of Guangdong-Hong Kong-Macao Greater Bay Area, China

Song, Chuncheng; Sun, Caige; Xu, Jianhui; Fan, Fenglei

doi:10.1016/j.ecolind.2022.109030

Cited by 22 publications

(10 citation statements)

References 48 publications

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“…Additionally, some scholars determine ecological sources from a graph theory perspective or based on specific ecological indicators, such as the Morphological Spatial Pattern Analysis (MSPA) approach, ecosystem services [25], and landscape connectivity [12]. Research indicates that combining landscape connectivity as a source selection index with the MSPA method can improve the accuracy, rationality, and objectivity of selecting ecological sources, suitable for highly urbanized areas with severe landscape fragmentation [26]. The ecological resistance surface is a quantitative measure used to assess the level of spatial resistance encountered by ecological elements during movement [27].…”

Section: Introductionmentioning

confidence: 99%

Stability of Regional Ecological Supply–Demand Is Enhanced by Complex Network Modeling: Evidence From the Xuzhou Metropolitan Area, China

Li,

Chang,

Wang

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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In the era of urbanization, the imperative to safeguard ecological security and navigate towards sustainable development is paramount. The emergence of remote sensing technologies has unveiled a nuanced approach to understanding and refining regional ecological networks, which are crucial for achieving these objectives. However, in constructing regional ecological networks, the spatial integration of ecological supply and demand frequently goes unaddressed. The balance of supply and demand for ecosystem services is a complex challenge. Additionally, there is an absence of comprehensive effectiveness assessment for regional ecological networks constructed based on element evaluation. To address these challenges, this study focuses on the highly urbanized Xuzhou Metropolitan Area(XMA) in eastern China, utilizing remote sensing data to develop an ecological network focused on balancing ecological supply and demand. The study adeptly applies complex network theory to model the ecological network, analyzing its structure and function to propose thorough and specific optimization strategies. The results indicate that the ecological network in the XMA encompasses 20 ecological supply sources, 21 demand sources, and various corridors and nodes, displaying a "dense in the center, sparse on the periphery" spider web-like distribution. Post-optimization, the network integrates further stepping stones and corridors, evolving into a denser and more intricate structure. The study emphasizes the significance of constructing regional ecological networks based on ecological supply and demand, aiding the balance of ecosystem services in urbanized areas. It highlights the transformative potential of complex network models in ecological network optimization, facilitating effective ecosystem management and spatial planning.

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Section: Introductionmentioning

confidence: 99%

Stability of Regional Ecological Supply–Demand Is Enhanced by Complex Network Modeling: Evidence From the Xuzhou Metropolitan Area, China

Li,

Chang,

Wang

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…Guangdong Province, located in the northern part of the South China Sea, is China's largest economic province and one of the largest manufacturing bases worldwide [20,21]. The Guangdong-Hong Kong-Macao Greater Bay Area (GBA), the fourth largest bay area in the world, is located in the middle of the GD coast and by estuaries of the Pearl River Delta (PRD) [22,23]. In addition, as the province possessing the longest coastline in China, GD supports distinctive tropical marine ecosystems such as coral reefs, sea grass, and mangroves.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Distribution Characteristics and Influencing Factors of Dissolved Potentially Toxic Elements along Guangdong Coastal Water, South China

Kang,

Chen,

et al. 2024

JMSE

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In this study, five potentially toxic elements (PTEs) (Hg, Pb, As, Zn, and Cu) and five physicochemical factors (pH, dissolved oxygen, salinity, chlorophyll a, and chemical oxygen demand) relating to surface seawater were measured along the coast of Guangdong Province (GD), China, during three seasons in 2019. Comprehensive analyses were conducted to explore the distribution characteristics, pollution degrees, and influencing factors of PTE. The results showed that the concentrations of PTE varied spatially and seasonally due to these elements’ complex sources and behaviors. Pb was the most abundant toxic element, reaching considerable contamination levels. Overall, the average pollution degrees of Cu, As, and Zn were higher around the east coast of GD, while Hg and Pb levels were higher in the west coast region of GD. The correlation analysis showed that the variation of different physicochemical parameters had different degrees of influence on PTE transport and transformation. This study can help environmental managers gain deeper insight into the influence of complex factors on PTE and improve the efficiency of pollution control in this significant subtropical coastal area.

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“…Researchers have used ESDA to analyze the spatial and temporal evolution of carbon emissions from different perspectives [ 10 ]. Song used spatial autocorrelation to show that there is significant variability in the carbon intensity of the building sector in the East and West regions of China [ 11 ]. Liu found that the spatial distribution of carbon emissions is uneven due to differences in economic growth [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal evolution and gravity center change of carbon emissions in the Guangdong-Hong Kong-Macao greater bay area and the influencing factors

Wang

et al. 2023

Heliyon

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Establishing coordinated development index of urbanization based on multi-source data: A case study of Guangdong-Hong Kong-Macao Greater Bay Area, China

Cited by 22 publications

References 48 publications

Stability of Regional Ecological Supply–Demand Is Enhanced by Complex Network Modeling: Evidence From the Xuzhou Metropolitan Area, China

Stability of Regional Ecological Supply–Demand Is Enhanced by Complex Network Modeling: Evidence From the Xuzhou Metropolitan Area, China

Spatiotemporal Distribution Characteristics and Influencing Factors of Dissolved Potentially Toxic Elements along Guangdong Coastal Water, South China

Spatio-temporal evolution and gravity center change of carbon emissions in the Guangdong-Hong Kong-Macao greater bay area and the influencing factors

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