Peri-urbanization may vary with vegetation restoration: A large scale regional analysis

Fu, Wei; Lü, Yihe; Harris, Paul; Comber, Alexis; Wu, Lianhai

doi:10.1016/j.ufug.2017.11.006

Cited by 37 publications

(20 citation statements)

References 51 publications

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“…Though the assumption for LSAA-TC may hold for the majority of cases, it can still be challenged by the fact that vegetation could also be affected by microclimatic factors [58], or conversely, large-scale restoration programs [59]. Nevertheless, as long as the microclimatic factors are stable over a period of years, their impact on vegetation will not be detected in the result of the H-CUG.…”

Section: Advantage and Rationality Of Lsaa-tcmentioning

confidence: 99%

Mapping the Changes in Urban Greenness Based on Localized Spatial Association Analysis under Temporal Context Using MODIS Data

Sha

Ali

Wang

et al. 2018

IJGI

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Vegetation plays an irreplaceable role for urban ecosystem services. Urban greenness represents all vegetation cover in and around cities. Understanding spatiotemporal patterns of the changes in urban greenness (CUG) provides fundamental clues for urban planning. The impact on CUG can be roughly categorized as being climate-induced and human-induced. Methods for mapping human-induced CUG (H-CUG) are rare. In this paper, a new framework, known as Localized Spatial Association Analysis under Temporal Context (LSAA-TC), was proposed to explore H-CUG. Localized spatial association analysis (LSAA) was performed first to extract local spatial outliers (LSOs), or locations that differ significantly in urban greenness from those located in the neighborhood. LSOs were then analyzed under the temporal context to map their intertemporal variations known as spatiotemporal outliers. We applied LSAA-TC to mapping H-CUG in the Wuhan Metropolitan Area, China during 2000–2015 using the vegetation index from Moderate-resolution Imaging Spectroradiometer (MODIS) 13Q1 as the proxy for urban greenness. The computed H-CUG demonstrated apparent spatiotemporal patterns. The result is consistent with the fact that the traditional downtown area presents the lowest H-CUG, while it is found that the peripheral area in the circular belt within 14–20 km from the urban center demonstrates the most significant H-CUG. We conclude that LSAA-TC can be a widely applicable framework to understand H-CUG patterns and is a promising tool for informative urban planning.

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Section: Advantage and Rationality Of Lsaa-tcmentioning

confidence: 99%

Mapping the Changes in Urban Greenness Based on Localized Spatial Association Analysis under Temporal Context Using MODIS Data

Sha

Ali

Wang

et al. 2018

IJGI

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“…Urban peripheral areas frequently experience urban expansion or green space planning initially; however, restored forests or grasslands may become occupied and become an obstruction to the process of urbanization [50]. Increases in low-density land use and even vacant lands occur in the newly expanded regions, which emphasizes the urgent need for smart growth strategies to improve land use efficiency [44].…”

Section: Effective Strategies For Sustainability In Urban Developmentmentioning

confidence: 99%

“…The vegetation loss in the peripheral areas also weakens the provision of ecosystem services. As a result, peripheral areas as well as urban core areas, which are crucial for the sustainability of urban development, should be considered in future urban planning and its implementation [50].…”

Section: Effective Strategies For Sustainability In Urban Developmentmentioning

confidence: 99%

Using Vegetation Indices to Characterize Vegetation Cover Change in the Urban Areas of Southern China

Wang

et al. 2020

Sustainability

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Vegetation is essential for the provision of ecosystem services. To ensure that ecosystem services are provided, urban planning must consider vegetation cover in both urban core areas and in peripheral areas. This study explored changes in vegetation cover in both urban core and peripheral areas (buffers of 5, 10 and 15 km from the urban core areas) and the relationships between these changes and urban development. To compare the differences in vegetation cover between the urban core and peripheral areas, we developed two vegetation indices, the vegetation influence strength index (VISI) and the vegetation restoration index (VRI), using normalized difference vegetation index datasets and nighttime stable light data from 50 cities in southern China. Using these two indices, we clustered the cities into four types based on their vegetation cover characteristics. The city types varied among the different regions of the study area and cities of the same type tended to occur together geographically. In addition, the two indices showed temporal changes during the study period: A downtrend from 1992 to 2000, an uptrend from 2000 to 2005, and stability from 2005 to 2013. Furthermore, in all cities, the range of the VISI was larger in the peripheral areas than in the urban core areas. However, the range of the VRI was smaller in the peripheral areas than in the urban core areas. As the distance to the urban core areas increased, the fluctuation range of both the VISI and VRI decreased, suggesting that there was less vegetation disturbance farther from the urban core areas. We also showed that changes in vegetation cover were related to differences in urbanization rates, gross domestic products, population densities, and stages of urban development among the cities. These results provide scientific support for urban planning and sustainable development in rapid urbanization areas.

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“…Global consumption trends break new records and are significantly correlated to the decadence of urban infrastructure (Kundu, 2011). Urban disaster-borne risk abatement pursuits include peri-urbanization, sustainable buildings and infrastructure, and low carbon urbanization (Fu, Lü, Harris, Comber, & Wu, 2018;Green, Sterner, & Wagner, 2014;Horne & Fudge, 2014;Pearce & Ahn, 2017).…”

Section: Financing For Disaster-resilient Infrastructurementioning

confidence: 99%

Urban Climate-Proof Finance for Disaster-Resilient Infrastructure

Sen

Ongsakul²

2018

Environment and Urbanization ASIA

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Issues on competitiveness and sustainability frame the configuration of urbanization in Asia Pacific. The unpredictability and intermittency of extreme climate and weather events exacerbate the economic, societal and environmental sustainability of urban habitats. This exigency configures this article on the need to review the climate-proof finance for disaster-resilient infrastructure. Climate-change-triggered migration is rapidly growing, particularly in Asia. This article uses the complexity and sustainability viable systems model (VSM) to gauge the multiplicity of parameters on vulnerability of disaster-prone infrastructure. The assurance on sustainability while maintaining competitiveness is corroborated with the tenets of VSM utilizing the top-down-bottom-up alignment of disaster-proof financing. Outcomes of this article articulate the equilibrium between competitiveness and sustainability, as economic considerations outweigh the need for disaster-proof financing of infrastructure. Keywords Climate proofing, disaster resilience, complexity and sustainability viable systems model, top-downbottom-up assessment of urban infrastructure This article aims to research the assurance on sustainability while maintaining competitiveness with respect to urban climate-proof finance for disaster-resilient infrastructure. There is sparse evidence on top-down and bottom-up alignment of disaster-proof financing, in the extant literature. This emerges as a researchable gap to contribute to the conversation on environment and urbanization with a focus on Asia. Economic inequity in urban areas is a cognizable predicament that impacts competitiveness and sustainability. Such concerns precipitate issues on urban insecurity, safety-led anxiety and gender issues (Jones, 2005). Urban clutter exacerbates environmental degradation, water clogging and flooding. Such occurrences are largely attributable to the undeterred geographical expansion of a city (Douglass, 2010).

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Peri-urbanization may vary with vegetation restoration: A large scale regional analysis

Cited by 37 publications

References 51 publications

Mapping the Changes in Urban Greenness Based on Localized Spatial Association Analysis under Temporal Context Using MODIS Data

Mapping the Changes in Urban Greenness Based on Localized Spatial Association Analysis under Temporal Context Using MODIS Data

Using Vegetation Indices to Characterize Vegetation Cover Change in the Urban Areas of Southern China

Urban Climate-Proof Finance for Disaster-Resilient Infrastructure

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