Spatiotemporal dynamic simulation of land-use and landscape-pattern in the Pearl River Delta, China

Jiao, Mengyu; Mengmeng, Hu; Xia, Beicheng

doi:10.1016/j.scs.2019.101581

Cited by 84 publications

(65 citation statements)

References 34 publications

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“…Many previous studies have mostly carried out macroscopic qualitative analysis from the perspective of the impact of land use change on landscape pattern in rapidly urbanized areas, and have found that in these regions, green space and water area are transformed into construction land, which is prone to form extremely scattered landscapes, but the extent of such impact has not been quantified [31][32][33]. Most of the research lacks conjecture verification and two-step coupling quantitative analysis and evaluation [34,35], or just start from a single aspect of urban green space or blue space, where static studies are conducted on social attributes of space such as public health welfare [36], social equity [37,38], physical attributes such as urban flood [39,40], urban landscape [41,42], and other aspects such as economic development [43].…”

Section: Introductionmentioning

confidence: 99%

Interaction Analysis of Urban Blue-Green Space and Built-Up Area Based on Coupling Model—A Case Study of Wuhan Central City

Wu¹,

Shen²,

Zhang³

2020

Water

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Urban “blue-green” space is the basic element of urban natural ecological space. The rapid urbanization process has a significant impact on the pattern of urban blue-green space and seriously threatens the urban ecological environment. It is of great significance for urban ecological protection and sustainable development to study the change in characteristics of blue and green space during urban expansion. In this paper, a comprehensive method of remote sensing image, landscape pattern analysis, sector analysis, and coupling analysis is applied to analyze the spatio-temporal evolution characteristics and coordinated development level of the blue-green space and built-up area in central Wuhan from 1987 to 2018. The results showed that the land use and landscape pattern in the central city of Wuhan underwent a drastic change process, and the dominant change was the occupation of blue-green space by urban built-up areas, which led to the increase of landscape fragmentation and the decrease of heterogeneity. Urban green space is gradually marginalized and concentrated in local areas. The blue space has an obvious blocking effect on the expansion of the built-up area, and its spatial pattern tends to be stable gradually. In addition, the coupling degree between urban blue-green space and urban built area presents an inverted U-shape, and the coordinated development level among the three has entered a stage of moderate imbalance. It is urgent to strengthen the protection of blue-green space, curb the disorderly expansion of cities, and improve the quality of urban development.

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Section: Introductionmentioning

confidence: 99%

Interaction Analysis of Urban Blue-Green Space and Built-Up Area Based on Coupling Model—A Case Study of Wuhan Central City

Wu¹,

Shen²,

Zhang³

2020

Water

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“…Urban land occupied 2.73% of the YRMRM, which was less than the 8.03% in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA), the most highly developed urban agglomeration in China [36,37]. The rate of urban expansion in the YRMRM was about 250 km 2 /a from 2000 to 2015 and slightly slower than that of the Yangtze River Delta (YRD) (260 km 2 /a) [38].…”

Section: Urban Development Pattern In the Yangtze River Middle Reachementioning

confidence: 99%

Spatio-Temporal Evolution of Urban Morphology in the Yangtze River Middle Reaches Megalopolis, China

Zheng

Zhang

Shen³

et al. 2020

Sustainability

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The Yangtze River Middle Reaches Megalopolis (YRMRM) is the primary urban cluster in central China, which is of vital ecological and economic importance over the Yangtze River basin. To fill the gap on updated evidence needed to support sustainable spatial planning and development in the YRMRM, we systematically characterise its urban spatial patterns and analyse their changes from 2000 to 2015 from two levels. At the regional level, landscape indices are used to depict urban morphology from four aspects, including fragmentation, complexity, contiguity and dispersion. At the local level, spatial autocorrelation analysis is conducted to detect whether the urban morphological patterns, as described by the four landscape indices, are clustered locally. The results showed an increasingly accelerated urban expansion in the YRMRM (approximately 250 km−2/a), contributed mainly by agricultural land conversion (60–80%, depending on subdivisions). An uneven spatial development pattern is identified in the three key metropolitan areas in the YRMRM. The Wuhan Metropolitan Area develops in a continuous and less fragmented fashion, with increased shape complexity and local dispersion. The spatial pattern of the Changsha-Zhuzhou-Xiangtan Metropolitan Area seems to be increasingly fragmented, complex and dispersed. The spatial development pattern in the Poyang Lake Metropolitan Area is overall continuous with an increasingly complex shape and severe local dispersion. Using landscape indices as indicators of sustainability, we discuss the potential environmental and climatic challenges in the YRMRM and the three metropolitan areas. Our results could help to raise awareness and concern for well-targeted management and planning in specific areas.

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“…However, irrational urbanization also wcauses environmental and ecological problems, including excessive carbon emissions, habitat loss, urban heat island effects, and heavy metal pollution of the soil [9][10][11][12][13][14][15], as well as the decreases in the quality of life for residents (e.g., slumification) [16]. In extreme circumstances, rapid urbanization can destroy the original landscape patterns and result in a fragile region and the loss of permanent cropland [17,18]. In this context, capturing the spatiotemporal characteristics of land use change and exploring determinants can provide crucial information to help city planners and managers design a sustainable urban growth policy, optimize landscape patterns, and conserve the ecological environment.…”

Section: Introductionmentioning

confidence: 99%

A Spatiotemporal Analysis of the Effects of Urbanization’s Socio-Economic Factors on Landscape Patterns Considering Operational Scales

Liu

Chen

et al. 2020

Sustainability

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Landscape patterns are significantly affected during the urbanization process. Identifying the spatiotemporal impacts of urbanization’s socio-economic factors on landscape patterns is very important and can provide scientific evidence to support urban ecological management and guide managers to establish appropriate sustainability policies. This article applies multiscale geographically weighted regression (MGWR) to reveal the relationships between landscape patterns and the socio-economic factors of urbanization in Shenzhen, China, from 2000 to 2015, in five-year intervals. MGWR is a powerful extension of geographically weighted regression (GWR) that can not only reveal spatial heterogeneity patterns but also measure the operational scale of covariates. The empirical results indicate that MGWR is superior to GWR. Furthermore, the changes in operational scale represented by the spatial bandwidth of MGWR in different years reflect temporal changes in the spatial relationships of given factors, which is significant information for urban studies. These multiscale relationships between landscape patterns and the socio-economic factors of urbanization, revealed via MGWR, are useful for strategic planning around urban dynamic development and land resource and ecological landscape management. The results can provide additional insight into landscape and urbanization studies from a multiscale perspective, which is important for local, regional, and global urban planning.

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Spatiotemporal dynamic simulation of land-use and landscape-pattern in the Pearl River Delta, China

Cited by 84 publications

References 34 publications

Interaction Analysis of Urban Blue-Green Space and Built-Up Area Based on Coupling Model—A Case Study of Wuhan Central City

Interaction Analysis of Urban Blue-Green Space and Built-Up Area Based on Coupling Model—A Case Study of Wuhan Central City

Spatio-Temporal Evolution of Urban Morphology in the Yangtze River Middle Reaches Megalopolis, China

A Spatiotemporal Analysis of the Effects of Urbanization’s Socio-Economic Factors on Landscape Patterns Considering Operational Scales

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