RETRACTED: A GIS-based gradient analysis of urban landscape pattern of Shanghai metropolitan area, China

Zhang, Liquan; Wu, Jianping; Yu, Zhen; Shu, Jiong

doi:10.1016/j.landurbplan.2003.08.006

Cited by 112 publications

(86 citation statements)

References 52 publications

(45 reference statements)

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“…Previous studies propose landscape metrics to detect spatial patterns caused by urbanization (Luck and Wu, 2002;Verburg et al, 2004;Zhang et al, 2004Zhang et al, , 2007. In the present study, the choice of variables, the procedure for the construction of indicators, and the identification of the thematic dimensions adequate to assess landscape characteristics (e.g.…”

Section: Spatial Analysismentioning

confidence: 92%

“…through land-use policies) influence the way in which local decision-making processes modulate forms and socioeconomic structures of large urban regions (Krueger and Savage, 2007). Physical, ecological and socioeconomic processes create, maintain and destroy spatial patterns and, at the same time, spatial patterns facilitate, inhibit, or neutralize these processes (Zhang et al, 2004). Urbanization is a striking form of irreversible land transformation affecting landscapes as well as people who live in and around cities (Luck and Wu, 2002;Aguilera et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…The competitiveness of urban regions can be lowered by unsustainable land management strategies because the potentialities of development can be deeply altered by ignoring potential conflicts in the use of land. Urban systems should be therefore studied as integrated landscapes in which context and spatial relations are important as both entities and processes (Zhang et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

“…Urban planning and decision-making for sustainable development urgently need high-resolution data to establish the relationship between the socioeconomic performances of urban systems and their environmental impacts (Pauleit and Duhme, 2000;Zhang et al, 2004). Rome is a Mediterranean city with a fairly increasing population and a tertiaryoriented economy (Mudu, 2006;Munafò et al, 2010) experiencing, especially in the last years, low-density expansion at the fringe.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Land-Use Structure and Urbanization-Driven Land Fragmentation: Revisiting the Monocentric Model in a Sprawling Region

Ranalli¹,

Salvati²

2015

ESR&P

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Section: Spatial Analysismentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Land-Use Structure and Urbanization-Driven Land Fragmentation: Revisiting the Monocentric Model in a Sprawling Region

Ranalli¹,

Salvati²

2015

ESR&P

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“…In the light of such complexity, the analysis of spatio-temporal and morpho-functional dynamics of landscape gradients should be supported by efficient and objective quantitative approaches based on methods aimed at the modelling of spatial data. Gradient analysis and landscape pattern analysis seem appropriate for such studies (Luck and Wu, 2002;Zhang et al, 2004). One effective method for representing and analysing landscape gradients is using Kernel Density Estimation (KDE) techniques applied on inten-…”

Section: Introductionmentioning

confidence: 99%

Urban-rural gradient detection using multivariate spatial analysis and landscape metrics

Vizzari¹,

Sigura²

2013

J Agricult Engineer

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The gradient approach allows for an innovative representation of landscape composition and configuration not presupposing spatial discontinuities typical of the conventional methods of analysis. Also the urban-rural dichotomy can be better understood through a continuous landscape gradient whose characterization changes accordingly to natural and anthropic variables taken into account and to the spatio-temporal scale adopted for the study. The research was aimed at the analysis of an urban-rural gradient within a study area located in central Italy, using spatial indicators associated with urbanization, agriculture and natural elements. A multivariate spatial analysis (MSA) of such indicators enabled the identification of urban, agricultural and natural dominated areas, as well as specific landscape transitions where the most relevant relationships between agriculture and other landscape components were detected. Landscapes derived from MSA were studied by a set of key landscape pattern metrics within a framework oriented to the structural characterization of the whole urban-rural gradient. The results showed two distinct sub-gradients: one urban-agricultural and one agricultural-natural, both characterized by different fringe areas. This application highlighted how the proposed methodology can represent a reliable approach supporting modern landscape planning and management.

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Spatial–temporal evolution and correlation analysis between habitat quality and landscape patterns based on land use change in Shaanxi Province, China

Gu,

Yan,

et al. 2023

Ecology and Evolution

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Regional habitat quality is an important reflection of ecosystem services and ecosystem health. Exploring the characteristics of habitat quality changes and revealing the vulnerability of regional ecosystems caused could provide reference for the improvement of ecological service functions and the protection of regional ecological environment. Based on remote sensing data of Shaanxi Province from 2000 to 2015, InVEST model and grid analysis were used to analyze the evolution characteristics of habitat quality and landscape pattern, and spatial autocorrelation was also used to analyze the spatial correlation and temporal evolution characteristics. The results showed: (1) Arable land, grassland, and forest land were the main landscape types in Shaanxi province, accounting for more than 94% of the total area, and the arable land and unused land showed a decreasing trend, while the grassland and forest land showed an increasing trend, and the proportion of construction land continued to increase with the rapid economic development from 2000 to 2015; (2) The spatial distribution characteristics of habitat quality was similar to land use cover change, which was “high in the southern and central forest areas, low in the northern sandy land and central urban agglomeration”, and habitat quality value showed a steady increase, indicating that the habitat quality was getting better; (3) The landscape pattern index values of Guanzhong Plain urban agglomeration changed significantly, which tended to be fragmented, and the landscape types were more diverse and uniform; (4) There were obvious spatial correlation between habitat quality and landscape pattern, and the spatial differentiation of clustering was obvious, and the clustering effect of habitat quality and landscape pattern characteristics would weaken with the increase in urbanization degree. The analysis of the spatial association between habitat quality and landscape pattern could provide scientific support for ecological protection and landscape planning.

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RETRACTED: A GIS-based gradient analysis of urban landscape pattern of Shanghai metropolitan area, China

Cited by 112 publications

References 52 publications

Land-Use Structure and Urbanization-Driven Land Fragmentation: Revisiting the Monocentric Model in a Sprawling Region

Land-Use Structure and Urbanization-Driven Land Fragmentation: Revisiting the Monocentric Model in a Sprawling Region

Urban-rural gradient detection using multivariate spatial analysis and landscape metrics

Spatial–temporal evolution and correlation analysis between habitat quality and landscape patterns based on land use change in Shaanxi Province, China

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