How does urbanisation affect the evolution of territorial space composite function?

Hu, Qiyu; Shen, Wencang

doi:10.1016/j.apgeog.2023.102976

Cited by 11 publications

(2 citation statements)

References 79 publications

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“…In contrast to the declining trend of GPP in the main city zone and the metropolitan area of the provincial capital city, the mountainous cities around MYRYU have a significant trend of GPP growth and land urbanization has a positive impact on GPP in some mountainous areas. This is similar to the findings of several studies (Asif and Almagul, 2022;Hu et al, 2023;Liu et al, 2023). We suggest that this is related to the implementation of tightened and sustainable environmental regulations, urban planning and ecological engineering policies in the Yangtze River Basin in China in recent years.…”

Section: Driving Mechanisms and Spatial Heterogeneity Effect Of Lu On...supporting

confidence: 90%

Spatio-temporal analysis of the impact of land urbanization on the gross primary productivity of vegetation in the Middle Reaches of the Yangtze River Urban Agglomeration: new evidence from the township scale

Peng,

Chen,

Wang

2023

Front. Ecol. Evol.

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The urgent need to maintain ecosystem provisioning services and achieve urban sustainable development goals has led to a long-standing focus on the driving effects of land urbanization (LU) in the Middle Reaches of the Yangtze River Urban Agglomeration (MRYRU) on vegetation cover system productivity. Previous studies have lacked consideration for the long-term correlation between land urbanization (LU) and the Gross Primary Productivity (GPP) of vegetation, as well as the spatial non-stationarity of LU’s impact in the region. This study is based on land cover remote sensing data and GPP imagery data to monitor the long-term evolution trends of LU and GPP in MRYRU from the perspectives of townships and grids. It further investigates the spatial correlation and clustering characteristics between the two using bivariate spatial autocorrelation method. Additionally, a Geographically and Temporally Weighted Regression (GTWR) model was employed to analyze the spatial effects of LU on GPP. The results indicate that the GPP of MRYRU grows to 1572.88gCm-2a-1 with an average annual growth rate of 0.848% from 2000 to 2020. High-value areas are distributed in the central and eastern mountainous of the urban agglomeration, while low-value areas gradually formed an “n”-shaped clustered distribution pattern. The negative spatial autocorrelation between LU and GPP shows a general upward trend, and Low-High is the dominant agglomeration type, concentrated in Hengyang and some mountainous cities in Jiangxi Province. The overall negative impact of land urbanization on GPP in MRYRU is maintained in the spatially nonstationary pattern of driving coefficients, with negative impact areas mostly concentrated in the city’s main city zone and positive impact areas concentrated in the urban agglomeration’s mountainous townships. This study provides support for MRYRU to adopt more resilient land optimization management strategies and vegetation ecological restoration plans.

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Section: Driving Mechanisms and Spatial Heterogeneity Effect Of Lu On...supporting

confidence: 90%

Spatio-temporal analysis of the impact of land urbanization on the gross primary productivity of vegetation in the Middle Reaches of the Yangtze River Urban Agglomeration: new evidence from the township scale

Peng,

Chen,

Wang

2023

Front. Ecol. Evol.

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“…Since the reform and opening-up, China's urbanization growth rate has been among the highest globally, with the urban built-up area expanding from 7000 square kilometers in 1981 to 60,700 square kilometers in 2020 [3]. In recent decades, the rapid expansion of urbanization has become an unstoppable trend in modern society, transcending a mere economic and social phenomenon to evolve into a complex ecological and environmental dilemma [4]. The disorderly expansion of construction land encroaches upon cultivated land, grassland, and forest land.…”

Section: Introductionmentioning

confidence: 99%

Research on the Spatial Structure of the Beijing–Tianjin–Hebei Urban Agglomeration Based on POI and Impervious Surface Coverage

Zhang,

Zhu,

Liu

et al. 2024

Buildings

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Exploring urban spatial structures through spatial coupling analysis methods is an important method to provide theoretical support for the construction of sustainable urban structures. In order to make up for the neglect of POI species differences in previous studies, information entropy was introduced to calculate POI confusion, and a comprehensive POI index was constructed by combining kernel density and the entropy weight method; impervious surface coverage was extracted based on land cover data. The spatial distribution of the Beijing–Tianjin–Hebei urban agglomeration and some typical cities was analyzed by coupling two types of data using the dual-factor mapping method. The research indicates the following: (1). The spatial distribution of the two sets of data in the Beijing–Tianjin–Hebei region is highly consistent, indicating a state of high spatial coupling; Beijing has the highest proportion of coupling in the same region at the city level (73.39%). (2). The areas with different coupling of the two types of data are mainly distributed in the urban fringe areas transitioning from the city center to the suburbs, as well as in large-scale areas with single functionality such as airports, scenic spots, and ports. This study shows that analysis combining the POI comprehensive index and impervious surface coverage can effectively characterize urban spatial structure characteristics, providing a new perspective for the study of the spatial structure of the Beijing–Tianjin–Hebei urban agglomeration. It is of great significance for a deeper understanding of the laws of urban agglomeration spatial structures and guiding the coordinated development of the Beijing–Tianjin–Hebei urban agglomeration.

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Effects of production–living–ecological space changes on the ecosystem service value of the Yangtze River Delta urban agglomeration in China

Zhao,

Liu,

Zhao

et al. 2023

Environ Monit Assess

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How does urbanisation affect the evolution of territorial space composite function?

Cited by 11 publications

References 79 publications

Spatio-temporal analysis of the impact of land urbanization on the gross primary productivity of vegetation in the Middle Reaches of the Yangtze River Urban Agglomeration: new evidence from the township scale

Spatio-temporal analysis of the impact of land urbanization on the gross primary productivity of vegetation in the Middle Reaches of the Yangtze River Urban Agglomeration: new evidence from the township scale

Research on the Spatial Structure of the Beijing–Tianjin–Hebei Urban Agglomeration Based on POI and Impervious Surface Coverage

Effects of production–living–ecological space changes on the ecosystem service value of the Yangtze River Delta urban agglomeration in China

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