Spatial Differentiation and Driving Factor Analysis of Urban Construction Land Change in County-Level City of Guangxi, China

Ouyang, Dong; Zhu, Xiaodong; Liu, Xingguang; He, Renfei; Wan, Qian

doi:10.3390/land10070691

Cited by 27 publications

(13 citation statements)

References 82 publications

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“…Guangxi woodland covers a large area that is mostly concentrated in patches, with significant dominance trends and small change trend that keep ecological risk low-medium. Nevertheless, in the 21st century, peak periods of industrialization, urbanization, and infrastructure development have occurred in Guangxi that have increased the demand for land development, which has remained high for quite a long time [56]. In fact, construction land area increased by 1306.99 km 2 from 2000 to 2018, due to development of large amounts of original woodland and grassland areas.…”

Section: Analysis Of Land-use Change and Landscape Characteristicsmentioning

confidence: 99%

Landscape Pattern and Ecological Risk Assessment in Guangxi Based on Land Use Change

Yang

Chen

Lan

et al. 2022

IJERPH

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Due to ecological environmental fragility and soil erosion in Guangxi, studies of landscape patterns and associated ecological risks are needed to guide sustainable land development and ecologically sensitive land management. This study assesses dynamic spatial and temporal change patterns in land use and ecological risks based on 30 m land-use data, analyzes spatial correlations with ecological risks, and explores natural and socio-economic factor impacts on ecological risks. The results reveal: (1) A rapid and sizeable construction land increase in Guangxi from 2000 to 2018 associated mainly with loss of woodland and grassland. (2) Guangxi had the highest number of arable land patches from 2000 to 2018, and the distribution tended to be fragmented; moreover, the construction land gradually expanded outward from concentrated areas to form larger aggregates with increasing internal stability each year. (3) Guangxi ecological risk levels were low, low–medium, and medium, with significantly different spatial distributions observed for areas possessing different ecological risk levels. Regional ecological risk gradually decreased from the middle Guangxi regions to the surrounding areas and was positively correlated with spatial distribution. (4) Socio-economic factor impacts on ecological risk exceeded natural factor impacts. These results provide guidance toward achieving ecologically sensitive regional land-use management and ecological risk reduction and control, it can also provide a reference for ecological risk research in other similar regions in the world.

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Section: Analysis Of Land-use Change and Landscape Characteristicsmentioning

confidence: 99%

Landscape Pattern and Ecological Risk Assessment in Guangxi Based on Land Use Change

Yang

Chen

Lan

et al. 2022

IJERPH

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“…GeoDetector is a new spatial statistical method based on factors, ecology, interaction and risk to detect spatial Frontiers in Environmental Science frontiersin.org differentiation and reveal driving factors (Ouyang et al, 2021).…”

Section: Geodetector Modelmentioning

confidence: 99%

Spatial-temporal changes of NDVI in the three northeast provinces and its dual response to climate change and human activities

Wang²,

Liu³

et al. 2022

Front. Environ. Sci.

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As the most important ecological barrier in eastern China, the three northeast provinces have extraordinary ecological significance. Their geographical location and climatic conditions make the distribution pattern of vegetation unique. Among them, climate change and human activities are the main factors affecting the richness and complexity of vegetation, climate change dominates the overall pattern of vegetation distribution, and regional human intervention locally changes the growth state of vegetation. Therefore, based on NDVI data of vegetation, meteorological data and socio-economic data, statistical methods such as Sen’s slope estimator, Mann-Kendall trend test, center of gravity transfer model, Hurst index and coefficient of variation were adopted to analyze the spatio-temporal changes and future trends in vegetation coverage; The use of Geographic detector to understand the relationship between NDVI to climate change and human activities. The results suggested that: 1) The three northeast provinces of China experienced an overall increasing NDVI at a rate of 0.016%/year from 2001 to 2020. The NDVI shows intensive heterogeneity in space, exhibiting a landscape of high in the East, low in the west, high in the north and low in the south; 2) The results of geographic detectors show that the temporal and spatial distribution pattern of vegetation NDVI is mainly determined by ≥ 10°C accumulated temperature, ≥ 0°C accumulated temperature, annual average temperature and land use type. The interaction between factors presents a bi-variable enhancement and nonlinear enhancement, and human activity factors enhance the contribution of climate factors. 3) Future changes in NDVI indicated that the vegetation coverage showed a trend of “overall improvement and regional degradation” from 2001 to 2020, and showed reverse persistence. The degraded area of vegetation will be more than the improved area. The research results will help the three northeast provinces cope with global climate change, enrich the research on the vegetation in the three northeastern provinces, and provide a scientific basis for formulating appropriate regional ecological protection policies.

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“…In addition, against the background of increasingly intense human-land conflict, promoting the decoupling of urban population growth from urban construction land change is an essential prerequisite for the construction of new urbanization and an important measure of the harmony of the human-land relationship [95,96]. The data of urban construction land come from the China Urban Construction Statistical Yearbook published by the Ministry of Housing and Construction of China, and the statistical caliber is consistent with the Code for Classification of Urban Land Use and Planning Standards of Development Land (GB50137-2011) [97]. The other indexes are mainly from the China City Statistical Yearbook, and some missing data are from the Gansu Provincial Statistical Yearbook as well as the statistical yearbooks and statistical bulletins of cities.…”

Section: Index Selection and Data Sourcesmentioning

confidence: 99%

A Dynamic Performance and Differentiation Management Policy for Urban Construction Land Use Change in Gansu, China

Zhang

Zhao

et al. 2022

Land

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Making efforts to promote rationalized urban construction land change, distribution, allocation, and its performance is the core task of territory spatial planning and a complex issue that the government must face and solve. Based on the Boston Consulting Group matrix, a decoupling model, and a GIS tool, this paper constructs a new tool that integrates “dynamic analysis + performance evaluation + policy design” for urban construction land. We reached the following findings from an empirical study of Gansu, China: (1) Urban construction land shows diversified changes, where expansion is dominant and shrink cannot be ignored. (2) Most cities are in the non-ideal state of LH (Low-High) and LL (Low-Low), with a small number in the state of HH (High-High) and HL (High-Low). (3) Urban construction land change and population growth, economic development, and income increase are in a discordant relationship, mostly in strong negative decoupling and expansive negative decoupling. (4) The spatial heterogeneity of urban construction land change and its performance are at a high level, and they show a slow upward trend. Additionally, the cold and the hot spots show obvious spatial clustering characteristics, and the spatial pattern of different indexes is different to some extent. (5) It is suggested that in territory spatial planning Gansu should divide the space into four policy areas—incremental, inventory, a reduction development policy area, and a transformation leading policy area—to implement differentiated management policies and to form a new spatial governance system of “control by zoning and management by class.” The change of urban construction land, characterized by dynamics and complexity, is a direct mapping of the urban growth process. The new tools constructed in this paper will help to reveal the laws of urban development and to improve the accuracy of territory spatial planning in the new era. They are of great theoretical significance and practical value for promoting high-quality and sustainable urban development.

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Spatial Differentiation and Driving Factor Analysis of Urban Construction Land Change in County-Level City of Guangxi, China

Cited by 27 publications

References 82 publications

Landscape Pattern and Ecological Risk Assessment in Guangxi Based on Land Use Change

Landscape Pattern and Ecological Risk Assessment in Guangxi Based on Land Use Change

Spatial-temporal changes of NDVI in the three northeast provinces and its dual response to climate change and human activities

A Dynamic Performance and Differentiation Management Policy for Urban Construction Land Use Change in Gansu, China

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