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Frontiers of Earth Science

ISSN 2095-0195

ISSN 2095-0209(Online)

CN 11-5982/P

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2018 Impact Factor: 1.205

Front. Earth Sci.    2018, Vol. 12 Issue (4) : 791-807    https://doi.org/10.1007/s11707-017-0637-0
RESEARCH ARTICLE
A gradient analysis on urban sprawl and urban landscape pattern between 1985 and 2000 in the Pearl River Delta, China
Erfu DAI1,2, Zhuo WU1,2(), Xiaodian DU3
1. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. Beijing No.65 Middle School, Beijing 100006, China
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Abstract

Urbanization is an irreversible trend worldwide, especially in rapidly developing China. Accelerated urbanization has resulted in rapid urban sprawl and urban landscape pattern changes. Quantifying the spatiotemporal dynamics of urban land use and landscape pattern not only can reveal the characteristics of social transfer and economic development, but also can provide insights into the driving mechanisms of land use changes. In this study, we integrated remote sensing (RS), geographic information system (GIS), landscape metrics, and gradient analysis to quantitatively compare the spatiotemporal dynamics of land use, urban sprawl, and landscape pattern for nine cities in the Pearl River Delta from 1985?2000. For the whole study region, urbanization was obvious. The results show an increase in urban buildup land and shrinkage of cropland in the Pearl River Delta. However, the nine cities differed greatly in terms of the process and magnitude of urban sprawl for both the spatial and temporal dimensions. This was most evident for the cities of Guangzhou and Shenzhen. Gradient analysis on urban landscape changes could deepen understanding of the stages of urban development and provide a scientific foundation for future urban planning and land management strategies in China.

Keywords urbanization      urban sprawl      landscape pattern      gradient analysis      Pearl River Delta in China     
Corresponding Author(s): Zhuo WU   
Just Accepted Date: 20 March 2017   Online First Date: 19 April 2017    Issue Date: 20 November 2018
 Cite this article:   
Erfu DAI,Zhuo WU,Xiaodian DU. A gradient analysis on urban sprawl and urban landscape pattern between 1985 and 2000 in the Pearl River Delta, China[J]. Front. Earth Sci., 2018, 12(4): 791-807.
 URL:  
https://academic.hep.com.cn/fesci/EN/10.1007/s11707-017-0637-0
https://academic.hep.com.cn/fesci/EN/Y2018/V12/I4/791
Fig.1  Location of cities in the Pearl River Delta (Guangdong), South China.
Land use class Secondary land use category
Cropland (CL) Paddy
Farmland
Woodland (WL) Forest
Shrub
Sparse woodland
Orchard land (OL) Economic forest
Grassland (GL) High coverage grassland
Moderate coverage grassland
Low coverage grassland
Water body (WB) River and aqueduct
Lake
Tidal flat and bottomland
Aquiculture land (AL) Reservoir and pond
Urban buildup land (UBL) Urban land
Other construction land
Rural residential land (RRL) Rural residential land
Tab.1  Land use classification categories
Fig.2  Land use maps in the Pearl River Delta (Guangdong) in 1985, 1995, and 2000. (a) 1985; (b) 1995; (c) 2000. CL: cropland; WL: woodland; OL: orchard land; GL: grassland; WB: water body; AL: aquiculture land; UBL: urban buildup land; and RRL: rural residential land.
Fig.3  Land use changes in the 9 cities within a 0?20 km buffer zone in 1985, 1995, and 2000. CL: cropland; WL: woodland; OL: orchard land; GL: grassland; WB: water body; AL: aquiculture land; UBL: urban buildup land; and RRL: rural residential land.
Fig.4  Urbanization in the buffer zones of cities in the Pearl River Delta during 1985?2000. (a) Dongguan, (b) Zhongshan, (c) Foshan, (d) Guangzhou, (e) Huizhou, (f) Jiangmen, (g) Shenzhen, (h) Zhuhai, (i) Zhaoqing.
Fig.5  Percentage of urban buildup land in three buffer zones for the total area of nine cities in the Pearl River Delta during 1985?2000. I: Dongguan, II: Zhongshan, III: Foshan, IV: Guangzhou, V: Huizhou, VI: Jiangmen, VII: Shenzhen, VIII: Zhuhai, and IX: Zhaoqing.
Fig.6  The largest patch index (LPI) for different buffer zones of the nine cities in 1985, 1995, and 2000. I: Dongguan, II: Zhongshan, III: Foshan, IV: Guangzhou, V: Huizhou, VI: Jiangmen, VII: Shenzhen, VIII: Zhuhai, and IX: Zhaoqing.
Fig.7  The mean patch area (AREA_MN) for different buffer zones of the nine cities in 1985, 1995, and 2000. I: Dongguan, II: Zhongshan, III: Foshan, IV: Guangzhou, V: Huizhou, VI: Jiangmen, VII: Shenzhen, VIII: Zhuhai, and IX: Zhaoqing.
Fig.8  The contagion index (CONTAG) for different buffer zones of the nine cities in 1985, 1995, and 2000. I: Dongguan, II: Zhongshan, III: Foshan, IV: Guangzhou, V: Huizhou, VI: Jiangmen, VII: Shenzhen, VIII: Zhuhai, and IX: Zhaoqing.
Fig.9  The interspersion and juxtaposition index (IJI) for different buffer zones of the nine cities in 1985, 1995, and 2000. I: Dongguan, II: Zhongshan, III: Foshan, IV: Guangzhou, V: Huizhou, VI: Jiangmen, VII: Shenzhen, VIII: Zhuhai, and IX: Zhaoqing.
Fig.10  The Shannon’s diversity index (SHDI) for different buffer zones of the nine cities in 1985, 1995, and 2000. I: Dongguan, II: Zhongshan, III: Foshan, IV: Guangzhou, V: Huizhou, VI: Jiangmen, VII: Shenzhen, VIII: Zhuhai, and IX: Zhaoqing.
Fig.11  The Shannon’s evenness index (SHEI) for different buffer zones of the nine cities in 1985, 1995, and 2000. I: Dongguan, II: Zhongshan, III: Foshan, IV: Guangzhou, V: Huizhou, VI: Jiangmen, VII: Shenzhen, VIII: Zhuhai, and IX: Zhaoqing.
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