scholarly journals Spatiotemporal effects of urban sprawl on habitat quality in the Pearl River Delta from 1990 to 2018

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jiansheng Wu ◽  
Xuechen Li ◽  
Yuhang Luo ◽  
Danni Zhang
Keyword(s):  
Economic Development ◽  
Habitat Quality ◽  
Urban Sprawl ◽  
Pearl River Delta ◽  
Pearl River ◽  
Quality Change ◽  
Ecological Civilization ◽  
The Pearl River Delta ◽  
Negative Effect ◽  
The Pearl River

AbstractSince the implementation of the Chinese economic reforms. The habitat quality of coastal has gradually deteriorated with economic development, but the concept of "ecological construction" has slowed the negative trend. For quantitative analysis of the correlation between the Pearl River Delta urban expansion and changes in habitat quality under the influence of the policy, we first analyzed the habitat quality change based on the InVEST model and then measured the impact of construction land expansion on the habitat quality through habitat quality change index (HQCI) and contribution index (CI) indicators. Finally, the correlation between urbanization level and habitat quality was evaluated using geographically weighted regression (GWR) and the Self-organizing feature mapping neural network (SOFM). The results indicated that: (1) during the study period from 2000 to 2020, habitat quality declined due to urban sprawl, indicating a deterioration of ecological structure and function, and the decrease was most significant from 2000 to 2010. (2) The urbanization index had a negative effect on the habitat quality, but the negative effect have improved after 2000, reflecting the positive effect of policies such as "ecological civilization construction" (3) The implementation degree of ecological civilization varies greatly among cities in the study area: Shenzhen, Dongguan, Foshan, and Zhongshan have the best level of green development. These results reflect the positive role of policies in the prevention of damage to habitat quality caused by economic development and provide a reference for the formulation of sustainable urban development policies with spatial differences.

scholarly journals Spatiotemporal Effects of Urban Sprawl on Habitat Quality in the Pearl River Delta from 1990 To 2018

2021 ◽  
Author(s):  
Jiansheng Wu ◽  
Xuechen Li ◽  
Yuhang Luo ◽  
Danni Zhang
Keyword(s):  
Economic Development ◽  
Habitat Quality ◽  
Pearl River Delta ◽  
Urban Expansion ◽  
River Delta ◽  
Pearl River ◽  
Quality Change ◽  
Ecological Civilization ◽  
The Pearl River Delta ◽  
The Pearl River

Abstract Since the implementation of the Chinese economic reforms, economic development in the coastal cities has resulted in serious degradation of habitat quality; however, the concept of "ecological civilization" has improved this situation. For quantitative analysis of the correlation between the Pearl River Delta urban expansion and changes in habitat quality under the influence of the policy, we first analyzed the habitat quality change based on the InVEST model and then measured the impact of construction land expansion on the habitat quality through habitat quality change index (HQCI) and contribution index (CI) indicators. Finally, the correlation between urbanization level and habitat quality was evaluated using geographically weighted regression (GWR) and the Self-organizing feature mapping neural network (SOFM). The results indicated that: (1) during the study period, the habitat quality index decreased from 0.7181 to 0.6672 owing to urban expansion, and the decrease was most significant from 2000 to 2010. (2) The urbanization index had a negative effect on the habitat quality, but this improved after 2000, reflecting the positive effect of policies such as "ecological civilization construction" (3) The importance of ecological civilization varies greatly among cities in the study area: Shenzhen, Dongguan, Foshan, and Zhongshan have the best level of green development. These results reflect the positive role of policies in the prevention of damage to habitat quality caused by economic development and provide a reference for the formulation of sustainable urban development policies with spatial differences.

scholarly journals County-Scale Destination Migration Attractivity Measurement and Determinants Analysis: A Case Study of Guangdong Province, China

2019 ◽  
Vol 11 (2) ◽  
pp. 362 ◽  
Author(s):  
Qingsheng Yang ◽  
Hongxian Zhang ◽  
Kevin M Mwenda
Keyword(s):  
Economic Development ◽  
Social Service ◽  
Pearl River Delta ◽  
Guangdong Province ◽  
River Delta ◽  
Pearl River ◽  
The Core ◽  
The Pearl River Delta ◽  
The Pearl River ◽  
County Scale

Measuring destination attractivity and finding the determinants of attractivity at the county scale can finely reveal migration flows and explain what kinds of counties have higher attractivity. Such understanding can help local governors make better policies to enhance county attractivity and attract more migrants for regional development. In this study, the county-scale relative intrinsic attractivity (RIA) of Guangdong Province is computed using the number of migrants and the corresponding distances between origins and destinations. The results show that the RIA has a higher positive correlation with the flows of migrants to destination and demonstrates an obvious phenomenon of distance decay. The RIA decreases faster when the distance between origins and destinations increases. Spatially, the RIA reveals a core-periphery belt pattern in Guangdong Province. The center of the Pearl River Delta is the highest core of RIA and the outside areas of the delta represent the low-RIA belt. The highest RIA is 6811 in Dongguan City and the lowest RIA is 1 in Yangshan County. The core area includes Dongguan, Shenzhen City and the southern regions of Guangzhou, Foshan and Zhongshan City where the RIA value is higher than 1000. The second belt is mainly composed of the periphery districts of the Pearl River Delta, which include Shunde, Nanhai, Luohu, Tianhe Huicheng, Panyu, Haizhu, Huiyang, Huadu, Yuexiu, Xiangzhou and the Yuexiu, Huangpu and Boluo, where the RIA values are higher than 100 and lower than 1000. The third belt includes the western wing, eastern wing and northern area. Most of these RIA values range from 1 to 2. In this belt, there are three areas with relatively higher RIA attractivity scattered in the ring: the downtowns of Zhanjiang City, Chaozhou and Shantou Cities and Shaoguan City. The areas farther away from the core have a lower RIA score. Determinants analysis indicates that the RIA is positively determined by destination economic development level, social service and living standard level and destination population quality. A region will be more attractive if it has higher per capital GDP, tertiary industry level, investment and number of industrial enterprises involved in economic development. A region with a high annual average wage of employees and high social service and living standards will be more attractive, while a region with low destination population quality, including aspects such as the adult illiteracy rate, will be less attractive.

scholarly journals Trade-Offs and Synergies of Ecosystem Services in the Pearl River Delta Urban Agglomeration

2021 ◽  
Vol 13 (16) ◽  
pp. 9155
Author(s):  
Qiongrui Zhang ◽  
Xuechao Sun ◽  
Kebin Zhang ◽  
Zhenni Liao ◽  
Songjun Xu
Keyword(s):  
Ecosystem Services ◽  
Habitat Quality ◽  
Pearl River Delta ◽  
Food Production ◽  
Urban Agglomeration ◽  
Pearl River ◽  
Water Yield ◽  
The Pearl River Delta ◽  
Trade Offs ◽  
The Pearl River

Since ecosystem services (ESs) have become effective tools for urban planning, spatiotemporal analysis of regional ESs and a deep understanding of the trade-offs among ESs are of great significance to regional governance. In this study, the spatial and temporal changes of four basic ESs were analyzed by combining statistical data with the InVEST model across the Pearl River Delta (PRD) urban agglomeration, China. The trade-offs among the related ESs were analyzed at the urban agglomeration scale and the city scale by correlation analysis. The results showed that: (1) Construction land increased by 6.78% from 2000 to 2018, while cultivated land and forest decreased. (2) Water yield showed an increasing trend, while carbon storage, food production, and habitat quality showed a downward trend from 2000 to 2018. (3) The four ecosystem services were significantly correlated, with synergies existing between water yield and food production, and between habitat quality and carbon storage, while other relationships are trade-offs. What is more, the scale has little influence on the direction of ES trade-off or synergy but influences the degree of the relationship. This empirical evidence on ES relationships in urban agglomerations can provide a reference for the sustainable development of ESs and efficient management of urban agglomerations.

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