Coupling relationship between urbanization and water-related ecosystem services in China’s Yangtze River economic Belt and its socio-ecological driving forces: A county-level perspective

Bi, Yuzhe; Zheng, Liang; Wang, Ying; Li, Jiangfeng; Yang, Hui; Zhang, Bowen

doi:10.1016/j.ecolind.2023.109871

Cited by 61 publications

(20 citation statements)

References 86 publications

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“…In driving force analysis, linear regression has been widely used as a practical and common method [51][52][53]. To further investigate the positive or negative effects of each factor on FVC, we conducted a supplementary analysis using the linear regression method.…”

Section: Linear Regressionmentioning

confidence: 99%

Spatial-Temporal Pattern and Driving Forces of Fractional Vegetation Coverage in Xiong’an New Area of China from 2005 to 2019

Huang

Qiu²,

Cao

et al. 2023

Sustainability

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The Xiong’an New Area was officially established in 2018 to construct a new, intelligent, and efficient urban area to alleviate Beijing’s non-capital functions. Using Landsat satellite images, we employed the dimidiate pixel model, band operation, and transition matrix to analyze the temporal and spatial variations in FVC (Fractional Vegetation Coverage) within the Xiong’an New Area in 2005, 2013, and 2019, respectively. Urbanization rate, precipitation, temperature, and population were considered potential driving forces, which we analyzed using grey relational analysis and linear regression to explore the correlation between FVC and these factors. The findings are as follows: from 2005 to 2019, overall improvement and significant degradation have been observed. In Baiyangdian, a part of the national key ecological area, water bodies and FVC have increased. Grey relational analysis revealed that precipitation had the highest grey relational value of 0.76. The average correlation among natural factors was 0.67, while that among human factors was 0.60. Generally, the Xiong’an New Area vegetation exhibited instability, while Baiyangdian demonstrated relatively stable FVC. Grey relational analysis indicates a strong potential for social and economic development in the Xiong’an New Area.

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Section: Linear Regressionmentioning

confidence: 99%

Spatial-Temporal Pattern and Driving Forces of Fractional Vegetation Coverage in Xiong’an New Area of China from 2005 to 2019

Huang

Qiu²,

Cao

et al. 2023

Sustainability

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“…China is the fastest developing country in the world regarding urbanization. The urbanization rate of the resident population has increased by 46.8% from 1978 (17.92%) to 2022 (64.72%) [1]. The urban spatial expansion and large-scale population agglomeration brought by rapid urbanization have caused multi-dimensional stress and even irreversible degradation of the ecosystem.…”

Section: Introductionmentioning

confidence: 99%

Spatial–Temporal Heterogeneity of Urbanization and Ecosystem Services in the Yellow River Basin

Zhang

Liu

et al. 2023

Sustainability

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Taking 736 counties in the Yellow River Basin of China as the research area, the comprehensive urbanization development level and ecosystem service capacity from 2000 to 2020 were measured. Combined with spatial autocorrelation, the spatial pattern evolution characteristics of the two systems in the Yellow River Basin were revealed. The spatio–temporal geographically weighted regression (GTWR) model was used to analyze the spatio–temporal heterogeneity of the impact of various elements of the system on urbanization and ecosystem service capacity. The results showed that (1) the urbanization level and ecosystem service capacity of the Yellow River Basin were on the rise but the urbanization level and ecosystem service capacity were low, while the spatial and temporal heterogeneity was significant. (2) The two systems are positively correlated in space, and the agglomeration characteristics are significant. The evolution trend of urbanization from an L–L agglomeration area to an H–H agglomeration area is occurring gradually. The spatial change in the ecosystem service agglomeration area is small, and the stability is strong. (3) The impact of ecosystem services on comprehensive urbanization is enhanced by time, and the spatial ‘center–periphery’ diffusion characteristics are significant. (4) The influence of urbanization on the comprehensive ecosystem service capacity is enhanced and shows the law of east–west differentiation in space. There are obvious transition zones in the spatial heterogeneity interval of the interaction between the two systems.

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“…At the same time, one-fifth of the world's population still cannot have access to modern electricity, and 3 billion people rely on wood and coal for cooking and heating (UN, 2020). In addition, with the rapid progress of industrialization and urbanization, the contradiction between economy, society, and environment has become increasingly prominent (Bi et al, 2023). More than 80% of the wastewater generated by global human activities is discharged into rivers or oceans without treatment.…”

Section: Introductionmentioning

confidence: 99%

The evolution trend, regional differences, and influencing factors of sustainable development efficiency in rural China under the constraint of water and energy

Ding

Hao

et al. 2023

Natural Resources Forum

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Water and energy are not only the foundation of high‐quality development in rural areas but also important constraints. Exploring the inner relationship between water, energy, and economic development has important significance for the high‐quality development in rural areas. This paper first constructs the evaluation index system of high‐quality development in rural areas, and quantifies high‐quality development levels in rural China from 1997 to 2021. Second, from the perspective of water footprint, the Super‐slack based measure model is used to calculate sustainable development efficiency under the constraint of water and energy. Finally, kernel density function, Gini coefficient method, and Tobit model are used to explore the evolution trend, regional differences, and driving factors of sustainable development efficiency in rural China. The results show that: (1) Under the constraint of water and energy, sustainable development efficiency in rural China is relatively low, showing a fluctuating trend of first rising and then declining. The efficiency in the western and eastern regions is higher than the national average, while the central region is the lowest. (2) The evolution trend of sustainable development efficiency in rural China, both the eastern and the western regions, shows the characteristics of “decreasing efficiency and weak polarization phenomenon,” while the central region shows the characteristics of “decreasing efficiency and no polarization phenomenon.” (3) The regional differences illustrate a fluctuating upward trend, which is mainly caused by the hypervariable density, followed by the differences among provinces in the eastern region. (4) Economic development, opening up, and rural marketization are the main factors.

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Coupling relationship between urbanization and water-related ecosystem services in China’s Yangtze River economic Belt and its socio-ecological driving forces: A county-level perspective

Cited by 61 publications

References 86 publications

Spatial-Temporal Pattern and Driving Forces of Fractional Vegetation Coverage in Xiong’an New Area of China from 2005 to 2019

Spatial-Temporal Pattern and Driving Forces of Fractional Vegetation Coverage in Xiong’an New Area of China from 2005 to 2019

Spatial–Temporal Heterogeneity of Urbanization and Ecosystem Services in the Yellow River Basin

The evolution trend, regional differences, and influencing factors of sustainable development efficiency in rural China under the constraint of water and energy

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