Quantifying the supply-demand balance of ecosystem services and identifying its spatial determinants: A case study of ecosystem restoration hotspot in Southwest China

Min, Jiyoung; Jiang, Chong; Huang, Wumeng; Chen, Wei-Lian; Gong, Quanmei; Yang, Ji; Zhao, Ying; Chen, Zhuang; Wang, Junguang; Yang, Zhiyuan

doi:10.1016/j.ecoleng.2021.106472

Cited by 33 publications

(22 citation statements)

References 59 publications

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“…First, these results mostly depend on large scales, such as national, provincial and municipal levels, but pay less attention to the measurement of the spatiotemporal evolution of basin scales [ 65 , 66 ]. Second, they focus on the unilateral spatiotemporal succession of supply and demand; however, there are relatively few studies on the spatiotemporal evolution of both the supply and demand sides and the balance pattern of supply and demand [ 67 , 68 ]. Third, the research focuses on economically developed regions, including “Beijing–Tianjin–Hebei” urban Agglomeration and Yangtze River Delta urban agglomeration and pays less attention to the ecosystem services from the perspective of “supply–demand-balance” pattern in the research area [ 69 , 70 , 71 ].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Differentiation and Balance Pattern of Ecosystem Service Supply and Demand in the Yangtze River Economic Belt

Zhao

Xiao

Qian

et al. 2022

IJERPH

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Analyzing the supply and demand of ecosystem services and the regional balance pattern is an important basis for improving the ecological management level. Taking the Yangtze River economic belt as the study area, the spatiotemporal characteristics and balance pattern of ecosystem service supply and demand are quantitatively revealed based on equivalent factors, supply and demand balance modeling and quantile regression. The results show that: (1) the ecosystem services value in the research area experienced a change process of “increase–decrease–increase” from 2000 to 2020. The ecological service value of cultivated land and grassland presented a continuous decline, with decreases of 20.446 billion and 4.53 billion yuan, respectively, in the past 20 years, with reduction rates of −4.82% and −3.98%, respectively. (2) The demand for ecosystem services showed an unbalanced and phased growth trend. The total demand for ecosystem services showed heterogeneity and agglomeration effects in space. High demand and higher demand areas are mainly distributed in the regions with relatively developed population and economy, including Yangtze River Delta urban agglomeration, “Changsha–Zhuzhou–Xiangtan” urban agglomeration, Poyang Lake Plain, Jianghan Plain and Chengdu Plain. (3) The overall pattern of the supply–demand balance of ecosystem services has changed little; however, there have also been significant changes in certain areas in individual years.

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Section: Introductionmentioning

confidence: 99%

Spatiotemporal Differentiation and Balance Pattern of Ecosystem Service Supply and Demand in the Yangtze River Economic Belt

Zhao

Xiao

Qian

et al. 2022

IJERPH

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“…Less attention has been paid to the spatial non-stationary relationship between the leading factors affecting ES. Commonly used methods such as correlation analysis and overlay analysis can only clarify the relationship between individual factors and ES and cannot quantitatively derive significant impact factors and their intensity, nor can it reveal the spatial heterogeneity of factor interaction and the possible synergistic or antagonistic effects among the factors (Jiang et al, 2022), especially when exploring multivariate driver analysis, the problem of multicollinearity between drivers often occurs (Toutenburg, 2006;Yu et al, 2022a). When there is a multicollinearity problem, the variance of the parameter estimator will be too large, the accuracy will be reduced, the significance test of the variable will be meaningless, and the influence of the explanatory variable on the explained variable cannot be correctly judged, resulting in the unreasonable value of the parameter estimator (Yu et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Quantifying the Temporal and Spatial Patterns of Ecosystem Services and Exploring the Spatial Differentiation of Driving Factors: a Case Study of Sichuan Basin, China

Wang

et al. 2022

Front. Environ. Sci.

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Exploring the factors that drive the change of ecosystem services (ES) is very important for maintaining ES function and zoning ecological management, especially in the Sichuan Basin area with high spatial heterogeneity such as natural and socio-economic characteristics. Taking the Sichuan Basin in China as an example, the PCA-MGWR model was constructed to explore the temporal and spatial patterns of ES in the Sichuan Basin from 2000 to 2015. The potential driving factors including anthropogenic factors, geomorphological factors, climate factors, and vegetation factors would be analyzed by principal component analysis (PCA). To illustrate the impact of spatial dependence in the data, the multi-scale geographically weighted regression (MGWR) technology was selected to explore the spatial differentiation of the impact of these four dimensions on ES to reflect the local differences of ecosystem service driving mechanisms in more detail. The results showed that 1) from the perspective of time series evolution, carbon storage (CS) and soil conservation (SC) in ES in the Sichuan Basin showed an upward trend, while water yield (WY) showed a downward trend; from the perspective of spatial patterns, except the main urban areas of Chengdu and Chongqing, the CS service level of other regions was high; The spatial distribution characteristics of SC services were “low in the middle and high in the periphery”; the high value area of WY service was located in Northeast Sichuan. 2) Among natural factors, elevation (DEM), slope (SLO), NDVI, annual average temperature (TEM), and annual average precipitation (PRE) had a higher contribution rate to ES, while among socio-economic factors, GDP density (GDP), night light (LIG), and population density (POP) had a higher contribution rate to ES, while other factors had a lower contribution rate. 3) Combined with the PCA-MGWR model, we analyzed the comprehensive response and spatial differentiation of driving factors to ES in the Sichuan Basin and explained in detail the influence of anthropogenic factors, geomorphological factors, climatic factors, and vegetation factors and their spatial heterogeneity in ES. It is expected that the spatial differences in the impact degree of different indicators can be considered when formulating the countermeasures of ES in the Sichuan Basin, to provide theoretical support for the implementation of regional ecological management and control.

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“…The over-dependence on certain services provided by the ecosystem during rapid urbanization aggravates the trade-offs between such services and the supply of other ESs, resulting in changes to the supply of other ESs [ 8 , 9 , 10 ]. The unbalanced demand for ESs causes a vicious cycle of socioeconomic and environmental injustice, which leads to trade-offs between the demand for ESs and the difference between the S&D of ESs [ 11 , 12 , 13 , 14 , 15 ]. However, few previous studies have analyzed the effect of multi-scale spatially varying relationships between urbanization elements on the ESs balance.…”

Section: Introductionmentioning

confidence: 99%

“…ESs and human well-being are closely linked [ 16 , 17 , 18 ]. There has been a wealth of research on ESs [ 5 , 12 , 19 , 20 ]. Existing studies have reported extensively on ESs assessments, influencing factors, trade-offs and synergies, the S&D balance, and scenario predictions [ 13 , 21 , 22 , 23 , 24 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

Impact of Urbanization on Ecosystem Services Balance in the Han River Ecological Economic Belt, China: A Multi-Scale Perspective

Chen

Bian

et al. 2022

IJERPH

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Urbanization intensification seriously interferes with the supply capacity and demand level of ecosystem services (ESs); therefore, it affects the balance state of ESs. Coordination of urbanization development and ecosystem protection in the ecological economic belt is vital for ecological protection and high-quality development of the ecological economic belt. However, previous studies lacked multi-scale analysis of the impact of urbanization elements on the ESs balance index (ESBI) in the ecological economic belt. In this study, a geographically weighted regression model was employed to measure the spatial non-stationary patterns associated with the impact of urbanization elements on the ESBI at 5 km and 10 km in the Han River Ecological Economic Belt (HREEB) in China based on land use data. The main findings were shown as follows. The supply capacity and demand level of ESs in the HREEB increased from 2000 to 2020 simultaneously, while the ESBI showed a decreasing trend. In mountainous areas, the ESBIs were evidently higher than those in the plain areas. During the study period, the urbanization level in the HREEB improved evidently, and the urbanization levels of the middle and lower reaches of the Hanjiang River were relatively high. Significant spatial dependence between urbanization elements and the ESBI was identified. Urbanization had significant positive and negative impacts on ESBI, and there were significant differences among different scales. The findings of this study can act as a decision-making reference for ecological protection and high-quality development of the HREEB and can also provide a perspective for exploring the impact of urbanization on the ESBI of the ecological economic belt in other similar regions.

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Quantifying the supply-demand balance of ecosystem services and identifying its spatial determinants: A case study of ecosystem restoration hotspot in Southwest China

Cited by 33 publications

References 59 publications

Spatiotemporal Differentiation and Balance Pattern of Ecosystem Service Supply and Demand in the Yangtze River Economic Belt

Spatiotemporal Differentiation and Balance Pattern of Ecosystem Service Supply and Demand in the Yangtze River Economic Belt

Quantifying the Temporal and Spatial Patterns of Ecosystem Services and Exploring the Spatial Differentiation of Driving Factors: a Case Study of Sichuan Basin, China

Impact of Urbanization on Ecosystem Services Balance in the Han River Ecological Economic Belt, China: A Multi-Scale Perspective

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