Dynamic Analysis of Supply and Demand Coupling of Ecosystem Services in Loess Hilly Region: A Case Study of Lanzhou, China

Li, Pengjie; Liu, Licheng; Wang, Weiting

doi:10.1007/s11769-021-1190-z

Cited by 33 publications

(34 citation statements)

References 58 publications

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“…In recent years, scholars at home and abroad have discussed the spatial and temporal evolution of ecosystem services [5][6][7], influencing factors [8,9] and trade-offs and synergistic relationship measurements [10][11][12]. A large number of studies have been conducted in recent years.…”

Section: Introductionmentioning

confidence: 99%

Measuring the Relationship between Physical Geographic Features and the Constraints on Ecosystem Services from Urbanization Development

Wang

et al. 2022

Sustainability

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Exploring the constraint relationship between physical geographic features and urbanization on ecosystem services is important for managing and optimizing regional ecosystem services. Taking Anhui Province as an example, we assessed the spatial and temporal evolution characteristics of five types of ecosystem services (habitat support, water production services, soil conservation, NPP, and carbon fixation) and five types of urbanization levels (population, economic, social, ecological, and spatial) in 2000, 2010, and 2020, and integrated the constraint line method, bivariate spatial autocorrelation model, and spatial regression model to measure the relationship between ecosystem services. The spatial constraints between ecosystem services and urbanization level and natural topography in Anhui Province were measured using the constraint line method, bivariate spatial autocorrelation model and the spatial regression model. The results show that: (1) the spatial distribution of the five types of ecosystem services in Anhui Province is characterized as “low in the north and high in the south”. At the provincial level, the five ecosystem services in southern and central Anhui Province are synergistic, while the five ecosystem services in northern Anhui Province show a trade-off; (2) topography has different effects on the five ecosystem services with “exponential” effects on water production services and NPP, “positive convex” effects on habitat support, and “positive convex” effects on habitat support”; (3) the bivariate global autocorrelation Moran’s I index between ecosystem services and urbanization level in Anhui Province is significant, confirming that ecosystem services and urbanization are spatially related, where the development of population urbanization, spatial urbanization, economic urbanization, and social urbanization leads to the decrease in ecosystem services, and ecological urbanization promotes the increase in ecosystem services. In the spatial regression model, the Spatial Lag Model passed the significance test, indicating that there is a spatial spillover effect between ecosystem services and urbanization. That is, changes in ecosystem services are influenced not only by their own urbanization elements, but also by urbanization elements in neighboring units or more distant units. Exploring the constraints of ecosystem services and identifying their interaction with urbanization can provide a scientific basis for land-use optimization, adjusting management measures and achieving regional sustainability.

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Section: Introductionmentioning

confidence: 99%

Measuring the Relationship between Physical Geographic Features and the Constraints on Ecosystem Services from Urbanization Development

Wang

et al. 2022

Sustainability

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“…At the regional level, the current research on ecosystem services focuses on the coordination of supply and demand [ 93 ]. The spatial utilization layout of resource elements in the region will impact the production and transportation of ecosystem services, end up with significant changes in the trade-off/synergy between various services [ 94 ]. However, at the regional level, the ecosystem change cycle is long, and the changes of ecosystem service supply and demand should be considered in the long run.…”

Section: Discussionmentioning

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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“…The "Sediment Delivery Ratio module" of InVEST was used to map and calculate the total amount of soil conservation per pixel based on the universal soil loss equation (RUSLE) (Sharp et al, 2020). Soil conservation equals the difference between the actual amount of soil erosion (USLE) and the maximum potential amount of soil erosion (RKLS), assuming the original land cover without the C or P factors (Kareiva et al, 2011;Ouyang et al, 2016), and is calculated as: (2) Demand The amount of actual soil loss was used to define demand for soil conservation, which is based on the quantity of actual soil erosion that human beings are expected to deal with (Liu et al, 2019). The calculation of the amount of actual soil loss is below:…”

Section: Soil Conservation (1) Supplymentioning

confidence: 99%

Drivers of spatiotemporal disparities in the supply-demand budget of ecosystem services: A case study in the Beijing-Tianjin-Hebei urban agglomeration, China

Qin

et al. 2022

Front. Environ. Sci.

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Assessing the spatiotemporal patterns of ecosystem services (ESs) supply and demand, as well as the drivers thereof during specific time periods, is critical for regional policy making and sustainable management. Taking the Beijing-Tianjin-Hebei (BTH) urban agglomeration of China as an example, we studied four ES supply-demand budgets: carbon storage, water provision, food provision and soil conservation from 2000 to 2015. Through the geodetector model, canonical analysis and Multiscale Geographically Weighted Regression (MGWR) model, the drivers of the ES supply-demand budget were explored. The results showed that the areas supplying high amounts of ESs in the northern region usually did not overlap those areas consuming intensive ESs, which were mainly distributed in metropolitan areas. The anthropological factors, including per capita gross domestic product (Per.GDP) and population density (POP.Den), were the dominant influencing factors for the imbalance between the supply and demand of carbon storage, water provision and food provision, which were mainly distributed in the central and southern regions of the study area. Geomorphological factors (ELE and SLO) were the key driving factors of soil conservation, which was mainly distributed in the eastern regions. In all, our findings could provide comprehensive information for decision-making and ES management.

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Dynamic Analysis of Supply and Demand Coupling of Ecosystem Services in Loess Hilly Region: A Case Study of Lanzhou, China

Cited by 33 publications

References 58 publications

Measuring the Relationship between Physical Geographic Features and the Constraints on Ecosystem Services from Urbanization Development

Measuring the Relationship between Physical Geographic Features and the Constraints on Ecosystem Services from Urbanization Development

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

Drivers of spatiotemporal disparities in the supply-demand budget of ecosystem services: A case study in the Beijing-Tianjin-Hebei urban agglomeration, China

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