Spatially heterogeneity response of ecosystem services supply and demand to urbanization in China

2021 ◽  
Vol 169 ◽  
pp. 106303
Author(s):  
Zhenzhen Pan ◽  
Jianwei Wang
2019 ◽  
Vol 12 (1) ◽  
pp. 295 ◽  
Author(s):  
Bin Fu ◽  
Pei Xu ◽  
Yukuan Wang ◽  
Yingman Guo

Ecological management based on the ecosystem approach promotes ecological protection and the sustainable use of natural resources. We developed a quantitative approach to identify the ecological function zones at the country-scale, through integrating supply and demand of ecosystem services. We selected the biologically diverse hotspot of Baoxing County, which forms a part of the Sichuan Giant Panda World Heritage Site, to explore the integration of ecosystem services supply and demand for ecosystem management. Specifically, we assessed the various support, provision, regulating, and cultural services as classified by the Millennium Ecosystem Assessment. We applied the InVEST (Integrated Valuation of Ecosystem Services and Trade-offs) model to spatially map habitat quality, water retention, and carbon sinks, and used statistical data to evaluate food products, animal husbandry, and product supply services. We then quantified the demands for these services in terms of population, protected species, hydropower, water, and land use. The relationship between areas of supply and areas of demand was discussed for each township, and the spatial variability in the supply–demand relationship was also considered. As a result, we spatially divided the county into six ecological functional areas, and the linkages between each region were comprehensively discussed. This study thus provides a detailed methodology for the successful implementation of an ecosystem management framework on a county-scale based on the spatial partitioning of supply and demand.


Land ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 582
Author(s):  
Peng Tian ◽  
Jialin Li ◽  
Luodan Cao ◽  
Ruiliang Pu ◽  
Hongbo Gong ◽  
...  

Ecosystem services (ESs) is a term used to describe the foundations of the well-being of human society, and several relevant studies have been carried out in this area. However, given the fact that the complex trade-offs/synergy relationships of ESs are a challenging area, studies on matching mechanisms for ES supply and demand are still rare. In this study, using the InVEST model, ArcGIS, and other professional tools, we first mapped and quantitatively evaluated the supply and demand of five ES types (water yield, soil conservation, carbon retention, food supply, and leisure and entertainment) in Hangzhou, China, based on land use, meteorology, soil, and socio-economic data. Then, we analyzed the matching characteristics between the supply and demand of these ESs and analyzed the complex trade-offs and synergy between the supply and demand of ESs and factors affecting ESs. The results of this analysis indicate that although the ES supply and demand of carbon retention tended to be out of balance (supply was less than demand), the supply and demand of the other four ES types (i.e., water yield, soil conservation, food supply, and leisure and entertainment) were in balance (supply exceeded demand). Finally, the spatial heterogeneity of the supply and demand of ESs in Hangzhou was significant, especially in urban areas in the northeast and mountainous areas in the southwest. The supply of ESs was based on trade-offs, whereas the demand of ESs was based on synergy. Our results further show that the supply and demand of ESs in the urban area in Hangzhou were out of balance, whereas the supply and demand of ESs in the western region were coordinated. Therefore, the linkage of ES flows between this urban area and the western region should be strengthened. This innovative study could provide useful information for regional land use planning and environmental protection.


2019 ◽  
Vol 11 (22) ◽  
pp. 6416 ◽  
Author(s):  
Ouyang ◽  
Wang ◽  
Zhu

Coordinating ecosystem service supply and demand equilibrium and utilizing machine learning to dynamically construct an ecological security pattern (ESP) can help better understand the impact of urban development on ecological processes, which can be used as a theoretical reference in coupling economic growth and environmental protection. Here, the ESP of the Changsha–Zhuzhou–Xiangtan urban agglomeration was constructed, which made use of the Bayesian network model to dynamically identify the ecological sources. The ecological corridor and ecological strategy points were identified using the minimum cumulative resistance model and circuit theory. The ESP was constructed by combining seven ecological sources, “two horizontal and three vertical” ecological corridors, and 37 ecological strategy points. Our results found spatial decoupling between the supply and demand of ecosystem services (ES) and the degradation in areas with high demand for ES. The ecological sources and ecological corridors of the urban agglomeration were mainly situated in forestlands and water areas. The terrestrial ecological corridor was distributed along the outer periphery of the urban agglomeration, while the aquatic ecological corridor ran from north to south throughout the entire region. The ecological strategic points were mainly concentrated along the boundaries of the built-up area and the intersection between construction land and ecological land. Finally, the ecological sources were found primarily on existing ecological protection zones, which supports the usefulness of machine learning in predicting ecological sources and may provide new insights in developing urban ESP.


Author(s):  
B. Li ◽  
F. Huang ◽  
S. Chang ◽  
H. Qi ◽  
H. Zhai

Indentifying the spatio-temporal patterns of ecosystem services supply and demand and the driving forces is of great significance to the regional ecological security and sustainable socio-economic development. Due to long term and high-intensity development, the ecological environment in central and southern Liaoning urban agglomerations has been greatly destroyed thereafter has restricted sustainable development in this region. Based on Landsat ETM and OLI images, land use of this urban agglomeration in 2005, 2010 and 2015 was extracted. The integrative index of multiple-ecosystem services (IMES) was used to quantify the supply (IMESs), demand (IMESd) and balance (IMESb) of multiple-ecosystem services, The spatial patterns of ecosystem services and its dynamics for the period of 2005–2015 were revealed. The multiple regression and stepwise regression analysis were used to explore relationships between ecosystem services and socioeconomic factors. The results showed that the IMESs of the region increased by 2.93 %, whereas IMESd dropped 38 %. The undersupplied area was reduced to 2. The IMESs and IMESb were mainly negatively correlated with gross domestic product (GDP), population density, foreign investment and industrial output, while GDP per capita and the number of teachers had significant positive impacts on ecosystem services supply. The positive correlation between IMESd and GDP, population density and foreign investment were found. The ecosystem services models were established. Supply and balance of multiple-ecosystem services were positively correlated with population density, but the demand was the opposite. The results can provide some reference value for the coordinately economic and ecological development in the study area.


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