Identifying and setting the natural spaces priority based on the multi-ecosystem services capacity index

Shen, Junjun; Guo, Xiaolu; Wang, Yuncai

doi:10.1016/j.ecolind.2021.107473

Cited by 27 publications

(13 citation statements)

References 75 publications

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“…A methodology framework for assessing the ES supply-demand which is suitable for rapidly urbanized suburban areas around metropolises or sites with complex land-water environments is shown in Figure 2, and three main steps were identified. Considering the environmental characteristics, the core ecological risks, and relevant literature of the study area (Xu et al, 2017;Shen et al, 2021), we selected four main categories of ESs and 10 quantitative evaluation models so that services of supply and demand can correspond. The second step was to construct correction models based on the spatial heterogeneity of the waterside environment and socio-economic elements, so that the results of the ES supply and demand evaluation could be more compatible with the regional characteristics.…”

Section: Methodology Framework For Ecosystem Service Assessmentmentioning

confidence: 99%

“…The study area located in the Middle-Lower Yangtze River Plain without a coastline is less sensitive to sandstorms and erosion which might lead to soil loss, and is not closely related to the ESs of wind prevention and sand fixation, coastal protection. Therefore, based on the characteristics of the regional ecological environment and the existing studies (Yu et al, 2020;Shen et al, 2021), we constructed the assessment framework for quantitative calculation with four ES categories and 10 individual indicators, including water supply (supply), food production (supply), water consumption (demand), and food consumption (demand) in the provisioning services, soil retention (supply) and soil erosion 2.…”

Section: Quantifying the Supply And Demand Of The Individual Ecosyste...mentioning

confidence: 99%

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Mapping and assessing ecosystem service supply–demand to identify critical areas: A case study of a waterside area in Shanghai metropolitan area

Wei

et al. 2022

Front. Earth Sci.

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In the past decades, rapid urbanization in China has dramatically transformed natural spaces into construction land, leading to serious degradation and supply–demand imbalance of ecosystem services (ESs). The identification of critical areas and ecological security patterns is crucial for balancing ESs and improving human well-being in rapidly urbanized regions. The purpose of this study was to establish a comprehensive assessment framework of ES supply–demand including provisioning, regulating, supporting, and cultural services, so as to provide theoretical support for the identification and refined management of regional critical areas. Taking a typical waterside area in Shanghai metropolitan area as an example, based on multi-source data and ES quantitative models, we used ecological supply–demand ratio and bivariate local indicators of spatial association to quantify the relationship and matching patterns of ES supply–demand, then explored the identification, protection, and restoration of ecologically critical areas at the regional scale. The results showed that: 1) the ES supply–demand relationship in the study area was quantitatively determined. The ecological supply–demand ratio was as follows: regulating > provisioning > supporting > cultural, in which the supply of supporting and cultural services was less than the demand, and the problem of the supply–demand mismatch is prominent; 2) we have identified 41 supply critical areas that require priority protection, with a total area of 206.79 km2 accounting for 9.65% of the total study area, showing a spatial pattern of more in the northwest and less in the southeast; 3) a total of 11 demand critical areas that need ecological restoration were identified, accounting for 31.43% of the 35 administrative towns in the study area, which are mainly distributed around three urban centers and a high-tech zone. The study is of great significance for the construction of regional ecological security patterns and rational ES allocation, and can provide a scientific framework for the ecological protection and restoration of critical areas around metropolises in developing countries.

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Section: Methodology Framework For Ecosystem Service Assessmentmentioning

confidence: 99%

Section: Quantifying the Supply And Demand Of The Individual Ecosyste...mentioning

confidence: 99%

Mapping and assessing ecosystem service supply–demand to identify critical areas: A case study of a waterside area in Shanghai metropolitan area

Wei

et al. 2022

Front. Earth Sci.

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“…We directly used a coupling evaluation model constructed in our former work [61] to assess the multiple ecosystem services provided by linear water spaces at various levels, which provide multiple ESs that have synergetic effects. The model was based on the assumption that if the multiple ESs provided by an ecological space have synergetic effects with each other, then the overall effect of this ecological space that supplies these ESs is stronger than the direct superposition of the single ES supply [62,63].…”

Section: Coupling Evaluation Of Multiple Ecosystem Servicesmentioning

confidence: 99%

Identifying and Setting Linear Water Space Priorities in Co-Urbanized Area Based on Multiple Levels and Multiple Ecosystem Services

Shen

Wang

Guo

2021

Land

Self Cite

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Due to intense anthropogenic impacts, river networks in co-urbanized areas are severely degraded and fragmented, and their ability to supply multiple ecosystem services is greatly reduced. This study aimed to provide a novel technical approach to identify spatial priorities for complex and special linear water spaces in a co-urbanized area. This approach fully considers the features of river networks with multiple levels and multiple functions. We first identified two spatial configurations of river networks based on the river density: river cluster patches and river corridors, which were each divided into four spatial levels. We then assessed and mapped the multiple ecosystem services provided by each river level through a coupling evaluation model. Finally, based on the evaluation results and spatial clustering analysis, we identified priorities of linear water spaces using six priority grades. This priority identification method based on multiple levels and multiple ecosystem services of linear water spaces shows how a holistic catchment perspective can be applied to the practice of integrated river management in co-urbanized areas. Selecting conservation strategies for linear water spaces on the basis of their structural level and ecological contribution is a more targeted measure.

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“…Chinese scholars have laid a solid foundation in the priority areas of ecological restoration evaluation index systems (Xie et al, 2018; Shen et al, 2021), integrated methods (Andrea et al, 2019; Strassburg et al, 2022), and ecological security patterns (Peng et al, 2018; Fu et al, 2020). For example, Andrea et al (2019) employed quantitative methodologies to evaluate biodiversity using selected species and three ecosystem services (flood regulation, crop fertilization, and entertainment), in order to spatially prioritize river-floodplain sections for restoration.…”

Section: Introductionmentioning

confidence: 99%

Identifying Priority Areas for Ecological Restoration Based on GIS: A Case Study of Xiushui County, China

Hualin,

Meiqi,

Yafen

et al. 2023

Journal of Resources and Ecology

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Identifying and setting the natural spaces priority based on the multi-ecosystem services capacity index

Cited by 27 publications

References 75 publications

Mapping and assessing ecosystem service supply–demand to identify critical areas: A case study of a waterside area in Shanghai metropolitan area

Mapping and assessing ecosystem service supply–demand to identify critical areas: A case study of a waterside area in Shanghai metropolitan area

Identifying and Setting Linear Water Space Priorities in Co-Urbanized Area Based on Multiple Levels and Multiple Ecosystem Services

Identifying Priority Areas for Ecological Restoration Based on GIS: A Case Study of Xiushui County, China

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