A multi-scale assessment of ecosystem health based on the Pressure-State-Response framework: a case in the Middle Reaches of the Yangtze River Urban Agglomerations, China

Chen, Wanxu

doi:10.1007/s11356-021-17768-w

Cited by 25 publications

(3 citation statements)

References 64 publications

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“…Due to the scale dependence of ecosystem health indicators, different scales exhibit distinct properties [66]. This study conducted a hierarchical assessment of the ecosystem health of the Harbin-Changchun urban agglomeration at different scales (grid, districtcounty and city) in the years 2000, 2010 and 2020.…”

Section: Multi-scale Effects Of Ecosystem Healthmentioning

confidence: 99%

Multi-Scale Analysis of Spatial and Temporal Evolution of Ecosystem Health in the Harbin–Changchun Urban Agglomeration, China

Guo,

Xu,

et al. 2024

Sustainability

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Urban agglomerations represent the pinnacle of spatial organization for fully developed cities. Gaining insight into the ecosystem health status of urban agglomerations in various geographical and temporal settings is essential for the long-term sustainability of both humans and the environment. Nevertheless, current research overlooks the impacts of human activities on the well-being of ecosystems, along with the effects of scaling and their implications for ecological management policies and future urban growth plans. This study enhances and refines the classic model and establishes the Vigor Organization Resilience Services Human activities (VOR-SH) evaluation model to assess the ecosystem health of the Harbin–Changchun urban agglomeration on three scales. The results reveal that the changes in the five indicators of ecosystem health within the Harbin–Changchun urban agglomeration differed across three unique periods from 2000 to 2020. In particular, energy, organization and human activities increased, whereas resilience and ecosystem services decreased. On all three scales, the overall ratings for ecosystem health showed improvement. Multi-scale spatial autocorrelation showed strong positive spatial correlations between ecosystem health clusters in the studied area. Multi-scale review results help locate key regions on a grid scale, coordinate regional management at the district-county scale and monitor huge ecosystems at the city scale. This study improves the ecosystem health model and expands multi-scale regulatory theory. This study’s findings help guide urban expansion and environmental management.

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Section: Multi-scale Effects Of Ecosystem Healthmentioning

confidence: 99%

Multi-Scale Analysis of Spatial and Temporal Evolution of Ecosystem Health in the Harbin–Changchun Urban Agglomeration, China

Guo,

Xu,

et al. 2024

Sustainability

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“…At present, assessment index system method was widely used to evaluate the ecological health conditions, because it can comprehensively take into multiple factors and objectively reflect the overall situation of the evaluated watershed (Fan and Fang 2020). There are many frameworks for constructing an evaluation index system, such as the structure-function framework (Ogden et al 2019), pressure-state-response (PSR) (Jiao et al 2023) and its extended frameworks, driving force-pressure-state-impact-response (DPSIR) (Chen 2022), and ecosystem vigor-organization-resilienceservices (Peng et al 2015). Among various frameworks, PSR framework is the most comprehensive, effective, and highly recognized framework model for studying environmental issues nowadays (Hazbavi et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Fuzzy evaluation and obstacle factors of urban ecological health changes in the Wei River Basin, northwest China

Wu,

Gao,

Zhou

et al. 2024

Ecol Process

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Background Urban ecological health is crucial for the long-term sustainable development of watershed. Accurately evaluating the health level of the ecological environment helps to develop reasonable strategies for ecological environment restoration and resource management. This paper constructed a comprehensive evaluation index system based on the Pressure-State-Response (PSR) framework and evaluated the ecological health of eleven administrative regions in the Wei River Basin (WRB), northwest China in 1980, 2000, and 2020 using an evaluation model established by fuzzy mathematics. Further, obstacle degrees were used to quantify the contribution of pressure, state, and response modules, as well as individual indicators to ecological health. Results The comprehensive evaluation system constructed based on the PSR framework could effectively reflect the ecological health conditions of different regions in the WRB. During the study period, the ecological health went through a process of first deterioration and then improvement. By 2020, the ecological health of seven administrative regions reached healthy levels. The state module was the main obstacle module of the PSR framework to the ecological health of the most regions. The population density (P1), patch density of construction land (S5), comprehensive elasticity index (S8), soil erosion index (R1), and per capital GDP (R3) were the most crucial individual indicators affecting the ecological health. For different cities, the main obstacle factors varied. In economically developed cities, the limiting effect of P1 was more significant, while in economically underdeveloped cities, the limiting effect of R3 was stronger. Conclusions In response to the special natural environment and socio-economic conditions of arid and semi-arid areas in the WRB, an ecological health evaluation index system suitable for the characteristics of the basin was constructed. The results indicated that, to improve the levels of urban ecological health, it is necessary to restore the natural ecological environment and control population size while accelerating economic construction. Our results can provide scientific support for the ecological health evaluation and protection of the WRB and even the arid and semi-arid areas in northwest China.

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“…Common models for assessing ecosystem health by using the indicator system method include energy analysis [24], ecosystem vigor-organization-resilience (EVOR) [18,[25][26][27], vigororganization-resilience-service-function [28,29], pressure-state-response (PSR) [30][31][32][33][34], driving force-pressure-state-exposure-effect-action [35], and development level-service function-resistance of disturbance-maintenance models [36]. The PSR model was constructed by the Organization for Economic Cooperation and Development and is mainly used to reflect the causal relationship of the interaction between human beings and the ecosystem from the perspectives of pressure, status, and response [37][38][39]. However, when building the indicator system, the PSR model mostly relies on a subjective selection of assessment indicators, and ensuring the scientific nature of indicators is difficult [40].…”

Section: Introductionmentioning

confidence: 99%

Spatial Heterogeneity of Watershed Ecosystem Health and Identification of Its Influencing Factors in a Mountain–Hill–Plain Region, Henan Province, China

Wei

Han

et al. 2023

Remote Sensing

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A watershed ecosystem is a compound ecosystem composed of land and rivers, and its health is closely related to the sustainable development of the region it is located in. The Yihe River Basin (YRB) in central China’s Henan province, which is located in the north–south transition zone and has a mountain–hill–plain landscape from the upstream to the downstream, is adopted as the research area in this study. A watershed ecosystem health assessment system is constructed based on an ecosystem vigor–organization–resilience–service supply and demand harmony (EVORSH) framework and utilized to assess the ecosystem health in the YRB by taking a 3 km × 3 km grid as the evaluation unit. Thirteen factors are selected from natural and human social factors, and from them, the factors that influence watershed ecosystem health through the generation of spatial heterogeneity are identified using the geographical detector model. The following findings are obtained. (1) The mean value of ecosystem health levels in the YRB is 0.65 and at the good level. The ecosystem health has considerable spatial heterogeneity. The areas with high–high concentration are distributed in the mountains in the upper reaches of the YRB, and the areas with low–low concentration are mainly distributed in the plain areas in the middle reaches of the YRB. (2) The geographical detector result shows that 9 of 13 factors have a considerable impact on the spatial distribution of the YRB’s ecosystem health. The interaction between two factors is enhanced synergically. The decisive power of population density, rainfall, and potential evapotranspiration are more than 0.5, so these three are the main factors that influence the distribution of ecosystem health in the YRB. (3) The EVORSH framework is suitable for the measurement of ecosystem health in the YRB. The evaluation result is consistent with the actual situation in the YRB. A 3 km × 3 km grid is used as the basic research unit, and it can more accurately and scientifically express the spatial heterogeneity of ecosystem health in the YRB compared with the macro evaluation unit. This study can provide a scientific basis for ecological protection and high-quality development planning in the YRB. By integrating multi-dimensional data and methods, the EVORSH framework proposed in this study can quickly and scientifically assess the status of ecosystem health, identify the influencing factors of spatial heterogeneity, and could be applied in other similar watersheds.

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A multi-scale assessment of ecosystem health based on the Pressure-State-Response framework: a case in the Middle Reaches of the Yangtze River Urban Agglomerations, China

Cited by 25 publications

References 64 publications

Multi-Scale Analysis of Spatial and Temporal Evolution of Ecosystem Health in the Harbin–Changchun Urban Agglomeration, China

Multi-Scale Analysis of Spatial and Temporal Evolution of Ecosystem Health in the Harbin–Changchun Urban Agglomeration, China

Fuzzy evaluation and obstacle factors of urban ecological health changes in the Wei River Basin, northwest China

Spatial Heterogeneity of Watershed Ecosystem Health and Identification of Its Influencing Factors in a Mountain–Hill–Plain Region, Henan Province, China

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