An ecological perspective for understanding regional integration based on ecosystem service budgets, bundles, and flows: A case study of the Jinan metropolitan area in China

Li, Kai; Hou, Ying; Andersen, Peter S.; Xin, Ruhong; Rong, Yiming; Skov-Petersen, Hans

doi:10.1016/j.jenvman.2021.114371

Cited by 58 publications

(20 citation statements)

References 71 publications

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“…While the InVEST model provides good estimates of regional water production, soil conservation, carbon sequestration and oxygen production, and habitat quality, the simplicity of the model and the lack of extensive observational data [ 54 ] add to the uncertainty of the study results [ 58 ]. Therefore, future research should strengthen the observation and verification of field test data, and use the measured experimental data to calibrate the model parameters to obtain greater confidence in the quantitative output [ 59 ], and further verify the model output.…”

Section: Discussionmentioning

confidence: 99%

Scales and Historical Evolution: Methods to Reveal the Relationships between Ecosystem Service Bundles and Socio-Ecological Drivers—A Case Study of Dalian City, China

Yan

Liu

et al. 2022

IJERPH

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Ecosystem service (ES) bundles can be defined as the temporal and spatial co-occurrence of ESs. ES bundles are jointly driven by socio-ecological factors and form at different scales. However, in recent research, a few studies have analyzed the dynamic evolution and driving mechanisms of ES bundles at different scales. Therefore, this study explored the spatial patterns of six ESs supplied in Dalian (China) from 2005 to 2015 at three spatial scales, determining the distribution and evolution patterns of ES bundles and their responses to socio-ecological driving factors. Our results are as follows: (1) We identified four ES bundles representing ecological conservation, water conservation, ecological depletion, and food supply. The developmental trajectory of each ES bundle could be attributed to the combined effects of environmental conditions and urban expansion. In particular, the water conservation bundle and food supply bundle were changed to the ecological depletion bundle. Given the ongoing urbanization, the conflict between ESs has intensified. (2) The impact of socio-ecological driving factors on ES bundles vary with scale. At three spatial scales, the digital elevation model (DEM) and normalized difference vegetation index (NDVI) had a great impact on ES bundles. Urbanization indicators also strongly explain the spatial distribution of ES bundles at the county and grid scales. The interaction factor detector shows that there is no combination of mutual weakening, indicating that the formation of ES bundles is driven by multiple factors in Dalian. Overall, this study used a more holistic approach to manage the ecosystem by studying the temporal-spatial dynamics of the multiple ESs.

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Section: Discussionmentioning

confidence: 99%

Scales and Historical Evolution: Methods to Reveal the Relationships between Ecosystem Service Bundles and Socio-Ecological Drivers—A Case Study of Dalian City, China

Yan

Liu

et al. 2022

IJERPH

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“…A unified conceptual framework, or a comprehensive evaluation index system for regional integration, has not been yet formed, and the calculation of the level of regional integration is also still in the preliminary exploration stage. Most scholars have only focused on the specific external performance of regional integration, and they have measured the level of regional integration by calculating economic integration, market integration, spatial integration, or transportation integration [4,[6][7][8][9][10]. In fact, as a special form of spatial and regional evolution, regional integration is also a process of horizontal development and in-depth promotion.…”

Section: Explanatory Variable: Regional Integrationmentioning

confidence: 99%

“…On the one hand, regional integration can accelerate the factors flow and optimize the industrial layout. This, in turn, will generate different energy consumption and pollutant emission requirements, thereby changing the UGDE [8][9][10][11]. On the other hand, changes in government governance behaviors in regional integration, such as pollution control and urban planning [9,12,13], will help improve the UGDE.…”

Section: Introductionmentioning

confidence: 99%

How Regional Integration Affects Urban Green Development Efficiency: Evidence from Urban Agglomeration in the Middle Reaches of the Yangtze River

Wang

Zhang

et al. 2022

IJERPH

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Unlocking the relationship between regional integration and urban green development efficiency (UGDE) is of great importance for boosting regional high-quality development and promoting sustainable urban development patterns. Although studies have analyzed the spatio-temporal evolution and influencing factors of regional integration and UGDE, the impact of regional integration on UGDE remains untested. In this paper, we construct a conceptual framework to analyze how regional integration can influence UGDE through promoting the factors mobility and optimizing the industrial layout. In addition, we further choose the urban agglomeration in the middle reaches of the Yangtze River (UAMRYR), a rapidly growing urban agglomeration in central China, as a case to investigate the spatial spillover effect of regional integration on UGDE from 2003 to 2017. We quantify the UGDE with a random forest model, then estimate the underlying determinants of the UGDE with a spatial Durbin model. Results indicated that (1) the regional integration level and the UGDE index of the UAMRYR and its three sub-urban agglomerations show an increasing trend; (2) for every 1% increase in the level of regional integration, the level of UGDE will increase by 0.8307%; (3) the impact of regional integration on UGDE has obvious regional heterogeneity; while playing a promoting effect in the Wuhan urban agglomeration and the Changsha-Zhuzhou-Xiangtan urban agglomeration, it shows an inhibitory effect in the Poyang Lake urban agglomeration. We conclude that regional integration in agglomeration areas can accelerate the factors flow and optimize the industrial layout for improving UGDE.

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“…For example, Zoderer et al (2019) investigated social perceptions to represent the demand side in ES bundles. Li et al (2022) quanti ed ES supply-demand budget bundles for the Jinan metropolitan area in China. Baro et al (2017) analyzed the ES supply-demand bundles along the urbanization gradient of Barcelona.…”

Section: Introductionmentioning

confidence: 99%

“…It can encourage consideration of the multiple tradeoffs and synergies involved in landscape management decisions(Mouchet et al, 2014). ES supply-demand bundle studies differ from the traditional ES supply bundle studies in that they are more conducive to helping design landscape management strategies by combining multiple ES supplies with ES demands(Li et al, 2022). ES supply-demand bundle studies also differ from the widely studied ES supply-demand mismatch.…”

mentioning

confidence: 99%

Mapping ecosystem service supply-demand bundles for an integrated analysis of tradeoffs in an urban agglomeration of China

Zhong

Fang

Shu

et al. 2022

Preprint

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Ecosystem service (ES) bundles are widely used approaches to analyze ES tradeoffs in urban agglomeration. However, few ES bundle studies considered both the supply and demand side. The objective of this study was to map ES supply-demand bundles to comprehensively analyze the ES tradeoffs in the Yangtze River Delta by using cluster analysis, correlation analysis, hotspots analysis, and principal component analysis. We found that: (1) Both the supply and demand of ES are unevenly distributed with highly spatial autocorrelation. (2) Significant tradeoffs and synergies between ES in terms of supply-supply, demand-demand, and supply-demand. (3) Four ES supply-demand bundle types were identified with distinct ES supply and demand relationships. (4) Land use types, urban intensity, and climatic factors are the main social-ecological factors that distinguish the four identified clusters. The identified ES supply-demand clusters can support the main functional zoning of the Yangtze River Delta. Our results also suggest that “land sharing” is a more appropriate approach for the sustainable development of the Yangtze River Delta considering the balance of multiple ES supply and ES demand.

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An ecological perspective for understanding regional integration based on ecosystem service budgets, bundles, and flows: A case study of the Jinan metropolitan area in China

Cited by 58 publications

References 71 publications

Scales and Historical Evolution: Methods to Reveal the Relationships between Ecosystem Service Bundles and Socio-Ecological Drivers—A Case Study of Dalian City, China

Scales and Historical Evolution: Methods to Reveal the Relationships between Ecosystem Service Bundles and Socio-Ecological Drivers—A Case Study of Dalian City, China

How Regional Integration Affects Urban Green Development Efficiency: Evidence from Urban Agglomeration in the Middle Reaches of the Yangtze River

Mapping ecosystem service supply-demand bundles for an integrated analysis of tradeoffs in an urban agglomeration of China

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