How does rapid urban construction land expansion affect the spatial inequalities of ecosystem health in China? Evidence from the country, economic regions and urban agglomerations

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 106, P. 107533 - 107533

Published: May 1, 2024

Language: Английский

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Spatiotemporal analysis of ecosystem services and the impact of new-type urbanization: A case study of Chengdu, China

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113191 - 113191

Published: Feb. 1, 2025

Language: Английский

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Multiscale characteristics of ecosystem service value trade-offs/synergies and their response to landscape pattern evolution in a typical karst basin in southern China

Ecological Informatics, Journal Year: 2024, Volume and Issue: 81, P. 102584 - 102584

Published: April 6, 2024

The study of ecosystem service value (ESV) response to landscape pattern evolution has become a research hotspot in the fields geography and ecology, however, multi-scale mechanism ESV change Karst region is still unclear, which some extent restricts precise regulation regional ecosystems multi-level human-land coupling coordination. This focuses on Nanming River Basin (NMRB) Guizhou Province, representative karst basin southern China. Using various methods such as an equivalent factor, index, optimal parameter geo-detector(OPGD), we calculated ESVs, explored spatial temporal from 2000 2020, scientifically analyzed ESVs at sub-watershed scale (27 124 sub-watersheds) grid (2.4 km × 2.4 1.2 grids), respectively. results revealed that synergies have been dominant relationship between NMRB since beginning 21st century. At sub-basin scale, shape index (LSI) (21–43%) coefficient variation (SHAPE_CV) (20–35%) were main drivers geographical differentiation trade-offs/synergies among with few attenuation effect types weakened geographic differentiation. However, two-factor enhancement nonlinear exception. patch cohesion (COHESION) (4–49%) contiguity (CONTIG_MN) (15–39%) divergence trade-offs/synergies, factor interactions divergence. COHESION (3%–21%) LSI (4%–13%) became primary influences divergence, no independence or type interactions. are crucial for optimising services formulating appropriate strategies coordinating ecological-economic development regions China around world.

Language: Английский

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Spatial scale effects on the value of ecosystem services in China's terrestrial area

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 366, P. 121745 - 121745

Published: July 10, 2024

Language: Английский

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Spatial heterogeneity of ecosystem service bundles and the driving factors in the Beijing-Tianjin-Hebei region

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144006 - 144006

Published: Oct. 1, 2024

Language: Английский

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Multi-scenario prediction of ecosystem services value and mechanism of its trade-offs under the township scale—evidence from Liaoning province

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(2)

Published: Jan. 29, 2025

Language: Английский

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Multi-Scenario Simulation of Ecosystem Service Value in Beijing’s Green Belts Based on PLUS Model

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 408 - 408

Published: Feb. 16, 2025

Urbanization and economic growth have substantially modified the land utilization structure, affecting ecosystem services their spatial distribution. As a crucial component of Beijing’s urban framework, city’s green belts, located at periphery its core metropolitan area, play vital role in supplying services. They also represent focal point for use transformation conflicts, making them an important study area. This research utilizes data from 2000, 2005, 2010, 2015, 2020 as primary dataset. It adopts standard equivalent factor integrates it with Patch-Generaling Land Use Simulation (PLUS) model to belts 2035 under three scenarios: natural development scenario (NDS), ecological protection (EPS) cultivated (CPS). The aims analyze project temporal evolution service values (ESVs) different scenarios Beijing. results indicate that (1) is dominated by cropland construction land. Construction has expanded significantly since increasing 500.78 km2, while decreased 488.47 km2. Woodland, grassland, water seen reduction. Overall, there trend woodland being converted into cropland, subsequently transitioning (2) In NDS, increases 91.76 decrease. EDS, decelerates 22.09 reduction decelerates, conversion limited. Grassland remain largely unchanged, experiences slight increase. CPS, notably reduced, 11.97 slightly, grassland decreasing slightly. (3) ESV ranking across follows: EPS 1830.72 mln yuan > CPS 1816.23 NDS 1723.28 yuan. Hydrological regulation climate are dominant all scenarios. attains greatest gains. contributes understanding effects changes on ESV, offering valuable empirical evidence sustainable decision-making swiftly urbanizing areas.

Language: Английский

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Optimizing spatial patterns of ecosystem services in the Chang-Ji-Tu region (China) through Bayesian Belief Network and multi-scenario land use simulation

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 917, P. 170424 - 170424

Published: Jan. 28, 2024

Language: Английский

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Improving grassland ecosystem services for human wellbeing in the karst desertification control area: Anthropogenic factors become more important

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 946, P. 174199 - 174199

Published: June 24, 2024

Language: Английский

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Assessment and Management Zoning of Ecosystem Service Trade-Off/Synergy Based on the Social–Ecological Balance: A Case of the Chang-Zhu-Tan Metropolitan Area

Land, Journal Year: 2024, Volume and Issue: 13(2), P. 127 - 127

Published: Jan. 23, 2024

Clarifying the trade-offs/synergies of ecosystem services is crucial for achieving a win-win situation in economic development and ecological conservation. Past studies have lacked research on service functional management zones that integrate socio-economic factors conservation, particularly based predictive scenarios. Based above, this study innovatively established multi scenario simulation model framework (EST-EMZ) (ES) trade-off/synergy zoning, combining remote sensing data from 2000 to 2020 Chang-Zhu-Tan Metropolitan Area (CZTMA). The evaluates dynamic among different under various scenarios, aiming seek optimal approach enhancing functionality optimizing structure ESs future CZTMA. results indicate following: (1) From 2020, Ecosystem Service Value (ESV) CZTMA gradually declined 601.57 billion yuan 584.65 yuan. Under three ESV also decreased, with Ecological Conservation Scenario (ECS) experiencing most minor decline, Economic Priority (EPS) witnessing substantial decrease. (2) In historical period 2030 predicted there predominant synergy paired Throughout period, region’s dominant bundle (ESB) high-service regulation bundle, primarily located northeastern, western, southern areas dominated by forests. (3) urbanization intensity (UI), five were identified: water balance zone (WBZ), coordinated improvement (CIZ), ecologically weak (EWZ), conservation (ECZ), derivative (EDZ). Corresponding protection strategies proposed. findings offer potential solutions land use managing trade-offs metropolitan areas.

Language: Английский

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