The spatial–temporal evolution and influencing factors of the coupling coordination of new-type urbanization and ecosystem services value in the Yellow River Basin

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112300 - 112300

Published: July 3, 2024

Language: Английский

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Impact of land-use change on ecological vulnerability in the Yellow River Basin based on a complex network model

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112212 - 112212

Published: June 16, 2024

Language: Английский

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Analysis of Coupled Coordination and Driving Factors of Urbanization, Ecosystem Services, and Human Well-Being in the High and Coarse Sediment Yield in the Middle Yellow River

Land, Journal Year: 2025, Volume and Issue: 14(1), P. 100 - 100

Published: Jan. 7, 2025

The ecological and social problems brought about by China’s rapid urbanization process threaten sustainable development. Taking the cities with high coarse sediment yield in middle reaches of Yellow River as research objects, this study constructed a complex analytical framework composed urbanization, ecosystem service value (ESV), human well-being (HBW) subsystems. equivalent factor method (EFM) was used to evaluate ESV. entropy weight (EWM) comprehensive nighttime light index (CNLI) were adopted assess level well-being. Then, coupled coordination degree (CCD) grey relational modes developed reveal major obstacles synergistic results showed that, from 2000 2020, ESV, HWB increased. average CCD grew 0.34 0.56, higher levels northeast south. coordinated development is influenced multiple factors, intensity driving factors decreasing order industrial structure, population quality, economic drive, government regulation, scientific technological support. indicate that it essential formulate differentiated regionally strategies establish cross-regional cooperation mechanisms achieve interactive urban development, protection, improvements River.

Language: Английский

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Spatiotemporal Changes and Trade-Offs/Synergies of Ecosystem Services in the Qin-Mang River Basin

ISPRS International Journal of Geo-Information, Journal Year: 2025, Volume and Issue: 14(1), P. 37 - 37

Published: Jan. 19, 2025

The Qin-Mang River Basin is an important biodiversity conservation area in the Yellow Basin. Studying spatiotemporal changes its ecosystem services (ESs) and trade-offs synergies (TOSs) between them crucial for regional ecological protection high-quality development. This study, based on land use type (LUT), meteorological soil data from 1992 to 2022, combined with InVEST model, correlation analysis, spatial autocorrelation explores impacts of use/land cover (LUCCs) ESs. results show that: (1) driven by urbanization economic development, expansion built-up areas has replaced cultivated forests, 35,000 hectares farmland lost, thereby increasing pressure ESs; (2) ESs overall downward trend, habitat quality (HQ) deteriorated, carbon storage (CS) remains stable but low CS expanded, sediment delivery ratio (SDR) water yield (WY) fluctuate due human activities climate influence; (3) TOSs change dynamically, strong among HQ, CS, SDR. However, scarcity, negative HQ WY strengthened; (4) analysis reveals that 1992, significant positive existed northern northwestern regions, negatively correlated other services. By accelerated intensified trade-off effects southern eastern leading degradation. study provides scientific support sustainable management policymaking watershed ecosystems.

Language: Английский

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Study on the effects of land use transformation on habitat quality and its driving mechanisms: a case study of the Qin-Mang River Basin

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: Jan. 29, 2025

Habitat quality (HQ) is a critical factor for regional ecosystem health and sustainable development, as well an important basis formulating ecological protection land-use planning. The Qin-Mang River Basin, integral part of the biodiversity conservation area in Yellow plays significant role maintaining balance stability ecosystem. This study based on land use/land cover changes (LUCC) data from 1992, 2002, 2012, 2022. It employs use transfer matrix to analyze dynamic trends patterns LUCC. HQ are evaluated using InVEST model, GeoDetector model used identify key driving factors their interactions. Additionally, spatial autocorrelation analysis applied explore clustering characteristics HQ. results indicate that between 1992 2022, cumulative exceeded 600 km 2 , primarily characterized by conversion cultivated built-up areas. index decreased 0.3409 0.2896 with increase heterogeneity. Altitude, vegetation coverage, temperature, precipitation, slope main influencing HQ, natural dominating, but human activities gradually playing increasingly role. Furthermore, exhibits characteristics, hotspot coldspot areas providing scientific evidence restoration measures. To improve it recommended strictly enforce red lines, control expansion areas, compensation mechanisms, promote measures such returning farmland forest grassland.

Language: Английский

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Landscape connectivity significantly influences the spatial spillover effects of soil erosion: Based on examples from typical karst watersheds

Ecological Indicators, Journal Year: 2025, Volume and Issue: 173, P. 113373 - 113373

Published: March 23, 2025

Language: Английский

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The Coupling Coordination Relationship Between Urbanization and Ecosystem Health in the Yellow River Basin: A Spatial Heterogeneity Perspective

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 801 - 801

Published: April 8, 2025

Understanding the socioecological nexus between urbanization and ecosystem health (EH) is crucial for formulating sustainable development policies. While prior research has focused on this topic, critical gaps persist in characterizing distributional polarization decomposing inequality drivers within coupled human–environment systems—particularly China’s Yellow River Basin (YRB), a strategic region undergoing concurrent ecological restoration urbanization. The integration of kernel density estimation Theil index establishes robust analytical framework to effectively overcome spatial heterogeneity limitations regional disparity research. Therefore, study combines coupling coordination degree (CCD), nonparametric estimation, decomposition examine complex interactions (EHI) across 538 county-level units from perspective heterogeneity. key findings reveal following: (1) Urbanization exhibited phased enhancement yet maintained elementary developmental stages overall, with distinct gradient descending eastern/central riparian counties western hinterlands. (2) EHI showed marginal upward trend, 80.29% persisted suboptimal categories (EHI-1 EHI-3), gains concentrated high-vegetation mountainous areas (45.72%) versus declines economically developed areas. (3) CCD evolved mild imbalance (II-1) low (III-1) but significant special differences—the midstream downstream improved markedly, while upstream remained weakest. (4) Intragroup disparities, particularly among middle reaches, were primary disequilibrium YRB, contributing 87.9% overall inequality. In contrast, regions improvements levels, accompanied by emergence “multi-polarization” patterns. provide refined differentiated decision-making references narrowing gap coordinated YRB.

Language: Английский

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Evaluation of Ecosystem Service Capacity Using the Integrated Ecosystem Services Index at Optimal Scale in Central Yunnan, China

Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(4)

Published: April 1, 2025

Understanding and quantifying the dynamic features of local ecosystem services (ESs) integrating diverse assessment results form crucial foundations for regional ES management. However, existing methods objectively evaluating multiple ESs remain limited. Consequently, this research evaluates four key based on InVEST RUSLE models in Central Yunnan Province (CYP)-from 2000 to 2020: water yield (WY), carbon storage (CS), habitat quality (HQ), soil conservation (SC). It then constructs an Integrated Ecosystem Service Index (IESI) using principal component analysis (PCA). Additionally, study explores factors driving spatial divergence by employing optimal parameter-based geographical detector model (OPGD) at scale. The indicated that (1) IESI was effectively applied CYP could quantitatively comprehensively integrate ESs. (2) During period, showed increasing trends WY, HQ, SC, while CS a decreasing trend. (3) during period exhibited trend initially increasing. average values were 0.7338 2000, 0.6981 2005, 0.6947 2010, 0.6650 2015, 0.6992 2020. (4) A 4500 m × grid identified as scale detecting comprehensive service (CES) CYP, relief degree land surface (RDLS), slope, NDVI top three drivers q-values. This offers more scientific effective method CES. also provides analytical tool balancing use competition assessing effectiveness policy implementation.

Language: Английский

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Research on Soil Heavy Metals Pollution in Major Mineral and Grain Production Composite Areas: Status - Sources - Early Warning

Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 116805 - 116805

Published: April 1, 2025

Language: Английский

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Integrated ecosystem service assessment under climate change based on a comprehensive index

Theoretical and Applied Climatology, Journal Year: 2025, Volume and Issue: 156(5)

Published: April 30, 2025

Language: Английский

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