Response of Ecological Quality to Land Use/Cover Change During Rapid Urbanization of Xiong’an New Area DOI Creative Commons
Qi Sun,

Ruitong Qiao,

Quanjun Jiao

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2167 - 2167

Published: Dec. 13, 2024

Rapid urbanization facilitates socioeconomic development but also exacerbates land use/cover change (LUCC), significantly impacting ecological environments. Timely, objective, and quantitative assessments of quality changes resulting from LUCC are essential for safeguarding the natural environment managing resources. However, limited research has explored potential interrelationships between spatio-temporal heterogeneity during urbanization. This study focuses on Xiong’an New Area, a region experiencing rapid urbanization, utilizing remote sensing-based index (RSEI) to monitor dynamics 2017 2023. To address computational challenges associated with large-scale regions, streamlined RSEI construction method was developed using Landsat imagery implemented via Google Earth Engine (GEE). A geographically weighted regression (GWR) analysis, integrated Sentinel-2 use data, employed examine influence quality. The findings reveal following: (1) Ecological in Area exhibited an overall positive trajectory, improvements elevating status above moderate levels. (2) Urban expansion resulted 17% reduction farmland, primarily converted into land, which expanded by approximately 12%. (3) protection policies have facilitated conversion farmland wetlands urban green areas, emerged as principal contributors enhancement. (4) correlation observed quality, while negative identified shifts provides valuable scientific insights conservation management, thereby establishing foundation rational resource planning sustainable strategies Area.

Language: Английский

Characteristics of spatial and temporal changes in ecosystem service value and threshold effect in Henan along the Yellow River, China DOI Creative Commons
Yifan Zhao, Xiwang Zhang,

Qirui Wu

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112531 - 112531

Published: Aug. 27, 2024

• To take into account the negative influence of construction land on ESV. Combine with partial dependency analysis to effectively identify degree and trend each factor Quantitatively define sensitive areas ecosystem service value. Accurately vulnerable key nodes in ecosystem. Ecosystem services (ES), which serve as link between human activities natural ecosystems, are crucial for maintaining ecological balance supporting economic development. The Services Value (ESV) is an indicator used quantifying services. estimating dynamics ESV threshold effects influencing factors great importance sustainable development region. This study constructs valuation model based equivalent method, incorporating land, corrects initial results three dimensions. By constructing a random forest integrating dependence analysis, Elevation, Evapotranspiration, Normalized Difference Vegetation Index, proportion built-up area were identified significant determining ecologically within show that: (1) total Henan along Yellow River 2000, 2005, 2010, 2015, 2020 was 204.612 billion yuan, 249.775 239.100 234.868 yuan 202.767 respectively. overall change first growth then decline, spatial features remaining relatively stable, polarization becoming more pronounced. (2) clustering characteristics remarkable, cold hot spot bidirectional expansion trend. expand substantially around whilethe small western mountain vegetation River, but slower. (3) main affecting include one anthropogenic factor, namely evapotranspiration (ET), (POB), normalized index (NDVI) elevation (ELEV). at high level when ELEV>718 m, ET<90 mm, NDVI>0.7, POB<25.67 % approximately. can provide important theoretical basis comprehensive protection measures. Furthermore, they contribute Basin.

Language: Английский

Citations

5
Examining Ecology–Agriculture–Economy Nexus Shifts to Propose Win–Win–Win Pathways for Sustainable Development in Mountainous Areas: Insights From the Greenest City in China DOI Open Access
Ran Wang, Chong Jiang, Yixin Wang

et al.

Land Degradation and Development, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 22, 2025

ABSTRACT Ecosystem restoration projects (ERPs) are effective methods for reversing land degradation. However, the dynamic responses of ecology–agriculture–economy nexus to ERPs and socioeconomic development have yet be systematically analyzed. To address this issue, we adopted an ERP hotspot as a basis exploring evolution regimes sectoral variables their determinants. facilitated vegetation strengthened carbon sequestration soil retention, whereas grain productivity declined sharply since 2000 because industrial planting structure adjustments. Economic growth was accompanied by marked transformation; dominant role primary industry gradually replaced that other industries, with population employment structures changing accordingly. Rural loss weakened agricultural production capacity, promotion economic crops further degrading crops. Such shifts indicated positive progress in ecological sectors should optimized reserve sufficient space development, instead relying solely on expanding afforestation areas. Notably, temporary synergic co‐evolution from 2008 2022 is not stable low self‐sufficiency ratio, which might threaten sustainability social‐ecological systems. Therefore, efficiency must improved through large‐scale improvements conditions sustain supply. The perspective enriches our understanding interlinkages among different phases, facilitating formulation coordinated strategies regional sustainable development.

Language: Английский

Citations

0
Nutrient production, water consumption, and stresses of large-scale versus small-scale agriculture: A global comparative analysis based on a gridded crop model DOI Creative Commons
Han Su, Timothy Foster, Rick J. Hogeboom

et al.

Global Food Security, Journal Year: 2025, Volume and Issue: 45, P. 100844 - 100844

Published: March 13, 2025

Language: Английский

Citations

0
Travel patterns and spatial structure: understanding winter tourism by trajectory data mining DOI

Jun Liu,

Jiaqi Chen, Rob Law

et al.

Asia Pacific Journal of Tourism Research, Journal Year: 2024, Volume and Issue: 29(11), P. 1351 - 1368

Published: Sept. 11, 2024

Language: Английский

Citations

3
Response of Ecological Quality to Land Use/Cover Change During Rapid Urbanization of Xiong’an New Area DOI Creative Commons
Qi Sun,

Ruitong Qiao,

Quanjun Jiao

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2167 - 2167

Published: Dec. 13, 2024

Rapid urbanization facilitates socioeconomic development but also exacerbates land use/cover change (LUCC), significantly impacting ecological environments. Timely, objective, and quantitative assessments of quality changes resulting from LUCC are essential for safeguarding the natural environment managing resources. However, limited research has explored potential interrelationships between spatio-temporal heterogeneity during urbanization. This study focuses on Xiong’an New Area, a region experiencing rapid urbanization, utilizing remote sensing-based index (RSEI) to monitor dynamics 2017 2023. To address computational challenges associated with large-scale regions, streamlined RSEI construction method was developed using Landsat imagery implemented via Google Earth Engine (GEE). A geographically weighted regression (GWR) analysis, integrated Sentinel-2 use data, employed examine influence quality. The findings reveal following: (1) Ecological in Area exhibited an overall positive trajectory, improvements elevating status above moderate levels. (2) Urban expansion resulted 17% reduction farmland, primarily converted into land, which expanded by approximately 12%. (3) protection policies have facilitated conversion farmland wetlands urban green areas, emerged as principal contributors enhancement. (4) correlation observed quality, while negative identified shifts provides valuable scientific insights conservation management, thereby establishing foundation rational resource planning sustainable strategies Area.

Language: Английский

Citations

0