Spatio-temporal interplay between ecosystem services and urbanization in the Yangtze River Economic Belt: A new perspective for considering the scarcity effect

Land Use Policy, Год журнала: 2024, Номер 147, С. 107358 - 107358

Опубликована: Сен. 13, 2024

Язык: Английский

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Impacts of environmental and socioeconomic factors on gross ecosystem product of the Three Gorges reservoir area, China

Land Degradation and Development, Год журнала: 2024, Номер 35(8), С. 2824 - 2839

Опубликована: Апрель 9, 2024

Abstract Environmental and socioeconomic drivers would alter landscapes, bringing various effects with different directions magnitudes. Demonstrating these driving is key to relieving the conflicts between territorial vegetation restoration regional economic growth. However, relationship ecological protection development due landscape dynamics has not been systematically demonstrated as environment difficult quantify by monetary value. In this article, we explored changes in gross ecosystem product (GEP) Three Gorges (TG) reservoir area constructed a conceptual framework explicate its mechanism. Our results suggested that topographic, soil, climatic factors positively impact on GEP through their important structure, distribution, succession. Additionally, reforestation policies promote conversion of farmland grassland forestland TG region, which was main contributor enhancing GEP. Conversely, negatively GEP, were mainly manifested proportion land. Therefore, it essential maintain suitable land use region optimize proposed program enhance four productions. This article provides reference for resource allocation environmental sustainable ecologically fragile areas.

Язык: Английский

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Rethinking Pathways of Sustainable Development Goals: Insights from the Multidimensional Urbanization- Ecosystem Health Hierarchical Responses

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Май 6, 2025

Against the backdrop of accelerating global urbanization and mounting sustainability challenges, this study aims to quantify nonlinear relationships between ecosystem health, while integrating these into an updated Sustainable Development Goal (SDGs) classification framework—essential needs, governance, objectives. This approach provides a transformative understanding hierarchical responses ecosystems SDGs during processes. developed sustainable urban development-oriented multidimensional level (MUL)-ecosystem health index (EHI)-SDGs hierarchy framework in Yangtze River Economic Belt (YREB), identified MUL EHI via Boosted Regression Tree (BRT) model, revealed divergent influence pathways on SDGs, along with their interaction by employing factor analysis structural equation modeling. Findings reveal three key insights: (1) From 1990–2020, high values were concentrated downstream cities intensive construction unused land. The exhibited significant spatiotemporal heterogeneity upward trend, upstream lagged SDG progression compared regions. (2) Economic, social, demographic, Spatial exerted threshold effects spatial interactions, demonstrated spillover SDGs. (3) significantly moderates linkage YREB should strategically concentrate achieving 9, 11, 12. Prioritizing goals could enhance development. Notably, interactions among land use, ecosystems, highlight potential systemic planning for megagglomerations integrate resource management sustainability, offering novel theoretical methodology similar

Язык: Английский

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Assessing the Sustainability Impact of Land-Use Changes and Carbon Emission Intensity in the Loess Plateau

Sustainability, Год журнала: 2024, Номер 16(19), С. 8618 - 8618

Опубликована: Окт. 4, 2024

Regional socioeconomic development is intricately tied to reasonable land-use resources. Although many studies have analyzed carbon emissions, there a lack of analysis the concept intensity. Studying emission intensity (LUCEI) crucial for shaping effective land management strategies that support integrated sustainable society, economy, and environment. This study examines changes on Loess Plateau (LP) from 2000 2020. The coefficient method, spatial autocorrelation analysis, optimal parameters-based geographical detector model are used identify analyze clustering patterns influencing factors affecting LUCEI, which provides more in-depth insights LUCEI. results indicate: (1) Urban Grassland areas showed most significant growth, with expanding by 10,845.21 km2 Grasslands 7848.91 km2, respectively. expansion was mainly caused conversion Cropland, while primarily attributed decline in Barren. (2) average LUCEI LP climbed 0.38 0.73 2020, indicating 190.70% growth rate. (3) pattern remained stable but unevenly distributed, extensive High-High Low-Low clusters. (4) Socioeconomic had greater explanatory power than natural factors. not driven single factor, combined influence multiple interaction between nighttime light population density explained distribution strongly, q-value 0.928. findings underscore critical role dynamics LP. By linking changes, this offers concrete scientific guidance policymakers seeking balance practices. Based these results, we recommend developing appropriate urban plans optimize structures, enhance regional sequestration capacities, fully implement green transition requirements.

Язык: Английский

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Exploring the impacts of urbanization on ecological resilience from a spatiotemporal heterogeneity perspective: evidence from 254 cities in China

Environment Development and Sustainability, Год журнала: 2024, Номер unknown

Опубликована: Дек. 2, 2024

Язык: Английский

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