Examining the Spatiotemporal Evolution of Land Use Conflicts from an Ecological Security Perspective: A Case Study of Tianshui City, China

Sustainability, Год журнала: 2025, Номер 17(5), С. 2253 - 2253

Опубликована: Март 5, 2025

Land use conflicts represent an increasing challenge to sustainable development, particularly in regions undergoing rapid urbanization. This study investigated the spatiotemporal dynamics of land and their ecological implications Tianshui City from 1980 2020. The main objectives were identify patterns spatial heterogeneity, explore driving factors behind these conflicts, analyze relationship with risks. results indicate following findings. In terms early changes primarily driven by structural factors, such as topography climate, a Nugget/Still ratio <0.30 observed 2000. After 2000, however, stochastic including average annual urbanization rate increase 5.2% GDP growth 9.1%, emerged dominant drivers, reflected > 0.36. Regarding conflict intensity, high-conflict areas expanded approximately 1110 square kilometers between 2020, predominantly concentrated fertile agricultural Weihe River Basin urban core areas. Conversely, non-conflict zones decreased 38.7%. risk correlation, bivariate LISA cluster analysis revealed significant autocorrelation severe risks (Moran’s I = 0.62, p < 0.01). High-risk clusters transitioning arable built-up increased 23% after Predictions based on future land-use simulation (FLUS) model suggest that 2030, high-intensity will expand additional 16%, leading intensified competition for resources. Therefore, incorporating safety thresholds into planning policies is essential reconciling development conservation, thereby promoting transitions.

Язык: Английский

Land Use Changes and Sustainable Development Goals Alignment Through Assessing Ecosystem Service Supply and Demand Balance

Land Degradation and Development, Год журнала: 2025, Номер unknown

Опубликована: Фев. 26, 2025

ABSTRACT Ecosystem service quality is closely linked to human well‐being, and sustainable provision of ecosystem essential for ensuring regional ecological security achieving sustainability goals. An innovative valuation framework introduced that combines land use/cover change (LUCC) analysis, supply demand matrices Gini coefficient calculations assess the services (ES‐S ES‐D). Unlike traditional static methods, this approach captures intricate spatial temporal mismatches, offering new insights into impacts LUCC on ES balance within development goals (SDGs). Taking Three Gorges Reservoir Area (TGRA) as a case study, findings indicate significant decrease in cultivated land, accompanied by expansion forest built‐up area, driven farmland‐to‐forest policies urbanization. These shifts have improved provisioning supporting but also intensified disparities, particularly Chongqing, where outpaces supply. Furthermore, altered capacity ecosystems TGRA provide services, such soil retention water regulation, thereby progress toward SDGs related sustainability. However, imbalances cultural persist, highlighting need targeted management strategies optimize support This study underscores importance ongoing ES‐S ES‐D assessments inform ecologically sensitive areas like TGRA.

Язык: Английский

Disentangling the Local Coupling and Telecoupling of Urbanization and Ecosystem Services to Reveal Archetypical Social–Ecological Interactions in Urban Agglomerations

Land Degradation and Development, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

ABSTRACT Investigating the spatial coupling between urbanization and ecosystem services (ESs) enhances understanding of social–ecological interactions while addressing sustainability challenges in urban agglomerations. While most studies have focused on local ESs, fewer examined their telecoupling, considering increasing distant systems. In this study, we developed a methodological framework to disentangle telecoupling ESs Beijing‐Tianjin‐Hebei agglomeration, China. Urbanization seven were mapped, relationships quantified. Different further generalized through archetype analysis, influencing factors identified. The results indicate that from 2000 2020, number counties with relatively high‐level increased. lagged or balanced counties. showed both increases decreases across different revealing networks ESs. Areas clustered into four archetypical interactions. These distributed along urban–peri‐urban–rural gradient: three types found separately mountainous, rural, central areas, type was mainly peri‐urban areas. Our study provides implications for targeted land management similar We suggest increase self‐sufficiency improve ecological compensation, thereby fostering sustainable development.

Язык: Английский