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

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2253 - 2253

Published: March 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.

Language: Английский

---

Exploration of the multi-scenario spatiotemporal evolution, trade-off and synergy relationships, and driving factors of ecosystem services in Henan Province, China, under the background of land use change

Frontiers in Ecology and Evolution, Journal Year: 2025, Volume and Issue: 13

Published: April 7, 2025

Introduction Ecosystem services (ESs) assessment plays a significant role in managing ecological resources. From the perspective of land use, this research aims to uncover complex interdependence between ESs and their key drivers clarify optimize function zoning region. Methods This focuses on Henan Province China, quantifying five ESs, namely, carbon storage (CS), habitat quality (HQ), soil conservation (SC), water (WC), yield (WY), assessing interactions from 2000 2020 2035. Moreover, study explores social - driving factors influencing these ESs. Finally, it classifies types ecosystem service bundles (ESBs). Results (1) 2020, use evolution was characterized by large expansion construction land, continuous decrease cultivated area, relatively stable changes other types. In protection (EP) scenario 2035, area decreased most, forest increased slightly. CS HQ showed trend degradation, while SC, WY, WC first fluctuated then increased. (2) The synergistic relationship each main one, among which WC-WY, CS-HQ HQ-SC relationships, CS-WC HQ-WC change trade-off relationship, were mainly relationships. Meanwhile, most B4 central part region dominated, rest volatility. (3) Elevation slope are dominant restricting spatiotemporal distribution CS, HQ, SC. Temperature precipitation primary conditions affecting differentiation WY WC. interaction topographic climatic has greater impact than single factor. Discussion conclusion, during period there spatio-temporal heterogeneity various functions Province. Approaches such as exploring relationships different ecosystems classifying clusters, discussing potential can provide references for territorial space governance environment

Language: Английский

---

A novel spatiotemporal urban land change simulation model: Coupling transformer encoder, convolutional neural network, and cellular automata

Journal of Geographical Sciences, Journal Year: 2024, Volume and Issue: 34(11), P. 2263 - 2287

Published: Nov. 1, 2024

Language: Английский

---

Unveiling the spatiotemporal heterogeneity and driving mechanisms of carbon storage changes in response to land use/land cover changes under different future scenarios: Insights from the GMOP-SEM model

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144622 - 144622

Published: Dec. 1, 2024

Language: Английский

---