Search Results (3,241)

As a crucial ecological security barrier in China, the Yellow River Basin faces pressing challenges in balancing human activities and environmental sustainability. This study introduces the production–living–ecological space (PLES) framework to analyze land transformation and its ecological consequences from 1995 to 2024. Using land use transfer matrices, landscape metrics, the InVEST model, and geographical detector analysis, we quantified the spatiotemporal evolution of PLES and its impacts on landscape patterns and habitat quality across topographic gradients. Results show that living space consistently expanded, primarily at the expense of production and ecological spaces, leading to increased landscape fragmentation and habitat degradation. These adverse effects were most severe in low-topographic areas, revealing a clear topographic gradient effect. Both natural and anthropogenic drivers jointly shaped the spatial heterogeneity of ecological impacts. The key contribution of this study lies in systematically coupling PLES transitions with topographic gradients, offering a spatially explicit perspective for understanding regional human–environment interactions. Our findings provide a scientific basis for designing differentiated ecological restoration and spatial governance strategies in the Yellow River Basin, supporting its sustainable development under China’s national strategic framework. Full article

Geomagnetic disturbances are an emerging sustainability challenge for modern, low-carbon and highly interconnected power systems, affecting both grid stability and market performance. We develop a deep causal neural network that fuses geomagnetic observatory measurements with national operational indicators and, via counterfactual inference, traces shock and no-shock trajectories to estimate instantaneous and cumulative impacts. Using Switzerland as a case, shocks significantly change national load, canton-level consumption, cross-border flows, and balancing prices. East–west disturbances have stronger effects than north–south, highlighting the role of grid topology. At the regional scale, the canton of Aargau shows pronounced cumulative consumption responses, revealing spatial heterogeneity. In cross-border exchanges, imports rise after shocks while exports contract and transit flows decline; balancing prices increase markedly, suggesting that market mechanisms can amplify physical stress into economic impacts. The approach goes beyond correlation and exposure metrics by providing system-level, decision-relevant effect sizes. The main contributions are as follows: (i) a deep causal framework that identifies and quantifies the causal effects of geomagnetic disturbances on grid operations and prices; (ii) topology-linked empirical evidence of directional and spatial asymmetries across national, canton-level, and cross-border indicators; and (iii) actionable levers for system operation and market design. These findings inform risk-aware reserve procurement, topology-aware dispatch, and cross-border coordination in highly interconnected, low-carbon grids, helping to enhance reliability, maintain affordability, and facilitate clean-energy integration. Full article

Coastal lagoons are recent geological formations, crucial biodiversity hot-spots, and fragile ecosystems which provide several ecosystem services. These areas are strongly affected by nutrient inputs, which can lead to eutrophication and algal blooms. We identified nine Italian coastal lagoons with a surface area greater than 10 km². Most of them were previously classified in a poor ecological condition. Therefore, we used remote sensing, in particular Sentinel-2 images, to assess the trophic state of these areas over time from 2015 until 2025. Automatic products of chlorophyll-a (Chl-a), total suspended matter (TSM), and water transparency (kd_z90max) were derived. Chl-a concentrations indicated predominantly eutrophic conditions, ranging from 0.44 (Mare Piccolo) to 80.81 mg·m⁻³ (Comacchio). Comacchio and Cabras showed persistently high Chl-a values and low transparency, while Mare Piccolo was characterized by high transparency and oligotrophic conditions. Varano and Cabras showed a significant increase in Chl-a (p < 0.05) coupled with an increase in TSM (p < 0.01) and decline in transparency in Varano (p < 0.05). Most other lagoons showed no long-term trends but remained in eutrophic–hypereutrophic states. Therefore, the Italian coastal lagoons studied are vulnerable areas to environmental degradation. Many of the lagoons showed persistent eutrophic conditions and no long-term recovery trends. However, among the lagoons, there were heterogeneous ecological conditions, ranging from oligotrophic (Mare Piccolo) to chronically hypereutrophic (Comacchio, Cabras). Water clarity was mainly affected by suspended solids; however, in some cases, there was a key role in primary production (algal blooms). Sentinel-2 data proved effective for monitoring spatial and temporal variability in coastal lagoon water quality, offering a valuable tool for environmental management and early detection of degradation trends. Full article

Analyzing the spatial patterns of vitality in historic urban areas and their influencing elements is essential for improving the vitality of historic and cultural cities and fostering sustainable urban development. This research investigated the historic urban area of Kaifeng City. Employing Baidu Huiyan population location data, it assessed the spatial distribution of vitality on weekdays and weekends. A built environment indicator system was developed using multi-source data, and the CatBoost-SHAP model was applied to examine the nonlinear relationship between the built environment and the vitality of a historic urban area, along with the interactions among different factors. The study systematically explored the spatiotemporal dynamics of vitality and the influence mechanisms of the built environment. The results showed the following: (1) The vitality of Kaifeng’s historic urban area demonstrated significant spatiotemporal heterogeneity, exhibiting an “inner-hot, outer-cold” spatial pattern. Overall vitality levels were higher on weekends than on weekdays, with a progressive decline from morning to night. (2) Built environment factors dynamically influenced vitality across time periods. The impacts of POIM and BD shifted markedly, indicating temporal variations in vitality-driving mechanisms. (3) Synergistic interactions among built environment factors exerted nonlinear effects on urban vitality. Within reasonable threshold ranges, BSD, POID, and BD promoted vitality but exhibited diminishing marginal returns under high-density conditions. Notably, BSD played a core moderating role in multi-factor interactions. These findings reveal the complex and dynamic relationship between the built environment and historic urban vitality. They indicate that spatial governance should prioritize the synergistic integration of transportation, functions, ecology, and culture to achieve dual improvements in urban vitality and environmental quality, thereby providing important theoretical support and practical guidance for planning and spatial optimization in historic urban areas. Full article

Remote sensing imagery is a fundamental data source in spatial information science and is widely used in earth observation and geospatial applications. The explosive growth of such data poses significant challenges for online management and service, particularly in terms of storage scalability, processing efficiency, and real-time accessibility. To overcome these limitations, we propose DDMS, a distributed data management and service framework for heterogeneous remote sensing data that structures its functionality around three core components: storage, computing, and service. In this framework, a distributed integrated storage model is constructed by integrating file systems with database technologies to support heterogeneous data management, and a parallel computing model is designed to optimize large-scale image processing. To verify the effectiveness of the proposed framework, a prototype system was implemented and evaluated with experiments on representative datasets, covering both optical and InSAR images. Results show that DDMS can flexibly adapt to heterogeneous remote sensing data and storage backends while maintaining efficient data management and stable service performance. Stress tests further confirm its scalability and consistent responsiveness under varying workloads. DDMS provides a practical and extensible solution for large-scale online management and real-time service of remote sensing images. By enhancing modularity, scalability, and service responsiveness, the framework supports both research and practical applications that depend on massive earth observation data. Full article

Addressing land use carbon emissions (LUCE) is critical for mitigating climate change. Using multi-source heterogeneous data from 2010 to 2020, with Land use transition matrix and Kaya-LMDI model, this paper analyzes the spatiotemporal evolution and driving factors of LUCE on Hainan Island. The results indicate the following: (1) The study period witnessed significant land use transitions relevant to carbon stocks. Forest area (a key carbon sink) decreased substantially by 2188.74 km², while construction land (a major emission source) expanded by 182.10 km². (2) Consequently, total net LUCE increased by 54% over the decade. This growth was overwhelmingly driven by a 60.8% increase in carbon emissions from the expansion of construction land. (3) The driver analysis indicates that LUCE growth was significantly promoted by land finance dependence and economic development, with these effects exhibiting significant spatial heterogeneity. This study provides a scientific basis for optimizing low-carbon land use policies and offers critical insights for sustainable development in island areas. Full article

Digitalization has reshaped economic systems worldwide, yet its distributional consequences remain uneven and raise new challenges for sustainable development. China, where digital infrastructure has expanded rapidly, provides a critical setting to examine these effects and their implications for sustainable and inclusive growth. Using a balanced panel of 285 prefecture-level cities from 2007 to 2023, this study constructs a text-based index of digital infrastructure from government work reports and applies two-way fixed effects, instrumental variables, nonlinear models, placebo tests, heterogeneity analysis, and spatial Durbin models. The results show that digital infrastructure significantly widens the urban–rural income gap, with the effect becoming increasingly convex as digital development deepens. Two mechanisms drive this pattern: the concentration of innovation resources in urban areas, which crowds out rural R&D, and a modest degree of wage-structure polarization. Spatial spillovers also matter; digital development in neighboring cities partially offsets local inequality by enhancing interregional connectivity and knowledge diffusion. These findings provide city-level causal evidence on the unequal distributional impacts of digitalization in large emerging economies and highlight the need for sustainability-oriented digital governance, inclusive innovation systems, and regionally coordinated strategies to prevent digital infrastructure from reinforcing structural disparities. Strengthening these policies is essential for achieving more sustainable urban–rural integration in the digital era. Full article

Coastal areas are increasingly affected by erosion due to climate change and human interventions, threatening the stability of many shorelines. Understanding coastal dynamics is therefore crucial for developing effective conservation and management strategies. This study analyzes the evolution of the coastline between the Port of Valencia and the Port of Sagunto from 1957 to the present, one of the most anthropized littoral cells in the Eastern Mediterranean, where urban development, groyne fields, and major harbor structures strongly modify longshore transport. Using Geographic Information Systems (GIS), including QGIS and the DSAS extension, five shoreline change indicators (EPR, LRR, NSM, SCE, and WLR) were calculated based on coastlines extracted from orthophotos and satellite images. The analysis was conducted across five distinct zones and three temporal scales (long, medium, and short term) to capture spatial and temporal variations. The results reveal significant heterogeneity: the Arenas–Malvarrosa–Patacona area shows long-term accretion but recent erosion (LRR = +0.88 m/year; NSM = +58 m), Port Saplaya shows moderate erosion (LRR ≈ 0.27 m/year), Pobla de Farnals is undergoing strong erosion (LRR = −0.57 m/year; NSM = −44 m), Puzol appears recently stabilized (2015–2024; LRR ≈ +0.06 m/year) and Marjal dels Moros, historically stable, now exhibits a short-term retreat of −0.53 m/year. Overall, coastal evolution in the study area exhibits a clear pattern, being influenced by both natural processes and human actions: long-term accretion occurs exclusively in sectors located updrift of major infrastructures, while most remaining areas show persistent or recently accelerated erosion, reflecting the cumulative impact of sediment scarcity, coastal armoring and increasing storm intensity. The data provide valuable insights for medium- and long-term coastal planning and sustainable territorial management. Full article

Legumes are sensitive to soil heterogeneity and disease pressure, particularly from Fusarium oxysporum, which causes severe yield losses worldwide. This study examined the relationships between soil properties, disease incidence, and yield variability within management unit zones (MUZs) to support site-specific management strategies. Two field experiments were conducted in central Italy, in two different growing seasons, using synthetic images of bare soil and clusters to delineate MUZs. Soil samples were analyzed for texture, organic carbon, and nitrogen content, while disease incidence and severity were assessed in relation to symptoms on foliar, root, and hypocotyl tissues. Furthermore, pathogen isolations were carried out from the altered hypocotyl and root tissue. Vegetation indices, including NDVI and PRI derived from Sentinel-2 images, were integrated with field observations to map disease and yields spatially. The results highlighted the almost exclusive presence of F. oxysporum on the altered tissues. MUZ-3, characterized by lower organic carbon content and higher sand content, consistently exhibited the highest incidence and severity of Fusarium wilt. In contrast, MUZ-1, richer in clay and organic carbon, supported healthier plant growth and higher productivity. The integration of vegetation indices with field data proved effective in detecting spatial variability, allowing the delimitation of productivity zones and supporting precision farming strategies aimed at mitigating Fusarium-related yield losses. Full article

Anthropogenic disturbances and morphological constraints pose significant threats to lake–wetland functions. However, conventional assessments often overlook the influence of wetland morphology on the spatial realization of ecosystem services, which limits effective ecological restoration. This study presents a multidimensional framework coupled with the InVEST model to evaluate the Integrated Ecosystem Service Capacity (IESC) in the Jianghan Lake Cluster. The assessment focuses on key ecosystem services, such as habitat quality, carbon storage, and water purification. The results reveal significant morphology-driven heterogeneity in IESC. Zonal optimization strategies, including ecological water replenishment, buffer-strip construction, and polder-to-lake conversion, significantly enhance IESC across conservation, regulation, and restoration zones. Model simulations indicate that these targeted interventions can reduce non-point source pollution by approximately 35%, and increase carbon sequestration and biodiversity indices by 15–20% and 30%, respectively. This study elucidates the coupling mechanisms between lake morphology and ecosystem service capacity and provides a spatial framework for restoring “lake–river–polder” composite wetland systems. Full article

The general Lichtenecker equation, with exponent values in the range $-1\le k\le 1$, is widely used to describe and predict the effective macroscopic electrical, magnetic, thermal and optical properties of various heterogeneous media. Although it sometimes fits experimental data well, in most cases, however, it is physically incorrect and its predictive ability is often overestimated. Using a rigorous spectral representation, we show that for isotropic composites, except for the trivial one-dimensional case, only two specific forms of this equation, the logarithmic ($k=0$) and Landau-Lifshitz-Looyenga ($k=1/3$) mixing laws, are dimensionally consistent, corresponding to spatial dimensions $d=2$ and $d=3$, respectively. Furthermore, the requirement of phase-interchange symmetry severely restricts the applicability of the Lichtenecker equation, rendering it unsuitable for most real composite systems. Full article

This study investigates the morphometric and anthropogenic controls governing the occurrence and spatial distribution of tributary–junction fans (TJFs) along the Chaudière River, Québec, Canada. Using GIS-based morphometric analysis, field validation, and multivariate statistics (PCA, CART, LDA), 142 tributary watersheds were analyzed, of which 41 display fan-shaped depositional features. Basin relief, drainage density, contributing area, and slope–area coupling emerge as the dominant predictors of TJF development, delineating an intermediate energy domain where sediment supply and transport capacity become balanced enough to allow partial geomorphic coupling at confluence nodes. CART analysis identified approximate slope and area thresholds (slope < 9°, area > 20 km²; 66% accuracy), while LDA achieved 76%, indicating that morphometry provides useful but incomplete predictive power. These moderate performances reflect the additional influence of event-scale hydrological forcing and unquantified Quaternary substrate heterogeneity typical of postglacial terrain. Beyond morphometry, anthropogenic disturbance exerts a secondary but context-dependent influence, with moderately disturbed watersheds (10–50% altered) showing higher frequencies of fans than both highly engineered (>50%) and minimally disturbed (<10%). This pattern suggests that land-use modification can locally reinforce or offset morphometric predisposition by altering sediment-routing pathways. Overall, TJFs function as localized sediment-storage buffers that may be periodically reactivated during high-magnitude floods. The combined effects of basin geometry, land-use pressures, and hydroclimatic variability explain their spatial distribution. The study provides an indicative, process-informed framework for evaluating sediment connectivity and depositional thresholds in cold-region fluvial systems, with implications for geomorphic interpretation and hazard management. Full article

Against the backdrop of China’s “dual-carbon” targets and the digital era, examining how digital finance (DF) in the New Western Land–Sea Corridor (NWLSC) shapes urban carbon-emission efficiency (CEE) is pivotal for fostering high-quality economic development and advancing the large-scale development of western China. Building on a theoretical exposition of how DF influences urban CEE, we empirically investigate both the direction and the underlying mechanisms of this influence by applying fixed-effects and spatial-panel smooth-transition regression models to panel data covering 88 cities in the NWLSC from 2011 to 2022. The results reveal the following: (1) The direct impact of DF on urban CEE in the NWLSC follows a nonlinear inhibitory effect, which gradually weakens with the increase in DF. (2) The influence of DF on urban CEE exhibits pronounced heterogeneity across NWLSC regions over time and at different quantiles. (3) As transportation and information infrastructures improve incrementally, the effect of DF on local CEE traces a nonlinear inhibitory effect and has a nonlinear spillover effect on neighboring cities’ CEE. These findings imply that policymakers along the corridor should accelerate the development of DF and foster its organic integration with transportation and information infrastructures, so as to advance the high-quality construction of the NWLSC and, ultimately, China’s high-quality economic growth through regionally coordinated and context-specific strategies. Full article

As digital technology and green development become more integrated, exploring how the digital economy affects energy consumption is vital for coordinating economic growth with energy conservation and emission reduction. This study uses panel data from 30 Chinese provinces covering the years 2011 to 2023, constructing a digital economy development index system using the entropy weighting method. Additionally, it employs panel threshold models and spatial Durbin models to empirically examine the nonlinear effects and spatial spillover effects of the digital economy on energy consumption. The research reveals that: First, the digital economy exhibits a pronounced threshold effect on energy consumption. When the level of digital economic development falls below the threshold value of 0.024, it effectively curbs energy consumption. Once this threshold is exceeded, it paradoxically promotes energy consumption exhibiting a nonlinear pattern of “initial suppression followed by promotion”. This confirms the existence of the demand-side green paradox of the digital economy effect—where efficiency gains from technological progress are offset by consumption growth, unexpectedly stimulating higher energy consumption. Second, the digital economy exhibits a complex spatial effect on energy consumption characterized by “local promotion and neighboring suppression”. Although it demonstrates negative spillovers in surrounding areas, the overall regional effect remains positive, revealing the spatial complexity of this “green paradox”. These findings challenge traditional linear assumptions and offer valuable insights into regional digital economic planning and the promotion of green, low-carbon development. Full article

Systematically assessing the supply–demand disparities of urban–rural ecosystem services (ES) is a key pathway to optimizing resource allocation, promoting urban–rural integration and advancing regional sustainable development. Taking Zhengzhou City as a case study, this research evaluates and compares urban–rural differences across four dimensions: potential supply, actual supply, real human needs (RHN), and effective supply. Furthermore, focusing on actual supply, the study integrates a geographical detector and Bayesian belief network to identify key driving factors, delineate optimal optimization zones, and propose differentiated management strategies. The results show that: (1) Urban RHN accounts for 69.70% of the total in Zhengzhou, with a spatial pattern of “higher in the east and core, lower in the west and periphery”, and the internal heterogeneity is significantly greater than that of rural areas. (2) Potential supply is “higher in rural areas and in the west”, whereas actual supply is concentrated in central urban districts, reflecting a net service flow from rural to urban areas. (3) High-level effective supply areas cover 37.28% of urban regions, about 18 percentage points higher than rural regions. Rural deficits are primarily caused by low conversion efficiency of supply rather than insufficient potential. (4) Optimal urban optimization zones are mainly distributed in peripheral urban streets, while rural zones are concentrated in eastern townships. Through multidimensional supply–demand comparison and spatial optimization, this study provides a scientific basis for the coordinated enhancement of urban–rural ES, differentiated governance and regional sustainable development. Full article