Search Results (1,735)

Cropland use stability is vital for sustaining the productive and ecological functions of cropland. Existing multidimensional assessment frameworks rarely distinguish between quantity change and spatial change, nor do they examine their interactions across hierarchical scales. Using annual 30 m land cover data for Guangdong Province, China (1990–2024), this study developed a two-dimensional stability framework integrating quantity and spatial indicators, using a pixel-tracking strategy applied within each five-year interval to capture interannual dynamics. Analyses were conducted at provincial, agricultural zone, and city scales. Results showed that provincial stability exhibited a fluctuating upward trajectory, with the lowest point in 2005–2009. Regional patterns diverged markedly, and city-level stability exhibited spatial heterogeneity, with pronounced disparities between high- and low-stability cities. Grade transition and quadrant analyses further revealed that quantity and spatial stability do not always move in tandem, and single-dimension assessments may provide an incomplete picture of cropland use stability. These findings suggest that incorporating both dimensions into monitoring frameworks could support more differentiated cropland management strategies. Full article

This study evaluates the structural dynamics of the landscape within the Sierra de San Pedro and Embalse de Cornalvo Special Areas of Conservation between 2006 and 2018 to determine the effect of land-use spatial configuration on ecosystem stability. Methodologically, Corine Land Cover cartography was geoprocessed in QuantumGIS utilising the LecoS plugin to calculate five landscape metrics. The results reveal marked stability within the agroforestry matrix of both protected areas, demonstrating the effectiveness of their conservation status against drastic land-use changes. Nonetheless, contrasting internal trajectories were identified: the Sierra de San Pedro experienced a process of silent reforestation and the unification of natural habitats (characterised by a reduction in patch numbers and an increase in mean patch size), whereas the Cornalvo landscape exhibited strong structural homogeneity dominated by human activity. It is concluded that while the Sierra de San Pedro is evolving towards forest maturation and robust internal connectivity, Cornalvo maintains a structural inertia of absolute stability. These findings demonstrate the importance of incorporating spatial metrics into environmental management to strengthen ecosystem resilience to change. Full article

Urban informality in amphibious territories represents a critical yet understudied dimension of contemporary urbanisation in the Global South. This article analyses the interrelations between spatial transformation, social equity, and environmental change in Las Flores, an informal settlement located between the Mallorquín Lagoon and the Magdalena River in Barranquilla, Colombia. Drawing on a mixed-methods approach combining GIS interpretation, participatory mapping, and in-depth interviews, the study examines how processes of informal territorialisation have reshaped both the physical landscape and the social fabric of this amphibious environment. Results indicate that the settlement has expanded progressively over the past two decades, occupying areas of the wetland previously covered by mangroves and natural vegetation. This expansion has been accompanied by environmental degradation, soil infilling, and declining water quality. Residents face persistent infrastructural deficits, limited access to education and healthcare, and increasing social fragmentation between the formal and informal sectors. Yet, the community also exhibits strong organisational capacity, adaptive livelihoods, and a deep sense of place that sustains local identity and resilience. These dynamics exemplify the paradox of amphibious life: coexistence with water as both a resource and a source of vulnerability. Building on these findings, the study develops an urban socio-ecological conceptualisation of Amphibious Justice, a framework for interpreting equity, recognition, and governance in hybrid territories where urbanisation and land–water dynamics intersect. The article proposes a framework of equitable amphibious urbanism that integrates environmental restoration, social inclusion, and participatory governance. The findings suggest that sustainability in such territories cannot be achieved through technocratic restoration or forced resettlement, but through co-produced strategies that recognise local knowledge, tenure security, and ecological stewardship. Ultimately, the case of Las Flores offers insights into how cities in the Global South can pursue just and adaptive coexistence with water amid growing climate and urban pressures. Full article

Population growth is increasing food demand, while watershed food systems face intense pressure from land-use/land-cover (LULC) change. Therefore, this study aimed to identify the critical threshold for food sufficiency in the Cimanuk Watershed. The methods used include dynamic analysis and prediction of LULC changes in line with four scenarios using Support Vector Machine (SVM)–Markov model, ecosystem service-based food production modeling through Crop Production module in Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model, food demand estimation based on population projections, and calculation of Food Sufficiency Index (FSI) to identify the critical threshold at which the food system shifts from surplus to deficit. The results showed that paddy rice production is projected to continue meeting food demand across all scenarios through 2042. However, food demand is expected to increase as the population grows, specifically in the Accelerated Population Growth (APGS) scenario. FSI analysis indicated that the Cimanuk Watershed remained in food surplus (FSI > 1) up to 2042. The watershed may transition to a food-deficit condition after 2062 in the absence of intervention measures. Therefore, this study recommends protecting productive paddy fields, conserving forests, and managing population growth to maintain long-term food sufficiency. Full article

The miombo woodlands of the southeastern Democratic Republic of the Congo (DR Congo) are increasingly exposed to mining expansion and associated land-use changes. However, the spatial association between mining infrastructure, rural settlements, and forest-cover dynamics remains poorly quantified. This study assessed long-term forest-cover change and fragmentation in relation to accessibility gradients around a mining exploration road and four rural settlements in Mutshatsha Territory, a rapidly transforming mining frontier within the Katangese Copperbelt. Land-cover dynamics from 1998 to 2023 were reconstructed from six Landsat observations using Random Forest classification implemented in Google Earth Engine. Landscape metrics were used to quantify changes in forest composition and configuration, while distance-based analyses assessed spatial patterns along accessibility gradients. Forest cover declined from 39.9% in 1998 to 12.5% in 2023, corresponding to an annual forest-cover loss rate of 2.75%, while agricultural and built-up/bare-soil classes expanded. Forest fragmentation increased, as reflected by greater patch subdivision and declining dominance and cohesion of large forest patches. Forest cover generally increased with distance from the mining road after accounting for year, indicating a significant accessibility-associated spatial gradient. Linear regressions showed strong statistical associations between forest cover and road-distance gradients (R² = 0.71–0.94), while village-distance relationships reached R² values of up to 0.80. These R² values represent the proportion of variance accounted for by the fitted spatial relationships and should not be interpreted as causal effects of accessibility. Forest-cover patterns also varied among villages and years, indicating that accessibility-associated gradients occurred within broader temporal and landscape dynamics. Overall, the results demonstrate substantial forest-cover loss and landscape reorganization associated spatially with accessibility gradients around mining infrastructure and rural settlements. These findings support conservation and land-use planning that considers remaining forest patches, landscape connectivity, and accessibility patterns beyond the immediate infrastructure footprint. Full article

Local physicochemical variability in small post-extraction gravel pit lakes is often difficult to interpret because water chemistry may reflect both seasonal dynamics and highly local shoreline conditions. This study assessed spatial and temporal patterns in selected physicochemical parameters of near-surface water at eight fixed littoral sampling points representing contrasting riparian and land-use settings in two gravel pit lakes within the Międzyrzeckie Jeziorka lake complex near Międzyrzec Podlaski, eastern Poland. Surface-water monitoring was conducted from 9 November 2024 to 23 September 2025. The analytical dataset covered total organic carbon, inorganic carbon, total carbon, total nitrogen and laboratory-measured pH. The strongest and most consistent changes occurred between sampling dates in both lakes. Differences among fixed points were limited; total nitrogen differed between two points in Gravel pit lake no. 1, while the other parameters showed no date-adjusted point-level pattern over the monitored period. Mean total organic carbon and total carbon concentrations were similar in the two lakes, whereas Gravel pit lake no. 1 showed higher maximum values for most parameters and greater variability in selected carbon and nitrogen fractions. Laboratory-measured pH was generally weakly acidic to near-neutral, and the lowest observations occurred during individual campaigns. The findings show pronounced temporal dynamics and a restricted spatial signal in the monitored littoral zones. Repeated fixed-point sampling provided a clear basis for comparing temporal changes and local differences in these post-extraction lakes. These inferences are restricted to the monitored near-surface physicochemical variables. Full article

Land consolidation (LC) is increasingly expected to support food security, ecological restoration, rural development, and climate mitigation, yet evidence on its carbon effects remains fragmented across engineering, ecological, spatial, and governance research. This review combines bibliometric mapping with structured evidence synthesis of 355 records from WoS and CNKI to examine knowledge evolution, analytical paradigms, and their integration. The field has expanded from component-based assessments of construction emissions, soil carbon, and land-cover change toward life-cycle accounting, carbon fractions, ecosystem-service interactions, spatial optimization, and policy evaluation. WoS-indexed and Chinese-language literature show distinct but increasingly convergent orientations shaped by differences in intervention contexts, disciplinary traditions, analytical scales, and available evidence. Four complementary paradigms are identified: carbon accounting, biogeochemical processes, spatial land systems, and decision support and governance. Together, these paradigms reveal interconnected carbon pathways but remain constrained by inconsistent accounting boundaries, weak process–scale–time linkages, and limited integration with land-governance decisions. Future research should therefore advance standardized life-cycle and multi-scale accounting, mechanism-based assessment of long-term carbon and ecosystem-service dynamics, and digitally and institutionally enabled low-carbon governance. Full article

Rapid urban expansion reshapes urban morphology and the spatial organization of regional city systems. However, provincial-scale studies rarely integrate expansion dynamics, morphological change, and the evolution of morphological polycentricity, while stage-specific shifts in associated factors remain insufficiently understood. This study examines 16 prefecture-level cities in Shandong, China, from 2000 to 2020 to quantify urban expansion and morphological change, assess morphological polycentricity and the city-size hierarchy, and evaluate stage-specific factors associated with newly added built-up land. Built-up land was extracted from the Prolonged Artificial nighttime-light Dataset of China (PANDA-China) using a statistics-constrained bisection threshold method and evaluated against independent land-cover products, followed by complementary spatial, morphological, rank–size, and GeoDetector analyses. The results show that the built-up area increased from 1912.10 to 5646.04 km² in Shandong, while the annualized expansion rate declined from 7.09%/yr to 4.14%/yr despite persistently high absolute expansion after 2010. The dominant northeast–southwest axis remained stable, while urban forms became less compact and more complex. Secondary built-up nodes strengthened, whereas Jinan and Qingdao retained their dominant positions, indicating strengthening morphological polycentricity within a persistent dual-core structure. GeoDetector revealed a temporal shift from greater GDP prominence in 2000–2010 toward stronger population and road associations in 2010–2020. Initial built-up density remained the strongest explanatory factor, and factor interactions consistently exceeded individual explanatory power. These findings clarify the stage-dependent evolution of urban expansion and support differentiated land management and coordinated regional development. Full article

Land degradation threatens ecosystem productivity and food security across dryland regions worldwide. Currently, land degradation affects 3.2 billion people and approximately 25% of the world’s terrestrial land. This study assessed the spatiotemporal dynamics and potential drivers of land degradation in Punjab, Pakistan, from 2001 to 2024 using an integrated remote sensing framework combining Land Use/Land Cover (LULC), Normalized Difference Vegetation Index (NDVI), Net Primary Productivity (NPP), and Soil Organic Carbon (SOC). A weighted overlay approach and Moisture-Adjusted Net Primary Productivity (MNPP) analysis were employed to evaluate degradation severity and vegetation productivity under moisture stress conditions. Land-cover transitions were analyzed using the Land Change Modeler (LCM), while sensitivity analysis was conducted to evaluate the robustness of the weighting scheme under alternative scenarios. Results indicate higher degradation severity in southern Punjab, where SOC levels are lower. Land cover analysis revealed notable changes, with grassland decreasing by 1.77%, while built-up areas increased from 1.89% in 2001 to 3.04% in 2024. Tree cover and sparse vegetation also exhibited declining trends over the study period. In addition, MNPP was used as an indicator of vegetation productivity under moisture constraints. The MNPP results indicate an overall decline in productivity, particularly in southern and central Punjab, despite localized improvements in some regions. These trends align with a net loss of 1790 km² of non-degraded land from 2001 to 2024 and a 163% increase in very high degradation. Northern districts maintained relatively higher productivity levels compared with other areas. Both the weighted overlay and MNPP approaches indicate that land degradation is associated with declining soil organic carbon and increasing moisture stress. The results highlight the importance of continuous monitoring to support policy interventions aimed at mitigating desertification and ensuring long-term food security. Full article

Coastal flood exposure indicators are increasingly needed to support climate adaptation and sustainable coastal planning in small island regions, yet regional-scale assessments that translate hydrodynamic simulations into spatially explicit exposure indicators remain limited across the Caribbean. This study develops a spatially explicit coastal flood exposure framework by integrating LISFLOOD-FP simulations with settlement dynamics, land-cover change, and population distribution data. Coastal inundation was simulated under baseline (1985–2014) and SSP5-8.5 (2015–2050) 100-year extreme sea-level conditions and overlaid with land-cover, settlement, and WorldPop data to assess land-cover, settlement, and population exposure across Caribbean island systems. The results show that SSP5-8.5 generally increases coastal inundation extent relative to the baseline, although the broad regional pattern remains similar. Large islands with extensive low-lying coastal plains show greater absolute inundation, whereas several smaller islands exhibit higher proportional exposure because of limited land area and concentrated coastal settlements. Wetlands constitute the largest share of exposed terrestrial land cover, while built-up land shows increasing exposure. These findings suggest that future coastal flood exposure in the Caribbean is shaped by both increasing hazard intensity and persistent human concentration in flood-prone coastal zones. Because the modelling framework does not explicitly represent wave setup/runup, compound flooding, or coastal defences, the results are interpreted as regional-scale screening indicators rather than locally calibrated flood-risk estimates. Full article

Urban expansion is often tracked with annual land-cover data, yet year-to-year classification noise can masquerade as persistent urban growth. Previous work has usually treated detection, morphology, spatial structure, driver analysis, and forward-looking modelling separately. Here we follow urban growth in Tehran County from 2016 to 2025 within one linked workflow and then extend the analysis to a 2025–2030 growth-pressure screening under static covariates. Annual 10 m built-up composites from Dynamic World were passed through a temporal stability filter to retain persistent change. Stable growth was classified into four regimes, tested for clustering and interaction scale, and examined using a Spatial Durbin Model and multiscale geographically weighted regression. A two-stage machine-learning branch then produced a ranked growth-pressure surface. In this study, growth-pressure screening means identifying where recent spatial conditions are most compatible with continued growth under unchanged covariates; it is intended for relative spatial ranking under stated assumptions rather than deterministic estimation of future urbanization. Stable new built-up area totaled 107.64 km², most of it ribbon growth (57.60%) and edge expansion (32.77%). A stratified local validation of 300 samples returned a weighted overall accuracy of 97.30%, and a 27-scenario threshold test retained ribbon growth as the largest regime and edge expansion as the second largest in every case. Clustering was significant (Global Moran’s I = 0.326), with a dominant interaction range of about 8–10 km. Historical backtesting showed strong discrimination and ranking (ROC AUC = 0.979; PR AUC = 0.984; Spearman ρ = 0.902), while exact growth-magnitude performance was more moderate (R² = 0.341). The growth-pressure surface is therefore more useful for hotspot identification and relative ranking than for estimating exact future growth magnitude. Full article

Land cover change is a key indicator for evaluating the effectiveness of protected areas and identifying anthropogenic pressures that may affect ecosystem integrity. This study presents the first national-scale assessment of land cover stability and anthropogenic pressure within the protected area network of the Republic of Moldova using harmonized CORINE Land Cover (CLC) datasets for 2000, 2018, and 2024. A total of 97 protected areas larger than 25 ha were analyzed using four complementary indicators: the Change Area Ratio (CAR), Buffer Pressure Ratio (BPR), Threat Pressure Index (TPI), and Percentage of Artificialization (PA). The results reveal a generally high degree of land cover stability, with forests remaining the dominant land cover class and only limited changes detected during the study period. Pressure-related land cover transitions were identified in only 13 protected areas, primarily within large forest and wetland complexes, while most sites exhibited no detectable pressure-related changes at the spatial resolution of the CLC dataset. In contrast, surrounding 1 km buffer zones showed consistently higher land cover dynamics than protected areas, indicating that anthropogenic pressure is concentrated mainly in the surrounding landscape matrix. The proposed indicator framework provides a standardized and transferable approach for large-scale screening of protected areas and supports evidence-based monitoring and prioritization of conservation management using harmonized land cover datasets. Full article

Land use and land cover (LULC) dynamics are critical indicators of environmental transformation and anthropogenic pressure on regional landscapes. Mirzapur, located in the transitional zone between the Indo-Gangetic Plain and the Vindhyan uplands in Northern India, represents a region characterized by ecological sensitivity, mineral-based industries, agricultural dependency, and rapid infrastructural growth. In recent decades, Northern India has experienced accelerated urbanization, population pressure, land fragmentation, and environmental stress, thus making systematic LULC monitoring crucial for sustainable resource management and policy planning. The present study examines the spatio-temporal changes in land use and land cover in Mirzapur for the years 2004, 2014, and 2024. The study employed a cloud-based platform and the Random Forest algorithm for supervised classification of multi-temporal satellite imagery. LULC maps were generated and post classification comparison was used to assess changes across the selected years. Accuracy assessment was conducted using standard validation metrics, including the Kappa coefficient, to evaluate classification. From 2004 to 2024, urban areas expanded by a relative increase of 169.36%, largely through the conversion of cropland, although the overall cropland area showed a slight increase due to agricultural expansion in other parts of the study area. A slight increase in forest cover was also observed during this period. Water bodies and barren lands declined, indicating ecological stress in the region. These changes reflect rapid urbanization, demographic pressure, and evolving socio-economic activities within the district. The LULC classification achieved overall accuracies of 96.50% (2004), 97.52% (2014), and 96.08% (2024), showing the reliability of the generated maps. The study demonstrates the effectiveness of cloud-based geospatial analysis combined with a machine learning algorithms for long-term LULC monitoring and provides valuable insights for sustainable land management and regional planning. Full article

Against the backdrop of accelerating globalization and the reconfiguration of ecological security patterns, border regions—serving as critical carriers of national spatial governance—exhibit pronounced spatial heterogeneity and stage-dependent characteristics in land use evolution that warrant systematic investigation. This study focuses on global border zones to reveal the trends and evolutionary pathways of land use change, thereby providing a scientific basis for border spatial governance. Using the period of 1992–2020, four phases of global land cover data from the European Space Agency (ESA) were employed. Buffer zones of 50 km, 100 km, and 150 km were established along global national boundaries, and the study period was divided into three decadal stages. Border types were classified into terrestrial borders, coastal borders, and island borders. An integrated indicator system was constructed, including the Single Land Use Dynamic Degree (SLUDD), Integrated Land Use Dynamic Degree (ILUDD), and Weighted Composite Transition Intensity. A multi-scale nested analytical framework coupled with transition matrices was applied to assess land use evolution across global, continental, and bilateral national scales. The results indicate the following: (1) Distinct evolutionary pathways exist among border types. Terrestrial borders exhibit a combination of development and ecological restoration, with staged peaks in urban expansion; coastal borders are dominated by a unidirectional conversion from cropland to built-up land; and island borders demonstrate concurrent agricultural decline, ecological recovery, and built-up expansion. (2) From 1992 to 2020, global border land use underwent a transition from high-intensity transformations to low-intensity steady adjustments. Major changes were centered on the expansion of production space, outward diffusion of built-up areas, and vegetation restructuring. High-intensity changes were concentrated near boundary zones and attenuated significantly with increasing buffer distance. (3) At the continental scale, stable hierarchical patterns emerge in terms of change intensity, spatial gradients, and transition structures. Borders in Eurasia and North America show higher activity, Africa exhibits widespread diffusion, and South America and Oceania are characterized by forest boundary reshaping and vegetation adjustments, respectively. (4) Typical border regions can be categorized into three evolutionary types: forest ecological frontiers, agricultural expansion zones, and land–sea composite corridors. Regional trajectories vary significantly, with Southeast Asia transitioning rapidly toward stabilization, West Africa retaining periodic high-intensity disturbances, and South America remaining in a low-intensity adjustment state. This study clarifies the evolutionary patterns and boundary effect ranges of global border land use, providing theoretical support and empirical references for resource allocation and ecological regulation in border regions. It also lays the groundwork for refining border typologies, quantifying driving mechanisms, and developing differentiated cross-border governance strategies. Full article

To enhance regional carbon sequestration capacity and achieve carbon neutrality, it is crucial to accurately estimate the net primary productivity (NPP) of vegetation and its response to changes in land use/land cover (LULC). Based on remote sensing data, the study estimated the NPP of Qingdao, a typical coastal city in eastern China, from 1990 to 2020 using the CASA model and examined its spatiotemporal dynamics. The Geographic Detector was used in the study to measure the impact of anthropogenic and natural factors on variations in NPP. Additionally, the Markov–PLUS model was utilized to forecast future LULC patterns and NPP changes for 2030 under three development scenarios: natural development, cropland protection, and ecological protection. The results indicate considerable regional variation and an initial decrease followed by an increase in Qingdao’s NPP. It is distributed in a strip-like pattern from northwest to southeast, with the regions around Jiaozhou Bay showing the lowest levels. The changes in NPP are driven by multiple interacting factors; among these, LULC, DEM, and slope exhibit significant spatiotemporal correlations with NPP, with LULC playing a dominant role in this process. In addition, interaction analysis demonstrated that the synergistic effects between LULC and other factors constituted the principal driving force behind NPP dynamics, and the interactions between the two factors that contribute show bivariate or nonlinear enhancement effects. The ecological protection scenario produces the greatest NPP values among the three scenarios. Optimizing LULC may significantly increase carbon sequestration capability, as evident in the NPP forecast, which is higher than that of 2020 in all scenarios. This study demonstrates that the ability of vegetation to store carbon can be effectively enhanced through land-use optimization informed by remote sensing technologies. The results provide a scientific basis for adjusting LULC policies and conducting carbon-neutral spatial planning in coastal urban areas. Full article