Search Results (56)

Soil erosion and the nutrient loss it causes are core issues threatening sustainable land use in arid and semi-arid regions. In this study, our aim was to reveal the spatiotemporal differentiation characteristics of soil erosion and soil nutrients in an ecologically fragile area of eastern Inner Mongolia—Tuquan County and clarify the relationship between them in order to provide a scientific basis for the precise management of water and soil resources and ecological construction in this region. Based on four sets of remote sensing images and ground observation data from 2012, 2016, 2020, and 2024, the Revised Universal Soil Loss Equation (RUSLE) was used to evaluate the dynamics of soil erosion, statistical methods were employed to analyze the spatial distribution and grade characteristics of soil nutrients (organic carbon, SOC; total nitrogen, TN, total phosphorus, TP) and pH values, and correlation analysis was conducted to explore their association with environmental factors (rainfall erosivity, R; soil erodibility, K; slope length, LS; vegetation cover and management factor, C). Our results demonstrate the following: (1) From 2012 to 2024, the intensity of soil erosion in the study area showed an increasing trend, with the average annual soil erosion modulus increasing from 551.4 t/(km²·a) to 859.6 t/(km²·a), and the high-intensity erosion areas were mainly distributed in the northwest. (2) The soil nutrient content was generally at medium to low levels, with the SOC and TN in the study area mainly categorized as “deficient” and “adequate”. The SOC ranged from 5.8 to 33.8 g·kg⁻¹, with an average content of about 23.5 g·kg⁻¹, while the TN content ranged from 0.45 to 4.63 g·kg⁻¹, with an average content of about 1.50 g·kg⁻¹, and was significantly affected by soil type. (3) There was a significant negative correlation between the soil erosion modulus and the SOC and TN content (p < 0.05), which was a key driving factor for nutrient loss. This conclusion suggests that soil erosion in Tuquan County is intensifying: the risk of nutrient loss is severe, and its spatial pattern is jointly restricted by topography, vegetation cover, and soil background characteristics. Therefore, future ecological engineering should focus on high-intensity erosion areas and combine the prevention of soil and water loss with the conservation of soil fertility in order to achieve sustainable land use in the region. Full article

This research investigates the development of integrated knowledge systems for built heritage located in Italian Inner Areas, marginal territories characterised by socio-economic fragility and the progressive weakening of traditional settlement systems. Within these contexts, built heritage is deeply interconnected with the landscape as a result of long-standing interaction processes between man and territory. Yet it is often affected by limited, fragmented information and inadequate digital management frameworks. This study addresses these issues by developing a methodological approach grounded in multidisciplinary, multiscalar, transcalar, and diachronic principles to reconnect territorial and architectural dimensions within a unified interpretative framework. The Alpine municipality of Dosso del Liro (Northern Italy) was selected as a representative case study for testing the applicability of an integrated H-GIS-BIM workflow under conditions typical of marginal contexts. The research combines desk-based and field-based investigations. Information was organised with regard to the historical and diachronic features of assets and then integrated into a digital environment developed using GIS, HBIM, and conversion workflows. The results demonstrate the accessibility of H-GIS-BIM strategies through a methodological approach and their support for enriching analyses of diffuse heritage, while also highlighting current limitations regarding workflow, interoperability, semantic preservation, and dynamic data updating. Full article

Amid the growing need to reconcile agricultural development with ecological security in ecologically fragile regions, CFGT has become a critical pathway for shifting agricultural systems from vulnerability toward resilience. The NARC is a typical ecologically fragile area. It faces unprecedented pressure from natural conditions and unsustainable agricultural practices. Developing a rigorous, logically coherent indicator system, together with a systematic assessment of the spatiotemporal evolution of regional CFGT, is essential for objectively identifying its current developmental stage, revealing key bottlenecks, and forming policy optimization and transition acceleration. This paper constructs a comprehensive evaluation indicator system based on the Driver–Pressure–State–Impact–Response (DPSIR) framework. Using panel data from six provinces in the NARC from 2004 to 2023, the Entropy Weight Method is applied to quantify CFGT performance. Kernel Density Estimation and the Coefficient of Variation Method are further employed to examine the spatiotemporal evolution, distributional dynamics, and regional disparities of CFGT. In addition, an obstacle severity model is used to identify the key constraints affecting CFGT. The results show that (1) the CFGT performance of the NARC exhibited a substantial improvement during 2004–2023. Its temporal evolution indicates a transition from an initial adjustment phase to steady advancement phase, followed by a more rapid improvement phase after 2017. (2) The overall enhancement of CFGT performance was mainly driven by improvements in the Driving Force and Impact subsystems. (3) CFGT performance exhibited marked regional heterogeneity across the six provinces. Qinghai, Shaanxi, and Xinjiang formed the leading group, Ningxia and Inner Mongolia occupied intermediate positions, while Gansu consistently recorded the weakest performance. (4) The major constraints on CFGT were concentrated in resource-state conditions and governance response capacity. Overall, this paper provides an assessment framework based on evidence for understanding CFGT in ecologically fragile arid regions, offering policy implications for promoting resilient agricultural green development. Full article

This paper examines whether, and to what extent, social relations can be understood in terms of utilitarian exchange, or whether they are more adequately interpreted through the categories of solidarity and social love. More specifically, the article develops a critical analysis of reductionist theories of exchange by focusing on the relationship between young people, participation, and local communities in the inner areas of Molise, a region in southern Italy that is particularly marked by socio-economic fragility. Within this framework, the study adopts a qualitative research design, based on semi-structured interviews with 62 young people aged 16 to 34, introduced using a photo-elicitation prompt. The findings indicate that, despite experiencing the constraints associated with a limited availability of services, opportunities, and resources, people in these territories cultivate forms of relational well-being that cannot be reduced to a mere cost–benefit calculus. Rather, these relationships generate recognition, mutual support, and orientations towards the common good, through practices of care directed both towards the local territory and towards family ties. From this perspective, the paradigm of social love may provide a particularly successful interpretive framework for understanding youth solidarity and the persistence of community bonds within the contradictions of late modernity. Full article

Siziwang Banner in Inner Mongolia is a typical arid and semi-arid grassland region where ecological environmental quality is highly sensitive to climate variability and land use and land cover change (LULCC). Clarifying the long-term coupling relationship between LULCC and ecological environmental quality is essential for regional ecological protection and sustainable land management. Based on the Google Earth Engine (GEE) platform, this study integrated multi-temporal Landsat imagery and CLCD-based land use datasets, including an updated 2024 land use layer, to construct a Remote Sensing Ecological Index (RSEI) using standardized and direction-corrected principal component analysis. land use transition matrix analysis, spatial autocorrelation analysis, ecological contribution rate calculation, and GeoDetector were further applied to reveal the spatiotemporal evolution patterns, ecological effects, and driving mechanisms of LULCC in Siziwang Banner from 2000 to 2024. The results showed that: (1) grassland was consistently the dominant land use type, accounting for more than 90% of the total area. The overall land use pattern was characterized by stable grassland dominance, decreasing farmland and unused land, and slight increases in grassland and construction land; forestland showed a high relative growth rate but remained very small in absolute area. (2) The regional ecological environmental quality remained at a lower-to-medium level, with mean RSEI values ranging from 0.27 to 0.47. RSEI showed a phased pattern of initial improvement, subsequent decline, and partial recovery; the marked decline around 2015 was associated with the combined effects of drought stress and land use degradation rather than a single driving factor. RSEI exhibited significant positive spatial autocorrelation, with Moran’s I values ranging from 0.898 to 0.993. High-value clusters were mainly distributed in the southern region, whereas low-value clusters were concentrated in the central and northern regions. (3) Different land use transitions produced differentiated ecological effects. The conversion of unused land to grassland contributed positively to ecological restoration, while grassland degradation and construction land expansion exerted negative effects. The positive RSEI response of some grassland-to-farmland transitions should be interpreted cautiously in relation to local irrigation and intensive farmland management. (4) GeoDetector results indicated that land use type and DEM were the dominant factors controlling the spatial differentiation of RSEI, with average q values of 0.7188 and 0.6178, respectively. The interaction between DEM and land use type showed the strongest explanatory power, indicating that ecological quality was jointly shaped by land use structure and natural background conditions. This study provides a scientific basis for grassland protection, unused-land restoration, farmland management, and spatially differentiated ecological restoration in Siziwang Banner and similar ecologically fragile arid and semi-arid grassland regions. Full article

Ecologically fragile areas typically overlap with impoverished zones, rendering them susceptible to a vicious cycle of ecological degradation and poverty aggravation. Reasonable and diversified ecological compensation methods are closely associated with improved livelihood resilience among rural households in sandy areas. Building on this, we take three leagues and cities in Inner Mongolia with severe sandy desertification as the study area. OLS regression and mediating effect models are employed to examine the impact of diversified ecological compensation methods on the livelihood resilience of rural households in sandy areas, as well as the underlying mechanisms and heterogeneity. The results demonstrate that (1) diversified ecological compensation methods exert a significant positive effect on the livelihood resilience of rural households in sandy areas; (2) perceived fairness and livelihood diversity mediate the association between diversified ecological compensation methods and the livelihood resilience of rural households in sandy areas; (3) the effects of diversified ecological compensation methods on the livelihood resilience of rural households in sandy areas vary significantly across compensation modalities, beneficiary groups, and regions. Specifically, capacity-building compensation exerts a significantly stronger effect than direct-transfer compensation; poverty-alleviated households benefit more than general households; and the effects are significantly stronger in western Inner Mongolia than in eastern Inner Mongolia. Therefore, in optimizing ecological compensation policies in sandy areas, it is suggested to enhance the embedding depth of industrial and technical compensation, and to explore differentiated compensation pathways based on regional market capacity and household group characteristics, thereby promoting sustainable livelihood development for rural households in sandy areas. Full article

Tourism development in ecologically fragile areas faces the dual challenge of promoting economic growth while safeguarding environmental sustainability. Taking Inner Mongolia as a case study, this paper examines the spatiotemporal evolution, spatial resilience, and driving factors of A-level tourist attractions from 2005 to 2023. By integrating the Average Nearest Neighbor (ANN), Kernel Density Estimation (KDE), Standard Deviational Ellipse (SDE), and Geodetector methods, the study reveals three main findings. First, the tourism system has shifted from extensive quantitative expansion to intensive quality improvement, with the grade structure evolving from a pyramid-shaped distribution toward a more olive-shaped pattern. During 2019–2023, the spatial structure exhibited resilient stability and maintained a relatively mature polycentric pattern characterized by “one core and two sub-centers”. Second, the overall distribution of tourist attractions consistently followed a northeast–southwest orientation shaped by the regional geographical framework, while also showing increasing lateral diffusion into surrounding hinterland areas. Third, the driving factors displayed marked regional heterogeneity. Western Inner Mongolia followed an oasis-based development pattern, mainly associated with tertiary-industry GDP and public cultural facilities; eastern Inner Mongolia exhibited a resource-based, accessibility-constrained pattern, shaped primarily by topography and transport conditions; and central Inner Mongolia showed a coordinated support pattern supported by infrastructure, service capacity, and population concentration. Interaction analysis further suggests a landscape-embedded culture–nature coupling effect, in which the combined influence of topography and cultural facilities is more strongly associated with the spatial differentiation of tourist attractions than single factors alone. These findings provide a useful reference for differentiated spatial governance and sustainable tourism planning in ecologically fragile border regions. Full article

The rapid growth of hiking tourism presents a critical challenge for balancing visitor safety with the sustainable management of ecologically fragile mountain environments. Traditional models developed in urban settings struggle to capture the highly non-linear, heterogeneous, and zero-inflated characteristics of wilderness trekking behavior. In order to quantify the nonlinear and threshold-based effects of environmental variables on hikers’ spatial decisions in unstructured wilderness and to identify distinct behavioral regimes for segmented management, this study introduces an explainable machine learning framework to reconstruct hikers’ spatial decision-making in a complex mountainous system in Inner Mongolia, China. Random Forest (RF), XGBoost, and LightGBM were compared in predicting trail density and the Euclidean distance to the nearest trail. Results show that transforming behavioral traces into continuous proximity surfaces dramatically improves model performance, with XGBoost achieving the highest predictive accuracy for Trail_Dist. By integrating the SHapley Additive exPlanations framework, this study moves beyond black-box prediction to reveal the nonlinear mechanisms driving hiker behavior. Key findings include: (1) Nighttime light range exhibits a U-shaped threshold effect as the primary anthropogenic attractor. (2) Elevation shows an exponential inhibitory trend above 1238 m. (3) Strong spatial coupling exists between elevation and slope, alongside a landscape compensation effect where high Normalized Difference Vegetation Index (NDVI) areas attract off-trail movements. This research provides a robust methodological pathway for predicting behavior in unstructured outdoor environments. It offers a scientific foundation for smart scenic area management, including optimized route planning, precise ecological protection zoning, and targeted emergency rescue preparedness. Full article

The emerging concept of circular parks positions protected areas as active generators of shared value, as they integrate biodiversity conservation with natural resource optimization, local economies, and social cohesion. This perspective challenges traditional passive management by applying circular economy principles to parks as dynamic territorial organisms embedded within a regional socio-ecological metabolism. The research explores and tests circular park approaches starting from forest-related resource flows in areas where ecological richness coexists with socio-economic fragility. Focusing on the case study of the Madonie Regional Park (Sicily, Italy), the research investigates alternative pathways for the reuse of retrievable biomass by relating material flows to local social, economic, and cultural activities potentially involved in circular processes. This study supports the design of recycling, repurpose, and re-vision strategies to transform residual biomass into regenerative local value and strengthen the territorial resilience in inner areas characterized by demographic fragility despite being endowed with significant environmental and cultural capital. Through a design-oriented approach, the research experiments with alternative circular strategies in a case study, proposing a shift from extractive and mono-output models towards multi-output approaches and from an energy-centered towards a community-centered model. This perspective emerges not only as a cultural challenge but also as an opportunity to build an operational and replicable planning practice within the Italian and European park system, contributing to the debate on the ecological transition of fragile territories. Full article

Italian inner areas face population decline, limited access to services and fragile infrastructure; however, the micro-mechanisms through which community practices generate tangible improvements often remain unclear. Still, local communitarian initiatives, such as those represented by ecovillages, can be an effective response to the ongoing process of marginalisation, becoming true living labs for place-based transitions. Through the analysis of the Torri Superiore Ecovillage (Imperia, Italy), a recognised and well-known good practice in the national and international ecovillage circuit, we want to find answers to three research questions: (RQ1) To what extent can an ecovillage act as a living lab for social innovation and ecological transition in inner areas? (RQ2) Which demographic and governance conditions enable territorial resilience and which ones block it? (RQ3) Which environmental practices generate locally significant improvements and with what limitations? Based on qualitative and interpretative evidence (2016–2025)—field observations, internal documents and testimonies—and on essential demographic indicators (ISTAT/SNAI), this study examines the Torri Superiore Ecovillage as a small-scale living lab. Torri Superiore and the surrounding municipalities are ageing and have reduced demographic bases; however selective immigration and heterogeneity of skills act as partial buffers. The governance of the Torri Superiore Ecovillage combines clear rules, participatory routines and coordination mechanisms, promoting problem solving while remaining sensitive to leadership burdens. The “bridging” between multiple actors enables terrace maintenance, local water resource management, agroecological practices, renewable energy adoption, waste prevention/composting and light mobility to achieve tangible environmental improvements on a small scale. We frame transferability as analytical (not statistical), specify the enabling conditions (sufficient active participants, stable routines, territorial management) and outline the relevant policy implications for SNAI classes and a lightweight longitudinal observatory. Full article

The spatiotemporal evolution of ecosystem services has a profound influence on the fragile eco-environment in Inner Mongolia and the arid/semi-arid and the ecological barrier regions of Northern China; in particular, the small-scale and high-value land variables may lead to large eco-environment effects through altering the ecosystem services, which is still unclear in this vulnerable area. The differential driving mechanism of both human activities and natural factors on ecosystem services also needs to be revealed. To solve this scientific issue, the synergistic methodology of spatial analysis technology, the improved ecosystem service assessment method, flow gain/loss model, global/local Moran’s I approach, and the Geographically and Temporally Weighted Regression (GTWR) model were applied. Our main results are as follows: remote sensing monitoring showed that the land changes featured a persistent expansion of cropland and built-up areas, with a decline in grassland and wetland, along the east–west gradient from forests, grasslands, and unused-lands, to become the dominant cover type. According to our improved model, the ecosystem services considering the internal structure of build-up lands were first investigated in this ecologically fragile area of China, and the evaluated ecosystem service value (ESV) reduced from CNY 5515.316 billion to CNY 5425.188 billion, with an average annual decrease of CNY 3.004 billion from 1990 to 2020. Another finding was that the small-scale land variables with large ecological service impacts were quantified; namely, the proportion of grassland, woodland, wetland, and water body decreased from 62.71% to 61.34%, with only a relatively minor fluctuation of −1.37%, but this decline resulted in a large ESV loss of CNY 116.141 billion from 1990 to 2020. From the driving perspective, the temperature, digital elevation model (DEM), and slope exhibited negative effects on ESV changes, whereas a positive association was analyzed in terms of the precipitation and human footprint during the studied period. This study provides important support for optimizing land resource allocation, guiding the development of agriculture and animal husbandry, and protecting the ecological environment in arid/semi-arid and ecological barrier regions. Full article

The interaction between humans and water has historically shaped landscapes, in which rivers played a central role in the development of territories. Among the infrastructures developed to manage water resources, watermills had always represented a key element of minor cultural heritage, reflecting centuries of adaptation to environmental, economic, and technological conditions. Although once central to river landscapes, these structures are now largely forgotten and at risk of being lost, particularly in Italy’s inner areas affected by rural depopulation, climate change, and natural hazards. The case analyzed in this paper, part of a larger research project, focuses on the analysis of watermills in the Aterno River valley in the Abruzzo region of central Italy. This fragile mountainous area is currently threatened by natural hazards and depopulation. The aim is to fill the gap in documentation on this “minor heritage,” which has been identified and cataloged, along a timeline of its vulnerabilities, starting from historical cartography, integrated with a localized field survey within a geographic information system. The GIS facilitates the cross-referencing of historical, geospatial, and environmental data, including hydrogeological and flood risk information. The results demonstrate how water, once a resource, has become a vulnerability factor and highlights the fragility of these historic artifacts, contextualized within the surrounding landscape. Full article

This study focuses on Hohhot (the capital city of Inner Mongolia Autonomous Region, northern China), a representative arid-semi-arid town in northern China. Against the backdrop of concurrent rapid urbanization and ecological constraints, it undertakes a systematic investigation into the spatiotemporal evolution and driving mechanisms of ecological asset utilization efficiency, aiming to furnish scientific evidence for sustainable development in ecologically fragile urban areas. Employing a “technology-scale-structure” analytical framework and constructing an “input-output-benefit” evaluation system, this research integrates the super-efficiency slack-based measure (SBM) model with spatial analysis methodologies to conduct multidimensional assessments of ecological asset utilization efficiency across all administrative districts and counties from 2000 to 2020. Empirical results demonstrate an overall upward trajectory in Hohhot’s ecological asset utilization efficiency, with comprehensive efficiency increasing from 1.132 in 2000 to 1.397 in 2020. However, pure technical efficiency and scale efficiency exhibit significant asynchrony, reflecting inherent tensions between technological advancement and scale expansion. Spatially, efficiency distribution manifests substantial spatial clustering and heterogeneity, with identified hotspots demonstrating temporal migration patterns. Peripheral counties exhibit distinct “technological isolation” phenomena and diseconomies of scale. Mechanism analysis reveals that industrial structure optimization constitutes the primary driver of efficiency enhancement, while the catalytic effects of economic development and governmental investment exhibit diminishing marginal returns. Urbanization maintains a moderate influence, transitioning from extensive spatial expansion toward intensive functional upgrading. This study recommends a synergistic enhancement of ecological asset utilization efficiency through strategic pathways, including the following: First, advancing green industrial transformation. Second, establishing regional technology-sharing platforms. Third, implementing systematic ecological compensation mechanisms. Fourth, adopting spatially differentiated governance approaches. These measures are projected to foster coordinated environmental and economic development. This research provides theoretical underpinnings and policy implications for urban ecological asset management in arid and semi-arid regions globally. Full article

Soil fertility is the essential attribute of soil quality. Large-scale coal mining has led to the continuous deterioration of the fragile ecosystems in arid and semi-arid mining areas. As one of the key indicators for land ecological restoration in these coal mining regions, rapidly and accurately monitoring topsoil fertility and its spatial variation information holds significant importance for ecological restoration evaluation. This study takes Wuhai City in the Inner Mongolia Autonomous Region of China as a case study. It establishes and evaluates various soil indicator inversion models using multi-temporal Landsat8 OLI multispectral imagery and measured soil sample nutrient content data. The research constructs a comprehensive evaluation method for surface soil fertility based on multispectral remote sensing monitoring and achieves spatiotemporal variation analysis of soil fertility characteristics. The results show that: (1) The 6SV (Second Simulation of the Satellite Signal in the Solar Spectrum Vector version)-SVM (Support Vector Machine) prediction model for surface soil indicators based on Landsat8 OLI imagery achieved prediction accuracy with R² values above 0.85 for all six soil nutrient contents in the study area, thereby establishing for the first time a rapid assessment method for comprehensive topsoil fertility using multispectral remote sensing monitoring. (2) Long-term spatiotemporal evaluation of soil indicators was achieved: From 2015 to 2025, the spatial distribution of soil indicators showed certain variability, with soil organic matter, total phosphorus, available phosphorus, and available potassium contents demonstrating varying degrees of increase within different ranges, though the increases were generally modest. (3) Long-term spatiotemporal evaluation of comprehensive soil fertility was accomplished: Over the 10 years, Grade IV remained the dominant soil fertility level in the study area, accounting for about 32% of the total area. While the overall soil fertility level showed an increasing trend, the differences in soil fertility levels decreased, indicating a trend toward homogenization. Full article

Addressing the need to optimize human settlement quality in arid and semi-arid regions under rapid urbanization, this study innovatively constructs an evaluation framework integrating greenness, thermal conditions, impervious surfaces, water bodies, and air transparency. Focusing on 12 prefecture-level cities in Inner Mongolia, Northern China, it systematically reveals the spatial differentiation characteristics and driving mechanisms of human settlement quality. Findings indicate the following: (1) Regional human settlement quality exhibits a spindle-shaped structure dominated by the medium grade (Excellent: 18.13%, High: 23.34%, Medium: 46.48%, Low: 12.04%), with Ulanqab City having the highest proportion of Excellent areas (25.26%) and Ordos City the lowest proportion of Low-grade areas (6.20%), reflecting a critical transition period for regional quality enhancement. (2) Spatial patterns show pronounced east-west gradients and functional differentiation: western arid zones display significant blue-green space advantages but face high-temperature stress and rigid water constraints, eastern humid zones benefit from superior ecological foundations with weaker heat island effects, the core Hetao Plain experiences strong heat island effects due to high impervious surface density, while industrial cities confront prominent air pollution pressures. Consequently, implementing differentiated strategies—strengthening ecological protection/restoration in High/Low-grade zones and optimizing regulation to drive upgrades in Medium-grade zones—is essential for achieving three sustainable pathways: compact development, blue-green space optimization, and industrial upgrading, providing vital decision-making support for enhancing human settlement quality and promoting sustainable development in ecologically fragile cities across northern China. Full article