Search Results (76)

This study employs k-means clustering to analyze local organizations responsible for land improvement in Greece, identifying four distinct groups with consistent geographic patterns but divergent financial and operational characteristics. By integrating unsupervised machine learning with spatial analysis, the research offers a novel perspective on irrigation water pricing and cost recovery. The findings reveal that organizations located on islands, despite high water costs due to limited rainfall and geographic isolation, tend to achieve relatively strong financial performance, indicating the presence of adaptive mechanisms that could inform broader policy strategies. In contrast, organizations managing extensive irrigable land or large volumes of water frequently show poor cost recovery, challenging assumptions about economies of scale and revealing inefficiencies in pricing or governance structures. The spatial coherence of the clusters underscores the importance of geography in shaping institutional outcomes, reaffirming that environmental and locational factors can offer greater explanatory power than algorithmic models alone. This highlights the need for water management policies that move beyond uniform national strategies and instead reflect regional climatic, infrastructural, and economic variability. The study suggests several policy directions, including targeted infrastructure investment, locally calibrated water pricing models, and performance benchmarking based on successful organizational practices. Although grounded in the Greek context, the methodology and insights are transferable to other European and Mediterranean regions facing similar water governance challenges. Recognizing the limitations of the current analysis—including gaps in data consistency and the exclusion of socio-environmental indicators—the study advocates for future research incorporating broader variables and international comparative approaches. Ultimately, it supports a hybrid policy framework that combines data-driven analysis with spatial intelligence to promote sustainability, equity, and financial viability in agricultural water management. Full article

Amid global environmental changes, urbanisation erodes nature connectedness, an important driver of pro-environmental behaviours and human well-being, exacerbating human-made risks like biodiversity loss and climate change. This study introduces a novel hybrid agent-based model (ABM), calibrated with historical urbanisation data, to explore how urbanisation, opportunity and orientation to engage with nature, and intergenerational transmission have shaped nature connectedness over time. The model simulates historical trends (1800–2020) against target data, with projections extending to 2125. The ABM revealed a significant nature connectedness decline with excellent fit to the target data, derived from nature word use in cultural products. Although a lifetime ‘extinction of experience’ mechanism refined the fit, intergenerational transmission emerged as the dominant driver—supporting a socio-ecological tipping point in human–nature disconnection. Even with transformative interventions like dramatic urban greening and enhanced nature engagement, projections suggest a persistent disconnection from nature through to 2050, highlighting locked-in risks to environmental stewardship. After 2050, the most transformative interventions trigger a self-sustaining recovery, highlighting the need for sustained, systemic policies that embed nature connectedness into urban planning and education. Full article

Guadua amplexifolia J. Presl is a Neotropical bamboo native to southern Mexico through Central America to Colombia, where it thrives in riparian zones of the San Jorge River basin. Despite its ecological and socio-economic importance, its environmental dynamics and provision of ecosystem services remain poorly understood. This study (1) quantifies spatial and temporal land use/cover changes in the municipality of Montelíbano between 2002 and 2022 and (2) evaluates the ecosystem services that local communities derive from in 2002, 2012, and 2022, and they were classified in QGIS using G. amplexifolia. We applied a supervised classification of Landsat imagery (2002, 2012, 2022) in QGIS, achieving 85% overall accuracy and a Cohen’s Kappa of 0.82 (n = 45 reference points). For the social assessment, we held participatory workshops and conducted semi-structured interviews with artisans, fishers, authorities, and NGO representatives; responses were manually coded to extract key themes. The results show a 12% decline in total vegetated area from 2002 to 2012, followed by an 8% recovery by 2022, with bamboo-dominated stands following a similar pattern. Communities identified raw material provision (87% of mentions), climate regulation (82%), and cultural–recreational benefits (58%) as the most important services provided by G. amplexifolia. This is the first integrated assessment of G. amplexifolia’s landscape dynamics and community-valued services in the San Jorge basin, highlighting its dual function as a renewable resource and a natural safeguard against environmental risks. Our findings offer targeted recommendations for management practices and land use policies to support the species’ conservation and sustainable utilization. Full article

The Mediterranean region is increasingly confronted with intersecting environmental, agricultural, and socio-economic challenges, including biowaste accumulation, soil degradation, and high dependency on imported fossil fuels. Biomethane, a renewable substitute for natural gas, offers a strategic solution that aligns with the region’s need for sustainable energy transition and circular resource management. This review examines the current state of biomethane production in the Mediterranean area, with a focus on anaerobic digestion (AD) technologies, feedstock availability, policy drivers, and integration into the circular bioeconomy (CBE) framework. Emphasis is placed on the valorisation of regionally abundant feedstocks such as olive pomace, citrus peel, grape marc, cactus pear (Opuntia ficus-indica) residues, livestock manure, and the Organic Fraction of Municipal Solid Waste (OFMSW). The multifunctionality of AD—producing renewable energy and nutrient-rich digestate—is highlighted for its dual role in reducing greenhouse gas (GHG) emissions and restoring soil health, especially in areas threatened by desertification such as Sicily (Italy), Spain, Malta, and Greece. The review also explores emerging innovations in biogas upgrading, nutrient recovery, and digital monitoring, along with the role of Renewable Energy Directive III (RED III) and national biomethane strategies in scaling up deployment. Case studies and decentralised implementation models underscore the socio-technical feasibility of biomethane systems across rural and insular territories. Despite significant potential, barriers such as feedstock variability, infrastructural gaps, and policy fragmentation remain. The paper concludes with a roadmap for research and policy to advance biomethane as a pillar of Mediterranean climate resilience, energy autonomy and sustainable agriculture within a circular bioeconomy paradigm. Full article

This article examines the struggles for water justice led by women in the Aconcagua River Basin (Valparaíso, Chile) through a hydrofeminist perspective. Chile’s water crisis, rooted in a colonial extractivist model and exacerbated by neoliberal policies of water privatization, reflects a deeper crisis of socio-environmental injustice. Rather than understanding water merely as a resource, this research adopts a relational epistemology that conceives water as a living entity shaped by and shaping social, cultural, and ecological relations. Drawing on life-history interviews and the construction of a hydrofeminist cartography with women river defenders, this article explores how gendered and racialized bodies experience the crisis, resist extractive practices, and articulate alternative modes of co-existence with water. The hydrofeminist framework offers critical insights into the intersections of capitalism, colonialism, patriarchy, and environmental degradation, emphasizing how women’s embodied experiences are central to envisioning new water governance paradigms. This study reveals how women’s affective, spiritual, and territorial ties to water foster strategies of resilience, recovery, and re-existence that challenge the dominant extractivist logics. By centering these hydrofeminist life histories, this article contributes to broader debates on environmental justice, decolonial feminisms, and the urgent need to rethink human–water relationships within the current climate crisis. Full article

Approximately 2.5 billion tons of waste are generated annually worldwide, with food waste constituting a significant portion: 88 million tons in the European Union (EU) alone. Food waste has severe societal, economic, and environmental consequences, contributing 15–16% of greenhouse gas (GHG) emissions from the food supply chain. In response, many countries, including EU member states, the United States of America (USA), and China, have introduced policies mandating food waste sorting. These regulations are informed by scientific research on waste prevention, environmental impact assessments, and cost–benefit analyses of waste reduction strategies. For example, studies on organic waste treatment technologies, economic incentives for waste sorting, and the effectiveness of landfill bans have influenced the development of the EU Waste Framework Directive (2008/98/EC), China’s National Waste Classification Policy (2017), and the USA Food Recovery Act (2015). As waste management continues to evolve, understanding the economic, technological, and policy dimensions of food waste sorting remains crucial for achieving sustainable development and circular economy goals globally. This study systematically reviews the international literature on food waste sorting, analyzing sorting behaviors and identifying theoretical frameworks that explain these behaviors. Using the PSALSAR systematic review methodology, 67 relevant studies from diverse geographic regions were analyzed. The findings highlight the critical influence of external factors in shaping sorting behaviors, such as financial incentives and infrastructure, alongside internal drivers, such as environmental awareness and social norms. While external measures often yield immediate compliance, internal motivation fosters long-term behavioral changes. Moreover, significant regional and cultural variations in food waste sorting practices were identified. The Theory of Planned Behavior (TPB) emerged as a dominant framework in the study of waste sorting behaviors, often complemented by other models such as Social Cognitive Theory (SCT). Policy recommendations emphasize the need for tailored interventions that address regional and demographic differences, community-driven educational initiatives, and the integration of innovative waste sorting technologies. Future research should focus on assessing the economic and psychological impacts of waste sorting policies across different socio-cultural contexts and exploring innovative strategies to enhance global public participation in food waste management. Full article

Many developed countries face an increasing crisis of waste management, especially regarding inadequate disposal capacities and insufficient systems for waste sorting and recovery. These insufficiencies harmfully affect environmental quality, human health, and overall urban life. Waste management is largely linked with disposal, collection, and recycling. Instead of being a critical public utility, solid waste management often goes unnoticed—until it fails. The complete system failure can escalate into a global crisis. Italy presents a critical case to evaluate waste management’s role in achieving Sustainable Development Goals, given the diversity of the country and its adherence to strict EU regulations. The country has taken important steps to adopt the principles of the circular economy, mainly through recycling and waste-to-energy initiatives. The Sustainable Development Goals are also linked to waste management, and there are specific goals with targets and indicators that focus on waste management outcomes. This paper has assessed the national achievement of Italy in waste management concerning the SDGs. SDGs 6, 7, 11, and 12, with a specific focus on the targets impacted by integrated waste management in Italy, are the focus of this paper, and the achievement of waste indicators under SDGs 6, 7, 11, and 12 is analyzed. The paper also assesses the relationship between social, economic, and geographical variables in the achievement of the mentioned SDGs, and also the impacts of the social, economic, and geographical contexts of inhabitants on the achievements of the SDGs. The paper has utilized the national dataset on SDGs and available data on socio-economic and geographic variables. The paper applied descriptive statistics, Pearson’s Correlation, Partial Least Square Regression (PLSR), and Elastic Net Regression, emphasizing the relationship between the waste indicators of SDGs and social, economic, and geographical factors. The paper resulted in a significant association between the outcomes of waste management indicators of SDGs and demographic variables. Full article

Reducing total waste generation, increasing the rate of separate collection, and ensuring efficient material recovery are three key objectives recognized at the UN, EU, and national levels for achieving a sustainable waste management system. The policy and scientific debate has traditionally been polarized around two main collection systems: door-to-door and street collection, each with its own strengths and weaknesses. However, in recent years, hybrid waste collection models, which aim to integrate the advantages of both systems, have gained increasing attention. The impact of these models on sustainability, as well as the social mechanisms underlying their success or failure, remain underexplored. This paper analyzes a case study of a hybrid waste collection innovation implemented in eight small and medium-sized municipalities in Piedmont, Italy. The study has a twofold objective: (1) assessing the economic and environmental impacts of the system and (2) hypothesizing the social mechanisms that generate these effects. To address these research gaps, we develop a theoretical framework that combines the socio-technical system approach with analytical sociology. The framework is then operationalized through a quasi-experimental research design, which allows us to measure the effects of the hybrid innovation on a set of 17 indicators. The analysis is conducted by comparing the treated municipalities with a control group selected for its similarity. Empirical evidence reveals an unexpected and partially contradictory outcome: while the total amount of waste decreases, this reduction is not offset by a proportional increase in separate collection rates. Moreover, the quality of waste separation worsens. To explain this emerging pattern, we formulate a set of hypotheses—grounded in our theoretical framework—on the key factors influencing individual behavioral responses. Our provisional conclusion, which requires further qualitative validation, suggests that the interplay between economic incentives and social control in a context of imperfect awareness leads to ambiguous effects of hybridization in waste collection systems. Full article

Extreme weather events are increasing the frequency and intensity of forest fires, generating serious environmental and socio-economic impacts. These fires cause soil loss through erosion, organic matter depletion, increased surface runoff and the release of greenhouse gases, intensifying climate change. They also affect biodiversity, terrestrial and aquatic ecosystems, and soil quality. The assessment of forest fires by remote sensing, such as the use of the Normalised Difference Vegetation Index (NDVI), allows rapid analysis of damaged areas, monitoring of vegetation changes and the design of restoration strategies. On the other hand, models such as RUSLE are key tools for calculating soil erosion and planning conservation measures. A study of the impacts on soils and vegetation in the south of Salamanca, where one of the worst fires in the province took place in 2022, has been carried out using RUSLE and NDVI models, respectively. The study confirms that fires significantly affect soil properties, increase erosion and hinder vegetation recovery, highlighting the need for effective restoration strategies. It was observed that erosion intensifies after fires (the maximum rate of soil loss before is 1551.85 t/ha/year, while after it is 4899.42 t/ha/year) especially in areas with steeper slopes, which increases soil vulnerability, according to the RUSLE model. The NDVI showed a decrease in vegetation recovery in the most affected areas (with a maximum value of 0.3085 after the event and 0.4677 before), indicating a slow regeneration process. The generation of detailed cartographies is essential to identify critical areas and prioritise conservation actions. Furthermore, the study highlights the importance of implementing restoration measures, designing sustainable agricultural strategies and developing environmental policies focused on the mitigation of land degradation and the recovery of fire-affected ecosystems. Full article

This study examines a range of aspects relating to the projected waste generation in Bihor County, Romania from 2020 to 2040, focusing on key milestones set for 2020, 2025, 2030, 2035, and 2040. The analysis incorporates socio-economic, macroeconomic, and demographic factors, along with household income, economic activities, and waste composition, in order to obtain accurate projections. Furthermore, this study evaluates the current state of waste management, identifies deficiencies, and proposes targeted objectives. The assessment methodology considers targets such as increasing waste reuse and recycling rates, reducing biodegradable waste landfilling, enhancing energy recovery, and improving separate waste collection systems. Three alternative waste management strategies are analyzed, including a “zero” alternative (i.e., maintaining the current system) and two investment-driven alternatives. The evaluation integrates both quantitative criteria—such as financial viability and environmental impacts—and qualitative factors, including market risk and adherence to circular economy principles. Through a comprehensive analysis, this study offers a robust foundation for strategic decision-making in the context of sustainable waste management and the efficient implementation of waste treatment practices in Bihor County. Full article

The Darfur conflict, which emerged in the early 21st century, represents a multifaceted crisis driven by socio-political and environmental factors, with resource scarcity, exacerbated by climate change, playing a pivotal role in intensifying tensions between agricultural and pastoral communities. While climate change is typically associated with adverse environmental outcomes, an analysis of data spanning four decades (1980–2023) reveals a contrasting trend of increased precipitation, enhanced vegetation, and decreased drought frequency in recent years. This research explores the potential of these positive environmental changes to mitigate resource-based conflicts and foster political stability in Darfur as improved environmental conditions are posited to create a foundation for conflict resolution and sustainable peacebuilding. The present study integrates trends in the Enhanced Vegetation Index (EVI) and the Standardized Precipitation Evapotranspiration Index (SPEI) to examine these shifts. EVI data, derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) at a 250 m resolution, was used to assess large-scale vegetation patterns in arid and semi-arid landscapes. The Autoregressive Integrated Moving Average (ARIMA) model was employed to forecast future precipitation scenarios up to the year 2034, enhancing the understanding of long-term climatic trends. Data processing and analysis utilized advanced tools, including Google Earth Engine (GEE), ArcGIS Pro (version 3.4), and R software (version 4.3.2). The findings reveal a significant (33.19%) improvement in natural vegetation cover between 2000 and 2023, with degraded and unchanged areas accounting for 1.95% and 64.86%, respectively. This finding aligns with a marked increase in annual precipitation and a reduction in drought intensity over the study period. Historical SPEI analysis showed persistent drought events between 1980 and 2012, followed by a notable decline in drought frequency and severity from 2013 to 2024. Precipitation projections suggest a stable trend, potentially supporting further vegetation recovery in the region. These environmental improvements are preliminarily linked to climate-change-induced increases in precipitation and reductions in drought severity. This study’s findings contribute to a nuanced understanding of the interplay between environmental dynamics and socio-political stability in Darfur, offering actionable insights for policy interventions aimed at fostering sustainable peace and resilience in the region. Full article

Large wildfires have increased in the Mediterranean region due to socio-economic and land-use changes. The most immediate and concerning consequence of the wildfires is the loss of vegetation. However, there are few studies on the relationship between wildfire and vegetation recovery, especially on the complex relationship between species composition, burn severity and geo-environmental context. This study focuses on the analysis of post-fire vegetation regrowth (RV) in Mediterranean forests. Therefore, two objectives were set: (i) to analyse the influence of pre-fire conditions, burn severity and topographic variables on growth rates for each stage of recovery and (ii) to identify the drivers of post-fire vegetation recovery. The results show that NDVI increases rapidly in the first two years after the wildfire and more slowly in the following years. Except for the first year, RV shows a positive relationship with burn severity. In the first year, the importance of topographical features, especially curvature and flow accumulation, stands out. In the fourth year, when NDVI values are highest, RV is mainly explained by the presence of pre-fire vegetation, followed by burn severity and altitude. These results can be an important step towards more effective local management strategies leading to a resilient and sustainable territory. Full article

This study examines methods for assessing the risks of energy systems that supply urban areas based on an integrated approach in which a qualitative assessment takes into account internal and external impacts as an element of a multifactorial analysis. A risk matrix is offered for risk assessment, which was built for energy infrastructure facilities and takes into account the features of the functioning of energy equipment which is potentially dangerous due to the probability of failures on a five-point scale and the possible degree of severity of the consequences due to the possibility of restoring the systems. The study proposes two statistical models for the assessment of reliability parameters before the onset of a critical situation and calculations after a critical event, i.e., the probability of the restoration or adaptation of the energy system object being analyzed and the degree of such restoration. This approach allows for the consideration of risks, taking into account both the technical condition of power equipment and environmental aspects, including their mutual influence, for sustainable management. This approach evaluates the energy system’s failure intensity and recovery probability based on the parameters developed to assess the system functionality and resilience effectively. A risk assessment using reliability parameters based on maximum likelihood estimation (MLE) showed that when sampling statistical data with a total number of n = 10, the accuracy of risk assessment according to indicator parameters increases by 15%, which is especially relevant for the potential safety of urban energy systems. A list of threats is proposed for the multifactorial risk analysis of an energy company based on an expert assessment of their likelihood and consequences. The constructed risk matrix reduces the level of threat, which helps to increase the efficiency of risk management both at the stages of planning and forecasting and during operation, including the management of socio-economic consequences. Full article

The study of urban floods is increasingly crucial due to their growing frequency and impact on densely populated areas, often characterized by inadequate drainage and located in flood-prone zones. The consequences extend beyond physical damage, significantly affecting economies and livelihoods, necessitating substantial economic resources for recovery and infrastructure rebuilding. Urban planning now must integrate flood risk management, emphasizing not only infrastructural resilience but also comprehensive policies that address environmental and social vulnerabilities to better prepare and protect urban environments against future flood risks. This study addresses the critical issue of urban flood vulnerability through a focused analysis of Morelia, a city known for its susceptibility to flooding due to its geographical and hydrological characteristics and accelerated urban growth. Employing a multifaceted approach that integrates hydrological, socio-economic, and land use data within a Geographic Information Systems (GIS) framework, the research develops a Spatial Flood Vulnerability Index (SFVI). This index is meticulously applied at the urban block level, offering a precise mapping of flood risks across the city. By correlating the SFVI results with historical flood data, the study identifies the most vulnerable areas in Morelia, which are primarily impacted due to their proximity to water bodies, economic density, and infrastructural settings. The methodology not only highlights immediate flood risks but also aids in strategic urban planning to enhance resilience against future flooding events. This paper contributes a novel approach to flood risk assessment, providing a replicable model for similarly affected cities worldwide, aiming to balance structural measures with strategic planning tailored to local needs. Full article

The construction industry is a major contributor to global greenhouse gas emissions, driven by the extensive use of conventional concrete in building activities. This study evaluates the environmental impacts of various concrete types, including innovative alternatives, using a computational life cycle assessment (LCA) model tailored to the Australian context. Key stages considered include raw material extraction, production, transportation, and end-of-life recycling. Results demonstrate that replacing 40% of cement with supplementary cementitious materials (SCMs) such as fly ash reduces global warming potential (GWP) by up to 25% compared to conventional concrete. Furthermore, carbonation curing technology shows a 15% reduction in ${\mathrm{C}\mathrm{O}}_2$ emissions during the production phase, underscoring its potential to significantly enhance sustainability in construction. High-strength concrete poses significant ecological challenges; however, incorporating SCMs such as fly ash, blast-furnace slag, and silica fume effectively mitigates these impacts. Recycling 60% of concrete demolition waste further decreases environmental impacts by over 20%, aligning with circular economy principles and supporting resource recovery. The findings provide actionable insights for engineers, architects, and policymakers, facilitating the design of sustainable concrete solutions that balance structural performance with reduced ecological footprints. Future research should explore dynamic modelling and broader socio-economic factors to refine sustainable practices. This study underscores the critical importance of adopting innovative materials and recycling practices to minimise the environmental impact of construction activities globally. Full article