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36 pages, 5898 KB  
Article
Solar PV Power Plant Site Selection and Energy Production Potential in Southeastern Europe Using GIS, Remote Sensing, and Fuzzy AHP
by Uroš Durlević, Vladimir Malinić, Dejan Doljak, Dragana Valjarević, Marko Sedlak, Dušica Jovanović, Milan Milenković, Aleksandar Kovjanić, Marko V. Milošević, Slavica Malinović-Milićević and Aleksandar Valjarević
Clean Technol. 2026, 8(4), 99; https://doi.org/10.3390/cleantechnol8040099 - 6 Jul 2026
Abstract
Due to increasing demand and consumption of electricity, as well as the need to decarbonize and mitigate climate change, solar energy is an important factor in the transition to emission-free energy sources. This study focuses on identifying the most suitable locations for the [...] Read more.
Due to increasing demand and consumption of electricity, as well as the need to decarbonize and mitigate climate change, solar energy is an important factor in the transition to emission-free energy sources. This study focuses on identifying the most suitable locations for the construction of large solar photovoltaic (PV) power plants while respecting environmental, economic, and technical standards. The study area covers the mainland part of Southeastern Europe (796,039 km2), including the following countries: Slovenia, Croatia, Bosnia and Herzegovina, Serbia, Montenegro, North Macedonia, Albania, Greece, Bulgaria, Romania, Moldova, and Türkiye. Using geographic information systems (GIS) and remote sensing methods, nine factors (topographic, climatic, hydrological, ecological, vegetation, and anthropogenic) were analyzed with a spatial resolution of 100 m. A fuzzy analytic hierarchy process (F-AHP) pairwise comparison matrix was constructed to quantify the relative importance of the selected criteria. The F-AHP weighting results indicate that photovoltaic output (17.9%) and land use (15.7%) are the most important among the evaluated criteria. The results show that 6.7% of Southeastern Europe is very highly suitable for installing solar PV plants, with the most suitable areas located in Moldova (14.5%) and Greece (10.5%). Through spatial analysis of the final results, 24 of the most suitable locations for large-scale solar PV power plant development were identified, with a potential to generate approximately 30.2 TWh of electricity annually. In such a scenario, the forecast indicates that 24 large-scale solar power plants would supply electricity to more than 6.7 million households, corresponding to over 17 million inhabitants. The final spatial patterns provide decision-makers at the international level with a significantly more effective basis for planning solar energy development in order to increase the share of green energy and clean technologies in this part of Europe. Full article
23 pages, 6401 KB  
Article
Gradient Effects of Vegetation Cover and Carbon Sequestration in Highway Corridors: A Case Study of Shandong Province, China
by Jianchen Yao, Jinru Hu, Xuxu Zong, Xudong Lu, Zhenlei Lv and Qi Shi
Sustainability 2026, 18(13), 6857; https://doi.org/10.3390/su18136857 - 6 Jul 2026
Abstract
Highway corridors are increasingly being discussed not only as zones of ecological disturbance but also as components of regional green infrastructure with potential carbon sequestration functions, yet their long-term evolutionary characteristics and multi-scale associated factors remain insufficiently understood. Using multi-source time-series data from [...] Read more.
Highway corridors are increasingly being discussed not only as zones of ecological disturbance but also as components of regional green infrastructure with potential carbon sequestration functions, yet their long-term evolutionary characteristics and multi-scale associated factors remain insufficiently understood. Using multi-source time-series data from 2000 to 2023, we developed an analytical framework integrating the CASA model, Random Forest, and geographically weighted regression (GWR). To ensure methodological rigor, we implemented a Spatial K-fold Cross-Validation strategy and incorporated Partial Dependence Analysis (PDA) to identify non-linear thresholds. The results indicate that: (1) Vegetation carbon sequestration within Shandong’s highway corridors increased significantly, with total sequestration rising from 5.54 × 106 t in 2000 to 1.55 × 107 t in 2023, representing an average annual growth rate of approximately 5.0%. This growth transitioned from a relatively stable phase to a more rapid growth phase. (2) A clear distance-related ecological pattern was observed. Statistical tests (Kruskal–Wallis H test) confirmed that vegetation carbon sequestration exhibited a significant non-monotonic gradient (p<0.05), with a stable peak zone observed 50–100 m from the roadbed. This peak zone is associated with a spatial “trade-off” pattern between the attenuation of traffic-related stressors and roadside ecological management. (3) The observed spatial pattern was associated with a nonlinear coupling of natural background conditions and human disturbance. Precipitation and temperature were the dominant associated factors, while PDA further identified a critical precipitation threshold (~750 mm) and localized tipping points for human interference, with a distinct road-disturbance-sensitive zone evident within 200–500 m. The results suggest that high-standard ecological design and active restoration measures are associated with lower ecological disturbance and higher vegetation carbon sequestration performance in some highway corridors. However, these relationships should be interpreted cautiously, as they may also be influenced by differences in climate background, topography, land-use context, and road construction history. These findings provide empirical evidence to inform differentiated ecological restoration and low-carbon management of traffic corridors. Full article
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19 pages, 962 KB  
Article
Climate Change Action and Climate Geoengineering Under Neorealism
by Filipe Duarte Santos and Yvette Ramos
Sustainability 2026, 18(13), 6850; https://doi.org/10.3390/su18136850 - 6 Jul 2026
Abstract
Climate change politics has been largely analyzed through the lenses of a liberal international order. This is the most favorable approach, because liberalism contains a powerful universalistic strand, defends the rights of people, and engages in multilateral negotiations and agreements, which are important [...] Read more.
Climate change politics has been largely analyzed through the lenses of a liberal international order. This is the most favorable approach, because liberalism contains a powerful universalistic strand, defends the rights of people, and engages in multilateral negotiations and agreements, which are important to deal with a global issue that requires intra- and intergenerational solidarity. Yet despite robust scientific consensus and decades of international multilateral agreements under the United Nations, global greenhouse-gas atmospheric concentrations continue to increase, and high fossil-fuel dependence persists. One may say that without those negotiations, the situation would be worse, but humanity is increasingly distant from complying with the objective of the United Nations Framework Convention on climate change (UNFCCC). The present work addresses climate change politics under liberal and neorealist international orders and follows the Mearsheimer hypothesis of a transition from a unipolar liberal order to a bipolar neorealistic bounded orders dominated by the US and China. The effect of international orders on sustainability and, more specifically, on climate change politics is analyzed with a methodology based on three structural determinants: (1) the world evolution of climate change variables; (2) primary-energy sources and critical minerals, and (3) climate change responses—mitigation, adaptation and climate geoengineering. The distinct energy and climate policies of the US and China are discussed using these structural determinants. US climate change policy appears to be less driven by climate observation, science and the severity of harmful impacts of climate change than by the vested interests of the fossil-fuel industry. It is argued that solar radiation manipulation (SRM) is a technological fix involving negative side-effects, uncertainties, risks and geopolitical implications, while lacking an agreed international governance framework. Potential deployment is more likely under a neorealistic international order, although it adds further uncertainty and risks without solving the climate change challenge. Full article
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25 pages, 18526 KB  
Article
Phylogenetic Inference and Ancestral Character Reconstruction of Diphyllobothriid Tapeworms (Cestoda: Diphyllobothriidae)
by Sisi Ru, Yanyan Zhou, Haijun Jiang, Huiran Zhang, Hongying Zhang and Xi Zhang
Animals 2026, 16(13), 2084; https://doi.org/10.3390/ani16132084 - 6 Jul 2026
Abstract
Some groups of Diphyllobothriid tapeworms can cause foodborne or waterborne taeniasis, yet their systematics and evolution remain poorly understood. Based on mitochondrial genome data, this study reconstructed the phylogenetic trees of 11 cestode orders using maximum likelihood and Bayesian methods, clarified the valid [...] Read more.
Some groups of Diphyllobothriid tapeworms can cause foodborne or waterborne taeniasis, yet their systematics and evolution remain poorly understood. Based on mitochondrial genome data, this study reconstructed the phylogenetic trees of 11 cestode orders using maximum likelihood and Bayesian methods, clarified the valid species of Spirometra, traced the evolutionary history of four key ecological traits, and estimated the divergence times of major groups. Phylogenetic analyses supported Diphyllobothriidea and Bothriocephalidea as distinct clades, with Diphyllobothriidea forming a sister group to Haplobothriidea. In addition, three novel types of mitochondrial gene arrangements were identified in tapeworms, and variations in these arrangement types appear to correspond to changes in proglottid morphology. Species validation has shown that the available Spirometra mitogenomes represent only four valid species. Phylogenetic analysis identified two genetic lineages within S. mansoni, and a comparison of their representative sequences showed that the differences mainly lie in 12 PCGs, 7 tRNAs, 2 rRNAs, and 2 mNCRs. Ancestral character reconstruction suggested that tapeworms likely originated from freshwater fish hosts, with gradual adaptation to terrestrial hosts representing the main pathway of diversification, whereas transitions to marine environments were independent evolutionary events occurring in only a few groups. Molecular clock analyses indicated that tapeworm diversification began in the mid-to-late Oligocene, with episodic species radiations in different groups closely linked to host diversification and climatic changes. Notably, most groups within the family Diphyllobothriidae radiated during the Pleistocene, whereas Spirometra radiated during the Pliocene, coinciding with the origin of human-specialized cestodes. This study clarifies the phylogenetic position of diphyllobothriid tapeworms, infers the evolutionary patterns of ancestral traits across different tapeworm groups, and provides a theoretical basis for elucidating the origin and species diversity of tapeworms, as well as for assessing the transmission risk of pathogenic species. Full article
(This article belongs to the Special Issue Recent Research in Animal Taxonomy)
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26 pages, 9045 KB  
Article
Remote Sensing-Based Identification of Spatial Spillovers and Transmission Pathways in the Heat–Energy–Carbon Nexus: Evidence from the Yangtze River Delta
by Gaoneng Lai, Lei Jiang, Yingbiao Chen, Shitai Bao, Jinxin Duan and Zuojie Zhu
Remote Sens. 2026, 18(13), 2222; https://doi.org/10.3390/rs18132222 - 6 Jul 2026
Abstract
The urban heat island (UHI) effect represents a critical urban climate phenomenon arising from the combined pressures of rapid urbanization and climate warming. Although its association with carbon emissions has received increasing scholarly attention, the underlying behavior-mediated pathways and cross-regional spillover patterns remain [...] Read more.
The urban heat island (UHI) effect represents a critical urban climate phenomenon arising from the combined pressures of rapid urbanization and climate warming. Although its association with carbon emissions has received increasing scholarly attention, the underlying behavior-mediated pathways and cross-regional spillover patterns remain insufficiently understood. Using multi-source geospatial data for the Yangtze River Delta urban agglomeration from 2014 to 2023, this study develops a multi-scale analytical framework integrating 1 km urban agglomeration exploratory analysis and 5 km spatial econometric modeling. Anthropogenic Energy Activity Intensity (AEAI) is constructed as a proxy for energy-related human activities, and a spatial Durbin model, combined with a spatial mediation approach, is employed to examine the spatial associations and statistically mediated pathways within the “heat-energy-carbon” nexus. The results indicate that: (1) carbon emissions exhibit significant positive spatial spillover effects, consistent with thermal diffusion processes and socioeconomic network interactions; (2) AEAI represents a substantial partial statistical mediation pathway in the association between UHI and carbon emissions, accounting for 44.63% of the total association. This suggests that the UHI–carbon emission linkage is partly embedded in spatial patterns of energy-intensive human activities rather than reflecting a purely direct thermal effect. These findings suggest that regional climate governance may need to move beyond single-city interventions and purely physical cooling strategies toward integrated approaches that combine cross-regional coordination with behavioral regulation. Promoting passive cooling-oriented urban planning and demand-side energy transitions may help reduce carbon lock-in risks and support the development of climate-resilient urban agglomerations. Full article
(This article belongs to the Section Urban Remote Sensing)
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27 pages, 11400 KB  
Article
Characterizing Short-Duration Summer Rainstorms in Nanjing, China, Using Multi-Source Remote Sensing and Explainable AI
by Yiding Wang, Ningxin Yong, Siyu Zhu and Yang Hong
Remote Sens. 2026, 18(13), 2212; https://doi.org/10.3390/rs18132212 - 5 Jul 2026
Abstract
With global warming and rapid urbanization, short-duration summer rainstorms are becoming more intense and localized, posing growing challenges to urban flood resilience. However, their spatiotemporal characteristics, vertical structures, and environmental drivers remain poorly understood. Here, we combine multi-source remote sensing datasets and China’s [...] Read more.
With global warming and rapid urbanization, short-duration summer rainstorms are becoming more intense and localized, posing growing challenges to urban flood resilience. However, their spatiotemporal characteristics, vertical structures, and environmental drivers remain poorly understood. Here, we combine multi-source remote sensing datasets and China’s new-generation satellite-borne dual-frequency precipitation radar observations to investigate summer rainstorms in Nanjing, China, during 2017–2024. Results reveal pronounced spatiotemporal heterogeneity, with higher rainfall intensities concentrated over urban and adjacent areas. During the study period, rainstorm intensity and duration increased by 7.44% and 38.63%, respectively, while the affected area decreased by 8.18%, indicating a transition toward more localized yet more intense rainfall events. Environmental analyses suggest that large-scale thermodynamic conditions and regional topographic forcing provide a favorable background for convection development, while local urban thermal effects may further modulate rainfall enhancement. Three-dimensional radar detection of an illustrative rainstorm event indicates an inverted-cone vertical structure, suggesting a mixed convective-stratiform precipitation structure involving both warm-rain and ice-phase processes. An Explainable Bayesian-Optimized XGBoost (EBOX) model further identifies near-surface air temperature and specific humidity as the primary environmental factors associated with rainstorm occurrence and development. Overall, this study highlights the value of integrating satellite remote sensing with explainable artificial intelligence to improve understanding of urban extreme rainfall and provide new insights into how climate change, topography, and urbanization jointly shape precipitation extremes in rapidly urbanizing monsoon regions. Full article
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17 pages, 12424 KB  
Article
Simulating Impacts of Climate Change on Young-Aged Forest Succession and Carbon Dynamics
by Wonhee Cho and Dongwook W. Ko
Forests 2026, 17(7), 794; https://doi.org/10.3390/f17070794 - 4 Jul 2026
Abstract
Young forests are recognized as important contributors to climate change mitigation due to their high productivity. However, their structural simplicity and transitional nature render them ecologically vulnerable to long-term climatic stress. We explored the long-term responses of young forests to climate change by [...] Read more.
Young forests are recognized as important contributors to climate change mitigation due to their high productivity. However, their structural simplicity and transitional nature render them ecologically vulnerable to long-term climatic stress. We explored the long-term responses of young forests to climate change by applying the LANDIS-II forest landscape model coupled with a PnET-based physiological model to simulate 200 years of forest succession and carbon dynamics. Simulations were conducted under three climate scenarios (BAU, RCP45, and RCP85) to evaluate changes in aboveground biomass (AGB), carbon storage, and carbon absorption across elevation gradients. The results revealed that climate change significantly altered successional pathways and carbon capacity, with effects varying with elevation and initial species composition. Predominant species such as Quercus mongolica maintained dominance under the RCP45 and RCP85 scenarios across all elevations, whereas shade-tolerant mid and understory species showed suppressed growth. Sub-alpine species showed prominent declines in AGB, particularly in the RCP85 scenario. These divergent responses increased the spatial heterogeneity of forest productivity and reduced the predictability of forest carbon dynamics over time. Our findings emphasize the uncertainty of predicting forest development and carbon sequestration in young forests under future climatic conditions. They highlight the urgent need to plan forest management strategies incorporating site-specific ecological characteristics, promote successional advancement, and maintain functional stability for effective climate adaptation and mitigation. Full article
(This article belongs to the Special Issue Impacts of Climate Change and Disturbances on Forest Ecosystems)
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34 pages, 7396 KB  
Article
A Dynamic Succession-Based Life-Cycle Simulation Model for Projecting Carbon Source–Sink Transitions in Urban Plant Communities
by Xiaxi Liuyang, Jiayu Lu and Yang Cao
Biology 2026, 15(13), 1072; https://doi.org/10.3390/biology15131072 - 4 Jul 2026
Abstract
Urban plant communities are widely regarded as important nature-based solutions for climate mitigation, yet their actual carbon benefits remain uncertain: vegetation growth is accompanied by carbon emissions from construction and long-term maintenance, and existing assessments rarely integrate community succession, interspecific competition, and maintenance-related [...] Read more.
Urban plant communities are widely regarded as important nature-based solutions for climate mitigation, yet their actual carbon benefits remain uncertain: vegetation growth is accompanied by carbon emissions from construction and long-term maintenance, and existing assessments rarely integrate community succession, interspecific competition, and maintenance-related emissions within a consistent life-cycle framework. To address these limitations, this study developed a dynamic succession-based life-cycle simulation model to project the 50-year carbon source–sink transitions of 150 typical urban plant communities in Tianjin, China. The model updates plant structural attributes—diameter at breast height, crown width, and tree height—iteratively by linking individual plant growth to environmental suitability and neighborhood competition through a Plant Health Index. Simulated structural trajectories were coupled with biomass equations and carbon content coefficients to estimate aboveground carbon sequestration, while construction and maintenance emissions were quantified using life cycle assessment, enabling evaluation of modeled net carbon balance rather than gross carbon sequestration alone. Under the modeled 50-year scenario, most communities were projected to act as carbon sources during the early stage but gradually shifted toward carbon sinks as biomass accumulated; 86.1% of the communities were projected to become net carbon sinks after 50 years (a scenario-based projection under specified growth, maintenance, and emission assumptions). The highest modeled net carbon balance reached 3186.08 kg C ha−1, whereas the weakest community remained a slight carbon source at −81.21 kg C ha−1. Vertical structural complexity and species richness were the strongest positive predictors of modeled net carbon balance, followed by three-dimensional green quantity and canopy closure. Among maintenance processes, fertilization was the dominant emission source, followed by pesticide application and irrigation; comparative scenario analysis showed that resource-saving maintenance consistently improved projected net carbon balance relative to high-maintenance management. These results suggest that low-carbon planting design should prioritize locally adapted species, multi-layered vertical structures, and adaptive maintenance over simply maximizing planting density or minimizing inputs. The results represent scenario-based projections of aboveground vegetation carbon balance; belowground biomass, soil carbon, litter carbon, dead organic matter, and parameter uncertainty were not fully incorporated, and future studies should address these limitations to improve the robustness and transferability of the proposed framework. Full article
(This article belongs to the Section Ecology)
26 pages, 350 KB  
Article
A Multi-Criteria Policy Coherence Index for Water–Energy–Food Nexus Governance and Energy Transition Pathways in Sub-Saharan Africa
by Abdoulaye Ballo, Anderson Kehbila, Moses Kirimi, Madi Kabore, Cynthia Sitati, Hyacinth Elayo, Fabio Maria Montagnino, Tsitsi Bangira and Brenda Insonne
Energies 2026, 19(13), 3178; https://doi.org/10.3390/en19133178 - 3 Jul 2026
Viewed by 196
Abstract
Ensuring sustainable management of water, energy, and food (WEF) resources requires governance frameworks capable of addressing cross-sectoral interdependencies and policy fragmentation. This study evaluates the performance and coherence of national water, energy, and agricultural policies in Mali, South Africa, Malawi, and Tanzania, with [...] Read more.
Ensuring sustainable management of water, energy, and food (WEF) resources requires governance frameworks capable of addressing cross-sectoral interdependencies and policy fragmentation. This study evaluates the performance and coherence of national water, energy, and agricultural policies in Mali, South Africa, Malawi, and Tanzania, with a focus on their contribution to WEF nexus integration and energy transition pathways. A mixed-methods approach is applied, combining qualitative policy analysis, stakeholder consultations (n = 52), and a composite policy coherence index to assess cross-sectoral policy alignment across three river basins: the Bani River Basin (Mali), the Songwe River Basin (Malawi–Tanzania), and the Inkomati–Usuthu Water Management Area (South Africa). The results indicate that key water policy dimensions such as conservation, pollution control, and stakeholder participation demonstrate high performance (mean = 1.0) and strong coherence (SD = 0.0–0.1) across all countries. However, these values primarily reflect the presence of policy instruments rather than their effective implementation. Stakeholder evidence highlights persistent gaps in enforcement, coordination, and institutional capacity. In the energy sector, core infrastructure and participation policies exhibit high performance (mean = 1.0; SD = 0.0), while critical market instruments—including feed-in tariffs (FITs) and power purchase agreements (PPAs)—show moderate performance (mean = 0.6–0.8) and high variability (SD = 0.4–0.5), indicating regulatory inconsistency. In the agricultural sector, economic incentives achieve high performance (mean = 1.0; SD = 0.0), whereas sustainable practices such as agroecology, crop rotation, and organic fertilization remain weakly integrated (mean = 0.1–0.4; SD up to 0.5). Overall, the findings reveal that WEF nexus governance is characterized by strong structural policy alignment (mean = 0.8–1.0) but limited functional integration, reflecting a gap between policy design coherence and implementation effectiveness. Strengthening regulatory frameworks, improving cross-sectoral coordination, and enhancing investment mechanisms are critical for advancing resource efficiency and accelerating energy transition. The study provides a reproducible framework for assessing policy coherence and offers policy-relevant insights for integrated resource governance in Sub-Saharan Africa. Full article
31 pages, 2932 KB  
Review
Advancing the Circular Economy in the Indian Automotive Sector Through Materiality Assessment of Industry Practices and Policy Interventions
by Swapnil Gund, Sandeep G. Thorat, Sachin Pawar, Prashant Paraye and Anuj Prajapati
Recycling 2026, 11(7), 118; https://doi.org/10.3390/recycling11070118 - 3 Jul 2026
Viewed by 234
Abstract
The transition to a circular economy (CE) in the automotive sector is increasingly critical amid rising resource pressures and climate imperatives. In India, this shift is influenced by regulatory initiatives, corporate sustainability goals, and life-cycle-wide environmental challenges. However, current studies remain fragmented, often [...] Read more.
The transition to a circular economy (CE) in the automotive sector is increasingly critical amid rising resource pressures and climate imperatives. In India, this shift is influenced by regulatory initiatives, corporate sustainability goals, and life-cycle-wide environmental challenges. However, current studies remain fragmented, often neglecting the linkages between policy drivers, material issues, and firm-level responses. This study aims to evaluate how CE strategies are operationalized across the Indian automotive value chain using a Drivers–Materiality–Response (DMR) analytical framework. A multiple-case qualitative analysis was conducted involving six major automotive firms and associated ecosystem actors, with data sourced from corporate reports, national policies, and third-party assessments from 2018 to 2024. Semi-structured interviews with 11 industry experts were incorporated to strengthen triangulation, validate firm-level circular economy claims, and support the reliability of the DMR-based interpretation. Findings reveal strong alignment with national CE policies among leading firms, particularly Tata Motors and Mahindra, with comprehensive integration of electrification, battery reuse, zero-waste goals, and digital mobility solutions. However, challenges remain in end-of-life vehicle (ELV) formalization and circularity in downstream systems. The DMR model effectively bridges gaps in existing frameworks by offering a life-cycle-based lens that links Environmental, Social and Governance (ESG), Life Cycle Assessment (LCA), and policy–firm dynamics. The study contributes a scalable diagnostic tool for assessing CE maturity in emerging economies. While limited by reliance on secondary data, the triangulated approach enhances reliability and provides actionable insights for policymakers and industry leaders. Full article
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22 pages, 328 KB  
Article
Determinants of Energy Prices in the European Union for the Period 2017–2025—An Econometric Analysis
by Alina Georgeta Ailincă, Gabriela Cornelia Piciu, Carmen Lenuța Trică, Chiva Marilena Papuc and Daniela Vîrjan
Energies 2026, 19(13), 3171; https://doi.org/10.3390/en19133171 - 3 Jul 2026
Viewed by 163
Abstract
Currently, a major challenge for European economies is the volatility of electricity prices, which affects costs borne by households and firms, as well as inflation, economic competitiveness, and energy security. Although the literature has analysed various determinants of electricity prices, there is still [...] Read more.
Currently, a major challenge for European economies is the volatility of electricity prices, which affects costs borne by households and firms, as well as inflation, economic competitiveness, and energy security. Although the literature has analysed various determinants of electricity prices, there is still limited evidence on the comparative short- and long-term effects of fiscal factors, the natural gas market, and the transition to renewable energy within the Member States of the European Union. This paper analyses the relationship between household electricity prices and a set of economic, climate, and fiscal determinants in EU countries over the period 2017–2025, using panel data econometric methods. The methodology includes pooled OLS models, fixed and random effects estimators, unit root tests, cross-sectional dependence (Pesaran CD) tests, cointegration analysis, and a Panel ARDL-PMG framework, complemented by robustness checks using FMOLS and DOLS-type estimators. The results indicate the existence of a stable long-run equilibrium relationship between the analysed variables, as well as significant cross-sectional dependence among countries, reflecting common shocks and interconnected dynamics in EU energy markets. Fixed effects models are used as the baseline specification, while PMG-ARDL and other dynamic estimators are employed for robustness analysis. The results are consistent across different econometric specifications. The conclusions highlight the dominant role of Household Gas Prices as the main determinant of electricity prices, while energy productivity shows a positive association with electricity price levels. Climate variables exhibit weak and unstable effects, and environmental taxes do not show statistically significant impacts within the sample period. Overall, the findings underline the importance of energy market dynamics, structural factors, and the ongoing energy transition in shaping electricity price developments in the European Union. Full article
(This article belongs to the Special Issue Optimization in Energy Systems)
40 pages, 17181 KB  
Article
Metadata Analysis of Hydroclimate Dynamics over the Last Two Thousand Years in Sardinia and in the Italian Peninsula-Sicily: Insights into Solar-Induced, NAO-Mediated Contrasting Regional Variabilities
by Roberto Graziano, Sebastiano Perriello Zampelli and Silvia Fabbrocino
Heritage 2026, 9(7), 258; https://doi.org/10.3390/heritage9070258 - 3 Jul 2026
Viewed by 60
Abstract
This study presents a meta-analysis of relatively high-resolution paleohydrological proxies derived from geological archives in Sardinia and in the Italian Peninsula–Sicily over the last 2000 years, with particular emphasis on the Medieval Warm Period (MWP) and the Little Ice Age (LIA). The investigated [...] Read more.
This study presents a meta-analysis of relatively high-resolution paleohydrological proxies derived from geological archives in Sardinia and in the Italian Peninsula–Sicily over the last 2000 years, with particular emphasis on the Medieval Warm Period (MWP) and the Little Ice Age (LIA). The investigated climate proxies, ranging from annual-decadal to centennial resolution, include terrestrial and marine sediment cores, glaciers, pollen spectra, speleothems, lake-level fluctuations, as well as sedimentary and geomorphological inventories. Such datasets were analyzed through holistic and stratigraphic approaches along West–East and North–South transects across the central Mediterranean. Limited temporal resolution and incomplete stratigraphic continuity of several paleoclimatic records from the investigated regions thwart full reconstructions of paleohydrological trends. Nevertheless, the presented meta-analysis has enabled: (1) the recognition of reliable paleoclimatic correlations between the two regions, which exhibit long-lasting anti-phase hydroclimatic trends (wetter conditions in Sardinia and drier conditions in central Italy during the MWP, with the opposite pattern during the LIA); and (2) the identification of the North Atlantic Oscillation (NAO) as the primary driver of these paleohydrological variations. The significance of this anti-phase pattern is discussed in the context of the North–South and West–East climatic dipoles identified in the Mediterranean region during the middle to late Holocene. Furthermore, we assessed the potential of the investigated paleohydrological network to: (1) compare reconstructed hydrological patterns with mean temperature and precipitation records derived from empirical and model-based climate reconstructions in southern Europe and the Mediterranean; and (2) identify gaps in data coverage that currently limit our understanding of high-resolution spatiotemporal hydrological variability and dynamics.The hydroclimatic pattern in Sardinia and in the Italian Peninsula–Sicily has exhibited marked spatio-temporal divergences, with major hydroclimatic transitions coincident with well-known solar minima over the last millennium, thus suggesting a possible cause-and-effect relationship. The interpretations presented in this study provide a framework for understanding how changes in the paleoclimatic variability of water resources may have influenced different regions of Italy since the Middle Ages, potentially affecting societal transitions as well as historical and socioeconomic dynamics. Comparison of the multidecadal-to-centennial reconstructions of paleohydrological patterns is presented for both areas, pending the development of new, higher-resolution, and more precisely dated proxies from the Italian records. Their importance is emphasized in order to improve reconstructions of past climate variability and to enhance assessments of future climate trajectories. Full article
27 pages, 1595 KB  
Article
Agroecology as a Driver of Transformation in Local Agri-Food Systems: Evidence from Agroecological Initiatives in the AgrEcoMed Project
by Michela Ascani, Barbara Zanetti, Lucia Briamonte, Diego De Luca, Domenica Ricciardi, Giuseppina Selvaggi and Maria Assunta D’Oronzio
Sustainability 2026, 18(13), 6781; https://doi.org/10.3390/su18136781 - 3 Jul 2026
Viewed by 179
Abstract
Agri-food systems are increasingly exposed to environmental, economic, and social challenges, including climate change, biodiversity loss, resource depletion, and growing territorial inequalities. In this context, agroecology is increasingly recognised as a transformative paradigm integrating ecological, economic, social, cultural, and political dimensions within broader [...] Read more.
Agri-food systems are increasingly exposed to environmental, economic, and social challenges, including climate change, biodiversity loss, resource depletion, and growing territorial inequalities. In this context, agroecology is increasingly recognised as a transformative paradigm integrating ecological, economic, social, cultural, and political dimensions within broader processes of food-system transition. Within the PRIMA AgrEcoMed project, 24 Italian agroecological initiatives led by women and young farmers were analysed to explore their contribution to agroecological transition processes in Mediterranean rural areas. The study adopts a qualitative multiple-case study approach and evaluates the selected initiatives through the framework of the 13 Principles of Agroecology proposed by the High-Level Panel of Experts on Food Security and Nutrition, organised into three operational axes: improving resource efficiency, strengthening resilience, and ensuring social responsibility and fairness. The results show that the analysed initiatives combine ecological farming practices with processes of multifunctionality, territorial networking, knowledge co-creation, short supply chains, and community engagement. The findings suggest that several initiatives move beyond input-reduction strategies associated with “weak agroecology” and display characteristics consistent with stronger agroecological pathways based on territorial embeddedness, collective learning, and the reorganisation of relationships between production, consumption, and local communities. The paper highlights the relevance of agroecology not only as an environmentally sustainable farming approach, but also as a broader socio-ecological and territorial transition process, as well as the importance of policy frameworks to support territorial agroecological systems. Full article
(This article belongs to the Section Sustainable Food)
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31 pages, 2428 KB  
Article
A Scenario-Based Continuous-Time Markov Framework for Preliminary Safety Screening of eVTOL Operations Under Climate, Battery, Power-Supply and Diagnostic Uncertainty
by Kayrat Koshekov, Olga Pukema, Nataliia Levchenko, Dmitriy Kim, Yerkanat Kuanov, Doszhan Mambetalin and Abay Koshekov
Electronics 2026, 15(13), 2924; https://doi.org/10.3390/electronics15132924 - 3 Jul 2026
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Abstract
This study examines the development of urban air mobility, which requires the creation of vertiports capable of ensuring the safe operation of electric vertical takeoff and landing (eVTOL) systems. Key operational constraints include unstable power supply, external climatic conditions, and reliance on battery [...] Read more.
This study examines the development of urban air mobility, which requires the creation of vertiports capable of ensuring the safe operation of electric vertical takeoff and landing (eVTOL) systems. Key operational constraints include unstable power supply, external climatic conditions, and reliance on battery systems. This study aims to develop a risk-based model for vertiport planning those accounts for the stochastic nature of eVTOL operational safety. A continuous-time Markov model incorporating nominal operational characteristics, system constraints, and transitions into emergency and catastrophic flight modes is proposed. State transitions within the model are primarily driven by climatic indicators, power supply reliability, battery parameters, maintenance quality, and diagnostic coverage. To interpret the low probabilities of transitioning to a catastrophic mode, this study introduces a safety index (integrated safety index), which facilitates the comparison of various operational scenarios and regulatory maturity levels. The practical importance of the research lies in applying the proposed model to precisely select vertiport locations; assess energy infrastructure requirements; and organize onboard monitoring, robotic preflight inspection systems, and decision support systems. The results demonstrate that eVTOL operational safety is assessed not only through spatial and infrastructure metrics but also through an integrated indicator encompassing power supply, climate, battery degradation, diagnostics, and hardware–software reliability of the entire vertiport system. Full article
(This article belongs to the Section Electrical and Autonomous Vehicles)
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42 pages, 16315 KB  
Review
Defining the Interplay Between Energy Transition Challenges and Biomass Contributions: A Resource, Technology, and Environment Perspective
by Electo Eduardo Silva Lora, Manuel Garcia-Perez, Edgar Castillo Monroy, Marcelo Risso Errera, Osvaldo José Venturini, Olasunkanmi Opeoluwa Adeoye, Luiz Augusto Horta Nogueira, Rubenildo Viera Andrade, Diego Mauricio Yepes Maya, Diego Carneiro de Oliveira, Angela Tiffany Castillo Hijar, Ernesto Carlos Casals Cunill, Carlos Alberto Masip Rodríguez, João Vitor Gonçalves Zuchetto, Yusuf Makarfi Isa, Yuming Zhang, Aleksander Kozlov, Abdullah Zahid Turan and Elena Gubiy
Energies 2026, 19(13), 3162; https://doi.org/10.3390/en19133162 - 3 Jul 2026
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Abstract
This integrative critical review examines how biomass and bioenergy can contribute to energy diversification while accounting for constraints related to climate mitigation, energy security, resource availability, and technology readiness. The review combines a targeted literature synthesis with expert-informed insights from the international seminar [...] Read more.
This integrative critical review examines how biomass and bioenergy can contribute to energy diversification while accounting for constraints related to climate mitigation, energy security, resource availability, and technology readiness. The review combines a targeted literature synthesis with expert-informed insights from the international seminar Energy Transition and Biofuels held at the Federal University of Itajubá in October 2025. The seminar and COP30-related discussions were used as contextual and conceptual inputs, while peer-reviewed literature, policy documents, and technical reports provided the evidentiary basis for the analysis. The manuscript evaluates biomass and biofuels utilization, refinery integration, sustainable aviation fuels, biochar, BECCS, hydrogen synergies, life-cycle assessment, artificial intelligence, and logistics. The synthesis indicates that biomass is not a universal substitute for fossil fuels. Still, it has distinctive value in applications requiring renewable carbon, dispatchable energy, process heat, liquid fuels, carbon removal, and compatibility with existing infrastructure. The analysis also shows that these contributions are contingent on feedstock governance, land and water safeguards, logistics, fertilizer inputs, technology maturity, and verified life-cycle performance. The food–fuel discussion is therefore reframed as a context-specific problem of land-use, access, productivity, and governance rather than a simple competition between energy and food production. The study concludes that bioenergy can most credibly support the energy transition when deployed through differentiated pathways tailored to regional resources, sustainability constraints, and sector-specific decarbonization requirements. Full article
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