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30 pages, 2571 KB  
Review
Microclimatic Simulation Tools to Evaluate Urban Heat Mitigation: Vegetation and Urban Surface Strategies for Sustainable Environments
by Maria F. Arriaga-Osuna, Karen E. Martínez-Torres, Marcos E. Gonzalez-Trevizo, Carlos J. Esparza-Lopez and Brenda Y. González-López
Climate 2026, 14(6), 132; https://doi.org/10.3390/cli14060132 (registering DOI) - 22 Jun 2026
Abstract
The rapid expansion of urbanization in recent decades has intensified the urban heat island effect, driven by reduced vegetation cover, widespread use of heat-absorbing materials, and increases in surface and atmospheric temperature that may reach 5–6 °C. These conditions negatively impact well-being, quality [...] Read more.
The rapid expansion of urbanization in recent decades has intensified the urban heat island effect, driven by reduced vegetation cover, widespread use of heat-absorbing materials, and increases in surface and atmospheric temperature that may reach 5–6 °C. These conditions negatively impact well-being, quality of life, and human health. In response, numerous studies have examined mitigation strategies based on high-albedo materials and urban vegetation. This systematic review analyzes 225 peer-reviewed articles published between 2016 and 2025 addressing urban heat mitigation, surface thermal conditions, urban vegetation, outdoor thermal comfort and microclimate simulations. It provides a comprehensive synthesis, highlighting key findings and implications for future research. According to the Köppen–Geiger classification, most studies were conducted in humid subtropical and warm Mediterranean climates. The analysis focuses on urban canyon interventions, where vegetation is primarily modeled as shading trees (79.2%), along with other forms such as grass or shrubs (27.1%), mainly during the summer season. Results indicate that integrated mitigation strategies combining vegetation and high-albedo surfaces (≈0.8) generally provide greater cooling benefits than isolated interventions. Overall, the findings underscore the importance of the interaction between vegetation shading and surface properties for mitigating urban heat in outdoor spaces. Full article
(This article belongs to the Special Issue Assessment and Implementation of Urban Heat Mitigation Strategies)
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24 pages, 1672 KB  
Article
A Restricted Two-Stage Multi-Locus Multi-Allele Genome-Wide Association Study Reveals Genomic Loci and Candidate Genes Controlling Plant-Height-Related Traits in Soybean Under Normal and Shade Conditions
by Xiaoling Wu, Zhulian Chen, Rui Peng, Xinchun Liu, Jiajia Yang, Jingyi Ma, Chengxi Zhou, Dezhi Cai, Yanlin Liao, Xiaoli Chang, Jiang Liu, Weiguo Liu, Taiwen Yong, Feng Yang and Wenyu Yang
Int. J. Mol. Sci. 2026, 27(12), 5598; https://doi.org/10.3390/ijms27125598 (registering DOI) - 20 Jun 2026
Viewed by 76
Abstract
Soybean is an important global crop used for oil, food, and feed production. To increase yield and land-use efficiency, growers often plant soybean at a high density or use intercropping systems. Under these systems, soybeans frequently experience shade stress, which directly affects agronomic [...] Read more.
Soybean is an important global crop used for oil, food, and feed production. To increase yield and land-use efficiency, growers often plant soybean at a high density or use intercropping systems. Under these systems, soybeans frequently experience shade stress, which directly affects agronomic traits such as plant height. Although researchers have well documented the genetic basis of plant height under normal conditions, the loci responsible for height variation under shade stress remain largely unexplored. Therefore, we performed a restricted two-stage multi-locus multi-allele genome-wide association study (RTM-GWAS) using SNP linkage disequilibrium block (SNPLDB) markers to identify QTLs associated with soybean plant height under shade stress. We evaluated a natural population of 181 soybean accessions for plant height traits under both normal and shaded conditions across four environments for three years. Using the Soybean40K chip, we derived 11,463 SNPLDB markers and identified 42, 33, and 28 significant SNPLDBs associated with plant height, average internode length, and number of main-stem nodes, respectively. For each SNPLDB, we estimated haplotype (allele) effects and assembled QTL–allele matrices to summarize the population’s genetic composition. Four SNPLDB loci proved stable across multiple environments, exhibiting high −lg(p) values and explaining substantial phenotypic variation. Finally, we projected that 80 candidate genes resided within 180 kb of these stable loci, and we identified four strong candidate genes linked to plant height traits based on combined positional and functional evidence. These results clarify genetic factors that influence soybean height under shading and could aid development of high-yielding soybean varieties. Full article
(This article belongs to the Section Molecular Plant Sciences)
35 pages, 9432 KB  
Article
Optimizing Age-Friendly Public Facilities in Urban Open Spaces: A Multi-Criteria Design Framework for Healthy and Inclusive Built Environments
by Yuanhao Ding, Tiantian Sun, Hongchen Li, Yousheng Yao, Xiaoqin Cao and Yanhuan Zheng
Buildings 2026, 16(12), 2449; https://doi.org/10.3390/buildings16122449 (registering DOI) - 20 Jun 2026
Viewed by 72
Abstract
Population aging has increased the need for public open spaces that older adults can use safely, comfortably, and confidently. In many urban parks and community squares, however, resting facilities are still designed as standardized street furniture, with cold materials, insufficient hand support, limited [...] Read more.
Population aging has increased the need for public open spaces that older adults can use safely, comfortably, and confidently. In many urban parks and community squares, however, resting facilities are still designed as standardized street furniture, with cold materials, insufficient hand support, limited wheelchair-inclusive space, and weak support for everyday social interaction. This study examines age-friendly public facilities as micro-scale spatial elements that shape sitting, standing, staying, communication, and willingness to remain in small urban open spaces. Drawing on field observation, behavioral analysis, semi-structured interviews, and a multi-criteria design-evaluation process, the study identifies older adults’ key facility-use needs and translates them into design indicators and alternative facility schemes. The results show that physical support and inclusive spatial use are the most important design priorities. Standing-up assistance, sitting-posture support, perceived structural stability, and age-appropriate dimensional adaptation were more influential than purely decorative or auxiliary functions. Among the three alternative schemes, the modular pergola system performed best because it combined stable hand support, independent seating, an age-friendly interactive table, shaded resting space, wheelchair-inclusive layout, and wood-based sensory comfort. The sensitivity analysis further confirmed that this scheme maintained a stable advantage under most weight-adjustment conditions. The findings suggest that age-friendly public facility design should move beyond the improvement of individual furniture products and instead integrate bodily support, spatial accessibility, social interaction, material comfort, and environmental pattern quality. This study provides a design-decision framework for improving the inclusiveness, accessibility, and health-supportive capacity of urban public open spaces for older adults. Full article
27 pages, 1765 KB  
Review
MPPT Control Strategies for Grid-Connected Photovoltaic Systems: A Comparative Review Based on Key Parameters
by Kifayat Ullah, Ahmed Bilal Awan, Muhammad Ishaq and Arsalan Muhammad Soomar
Energies 2026, 19(12), 2866; https://doi.org/10.3390/en19122866 - 17 Jun 2026
Viewed by 272
Abstract
Maximum power point tracking (MPPT) is essential for improving the energy harvesting performance of grid-connected photovoltaic systems under varying operating conditions. However, the growing diversity of MPPT algorithms has made the selection of suitable control strategies increasingly challenging for researchers. This review presents [...] Read more.
Maximum power point tracking (MPPT) is essential for improving the energy harvesting performance of grid-connected photovoltaic systems under varying operating conditions. However, the growing diversity of MPPT algorithms has made the selection of suitable control strategies increasingly challenging for researchers. This review presents a comprehensive analysis of MPPT techniques for grid-connected photovoltaic systems, with particular emphasis on dynamic environmental variations, partial shading conditions, and grid-interfacing requirements. The study systematically classifies and evaluates conventional methods, intelligent control approaches, and bio-inspired optimization techniques. In contrast to earlier review articles that mainly emphasize traditional methods such as Perturb and Observe and Incremental Conductance, this work focuses on two distinctive aspects: the comparative literature compilation of modern artificial intelligence and metaheuristic-based MPPT algorithms; and the inclusion of power quality considerations in MPPT performance evaluation. Quantitative assessment metrics derived from various experimental conditions are aggregated to provide a broader comparison of control strategies. In addition, the impact of MPPT methods on power quality parameters, particularly total harmonic distortion and power factor, is examined. The review further summarizes recent advances in metaheuristic optimization for challenging operating scenarios and identifies key research gaps. Finally, practical guidelines are provided for selecting and developing MPPT strategies for residential, commercial, and utility-scale photovoltaic applications, with particular attention to sensorless and grid-aware control solutions for future power networks. Full article
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25 pages, 10260 KB  
Article
Quantitative Analysis of Urban Canyon Morphology Impacts on Summer Outdoor Thermal Comfort: A Case Study of Chongqing, China
by Tiantian Xu, Wenlong Zhao, Yuening Zhu, Xiaoxin Chen and Chenqiu Du
Buildings 2026, 16(12), 2399; https://doi.org/10.3390/buildings16122399 - 16 Jun 2026
Viewed by 200
Abstract
In the context of global climate change and rapid urbanization, urban outdoor thermal environment issues in summer have become increasingly severe. Shading has been widely recognized as an effective strategy for improving outdoor thermal comfort, yet existing evaluation methods still suffer from limitations [...] Read more.
In the context of global climate change and rapid urbanization, urban outdoor thermal environment issues in summer have become increasingly severe. Shading has been widely recognized as an effective strategy for improving outdoor thermal comfort, yet existing evaluation methods still suffer from limitations in adaptability and accuracy. Taking Chongqing, a typical hot-humid city in China, as a case study, this paper proposes an evaluation method that accounts for human thermal adaptation, introducing three complementary indicators, namely Universal Thermal Climate Index Load (UTCIL), cumulative UTCIL (cUTCIL), and Heat Stress Duration (HSD). Focusing on four shading-related urban canyon morphological factors—orientation, aspect ratio (H/W), building asymmetry, and leaf area index (LAI) of street trees—a series of simulation scenarios was designed to quantitatively explore their impacts on summer outdoor thermal comfort. The applicability and reliability of the ENVI-met model for block-scale outdoor thermal environment simulation were validated by comparing field-measured microclimate data with simulation results. The findings demonstrate that all four morphological factors substantially influence the outdoor thermal environment. Canyon orientation considerably affects thermal comfort, with a 30° clockwise deviation from the north–south yielding optimal conditions, whereas the east–west (90°) orientation produces the poorest thermal environment, with a maximum UTCI of approximately 48.9 °C. For aspect ratio, thermal comfort improves continuously as H/W increases, with the benefit stabilizing beyond H/W = 3.5. Building asymmetry also plays a notable role: raising building height on one side can effectively reduce outdoor thermal stress, and canyons with taller west-side buildings show better thermal performance under the same asymmetry ratio. Furthermore, street tree shading and aspect ratio exhibit a synergistic cooling effect, where high LAI (e.g., 4.77) reduces UTCImax by approximately 1.8 °C at H/W = 1, but this benefit diminishes as H/W increases. The optimal outdoor thermal environment is achieved through the combination of a high aspect ratio and high LAI. These findings provide a quantitative basis and design references for optimizing outdoor thermal comfort in Chongqing. In addition, the quantitative evaluation proposed method can offer a methodological reference for other hot-humid regions. Full article
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20 pages, 3841 KB  
Article
Material-Dependent Toxic Mechanisms of Different Types of Particulate Emerging Contaminants Toward Chlorella vulgaris
by Xiaona Li, Xiangjun Hou, Yu Kong, Ning Liu and Zhenyu Wang
Toxics 2026, 14(6), 519; https://doi.org/10.3390/toxics14060519 - 15 Jun 2026
Viewed by 374
Abstract
Particulate emerging contaminants (PECs) pose increasing ecological risks due to their widespread occurrence and complex environmental behaviors, yet their heterogeneous toxic mechanisms remain poorly understood, especially under environmentally relevant conditions and concentration gradients. Here, Chlorella vulgaris was used as a model organism to [...] Read more.
Particulate emerging contaminants (PECs) pose increasing ecological risks due to their widespread occurrence and complex environmental behaviors, yet their heterogeneous toxic mechanisms remain poorly understood, especially under environmentally relevant conditions and concentration gradients. Here, Chlorella vulgaris was used as a model organism to systematically compare the effects of polystyrene nanoparticles (PSNPs), silver nanoparticles (AgNPs), and titanium dioxide nanoparticles (TiO2NPs) across environmentally relevant and elevated concentrations (100 μg/L and 10 mg/L). Distinct toxicity pathways were identified among PEC types. PSNPs primarily induced chronic interference via particle–cell interactions, heteroaggregation, sedimentation-driven shading, and extracellular polymeric substance (EPS) regulation, rather than ROS-dominated toxicity. In contrast, AgNPs exhibited transformation-driven toxicity, undergoing intracellular speciation into Ag2S, AgCl, and Ag+, which triggered oxidative stress, membrane damage, and lipid peroxidation. TiO2NPs showed relatively high bioavailability and persistent oxidative stress effects. These results demonstrate that PEC toxicity evolves with particle type and concentration. Importantly, oxidative stress alone is insufficient to capture PEC ecotoxicity, which also involves the long-term impacts on algal behavior, sedimentation dynamics, and energy metabolism. This study provides mechanistic insights into PEC-induced algal toxicity and supports the source-oriented management of particulate pollutants in aquatic environments, particularly in hotspot scenarios such as wastewater discharge and sediment resuspension. Full article
(This article belongs to the Special Issue Fate and Transport of Emerging Contaminants in Soil)
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18 pages, 4261 KB  
Article
Cropping Pattern Optimization in Walnut–Potato Agroforestry: Physiological Mechanisms, Yield Formation, and Resource-Use Efficiency
by Jiangtao Li, Yinghong Jiang, Xijuan Zhao, Binde Xing, Hongfei Shen, Yan Wu, Gulimila Rehemutula, Hui Sun, Ruwei Yang and Yi Liu
Agronomy 2026, 16(12), 1165; https://doi.org/10.3390/agronomy16121165 - 15 Jun 2026
Viewed by 269
Abstract
Intercropping systems are beneficial for resource utilization; however, the spatial proximity of companion species leads to competition for shared resources, particularly light. A walnut–potato intercropping model was established to understand the photosynthetic and physiological mechanisms underlying yield and marketability responses. Three intercropping treatments [...] Read more.
Intercropping systems are beneficial for resource utilization; however, the spatial proximity of companion species leads to competition for shared resources, particularly light. A walnut–potato intercropping model was established to understand the photosynthetic and physiological mechanisms underlying yield and marketability responses. Three intercropping treatments were established based on the number of potato ridges between walnut tree rows: B1 (three ridges), B2 (five ridges), and B3 (seven ridges). All intercropping and monoculture (CK) plots used an identical double-row planting pattern per ridge. Results showed that ridge density induced significant physiological changes and yield impacts. Compared to CK, B3 significantly reduced soluble protein content, net photosynthesis (Pn), and antioxidant enzyme activities (SOD, CAT), while B1 and B2 showed intermediate, non-significant reductions. Peroxidase (POD) activity increased progressively with ridge number (B3 > B2 > B1 > CK), indicating dose-dependent shade stress. Intercellular CO2 concentration (Ci) was significantly elevated under all intercropping treatments, suggesting a predominantly non-stomatal, biochemical limitation on photosynthesis rather than water stress. Yield was highest in CK, followed by B1 and B2—which were statistically comparable to CK—while B3 yielded the least due to severe shading. Marketability declined sharply in B3, with fewer than half of tubers reaching commercial grade. Multivariate analysis showed distinct clustering of yield-associated variables (Pn, protein, marketability) separate from shade-stress indicators (POD, Ci) across treatments. These findings provide practical and scientific evidence to optimize walnut–potato intercropping configurations under the arid conditions. Full article
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37 pages, 14935 KB  
Article
Experimental Assessment and Modeling of Solar Irradiance for an Agrivoltaic Greenhouse for Watermelon Production in Southern Spain
by Anna Kujawa, Natalie Hanrieder, Sergio González Rodríguez, Lyubomir Hristov, Manuel Jesus Blanco, Leontina Berzosa Álvarez, Ana Martínez Gallardo, Adoración Amate González, Marina Casas Fernandez, Francisco Javier Palmero Luque, Manuel López Godoy, María del Carmen Alonso-García, José Antonio Carballo, Luis Fernando Zarzalejo Tirado, Cristina Cornaro and Robert Pitz-Paal
AgriEngineering 2026, 8(6), 245; https://doi.org/10.3390/agriengineering8060245 - 14 Jun 2026
Viewed by 191
Abstract
Watermelons account for 7% of the world’s fruit vegetable production. In the European market, Spain contributes around 35% of total watermelon supply, with the majority grown in greenhouses in Almería, Southern Spain. This study presents experimental results from the first agrivoltaic watermelon trial [...] Read more.
Watermelons account for 7% of the world’s fruit vegetable production. In the European market, Spain contributes around 35% of total watermelon supply, with the majority grown in greenhouses in Almería, Southern Spain. This study presents experimental results from the first agrivoltaic watermelon trial conducted in a raspa-y-amagado greenhouse during the 2024 growing season in Almería, Spain. Watermelons were cultivated under two shading treatments with 30% and 50% of the roof area covered with PV modules and compared against an unshaded control group. Throughout the experiment, temperature values in the 30% and 50% zones were 2.2 °C and 4.3 °C lower than in the control zone, respectively. The unshaded control zone and the 30% shading treatment maintained DLI conditions within the optimal range between 21 mol m−2 d−1 and 32 mol m−2 d−1 for most of the crop cycle, while the 50% shading zone remained largely above the minimum threshold of 15 mol m−2 d−1 required for adequate crop growth. No statistically significant differences were observed in fruit weight, rind width, fruit firmness, or soluble solids content at harvest. In addition, the experimentally measured irradiance data from this study were compared with simulations from a previously established irradiance model. The model was applied to the raspa-y-amagado greenhouse, and the experimental data were used to perform a long-term comparison between simulated and measured irradiance for 265 days of data. The irradiance model accurately reproduced shading effects from both the PV modules and greenhouse structure, achieving nRMSE values of 0.09, 0.18, and 0.27 for the control, 30% shading, and 50% shading zones, respectively. Full article
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30 pages, 7931 KB  
Article
Numerical Analysis on Shading-Based Pedestrian Environment Optimization for HOD: A UTCI-Based Comparison at Macau LRT Union Hospital Station
by Zekai Guo, Qingnian Deng, Jingwei Liang, Lina Yan, Wei Liu, Yufei Zhu, Liang Zheng and Yile Chen
Atmosphere 2026, 17(6), 603; https://doi.org/10.3390/atmos17060603 - 12 Jun 2026
Viewed by 286
Abstract
In the context of subtropical cities, the slow-moving environment of HOD (Hospital-Oriented Development) faces the dual challenges of spatial fragmentation and an extreme hot and humid climate, which also restricts the outdoor space’s thermal environment performance. Taking the Macau Light Rapid Transit (LRT) [...] Read more.
In the context of subtropical cities, the slow-moving environment of HOD (Hospital-Oriented Development) faces the dual challenges of spatial fragmentation and an extreme hot and humid climate, which also restricts the outdoor space’s thermal environment performance. Taking the Macau Light Rapid Transit (LRT) Union Hospital Station as an example, this study constructs a “topology-climate” dual quantitative assessment framework that integrates space syntax and parametric universal thermal climate index (UTCI) simulation. In response to the current problems of mixed pedestrian and vehicular traffic and high-intensity heat radiation, a comprehensive intervention strategy combining three-dimensional stitching and spatial optimization is proposed. The results show that: (1) The implantation of three-dimensional corridors improved the spatial integration of the core area of the site by 67.0%, significantly optimizing network connectivity. (2) During the extreme high-temperature period of daytime (9:00–18:00) in summer and autumn, the intervention strategy precisely opened up a continuous low-heat-stress linear shade zone through the synergistic mechanism of building projection shadows, physical shading of connecting corridors, (landscape shading effect, original evaporation removed). (3) The study confirms that landscape-coupled shading layout is the most effective method, reducing potential pedestrian heat exposure across the entire area, while the three-dimensional connecting corridors precisely control the thermal environment of core walkways. Together, these two elements construct a “topology-climate” optimization framework, achieving a synergistic improvement in spatial accessibility and simulated thermal comfort performance under standard meteorological input and quantitatively verifying the optimization effectiveness of the tiered intervention scheme. This study provides a data-driven decision-making basis for optimizing potential walking thermal conditions for vulnerable groups and reshaping the space’s potential to improve microclimate via shading design of medical hub areas and also provides a scientific paradigm for TOD microclimate planning focused on shading-based thermal environment optimization. Full article
(This article belongs to the Special Issue Modelling of Indoor Air Quality and Thermal Comfort)
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21 pages, 5466 KB  
Article
A Component-Level Defect Detection and Real-Time Localisation Method for Photovoltaic Arrays Using UAV-Based Infrared Imagery
by Hui Peng, Yongqiang Cui, Di Bai, Qian Huang and Xiaoli Chen
Sensors 2026, 26(12), 3736; https://doi.org/10.3390/s26123736 - 11 Jun 2026
Viewed by 265
Abstract
Defects in photovoltaic (PV) modules, including hotspots, shading, and diode failures, significantly reduce power-generation efficiency and pose safety risks. This study proposes a real-time detection and localisation framework for PV defects based on infrared images acquired by unmanned aerial vehicles (UAVs). A dedicated [...] Read more.
Defects in photovoltaic (PV) modules, including hotspots, shading, and diode failures, significantly reduce power-generation efficiency and pose safety risks. This study proposes a real-time detection and localisation framework for PV defects based on infrared images acquired by unmanned aerial vehicles (UAVs). A dedicated dataset of 5583 infrared/visible images was constructed under standardised acquisition conditions. An improved rotating-bounding-box detector, termed YOLO-CLO, was developed upon YOLOv8-OBB by introducing a lightweight C3m module and a shared-convolution LSCD-OBB detection head. The proposed detector attains 99.1% mAP@0.5, 96.7% mAP@0.5:0.95, and 59.88 FPS with only 8.52 M parameters and 23.6 GFLOPs, outperforming the baseline in both accuracy and efficiency. A multi-feature image-processing pipeline combining gradient, grayscale, temperature, and morphological cues identifies hotspots, diode failures, and obstructions with detection accuracies of 96.97%, 100%, and 88.89%, respectively. A component-level localisation strategy integrating GNSS metadata, the Hough transform, and an improved K-means clustering algorithm accurately recovers the row–column index of each defective module within an array. Comparative experiments against YOLOv5 and Faster R-CNN confirm the superiority of the proposed framework. The method offers low hardware dependency and is suitable for engineering deployment in large-scale PV power stations. Full article
(This article belongs to the Section Fault Diagnosis & Sensors)
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25 pages, 20240 KB  
Article
Evaluation of Downtown Urban Spaces Under Cold Climate Conditions Using Thermal Indices for Climate-Responsive Design: A Case Study of Sapporo, Japan
by Qi Kan, Tsuyoshi Setoguchi and Norihiro Watanabe
Sustainability 2026, 18(12), 6005; https://doi.org/10.3390/su18126005 - 11 Jun 2026
Viewed by 119
Abstract
Urban thermal comfort in winter is an important but insufficiently quantified component of sustainable, climate-adapted urban design in cold-weather cities facing energy-intensive winter environmental challenges. This study uses high-resolution simulations to evaluate discomfort across a downtown district in Sapporo, Japan, based on the [...] Read more.
Urban thermal comfort in winter is an important but insufficiently quantified component of sustainable, climate-adapted urban design in cold-weather cities facing energy-intensive winter environmental challenges. This study uses high-resolution simulations to evaluate discomfort across a downtown district in Sapporo, Japan, based on the standard effective temperature (SET*) index and universal thermal climate index (UTCI). A total of 2438 sampling points were assessed under 69 hourly winter scenarios. Discomfort hotspots were found in east–west streets and wind-exposed corners, driven by limited solar access or intensified wind. SET* is a more sensitive indicator under cold conditions, particularly in shaded areas. Wind speed and mean radiant temperature distributions revealed the environmental drivers of discomfort. The influence of building height was confirmed via quantitative correlation analysis, which revealed significant negative relationships between adjacent building heights and SET* across all streets analyzed, especially in east–west street canyons, where correlation coefficients ranged from −0.80 to −0.52 in the representative street. These findings contribute to urban sustainability by providing a quantitative tool for identifying winter thermal vulnerability and supporting passive, climate-adapted public-space design. The proposed framework can help improve winter walkability, outdoor activity, and the environmental quality of downtown spaces in cold-region cities. Full article
(This article belongs to the Section Sustainable Urban and Rural Development)
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25 pages, 33137 KB  
Article
Latitudinal Adaptive Strategies of Tetracentron sinense: Insights from Functional Traits and Phylogenetic Conservatism
by Luwei Yang, Zheng Yang, Zili Wan, Wenjing He, Hongyan Han and Xiaohong Gan
Biology 2026, 15(12), 915; https://doi.org/10.3390/biology15120915 - 11 Jun 2026
Viewed by 227
Abstract
Anthropogenic disturbances and climate warming threaten the rare paleoendemic species Tetracentron sinense. To identify the divers of its latitudinal adaptation, we integrated functional trait differentiation, environmental filtering, and phylogenetic conservatism. We measured 35 functional traits (leaf morphology, nutrient stoichiometry, stomatal traits, whole-plant [...] Read more.
Anthropogenic disturbances and climate warming threaten the rare paleoendemic species Tetracentron sinense. To identify the divers of its latitudinal adaptation, we integrated functional trait differentiation, environmental filtering, and phylogenetic conservatism. We measured 35 functional traits (leaf morphology, nutrient stoichiometry, stomatal traits, whole-plant architecture) across four natural populations spanning the species’ latitudinal range: BMXS (Baima Snow Mountain), DFD (Dafengding), FP (Foping), LGS (Leigong Mountain). Using correlation analysis, principal component analysis, and phylogenetic community metrics, we found that T. sinense dominated all communities. Populations exhibited divergent strategies: DFD expanded leaf area for light capture under high rainfall and shaded conditions; FP increased height and crown width to compete for light; LGS enhanced nutrient-use efficiency under phosphorus limitation; BMXS promoted phosphorus uptake under nitrogen limitation (N/P < 14). Trait variation correlated significantly with elevation, solar radiation, and temperature. PCA explained 90.44% of total variance, and standardized effect size (SES) values for phylogenetic signals range from −2.031 to 1.973; Phylogenetic signals were stronger in co-occurring taxa than in T. sinense. T. sinense populations in BMXS and FP are structured by competitive exclusion, while those in LGS and DFD by habitat filtering. We conclude that T. sinense achieves latitudinal adaptation by overcoming phylogenetic niche conservatism through phenotypic plasticity. While leaf economic traits remain evolutionarily conserved and niches in glacial refugium are relatively stable, populations adjust trait syndromes via metabolic shifts and structural trade-offs in response to heterogeneous environmental filters. Identifying these adaptive strategies can guide seed sourcing for restoration efforts under climate change. Full article
(This article belongs to the Section Plant Science)
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23 pages, 7455 KB  
Article
Multidimensional Benefit Analysis of Balcony Photovoltaic Systems from a Dual-Carbon Perspective
by Haimeng Li, Wei Xu, Xinyu Zhang, Bojia Li, Boyuan Wang, Boyu Zhang and Yi Zhang
Buildings 2026, 16(12), 2331; https://doi.org/10.3390/buildings16122331 - 11 Jun 2026
Viewed by 205
Abstract
As urban energy demand increases and available roof space remains limited, balcony photovoltaic (PV) systems have emerged as a promising distributed renewable energy solution. This study aims to evaluate the multidimensional benefits of these systems in urban residential applications from a dual-carbon perspective. [...] Read more.
As urban energy demand increases and available roof space remains limited, balcony photovoltaic (PV) systems have emerged as a promising distributed renewable energy solution. This study aims to evaluate the multidimensional benefits of these systems in urban residential applications from a dual-carbon perspective. A combination of experimental tests and numerical simulations was used to investigate the effects of installation tilt angles and vertical self-shading in high-rise buildings. A comprehensive assessment model was constructed, integrating technical power generation gains, economic returns, and environmental carbon reduction benefits. The results demonstrate that when comprehensively balancing generation gains, economic viability, and structural safety, the practical optimal installation tilt angle for balcony PV systems is around 30°. The Levelized Cost of Electricity (LCOE) is calculated at 0.050–0.061 USD/kWh. Furthermore, a standard 800 W system operating under Beijing’s climate conditions can reduce carbon emissions by approximately 12.68 tons over its 25-year lifecycle. Therefore, balcony PV systems deliver significant technical, economic, and environmental benefits, serving as a highly feasible strategy to promote low-carbon and sustainable development in high-density cities. Full article
(This article belongs to the Special Issue Advanced Study on Urban Environment by Big Data Analytics)
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43 pages, 1287 KB  
Article
Aquavoltaics, Local Knowledge, and Just Energy Transitions: Governance Trade-Offs in Southern Taiwan
by Chung-Ling Chen, Yu-Chen Wu and Eric Li-Hau Chen
Sustainability 2026, 18(12), 5802; https://doi.org/10.3390/su18125802 - 6 Jun 2026
Viewed by 451
Abstract
Aquavoltaics, which integrates solar photovoltaic infrastructure with aquaculture production, has increasingly been promoted as a possible pathway for supporting low-carbon energy transition and multifunctional land use in coastal regions. In Taiwan, aquavoltaics has been framed as a policy approach that may contribute to [...] Read more.
Aquavoltaics, which integrates solar photovoltaic infrastructure with aquaculture production, has increasingly been promoted as a possible pathway for supporting low-carbon energy transition and multifunctional land use in coastal regions. In Taiwan, aquavoltaics has been framed as a policy approach that may contribute to renewable energy development, aquaculture continuity, and rural revitalisation. However, its implementation has also raised governance concerns related to land use, environmental uncertainty, and local participation in coastal aquaculture communities. This study examines the governance trade-offs and institutional development of aquavoltaics policy in southern Taiwan through an analytical framework that combines political ecology and the extended explanatory chain model (EECM). Drawing on policy document analysis, field observations, administrative records, and in-depth interviews with 24 stakeholders, the study traces aquavoltaics governance across five interrelated stages: policy discourse, institutional design, local implementation and community response, policy feedback, and institutional diffusion. The findings indicate that Taiwan’s aquavoltaics governance has been shaped by tensions between centralised energy-policy objectives and diverse local aquaculture conditions. Technical requirements, including the 40% shading threshold and the 70% production maintenance requirement, provide administrative clarity but may not fully reflect species-specific practices, pond-management needs, or existing land-tenure arrangements. In the cases examined, aquavoltaics development was associated with changes in land-use relations, spatial competition, and concerns over environmental uncertainty and governance legitimacy. The study also suggests that local stakeholders were not only recipients of top–down policy implementation but also participated in governance adjustment through review procedures, administrative negotiation, adaptive practices, and the mobilisation of local ecological knowledge. By integrating political ecology with the EECM, this study offers a process-oriented perspective for examining aquavoltaics as a socioecological governance issue rather than only a technical energy arrangement. The findings suggest that future aquavoltaics governance may benefit from more context-sensitive assessment, clearer institutional coordination, and greater attention to local knowledge and long-term monitoring. Full article
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36 pages, 12927 KB  
Review
A Review of Passive-Cooling Techniques for Buildings in Hot–Humid Climate Zones
by Floriberta Binarti and Tetsu Kubota
Buildings 2026, 16(12), 2288; https://doi.org/10.3390/buildings16122288 - 6 Jun 2026
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Abstract
Buildings in hot–humid climates experience increasing thermal stress due to urban heat islands and climate change, leading to greater reliance on air conditioning. Passive cooling is therefore a crucial low-carbon strategy for maintaining thermal comfort. This paper reviews thermal comfort ranges and passive-cooling [...] Read more.
Buildings in hot–humid climates experience increasing thermal stress due to urban heat islands and climate change, leading to greater reliance on air conditioning. Passive cooling is therefore a crucial low-carbon strategy for maintaining thermal comfort. This paper reviews thermal comfort ranges and passive-cooling techniques across Köppen–Geiger hot–humid climate classes. A two-stage approach was adopted: thermal comfort data from 35 field studies were analyzed by climate class and ventilation mode, while more than 70 application studies were qualitatively reviewed to assess mechanisms, performance, and climate suitability. The results indicate that occupants in hot–humid areas exhibit broad thermal tolerance, particularly in naturally ventilated buildings, with neutral temperatures ranging from 19.5 °C in humid subtropical climates to 36.3 °C in tropical savanna climates. Natural ventilation is the most widely applicable passive-cooling strategy, but its effectiveness depends on integration with climate-responsive measures. Ventilation, combined with solar protection and courtyards, is most effective in Af and Am climates, whereas shading, solar chimneys, evaporative cooling, night ventilation, thermal mass, and phase-change materials provide greater benefits in Aw, Cfa, and Cwa climates. However, no single strategy is sufficient across all climates. The review provides climate-specific guidance for designing low-carbon, thermally resilient buildings in hot–humid regions. Full article
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