Search Results (528)

Fenestration systems play a critical role in building thermal performance, particularly in cooling-dominated climates where envelope inefficiencies directly amplify electricity demand. In Saudi Arabia and other Gulf Cooperation Council (GCC) countries, cooling accounts for the majority of building energy consumption. Nevertheless, the facade and insulated glass industries are experiencing rapid market expansion. Despite this technological evolution, prevailing regulatory frameworks, including the Saudi Building Code Energy Conservation Requirements (SBC 601), ASHRAE 90.1, and the International Energy Conservation Code (IECC), primarily rely on area-weighted U-values and solar heat gain coefficients (SHGCs) without explicitly integrating multidimensional thermal bridge effects such as linear thermal transmittance (ψ). This paper examines the omission of ψ from current energy compliance systems, evaluates its implications in cooling-dominated climates, and proposes a phased regulatory integration pathway aligned with sustainability objectives under Vision 2030. Literature reports indicate that thermal bridges may increase cooling loads by up to 25% and total building energy use by 5–30%, depending on climate severity and façade configuration. The findings highlight the need to transition from simplified prescriptive compliance toward a physics-informed governance capable of addressing evolving facade complexity in hot-arid environments. The proposed framework offers a systematic pathway for integrating linear thermal transmittance requirements while supporting regional sustainability goals and advancing high-performance building technologies. Full article

Coriandrum sativum L. is a widely cultivated aromatic herb exhibiting substantial variation in essential oil quality and yield among different accessions. This study assessed germination performance, essential oil composition, yield, chemotype distribution, and fragrance characteristics in 48 C. sativum accessions collected from 19 countries spanning four Köppen–Geiger climate zones: Tropical/Subtropical, Arid/Semi-arid, Temperate, and Continental/Cold. All accessions were grown under standardized field conditions, and essential oils were extracted from aerial parts using steam distillation followed by direct-GC/MS analysis. Seed germination rates were consistently high (mean: 92.25 ± 5.85%; range: 71–100%) and did not differ significantly by climate zone (Kruskal–Wallis H = 5.500, p = 0.139) or country of origin (H = 21.833, p = 0.240), indicating that post-harvest management, rather than climatic provenance, primarily determines seed viability. Essential oil profiles were dominated by (E)-2-decenal (mean: 44.56%), decanal (11.75%), and 2-dodecenal (13.47%). Principal component analysis (PCA) of 18 compounds detected in at least 19 accessions accounted for 70.16% of total variance across five components, with PC1 reflecting a gradient from long-chain saturated aldehyde accumulation to linalool enrichment. Permutational multivariate analysis of variance (PERMANOVA) demonstrated significant compositional differentiation among climate zones (Pseudo-F = 1.662, p = 0.028), whereas country-level grouping was not significant (p = 0.256). Tropical/subtropical accessions exhibited the highest linalool content (mean: 15.39 ± 8.71%) and essential oil yield (mean: 0.269 ± 0.120% v/w), significantly surpassing arid/semi-arid and temperate zones (p < 0.05). Two chemotypes were identified, (E)-2-decenal (91.7%) and linalool (8.3%), each associated with distinct fragrance profiles (earthy/aldehydic/woody versus herbal/sweet, respectively). These findings demonstrate that climate zone of origin is significantly associated with C. sativum essential oil composition and productivity, with tropical/subtropical accessions providing superior yield and linalool content. Chemotype characterization offers an additional criterion for germplasm selection in targeted industrial applications. Full article

Drought and related climate features (aridity, water balance) in Romania since 1961 are well documented, but studies spanning longer periods are limited and typically rely on modelled or sparse observational data. This study presents an analysis of drought, water balance and aridity in Romania over 123 years (1901–2023), using monthly data from 156 weather stations included in the RoCliHom dataset. Drought evolution is analyzed using the Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI). Aridity is examined with the De Martonne Aridity Index. The non-parametric Mann–Kendall test is used for trend detection, which allows a fair comparison with previous studies on drought and aridity in Romania. Trend magnitude is calculated with Sen’s slope estimator. Our results show a clear increase in evapotranspiration as a sign of climate warming over the country since the beginning of the 20th century. Annual precipitation amount presents no major changes. Water balance has decreased in July and August at 40% and 85% of the locations, respectively. During the growing season, drought has intensified within the last seven, six and five decades, but there are no significant changes over the full period of study in this respect. We found strong negative correlations between SPEI and North Atlantic Oscillation, Northern Annular Mode and Arctic Oscillation teleconnection indices. The evolution over the 123-year period shows that the drought episodes that occurred in recent decades are not without precedent in the long-term climatic context. Full article

This systematic review examines the global sustainable urban planning strategies used worldwide and whether they are applicable to the United Arab Emirates. This study reviewed 150 peer-reviewed articles and identified 14 of the most significant sustainable urban planning strategies in use today, including green infrastructure, smart city technologies, compact urban development, transit-oriented development, circular economy principles, mitigation of urban heat island effects, renewable energy integration, sustainable drainage systems, biophilic design, fifteen-minute city concepts, mixed-use development, vertical farming, participatory planning, and urban resilience frameworks. The methodologies applied by the authors to identify the sustainable urban planning strategies employed in the research were thematic analysis and the classification of the strategies into five main categories: environmental sustainability, technological innovation, social equity, economic viability, and cross-cutting. Case studies from Singapore, Copenhagen, Melbourne, and Amsterdam, and examples of current sustainable urban planning initiatives underway in Dubai and Abu Dhabi show how the models can be successfully implemented. The results indicate that multi-strategy approaches produce better results than the application of single strategies. Based on the results of the research, green infrastructure, smart city technologies, and the mitigation of urban heat island effects have been identified as strategies whose characteristics are closely aligned with the UAE’s arid climate conditions, while emphasizing that all fourteen strategies contribute to comprehensive sustainability outcomes and that their relative importance depends on local relevance. The researchers also concluded that for sustainable urban planning to be successful in the UAE, it will require the best practices from around the world be adapted to the unique environmental conditions, cultural contexts, and economic structures of each country. The findings of this study will contribute to the growing body of knowledge related to sustainable urbanism and provide practitioners with useful information and practical guidance when implementing sustainable urban planning practices in the UAE and other arid regions. Full article

Goat production in Peru is primarily carried out under extensive systems shaped by climatic variability, forage seasonality, infrastructure limitations, and persistent sanitary pressure. In this context, Creole goats represent a strategic animal genetic resource due to their capacity to adapt to arid and high-Andean environments. This review integrates the available evidence on production typologies in the main goat-producing regions of the country, the major sanitary and structural bottlenecks, and the state of the art of genomic, multi-omics, and reproductive biotechnology tools applicable to goats. It discusses how the transition from traditional markers to SNP genotyping, together with functional approaches such as microbiome analysis, transcriptomics, and proteomics, can contribute to understanding the biological basis of complex traits related to resilience, feed efficiency, and reproductive performance. Likewise, the potential of precision livestock farming to generate longitudinal phenotypes and strengthen genetic improvement programs in low-input systems is highlighted. Finally, priorities and considerations are outlined to advance the integration of phenotyping, genomics, and reproductive biotechnologies in extensive contexts, with emphasis on the generation of systematic data, interinstitutional coordination, and technology transfer aimed at the sustainability and conservation of goat resources. These insights may also inform genetic improvement strategies in other developing countries facing similar environmental and structural constraints in low-input goat production systems, particularly in arid and semi-arid regions. Full article

Dust storms are among the most significant environmental hazards affecting arid and semi-arid regions of Iran, yet their long-term behavior remains insufficiently characterized at the national scale. This study provides a comprehensive 20-year assessment (2003–2022) of dust-day variability across 50 synoptic stations using an integrated framework that combines descriptive statistics, trend analysis, extreme-event analysis based on the generalized extreme event GEV distribution, spatial clustering, and machine-learning-based forecasting. Results reveal strong spatial heterogeneity, with eastern and southeastern regions—particularly Zabol, Zahedan, Tabas, Naein, and Yazd—emerging as persistent dust hotspots due to arid climate, extensive desert surfaces, and dominant wind systems such as the Sistan 120-day wind. Trend analysis shows mixed behavior across the country, with significant increases in several central and western stations and notable decreases in southeastern stations, indicating that dust dynamics are driven by localized environmental and hydrological changes rather than uniform national forcing. Extreme value analysis demonstrates that high-impact dust years occur almost annually in eastern Iran, while extreme events remain rare in western and northern regions. K-means clustering identifies three coherent dust regimes—high-dust east/southeast, moderate-dust central region, and low-dust west/north—providing a practical basis for regional dust management. Long Short-Term Memory (LSTM) forecasts suggest stable to moderately variable dust activity over the next decade, although model performance declines in stations with high temporal variability, such as Naein. Overall, the findings highlight the spatial concentration and temporal complexity of dust activity in Iran and underscore the need for region-specific mitigation strategies, improved land and water management, and enhanced monitoring systems to reduce the environmental and health impacts of dust storms. Full article

The concepts of anthromes and human appropriation of net primary production (HANPP) are both valuable in understanding our human-dominated planet, yet they have never been integrated theoretically or empirically. Here we utilize an extensive county-level dataset on HANPP and its product-level components to derive, through cluster analysis, ten contemporary US anthromes. From highest to lowest density of harvested HANPP, the anthromes are: rainfed corn–soy, dairy fodder, spring wheat–small grain, dryland winter wheat, subtropical soy–cotton, commercial timber, mixed hardwood and pasture, recovered eastern forest, prairie–sagebrush rangeland, and arid and alpine sparse grazing. Expanding to thirteen anthromes maintains these, while bifurcating the commercial timber (softwood, hardwood), rainfed corn–soy (core, fringe) and mixed hardwood and pasture anthromes. Trend analysis shows the expansion of the high-HANPP rainfed corn–soy and the low-HANPP recovered eastern forest anthromes between 2002 and 2017, while some other anthromes with moderate HANNP_harvest are contracting. The methods described here can be applied to any country where data on HANPP can be obtained. Full article

Urban community parks are important public open spaces (POSs) that support residents’ quality of life (QoL) by aiding recreation, social interaction, and physical activity. However, evidence on how to design and assess sustainable POS in Saudi Arabia remains limited, particularly in relation to the country’s hot–arid climate, socio-cultural context, and emerging urban development priorities. This study aims to develop a context-sensitive framework for the design and assessment of sustainable POSs (a scope of urban community parks) in Saudi Arabia using a mixed-methods approach. The study combined: (i) a structured review of the literature on POSs’ sustainability and QoL/subjective well-being (SWB); (ii) naturalistic field observations in two community parks in Al-Khobar (Shells Park and Prince Ibn-Jalawy Park); (iii) an on-site questionnaire survey of park users assessing satisfaction and self-reported well-being (n = 89); and (iv) structured expert interviews to refine and prioritize the framework elements (n = 15). The quantitative analysis included descriptive statistics, Pearson correlation analysis, and reliability testing using Cronbach’s alpha, the Mann–Whitney U test, and the Kruskal–Wallis test to explore the associations between perceived park attributes, user satisfaction, and self-reported well-being. The framework was iteratively refined through triangulation via the literature, field evidence, user feedback, and expert judgement, while expert responses were synthesized using weighted mean scores, simple ranking system, and the Relative Importance Index (RII). The findings indicate that shading and thermal comfort, safety, accessibility, maintenance, and cultural alignment are the most important design priorities in the Saudi Arabian context. The empirical assessment also highlights recurrent shortcomings in the selected parks, particularly inadequate heat mitigation measures, inconsistent maintenance, limited recreational infrastructure, and the weak integration of smart support features. Based on this triangulated evidence, the study proposes a framework comprising nine categories, 43 sub-categories, with 137 indicators organized across environmental, socio-cultural, economic, and smart-enabler considerations. The framework provides a practical and context-sensitive tool for evaluating existing parks, prioritizing interventions, and guiding future community park development in support the Quality-of-Life Programme of Saudi Vision 2030. Full article

Air pollution associated with public transport systems constitutes a critical yet highly heterogeneous component of urban exposure and represents an important challenge for sustainable urban mobility and environmental health governance. Commuters and transport workers are frequently subjected to pollutant concentrations that exceed those reported by ambient background monitoring networks. This review provides a comprehensive synthesis of the global scientific literature on air quality in public transport microenvironments—including buses, bus stops, terminals, and underground stations—through a multidimensional analytical framework that considers climatic classification, socio-economic context, meteorological drivers, transport microenvironment typology, sampling strategies, analytical techniques, and exposure metrics. A large body of peer-reviewed studies published worldwide was examined to identify dominant patterns, methodological trends, and persistent knowledge gaps. Across regions, the evidence consistently reports elevated concentrations of particulate matter (PM_2.5, PM₁₀, and ultrafine particles) and traffic-related gaseous pollutants, particularly within confined or poorly ventilated environments and during peak traffic periods. Marked geographical, climatic, and socio-economic imbalances are evident, with most studies conducted in temperate and tropical climates and in countries with very high or high Human Development Index, whereas arid, continental, and low-HDI regions remain substantially underrepresented. From a methodological perspective, the literature is dominated by short- to intermediate-term monitoring campaigns relying on active sampling, mobile measurements, and increasingly calibrated low-cost sensors, while long-term stationary observations and standardized integrative monitoring frameworks remain scarce. Although advanced analytical approaches—such as chemical characterization, environmental magnetism, receptor modeling, computational fluid dynamics, and inhaled dose assessment—are increasingly applied, their systematic integration remains limited. Overall, this review reveals persistent methodological, geographical, and conceptual gaps and highlights the urgent need for standardized, interdisciplinary, and long-term monitoring strategies to improve exposure assessment and support evidence-based mitigation policies and sustainable urban transport planning aimed at reducing health risks associated with public transport-related air pollution. Full article

Climate change poses a significant threat to water resources and agricultural sustainability, particularly in semi-arid and socio-economically vulnerable regions such as South Africa. This review synthesizes empirical, modelling, and policy-based evidence on the impacts of climate change on water availability, crop production, and adaptation strategies in the country, drawing on approximately 162 peer-reviewed studies and institutional reports published between 2010 and 2025. The findings indicate that rising temperatures, shifting rainfall patterns, and an increasing frequency of extreme events, such as droughts and floods, are intensifying water stress and disrupting agricultural systems. Hydrological models consistently project declines in runoff, soil moisture, and streamflow, while crop simulation models predict reductions in the yields of major staple crops, including maize, wheat, and sorghum, particularly under high-emission scenarios. Although localized improvements in water availability and crop productivity may occur, these tend to be limited and highly context-specific. In response, South Africa has implemented a range of adaptation strategies, including climate-smart agriculture, water-efficient irrigation, ecosystem-based approaches, and policy-driven interventions. However, their effectiveness remains constrained by institutional fragmentation, limited financial capacity, and persistent socio-economic inequalities, particularly among smallholder farmers. The review underscores the need for integrated, inclusive, and context-specific adaptation strategies that strengthen governance, enhance the science–policy interface, and improve access to climate finance. The insights provided offer valuable guidance for advancing climate resilience in South Africa and other vulnerable regions across the Global South. Full article

A robust analysis of water use in major food production systems is crucial for improving their productivity and sustainability in water-scarce arid and semi-arid regions like Punjab (India) facing the depletion of groundwater resources. This study aimed to assess blue water use and blue water productivity in dairy farming systems across different farm sizes in Punjab. Comprehensive monitoring and assessment of water use over a full year (from July 2022 to June 2023) was conducted on 24 dairy farm sheds in Punjab, revealing significant variability in their blue water use (measured in L per adult animal per day) and blue water productivity quantified as kg of fat- and protein-corrected milk (FPCM) produced per m³ of the blue water consumed. The variability was influenced by factors such as livestock species, farm size (medium with 15–25 livestock, large with 25–100 livestock, and commercial with >100 livestock), bathing and servicing routines, and energy use patterns. The average dairy livestock total blue water consumption varied from 112 ± 14 to 131 ± 19 L per adult animal per day, with 20–40% higher livestock drinking water and about six times higher livestock bathing and serving water used during the summer months. Interestingly, a large share (45%) of the average total blue water consumption is contributed by indirect water consumption via the use of energy (electricity and diesel) in dairy farm sheds. Dairy milk blue water productivity was quantified higher, ranging from 154 ± 11 to 225 ± 59 kg FPCM per m³ in buffalo- and crossbred cattle-based dairy farm sheds. However, indigenous cattle showed a lower blue water productivity ranging from 56 to 97 kg FPCM per m³, reflecting their lower milk yields and limited use of intensified management practices. The state-level water scarcity footprint (WSF) of Punjab dairy farm sheds was quantified at 4870 million m³ world-eq, which showed a significant spatial variation among Punjab districts. However, the results of this study offer novel seasonally and spatially disaggregated benchmarks of blue water consumption, blue water productivity, and the water scarcity footprint of Punjab’s dairy farming sheds. This new information is crucial for the development of locally calibrated and validated models for improving the water productivity and sustainability of dairy farming across Punjab and other similar arid and semi-arid regions in Southeast Asian countries. Full article

The date palm (Phoenix dactylifera L.) is a significant perennial crop in arid and semi-arid regions. Understanding the evolution of research on this crop is vital for identifying major research trends, current challenges, and emerging areas for future agricultural innovation and sustainable crop management strategies. This study conducts a comprehensive scientometric analysis of 9062 scientific publications indexed in the Scopus database between 1837 and 2025, spanning nearly two centuries of research on date palm. Using bibliometric tools such as Bibliometrix and ScientoPy, the study examines patterns of scientific production, collaboration networks, institutional participation, thematic evolution, and emerging research trends. The results indicate a marked increase in scientific publications, especially after 2007, with Saudi Arabia, Egypt, and Iran among the most productive countries. The thematic structure of the literature shows a shift from early studies on diseases and oasis cultivation to recent research focusing on biomass valorization, activated carbon production, antioxidant properties, pest management with special emphasis on the red palm weevil (Rhynchophorus ferrugineus), mechanical properties of date palm fibers, and plant biotechnology on methods like micropropagation and somatic embryogenesis. Geographically, research activity is concentrated in the Middle East and North Africa, the primary palm-producing region, with Saudi Arabia leading in institutions, researchers, funding, and international collaborations in date palm research. Emerging trends indicate a rising interest in digital tools, particularly artificial intelligence and advanced analytical tools, which are increasingly being explored to improve crop management. Overall, these findings provide a structured overview of the historical development of date palm research and contribute to a deeper understanding of the evolution and organization of scientific knowledge in this field. Additionally, the identification of key research pathways and emerging trends offers valuable insights for guiding future agronomic innovation, supporting evidence-based crop management strategies, and promoting the sustainable development of date palm production systems. Full article

Climate variability and rising water scarcity are major challenges to agricultural sustainability, particularly in Mediterranean climates with high spatial heterogeneity. Agroclimatic zoning is a fundamental analytical tool for digital agriculture and climate-resilient agriculture. The current effort proposes an integrated agroclimatic and micro-agroclimatic zoning approach for Greece, based on the Aridity Index (AI), CORINE Land Cover 2018 land-use data, and topographic factors. Daily precipitation and reference evapotranspiration data from 139 meteorological stations and 382 rain gauges were spatially interpolated using Empirical Bayesian Kriging, identifying eight agroclimatic classes adapted to the country’s specific conditions. The results indicate a high degree of variability in space, with most agricultural areas being classified as dry to sub-humid, suggesting higher irrigation requirements and sensitivity to drought. Micro-agroclimatic zones have been identified by combining agroclimatic classes, land use, and elevation. Consequently, the derived zones can be used as groundwork for designing methodologies towards more efficient agrometeorological monitoring through the improved localization of IoT agrometeorological stations. Validation with the Köppen–Geiger climate classification reveals high spatial and statistical agreement (χ² = 248,454.09, df = 49, p < 0.001), proving the climatic validity of the proposed approach and its higher sensitivity to local water balance conditions. Full article

Post-harvest losses of fruits and vegetables are an important bottleneck in food systems of countries around the world, with 30–50% of perishable food items lost between farm and consumer, smallholder farmers in low-and-middle income countries (LMICs) with poor cold chain infrastructures facing a disproportionate burden. Evaporative cooling (EC) is a low-cost and energy-efficient alternative to mechanical refrigeration; however, traditional systems are operated in one position and are dependent on climate, which restricts its performance. The combination of Internet of Things (IoT) sensing, machine learning (ML), and the advanced control theory has made intelligent evaporative cooling systems (IECS) adaptive, data-driven platforms that can regulate the environment in real-time and optimise autonomously. This is a systematic literature review that was carried out according to PRISMA 2020, summarising 94 peer-reviewed articles published in 2018–2025 to map the technological landscape, performance indicators, and research directions of the field of post-harvest fruit and vegetable preservation using IECS. Findings indicate that IECS can considerably lower the storage temperatures, increase the shelf life by 50–200%, and reduce energy consumption by 75–90% compared to traditional refrigeration, and the payback period is as short as 1.2 years. In arid conditions, ML models are accurate in prediction with an R² of 0.98. The gaps in the research identified are a lack of validation in wet climatic conditions, non-existent standardised Ag-IoT protocols, inadequate Food–Energy–Water (FEW) nexus calculation, and no explainable AI (XAI) interfaces. An example of a conceptual framework of four layers synthesised is proposed to direct next-generation research and implementation of the IECS. Full article

Potato (Solanum tuberosum L.), as a shallow-rooted crop, is relatively sensitive to soil water deficits; therefore, irrigation plays a crucial role in achieving economically viable production and quality. However, due to the scarcity of water, which has become more precious and less available due to climate change, it is essential to optimize irrigation management and enhance water productivity. The present systematic review, drawing on the most relevant scientific literature, discusses the current state of knowledge on irrigation management and water productivity in potato crop production in semi-arid regions, particularly within Mediterranean countries. Overall, the main findings indicate different possible solutions for saving irrigation water and increasing water productivity by adopting a combination of water-saving strategies, such as static or dynamic deficit irrigation, or partial root-zone drying, and by using a suitable irrigation method like drip irrigation. In addition, the importance of other agronomic factors, namely planting dates, soil texture, and fertilization management, has also emerged, prompting scientists to pay greater attention to them in the future, along with the selection or breeding of appropriate cultivars, which may represent the long-term solution to the problem of water scarcity. Full article