Harsh Climate Research Articles

Phytochemical Analysis, Antioxidant Activity of Wild Medicinal Plants of Himalayan Range

Plants that are indigenous to the Himalayas have been exploited for their therapeutic properties for over 6,500 years. Using their deep knowledge of the local flora and fauna, traditional healers in the region are able to treat a wide variety of maladies with herbal treatments. People who live in rural areas of the Himalayas rely on wild medicinal plants for their health, and we need to do everything in our power to ensure that these plants continue to thrive in the harsh desert climate of the Himalayas. Raw materials that are obtained from wild plants are in high demand all around the world, particularly among pharmaceutical companies, ethnomedics, and practitioners of traditional medicine as well as other medical practitioners. India has been a top exporter of raw herbal medications all over the world. This is mostly due to the number of medicinal plants that can be found in the Himalayas. The aim of this study was to determine the Phytochemical analysis and antioxidant activity of various parts of 20 selected wild medicinal plants, found in the Himalayan regions in India, China, Nepal, Bhutan and Pakistan including Swertia bimaculate, Ficus neriifolia, Rubus treutleri, Periploca calophylla, G. depressa, Buddleja napaulensis, Habenaria edgeworthii, Pyracantha crenulate, Roscoea procera, Allium rubellum, Berberis chitria, Capsella bursa-pastoris, Artemisia maritima, C. glanduliferum, C. distans, Juniperus macropoda, Origanum vulgare, Valeriana jatamansi, Polygonatum verticillatum, Meconopsis aculeate and Fragaria nubicolais. There were several different parts of the species that were examined to determine their total polyphenol, flavonoid, alkaloid, saponin, and tannin concentrations. One fraction of the plant extracts was found to contain a higher quantity of phytochemicals when compared to the other portions. Through the utilisation of the DPPH and FRAP model systems, the antioxidant capacity of a number of different components was assessed. The high-performance liquid chromatography (HPLC) technique can be combined with the DPPH and/or ABTS tests in order to rapidly screen extracts for the presence of active chemicals.

Agronomic Evaluation and Chemical Characterization of Salvia lavandulifolia Vahl. over 3 Consecutive Years Cultivated Under Harsh Climatic Conditions in Southeast Spain

The cultivation of Salvia lavandulifolia, Spanish sage, makes an important contribution to the economy of many rural areas in Southeastern Spain. This aromatic plant species is characterized by high intraspecific variability, which makes the selection process for the establishment of homogeneous crops difficult. Additionally, imminent climate change threatens to reduce its production, especially when cultivated in drylands. Therefore, to guarantee the continued production of this type of sage, it is essential to study its agronomic behavior and production quality. For this, clones from four ecotypes were cultivated for three years, assessing changes in their biomass production, essential oil yield and quality, and phenolic fraction, as well as the corresponding antioxidant activity. The results suggest that essential oil yield is genetically predetermined, greater biomass not being associated with higher quantities of essential oil. Weather conditions affected both essential oil and phenolic fraction secondary metabolism. Under very harsh conditions, Spanish sage produces higher concentrations of camphor and 1,-8-cineole along with luteolin-7-O-glucoside, and lithospermic, rosmarinic, and salvianolic A acids in its phenolic fraction. The synthesis of these components helps the species to withstand the hot and dry conditions typical of southeast Spain.

Seasonal stability of the rumen microbiome contributes to the adaptation patterns to extreme environmental conditions in grazing yak and cattle

BackgroundThe rumen microbiome plays an essential role in maintaining ruminants’ growth and performance even under extreme environmental conditions, however, which factors influence rumen microbiome stability when ruminants are reared in such habitats throughout the year is unclear. Hence, the rumen microbiome of yak (less domesticated) and cattle (domesticated) reared on the Qinghai-Tibetan Plateau through the year were assessed to evaluate temporal changes in their composition, function, and stability.ResultsRumen fermentation characteristics and pH significantly shifted across seasons in both cattle and yak, but the patterns differed between the two ruminant species. Ruminal enzyme activity varied with season, and production of xylanase and cellulase was greater in yak compared to cattle in both fall and winter. The rumen bacterial community varied with season in both yak and cattle, with higher alpha diversity and similarity (beta diversity) in yak than cattle. The diversity indices of eukaryotic community did not change with season in both ruminant species, but higher similarity was observed in yak. In addition, the similarity of rumen microbiome functional community was higher in yak than cattle across seasons. Moreover, yak rumen microbiome encoded more genes (GH2 and GH3) related to cellulose and hemicellulose degradation compared to cattle, and a new enzyme family (GH160) gene involved in oligosaccharides was uniquely detected in yak rumen. The season affected microbiome attenuation and buffering values (stability), with higher buffering value in yak rumen microbiome than cattle. Positive correlations between antimicrobial resistance gene (dfrF) and CAZyme family (GH113) and microbiome stability were identified in yak, but such relationship was negatively correlated in cattle.ConclusionsThe findings of the potential of cellulose degradation, the relationship between rumen microbial stability and the abundance of functional genes varied differently across seasons and between yak and cattle provide insight into the mechanisms that may underpin their divergent adaptation patterns to the harsh climate of the Qinghai-Tibetan Plateau. These results lay a solid foundation for developing strategies to maintain and improve rumen microbiome stability and dig out the potential candidates for manufacturing lignocellulolytic enzymes in the yak rumen to enhance ruminants’ performance under extreme environmental conditions.

Optimizing the Sweet Potato Supply Chain in Zimbabwe Using Discrete Event Simulation: A Focus on Production, Distribution, and Market Dynamics

This study leverages a Discrete Event Simulation (DES) model to optimize the sweet potato supply chain in Zimbabwe, focusing on production, distribution, and market dynamics under varying climate conditions. The integration of climate data into the simulation model reveals significant insights into the resilience of different sweet potato varieties, particularly highlighting the suitability of yellow-skinned sweet potatoes for harsh climates due to their high resilience and drought resistance. However, market preferences still favor white-skinned varieties despite their vulnerability to climate extremes. The DES model identifies key bottlenecks, particularly in cultivation and transportation, that hinder supply chain efficiency. To address these challenges, the study emphasizes the importance of targeted interventions, such as improving access to irrigation, strengthening pest management, and adopting community-based resource-sharing approaches. These strategies are critical for enhancing both the resilience and efficiency of the supply chain. Additionally, the study highlights the urgent need for adaptive strategies to mitigate the effects of drought on agricultural productivity, especially in regions that heavily rely on crops like sweet potatoes. Overall, this research offers strategic insights for policymakers and stakeholders aiming to improve food security and agricultural productivity in Zimbabwe, as well as in other countries with similar climate challenges.

Transcriptome sequencing analysis of overexpressed SikCDPK1 in tobacco reveals mechanisms of cold stress response

BackgroundCold is a significant limiting factor in productivity, particularly in northwestern and eastern China. Calcium-Dependent Protein Kinases (CDPKs), a primary calcium signaling sensor in plants, play an important role in their response to cold. Snow lotus (Sasussured involucrata Kar L) is a plant that thrives in harsh climates and grows in northwest China. However, there were no reports on the transcriptome of OE-SikCDPK1 transgenic tobacco in response to cold.ResultsWhen exposed to cold stress, OE-SikCDPK1 plants displayed a cold-tolerant phenotype compared to non-transgenic tobacco. Under cold conditions, relative water content reduced, relative conductivity increased, malondialdehyde levels rose, and cold-responsive gene expression increased. The OE-SikCDPK1 gene and non-transgenic tobacco were employed for research purposes. The transcriptome of leaves was sequenced using the HISAT2 sequencing platform, and the data were used to examine gene function annotation and differentially expressed genes (DEGs). 53,022 DEGs in tobacco leaves under cold treatment were obtained. The GO enrichment results revealed that it was enriched for biological-process, defense response and other processes under cold stress. The KEGG pathway enrichment analysis revealed that the metabolic pathways of significant enrichment of DEGs under cold stress mainly involved MAPK signaling pathway transduction. The transcription factor identification results showed that the transcription factors with the largest number of differential expressions under cold treatment were mainly from WRKY, AP2, MYB, bHLH, NAC and other transcription factor families.ConclusionThe cold tolerance mechanism of snow lotus SikCDPK1 was comprehensively analyzed at the transcriptional level for the first time using RNA-seq technology. This study demonstrates that SikCDPK1 can respond to cold by participating in the MAPK signaling pathway and regulating the expression levels of transcription factors, including WRKY, AP2, MYB, bHLH, and NAC. These results offer valuable insights for further exploration of the cold tolerance mechanism associated with SikCDPK1.

Rutting and fatigue behavior of neat and nanomodified asphalt mixture with SiO2 and TiO2

Modern asphalt technology has adopted nanomaterials as an alternative option to assert that asphalt pavement can survive harsh climates and repeated heavy axle loading during service life and prolong pavement life. This work aims to elucidate the behavior of the modified asphalt mixture fracture model and assess the fatigue and Rutting performance of Hot Mix Asphalt (HMA) mixes using the outcomes of indirect Tensile Strength (IDT), Semicircular bend (SCB) and rutting resistance; for this, a single PG (64−16) nanomodified asphalt binder with 5 % SiO2 and TiO2 have been investigated through a series of laboratory tests, including: Resilient modulus, Creep compliance, and tensile strength, SCB, and Flow Number (FN) to study their potential role of these nanomaterials to improve the rutting characteristics and fatigue life of wearing asphalt mixture at different temperatures. The outcome of this study revealed the positive role of these materials in enhancing mixture IDT characteristics, fracture energy, and viscoelastic deformation component of crack propagation; on the other hand, at higher temperatures, the modified mixture exhibited a superior performance in reducing the permanent deformation of asphalt mixture with SiO2 followed by TiO2 as compared to neat asphalt mixture.

Failure evaluation of outdoor polymeric insulators based on statistical condition-assessment methods

Field aging of outdoor polymeric insulators results in unscheduled outages in power systems particularly in harsh climate conditions. In this paper, a strategic maintenance framework is proposed in order to prevent overhead line outages. The presented scheme is based on condition assessment of the real aged polymeric insulators. Data of tensile test, hardness test, thermogravimetric analysis (TGA), and Fourier transform infrared spectroscopy (FTIR) are used to extract critical features of the aged samples based on classification of fuzzy c-means clustering. Then, a lifetime prediction analysis is done based on Cox hazards analysis to develop further maintenance strategy. The proposed model is validated through numerical analyses on polymeric insulators for various validation evaluations including pollution severity analysis and hydrophobicity class (HC) measurement. Obtained results verify accuracy of the intelligent model to predict lifetime of the aged polymeric insulators. The presented strategic framework can be effectively applied to online monitoring, condition assessment and preventive maintenance programs of the power system utilities.

Design and performance evaluation of a solar-assisted biogas and air-source heat pump hybrid system for radiant heating applications

Energy and environmental crises have become critical challenges, making the efficient use of clean energy a focus of public attention. Although emerging clean energies have high economic and environmental values, these single energy sources are not well-developed. In colder climates, maintaining a stable fermentation temperature can be difficult, leading to the idling of many biogas digesters. Furthermore, despite extensive research on solar-assisted air-source heat pumps, these systems perform poorly in cold climates with low solar irradiance. To address these issues, this study investigates the integration of a solar-assisted biogas and air-source heat pump hybrid heating system (SBHP-HHS) for capillary radiant heating in rural North China, specifically adapted to local conditions. The system aims to utilize the combined benefits of various clean energy sources to improve system reliability in harsh climates. By combining experimental analysis with TRNSYS simulation, the system performance during the heating season in rural northern China was evaluated. Experimental results show that the hybrid system, utilizing the radiant capillary terminal, is capable of maintaining room temperatures above 20 °C, demonstrating its effectiveness. Simulation results show that the air-source heat pump achieves a coefficient of performance (COP) of 4.6. This efficiency level is generally favorable, ensuring stable operation. Additionally, the system achieves a solar-biogas hybrid utilization rate exceeding 75 % and a primary energy-saving rate of 78 %. Economically, the system offers an 8.23-year dynamic payback period and annual cost savings of 3055 CNY. Environmentally, it reduces CO2 emissions by 4263.6 kg annually. This study provides a solid experimental foundation for further research, offering empirical evidence to optimize system performance.

Novel optimized models to enhance performance forecasting of grid-connected PERC PV string operating under semi-arid climate conditions

This study focuses on modeling and forecasting the performance of a grid-connected photovoltaic (PV) string, aiming to enhance the accuracy of output power prediction, which is crucial for the effective management and stability of the electrical grid. While previous research has extensively examined PV modules, there is a notable lack of studies specifically targeting PV string behaviors, especially in harsh climates prevailing in semi-arid regions. This study addresses this gap by investigating the modeling and performance prediction of a Passivated Emitter Rear Cell (PERC) PV string under semi-arid climate conditions using analytical and predictive approaches based on both implicit and explicit models as Single Diode Model (SDM), Das Model (DM), Boutana et al. Model (BM) and Power Law Model (PLM). New mathematical models of DM and BM shape parameters versus temperature and irradiance along with novel analytical formulas giving DM shape parameters as a function of PV metrics have been introduced. The proposed approaches are validated using real measurements of a PERC PV string incorporating 12 JKM405M-72H PV modules operating at Green Energy Park (GEP) research facility in Morocco. The reliability of these approaches is assessed by comparing I-V curves, P-V curves and peak power generated and predicted by SDM, DM, BM and PLM to actual measurements. The comparison reveals that generated and predicted outcomes align well with measured data, with an average value of Normalized Root Mean Square Error (NRMSE) not exceeding 4.16 % for all models throughout the day. The findings indicate that the proposed approaches effectively predict the performance of the PERC PV string, accounting for climatic influences and providing insights into optimizing PV system performance, thereby contributing to improved grid stability in semi-arid regions.

Multiple plant-community traits improve predictions of later-stage outcomes of restoration drill seedings: Implications for metrics of success

Success of ecological restoration is often only knowable if treatments meet criteria defined by biotic thresholds, but analytical frameworks to determine metrics of success and their underlying thresholds are needed. Early indicators of longer-term recovery trajectories are particularly critical where re-treatments may be required, such as in harsh climates or where repeated disturbances or invasive pressures prevail. We developed a framework for identifying which biotic traits would provide the best initial indication of longer-term target restoration goals and applied the framework to restoration drill-seedings of deep-rooted perennial bunchgrasses (DRPBGs) used to rehabilitate and restore semiarid rangelands threatened by exotic annual grasses (EAGs, e.g. cheatgrass) and the recurrent wildfire that EAGs cause. Initial traits measured included cover, basal diameter, height, and density (#plants/area) of DRPBGs and cover of EAGs and Sandberg bluegrass (Poa secunda, POSE, a disturbance-adapted perennial). The longer-term target objective was ≥25 % DRPBG cover and ≤13 % EAG cover by the 5th year following drill-seedings. Measurements were made on 112 plots spanning 113,000 ha in sagebrush steppe on the Soda wildfire scar, in the Northern Great Basin, USA. Traits of DRPBGs tended to be uncorrelated with one another, thus each was informative in describing vegetation condition. Where DRPBG cover was initially >17 %, it tended to become >25 % by the 5th-year post-seeding. In plots that overcame an initial risk of not meeting the target objective (i.e. <17 % initial DRPBG cover), DRPBG tended be large DRPBGs (>22.8 cm height) and plots also had >7 % cover of POSE. Additional “sets” of initial vegetation traits were also predictive of longer-term restoration success or failure. Restoration drill-seeding of DRPBGs is a key but varied-outcome tool for breaking the exotic grass-fire cycle, and, contrary to a conventional tendency to rely on a limited number of mean traits such as % cover, a suite of biotic traits appears necessary to monitor to reliably know if trials are likely to yield success.

Isolation and identification of fungi causing post-harvest spoiled mango fruits vended in Hanoi, Vietnam

Mango (Mangifera indica L.) is one of the most popular and nutritious fruits cultivated widely in Vietnam. However, under increasingly harsh climate conditions, mangoes are easily susceptible to fungal invasion and spoiled, thereby reducing mango yield. Therefore, this study was carried out to determine the pathogenic fungal strains of mango to provide useful information for finding effective measures to prevent the diseases. Rotten mango fruits were collected from different markets in Hanoi, Vietnam. Three fungal strains (M1, M2 and M3) were isolated from the studied mangoes samples. All strains were demonstrated as fungal agents associated with mango rot through pathogenicity tests. Microscopic observation showed that the mycelium of these fungal strains was branched and septate. M1 strain formed dark-brown conidiophores and conidia produced on conidiophores. M2 strain produced α- and β-conidia, as well as sub-ovoid and brown sclerotia. Whereas the M3 strain could not produce spores. Additionally, this study determined that all three fungal isolates showed the fastest growth on PDA at 30oC. The optimum growth of the M1 and M3 strains was observed at pH 5.0 while the M2 strain grew actively at pH 7.0 and 8.0. All selected strains showed the ability to produce extracellular enzymes, in which the M1 strain synthesized both cellulase and pectinase while the M2 and M3 strain secreted only pectinase. Finally, by molecular identification method, the isolates (M1, M2 and M3) were identified as Aspergillus niger isolate M1, Phomopsis sp. M2, Lasiodiplodia theobromae M3, respectively.

Species Richness and Similarity of New Zealand Mayfly Communities (Ephemeroptera) Decline with Increasing Latitude and Altitude.

The distribution of species in relation to latitude and altitude is of fundamental interest to ecologists and is expected to attain increasing importance as the Earth's climate continues to change. Species diversity is commonly greater at lower than higher latitudes on a global scale, and the similarity of communities frequently decreases with distance. Nevertheless, reasons for such patterns are not well understood. We investigated species richness and changes in community composition of mayflies (Ephemeroptera) over 13 degrees of latitude at 81 locations throughout New Zealand by light-trapping and the benthic sampling of streams. Mayflies were also sampled along an altitudinal gradient on a prominent inactive volcano in the east of North Island. Sampled streams were predominantly in the native forest, at a wide range of altitudes from sea level to c. 1000 m a. s. l. A total of 47 of the 59 described New Zealand mayflies were recorded during the study, along with five undescribed morphospecies. Species richness declined and the degree of dissimilarity (beta diversity) of mayfly communities increased significantly from north to south but less strongly with increasing altitude. Our results suggest that the southward decline in species richness has historical origins with the north of the country having acted as a major refuge and region of speciation during the Pleistocene. The increasing dissimilarity of the northern and southern communities may reflect an increasingly harsh climate, variable amounts of subsequent southward dispersal of northern species and, in the South Island, the presence of species which may have evolved in the newly uplifted mountains during the Miocene-Pliocene.

Strategies, challenges, and outcomes of heat stress resilience in sub-Saharan African community-based cattle feedlots: a systematic review.

In sub-Saharan Africa, cattle feedlots face a significant challenge in dealing with heat stress. However, there is a lack of inclusive strategies for resilience in these situations. The aim of this systematic review is to investigate the strategies, challenges, and outcomes related to heat stress resilience in community-based cattle feedlots in sub-Saharan Africa. The PRISMA approach, which is a method for reporting systematic reviews and meta-analyses, was used to identify, screen, and analyze 30 peer-reviewed articles published over the last 20 years from Google Scholar and Scopus. The review found that key strategies to mitigate heat stress include providing shade through natural and artificial means, ensuring constant access to cool, clean water using water spraying systems and cooling ponds, and implementing nutritional adjustments such as high-energy feeds and electrolyte supplements. Additionally, genetic selection for heat-tolerant breeds and management practices like adjusting feeding times and improving ventilation were found to be effective in dealing with heat stress. In particular, local germplasm and genetic traits of cattle in sub-Saharan Africa play a crucial role in heat stress resilience. Indigenous breeds, which have adapted to the region's harsh climate over centuries, exhibit traits such as higher heat tolerance, better water-use efficiency, and improved feed conversion rates under heat stress conditions. This genetic resilience can be enhanced through targeted breeding programs aimed at amplifying these beneficial traits. Implementing these strategies resulted in improved cattle health and productivity, as evidenced by enhanced weight gain, better reproductive performance, and lower mortality rates. The socio-economic benefits of these strategies included reduced economic losses and increased farmer incomes, which in turn contributed to improved community health and nutrition. However, the review also identified significant challenges, including financial constraints, limited access to knowledge and training, and cultural resistance. To address these barriers, the review recommends increased investment in affordable cooling technologies, farmer education, and community-based initiatives. Additionally, leveraging the genetic strengths of local cattle breeds should be prioritized to maximize the effectiveness of heat stress resilience strategies.

Thickness and Structure of Permafrost in Oil and Gas Fields of the Yamal Peninsula: Evidence from Shallow Transient Electromagnetic (sTEM) Survey

The Yamal-Nenets Autonomous District, especially the Yamal Peninsula located in the permafrost zone, stores Russia’s largest oil and gas resources. However, development in the area is challenging because of its harsh climate and engineering–geological features. Drilling in oil and gas fields in permafrost faces problems that are fraught with serious accident risks: soil heaving leading to the collapse of wellheads and hole walls, deformation and breakage of casing strings, gas seeps or explosive emissions, etc. In this respect, knowledge of the permafrost’s structure is indispensable to ensure safe geological exploration and petroleum production in high-latitude regions. The extent and structure of permafrost in West Siberia, especially in its northern part (Yamal and Gydan Peninsulas), remain poorly studied. More insights into the permafrost’s structure have been obtained by a precise sTEM survey in the northern Yamal Peninsula. The sTEM soundings were performed in a large oil and gas field where permafrost is subject to natural and anthropogenic impacts, and its degradation, with freezing–thawing fluctuations and frost deformation, poses risks to exploration and development operations, as well as to production infrastructure. The results show that permafrost in the western part of the Yamal geocryological province is continuous laterally but encloses subriver and sublake unfrozen zones (taliks) and lenses of saline liquid material (cryopegs). The total thickness of perennially frozen rocks is 200 m. The rocks below 200 m have negative temperatures but are free from pore ice. Conductive features (&lt;10 Ohm﮲m) traceable to the permafrost base may represent faults that act as pathways for water and gas fluids and, thus, can cause a geohazard in the oil and gas fields (explosion of frost mounds, gas blow during shallow drilling, etc.).

A Comprehensive Analysis of Macronutrients, Micronutrients, and Bioactive Compounds in Gir Gai Milk from Sai Nath University

The Gir Gai, a distinguished breed of Zebu cattle, are scientifically identified as Bos primigenius indicus in India, renowned for their adaptability to harsh climates, offer a unique milk source with exceptional nutritional and pharmacological properties. This study comprehensively analyzed the macronutrient, micronutrient, and bioactive components of Gir Gai milk obtained from Sai Nath University. Results revealed a rich profile of essential nutrients, including proteins, fats, vitamins (A, D, B2, B12), and minerals (calcium, phosphorus, magnesium, potassium, zinc). Moreover, the milk exhibited a strong immune-enhancing profile, characterized by high levels of immunoglobulins and antimicrobial enzymes. These findings highlight the potential of zebu cattle milk as a valuable dietary resource with significant health benefits. Further research is warranted to explore the specific mechanisms underlying its nutritional and pharmacological properties and to evaluate its potential applications in human nutrition and wellness.

Association of water stress and Fusarium solani exacerbated Dalbergia sissoo dieback disease.

Globally, there is a growing concern about tree mortality due to harsh climates and changes in pest and disease patterns. However, experimental studies on the interactions between biotic and abiotic stresses in plants are relatively scarce. In this study, we investigated the interaction between Fusarium solani and water-stressed Dalbergia sissoo saplings. We postulated that under drought conditions, sissoo plants would become more susceptible to dieback infestation. Five fungi, including Fusarium oxysporum, Curvularia lunata, Cladophialophora carrionii, Alternaria alternaria, and Fusarium solani, were isolated from an old shisham tree showing advanced symptoms of dieback infestation. These fungi were identified based on their ITS sequence homology and spore characteristics. Dieback development was more pronounced in plants experiencing water stress, regardless of their predisposition or whether it occurred simultaneously. Lesions were more noticeable and longer in predisposed saplings (3.8cm), followed by simultaneous (2.4cm) and much smaller lesions in seedlings that were inoculated and well-watered (0.24cm). Progressive browning of the upper leaves, which lowers sapling height in predisposed, simultaneous, and well-watered inoculated saplings to 8.09 inches, 5.93 inches, and 17.42 inches, are typical dieback symptoms. Water stress causes the loss of chlorophyll a, b, and carotenoids, which reduces stomatal conductance, transpiration rate, and photosynthetic activity, leading to poor development and mortality. Similarly, predisposed, simultaneous, and well-watered inoculated seedlings expressed increased activity of CAT (22.57, 18.148, and 9.714 U/mg) and POD (3.0, 4.848, 1.246 U/mg), to reduce the damage caused by elevated levels of H2O2 expression. It is concluded that water stress is the main cause of dieback in shisham saplings that subsequently disposed of infected seedlings to secondary agents such as fungi and insects in the advanced stages of the dieback with prolonged drought stress. The lack of dieback in native populations is attributed to the absence of several ecological stresses, including water stress, extended droughts, waterlogging, and salinity. This study emphasizes the need for additional research into the effects of abiotic factors linked with fungal diseases on the long-term production and management of D. sissoo in Pakistan.

Escalating Global Threat of Heatwaves and Policy Options for Adaptation and Mitigation

This study evaluates the effects of intense and frequent heatwaves on human health, food security and infrastructure all having a direct bearing on sustainable development. It emphasizes that health issues such as cardiac and respiratory disorders, strokes, and mental health diseases are aggravated in harsh climates. This study focuses on the adverse implications of hot weather and the impact of said phenomenon on various fields of life. The aftermath of the excessive burning of fossil fuels and the emission of greenhouse gases have severely impacted the world by disrupting the economic stability of many countries around the globe. The heat waves are also responsible for low crop yield, fertilizer shortage and adverse impact on livestock. The intense and hot weather has not only caused power outages but also challenged infrastructure sustainability. The continuous usage of cooling systems is leading to urban heat islands adding more heat in the environment. This study highlights the challenges of climate change and brings attention to the need for sustainable development and practices to ensure proper heat management. After a deep insight into information and responses collected for the research, the study suggests some recommendations requiring all stakeholders including policymakers, implementing agencies, organizations and civil society to play their crucial role in devising and implementing suitable policy options and practices for adaptation and mitigation of climate change factors.

Investigating the effect of using hydrogen as fuel on gas turbine performance operating under lean conditions at the Hassi R'mel gas site

This study evaluates the feasibility of using pure hydrogen as fuel for the MS5002C gas turbine at the Hassi R'mel gas site in Algeria. THERMOPTIM software was used to analyze key parameters, including compression ratio, excess air (λ), and climatic conditions, identifying an optimal excess air of 4.5. This configuration was validated over a year under local climatic conditions. The results indicate that at a harsh temperature of 50 °C, the hydrogen-fueled gas turbine increased thermal efficiency by 3.66% and power output by 6.18%, while reducing fuel consumption by 62% compared to an optimized natural gas turbine. Hydrogen use eliminated carbon emissions but caused a slight 1.17% increase in NOx emissions. Under reel climatic conditions, hydrogen fuel eliminated carbon footprint and mitigated the adverse effect of harsh climate on turbine performance, with a peak NOx emission of 1.891 ppm in August.

Design and Comparison of Vertical and Horizontal Hydroponic Systems for Coriander and Spinach Growth

Understanding the differences in growth performance between these two systems will provide valuable insights for optimizing hydroponic farming practices, particularly in regions with harsh climates and limited water access, where sustainable and efficient food production is crucial for addressing future food security challenges. As the global population continues to grow and climate stress intensifies, indoor/vertical farming is to complement traditional agricultural practices by enhancing sustainable food production and ensuring high-quality produce. The study demonstrated that the horizontal hydroponic system was significantly more effective for growing coriander than the vertical system. In summary, the horizontal hydroponic system consistently outperformed the vertical system for both spinach and coriander, with particularly pronounced results for coriander. Since the shoot is the main economic part of both spinach and coriander, the vertical hydroponic system outperforms the horizontal system, offering significant advantages for economic production. These findings highlight the importance of using vertical hydroponic systems to achieve higher and more profitable yields of these crops.

Analysis of the yield of spring oats cultivated in a harsh continental climate

Studies of the yield of spring oats for the period 2012–2021 in the conditions of a sharply continental climate in the Kemerovo region have been carried out. The main soils of the steppe zone are leached heavy loamy chernozem, forest-steppe — gray forest. In 2012, the yield of this crop was the lowest — 9.35 kg/ha. The first one reflects the trend of yield dynamics (trend) and is associated with an increase in the general culture of agriculture. The second is caused by fluctuations in weather conditions in each particular year and is depicted as deviations from the trend. It is shown that the yield of spring oats in both steppe and forest-steppe soil-climatic zones tends to slightly increase. The analysis of the data obtained showed that the maximum yield of spring oats was in 2021 — 22.68 kg/ha, and the lowest was in 2012 (9.35 kg/ha). The high fluctuation of oat yield indicates a strong influence of hydrothermal conditions during the growing season of the crop. It was found that the decrease in the growth rate of spring oat yields in the Kemerovo region was in 2015, 2016 and 2018. The maximum growth rate was observed in 2013 — 178.82%. The maximum decrease in the yield growth rate of spring oats occurred in 2016 and 2018 - by -5.31% and -6.68%, respectively. The highest increase in oat yield was observed in 2013 — 78.82%. The absolute content of 1% yield increase was 19.44 c/ha in 2021 compared to 2012.