Spring Seasons Research Articles

تأثير أعداد البقع الشمسية على الضغط الجوي، ودرجة الحرارة وإشعاعات الموجات القصيرة ومعدل سقوط الأمطار للفترة الزمنية من 2018-2022

The sun is responsible for the climate in a very dominant way, and it is the largest supplier of energy to the Earth. Sunspots are (dark features) on the surface of the Sun, and they appear and disappear regularly. Studying climate changes due to the number of these spots and the effects resulting from them in terms of climate and their effects on Life on planet Earth is considered one of the main interests of researchers in this field. This paper aims to study the relationship between changes in the number of sunspots and some climatic factors in the atmosphere through approved and highly reliable meteorological data. An analytical model was used to reach the result, and through... The results found that the average rainfall rate was in the range of 4 mm, the average pressure rates were 968 Pascals, the average temperature rates were 10 degrees Celsius, the average radiation rates ranged between 2999MHz and 2900MHz, and the sunspots were between 10 and 39 sunspots, and from this it can be said Rainfall rates are not directly related to the increase or decrease in the number of sunspots, as there is no clear effect of that. However, in the year 2019, it was found that the increase in the number of sunspots directly affects the rates of rainfall during the spring and fall seasons as an exception, and this was confirmed through models. Previously in the laboratory, while there was no relationship between pressure rates and the number of sunspots at all, a relative relationship was found between temperature rates and sunspots, which therefore has a direct impact on radiation rates.

Projected seasonal flooding in Canada under climate change with statistical and machine learning

Study regionCanada Study focusFloods are among the costliest and deadliest natural hazards in the world. To date, little is known about future seasonal flooding across all Canada. In this paper, data-driven models for flood occurrence (i.e., happening of a flood) and impact (i.e., displaced population) were calibrated for spring and summer seasons in 14,000 watersheds across Canada. Generalized Additive Models (GAM), Random Forests (RF) and Gradient Boosting Machines (GBM) were considered to model seasonal floods. The best-performing flood models were then used with regional climate models to assess the effect of climate change on flooding for three time horizons: historical, medium-term (∼2050) and long-term (∼2080). New hydrological insights for the regionGAM offered the best out-of-sample performance trade-off in both seasons for predicting flooding in Canada. Projections with GAM showed a general increase in summer flooding occurrence and impact in 2050 and 2080, mainly in the Yukon, western British Columbia, southern Prairies, Ontario and Quebec and some Atlantic provinces. Results for spring flooding were more mixed, but there seemed to be a slight decrease in the impact of spring flooding in the southern Prairies, particularly in 2080. The combination of statistical/machine learning and climate models have provided a more detailed and contrasted picture of the projected seasonal flooding situation over Canada that will help authorities better mitigate future flood risks.

Epidemiological characterization and risk assessment of rabbit haemorrhagic disease virus 2 (RHDV2/b/GI.2) in the world

A novel variant of rabbit haemorrhagic disease virus, designated RHDV2/b/GI.2, was first discovered in France in 2010. Subsequently, RHDV2 rapidly spread to Africa, North America, Australia, and Asia. RHDV2 outbreaks have resulted in significant economic losses in the global rabbit industry and disrupted the balance of natural ecosystems. Our study investigated the seasonal characteristics of RHDV2 outbreaks using seasonal indices. RHDV2 is prone to causing significant outbreaks within domestic and wild rabbit populations during the spring season and is more likely to induce outbreaks within wild rabbit populations during late autumn in the Southern Hemisphere. Furthermore, based on outbreak data for domestic and wild rabbits and environmental variables, our study established two MaxEnt models to explore the relationship between RHDV2 outbreaks and the environmental factors and conducted outbreak risk predictions for RHDV2 in global domestic and wild rabbit populations. Both models demonstrated good predictive performance, with AUC values of 0.960 and 0.974, respectively. Road density, isothermality, and population density were identified as important variables in the outbreak of RHDV2 in domestic rabbits, while road density, normalized difference vegetation index, and mean annual solar radiation were considered key variables in the outbreak of RHDV2 in wild rabbits. The environmental factors associated with RHDV2 outbreaks identified in our study and the outbreak risk prediction maps generated in our study will aid in the formulation of appropriate RHDV2 control measures to reduce the risk of morbidity in domestic and wild rabbits.

Метеорологические условия и их сезонное распределение в ущелье Гушары бассейна реки Варзоб (Таджикистан)

The results of monitoring meteorological conditions in the middle part of the Varzob river basin in the Gushary gorge are presented. It is shown that for the period 1946–2021, atmospheric precipitation remains almost constant and the average annual temperature is characterized by an increasing trend. The seasonal distribution of temperature and atmospheric precipitation in the Gushary gorge of the Varzob river basin is characterized by the fact that the maximum precipitation corresponds to the spring season with maximum temperature in the summer season. It has been established that the average long-term temperature in the summer season in the Gushary gorge does not exceed 25°C that is due to the protection of the gorge from the penetration of air masses by high mountain ranges. A study and comparison of evapotranspiration in the gorge for 1950 and 2021 showed that for the period of more than seventy years there have been no significant changes in evapotranspiration.

Residential greenness during pregnancy and early life and development of asthma up to 27 years of age: The Espoo Cohort Study

Previous studies have suggested that living close to green spaces has protective health effects, but potential effects on asthma are contradictory. We investigated the association between the amount of greenness in the residential area during pregnancy and early life and development of asthma in the first 27 years of life. The study population included all 2568 members of the Espoo Cohort Study, Finland. We calculated individual-level exposure to green space measured as cumulative Normalized Difference Vegetation Index (cumNDVI in unit-months) within 300 m of the participant's residence during pregnancy and the first two years of life in both spring and summer seasons. The onset of asthma was assessed using information from the baseline and follow-up surveys. Exposure to residential greenness in the spring season during pregnancy was associated with an increased risk of asthma up to 6 years of age, with an adjusted hazard ratio (aHR) of 3.72 (95% confidence interval (CI): 1.11, 12.47) per 1 unit increase in cumNDVI. Increased greenness in the summer during pregnancy associated with asthma up to 6 years, with an aHR of 1.41 (95% CI: 0.85, 2.32). The effect was found to be related to increased greenness particularly during the third trimester of pregnancy, with an aHR of 2.37 (95% CI: 1.36, 4.14) per 1 unit increase of cumNDVI. These associations were weaker at the ages of 12 and 27 years. No association was found between NDVI in the first two years of life and the development of asthma. Our findings provide novel evidence that exposure to greenness during pregnancy increases the risk of developing asthma. The adverse effects were strongest for the prenatal greenness in the spring season and in the third trimester of pregnancy. Both the season and trimester of exposure to greenness are critical in the development of asthma.

A spatial approach to assessing PM2.5 exposure level of a brickmaking community in South Africa

ABSTRACT Globally, particulate matter with an aerodynamic diameter of 2.5 µm or less poses a significant threat to human health. The first step in quantifying human health impacts caused by exposure to PM2.5 pollution is exposure assessment. Population-weighted exposure level (PWEL) estimation is one of the methods that provides a more precise exposure assessment since it incorporates the spatiotemporal distribution of population with the pollution concentration estimate. In this study, PM2.5 exposure levels in the local communities around brickmaking industries were investigated, using the population census data of the study area and 1-year data from nine PM2.5 monitoring stations installed in and around the brickmaking industries. The observed PM2.5 data was spatially interpolated using inverse distance weight (IDW). Data on PM2.5 levels across the study area were classified based on the World Health Organization interim target (IT) guidelines and the South African National ambient air quality standard (NAAQS). An annual PM2.5 population weighted exposure level of 27.6 µg/m3 was estimated for the study area. However, seasonal exposure levels of 28.9, 37.6, 26.5, and 20.7 µg/m3 were estimated for the autumn, winter, spring, and summer seasons, respectively. This implies that local communities around the brick kiln in the Vhembe District are exposed to high levels of PM2.5, especially in winter. The PM2.5 levels in the brickmaking industries as well as its other sources in the Vhembe District, therefore, need to be lowered. Findings from population exposure level to pollutants can provide valuable data for formulating policies and recommendations on exposure reduction and public health protection. Implications: PM2.5 concentration in any given environment has high spatial and temporal variability due to the presence of diffused sources in the environment. Using ambient air concentrations to directly estimate population exposure without taking into consideration the disproportionate spatial and temporal distribution of the pollutant and the population may not yield accurate results on human exposure levels. It is, therefore, important to assess the aggregated PM2.5 exposure of a populace within a given area. This study therefore examines the PM2.5 population-weighted-exposure level of the host communities of the brickmaking industry in Vhembe District, South Africa.

Extreme springs in Switzerland since 1763 in climate and phenological indices

Abstract. Historical sources report manifold on hazardous past climate and weather events that had considerable impacts on society. Studying changes in the occurrence or mechanisms behind such events is, however, hampered by a lack of spatially and temporally complete weather data. In particular, the spring season has received less attention in comparison to summer and winter but is nevertheless relevant, since weather conditions in spring can delay vegetation and create substantial damage due to late-frost events. For Switzerland, we created a daily high-resolution (1 × 1 km2) reconstruction of temperature and precipitation fields from 1763 to 1960 that forms, together with present-day meteorological fields, a 258-year-long gridded data set. With this data set, we study changes in long-term climate and historical weather events based on climate and phenological indices focusing on the spring season. Climate and phenological indices show few changes in the mean during the first 200 years compared to the most recent period from 1991 to 2020, where climate change signals clearly emerged in many indices. We evaluate the climate and phenological indices for three cases of extreme spring weather conditions: an unusually warm spring, two late-frost events, and three cold springs. Warm springs are much more frequent in the 21st century, but a very warm and early spring also occurred in 1862. Spring temperatures, however, do not agree on how anomalously warm the spring was when comparing the Swiss temperature reconstruction with reanalyses that extend back to 1868. The three springs of 1785, 1837, and 1853 were particularly cold, with historical sources reporting, for example, prolonged lake freezing and abundant snowfall. Whereas the springs of 1837 and 1853 were characterized by cold and wet conditions, in the spring of 1785 wet days were below average, and frost days reached an all-time maximum, in particular in the Swiss Plateau, indicating inversion conditions. Such conditions are in line with a high occurrence of northeasterly and high-pressure weather types and historical sources describing Bise conditions, a regional wind in the Alpine area related to inversions. Studying such historical events is valuable, since similar atmospheric conditions can lead to cold springs affecting vegetation growth and agricultural production.

Mapping proglacial headwater streams in High Mountain Asia using PlanetScope imagery

Headwater streams transport nutrients, sediment, and mineral-rich groundwater downstream. In High Mountain Asia (HMA), headwater streams also funnel glacier and snow melt to sustain continuous water supply for the downstream region. These channels remain poorly mapped because of their inaccessibility and because they are smaller than the resolution of Landsat (30 m) and Sentinel-2 (10 m). In this study, we assessed the ability of 3 m resolution PlanetScope imagery to detect the proglacial headwaters downstream of all high-altitude glaciers larger than 5 km2 in HMA. We created 3000 manually labeled image tiles to train and evaluate computer vision (CV) against techniques common in the hydrologic remote sensing literature, specifically normalized difference water index (NDWI) thresholding and random forests (RF). Results indicate that CV best detects the headwater streams with >0.60 F1-scores, nearly 0.20 points higher than RF and 0.45 points higher than thresholding. We also assessed how errors in CV propagate to derived hydrologic information, exemplified by the biogeochemically critical measurement of stream surface area. We found that CV classifications produced surface areas with 0.98 R2, 0.01 km2 MAE, and 0.02 km2 RMSE against manually labeled surface areas. We also observed the best CV performance during the spring season with 30% more skillful classification performance than in summer and fall. Our results prove the ability of PlanetScope imagery to detect and map headwater streams accurately and at scale, and that classification errors stemming from the imagery or the CV methods do not greatly impair our ability to quantify stream surface area meaningful for biogeochemical exchange and hydrology studies.

Interactions between aerosols and surface ozone in arid and semi-arid regions of China.

Atmospheric aerosols affect surface ozone concentrations by influencing radiation, but the mechanism and dominant factors are unclear. Therefore, this paper analyses the changes in aerosol-radiative-surface ozone in China's arid and semi-arid regions with the help of the Atmospheric Radiative Transfer (SBDART) model. The results suggest that Aerosol Optical Depth (AOD) and coarse Particulate Matter (PM10) have the same trend, with high values in spring and winter and low values in summer and autumn. Surface ozone is high in spring and summer and low in autumn and winter. Surface ozone is higher in spring and summer and lower in autumn and winter. In winter, mainly secondary pollutants are dominated by high pollution levels. In the rest of the seasons, a mixture of dust, motor vehicle exhaust, and soot is dominated by low pollution levels. Surface ozone is positively correlated with fine particles and negatively correlated with coarse particles. Temperature is positively correlated with surface ozone in all seasons and negatively correlated with PM10 in summer, autumn, and winter. Precipitation negatively correlates with PM10 each season and surface ozone in winter and spring. Analysis of surface ozone and PM10 sources in the more polluted city of Hohhot based on the back-line trajectory model showed that airflow trajectories mainly transported surface ozone and PM10 pollution from northwestern Inner Mongolia and western Mongolia. During dusty solid weather, the decrease in radiation reaching the Earth's surface and the cooling effect of aerosols lead to lower temperatures, which slows down the rate of chemical reactions of precursors of surface ozone, resulting in lower ozone concentrations at the surface. This study can provide a theoretical reference for aerosol and surface ozone control in arid and semi-arid areas of China.

Seasonal field study on thermal comfort in university classrooms in Mediterranean climate

The assessment of indoor environmental conditions of educational buildings is not only essential to ensure the correct performance of heating, cooling and ventilation systems but it is also fundamental to guarantee a suitable environment. This study aims to analyse the thermal comfort of students in teaching–learning spaces in university buildings with natural ventilation. A field measurement campaign and a questionnaire survey were carried out from September 2021 to June 2022 in educational buildings in southern Spain. The collected data were analysed and the neutral temperature in each season was obtained, based on the thermal sensation votes of 1966. The neutral temperatures found in this study were 23.5°C, 23.1°C, 23.3°C and 23.9°C, for autumn, winter, spring and summer, respectively. The ranges obtained for 90% acceptability in the winter season (21.1°C–25.1°C) provided lower temperature limits than the ranges obtained in the summer months (22.6°C–25.3°C). The highest values for clothing insulation were found in the autumn (0.90 clo) and winter (0.75 clo) seasons, compared to the spring (0.5 clo) and summer (0.4 clo) seasons. An adaptive thermal comfort model was applied. These findings could be used to improve thermal comfort and to optimise energy consumption according to the students’ actual thermal perception.

Salicylic Acid Alleviates the Adverse of Salinity Stress in Fenugreek (Trigonella foenum-graecum)

Aims: To discover the resistance of the Yemeni genotype of fenugreek to salt stress and the impact of salicylic acid on alleviating salt stress. Study Design: The experimental design adopted a completely randomized block design (RCBD), with pots filled with a 1:2 mixture of sand and soil serving as the experimental units. Place and Duration of Study: in a mini greenhouse covered with white polyethylene plastic sheet at Taiz University during the spring season 2021. The average temperature ranged from 32 ℃ during the day to 29 ℃ at night. chemical analyses were performed at the pharmaceutical laboratory in Al-Saeed University. Methodology: The fenugreek genotype was subjected to varying salinity levels (0, 50, 100, 150, and 200 mM) and the impact of salicylic acid (at concentrations of 0, 0.1, and 0.5 mg/l) in alleviating salt stress effects was examined at two time points: 15 and 30 days after 2 weeks of germination. Results: Increasing salinity significantly reduced shoot and root length and exhibited slight fluctuations influenced by salinity levels above 100 mM. Salicylic acid (SA) significantly reduced shoot length but had no effect on root length. Salinity had no appreciable effect on shoot dry matter (SDM%), while the application of SA significantly decreased it. Root dry matter percentage (RDM%) showed a notable and sharp increase with salinity. However, no appreciable changes in RDM% were observed in response to the SA application. In response to salinity, the ratio of SDM% to RDM% in treated plants decreased sharply, with the lowest ratio achieved when 0.1 SA was used for treatment. There were no significant modifications observed in the amounts of photosynthetic pigments in fenugreek leaves, including chl a, chl b and total chl. Nevertheless, using high concentration of Nacl led to a signifcantly reduced in the carotenoids and the chl. b. The protein content of fenugreek plants treated with salt was much higher than that of control plants. Also, protein levels increased with SA treatment across all NaCl concentration. Proline levels sharply increased with rising salinity, reaching a peak in approximately 22.28 ug/g DW. Application of 0.1 SA led to the highest proline level in comparison to other treatments, which was the highest level of Nacl in the second measurement time. Proline levels in plants treated with 200 Nacl and 0.1 SA were the highest, averaging roughly recorded 49.95 ug/g DW. APX significantly affected on fenugreek plants, the highest APX content was found in plants treated with 50 mM NaCl, the application of 0.1 SA produced the highest level of APX (0.373nm/g protein/minuet) in fenugreek. Catalase (CA) levels significantly decreased, but SA application did not affect CA levels. The data obtained may help in determining fenugreek cultivation areas and in managing breeding programs.

Implications of PM2.5 chemical composition in modulating microbial community dynamics during spring in Seoul

Particulate matter with an aerodynamic diameter of 2.5 μm or less (PM2.5) harbors a diverse microbial community. To assess the ecological dynamics and potential health risks associated with airborne microorganisms, it is crucial to understand the factors influencing microbial communities within PM2.5. This study investigated the influence of abiotic parameters, including air pollutants, PM2.5 chemical composition (water-soluble ions and organics), and meteorological variables, on microbial communities in PM2.5 samples collected in Seoul during the spring season. Results revealed a significant correlation between air pollutants and water-soluble ions of PM2.5 with microbial α-diversity indices. Additionally, air pollutants exerted a dominant effect on the microbial community structure, with stronger correlations observed for fungi than bacteria, whereas meteorological variables including temperature, pressure, wind speed, and humidity exerted a limited influence on fungal α-diversity. Furthermore, the results revealed specific water-soluble ions, such as SO42−, NO3−, and NH4+, as important factors influencing fungal α-diversity, whereas K+ negatively correlated with both microbial α-diversity. Moreover, PM2.5 microbial diversity was affected by organic compounds within PM2.5, with fatty acids exhibited a positive correlation with fungal diversity, while dicarboxylic acids exhibited a negative correlation with it. Furthermore, network analysis revealed direct links between air pollutants and dominant bacterial and fungal genera. The air pollutants exhibited a strong correlation with bacterial genera, such as Arthrospira and Clostridium, and fungal genera, including Aureobasidium and Cladosporium. These results will contribute to our understanding of the ecological dynamics of airborne microorganisms and provide insights into the potential risks associated with PM2.5 exposure.

Enhancement of solar panel power generation performance with a passive sun tracking system

In this paper, a solar tracking device that can continuously track the sun by adjusting the direction and angle of the solar panel in real time is designed and fabricated to improve the power generation efficiency of the solar cell panel. The mechanical parts as well as the automatic control part of the passive sun-tracking system are described, and the efficiency enhancement with the sun-tracking solar panel is characterized in comparison with the fixed panel system. The test results show that in the spring season in Qingdao city of eastern China, the sun-tracking system can improve the solar cell power generation efficiency by 28.5%–42.9% when comparing to the direction and elevation angle fixed system in sunny days. Even in partly cloudy days, the PV power output can increased by 37% with using the passive sun-tracking system. Economic analysis results show the cost-benefit period is about 10 years, which indicates that the passive sun tracking device can substantially contribute to the solar energy harvest practices.

Biological Control of Three Major Cucumber and Pepper Pests: Whiteflies, Thrips, and Spider Mites, in High Plastic Tunnels Using Two Local Phytoseiid Mites.

To enhance food security, food safety, and environmental health, a bio-based integrated pest management (BIPM) strategy was evaluated at two coastal locations in Lebanon as an alternative to toxic pesticide sprays in commercial high-arched plastic tunnels common in many countries. The evaluation occurred during two cucumber and pepper cropping seasons: spring and fall. At each site, two commercial tunnels were used; farmers' conventional practices were applied in one tunnel, while the BIPM approach was followed in the second tunnel. In the farmers' practices, a total of 14 sprays of insecticide/acaricide mixtures were applied during the spring growing season, and 6 sprays were applied during the fall. In the BIPM tunnels, hotspot releases of local strains of Amblyseius swirskii and Phytoseiulus persimilis were applied. By the end of the spring season, the number of whitefly nymphs (WFNs)/leaf and thrips/leaf in the pesticide treatment were 4.8 and 0.06, respectively, compared to 0.1 and 0.33, respectively, in the BIPM treatment. Similarly, at the end of the fall season, the WFNs reached 19.7/leaf in the pesticide control as compared to 1.2/leaf in the BIPM treatment, proving the efficacy of A. swirskii. Farmers using conventional acaricides during both cropping seasons failed to control Tetranychus urticae, the two-spotted spider mite (TSSM). However, hotspot releases of P. persimilis were successful in controlling TSSM. By the end of June, the number of TSSMs reached 7.8/leaf in the BIPM treatment compared to 53/leaf in the pesticide treatment. Likewise, in December, TSSM numbers reached 9/leaf in the BIPM treatment compared to 40/leaf in the pesticide treatment. Preliminary observations of pepper showed that both predatory mites (A. swirskii and P. persimilis) gave similar or better efficacy against the three pests. The two local predatory phytoseiid mites seem to be effective in controlling these three major pests and to be adapted to local environmental conditions. A rate of increase of 0.86 was observed for P. persimilis and 0.22 for A. swirskii, in June, when maximum temperatures were close to 40 °C. This also shows a compatibility between the two predators. In conclusion, our BIPM approach was efficient under a Mediterranean climate in arched plastic tunnels with relatively poor aeration.

Seasonal variation of semen quality among the three genotypes of native chicken

The study, conducted at the Bangladesh Livestock Research Institute, aimed to assess semen quality and characteristics in three types of indigenous cocks and explore seasonal variations. Ninety bird samples from three genotypes, namely non-descript Deshi (ND), Hilly (HI), and Naked Neck (NN), were used in this research. A total of 548 semen samples were collected to evaluate the color, volume, consistency, and transparency of semen in different seasons. Semen collection was performed using an abdominal massage technique, and volume was measured with a tuberculin syringe. For determining microscopic physical and morphological characteristics, computer-assisted sperm analysis (CASA) software was used. Results showed that among three types of indigenous cocks, semen quality differed (p < 0.001) from season to season. Semen quality was comparatively good for ND in the autumn season, for HI in the summer season, and for NN in the spring season. The highest semen volume (0.318 ± 0.010 ml) was recorded in the summer season, and the lowest semen volume (0.218 ± 0.008 ml) was recorded in the spring season. Genotype had a significant (p < 0.01) effect on semen volume, and the effect of semen and genotype interaction on semen volume was non-significant (p > 0.05). The sperm concentration was higher in NN compared to ND and HI. The percentages of static, bent tail, coiled tail, DMR, distal droplet, and proximal droplet were comparatively higher in the HI and NN genotypes. The color, consistency, and volume of semen were affected by genotype and season.

Factors influencing outdoor thermal comfort in a coastal park during the transition seasons in cold regions of China

Coastal outdoor spaces serve as public venues where individuals engage in water-related activities, admire scenic views, embark on tourist excursions, and partake in social gatherings. Enhancing thermal comfort is a crucial prerequisite for increasing the attractiveness of these spaces. This study investigated the outdoor thermal comfort (OTC) in a coastal park called Xinghai Park located in a cold region of China over a period of five days during the spring and autumn seasons. The universal thermal climate index (UTCI) was employed to establish the thermal benchmark. Through on-site measurements and questionnaire surveys, both single-factor and multi-factor analyses were conducted to assess the microclimate and thermal perception in four representative coastal spaces, thereby identifying the thermal benchmark and factors influencing thermal perception in the Coastal Park. The findings indicated that: (1) during the transition seasons, the neutral UTCI (NUTCI) of the Coastal Park was 15.3 °C, with neutral UTCI range (NUTCIR) ranging from 9.3 °C to 21.4 °C, and there were significant variations in the thermal benchmarks among different types of spaces; (2) the primary factors influencing thermal perception during the transition seasons in the Coastal Park were physical factors (Ta, Tg, RH, Va, G), while individual, social, and psychological factors also exerted varying degrees of influence on respondents' thermal perception; (3) there were substantial spatial differences in the factors influencing respondents' thermal perception. The findings of this study provide valuable references for determining thermal environmental design strategies for transitional season coastal outdoor recreational spaces and enhancing the quality of urban life.

The seasonal variability of future evapotranspiration over China during the 21st century

The evapotranspiration (ET) plays a crucial role in shaping regional climate patterns and serves as a vital indicator of ecosystem function. However, there remains a limited understanding of the seasonal variability of future ET over China and its correlation with environmental drivers. This study evaluated the skills of 27 models from the Six Phase of Coupled Model Intercomparison Project in modeling ET and the Bayesian Model Averaging (BMA) method was employed to merge monthly simulated ET based on the top five best-performing models. The seasonal changes in ET under three climate scenarios from 2030 to 2099 were analyzed based on the BMA-merged ET, which was well validated with observed ET collected from fourteen flux sites across China. Significant increasing ET over China are projected under all seasons during 2030–2099, with 0.05–0.13 mm yr−1, 0.11–0.23 mm yr−1, and 0.20–0.41 mm yr−1 under SSP1–2.6, SSP2–4.5 and SSP5–8.5 scenarios, respectively. Relative to the historical period (1980–2014), the relative increase in ET over China is highest in winter and lowest in summer. Seasonal ET increases significantly in all seven climate sub-regions under high forcing scenario. Higher ET increase is generally found in southeastern humid regions, while lowest ET increase occurs in northwest China. At the country level, the primary factor driving ET increase during spring, summer, and autumn seasons is the increasing net radiation and warming. In contrast, ET increase during winter is influenced not only by energy factors but also by vegetation-related factors. Future seasonal ET increase is predominantly driven by increasing energy factors in the southeastern humid region and Tibetan Plateau, while seasonal ET changes in the northwest region prevailingly depend on soil moisture. Results indicate that China will experience a “wet season will get wetter, and dry season will become drier” in the 21st century with high radiation forcing scenario.

Molecular Characterization and Seasonal Variation in Expression of HSP70.1 Gene in Gangatiri Cattle and Its Comparison with Buffalo.

Under tropical climate heat stress is a major challenge for livestock production. HSP70.1 is a ubiquitously expressed protein maintaining cellular machinery through proper folding of denatured proteins and prevents cellular apoptosis and protect cell from heat stress. Therefore, present investigation was undertaken to explore genetic variability in HSP70.1 gene in Gangatiri cattle, its comparison with buffalo sequences and differential expression in different season. The allelic variant was identified by sequencing amplified PCR product of HSP70.1 gene by primer walking. Season-wise total RNA samples was prepared for differential expression study. Brilliant SYBR Green QPCR technique was used to study the expression kinetics of this gene. DNA sequencing by primer walking identified four allelic variants in Gangatiri cattle. Sequence alignment study revealed four, six and one substitutions in the 5' untranslated region (5'UTR), coding and 3' untranslated region ((3'UTR) of HSP70.1 gene, respectively. Comparative analysis of HSP70.1 gene revealed that Cattle has shorter 5'UTR and 3' UTR than the buffalo. In Gangatiri cattle, summer season has significantly higher (P ≤ 0.05) expression of HSP70.1 than the spring and winter. The relative expression of HSP70.1 was increased by more than six folds in summer and nearly 1.5 folds higher in winter in comparison to the spring season. Therefore, HSP70.1 may be considered to have a critical role in the development of thermal tolerance in Gangatiri cattle.

Seasonal Dynamics of Epigeic Arthropods under the Conditions of Ecological Management of the Triticum aestivum Crop

The policy of the European Union on land management promotes sustainable agriculture with an emphasis on the protection of biodiversity and the environment. Organic agriculture is the most appropriate alternative to ensure this common goal. The aim of this study was to determine the influence of factors such as pH, moisture, nitrogen potassium, phosphorus and grass herbaceous vegetation on the spatial structure of epigeic arthropods during the spring and summer seasons under organic farming conditions. Research took place between 2020 and 2022, and we recorded 14,988 individuals belonging to 16 taxa using pitfall traps. Between the years 2020 and 2022, we confirmed a decrease in the number of individuals and taxa of epigeic arthropods from the grass herbaceous vegetation to the interior of the field during the summer seasons. This decline was not confirmed in the spring seasons. Phosphorus, potassium, nitrogen, moisture and pH factors also had a significant influence on the spatial structure of epigeic arthropods. Our results show that the higher number of individuals and taxa at the grass herbaceous vegetation occurred only during the summer period. This fact contributes to an increase in biomass and, consequently, the yield of crops.

Effect of vermicompost application on growth and yield of lettuce (Lactuca sativa L.) under organic cultivation

Lettuce (Lactuca sativa L.) is an important and commercial vegetable crop. Organic farming is increasingly popular in Vietnam. Vermicompost, an organic fertilizer processed from red earthworm and cow manure, has a positive effect on plant growth, yield and quality of plant, and improved the soil fertility. The aim of this study was to evaluate the effects of vermicompost named BioGrow01 on the growth, yield, quality of lettuce plants and soil property under organic cultivation. A field experiment was conducted in the spring season from January to May 2022 at an organic farm at Huong An commune, Huong Tra town, Thua Thien Hue province, Central Vietnam (N16047’2660”; E107052’6904”) with five application levels (e.g. 5, 8, 10, 12 and 15 tons per one hectare) of the vermicompost of BioGrow01. Growth parameters, yield components, yield of lettuce and soil property were investigated. The results showed that the vermicompost produced from cow manure and red worm had a positive effect on the growth and yield of lettuce. Application at the level of 12 and 15 t/ha was optimal levels produced highest yield of 20.3 and 22.7 t/ha, respectively. The soils decomposed with the vermicompost were increased organic matter and improved soil physical, chemical and biological properties. As results, farmers are recommended to use the vermicompost as an organic fertilizer for organic lettuce production.