Influence Of Climatic Factors Research Articles

Satellite-Observed Hydrothermal Conditions Control the Effects of Soil and Atmospheric Drought on Peak Vegetation Growth on the Tibetan Plateau

Recent research has demonstrated that global warming significantly enhances peak vegetation growth on the Tibetan Plateau (TP), underscoring the influence of climatic factors on vegetation dynamics. Nevertheless, the effects of different drought types on peak vegetation growth remain underexplored. This study utilized satellite-derived gross primary productivity (GPP) and the normalized difference vegetation index (NDVI) to assess the impacts of soil moisture (SM) and vapor pressure deficit (VPD) on peak vegetation growth (GPPmax and NDVImax) across the TP from 2001 to 2022. Our findings indicate that NDVImax and GPPmax exhibited increasing trends in most regions, displaying similar spatial patterns, with 65.28% of pixels showing an increase in NDVImax and 72.98% in GPPmax. In contrast, the trend for SM primarily showed a decrease (80.86%), while VPD showed an increasing trend (74.75%). Through partial correlation analysis and ridge regression, we found that peak vegetation growth was significantly affected by SM or VPD in nearly 20% of the study areas, although the magnitude of these effects varied considerably. Furthermore, we revealed that hydrothermal conditions modulated the responses of peak vegetation growth to SM and VPD. In regions with annual precipitation less than 650 mm and an annual mean temperature below 10 °C, decreased SM and increased VPD generally inhibited peak vegetation growth. Conversely, in warm and humid areas, lower SM and higher VPD promoted peak vegetation growth. These findings are crucial for deepening our understanding of vegetation phenology and its future responses to climate change.

Unveiling the influence of climatic and non-climatic factors on pulse production in Bangladesh for sustainable solutions: exploring the long-run and short-run dynamics

Unveiling the influence of climatic and non-climatic factors on pulse production in Bangladesh for sustainable solutions: exploring the long-run and short-run dynamics

Selection and performance evaluation of roof materials in arid oasis cities: The advantages of white polymer materials

Selecting the appropriate roofing material is crucial for addressing the urban heat island effects. However, uncertainty remains regarding the best roofing material for improving subsurface cooling during hot summers in temperate continental arid climates. Comparative studies on different roof materials under various climatic conditions are essential to determine the most effective heat mitigation strategies for arid oasis cities. We present a conceptual model to examine the relationship between roofing materials and their thermal mitigation capabilities in arid regions during hot summers, while assessing the influence of climate factors on their cooling performance. An experiment in Urumqi evaluated the subsurface heat mitigation capabilities of four roofing materials: white polymer materials (WPM), sod (SOD), asphalt (ASP), and solar photovoltaic panels (SPP). The results showed that the WPM provided the most effective subsurface cooling. Compared with SOD, ASP, and SPP, WPM showed the lowest subsurface temperature. Notably, the subsurface temperature of the WPM was minimally affected by climatic factors and showed no correlation with solar radiation intensity, precipitation, and cloudiness (P > 0.05), highlighting its superior cooling performance. WPM roofs are recommended for heat mitigation during hot summers in arid oasis cities owing to their low maintenance costs, ecological benefits, and superior cooling performance. This study highlights the subsurface cooling capabilities of various roofing materials and their interaction with climatic factors and provides valuable insights for heat mitigation strategies in arid regions.

Unraveling the influence of essential climatic factors on the number of tones through an extensive database of languages in China

Abstract Recent research has provided supportive evidence for the role of humidity in the evolution of tones. However, there remain numerous challenges in delving deeper into the intricate relationship between the tone system and climatic factors: precisely tracking and identifying potentially relevant climate factors at appropriate temporal and spatial scales, while effectively controlling the potential interference caused by geographical proximity and language inheritance. Based on a substantial database of 1,525 language varieties in China and 41 years of monthly climate data, this study has delved into the correlation between multiple climate factors and number of tones, examined the mediating role of voice quality in this process, and further analyzed the interrelationship between climate factors and pitch variations. The findings reveal that climate factors influencing voice quality and the number of tones are diverse, with specific humidity, precipitation, and average temperature playing pivotal roles. After controlling the influence of language inheritance and geographical proximity, the chain of climate → voice quality → number of tones remains significant in China. Specifically, people living in a humid and warm environment tend to exhibit better voice quality. Meanwhile, regions with higher specific humidity and precipitation tend to have a richer and more diverse range of tone types. These findings enrich the theoretical framework of the interaction between language and the environment and provide robust empirical support for understanding the natural mechanisms of language evolution.

The influence of climatic factors on the effect of growth regulators in agrocenoses of spring barley

Relevance. In recent years, under the conditions of climate change, there has been a tendency to reduce the acreage of spring barley, reduce the quantity and quality of grain. From the point of view of ensuring the stability of gross grain harvests and ecology, it is necessary to manage the agrocenosis.Methods. The experiments were conducted in 2021–2024 agricultural years in the conditions of the Azov sea zone of the Rostov region. Objects of research: Leon spring barley variety and growth regulators “Artafit” (0.3 l/ha), “Biodux” (3 ml/ha), “Obereg” (60 ml/ha), “Trainer” (3 l/ha), “Fulvohumate” (0.4 l/ha).Results. The climatic conditions in 2024 were extreme in terms of low rainfall and high amounts of spring temperatures. The year 2023 was the most favorable from this point of view. The yield level correlates with the level of moisture in the spring period, the highest indicators were observed in 2023, and the lowest in 2024. In the current market conditions and annual price increases, unit production costs are increasing. Thus, in 2024, the cultivation of spring barley turned out to be unprofitable. Moreover, the use of biological products did not allow us to gain a plus. In 2022 and 2023, the use of the drug “Trainer” turned out to be unprofitable due to the high cost of the drug. “Biodux” and “Obereg” showed the highest profitability.

On the issue of forecasting crop yields for the purposes of adaptive landscape agriculture

Long-term monitoring (1998–2023) of the yield of clover-timothy grass stands of the first year of use was carried out in order to find patterns of influence of landscape environmental conditions on it in various agroclimatic conditions. The research was conducted within the moraine hill located at the Gubino VNIIMZ agro-testing site in the Tver region. Soil-forming rocks are two-membered deposits consisting of an upper layer composed of relatively light rocks, underlain by moraine bouldery loam. The grass stands were exploited without fertilizers in a single-cut mode on a field divided into 120 plots. Using regression analysis, the influence of landscape and soil environment factors was determined: relief, physical and agrochemical properties of soils on grass yield, as well as the dependence of the degree of this impact on climatic conditions. It was found that the yield of perennial grasses is most strongly influenced by various fractions of the granulometric composition of soils – from stones to dust (up to 16 % of its variability) and the altitude of the location (up to 38 %), since the thermal and water-air characteristics of soils and vegetation largely depend on them. Terrain characteristics such as steepness and curvature of the surface have a minor impact on grass yield (up to 12 %). The degree of influence of agro-landscape environmental factors on the growth of grasses is largely regulated by fluctuations in weather conditions. “Climate scenarios” of a specific factor – sets of weather parameters under which its effect on the production process of a crop is manifested – in the years of sowing and mowing, as a rule, do not differ fundamentally. Knowing the nature of the influence of climatic factors allows us to more accurately predict crop yields within an agricultural landscape and, thus, optimize the location of crops on the territory of a particular farm.

Assessment of the influence of climatic factors on the state of terrestrial ecosystems in the Northwestern region of Russia

The article analyzes the change of climatic conditions in the Northwest of Russia, including the characteristics of dangerous hydrometeorological events (cold and heat waves, strong winds, extreme rainfall, snowfall, ice-frost deposits, hail) and slow climatic changes (increase in the number of days with the transition of air temperature through 0°С, coastal abrasion) in connection with their negative impact on terrestrial ecosystems. It was found that the influence of meteorological and climatic factors on terrestrial ecosystems is most pronounced in the northern part of the studied region, especially on the coast of the Barents Sea. Towards the south, the values of all indicators gradually decrease, and their structure changes. In the northern part of the study area (Murmansk and Arkhangelsk oblasts, the Nenets Autonomous Okrug), phenomena associated with strong winds and intensive ice-frost deposition, which contribute to the formation of an ice crust on the Earth’s surface, prevail. As one moves away from the coast, severe frost is observed more often (Komi Republic). In the center and south of the region, heavy rainfall, severe frost, and intense heat are the most frequent, resulting in a high fire hazard. The study carried out the ranking of the subjects of the Northwestern Federal District according to the degree of intensity of this process. Comprehensive assessments of the negative impact of changing climatic conditions on terrestrial ecosystems can be used to make decisions on the development of a strategy for environmental security of the regions of the Russian Federation.

Changing climate intensifies downstream eutrophication by enhancing nitrogen availability from tropical forests

The contribution of diffuse nutrient exports from forests to downstream water bodies is significant owing to their extensive spatial distribution across watersheds. However, the intricacies of coupling mechanism between diffuse nutrient exports and meteorological factors driving downstream eutrophication remain poorly understood. Multiple methods involving field sampling, laboratory analysis, and model simulation were utilized to investigate the impact of diffuse nutrient exports from tropical forests on chlorophyll a concentration dynamic in the downstream reservoir. A strong positive correlation was observed between air temperature and chlorophyll a concentration, indicating the direct influence of climatic factors on microalgal biomass. The significant positive linear relationship was also observed between diffuse nitrate exports and chlorophyll a concentration, with a regression coefficient of 0.36 (P < 0.001), underscoring the role of nitrogen inputs in stimulating microalgal growth. The interplay between diffuse nitrate exports and meteorological factors was shown to regulate chlorophyll a concentration fluctuation. Additionally, the structural equation model revealed that increasing temperature and decreasing precipitation could elevate chlorophyll a concentration by enhancing nitrogen availability. Monte Carlo simulation results further revealed that temperature and precipitation were the most influential factors affecting chlorophyll a concentration during dry and rainy seasons, with sensitivity values of 0.94 and − 0.76, respectively. Notably, the eutrophication status was projected to deteriorate from light to moderate under diminishing precipitation conditions. These findings underscore the urgency of addressing eutrophication risks in reservoirs surrounded by tropical forests and the implementation of effective nitrate mitigation strategies is imperative, which offers theoretical guidance for the management of eutrophic water restoration within tropical rainforest regions under changing climate conditions.

Protective and Detoxifying Effects of Resveratrol on Zearalenone-Mediated Toxicity: A Review

Zearalenone (ZEA) is a mycotoxin produced by Fusarium spp. fungi and is widely found in moldy corn, wheat, barley, and other grains. ZEA is distributed to the whole body via blood circulation after metabolic transformation in animals. Through oxidative stress, immunosuppression, apoptosis, autophagy, and mitochondrial dysfunction, ZEA leads to hepatitis, neurodegenerative diseases, cancer, abortion, and stillbirth in female animals, and decreased sperm motility in male animals. In recent years, due to the influence of climate, storage facilities, and other factors, the problem of ZEA pollution in global food crops has become particularly prominent, resulting in serious problems for the animal husbandry and feed industries, and threatening human health. Resveratrol (RSV) is a natural product with therapeutic activities such as anti-inflammatory, antioxidant, and anticancer properties. RSV can alleviate ZEA-induced toxic effects by targeting signaling pathways such as NF-κB, Nrf2/Keap1, and PI3K/AKT/mTOR via attenuating oxidative damage, inflammatory response, and apoptosis, and regulating cellular autophagy. Therefore, this paper provides a review of the protective effect of RSV against ZEA-induced toxicity and its molecular mechanism, and discusses the safety and potential clinical applications of RSV in the search for natural mycotoxin detoxification agents.

The influence of climatic and anthropogenic factors on the productivity of forest stands in the ecotone of the northern treeline on the Yamal peninsula

On 12 sample plots established in the ecotone of the northern forest boundary in the Khadyta-Yakha River valley on the Yamal Peninsula, time of emergence and death, as well as productivity of about 1000 Siberian larch (Larix sibirica Ledeb.) and Siberian spruce (Picea obovata Ledeb.) trees were analyzed. Over the last 140 years, there has been a sharp increase in the stocks and annual growth of stem phytomass of woody plants within the studied ecotone. Since the 1970s, the average annual growth of phytomass has been increased by 1.2–39 times, which was facilitated by a 0.9оC increase in average June–July air temperature. However, this effect is insignificant in areas of mixed open forests subjected to periodic logging.

ANALYSIS OF THE REGULATORY AND METHODOLOGICAL APPARATUS FOR CARRYING OUT TESTS OF ARMORED TANK AND VEHICLE EQUIPMENT TO THE INFLUENCE OF EXTERNAL MECHANICAL AND CLIMATE FACTORS

In the work is carried out an analytical study of normative and methodical support of the processes of testing armored and automobile vehicles to the influence of climatic and mechanical factors. Unsolved aspects of the testing are highlighted. The advantages and disadvantages of conducting tests of military equipment and its components on the influence of external mechanical and climatic factors have been identified for national standards of Ukraine and national standards harmonized with international standards in order to form the direction of further improvement of the regulatory and methodical apparatus to increase the accuracy and reliability of equipment evaluation in operating conditions. The need to improve test methods based on increasing the accuracy and reliability of equipment evaluation during laboratory tests is substantiated. The provisions of foreign military standards, which are used in Ukraine and the world as basic – STANAG 4370, MIL-STD-810 were analyzed. Based on the analysis of these standards, which include requirements for conducting tests, methods, procedures and acceptance criteria for equipment in operational conditions, the direction and method of improving test methods is determined. Prospective directions for ensuring standardization in the process of testing are outlined, in which there is a high need to maintain a high level of reliability and efficiency of armored and automobile vehicles in operational conditions. The need to adapt standards to modern challenges and threats has been established by optimizing test methods in conditions that are as close as possible to real ones, as well as using the latest technologies to improve the processes of monitoring the state of equipment.

Spatio-temporal modeling of asthma-prone areas: Exploring the influence of urban climate factors with explainable artificial intelligence (XAI)

Urbanization's impact on climate is increasingly recognized as a significant public health challenge, particularly for respiratory conditions like asthma. Despite progress in understanding asthma, a critical gap remains regarding the interaction between urban environmental factors and asthma-prone areas. This study addresses this gap by applying innovative spatio-temporal modeling techniques with explainable artificial intelligence (XAI). Using data from 872 asthma patients in Tehran, Iran, and 19 factors affecting asthma exacerbations, including climate and air pollution, spatio-temporal modeling was conducted using XGBoost (eXtreme Gradient Boosting) algorithm optimization by the Bat algorithm (BA). Evaluation of asthma-prone area maps using receiver operating characteristic (ROC) curves revealed accuracies of 97.3 % in spring, 97.5 % in summer, 97.8 % in autumn, and 98.4 % in winter. Interpretability analysis of the XGBoost model utilizing the SHAP (Shapley Additive exPlanations) method highlighted rainfall in spring and autumn and temperature in summer and winter as having the most significant impacts on asthma. Particulate matter (PM2.5) in spring, carbon monoxide (CO) in summer, ozone (O3) in autumn, and PM10 in winter exhibited the most substantial effects among air pollution factors. This research enhances understanding of asthma dynamics in urban environments, informing targeted interventions for urban planning strategies to mitigate adverse health consequences of urbanization.

The role of rural circular migration in shaping weather risk management for smallholder farmers in India, Nepal, and Bangladesh

Circular migration, defined as migration where migrants return to their original home area, has become an increasingly important component of rural livelihoods and can significantly impact the risk management strategies of smallholder agricultural households in the face of climate change. To unpack the associations between climate change, migration decisions, and agricultural outcomes for smallholder agricultural households, we use an embedded mixed methods approach that uses quantitative data from a structured household survey from over 2,000 rural households in Nepal, India, and Bangladesh, along with qualitative data from interviews and focus group discussions. We use these data to identify the influence of socio-economic, climate, and weather factors on long (≥12 months) and short-term (<12 months) migration decisions and the impacts of migration on risk management strategies in agriculture. Our research shows that the drivers and effects of migration differ based on migration characteristics, including the length of time a family member migrates and whether the destination is domestic or international. We find that households with limited resources, such as constrained irrigation access, use short-term migration to cope with weather variability, whereas long-term migration is generally undertaken by wealthier households motivated to improve long-term economic outcomes. Considering the impacts of migration on risk management, we find that short-term migration of household members results in increased investment in agriculture, such as increasing inputs and adopting new varieties. In contrast, long-term and international migration is associated with disinvestments in agriculture, such as reduced cropped area and inputs. Our results highlight the importance of migration in shaping agricultural management practices amidst the challenges of climate change.

Impact of compound warm and wet events on dengue fever infection in South and Southeast Asian countries

BackgroundMultiple studies have reported the profound influence of various climate factors on dengue fever infection, while the effects of joint exposure to warm and wet environment, a condition favouring dengue vectors, on disease transmission were less evaluated. This study aims to investigate the impact of various compound temperature, rainfall, and relative humidity exposures on dengue fever infection in the South and Southeast Asia regions. MethodsWeekly dengue fever surveillance data from 2012 to 2020 were collected from 48 locations in four countries named Singapore (1 location), Sri Lanka (15 locations), Malaysia (9 locations), and Thailand (23 locations, with 11 locations having different study periods). The distributed lag non-linear models were built to assess the impacts of compound temperature, rainfall, and relative humidity exposures on dengue fever infection risks. ResultsA total of 1,359,993 dengue fever cases were reported with 9.33%, 24.02%, 48.73%, and 17.91% cases contributed by Singapore, Sri Lanka, Malaysia, and Thailand, respectively. Compared to non-warm-non-wet, compound warm-wet was associated with an increased dengue risk (RR:1.32, 95% CI:1.21–1.44). Compared to moderate temperature-humidity, warm-wet environment was also associated with an increase in dengue risk (RR:1.37, 95% CI:1.22–1.55). In comparison to weeks with moderate temperature-rainfall, warm-wet weeks was linked to an elevated dengue risk (RR:1.39, 95% CI:1.27–1.52), whereas cold-dry weather would significantly reduce the infection risk (RR:0.70, 95% CI:0.62–0.80). Modification effects showed that the hot effect on dengue infection was more pronounced under higher humidity, while the impact of rainfall increased with warmer temperature. ConclusionWarm-wet events were associated with an increased dengue fever risk, while the infection risk would decline in cold-dry environment, and modification effects exist among exposures. Findings from this study highlight the importance of considering joint temperature, humidity, and rainfall dependency of dengue fever infection in disease prevention and control.

Assessment of the Influence of Climatic Factors on the Incidence of Crimean Hemorrhagic Fever: a Comprehensive Analysis of Data for Russia, Kazakhstan, Turkey and Iran between 1999 and 2022

Assessment of the Influence of Climatic Factors on the Incidence of Crimean Hemorrhagic Fever: a Comprehensive Analysis of Data for Russia, Kazakhstan, Turkey and Iran between 1999 and 2022

Modeling spatiotemporal distribution of yellow rust wheat pathogen using machine learning algorithms: Insights from environmental assessment

The yellow rust pathogen (Puccinia striiformis Westend) poses a significant threat to wheat production in the world, necessitating a comprehensive understanding of its spatiotemporal distribution and the influence of climatic factors. In this study, we employed an ensemble of four prominent machine learning algorithms to assess the impact of various environmental and remote sensing variables on the spread of yellow rust at a national scale. Our analysis incorporated 55 climatic parameters, including monthly temperature, precipitation, solar radiation, and wind speed. The results demonstrated that the RF algorithm yielded robust predictions, with a Receiver Operator Characteristic (ROC) of 0.916 and True Skill Statistic (TSS) of 0.748. Furthermore, the study identified key influencing variables for wheat disease modeling, such as annual precipitation, temperature seasonality, and isothermality. Projections based on the model indicate a potential decrease in disease spread by 2050 in specific regions. The findings underscore the efficacy of ensemble modeling in predicting the spatiotemporal distribution of yellow rust on a large scale, offering valuable insights for the development of robust agricultural management strategies in the face of evolving climate conditions.

EFFECTS OF THE CLIMATE GRADIENT ONF THE WOOD DENSITY OF Cedrela odorata L. IN THE NEOTROPICAL REGION

Understanding wood properties is crucial for optimizing its technological potential, enhancing both the effectiveness of use and product quality. Among these properties, density is regarded as one of the most significant. Numerous studies have documented the relationship between wood density and climate. However, the influence of climatic factors on the density variation of native species remains largely unexplored. Cedrela odorata L., a species traditionally logged in Brazil and widely distributed across the Neotropical region, requires further analysis to understand its potential response to varying climate patterns, thereby informing its management. This study aimed to determine the relationship between the basic density of Cedrela odorata L. and the climatic conditions in the Neotropical region. A comprehensive database was compiled from published scientific literature. Statistical analyses were conducted using Generalized Linear Models (GLM), with the best models selected based on the corrected Akaike Information Criterion (AICc). The presence of spatial patterns was assessed using Moran’s Index to verify spatial autocorrelation. The study identified significant relationships between the wood density of C. odorata and variables such as mean annual temperature and annual precipitation. The findings indicate a strong interaction between the climatic variables analyzed and the basic density of Cedrela odorata L. wood, with density being more sensitive to mean annual temperature.

Temperature and relative humidity mediated life processes of Spodoptera species (Lepidoptera: Noctuidae)

AbstractAnthropogenic-mediated climate change is expected to negatively affect pest management in agriculture. Hence, we investigated the oviposition, immature mortality, and developmental processes of Spodoptera species (Spodoptera exigua (Hübner) and Spodoptera litura (Fabricius)) under different temperatures (20, 25, and 30°C) and relative humidity (RH) (30–35, 50–55, 70–75, and 90–95%) conditions. For fecundity, mouths of each Spodoptera species were released into a rectangular box whose inner walls were covered with a sheet of white paper for each combination of temperature and RH. The mouths were kept inside the box to deposit eggs for 72 h. Temperature and RH significantly affected the fecundity, with the maximum number of eggs laid in 70–75% at 30°C. The highest egg and larval mortalities were recorded in 30–35 and 90–95% RH, respectively. Temperature and RH greatly affected the developmental period (egg–adult) and adult emergence rate. The rapid development was recorded in 70–75% RH at 30°C. Higher number of adults was found with an increase in temperature and RH. Adult longevity was significantly higher in 70–75% RH at 20°C. Based on the present study's findings, temperature and RH had an individual apparent effect on the developmental processes of Spodoptera species instead of an interactive effect. Therefore, there is need for an in-depth study of the influence of several climatic factors, including CO2, on the developmental modality and demographic changes of Spodoptera species to assess the impacts of climatic components and the sustainable development of management strategies.

Quantifying the Influence of Climatic and Anthropogenic Factors on Multi-Scalar Streamflow Variation of Jialing River, China

Clarifying the impact of driving forces on multi-temporal-scale (annual, quarterly and monthly) runoff changes is of great significance for watershed water resource planning. Based on monthly runoff data and meteorological data of the Jialing River (JLR) during 1982–2020, the Mann–Kendall tendency testing approach was first applied to analyze variation tendencies of multi-timescale runoff. Then, abrupt variation years of runoff were determined using Pettitt and cumulative anomaly mutation testing approaches. The ABCD model was employed for simulating hydrological change processes in the base period and variation period. Finally, influences of climatic and anthropic factors on multi-scalar runoff were computed using the multi-scalar Budyko formula. The following conclusions were drawn in this study: (1) The mutation year of discharge was 1993; (2) the monthly runoff in the JLR presented a “single peak” distribution, and the concentration degree and concentration period in the JLR both showed an insignificant reduction trend; (3) anthropic factors were the dominant factor for spring runoff variations; climatic factors were the dominant factor on annual, summer, fall and winter runoff variations; (4) except for November, climatic factors were the dominant factor causing runoff changes in the other 11 months. This study has important reference value for water resource allocation and flood control decisions in the JLR.

The Influence of Climatic, Geological and Hydrodynamic Factors on Slope Stability at Kekem in the West Region of Cameroon

This study focuses on the influence of climatic, geological and hydrodynamic factors on slope stability of Kekem located in the Western Highlands of Cameroon. The methodological approach was based on the analysis of three factors: hydrological, geological and assessment of the hydrodynamic parameters influencing the stability of slopes. The hydrological factors indicate an average annual rainfall of 1,763.04 mm, generating 248.59 mm of runoff and around 402.61 mm of infiltrated water. Geologically, the soils have a high angle of friction at all three elevations, from 25.8° at the bottom of the slope to 27.2° at mid-slope and 26.2° at the top. On the other hand, the cohesion of these soils remains low, varying from 0.325 bar at the bottom of the slope to 0.265 bar at the top and 0.225 bar at mid-slope. Permeability analysis yielded values ranging from 1 x 10-9 to 1 x 10-11 m/s, with an overall porosity of around 55%. These conditions, combined with the morphology of the environment, are the main causes of slope instability in the Kekem district.