Journal articles: 'Climatic factors'

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Naqvi, Syed Ali Asad, Bulbul Jan, Saima Shaikh, Syed Jamil Hasan Kazmi, Liaqat Ali Waseem, Muhammad Nasar-u-minAllah, and Nasir Abbas. "Changing Climatic Factors Favor Dengue Transmission in Lahore, Pakistan." Environments 6, no. 6 (June 17, 2019): 71. http://dx.doi.org/10.3390/environments6060071.

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Dengue fever (DF) is a national health problem in Pakistan. It has become endemic in Lahore after its recent reemergence in 2016. This study investigates the impacts of climatic factors (temperature and rainfall) on DF transmission in the district of Lahore through statistical approaches. Initially, the climatic variability was explored using a time series analysis on climatic factors from 1970 to 2012. Furthermore, ordinary and multiple linear regression analyses were used to measure the simulating effect of climatic factors on dengue incidence from 2007 to 2012. The time series analysis revealed significant annual and monthly variability in climatic factors, which shaped a dengue-supporting environment. It also showed a positive temporal relationship between climatic factors and DF. Moreover, the regression analyses revealed a substantial monthly relationship between climatic factors and dengue incidence. The ordinary linear regression of rainfall versus dengue showed monthly R2 = 34.2%, whereas temperature versus dengue presented R2 = 38.0%. The multiple regression analysis showed a monthly significance of R2 = 44.6%. Consequently, our study shows a substantial synergism between dengue and climatic factors in Lahore. The present study could help in unveiling new ways for health prediction modeling of dengue and might be applicable in other subtropical and temperate climates.

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Razzouk, H., B. Blaive, O. Massot, D. Charpin, and D. Vervloet. "Climatic factors and climatic therapy in asthma." Revue Française d'Allergologie et d'Immunologie Clinique 38, no. 7 (January 1998): S272—S280. http://dx.doi.org/10.1016/s0335-7457(98)80112-3.

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Jedlička, Karel, Jiří Valeš, Pavel Hájek, Michal Kepka, and Martin Pitoňák. "Calculation of Agro-Climatic Factors from Global Climatic Data." Applied Sciences 11, no. 3 (January 29, 2021): 1245. http://dx.doi.org/10.3390/app11031245.

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This manuscript aims to create large-scale calculations of agro-climatic factors from global climatic data with high granularity-climatic ERA5-Land dataset from the Copernicus Climate Change Service in particular. First, we analyze existing approaches used for agro-climatic factor calculation and formulate a frame for our calculations. Then we describe the design of our methods for calculation and visualization of certain agro-climatic factors. We then run two case studies. Firstly, the case study of Kojčice validates the uncertainty of input data by in-situ sensors. Then, the case study of the Pilsen region presents certain agro-climatic factors calculated for a representative point of the area and visualizes their time-variability in graphs. Maps represent a spatial distribution of the chosen factors for the Pilsen region. The calculated agro-climatic factors are frost dates, frost-free periods, growing degree units, heat stress units, number of growing days, number of optimal growing days, dates of fall nitrogen application, precipitation, evapotranspiration, and runoff sums together as water balance and solar radiation. The algorithms are usable anywhere in the world, especially in temperate and subtropical zones.

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PAN, Jiahua, and Lei HU. "Analysis of the Factors of Climatic Productivity." Chinese Journal of Urban and Environmental Studies 06, no. 03 (September 2018): 1850015. http://dx.doi.org/10.1142/s234574811850015x.

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Though researches about productivity from the aspects of economics and ecology have covered natural factors, the most basic climatic factors therein were ignored. The eco-footprint and climate capacity have an explicit coverage of the impact of climatic factors on productivity. It can be concluded that climate is also a kind of productivity and mitigating climate change is improving productivity, after an analysis of the primary, industrial, and ecological climatic productivities defined by the decisive factors of climatic productivity. In view of the above, the study of climatic productivity needs to be further deepened in both theory and methodology.

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Loffredo, Leonor de Castro Monteiro, Rodolpho Telarolli Júnior, Walter Manso Figueiredo, Bruno Lian Sartore Segantini, Christian Wagner Maurencio, Fabiano Santos Galego, João Ramalho Borges, and Társis Eschaquetti Benevides. "Dengue Incidence and Climatic Factors." Research in Health Science 5, no. 3 (July 28, 2020): p38. http://dx.doi.org/10.22158/rhs.v5n3p38.

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Introduction: This study was carried out to analyze the temporal evolution of the incidence of dengue in Araraquara-SP, Brazil, from 2012 to 2016, correlating the incidence with temperature and pluviometry. Methods: It was a cross-sectional design. The monthly number of cases from 2012 to 2016 was collected in the datafile of the Special Health Service of Araraquara-SESA of USP. Climatic variables related to temperature and rainfall were obtained from the websites of Agritempo and Department of Water and Electric Power, respectively. Statistical planning included incidence rates, and the tendency from 2012 to 2016, and it was studied the correlation between the number of dengue cases and each one of the climatic variables, considering the time-lag concept. Results: The incidence rates were 52.68, 376.52, 737.39, 3,660 and 809.48 per 100,000 inhabitants. Significant correlations were observed between the number of dengue cases and climatic variables after 2-4 months for high temperature and after 1-4 months for rainfall. Conclusions: The city faced an epidemic of dengue in 2015. It was identified the time lag in which hot weather and rain favored the occurrence of new cases: 2 to 4 months later for high temperature, and 1 to 4 months later for rainfall.

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KUMAR, PANKAJ, DEVENDRA KUMAR, and RAJDEV PANWAR. "Evaporation estimation from climatic factors." MAUSAM 67, no. 4 (December 8, 2021): 897–902. http://dx.doi.org/10.54302/mausam.v67i4.1417.

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This study assessed the ability of two models, Local Linear Regression (LLR) and Artificial Neural Network (ANN) to estimate monthly potential evaporation from Pantagar, US Nagar (India) which falls under sub-humid and subtropical climatic zone. Observations of relative humidity, solar radiation, temperature, wind speed and evaporation have been used to train and test the developed models. A comparison was made between the estimates provided by the LLR model and ANN model. Results shown that the models were able to well learn the events they were trained to recognize. For ANN model the correlation coefficient for training period is 0.9311 and for testing period is 0.9236 and the value of root mean square error for training period is 1.070 and for testing period it is 0.9863. In case of LLR model the correlation coefficient for training period is 0.9746 and for testing period is 0.9273 and value of root mean square error for training period is 0.6121 and for testing period it is 1.5301.

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Steed, James E., and Sara A. Goeking. "Western Larch Regeneration Responds More Strongly to Site and Indirect Climate Factors Than to Direct Climate Factors." Forests 11, no. 4 (April 24, 2020): 482. http://dx.doi.org/10.3390/f11040482.

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Substantial shifts in the distribution of western larch (Larix occidentalis Nutt.) are predicted during the coming decades in response to changing climatic conditions. However, it is unclear how the interplay between direct climate effects, such as warmer, drier conditions, and indirect climate effects, such as predicted increases in fire disturbance, will impact fire-adapted species such as western larch. The objectives of this study were (1) to compare the relative importance of stand, site, and indirect versus direct climatic factors in determining western larch seedling recruitment; (2) to determine whether seedling recruitment rates have changed in recent years in response to disturbance, post-fire weather, and/or climate; and (3) to determine whether seedlings and mature trees are experiencing niche differentiation based on recent climatic shifts. We addressed these objectives using data collected from 1286 national forest inventory plots in the US states of Idaho and Montana. We used statistical models to determine the relative importance of 35 stand, site, and climatic factors for larch seedling recruitment. Our results suggest that the most important predictors of larch seedling recruitment were indicative of early-seral stand conditions, and were often associated with recent fire disturbance and cutting. Despite indications of climatic niche compression, seedling recruitment rates have increased in recent decades, likely due to increased fire disturbance, and were unrelated to post-fire weather. Compared to sites occupied by mature trees, seedling recruitment was positively associated with cooler, drier climatic conditions, and particularly with cooler summer temperatures, but these climatic factors were generally less important than biotic stand variables such as stand age, basal area, and canopy cover. These results suggest that, for fire-dependent species such as western larch, increased heat and drought stress resulting from climatic change may be offset, at least in the near term, by an increase in early-seral stand conditions resulting from increased fire disturbance, although localized range contraction may occur at warm, dry extremes.

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Zhelezina, G. F., G. S. Kulagina, A. S. Kolobkov, and P. M. Shuldeshova. "Aramid organoplastics with increased resistance to climatic factors." Voprosy Materialovedeniya, no. 3(111) (November 1, 2022): 67–78. http://dx.doi.org/10.22349/1994-6716-2022-111-3-67-78.

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The article describes the stage-by-stage development of Russian aramid fibers. The differences between the third generation of Rusar NT fibers and CBM and Ruslan fibers are described. In this work, we studied the resistance of a structural organoplastic based on the third generation of Russian aramid fibers to various climatic factors in order to justify the possibility of using the material in all climatic conditions. For structural organoplastics reinforced with aramid fibers capable of absorbing moisture, the humidity of the environment is a particularly significant factor of influence. When developing all-climatic organoplastics, the key issue is to increase the resistance to moisture absorption and ensure the stability of mechanical characteristics during water and moisture absorption. For the first time for a Russian aramid organoplastic, it has been shown that due to high moisture resistance and a high level of preservation of physical and mechanical properties after exposure to a wide range of climatic tests, organoplastic grade VKO-25 can be considered for use in aviation products operating in all climatic conditions.

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Park, Myoung, Ki Park, and Gyung Bahk. "Interrelationships between Multiple Climatic Factors and Incidence of Foodborne Diseases." International Journal of Environmental Research and Public Health 15, no. 11 (November 7, 2018): 2482. http://dx.doi.org/10.3390/ijerph15112482.

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Climatic factors can affect the incidence of foodborne diseases (FBDs). Moreover, microbial network inference is useful for predicting the interrelationships between the incidence of FBDs and climatic factors. However, the interrelationships between FBD pathogens and most climatic factors are unknown. Using principal component analysis (PCA) and partial correlation coefficient matrices (PCCMs), we determined the intra-ecosystem interrelationship network of the multiple combined effects of 5 climatic factors (temperature, relative humidity, rainfall, insolation, and cloudiness) and the monthly incidences of 12 bacterial FBDs. Many FBD pathogens are interrelated with multiple combined factors. Salmonellosis has strong positive interrelationships with Vibrio parahaemolyticus and enterohemorrhagic Escherichia coli, and the interrelationships between Staphylococcus aureus/enteropathogenic E. coli/enterotoxigenic E. coli exhibits a typical triangular pattern with the combined effects of all 5 climatic factors. Meanwhile, campylobacteriosis and Clostridium perfringens infections are negatively interrelated with insolation and cloudiness. Enteroinvasive E. coli, Bacillus cereus, Listeria spp., and Yersinia enterocolitica are significantly interrelated with any climatic factor combination. The interrelationships or higher-order interrelationships among these climatic factors play an important role in the incidence of FBDs, although the underlying mechanisms remain unclear. Our results will serve as a foundation for more sophisticated models of future FBD patterns with regard to climate change.

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Kidane, Rahwa, Thomas Wanner, Melissa Nursey-Bray, Md Masud-All-Kamal, and Gerald Atampugre. "The Role of Climatic and Non-Climatic Factors in Smallholder Farmers’ Adaptation Responses: Insights from Rural Ethiopia." Sustainability 14, no. 9 (May 9, 2022): 5715. http://dx.doi.org/10.3390/su14095715.

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This paper discusses how climatic and non-climatic factors, either separately or together, shape the adaptation responses of smallholder farmers in the Raya Azebo district of Ethiopia. Their adaptation responses included adjusting planting periods, crop diversification, changing crop types, adopting improved seeds, using irrigation, conducting migration, participation in wage employment, selling local food and drinks, and owning small shops. These adaptation responses were motivated by various climatic (e.g., drought and rainfall variability) as well as non-climatic factors (e.g., market conditions, yield-related factors, land scarcity, labor shortages, soil fertility issues, crop diseases, and limited local employment options). We therefore argue (i) that successful adaptation requires a broader understanding not just of climatic factors but also of the various social-ecological factors that shape smallholder farmers’ adaptations; and (ii) that the successful design and implementation of locally appropriate planned adaptation interventions require the inclusion of both climatic and non-climatic factors.

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Patel, Umang B., Alpesh Leua, D. J. Chuadhary, and A. P. Chaudhary. "Impact on prevalence of undernourishment with climatic and non-climatic factors." Current Advances in Agricultural Sciences(An International Journal) 15, spl (2023): 382–84. http://dx.doi.org/10.5958/2394-4471.2023.00071.0.

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Margrethe Christensen, Ellen, Jens Knud Larsen, Annette Gjerris, Linda Peacock, Marianne Jacobi, and Ellen Hassenbalch. "Climatic factors and bipolar affective disorder." Nordic Journal of Psychiatry 62, no. 1 (January 2008): 55–58. http://dx.doi.org/10.1080/08039480801970049.

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Belkin, Victor, Gregory Livshits, Itzhak Otremski, and Eugene Kobyliansky. "Aging bone score and climatic factors." American Journal of Physical Anthropology 106, no. 3 (July 1998): 349–59. http://dx.doi.org/10.1002/(sici)1096-8644(199807)106:3<349::aid-ajpa7>3.0.co;2-h.

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Tatyana ITOVA. "Climatic factors and prolonged neonatal jaundice." World Journal of Biology Pharmacy and Health Sciences 16, no. 1 (October 30, 2023): 044–51. http://dx.doi.org/10.30574/wjbphs.2023.16.1.0376.

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Prolonged neonatal jaundice (PrNJ) in full-term newborns(NB) is defined if it persists beyond the 14th day after birth. Clinical experience shows that seasons of the year influence the frequency and severity of neonatal jaundice (NJ). Objective: To establish the role of climatic factors on PrNJ expression in term neonates. Material and methods: The study was conducted at the Neonatology Department of University Hospital "Medica Ruse" with 92 full-term newborns who were with PrNJ. The follow-up of NJ was carried out with transcutaneous bilirubinometry. The NBs are residents of Ruse region, Republic of Bulgaria. Results: We found that air temperature directly affects the levels of bilirubin(BR) for the entire neonatal period and the duration of PrNJ. The amount of rainfall during the first two weeks after birth directly correlated with bilirubinemia at end of neonatal period and the duration of PrNJ. A higher level of atmospheric pressure during the early neonatal period was associated with lower BR levels at the same and a shorter duration of PrNJ. The degree of cloudiness after postnatal day 14 is inversely related to the levels of BR and the duration of the PrNJ. Sunshine during the first two weeks affects the levels of BR on the end of neonatal perod and the prolongation of PrNJ. Conclusion: According to our data climatic factors: air temperature, amount of rainfaull, atmospheric pressure, degree of cloudiness, duration of sunshine affect the degree of manifestation and duration of PrNJ.

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Lv, Guo Hong, Guang Shen Zhou, and Xiao Ying Wang. "Factors Controlling Litterfall Production of Forest in China." Advanced Materials Research 726-731 (August 2013): 4248–51. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.4248.

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Litterfall production was shown to have a significant linear relationship with NPP in both natural and planted forests (R2= 0.67, 0.30,P<0.001). Correlation of litterfall production and climatic factors was higher in natural forest than in planted forest. Through correlative and path analyses, it was found that the climatic factors that most affect litterfall production in natural forest are annual mean maximum temperature, annual mean minimum temperature, annual extreme minimum temperature, and relative humidity, but in planted forest, they are annual extreme minimum temperature and annual mean minimum temperature. In both natural and planted forests, climatic factors could not account for the error in litterfall production predicted using the NPP.

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Wang, San, Hongli Li, and Shukui Niu. "Empirical Research on Climate Warming Risks for Forest Fires: A Case Study of Grade I Forest Fire Danger Zone, Sichuan Province, China." Sustainability 13, no. 14 (July 12, 2021): 7773. http://dx.doi.org/10.3390/su13147773.

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The Sichuan province is a key area for forest and grassland fire prevention in China. Forest resources contribute significantly not only to the biological gene pool in the mid latitudes but also in reducing the concentration of greenhouse gases and slowing down global warming. To study and forecast forest fire change trends in a grade I forest fire danger zone in the Sichuan province under climate change, the dynamic impacts of meteorological factors on forest fires in different climatic regions were explored and a model between them was established by using an integral regression in this study. The results showed that the dominant factor behind the area burned was wind speed in three climatic regions, particularly in Ganzi and A’ba with plateau climates. In Ganzi and A’ba, precipitation was mainly responsible for controlling the number of forest fires while it was mainly affected by temperature in Panzhihua and Liangshan with semi-humid subtropical mountain climates. Moreover, the synergistic effect of temperature, precipitation and wind speed was responsible in basin mid-subtropical humid climates with Chengdu as the center and the influence of temperature was slightly higher. The differential forest fire response to meteorological factors was observed in different climatic regions but there was some regularity. The influence of monthly precipitation in the autumn on the area burned in each climatic region was more significant than in other seasons, which verified the hypothesis of a precipitation lag effect. Climate warming and the combined impact of warming effects may lead to more frequent and severe fires.

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Zhang, Yanru, Guan Liu, Qi Lu, Dongyang Xiong, Guoqing Li, and Sheng Du. "Understanding the Limiting Climatic Factors on the Suitable Habitat of Chinese Alfalfa." Forests 13, no. 3 (March 20, 2022): 482. http://dx.doi.org/10.3390/f13030482.

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Chinese alfalfa (Medicago sativa) is one of the most widely planted species in China. It has considerable economic potential and plays an important role in soil and water conservation. In order to conduct scientific cultivation of Chinese alfalfa, we collected 100 occurrence records from herbarium and publications and 19 climatic variables from BIOCLIM to simulate potential suitable habitat and identified the key climatic factors of Chinese alfalfa by MaxEnt and GIS software. The result shows that the MaxEnt model performed well, with an average test AUC value of 0.86 with 10-fold cross validation. The potential distribution of Chinese alfalfa is mainly in arid and semi-arid areas of north and northwest China, about 15.2% (1.46 million km2) of China’s total land area, and the highly suitable area is Loess Hilly region and Xinjiang. The main climatic factors affecting the distribution of this species is hydrological-related factors (PDM, PS, AP, PDQ and PCQ), which explained 58.6% of the variation, and the climatic factors limiting the southern, northern, northwestern and Tibetan plateau boundaries were PDM, AMT, AP and MTCM, respectively. The climatic thresholds of the core area of Chinese alfalfa are 0.0–14.0 mm of PDM, 23.8–108.2% of PS, 3.9–15.5 °C of AMT, 14.0–664.0 mm of AP, 1.0–47.0 mm of PDQ, 2.0–51.0 mm of PCQ. The results improve our understanding of limiting climatic factors for Chinese alfalfa and suggest a priority management measures for areas with corresponding limiting climatic factor.

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Zaitseva, Olga, Elena Ostroukhova, Irina Peskova, and Maria Vyugina. "SO2 binding complex of grapes and factors of its formation." E3S Web of Conferences 285 (2021): 05023. http://dx.doi.org/10.1051/e3sconf/202128505023.

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The studies of the factors of formation SO2-binding complex of white and red grape cultivars from different soil and climatic regions of the Crimea were carried out. The formation of the SO2-binding complex of grapes is associated with a combination of endogenous and exogenous factors. It was found that the most significant factors (α&0.05) in the formation of SO2-binding complex are the cultivar, soil-climatic region of growth, harvest year, and concentration of sugar. Revealed that in the case of white grape cultivars – the cultivar (α = 0.0002) and the soil-climatic region of growth (α = 0.0003) had a significant effect on the accumulation of aldehydes. In red grape cultivars the accumulation of SO2-binding components (ketoacids and aldehydes) was determined by the grape cultivar (α&0.045); α-ketoglutaric acid – soil-climatic region of growth (α = 0.014). The relationship between the mass concentrations of aldehydes and sugars in red grape cultivars has been established.

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Kumar, Ajay. "Climate Change and Sugarcane Productivity in India: An Econometric Analysis." Journal of Social and Development Sciences 5, no. 2 (June 30, 2014): 111–22. http://dx.doi.org/10.22610/jsds.v5i2.811.

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This study provides an understanding for the relationship between climatic factors and sugarcane productivity in India. The main objective of this paper is to estimates the impact of climatic and non-climatic factors on sugarcane productivity. To check the consistency of empirical results, simple linear regression model, Ricardian productivity regression (non-linear) model and Cobb-Douglas production function models are employed. The data set incorporates 390 observations corresponding to thirteen states with panel data for 30 years during 1980 to 2009. These all models include sugarcane productivity as dependent variable. Irrigated area, agriculture labour, consumption of fertilizers, literacy rate, tractors and farm harvest price (at constant level) are considered as explanatory variables. Average rainfall, average maximum and average minimum temperature include as climatic factors to capture the effect of climatic conditions on cane productivity. These climatic factors are incorporate for three weather seasons such as rainy, winter and summer. Empirical results based on Prais Winsten models with panels corrected standard errors (PCSEs) estimation shows that climatic factors i.e. actual rainfall, average maximum and average minimum temperature have a statistically significant impact on sugarcane productivity. The climatic effect for various factors on cane productivity are varies within different seasons. Average maximum temperature in summer and average minimum temperature in rainy season have a negative and statistically significant effect on sugarcane productivity. While, sugarcane productivity positively get affect with increasing average maximum temperature in rainy season and winter seasons. The study concluded that there is non-linear relationship between climatic factors and sugarcane productivity in India.

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Лаптев, А., A. Laptev, Д. Бугай, D. Bugay, Анатолий Александров, Anatoliy Aleksandrov, Валерий Ларионов, and Valeriy Larionov. "Impacts of Environmental and Biological Factors on Complex Technical Systems." Safety in Technosphere 6, no. 4 (December 18, 2017): 21–30. http://dx.doi.org/10.12737/article_5a28ffd347e557.03010714.

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The analysis of climate change in the Russian Federation has been carried out. It has been shown that the major climate change is occurring in the Arctic zone — increased emissions of carbon dioxide and methane, deep permafrost thawing. Due to the change of climatic conditions, improvement of the ecological situation and wide use of biological cleaning systems for a treatment of industrial and household effluents a change of biological systems is taking place. Natural selection of microorganisms capable to use as a nutritious substratum such previously inert materials as polyethylene and polypropylene is intensified. The change of climatic conditions in which complex technical systems are operated, and the impact of biological and ecological factors on these systems dictate the need for revision of approaches to creation, design and operation of appropriate technical means. Actions for standardization of procedure for products climatic qualification taking into account the influence of newly forming climatic, ecological and biological conditions will allow considerably reduce economic losses from corrosion, aging and biodeterioration of complex technical systems. The work has been carried out in the frame of implementation of complex research area 18 “Climatic Tests for Safety Provision and Protection from Corrosion, Aging and Biodeterioration of Materials, Constructions and Complex Technical System in Natural Environments” (“Strategic Areas for Development of Materials and Their Treatment Technologies for the Period until 2030”).

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Liu, Jintao, Shanshan Xu, Xiaole Han, Xi Chen, and Ruimin He. "A Multi-Dimensional Hydro-Climatic Similarity and Classification Framework Based on Budyko Theory for Continental-Scale Applications in China." Water 11, no. 2 (February 14, 2019): 319. http://dx.doi.org/10.3390/w11020319.

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Our knowledge of the similarities and differences in ecological systems is vital to understanding the co-evolution of ecological factors. This study proposes a multi-dimensional hydro-climatic similarity and classification framework based on Budyko theory. The framework employs the dryness index (DI), evaporative index (EI), and an empirical parameter (ω) to further sub-divide four climatic zones (humid, semi-humid, semi-arid, and arid zones) in terms of DI. A criterion that define the similarities between stations is proposed to verify the classification to obtain optimal results. This method is applied to Mainland China, and 637 stations are adopted for continental-scale classification experiments. The point cloud of the Budyko curve for all the stations in Mainland China is plotted. We find that the hydrothermal conditions of the vertically distributed stations on the Budyko curve can be quite different in the same climatic zone when DI < 4.0. The higher the vertical locations of the stations on the Budyko curve are, the drier and colder the climates and corresponding natural landscapes. Under the proposed hydro-climatic classification framework, the four climatic zones are further divided into 17 sub-regions, and the hydrothermal conditions for each sub-region are discussed. The results suggest that regional differences of long-term water balance are resulted by not only mean annual hydrothermal factors and catchment forms but also annual distribution of hydrothermal factors. Our framework can provide hydrologically-based classification across continental scale and, thus, provide a profound understanding of hydrothermal conditions of continental-scale hydrological cycles.

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Liang, Hongzhu, Tonggang Fu, Hui Gao, Min Li, and Jintong Liu. "Climatic and Non-Climatic Drivers of Plant Diversity along an Altitudinal Gradient in the Taihang Mountains of Northern China." Diversity 15, no. 1 (January 5, 2023): 66. http://dx.doi.org/10.3390/d15010066.

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Climate is critical for plant altitudinal distribution patterns. Non-climatic factors also have important effects on vegetation altitudinal distribution in mountain regions. The purpose of this study was to explore the current distribution of plant diversity along the altitudinal gradient in the Taihang Mountain range of northern China and to estimate the effects of climatic and non-climatic factors on the elevational pattern. Through a field survey, a total of 480 sampling plots were established in the central Taihang Mountain range. Alpha diversities (the Shannon–Weiner index and Simpson index) and beta diversities (the Jaccard index and Cody index) were measured based on the survey data. Plant community structure change based on the altitudinal gradient was explored by measuring the diversity indices. Canonical correspondence analysis was carried out to determine the factors influencing plant altitudinal distribution. The contributions of climatic and non-climatic factors on plant distribution were determined by partial methods. The results showed that the plant diversity of the elevational gradient complied with a “hump-shaped” pattern, in which communities in the medium altitude area with higher plant diversity had a higher species turnover rate, and non-climatic factors, particularly the anthropogenic factors, had an important influence on the plant altitudinal pattern. In conclusion, climatic and non-climatic factors both had important effects on the plant altitudinal pattern. It is strongly recommended to reduce human interference in mountain vegetation protection and management.

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Kuzhin, Marat, Ekaterina Chepik, and Angelina Baranova. "Influence of natural and climatic factors on the organization of construction." E3S Web of Conferences 164 (2020): 08006. http://dx.doi.org/10.1051/e3sconf/202016408006.

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In this research the influence of natural and climatic conditions on the organization of construction production are examined. Our purpose was to identify the nature of the dependence of the duration of construction work on natural and climatic factors. The analysis of normative and technical documentation in terms of accounting for the influence of natural and climatic factors was made. The system of estimation of influence of natural conditions on preparatory, ground, facade, roofing works, and also the appliance of monolithic structures, installation of prefabricated ferroconcrete items, and on works – implementation of internal finishing is offered. It was estimated, that the norms of construction production take into account a certain number of natural and climatic factors affecting the performance of work, but most of these factors have not yet been given in the normative and technical documentation. It is necessary to study this issue more comprehensively and to establish exact dependences on natural and climatic conditions, which will allow to quantify these factors already while calculating. This is necessary to compile more accurate calendar plans and schedules of production of works, as close as possible to real conditions. The study of this issue is one of the most important issues in the design of construction production. With insufficient consideration of these factors, the final actual figures are very different from the projected ones, which also lead to an increase in the cost of construction and installation work and the duration of their implementation. Taking into consideration the influence of natural and climatic factors will allow planning construction production more accurate.

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Shahraki, Ali Sardar, Tommaso Caloiero, and Ommolbanin Bazrafshan. "Influence of Climatic Factors on Yields of Pistachio, Mango, and Bananas in Iran." Sustainability 15, no. 11 (June 1, 2023): 8962. http://dx.doi.org/10.3390/su15118962.

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The aim of this study was to investigate the impact of climatic variables (minimum temperature, maximum temperature, average precipitation, and precipitation deviation) on the yields of pistachio, banana, and mango in cold, hot–arid, hot–humid, and temperate–humid climates using the Just–Pope function. The Just–Pope function is a relatively new approach in this context. The most effective variables were identified by stepwise regression and the Feiverson algorithm. Data were collected for the period of 1998–2020 and were tested for stationarity. Finally, the coefficients of the Just–Pope function were estimated for the three crops in the four climates. The results showed that the variables affecting pistachio yield were different in each type of climate. Most variables were effective in warm and dry areas, while cropping area, production trend, and lag were effective in cold regions and in hot and humid areas; the maximum deviation and minimum temperature, production lag, cropping area, and production function were significant in hot and dry regions at the 90% level. The Just–Pope function for pistachio, mango, and banana showed that the impact of temperature and average rainfall was region-specific. Based on the results, a 1% increase in rainfall can increase the banana yield up to 0.032 ton/ha. As Iran experiences extensive climatic fluctuations, horticulturists are faced with difficult conditions. Such practices as the use of cultivars that are resistant to temperature and rainfall variations in the regions in order to alleviate the risk of yield variations in orchards are recommended.

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Russell, Vanessa L., M. Henry H. Stevens, Addison A. Zeisler, and Tereza Jezkova. "Identifying regional environmental factors driving differences in climatic niche overlap in Peromyscus mice." Journal of Mammalogy 103, no. 1 (December 2, 2021): 45–56. http://dx.doi.org/10.1093/jmammal/gyab126.

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Abstract Different groups of taxa exhibit varying degree of climatic niche conservatism or divergence due to evolutionary constraints imposed on taxa and distributional relationships among them. Herein, we explore to what extent regional environmental conditions that taxa occupy affect climatic niche overlap between pairs of congeneric species of Peromyscus mice exhibiting allopatric, parapatric, or sympatric distributions. We used Bayesian generalized linear mixed models to identify environmental variables that best explain differences in climatic niche overlap between species. Our results suggest that regional environmental conditions explain 13–44% of variation in climatic niche overlap. Specifically, allopatric and parapatric species pairs are more likely to occupy similar climatic niches in areas that are topographically less complex but with more complex habitats. Sympatric species are more likely to occupy similar climatic niches in areas that promote local niche partitioning (topographically less complex, warmer winter temperatures, higher precipitation, and higher habitat complexity on a local scale). By understanding the relationship between regional environmental conditions and niche overlap, we highlight how differences in geography can contribute to shaping niches of congeneric species.

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Deng, Yun, Cunliang Cao, and Shouxue Chen. "Research on correlation analysis and prediction model of agricultural climate factors based on machine learning." MATEC Web of Conferences 336 (2021): 07016. http://dx.doi.org/10.1051/matecconf/202133607016.

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This article uses machine learning technology to analyze the correlation of climate factors that affect crop yields, and conduct prediction and comprehensive evaluation to guide agricultural production. This paper selects early rice crops in Guangxi as the research object. Based on the climatic data of early rice planting areas in Guangxi from 1990 to 2017, a cart decision tree is constructed to generate a random forest model to analyze the correlation between early rice yield and climatic factors in each growth period, and obtain the various growth periods The ranking of the importance of climatic factors on the yield, thus forming the basis for calculating the weights of the climatic factors in each growth period of early rice; based on the climatic data in Guilin, Guangxi from 2008 to April to July 2017, predicted by the long and short-term memory network Guilin's various climate data from April to July 2018.

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Zokirov, Rakhimdzhon Sharifovich, and Abdulakim Abdukaiumovich Kaiumov. "Impact of Climatic Factors on Settlement Formation." Interactive science, no. 1 (47) (January 20, 2020): 36–37. http://dx.doi.org/10.21661/r-529547.

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The article considers the influence of various natural and climate conditions of the Republic of Tajikistan on the formation of new towns and cities. The climate conditions are closely interconnected with the landscape, namely valleys, foothills, low mountains, and the highland nature of the terrain, and requires various architectural and planning adjustments.

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Carcavallo, Rodolfo U. "Climatic factors related to Chagas disease transmission." Memórias do Instituto Oswaldo Cruz 94, suppl 1 (September 1999): 367–69. http://dx.doi.org/10.1590/s0074-02761999000700071.

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Chan, M. K., C. Y. Chan, I. K. P. Cheng, and W. S. F. Ng. "Climatic Factors and Peritonitis in CAPD Patients." International Journal of Artificial Organs 12, no. 6 (June 1989): 366–68. http://dx.doi.org/10.1177/039139888901200603.

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From March 1983 to December 1987 the relation of the occurrence of all episodes of peritonitis in CAPD patients to climatic factors, such as temperature and relative humidity was examined. Altogether 389 episodes were recorded in 239 patients. Peritonitis due to Staphylococcus epidermidis, Gram-negative organisms and culture-negative episodes was most frequent during the hot months of the year, June to October. The occurrence of peritonitis due to Staphylococcus aureus was uniformly distributed throughout the year. Relative humidity did not seem to affect the frequency of peritonitis.

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Beine, Michel, and Christopher Parsons. "Climatic Factors as Determinants of International Migration." Scandinavian Journal of Economics 117, no. 2 (December 11, 2014): 723–67. http://dx.doi.org/10.1111/sjoe.12098.

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Kotochigov, M. "Influence of climatic factors on wood transport." Актуальные направления научных исследований XXI века: теория и практика 2, no. 5 (December 6, 2014): 162–66. http://dx.doi.org/10.12737/7087.

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Stigter, C. J. "Climatic factors and decision making in agriculture." Agricultural and Forest Meteorology 48, no. 3-4 (November 1989): 359–61. http://dx.doi.org/10.1016/0168-1923(89)90079-8.

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Lapenis, Andrei, Hugh Henry, Mathias Vuille, and James Mower. "Climatic factors controlling plant sensitivity to warming." Climatic Change 122, no. 4 (December 8, 2013): 723–34. http://dx.doi.org/10.1007/s10584-013-1010-2.

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Zuber, Mohd, Charu Khosla, and Nargis Begum Javed. "Monkeypox Outbreak: Geographical Pattern and Climatic Factors." Indian Journal of Public Health 67, no. 4 (October 2023): 682–83. http://dx.doi.org/10.4103/ijph.ijph_1451_22.

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Brown, Carissa D., and Mark Vellend. "Non-climatic constraints on upper elevational plant range expansion under climate change." Proceedings of the Royal Society B: Biological Sciences 281, no. 1794 (November 7, 2014): 20141779. http://dx.doi.org/10.1098/rspb.2014.1779.

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We are limited in our ability to predict climate-change-induced range shifts by our inadequate understanding of how non-climatic factors contribute to determining range limits along putatively climatic gradients. Here, we present a unique combination of observations and experiments demonstrating that seed predation and soil properties strongly limit regeneration beyond the upper elevational range limit of sugar maple, a tree species of major economic importance. Most strikingly, regeneration beyond the range limit occurred almost exclusively when seeds were experimentally protected from predators. Regeneration from seed was depressed on soil from beyond the range edge when this soil was transplanted to sites within the range, with indirect evidence suggesting that fungal pathogens play a role. Non-climatic factors are clearly in need of careful attention when attempting to predict the biotic consequences of climate change. At minimum, we can expect non-climatic factors to create substantial time lags between the creation of more favourable climatic conditions and range expansion.

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Peterson, David W., David L. Peterson, and Gregory J. Ettl. "Growth responses of subalpine fir to climatic variability in the Pacific Northwest." Canadian Journal of Forest Research 32, no. 9 (September 1, 2002): 1503–17. http://dx.doi.org/10.1139/x02-072.

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We studied regional variation in growth-limiting factors and responses to climatic variability in subalpine forests by analyzing growth patterns for 28 tree-ring growth chronologies from subalpine fir (Abies lasiocarpa (Hook.) Nutt.) stands in the Cascade and Olympic Mountains (Washington and Oregon, U.S.A.). Factor analysis identified four distinct time series of common growth patterns; the dominant growth pattern at any site varied with annual precipitation and temperature (elevation). Throughout much of the region, growth is negatively correlated with winter precipitation and spring snowpack depth, indicating that growth is limited primarily by short growing seasons. On the driest and warmest sites, growth is negatively correlated with previous summer temperature, suggesting that low summer soil moisture limits growth. Growth patterns in two regions were sensitive to climatic variability associated with the Pacific Decadal Oscillation, apparently responding to low-frequency variation in spring snowpack and summer soil moisture (one negatively, one positively). This regional-scale analysis shows that subalpine fir growth in the Cascades and Olympics is limited by different climatic factors in different subregional climates. Climategrowth relationships are similar to those for a co-occurring species, mountain hemlock (Tsuga mertensiana (Bong.) Carrière), suggesting broad biogeographic patterns of response to climatic variability and change by subalpine forest ecosystems in the Pacific Northwest.

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Dhamira, Aura, and Herdiana Anggrasari. "Indonesian Climatic Factors and Its Effect on Cocoa Productivity." West Science Interdisciplinary Studies 2, no. 05 (May 27, 2024): 963–74. http://dx.doi.org/10.58812/wsis.v2i05.873.

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One of the important aspects in cocoa cultivation is productivity, as it is related to the ability of national cocoa producers to meet market demand. Cocoa productivity is affected by many factors, including climate factors. On this basis, this study aims to determine the trend of national cocoa productivity and climatic factors (maximum temperature, minimum temperature, mean temperature, and rainfall) and to determine the influence of climatic factors on cocoa productivity. By applying a descriptive method, this research utilized secondary data with a time span between 1961-2021, which were analyzed using quadratic regression model. From the analysis, it was clear that there had been increasing tendency for national cocoa productivity, maximum temperature, minimum temperature, mean temperature and rainfall from year to year. Meanwhile, the climatic factors that affect cocoa productivity are the maximum temperature, minimum temperature, and mean temperature with an optimum point of 30.53°C; 21.31°C and 25.87°C respectively. Temperature generally has a negative effect on cocoa productivity, although it does not have a big impact. However, continuous exposure to temperature will lead to a more harmful threat to cocoa productivity. This research contributes to the use of non-linear regression analysis, especially quadratic regression model in determining climatic factors that influence cocoa productivity in Indonesia, considering that not many studies have used similar model.

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Gyllenhaal, Eric D. "Reconciling the lithologic and paleobotanic records of climatic change during the Pennsylvanian." Paleontological Society Special Publications 6 (1992): 116. http://dx.doi.org/10.1017/s2475262200006766.

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Both lithologic and paleobotanic data have been used to construct climatic curves for the Pennsylvanian of the Appalachian Basin (Figure 1). The strengths and weaknesses of each type of evidence must be considered when reconciling these data into a composite curve. (1) The calibrated lithologic curve is based ultimately on the geographic ranges of sediments and soils relative to modern precipitation. Although it provides quantitative estimates of precipitation, the calibrated curve cannot detect minor fluctuations in climate, and time-averaging of range data can lead to an over-estimate of the rate of climatic change. (2) The geochemical model, although uncalibrated, uses essentially the same data as the calibrated curve. It avoids some of the problems of time-averaging by incorporating rough estimates of abundance. Although the long-term curve portrays a uniform climate during the earlier Pennsylvanian, lithologic data may be insensitive to climatic fluctuations in extremely wet climates. (3) The abundance of arborescent lycopods in coal may be a useful climatic indicator through much of the Pennsylvanian, but its usefulness in the Mississippian (before the evolution of non-lycopod swamp trees) and the latest Pennsylvanian (after a major extinction of arborescent lycopods) must be questioned. (4) The abundance of coal resources (as with any other climatic indicator) depends on many factors other than climate. The lack of congruence between the coal abundance curve and the other curves emphasizes the importance of including non-climatic factors in any model that predicts coal resources based on paleoclimate.The composite curve takes its overall shape from the geochemical model, quantifies it using the calibrated curve, and details climatic trends in the wet lower Pennsylvanian based on lycopod abundance data. The major weakness of the composite curve is that it ignores potential variations in seasonality of precipitation.

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Korneeva, Yana. "Risk factors for workers of shaft labour forms in the south of Russia." International Journal of Emerging Trends in Health Sciences 4, no. 1 (April 30, 2020): 19–26. http://dx.doi.org/10.18844/ijeths.v4i1.4494.

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The purpose of the study is to identify the most uncomfortable climatic, geographical, industrial and social factors in the opinion of shift workers of various professional groups in the south of the Russian Federation. The study was conducted, in which 82 employees participated, engaged in the construction of the Crimean bridge, using shift work organization. Research methods: study of documentation, observation, questionnaire, statistical methods. The most uncomfortable climatic, industrial and social factors for shift workers in the south of the Russian Federation are high temperatures, wind, solar radiation and high humidity; noise, chemical factors, enhanced monitoring of compliance with safety regulations, high labor intensity; lack of developed cultural infrastructure, lack of food, and difficulties with transport and communications. Statistically significant differences were found in assessing the discomfort of climatic, geographical, industrial and social factors as shift workers of various groups. Keywords: risk factor, south, shift method, labor psychology, climatic factors, production factors, social factors, construction of large facilities.

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Shur, P. Z., А. А. Khasanova, М. Yu Tsinker, and N. V. Zaitseva. "Methodical approaches to assessing public health risks under combined exposure to climatic factors and chemical air pollution caused by them." Health Risk Analysis, no. 2 (June 2023): 58–68. http://dx.doi.org/10.21668/health.risk/2023.2.05.

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The ongoing climate change makes its contribution to public health risks. These risks can be caused both due to direct impacts of the process and modifying influence exerted by climatic factors on chemical levels in ambient air. Given that, it is advisable to develop methodical approaches that give an opportunity to quantify public health risks under combined influence of climatic factors and chemical air pollution caused by them. In this study, we suggest methodical approaches eligible for calculating, assigning a category and assessing acceptability of public health risks under climatic exposures considering their influence on chemical air pollution. We outline approaches to establishing priority climatic factors, calculating exposure levels and associated responses; making up a list of chemicals levels of which are influenced by climatic factors and probable health outcomes caused by exposure to them; identifying levels of chemicals associated with climatic influence; calculating and assigning a category for public health risks associated with combined exposure to climatic and chemical factors using a multiple logistic regression model. We tested the approaches using data collected in Perm in 2020. As a result, we established an unacceptable health risk for working age population (1.11•10-4) due to cerebrovascular diseases (I60–I69). This risk was associated with combined exposure to climatic factors (heat waves) and associated chemical air pollution (high levels of carbon oxide). Risk levels for working age population and older age groups due to diseases of the circulatory system (ischaemic heart diseases (I20–I25) and other cardiac arrhythmias (I49)) were rated as permissible (acceptable), 7.68•10-5 and 4.07•10-5 accordingly. The contribution made by the analyzed climatic factor (heat waves) varied between 76.24 and 92.44 %; the analyzed chemical factor (carbon oxide), between 7.56 and 23.76 %.

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R.M, PADMANABHAN. "INFLUENCE OF CLIMATIC FACTORS ON UNIFORMITY IN SPRINKLER IRRIGATION." Madras Agricultural Journal 84, March (1997): 158–60. http://dx.doi.org/10.29321/maj.10.a00861.

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Field experiment was conducted to assess the influence of climatic factors over the uniformity of water distribution with sprinkler irrigation system. The influence of the climatic factors, viz, wind velocity, relative hymidity and atmospheric temperature over the uniformity coefficient was studied. Sixteen combinations of four nozzle diameters and four pressures were tried for each irrigation with ragi as test crop. It was found that wind velocity alone had high negative correlation with uniformity coefficient and the contribution of other factors was not significant.

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Barsan, Narcis, Doina Capsa, Emilian Mosnegutu, Valentin Nedeff, Ion Sandu, Alexandra Dana Chitimus, Claudia Tomozei, and Andrei Victor Sandu. "Correlations on the Air Nitrogen Oxides Pollutant Concentration and Climatic Factors Variations in Bacau City." Revista de Chimie 71, no. 2 (March 3, 2020): 358–64. http://dx.doi.org/10.37358/rc.20.2.7937.

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Considering the air pollution actual issues, in special for the industrial cities, in the present paper were established some correlations between NOx concentration and some climatic factors. The data were obtained from Bacau air quality monitoring stations and are related to 2011. The climatic factors analyzed were air temperature, atmospheric pressure, atmospheric humidity, solar radiation, wind speed and direction. The data interpretations reveal some direct influence of the air NOx concentration dispersion and analyzed climatic factors variation.

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Bonetti, Maria Fernanda, and John J. Wiens. "Evolution of climatic niche specialization: a phylogenetic analysis in amphibians." Proceedings of the Royal Society B: Biological Sciences 281, no. 1795 (November 22, 2014): 20133229. http://dx.doi.org/10.1098/rspb.2013.3229.

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The evolution of climatic niche specialization has important implications for many topics in ecology, evolution and conservation. The climatic niche reflects the set of temperature and precipitation conditions where a species can occur. Thus, specialization to a limited set of climatic conditions can be important for understanding patterns of biogeography, species richness, community structure, allopatric speciation, spread of invasive species and responses to climate change. Nevertheless, the factors that determine climatic niche width (level of specialization) remain poorly explored. Here, we test whether species that occur in more extreme climates are more highly specialized for those conditions, and whether there are trade-offs between niche widths on different climatic niche axes (e.g. do species that tolerate a broad range of temperatures tolerate only a limited range of precipitation regimes?). We test these hypotheses in amphibians, using phylogenetic comparative methods and global-scale datasets, including 2712 species with both climatic and phylogenetic data. Our results do not support either hypothesis. Rather than finding narrower niches in more extreme environments, niches tend to be narrower on one end of a climatic gradient but wider on the other. We also find that temperature and precipitation niche breadths are positively related, rather than showing trade-offs. Finally, our results suggest that most amphibian species occur in relatively warm and dry environments and have relatively narrow climatic niche widths on both of these axes. Thus, they may be especially imperilled by anthropogenic climate change.

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Yin, Li He, Guan Ccai Hou, Jin Ting Huang, Jia Qiu Dong, Jing Zhang, Hong Bo Li, and Ying Li. "Time Lag between Sap Flow and Climatic Factors in Arid Environments." Advanced Materials Research 518-523 (May 2012): 1647–51. http://dx.doi.org/10.4028/www.scientific.net/amr.518-523.1647.

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Sap flow of trees was controlled by climatic variables and a time lag presents between them. In this study, Time lag between sap flow and climatic factors was analyzed for willow in the Ordos Plateau. The result shows that sap flow velocity lags behind net radiation about 110 minutes and there is almost no time lag between net radiation and sap flow velocity.

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Parvin, Rehana. "A Statistical Investigation into the COVID-19 Outbreak Spread." Environmental Health Insights 17 (January 2023): 117863022211474. http://dx.doi.org/10.1177/11786302221147455.

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Objective: Coronavirus-19 (COVID-19) outbreaks have been reported in a range of climates worldwide, including Bangladesh. There is less evidence of a link between the COVID-19 pandemic and climatic variables. This research article’s purpose is to examine the relationship between COVID-19 outbreaks and climatic factors in Dhaka, Bangladesh. Methods: The daily time series COVID-19 data used in this study span from May 1, 2020, to April 14, 2021, for the study area, Dhaka, Bangladesh. The Climatic factors included in this study were average temperature, particulate matter ([Formula: see text]), humidity, carbon emissions, and wind speed within the same timeframe and location. The strength and direction of the relationship between meteorological factors and COVID-19 positive cases are examined using the Spearman correlation. This study examines the asymmetric effect of climatic factors on the COVID-19 pandemic in Dhaka, Bangladesh, using the Nonlinear Autoregressive Distributed Lag (NARDL) model. Results: COVID-19 widespread has a substantial positive association with wind speed ( r = .781), temperature ( r = .599), and carbon emissions ( r = .309), whereas [Formula: see text] ( r = −.178) has a negative relationship at the 1% level of significance. Furthermore, with a 1% change in temperature, the incidence of COVID-19 increased by 1.23% in the short run and 1.53% in the long run, with the remaining variables remaining constant. Similarly, in the short-term, humidity was not significantly related to the COVID-19 pandemic. However, in the long term, it increased 1.13% because of a 1% change in humidity. The changes in PM2.5 level and wind speed are significantly associated with COVID-19 new cases after adjusting population density and the human development index.

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Liu, Da Long, Jia Ping Liu, and Liu Yang. "Building Climatic Classification in China." Advanced Materials Research 374-377 (October 2011): 365–68. http://dx.doi.org/10.4028/www.scientific.net/amr.374-377.365.

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Different climate bring about different buildings, Climate has very close relation with architecture. Building climatic classification has important direction mean for architecture design, building energy efficiency and building energy simulation. Ago, China classified building climate using temperature, relative humidity, etc.. Degree, relative humidity and clearness index were regarded as classification factors. Meteorological data of 165 stations from 1970 to 2000 is used to reclassify building climate in China. Six types of building climates which respectively is Warm, Warm & humid, Weak solar radiation & humid, Cold & dry, Cold and Sever Cold & dry was obtained, character of every climate zone was summarized.

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R.M, PADMANABHAN, and CHANDRASEKARAN D. "INFLUENCE OF CLIMATIC FACTORS OVER THE DRIFT LOSS IN SPRINKLER IRRIGATION." Madras Agricultural Journal 83, Augest (1996): 496–98. http://dx.doi.org/10.29321/maj.10.a01040.

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A field experiment was conducted to assess the effect of climatic factors viz., wind velocity, relative humidity and atmospheric temperature over the drift loss under sprinkler irrigation. The influence of climatic factors, Sixteen combinations of four sprinkler nozzle diameters and four pressures were studied for each irrigation with ragi as test crop. It was found that only wind velocity had consistant, positive and significant influence on the drift loss.

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Zhang, M., and Y. Lin. "THE RELATIVE IMPORTANCE OF THREE SPECIFIC CLIMATIC FACTORS ON NORTH AMERICAN BREEDING BIRD SPECIES RICHNESS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 14, 2017): 1455–59. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-1455-2017.

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Understanding of the relationships between bird species and environment facilitates protecting avian biodiversity and maintaining nature sustaining. However, the effects of many climatic factors on bird richness have not been fully grasped. To fill this gap, this study investigated the relationships between the richness of three typical North American breeding bird species and three climatic factors at the monthly scale. Based on the North American Breeding Bird Survey (BBS) data during 1967&ndash;2014, the relationships between the numbers of Carolina wren, Cerulean warbler, and Red-bellied woodpecker and the three climatic factors of precipitation, vapor pressure, and potential evapotranspiration were examined using the method of Pearson linear regression analysis. The results indicated that the three climatic factors have correlations with the richness of the breeding bird species but in different modes, e.g., strong correlations for the non-migratory species but weak correlations for the migratory species.

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Spitsov, Dmitri Vladimirovich, and Igor Kapitonovich Yazhlev. "Ways of regulatory and legal support of waste management, taking into account the negative consequences of climate change." Agrarian Scientific Journal, no. 11 (November 25, 2022): 100–104. http://dx.doi.org/10.28983/asj.y2022i11pp100-104.

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The lack of a sufficient list of hazardous climatic factors and impact indicators was revealed, taking into account the specifics of construction and demolition waste management. Directions for further study and development of probable adaptation measures are identified; lists of climatic factors and vulnerabilities to them of objects of influence; determination of boundary values of climatic indicators for the treatment of construction and demolition waste.

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Gudko, Vasiliy, Alexander Usatov, Tatiana Minkina, Nadezhda Duplii, Kirill Azarin, Tatiana V. Tatarinova, Svetlana Sushkova, Ankit Garg, and Yuri Denisenko. "Dependence of the Pea Grain Yield on Climatic Factors under Semi-Arid Conditions." Agronomy 14, no. 1 (January 4, 2024): 133. http://dx.doi.org/10.3390/agronomy14010133.

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Field peas are one of the most common crops and are grown in various climatic zones. However, the productivity of this crop can be largely limited by climatic factors. This study investigated the influence of climatic factors on pea grain yield in the semi-arid conditions of the Rostov region of Russia in 2008–2020. To quantify climatic factors, agro-climatic variables were used, such as total temperatures below the minimum temperature, the number of days with temperatures below the minimum temperature, total temperatures above the critical temperature, the number of days with temperatures above the critical temperature, and the Selyaninov hydrothermal coefficient. Agro-climatic variables were calculated using daily climatic variables, such as maximum and minimum temperatures, relative air humidity, and precipitation during pea growing season (April–June). The yield of the pea varied from 90 to 250 kg/ha. In general, the productivity of peas is negatively affected by high temperatures and low humidification level. The yield is negatively correlated with accumulative temperatures above the critical temperature and the number of days with temperatures above the critical temperature and positively correlated with the Selyaninov hydrothermal coefficient and the precipitation in all analyzed areas. The influence of the accumulative temperatures above the critical temperature is the most significant. It explains between 6.6% and 78.9% of the interannual variability of the pea yield. The increase in accumulative temperatures above the critical threshold by every 1 °C will contribute to a decrease in pea grain yield by an average of 0.150 kg/ha. The maximum temperatures in May and June (the period of flowering–grain filling) have the most negative impact on the yield. A 1 °C increase in the average maximum temperature during this period will contribute to a decrease in pea yield by an average of 19.175 kg/ha. The influence of total precipitation during the growing season explains between 12.3% and 50.0% of the variability. The 1 mm decrease in the total precipitation for the growing season will lead to a decrease in pea yields by an average of 0.736 kg/ha. The results of this study can be applied to regional yield forecasting, as well as predicting the impact of climate variability on the grain yield of pea crops in arid areas.

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Journal articles on the topic 'Climatic factors'

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