 Subjects -> METEOROLOGY (Total: 106 journals)
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- Determinants of body core temperatures at fatigue in rats subjected to
incremental-speed exercise: The prominent roles of ambient temperature,
distance traveled, initial core temperature, and measurement site-
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Abstract: Abstract Understanding the factors that underlie the physical exercise-induced increase in body core temperature (TCORE) is essential to developing strategies to counteract hyperthermic fatigue and reduce the risk of exertional heatstroke. This study analyzed the contribution of six factors to TCORE attained at fatigue in Wistar rats (n = 218) subjected to incremental-speed treadmill running: ambient temperature (TAMB), distance traveled, initial TCORE, body mass, measurement site, and heat loss index (HLI). First, we ran hierarchical multiple linear regression analyses with data from different studies conducted in our laboratory (n = 353 recordings). We observed that TAMB, distance traveled, initial TCORE, and measurement site were the variables with predictive power. Next, regression analyses were conducted with data for each of the following TCORE indices: abdominal (TABD), brain cortex (TBRAIN), or colonic (TCOL) temperature. Our findings indicated that TAMB, distance traveled (i.e., an exercise performance-related variable), initial TCORE, and HLI predicted the three TCORE indices at fatigue. Most intriguingly, HLI was inversely related to TABD and TBRAIN but positively associated with TCOL. Lastly, we compared the temperature values at fatigue among these TCORE indices, and the following descendent order was noticed – TCOL, TABD, and TBRAIN – irrespective of TAMB where experiments were conducted. In conclusion, TCORE in rats exercised to fatigue depends primarily on environmental conditions, performance, pre-exercise TCORE, and measurement site. Moreover, the influence of cutaneous heat loss on TCOL is qualitatively different from the influence on TABD and TBRAIN, and the temperature values at fatigue are not homogenous within the body core.
PubDate: 2023-03-19
- Changes in the temperature-mortality relationship in France: Limited
evidence of adaptation to a new climate-
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Abstract: Context Documenting trends in the health impacts of ambient temperature is key to supporting adaptation strategies to climate change. This paper explores changes in the temperature-related mortality in 18 French urban centers between 1970 and 2015. Method A multicentric time-series design with time-varying distributed lag nonlinear models was adopted to model the shape of the relationship and assess temporal changes in risks and impacts. Results The general shape of the temperature-mortality relationship did not change over time, except for an increasing risk at very low percentiles and a decreasing risk at very high percentiles. The relative risk at the 99.9th percentile compared to the 50th percentile of the 1970–2015 temperature distribution decreased from 2.33 [95% confidence interval (CI): 1.95:2.79] in 1975 to 1.33 [95% CI: 1.14:1.55] in 2015. Between 1970 and 2015, 302,456 [95% CI: 292,723:311,392] deaths were attributable to non-optimal temperatures, corresponding to 5.5% [95% CI: 5.3:5.6] of total mortality. This burden decreased progressively, representing 7.2% [95% CI: 6.7:7.7] of total mortality in the 1970s to 3.4% [95% CI: 3.2:3.6] in the 2000s. However, the contribution of hot temperatures to this burden (higher than the 90th percentile) increased. Discussion Despite the decreasing relative risk, the fraction of mortality attributable to extreme heat increased between 1970 and 2015, thus highlighting the need for proactive adaptation.
PubDate: 2023-03-17
- Effects of temperature, relative humidity, and illumination on the
entomological parameters of Aedes albopictus: an experimental study-
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Abstract: Abstract Aedes albopictus (Diptera: Culicidae) is a mosquito from Asia that can transmit a variety of diseases. This paper aimed to explore the effects of temperature, relative humidity, and illumination on the entomological parameters related to the population growth of Aedes albopictus, and provide specific parameters for developing dynamic models of mosquito-borne infectious disease. We used artificial simulation lab experiments, and set 27 different meteorological conditions to observe and record mosquito’s hatching time, emergence time, longevity of adult females, and oviposition amount. We then applied generalized additive model (GAM) and polynomial regression to formulate the effects of temperature, relative humidity, and illumination on the biological characteristics of Aedes albopictus. Our results showed that hatchability closely related to temperature and illumination. The immature stage and the survival time of adult female mosquitoes were associated with temperature and relative humidity. The oviposition rate related to temperature, relative humidity, and illumination. Under the control of relative humidity and illumination, ecological characteristics of mosquitoes such as hatching rate, transition rate, longevity, and oviposition rate had an inverted J shape with temperature, and the thresholds were 31.2 °C, 32.1 °C, 17.7 °C, and 25.7 °C, respectively. The parameter expressions of Aedes albopictus using meteorological factors as predictors under different stages were established. Meteorological factors especially temperature significantly influence the development of Aedes albopictus under different physiological stages. The established formulas of ecological parameters can provide important information for modeling mosquito-borne infectious diseases.
PubDate: 2023-03-08
- Hospital admission tendencies caused by day-to-day temperature changes
during summer: a case study for the city of Novi Sad (Serbia)-
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Abstract: Abstract Increased temperature risk in cities threatens the health and well-being of urban population and is fueled by climate change and intensive urbanization. Consequently, further steps must be taken for assessing temperature conditions in cities and their association with public health, in order to improve public health prevention at local or regional level. This study contributes to solving the problems by analyzing the connection between extreme temperatures and the tendencies of all-cause hospital admissions. The analyses used (a) 1-h air temperature data, and (b) daily data of all-cause hospital admissions. The datasets include the summer period (June, July, August) for the years 2016 and 2017. We tested the effects of two temperature indices, day-to-day change in maximum temperature — Tmax,c and daily temperature range — Tr, with all-cause hospital admission subgroups, such as all-cause cases — Ha, hospital admissions in the population below 65 — Ha<65, and hospital admissions in the population aged 65 and over — Ha≥65. The results show the highest values of Ha when Tmax,c is between 6 and 10 °C. Therefore, more intensive hospital admissions can be expected when Tmax increases from day-to-day (positive values of Tmax,c), and it is more visible for Ha and Ha<65 (1 °C = 1% increase in hospital admissions). Also, Tr values between 10 °C and 14 °C cause an increase in the number of hospital admissions, and it is more noticeable for Ha≥65.
PubDate: 2023-03-07
- Delayed egg-laying in Red-backed Shrike Lanius collurio in relation to
increased rainfall in east-central Poland-
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Abstract: Abstract Climate change has affected the breeding parameters of many animal species. In birds, most studies have focused on the effects of temperature on clutch phenology and clutch size. The long-term influence of other weather factors, including rainfall, on breeding parameters have been analysed much less often. Based on a 23-year dataset and 308 broods, we documented shifts in the timing of breeding, clutch size and mean egg volume in a long-distance migrant, the Red-backed Shrike Lanius collurio, from a central European population. We found a 5-day shift towards delayed breeding, but no differences in brood size or egg volume during those 23 years. The GLM analysis showed that the mean May temperature had a positive influence on the clutch initiation date, whereas the number of days with rain delayed laying. During the period 1999–2021, there was no change in the mean May temperature, but total precipitation and the number of days with rain in May increased. Thus, delayed nesting in this population was probably due to the increase in rainfall during this period. Our results provide a rare example of delayed nesting in birds in recent years. Predicted changes in the climate make it difficult to assess the long-term impact of global warming on the viability of Red-backed Shrike populations in east-central Poland.
PubDate: 2023-03-07
- The influence of ambient temperature and polyphenols from plant leaves on
growth and the response to oxidative and nitrosative stress in African
nightcrawler earthworm, Eudrilus eugeniae (Kinberg, 1867)-
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Abstract: Abstract Earthworms are one of the organisms that may be affected by climate change. Finding ways to help them deal with this problem is, therefore, important and necessary. The objective of this experiment was to understand the influence of ambient temperature and polyphenols from mulberry (Morus alba L.), almond (Terminalia catappa L.) and cassava (Manihot esculenta (L.) Crantz) leaves on growth, ferric reducing antioxidant power (FRAP), malondialdehyde (MDA), hydrogen peroxide (H2O2) and nitric oxide (NO) concentration of the African night crawler, Eudrilus eugeniae (Kinberg, 1867) earthworm. The earthworms were cultured in 2 different conditions of ambient temperature, and in 4 types of substrate i.e. dairy cow faeces (BS), dairy cow faeces + mulberry leaves (BS + MA), almond leaves (BS + TC), and cassava leaves (BS + ME), respectively. At week 2 of the experiment, body weight, FRAP, MDA, H2O2 and NO were measured in the earthworms. It was found that the body weight gain (BWG) of the earthworms cultured in BS at cyclical temperature (26 + 1oC - 34 + 1oC - 26 + 1oC, CyT) was higher than the constant temperature (26 ± 1 °C, CoT) (P < 0.05). FRAP of earthworms cultured in BS + TC was higher than in other groups (P < 0.05). MDA of earthworms cultured at CyT was higher than ambient temperature at CoT (P < 0.05). At CyT, the MDA of earthworms cultured in BS + MA was higher than that of those cultured in BS, BS + TC and BS + ME (P < 0.05). NO of earthworms at CoT was higher than at CyT(P < 0.05). At CoT, the NO of earthworms cultured in BS + TC was lower than that of those cultured in BS + MA and BS + ME (P < 0.05). H2O2 of earthworms at CoT was higher than those at CyT (P < 0.05). The level of H2O2 of the earthworms cultured in BS + ME at CoT was higher than at CyT (P < 0.05). In addition, the H2O2 of earthworms cultured in both ambient temperatures and cultured in BS + MA was higher than the other groups (P < 0.05). These phenomena indicated that low and high ambient temperatures induced nitrosative and oxidative stress in earthworms, respectively. Mulberry leaves are toxic to earthworms. On the other hand, almond leaves could reduce nitrosative stress in earthworms. While at the CoT, cassava leaves induced the production of H2O2 in the earthworms.
PubDate: 2023-03-06
- Comparative analysis of balneotherapy in European public health systems:
Spain, France, Italy, and Portugal-
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Abstract: Abstract Balneotherapy comprises the use of natural mineral waters for health and/or well-being purposes. When balneotherapy is offered by the public health system, some countries with Latin-based languages call it social thermalism. The aim of this study is to compare balneotherapy in health systems of Spain, France, Italy, and Portugal. The study involves a qualitative systematic review of the literature using the systematic search flow method. Twenty-two documents, from 2000 to 2022, were included and its findings were described in seven categories: the first outlines the historical characterization of social thermalism in the systems analyzed and the others outline the components of the health systems: coverage/access, health financing, workforce, inputs and techniques, organization and regulation, and network provision of services. The models of insurance and social security that cover part of the thermal treatment are highlighted. Doctors with competence in medical hydrology constitute the majority of the workforce. Similarities regarding inputs and techniques are observed, with variation in the number of days of the balneotherapy treatment cycle. In the regulation of services, the Ministry of Health of each country is prominent. The provision of services is mainly performed in specialized care in accredited balneotherapy establishments. Despite the limitations of the method, the comparisons made may serve to support public policies for balneotherapy.
PubDate: 2023-03-04
- Evaluation of the effects of Lake Hévíz sulfur thermal water on skin
microbiome in plaque psoriasis: An open label, pilot study-
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Abstract: Abstract Psoriasis is a chronic inflammatory skin disease. It is associated with changes in skin microbiome. The aim of this study was to evaluate how Lake Hévíz sulfur thermal water influences the composition of microbial communities that colonizes skin in patients with psoriasis. Our secondary objective was to investigate the effects of balneotherapy on disease activity. In this open label study, participants with plaque psoriasis underwent 30-min therapy sessions in Lake Hévíz, at a temperature of 36 °C, five times a week for 3 weeks. The skin microbiome samples were collected by swabbing method from two different areas (lesional skin-psoriatic plaque and non-lesional skin). From 16 patients, 64 samples were processed for a 16S rRNA sequence-based microbiome analysis. Outcome measures were alpha-diversity (Shannon, Simpson, and Chao1 indexes), beta-diversity (Bray–Curtis metric), differences in genus level abundances, and Psoriasis Area and Severity Index (PASI). Skin microbiome samples were collected at baseline, and immediately after treatment. Based on the visual examination of the employed alpha- and beta-diversity measures, no systematic difference based on sampling timepoint or sample location could be revealed in these regards. Balneotherapy in the unaffected area significantly increased the level of Leptolyngbya genus, and significantly decreased the level of Flavobacterium genus. A similar trend was revealed by the results of the psoriasis samples, but the differences were not statistically significant. In patients with mild psoriasis, a significant improvement was observed in PASI scores.
PubDate: 2023-03-03
- Study on nondrug intervention of 7 days of balneotherapy combined with
various sleep-promoting measures on people with sleep disorders:
preliminary and pilot study-
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Abstract: Abstract To preliminarily explore a nondrug intervention method and evaluate its effects (sleep quality, physical examination indicators, and general physical symptoms) on people with sleep disorders. The intervention was based on regular balneotherapy, coupled with targeted health education, appropriate exercise, diet management, and other sleep-promoting measures. It was the combined effects that we evaluated. We recruited 31 volunteers with sleep disorders to receive a 7-day sleep-promoting experience in Tianxing International Hot Spring City, Nanchuan District, Chongqing. The intervention adopted a plan that combined balneotherapy with various sleep-promoting measures. Persisting baths in hot springs 1–2 times per day targeted health lectures about 1 h every morning, appropriate exercise every day (sleep-aid yoga, forest hiking, morning exercises, etc.), and diet management (the principle is to control oil, salt, and sugar, diversify food, keep meat and vegetable balanced, and control total calories. The dinner is light and easy to digest). During the intervention period, all participants followed the above intervention plan, and they lived in the spa resort to accept unified arrangement. This study adopted a self-contrast method by comparing the changes in sleep quality, physical examination indicators, and general physical symptoms before and after the intervention through physical examinations and questionnaire surveys. After the intervention, the subjects’ total score of Insomnia Severity Index (ISI) decreased significantly (P = 0.006), and all seven dimensions showed a decrease, four of which included early morning awakening, sleep dissatisfaction, noticeability of sleep problems by others, and distress caused by sleep problems decreased significantly (all P < 0.05). The subjects’ body mass index, waist circumference, fasting blood glucose, and triglycerides decreased significantly (all P < 0.05), and systolic blood pressure increased significantly (P = 0.006). Total cholesterol, high-density lipoprotein, low-density lipoprotein, and diastolic blood pressure did not change significantly (all P > 0.05). To some extent, all general health problems were improved than before the intervention (the improvement rate was up to 70% or more). The non-pharmacological intervention of balneotherapy combined with various sleep-promoting measures showed positive effects on sleep quality, general physical symptoms, and some physical examination indicators of sleep disorders. This comprehensive intervention may be an effective way to improve people’s health with sleep disorders.
PubDate: 2023-03-01
- Leptospirosis modelling using hydrometeorological indices and random
forest machine learning-
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Abstract: Abstract Leptospirosis is a zoonosis that has been linked to hydrometeorological variability. Hydrometeorological averages and extremes have been used before as drivers in the statistical prediction of disease. However, their importance and predictive capacity are still little known. In this study, the use of a random forest classifier was explored to analyze the relative importance of hydrometeorological indices in developing the leptospirosis model and to evaluate the performance of models based on the type of indices used, using case data from three districts in Kelantan, Malaysia, that experience annual monsoonal rainfall and flooding. First, hydrometeorological data including rainfall, streamflow, water level, relative humidity, and temperature were transformed into 164 weekly average and extreme indices in accordance with the Expert Team on Climate Change Detection and Indices (ETCCDI). Then, weekly case occurrences were classified into binary classes “high” and “low” based on an average threshold. Seventeen models based on “average,” “extreme,” and “mixed” indices were trained by optimizing the feature subsets based on the model computed mean decrease Gini (MDG) scores. The variable importance was assessed through cross-correlation analysis and the MDG score. The average and extreme models showed similar prediction accuracy ranges (61.5–76.1% and 72.3–77.0%) while the mixed models showed an improvement (71.7–82.6% prediction accuracy). An extreme model was the most sensitive while an average model was the most specific. The time lag associated with the driving indices agreed with the seasonality of the monsoon. The rainfall variable (extreme) was the most important in classifying the leptospirosis occurrence while streamflow was the least important despite showing higher correlations with leptospirosis.
PubDate: 2023-03-01
- Spatial and temporal pattern of deficient Indian summer monsoon rainfall
(ISMR): impact on Kharif (summer monsoon) food grain production in India-
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Abstract: Abstract Despite a significant increasing trend in historical food grain production (FGP) in India, deficient Indian summer monsoon rainfall (ISMR) often causes a reduction in FGP. The present study was carried out to understand temporal and spatial variations in deficient rainfall (drought) and their impact on national and regional FGP of India. Long-term (1901–2020) percentage departure in rainfall and drought areas over the country showed nonsignificant and significant trends, respectively. Subdivisional rainfall showed significant decreasing and increasing trends in 4 and 5 subdivisions, respectively. Drought years of high frequency (once in 3–4 years) and 4 to 5 consecutive drought years (once in 120 years) occurred in northwest and western subdivisions of India. Departure in de-trended production of All India Kharif food grains from its normal (DDP) showed significant quadratic relationship with departure in ISMR from its normal (DRF). Besides the quadratic equation, another multiple regression model taking de-trended crop area, DRF, and drought area as predictor variables was developed for predicting DDP. Both these models, with high R2 (0.8–0.88) between observed and predicted data and low RMSE (2.6–2.7%), can be employed for advanced estimation of DDP of the country and for taking country-level policy decisions by the Indian Government. For the first time, models were formulated to estimate state-wise departure in FGP (DP). In these models, novel indices viz., (i) rainfall departure and irrigation index (RDII) and (ii) physical and socio-economic index (PSEI), were used as predictor variables. These models, with R2 (0.71–0.75) and RMSE of 11.8–14.2(< SD of observed data), hold promise for advance estimation of production loss in states, useful for regional-level planning by the Government of India, and testing them in other countries.
PubDate: 2023-03-01
- Common snowdrop as a climate change bioindicator in Czechia
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Abstract: Abstract The phenological response to climate change differs among species. We examined the beginning of flowering of the common snowdrop (Galanthus nivalis) in connection with meteorological variables in Czechia in the period 1923–2021. The long-term series were analyzed from phenological and meteorological stations of the Czech Hydrometeorological Institute (CHMI). Temporal and spatial evaluation (using Geographic Information System) in timing of beginning of flowering (BBCH 61) of G. nivalis was investigated under urban and rural settings. Furthermore, the detailed analysis of selected meteorological variables to onset of G. nivalis flowering was performed. Moreover, the trends (using Mann–Kendall test) and Pearson’s correlation coefficients between phenological phase and meteorological variable were calculated. The main finding of this study was that the trend of the beginning of flowering of the common snowdrop during the studied period (1923–2021) is negative, and it varies in urban and rural environments. The results showed most significant acceleration of the beginning of flowering of G. nivalis by − 0.20 day year−1 in urban area and by − 0.11 day year−1 in rural area. Above that, a major turning point occurred between 1987 and 1988 (both, in phenological observations and meteorological variables), and the variability of the beginning of flowering is significantly higher in the second period 1988–2021. On top of, the study proved that the beginning of flowering of G. nivalis closely correlated with number of days with snow cover above 1 cm (December–March) at both types of stations (urban and rural), and with mean air temperature in February, maximum air temperature in January, and minimum air temperature in March. The Mann–Kendall test showed a reduction in the number of days with snow cover above 1 cm (December–March) during 99 years period at Klatovy station (a long-term time series) by − 0.06 day year−1, i.e., by − 5.94 days per the whole period. Conversely, air temperatures increase (maximum and minimum air temperature by 0.03 °C year−1 (2.97 °C per the whole period) and average air temperature by 0.02 °C year−1 (1.98 °C per the whole period)). Thus, our results indicate significant changes in the beginning of flowering of G. nivalis in Czechia as a consequence of climate change.
PubDate: 2023-03-01
- The effects of immersion in 42℃ radon, natrium, calcium, bicarbonate
content thermal-mineral water on chronic low back pain. Controlled,
follow-up study-
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Abstract: Abstract In our minimized follow-up trial with 137 participants with chronic low back pain, one group of participants received regular outpatient care, and the other group received balneotherapy by immersion in 42℃ thermal-mineral water in addition to regular outpatient care on 15 occasions for 3 weeks. Pain on movement and at rest on the 0–100 mm visual analogue scale (VAS), Oswestry index, the number of participants evaluating the symptoms clinically acceptable (Patient Acceptable Symptom State, PASS) and the EuroQol-5D-5L (EQ-5D-5L) quality of life questionnaire were assessed at basal time (at week 0) and after balneotherapy (at weeks 3 and 12). The VAS pain scores, the Oswestry index, the EQ-5D-5L index and the EQ-VAS significantly improved in the balneotherapy group after treatment at week 3 (p < 0.001) and week 12 (p < 0.001) compared to baseline, with a significant between group difference at week 3 (p < 0.001) and week 12 (p < 0.001). The pain VAS score on movement was 66.82 ± 11.48, 26.69 ± 21.49, and 20.09 ± 23.29 in the balneotherapy group, and 63.67 ± 14.77, 67.35 ± 15.44, and 70.23 ± 18.26 in the control group at the consecutive visits. The PASS increased in both groups at week 3 and week 12 compared to the baseline, with a significant between-group difference at week 3 and week 12 for the balneotherapy group. Our results suggest the therapeutic efficacy of immersion in 42℃ thermal mineral water on chronic low back pain. ClinicalTrials.gov Identifier: NCT05342051.
PubDate: 2023-03-01
- Agromet wheat app for estimation of phenology and yield of wheat under
Punjab conditions-
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Abstract: Abstract The field experiments were conducted at the Research Farm, Punjab Agricultural University, Ludhiana, during rabi seasons of 2017–18 and 2018–19. The wheat varieties, viz. PBW-725, PBW-677, and HD-3086, were sown on 25th October, 15th November, and 5th December during both the crop seasons. Regression equations between grain yield, dry matter, and growing degree days were developed, and their performance efficiency was evaluated using mean square error (MSE), root mean square error (RMSE), mean absolute percentage error (MAPE), Akaike information criteria (AIC), and Schwarz-Bayesian information criteria (SBC), and the lowest values of AIC and SBC were used for wheat yield prediction. Based on historical data, agroclimatic index-based regression models were also developed for grain yield prediction at vegetative and reproductive stages under different dates of sowing. At the reproductive stage, the accumulated growing degree day (AGDD)-based model for 25th October sowing that gave 16 percent error, followed by 15th November sowing with 5.7 percent error, is the best model for yield prediction having minimum error. “Agromet wheat app,” which is a mobile-based android app, was developed. This app is simple and has easy user interface which gives information about wheat management practices, weather, and insect-disease warnings and calculation of growing degree days at different phenophases of wheat in English and regional language Punjabi for three agroclimatic zones, viz., submountain undulating zone (Gurdaspur), central plain zone (Ludhiana), and western zone (Bathinda).
PubDate: 2023-03-01
- Thermal response of human body with immersion suit in cold environment
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Abstract: Abstract Hypothermia caused by cold water immersion is one of the main causes of death in marine accidents. Immersion suit is a kind of protective clothing when implementing flying tasks over the sea in cold seasons, with the main function to slow down the loss of human heat in water and prolong the survival time. In this study, the thermal properties and wearing types of immersion suit and underwear were analyzed. The subjects with internal- and external-wear immersion suit exposed to the experimental environments for 2 h in five working conditions. The core temperature, weighted average skin temperature, and average body temperature were measured and calculated. Both internal- and external-wear immersion suits could fulfil the cold protection requirements under the experimental conditions. The results of clothing parameter tests and physiological experiments both exhibit that the external-wear immersion suit has better thermal insulation effect. And the tolerance time in low-temperature water was predicted, which is crucial for effective and efficient rescue during shipwreck in adverse thermal scenarios. In future research, a comprehensive evaluation and analysis of the thermal insulation performance of immersion suit could be completed in combination with the water ingress of the clothing, the subjects’ thermal comfort, and flexibility of the clothing.
PubDate: 2023-03-01
- A systematic review of the effects of silvopastoral system on thermal
environment and dairy cows’ behavioral and physiological responses-
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Abstract: Abstract Does the silvopastoral system (SPS) promote a satisfactory thermal environment for dairy cows to perform their natural behaviors and perform a suitable thermoregulatory function' To answer this, peer-reviewed articles, written in English and evaluating the effects of silvopastoral systems on thermal environment, dairy cows’ behavior, and physiology were used in this systematic review; additionally, a bibliometric approach was performed. Web of Science and Google Scholar were used to compile the literature. The resulting articles (1448) underwent a 4-step appraisal process and resulted in 19 articles that fitted our inclusion criteria. Microclimate variables and thermal comfort indicators were the most researched topics (discussed in 89% of studies); 47% of studies addressed cattle behavior and 36% physiological responses. Our review highlights different benefits of silvopastoral systems for grazing dairy cows. For example, the SPS provides a more comfortable thermal environment than treeless pasture, which increases feeding behaviors; furthermore, dairy cows in SPS show lower drinking events, surface temperature, and respiratory rate than cows raised in treeless pasture. However, for nine of the variables related to cows’ behavior (e.g., resting, rumination) and physiology responses (e.g., internal temperature), the results of the studies were unclear. Furthermore, behaviors associated with lying down (e.g., idling and rumination) and milk production in SPS were explored only in six and two studies, respectively. These findings provide consistent evidence that the silvopastoral systems are beneficial to thermal comfort of dairy cows; nonetheless, the effect on cows’ behavioral and physiological responses is still scarce and unclear.
PubDate: 2023-03-01
- Decision support system to classify the vulnerability of broiler
production system to heat stress based on fuzzy logic-
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Abstract: Abstract In this study, we develop an artificial intelligence model to predict the vulnerability of broiler production systems (broilers and facilities) to heat conditions using a fuzzy model approach. The model was designed with a multiple-input and a single-output (MISO) approach (input: physical environment and broilers age; output: degree of vulnerability of broilers system). For the validation of the fuzzy model, two approaches were used: (1) records from the scientific literature and (2) meteorological forecasts. First, we validated the model fuzzy with data from the scientific literature; second, we validate the model with data from meteorological forecasts. Both validation approaches were performed in different scenarios of the thermal environment (comfort, discomfort, and discomfort + low heat exchange), broilers’ age (21–35 days, 25–39 days, and 28–42 days), and relative cooling efficiency (0% inefficient; and 80% efficient). Then, we applied the model to predict the degree of vulnerability of the broiler system with the help of weather forecasts. The recall and precision of the fuzzy model were high (> 0.9) for the thermal comfort and thermal discomfort + low heat exchange scenarios. In contrast, the fuzzy model was moderate agreement (recall 0.45; precision 0.64) for the thermal discomfort scenario compared to the scientific literature. The application of the model with the weather forecast showed the interaction between the physical and biological systems when submitted to a thermal environment challenge. Regardless of the broilers’ age, a high degree of vulnerability was observed in facilities with inefficient cooling system. The fuzzy model developed in this study was efficient to predict the vulnerability of the broiler production system to heat conditions, further, to identify the uncertain conditions associated with broilers’ age, relative humidity, and the relative cooling efficiency of the facilities.
PubDate: 2023-03-01
- Prediction of mustard yield using different machine learning techniques: a
case study of Rajasthan, India-
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Abstract: Abstract Mustard is the second most important edible oilseed after groundnut for India. Adverse weather drastically reduces the mustard yield. Weather variables affect the crop differently during different stages of development. Weather influence on crop yield depends not only on the magnitude of weather variables but also on weather distribution pattern over the crop growing period. Hence, developing models using weather variables for accurate and timely crop yield prediction is foremost important for crop management and planning decisions regarding storage, import, export, etc. Machine learning plays a significant role as it has a decision support tool for crop yield prediction. The models for mustard yield prediction was developed using long-term weather data during the crop growing period along with mustard yield data. Techniques used for developing the model were variable selection using stepwise multiple linear regression (SMLR) and artificial neural network (SMLR-ANN), variable selection using SMLR and support vector machine (SMLR-SVM), variable selection using SMLR and random forest (SMLR-RF), variable extraction using principal component analysis (PCA) and ANN (PCA-ANN), variable extraction using PCA and SVM (PCA-SVM), and variable extraction using PCA and RF (PCA-RF). Optimal combinations of the developed models were done for improving the accuracy of mustard yield prediction. Results showed that, on the basis of model accuracy parameters nRMSE, RMSE, and RPD, the PCA-SVM model performed best among all the six models developed for mustard yield prediction of study areas. Performance of mustard yield prediction done by optimum combinations of the models was better than the individual model.
PubDate: 2023-03-01
- Heatwaves and mortality in Queensland 2010–2019: implications for a
homogenous state-wide approach-
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Abstract: Abstract Heatwaves are a significant cause of adverse health outcomes and mortality in Australia, worsening with climate change. In Queensland, the northeastern-most state, little is known about the impact of heatwaves outside of the capital city of Brisbane. This study aims to explore the impact of heatwaves on mortality across various demographic and environmental conditions within Queensland from 2010 to 2019. The Excess Heat Factor was used to indicate heatwave periods at the Statistical Area 2 (SA2) level. Registered deaths data from the Australian Bureau of Statistics and heatwave data from the Bureau of Meteorology were matched using a case-crossover approach. Relative risk and 95% confidence intervals were calculated across years, regions, age, sex, rurality, socioeconomic status, and cause of death. Heatwaves were associated with a 5% increase in all-cause mortality compared to deaths on non-heatwave days, with variability across the state. The risk of death on a heatwave day versus a non-heatwave day varied by heatwave severity. Individuals living in urban centers, the elderly, and those living in regions of lower socioeconomic status were most impacted by heatwave mortality. The relative risk of dying from neoplasms, nervous system conditions, respiratory conditions, and mental and behavioral conditions increased during heatwaves. As heatwaves increase in Queensland due to climate change, understanding the impact of heatwaves on mortality across Queensland is important to tailor public health messages. There is considerable variability across communities, demographic groups, and medical conditions, and as such messages need to be tailored to risk.
PubDate: 2023-02-03
- Maximum limit of sensible heat dissipation in Japanese quail
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Abstract: Abstract Surface temperature can be used as a tool for calculating sensible heat transfer. However, it needs to be associated with air temperature to identify the direction of heat flow (gain or loss). This study quantified sensible heat transfer in Japanese quail as a function of operative temperature. The meteorological variables were air temperature, relative humidity, and black globe temperature. Quail surface temperature was measured on 50 adult Coturnix coturnix japonica individuals 270 days old during 8 days by using a thermographic camera. The data were analyzed by the least-squares method to assess the effects of sex (male and female), period of the day (morning and afternoon), and body region (head, body, and feet). Quail surface temperature was strongly correlated with operative temperature. The total sensible heat flow was 64.02 W m−2. The morning period had a mean operative temperature of 22.48 °C, providing a higher gradient between air and quail temperature and thereby producing a higher heat flow (82.19 W m−2). In the afternoon, the heat transfer was lower (45.70 W m−2) because the operative temperature was higher (30.84 °C). Comparison between sexes showed that heat transfer was higher in females (67.37 W m−2) than in males (60.53 W m−2). The head served as an important thermal window, with a heat transfer of 78.24 W m−2, whereas the body and feet had a transfer of 56.80 W m−2. Heat transfer by sensible mechanisms was quantified in Japanese quail. Heat transfer depended greatly on ambient temperature. When the operative temperature was below 28 °C, sensible mechanisms were efficient in dissipating heat to the environment. When the ambient temperature exceeded 29 °C, quail could not effectively dissipate heat to the environment through sensible mechanisms. At 30 °C and above, heat loss shifted to heat gain, causing thermal stress in Japanese quail.
PubDate: 2023-02-01
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