Extreme Temperatures Research Articles

Trends of Extreme Temperature and Rainfall Indices for Addis Ababa City, Ethiopia

The extreme temperature and precipitation index trend analysis for Addis Ababa city is presented in this study. The Bole and Tikur Anbesa observatories, two stations in the capital city of Addis Ababa, provide the temperature and rainfall variation used in this analysis. The RClim-Dex software has been used to find climate extreme indices for Addis Ababa city stations based on climate data for the period 1954 to 2019. The annual total precipitation trend (PRCPTOT) at the 5% significant level exhibits a positive slope at the Addis Ababa observatory and a negative slope at the Addis Ababa Bole station. SDII trends indicate an increase at the 5% significant threshold for both stations. At the 5% significance level, the trends for both stations’ maximum and lowest temperatures show a positive slope. Conversely, both stations exhibit a negative slope in the diurnal temperature ranges. The RClim-Dex results indicate that, while rainfall intensity is decreasing, there is a tendency for annual rainfall indices to increase at the Addis Ababa observatory station, but to decrease at the Bole station. Additionally, there is an upward slope for consecutive wet days for all stations. Nevertheless, steady warming patterns are evident for both the maximum and minimum temperature indices. In contrast, declining trends are shown in the diurnal temperature ranges.

Effects of temperature on fish aggression and the combined impact of temperature and turbidity on thermal tolerance

Deforestation can increase light penetration and runoff entering adjacent freshwaters leading to increased average water temperature, stronger diel temperature fluctuations, and increased water turbidity. Changes in temperature extremes (particularly upper peaks) are important for fishes as their body temperature and rate of oxygen consumption varies with environmental temperature. Here, we compare effects of diel-fluctuating versus stable water temperature regimes on the behaviour and upper thermal tolerance (measured as Critical Thermal Maximum, CTmax) of the Bluntnose Minnow, Pimephales notatus. Fish were acclimated to either a static 18°C, static 24°C or a diel-fluctuating treatment of low to high (18-24°C) for a total of 10 weeks. Activity level and aggression were measured for 6 consecutive weeks during the acclimation period. Activity level remained high across treatments and over time. However, fish from the diel-fluctuating treatment exhibited a significant increase in aggression over the day as temperatures increased from 18°C to 24°C. Following acclimation, upper thermal limits of fish from each treatment were measured under two conditions: clear water (<2 NTU) and turbid water (25 NTU). This was to evaluate effects of acute turbidity exposure that might arise with heavy rain on deforested streams. CTmax was lowest in fish acclimated to static 18°C and highest in fish acclimated to static 24°C; fish acclimated to diel 18-24°C showed an intermediate CTmax. Exposure to acute turbidity during CTmax trials significantly lowered CTmax across all treatments, highlighting the importance of multiple-stressor studies in evaluating upper thermal tolerance of fishes.

A hybrid approach for skillful multiseasonal prediction of winter North Pacific blocking

Wintertime atmospheric blocking often brings adverse environmental and socioeconomic impacts through its accompanying temperature and precipitation extremes. However, due to the chaotic nature of the extratropical atmospheric circulation and the challenges in simulating blocking, the skillful seasonal prediction of blocking remains elusive. In this study, we leverage both observational data and seasonal hindcasts from a state-of-the-art seasonal prediction system to investigate the prediction skill of North Pacific wintertime blocking frequency and its linkage to downstream cold extremes. The observational results show that North Pacific blocking has a local maximum over the central North Pacific Ocean and that the occurrence of North Pacific blocking drives significant cold anomalies over northwestern North America within a week, which are both well reproduced by the model. The model skillfully predicts the western North Pacific blocking frequency near the subtropical jet exit region at the shortest forecast lead, but skill drops off rapidly with lead time partly due to model drift in the background flow. To overcome this rapid drop in skill, we develop a linear hybrid dynamical-statistical model that uses the forecasted Niño 3.4 index and upstream precipitation as predictors and that maintains significant forecast skill of high-latitude North Pacific blocking up to 7 lead months in advance. Our results indicate that an improvement in the seasonal prediction skill of winter North Pacific blocking frequency may be achieved by the enhanced representation of the links among sea surface temperature anomalies, tropical convection, and the ensuing tropical-extratropical interaction that initiates North Pacific blocking.

Aspects of Spodumene Lithium Extraction Techniques

Lithium (Li), a leading cathode material in rechargeable Li-ion batteries, is vital to modern energy storage technology, establishing it as one of the most impactful and strategical elements. Given the surge in the electric car market, it is crucial to improve lithium recovery from its rich mineral deposits using the most effective extraction technique. In recent years, both industry and academia have shown significant interest in Li recovery from various Li-bearing minerals. Of these, only extraction from spodumene has established a reliable industrial production of Li salts. The current approaches for cracking of the naturally occurring, stable α-spodumene structure into a more open structure—β-spodumene—involve the so-called decrepitation process that takes place at extreme temperatures of ~1100 °C. This conversion is necessary, as β-spodumene is more susceptible to chemical attacks facilitating Li extraction. In the last several decades, many techniques have been demonstrated and patented to process hard-rock mineral spodumene. The objective of this review is to present a thorough analysis of significant findings and the enhancement of process flowsheets over time that can be useful for both research endeavors and industrial process improvements. The review focuses on the following techniques: acid methods, alkali methods, carbonate roasting/autoclaving methods, sulfuric acid roasting/autoclaving methods, chlorinating methods, and mechanochemical activation. Recently, microwaves (MWs), as an energy source, have been employed to transform α-spodumene into β-spodumene. Considering its energy-efficient and short-duration aspects, the review discusses the interaction mechanism of MWs with solids, MW-assisted decrepitation, and Li extraction efficiencies. Finally, the merits and/or disadvantages, challenges, and prospects of the processes are summarized.

Fabricated of Photovoltaic Thermal System with Phase Change Material

At present, solar energy is widely recognized as one of the primary sources of renewable energy. Nonetheless, conventional solar photovoltaic (PV) panels suffer a significant decrease in efficiency when exposed to extreme temperatures, making them unsuitable for long-term operation. To address these limitations, hybrid photovoltaic thermal (PVT) systems with phase change materials (PCM) have emerged as sophisticated solutions, leveraging thermal energy for water heating and PCM for thermal energy storage. This work aims to evaluate key economic parameters of fabricated PVT system (with and without PCM) against commercial solar water heaters and electric heaters, using metrics such as payback period and annual worth. The calculations are carried out using Microsoft Excel spreadsheets. The results reveal that the payback period for PVT systems, both with and without PCM, exceeds 25 years, primarily due to the high initial costs associated with PVT technology. In contrast, solar water heaters and electric water heaters offer shorter payback periods. Specifically, after 25 years, the annual worth for the fabricated PVT system is MYR 923.12. Essentially, the economic analysis suggests that the PVT system has a longer operational lifetime than solar water heaters and electric heaters, despite the extended payback period. This economic analysis has the potential to encourage the large-scale fabrication and installation of efficient PVT-PCM systems. It provides consumers with a viable alternative to consider installing PVT and PVT-PCM systems instead of PV and solar thermal systems separately. Additionally, this study contributes to reducing carbon emissions and advancing the Sustainable Development Goals (SDGs).

Electrolyte Solvation Engineering Stabilizing Anode-Free Sodium Metal Battery With 4.0V-Class Layered Oxide Cathode.

Anode-free sodium metal batteries (AFSMBs) are regarded as the "ceiling" for current sodium-based batteries. However, their practical application is hindered by the unstable electrolyte and interfacial chemistry at the high-voltage cathode and anode-free side, especially under extreme temperature conditions. Here, an advanced electrolyte design strategy based on electrolyte solvation engineering is presented, which shapes a weakly solvating anion-stabilized (WSAS) electrolyte by balancing the interaction between the Na+-solvent and Na+-anion. The special interaction constructs rich contact ion pairs (CIPs) /aggregates (AGGs) clusters at the electrode/electrolyte interface during the dynamic solvation process which facilitates the formation of a uniform and stable interfacial layer, enabling highly stable cycling of 4.0V-class layered oxide cathode from -40°C to 60°C and excellent reversibility of Na plating/stripping with an ultrahigh average CE of 99.89%. Ultimately, industrial multi-layer anode-free pouch cells using the WSAS electrolyte achieve 80% capacity remaining after 50 cycles and even deliver 74.3% capacity at -30°C. This work takes a pivotal step for the further development of high-energy-density Na batteries.

Extreme Heat Events and Emergency Department Visits among Older Adults in California from 2012-2019.

Background and Objectives: Extreme heat events are increasing with climate change impacting human health. This study investigates the impact of extreme heat events on Emergency Department (ED) utilization by older adult patients. Materials and Methods: We conducted a study of all 324 non-federal hospital EDs in California during an 8-year period from data extracted from the California Department of Health Care Access and Information (HCAI). The study utilized a time-stratified case-crossover design to investigate ED visited in patients aged 65 years and older during 1-day and 2-day heat wave events. Extreme heat temperatures were measured and weighted using historical data at the zip code level at the 95th, 97.5th, and 99th percentiles 2012 through 2019. Conditional logistical regression was used to estimate the odds of ED visits during extreme heat events compared to non-extreme heat days. Stratified analyses by age and comorbidity status were conducted. Results: During the study period, 8,744,001 of ED visits among older patients were included in the study analysis. Odds ratios (OR) increased for during 1-day heat events (95th percentile (OR = 1.023, 95%CI: 1.020, 1.027), 97.5th percentile (OR = 1.030, 95%CI: 1.025, 1.035), 99th percentile (OR = 1.039, 95%CI: 1.032, 1.058)) and more so with 2-day heat wave events (95th percentile (OR = 1.031, 95%CI: 1.026, 1.036), 97.5th percentile (OR = 1.039, 95%CI: 1.031, 1.046), 99th percentile (OR = 1.044, 95%CI: 1.032, 1.058)). Older patients with three or more comorbidities had the highest odds of ED visits (OR = 1.085, 95%CI: 1.068, 1.112) at the 99th percentile. Conclusions: Our findings indicate that ED visits increase for older patients during extreme heat events, particularly with event intensity and duration. Older patients with at least one comorbidity were at greater risk.

Changes in temperature and precipitation extremes over Western Asia: A regional ensemble from CMIP6

This study investigates the impacts of climate change on temperature and precipitation extremes in eight West Asian countries (Iran, Afghanistan, Pakistan, Turkmenistan, Azerbaijan, Armenia, Turkey, and Iraq) using a regional ensemble of CMIP6 models. Ten models were evaluated based on their performance in simulating historical temperature and precipitation using the KGE index. Four climate extreme indices (Tmax, Pmax, TX90p and R95p) were employed to assess changes in temperature and precipitation extremes in the study area. The analysis of climate extremes reveals significant projected changes. Tmax is expected to increase in all countries, with the most pronounced rise anticipated in Turkmenistan, where Tmax in the main part of the country is projected to increase by more than 5 °C under the SSP585. Projections for Pmax show a more nuanced picture. Pakistan is expected to experience the highest overall Pmax. TX90p is projected to increase in all countries, indicating a rise in the frequency of extreme heat events. Pakistan is expected to experience the most significant increase in TX90p, reaching up to 36.1 % under the SSP585 (FF) scenario by 2074, followed by Iran and Afghanistan. R95p does not show a clear future trend. Pakistan is anticipated to see the highest increase in R95p, reaching up to 15.2 mm under the SSP585 scenario by 2074, while Turkey might experience a decrease of up to 7.8 mm under the SSP245 scenario. These findings highlight the diverse and concerning impacts of climate change on temperature and precipitation extremes across West Asia. The projected increase in Tmax, TX90p and potential shifts in precipitation patterns pose significant challenges for the region. This study emphasizes the need for region-specific adaptation strategies to address the multifaceted challenges of climate change in West Asia.

A Camel-Fur-Inspired Micro-Extrusion Foaming Porous Elastic Fiber for All-Weather Dual-Mode Human Thermal Regulation.

Maintaining the stability of human body temperature is the basis of ensuring the normal life activities of witness, and the emergence of various functional clothing is committed to assisting the human body temperature in thermal comfort range in the changeable environment. However, achieve dual-mode thermal regulation for cooling and insulation on an integrated material without energy input and addition of functional particles has thus far been a huge challenge. Herein, a biomimetic camel-fur designed micro-extruded physically foamed porous elastic fiber (MEPF) using thermoplastic polyurethane (TPU) elastomer as raw material is reported, and its dual-layered fabric (MEPFT-d) for effective personal thermal comfortable management at extreme temperature differences. Benefit from its micro-nano-pores structure, MEPFT-d represents radiate cooling capacity by high solar reflectance and emissivity, behaves low thermal conductivity delaying heat scattering, and promotes evaporative cooling by unidirectional water transport. These excellent properties ensure that MEPFT-d reduces heat loss in cold weather (7.2 °C higher than cotton) and blocks outside heat in hot weather (10.2 °C lower than cotton), which is suitable for various complex outdoor scenes. The cost-effectiveness and superior wearing comfort of this work provide innovative pathways for sustainable energy, smart textiles, and personal thermal comfort applications.

Substantial Cold Bias During Wintertime Cold Extremes in the Southern Cascadia Region in Historical CMIP6 Simulations

AbstractGlobal climate models often simulate atmospheric conditions incorrectly due to their coarse grid resolution, flaws in their dynamics, and biases resulting from parameterization schemes. Here we document a bias in the magnitude and extent of minimum temperature extremes in the CMIP6 model ensemble, relative to ERA5. The bias is present in the southern Cascadia region (i.e., Pacific Northwestern United States and southwestern British Columbia, Canada, spanning from the coast to the Rocky Mountains), with some models showing a bias magnitude in excess of −10°C in the first percentile of daily winter minimum temperature. The sea level pressure pattern for these events is similar in CMIP6 models and ERA5, showing high anomalies in the Northeast Pacific that are indicative of an atmospheric blocking pattern and consequently more northerly flow. Though this atmospheric blocking pattern is typically concurrent with cold winter temperatures across much of North America, Rocky and Cascade mountain ranges prevent the cold air from reaching the southern Cascadia region as confirmed by the observations and reanalysis. Our results suggest that the bias in CMIP6 minimum temperatures is a result of unresolved topography in the Rockies and Cascade mountain ranges, such that the terrain does not adequately block cold air advection from reaching the southern Cascadia region.

Study on factors affecting resilience behaviours of residents in coastal rural community management in response to typhoons

Coastal rural areas are highly vulnerable to a variety of climate-related disasters, including severe typhoons, extreme temperatures, and other environmental changes, each significantly damaging their ecosystems, economies, and communities. To more effectively predict, respond to, and recover from adverse events, and to maintain community stability and prosperity in these areas, building community resilience has become a central objective in coastal management. A comprehensive understanding of residents' resilience behaviours is essential for bolstering community resilience. Existing research primarily focuses on the causes and intervention strategies associated with residents' resilience, yet it neglects the mechanisms underlying residents' resilience behaviours. This study focuses on typhoon disasters in coastal rural areas, applying the Rural Coastal Community Resilience framework for the first time to expand typhoon resilience behaviours among coastal rural residents from five dimensions. It utilizes the widely recognized Theory of Planned Behaviour model, incorporating three critical variables essential for resilience building-risk perception, trust in community agencies, and community support-to analyse the mechanisms of resilience behaviours. The findings indicate that perceived behavioural control is the foremost predictor of resilience behaviours during typhoons and contrary to traditional views, trust in community agencies did not impact behavioural intentions positively. Moreover, community support, acting as a moderating factor, significantly facilitated the transformation from intentions to behaviours, highlighting the importance of external support. These innovative findings provide valuable strategies and insights for resilience building in coastal rural areas.

Adverse health effects of climate change and air pollution in people with disabilities: a systematic review.

Global warming and air pollution adversely affect the health of the entire human population, particularly older adults, people with disabilities (PWDs), and children. In this systematic review, we investigated the adverse health effects of climate change and air pollution in PWDs. We conducted a comprehensive literature search of the PubMed database using the terms "disab*," "air pollution," and "climate change" on July 4, 2023, and August 8, 2023 and searched the Web of Science (WOS) database on December 28, 2023. We identified 425 and 1169 studies on climate change cited in PubMed and WOS, respectively, as well as 333 studies on air pollution in PubMed and 495 studies on air pollution in WOS. The studies were classified by type of exposure, and full-text screening was conducted to confirm that the population, intervention or exposure, comparator, outcome statement, and inclusion and exclusion criteria were met. The Newcastle-Ottawa Scale was used to assess the quality of the included cohort and case-control studies and for data analysis. In extreme temperatures, PWDs experienced higher rates of injury, heat-related illness, functional impairment, heart disease, mental disorders, and mortality than people who were nondisabled (ND). Exposure to air pollution resulted in higher rates of obesity, cardiovascular disease, poststroke neurological and functional disability, and mortality in PWDs than in people who were ND. Therefore, because PWDs were more affected by climate change and air pollution than people who were ND, sensitive policies and preparedness measures should be developed for PWDs.

Relationship between temperature and acute myocardial infarction: a time series study in Xuzhou, China, from 2018 to 2020

BackgroundIt is widely known that the incidence rate and short-term mortality of acute myocardial infarctions (AMIs) are generally higher during the winter months. The goal of this study was to determine how the temperature of the environment influences fatal acute myocardial infarctions in Xuzhou.MethodsThis observational study used the daily meteorological data and the data on the cause of death from acute myocardial infarction in Xuzhou from January 1, 2018, to December 31, 2020. After controlling meteorological variables and pollutants, the distributed nonlinear lag model (DLNM) was used to estimate the correlation between temperature and lethal AMI.ResultsA total of 27,712 patients with fatal AMI were enrolled. 82.4% were over the age of 65, and 50.9% were men. Relative to the reference temperature (15 ℃), the 30-day cumulative RRs of the extremely cold temperature (− 2 ℃) for the general population, women, and people aged 65 years and above were 4.66 (95% CI: 1.76, 12.30), 15.29 (95% CI: 3.94, 59.36), and 7.13 (95% CI: 2.50, 20.35), respectively. The 30-day cumulative RRs of the cold temperature (2 ℃) for the general population, women, and people aged 65 years and above were 2.55 (1.37, 4.75), 12.78 (2.24, 5.36), and 3.15 (1.61, 6.16), respectively. No statistically significant association was observed between high temperatures and the risk of fatal AMI. The influence of the cold effect (1st and 10th) was at its peak on that day, and the entire cold effect persisted for 30 days. Temperature extremes had an effect on the lag patterns of distinct age and gender stratifications.ConclusionAccording to this study, the risk of fatal AMI increases significantly in cold weather but not in hot weather. Women above the age of 65 are particularly sensitive to severe weather events. The influence of frigid weather on public health should also be considered.

A century-long China homogenized daily surface air temperature dataset (CUG-CMA CHDT)

Daily meteorological observation data of the early period (pre-1950) were critically important for investigating the long-term trends and multi-decadal scale variability of extreme climate events. The high-resolution surface air temperature (SAT) data for time period before 1950 are lacking in China. We extended the SAT observations of China back to 1840 through developing a pre-1950 daily SAT dataset. The early-period daily SAT were manually corrected for the input and clerical errors, and then according to the length or coverage of time, the main series for each of the cities was determined. The observation time system of unknown sites was determined by the minimum difference method. After these operations, the data of all sites were unified into the same format. By using the ridge regressions established based on data from modern reference stations, the missing maximum temperature (Tmax) and minimum temperature (Tmin) were interpolated. The early-period data were combined with modern data to form the long-term daily SAT dataset of 1840–2020 in China. RHtest software was used to detect and adjust the inhomogeneities in the station data series. Finally, the century-long homogenized daily SAT dataset including 45 key city stations in China was obtained. Among the stations, there are 20 stations with observation record more than one hundred years. The length of temperature observation series of 17 stations is between 80 and 100 years. The series length of the remaining 7 stations is between 68 and 80 years. Finally, the angular distance weighting (ADW) method was used to interpolate the data into grid products, and the grid size is 2.5 ° × 2.5 °. The dataset was named CUG-CMA CHDT, which is applicable in monitoring, studies and assessments of regional extreme temperature change and variability in China.

The heat is on: impact of heat waves on critical thermal maxima in larvae and adults of solitary bee Osmia bicornis (Hymenoptera: Megachilidae)

Extreme temperature events, such as heat waves, are increasing in frequency, magnitude, and duration. These events are believed to contribute to pollinator decline. Critical thermal maxima (CTmax) is a key physiological trait for understanding an organism’s ecology and predicting its responses to changes in climate. In this study, we investigated whether different life stages with distinct thermoregulatory behaviors differ in their CTmax in the solitary bee Osmia bicornis, one of the most common and important pollinators in Central Europe. Additionally, we tested the influence of excessively high temperatures, heat waves, on the CTmax in Osmia bicornis. We found CTmax varied among life stages, with adults exhibiting higher CTmax than larvae. Both females and males of adult bees showed a negative correlation between CTmax and body mass. Interestingly, adult bees exposed to different heat waves during their larval stage did not exhibit significant shifts in CTmax. These results suggest that bees may have limited capacity to enhance heat tolerance in response to prior heat exposure.

Short-term exposure to PM2.5 constituents, extreme temperature events and stroke mortality

BackgroundFine particulate matter (PM2.5) pollution and extreme temperature events (ETEs) are main environmental threats to human health. Elevated stroke mortality has been growingly linked to PM2.5 mass exposure, while its relationship with PM2.5 constituents was extensively unstudied across the globe. Additionally, no prior assessments have investigated the interactive effects of PM2.5 constituents and ETEs on stroke mortality. MethodsProvince-wide records of 320,372 stroke deaths collected in eastern China during 2016–2019 were analyzed using an individual-level time-stratified case-crossover design. Daily gridded estimates of PM2.5 mass and its major constituents (i.e., black carbon [BC], organic matter [OM], ammonium [NH4+], sulfate [SO42‐], and nitrate [NO3‐]) were assigned to stroke cases on case days and control days at the residential address. We assessed 12 ETEs defined by multiple combinations of air temperature thresholds (2.5–10th percentiles for cold spell, 90–97.5th percentiles for heat wave) and durations (2–4 days). Conditional logistic regression model was applied to investigate associations of short-term exposure to PM2.5 constituents and ETEs with stroke mortality. Odds ratio and its 95% confidence interval (CI) were assessed for an interquartile range (IQR) increase in each PM2.5 constituent and on ETEs days compared with non-ETEs days. Additive interactive effects were quantitatively evaluated via relative excess odds due to interaction (REOI), attributable proportion due to interaction (AP), and synergy index (SI). ResultsElevated overall stroke mortality was significantly related to PM2.5 constituents, with the largest odds observed for NO3‐ (1.04, 95% CI: 1.03–1.04, IQR = 11.25 μg/m3), followed by OM (1.03, 1.03–1.04, IQR = 7.97 μg/m3), NH4+ (1.03, 1.02–1.04, IQR = 6.66 μg/m3), BC (1.03, 1.02–1.03, IQR = 1.41 μg/m3), and SO42‐ (1.03, 1.02–1.03, IQR = 6.67 μg/m3). Overall, higher risks of stroke mortality were identified in analyses using more rigorous thresholds and lengthened durations of ETEs definitions, ranging from 1.19 (1.17–1.21) to 1.55 (1.51–1.60) for heat wave, and 1.03 (1.02–1.05) to 1.11 (1.08–1.15) for cold spell, respectively. We observed consistent evidence for the synergistic effects of heat wave and PM2.5 constituents on both ischemic and hemorrhagic stroke mortality, where compound exposures to heat wave and secondary inorganic aerosols (i.e., NO3‐, SO42‐, and NH4+) posed greater increases in risk (0.23< REOI <0.81, 0.16< AP <0.39, and 2.63< SI <8.19). ConclusionsShort-term exposure to both PM2.5 constituents and ETEs were associated with heightened stroke mortality, and heat wave may interact synergistically with PM2.5 constituents to trigger stroke deaths.

Outdoor thermal sensation scale through biometeorological assessment for semi-arid climate.

Extreme temperatures in urban areas cause discomfort leading to a rise in health risks, like heat-related mortality (hyperthermia). It is, hence, important to have a comfortable thermal environment. Assessing outdoor thermal comfort is challenging and complicated due to its dependencies on biometeorological and psychological factors. This study investigates the outdoor thermal comfort in Ahmedabad, a city with semi-arid climate in India through biometeorological measurements and thermal comfort surveys. The study carried out thermal comfort surveys of 1620 subjects spread across the city in 2022-23 covering all the seasons. The temperature and relative humidity were in the range of 21.6°C to 44.9°C and 8 to 86% respectively. About 43% of the subjects felt thermally comfortable during the survey. Based on the survey results, the annual neutral Physiological Equivalent Temperature (PET) obtained was 27.5°C, and the comfortable PET range was between 21.1°C and 33.9°C which covers a wide range. Neutral PET for summer and winter seasons obtained were similar, which indicates winters are getting milder and people of Ahmedabad are getting more adaptive towards warmer temperature. These results hold special significance as there is limited research on outdoor thermal comfort in such climate zone of India.

The stratified effect of extreme temperatures on birth weight: the role of energy prices

This paper fills a notable gap in the existing literature on birth outcomes and extreme temperatures by examining the causal moderating effect of energy prices on the impact of extreme temperatures during pregnancy on birth weight. It uses a sharp increase in energy prices that occurred in Spain in March 2021 as an identification strategy and incorporates a new weather dataset that increases the number of monitors from which temperature information is derived in previous research by more than sixfold. The results show that the negative effects of extreme temperatures on birth weight are amplified at higher energy prices, especially for mothers of lower socioeconomic status. By focusing on how energy prices moderate the impact of extreme temperatures on birth outcomes, opportunities arise for policy interventions aimed at reducing health inequalities at birth. Moreover, given the critical role that events in utero play in individuals’ later development, such policies have the potential not only to reduce health inequalities at birth, but also to address broader inequalities in long-term outcomes.

Among- and within-population variation in germination response shapes ecological resilience in the Mediterranean cliff species Brassica incana Ten.

Understanding how plant species respond to extreme conditions is crucial for predicting their ecological resilience under climate change. Here, we aim to forecast the ecological resilience of the Mediterranean cliff species Brassica incana (Brassicaceae) by estimating population variation in germination response under novel extreme environmental conditions. We investigated the thermal germination responses in 14 populations of B. incana by exposing seeds to temperatures within and outside conditions experienced in their local environment. Then, we quantified among- and within-population variation in germination response to extreme temperatures, estimated genotype-by-environment interactions (G × E) and tested if population performance at extreme temperatures is explained by local climate. We found significant among-population differences in germination response, a different level of within-population variability, and different mechanisms underlying G × E patterns. Also, populations experiencing warmer temperatures in their local environment showed a better performance at both cold and hot extremes while populations experiencing colder temperatures showed a limited ability to germinate under extreme conditions. Our results suggest that populations experiencing warmer temperatures in their local environment have a higher potential to face future thermal extreme conditions and their role is thus crucial to promote species ecological resilience.

Exogenous nitric oxide and hydrogen sulfide as biotechnological tools for enhancing plant adaptation to cold

The challenge of increasing plant tolerance to low temperatures is still relevant despite the upward trend in the average temperatures on Earth. Sharp temperature fluctuations during growing periods and cultivation of thermophilic crops in more northern latitudes increase the likelihood of plants being damaged by cold. Physiologically active substances, primarily hormones and signalling molecules, are considered to be effective for increasing plant tolerance to extreme temperatures. In the last decade, among such compounds, researchers' and practitioners' considerable attention has been paid to gasotransmitters – gaseous substances that are synthesized by living organisms and perform signalling functions. The review analyses the molecular mechanisms of stress protective effects of two major gasotransmitters – nitric oxide (NO) and hydrogen sulfide (H2S). In particular, the physiological effects of gasotransmitters that are attributed to their ability to cause post-translational modifications of numerous target proteins as well as those related to their functional interactions with other signaling intermediaries, primarily ROS and calcium ions, are discussed. The available data on the actions of donors of these gasotransmitters on thermophilic and cold-tolerant plants are summarized. Particular attention is paid to the influence of exogenous NO and H2S on the antioxidant system in plants, their ability to accumulate osmolytes and other low-molecular compounds with multifunctional stress protective effects. Data on the influence of gasotransmitters on fruits during low-temperature storage are analysed separately. It is emphasized that increased storability of fruits under the influence of NO and H2S donors is largely controlled by the ability of both gasotransmitters to inhibit ethylene synthesis. It was concluded that exogenous nitric oxide and hydrogen sulfide could be effective tools for increasing tolerance of different plant taxon’s to low temperatures and used in crop production and storage technologies for fruits and vegetables.