Era Of Climate Change Research Articles

Combined Effect of Ambient Temperature and Relative Humidity on Skin Aging Phenotypes in the Era of Climate Change: Results From an Indian Cohort Study.

Background: There is no doubt that global warming, with its extreme heat events, is having an increasing impact on human health. Heat is not independent of ambient temperature but acts synergistically with relative humidity (RH) to increase the risk of several diseases, such as cardiovascular and pulmonary diseases. Although the skin is the organ in direct contact with the environment, it is currently unknown whether skin health is similarly affected. Objective: While mechanistic studies have demonstrated the mechanism of thermal aging, this is the first epidemiological study to investigate the effect of long-term exposure to heat index (HI) as a combined function of elevated ambient temperature and RH on skin aging phenotypes in Indian women. Methods: The skin aging phenotypes of 1510 Indian women were assessed using the Score of Intrinsic and Extrinsic Skin Aging (SCINEXA™) scoring tool. We used data on ambient temperature and RH, combined into an HI with solar ultraviolet radiation (UVR), and air pollution (particulate matter <2.5 µm [PM2.5]; nitrogen dioxide [NO2]) from secondary data sources with a 5-year mean residential exposure window. An adjusted ordinal multivariate logistic regression model was used to assess the effects of HI on skin aging phenotypes. Results: HI increased pigmentation such as hyperpigmented macula on the forehead (odds ratios [OR]: 1.31, 95% confidence interval [CI]: 1.12, 1.54) and coarse wrinkles such as crow's feet (OR: 1.17, 95% CI: 1.05, 1.30) and under-eye wrinkles (OR: 1.3, 95% CI: 1.15, 1.47). These associations were robust to the confounding effects of solar UVR and age. Prolonged exposure to extreme heat, as indicated by high HI, contributes to skin aging phenotypes. Conclusion: Thus, ambient temperature and RH are important factors in assessing the skin aging exposome.

Heat Index: An Alternative Indicator for Measuring the Impacts of Meteorological Factors on Diarrhoea in the Climate Change Era: A Time Series Study in Dhaka, Bangladesh

Heat index (HI) is a biometeorological indicator that combines temperature and relative humidity. This study aimed to investigate the relationship between the Heat Index and daily counts of diarrhoea hospitalisation in Dhaka, Bangladesh. Data on daily diarrhoea hospitalisations and meteorological variables from 1981 to 2010 were collected. We categorised the Heat Index of &gt;94.3 °F (&gt;34.6 °C), &gt;100.7 °F (&gt;38.2 °C) and &gt;105 °F (&gt;40.6 °C) as high, very high and extremely high Heat Index, respectively. We applied a time series adjusted generalised linear model (GLM) with negative binomial distribution to investigate the effects of the Heat Index and extreme Heat Index on hospitalisations for diarrhoea. Effects were assessed for all ages, children under 5 years old and by gender. A unit higher HI and high, very high and extremely high HI were associated with 0.8%, 8%, 7% and 9% increase in diarrhoea hospitalisations in all ages, respectively. The effects varied slightly by gender and were most pronounced in children under 5 years old with a rise of 1°F in high, very high and extremely high HI associated with a 14.1% (95% CI: 11.3–17.0%), 18.3% (95% CI: 13.4–23.5%) and 18.1% (95% CI: 8.4–28.6%) increase of diarrhoea, respectively. This suggests that the Heat Index may serve as an alternative indicator for measuring the combined effects of temperature and humidity on diarrhoea.

Challenges and opportunities towards meeting the United Nations’ Sustainable Development Goals from coral and seaweed ecosystems in an era of climate change

Challenges and opportunities towards meeting the United Nations’ Sustainable Development Goals from coral and seaweed ecosystems in an era of climate change

Prospects of artificial intelligence for the sustainability of sugarcane production in the modern era of climate change: An overview of related global findings

Prospects of artificial intelligence for the sustainability of sugarcane production in the modern era of climate change: An overview of related global findings

Resilient Sustainability Assessment Framework from a Transdisciplinary System-of-Systems Perspective

The vital role of extensive information exchange among stakeholders across diverse sectors and the interconnection of various scientific fields with nonhomogeneous technology readiness levels has created a new form of a complex engineering problem in the climate change era. Comprehensive sustainability assessment to enable the realization of needs requires transdisciplinary thinking to achieve systematic solutions that bridge the gap between multiple collaborative systems in a portfolio. Although the principal aim of dedicated sustainability regulations is to force companies to move toward sustainability development, general and non-engineered metrics that have not defined clear thresholds for evaluation have encountered severe challenges regarding implementation and economic viability. Therefore, adopting a transdisciplinary systems engineering approach can address multifaceted challenges like sustainability by overcoming collaboration barriers, and traditional disciplinary limits. This paper systematically reviews sustainability-dictated regulations from a transdisciplinary perspective. Different standards are compared, raised opportunities and challenges are discussed, and future remarks are highlighted. The sustainability problem is analyzed from a transdisciplinary systems engineering lens. Finally, a two-level resilient system sustainability assessment framework is proposed to effectively handle and enhance the resilience of companies’ sustainability development roadmaps by enabling decision makers to find robust and highly reliable solutions regarding sustainable system design. The impact of this research is to create a new insight into addressing climate change which not only assesses the current situation but also considers uncertainty sources that affect decision making for the future.

Climate extreme triggers cold-water community rescue

Context Mountain-top associated instream fauna with restricted ranges and limited dispersal capability are especially vulnerable to extinction under global warming and climate extremes. Aims Rescue and housing of multiple cold-water taxa on short timelines in reaction to extreme drought. Methods We undertook multi-species rescue (fishes: Gadopsis marmorata, n = 50; Galaxias olidus, n = 150; and a crayfish Euastacus sulcatus, n = 50) from the headwaters of the Condamine–Balonne catchment, temporarily holding animals in small (200 L) and large (1000 L) aquaria in single- and mixed-species contexts, at below 23°C. Key results Galaxias olidus was successfully kept in one of the small aquaria, but did not survive in mixed-species aquaria, partly being due to predation by other species. Euastacus sulcatus showed decreased survivorship at moulting (predation). Large Gadopsis marmorata (&gt;100-mm total length, TL) was aggressive, whereas maintaining smaller individuals and using large aquaria served to dampen overall aggression levels. Conclusions Holding mixed taxa following field rescues requires attention to detail, including developmental-stage combinations within and across species, enclosure volume and availability of structure. Implications The simultaneous rescue of multiple co-occurring endemic taxa represents a promising aspect of research and adaptive management in the era of global climate change.

Microbial Ecosystems as Guardians of Food Security and Water Resources in the Era of Climate Change

Microbial Ecosystems as Guardians of Food Security and Water Resources in the Era of Climate Change

Relationship between the GABA Pathway and Signaling of Other Regulatory Molecules

GABA (gamma-aminobutyric acid) is an amino acid whose numerous regulatory functions have been identified in animal organisms. More and more research indicate that in plants, this molecule is also involved in controlling basic growth and development processes. As recent studies have shown, GABA plays an essential role in triggering plant resistance to unfavorable environmental factors, which is particularly important in the era of changing climate. The main sources of GABA in plant cells are glutamic acid, converted in the GABA shunt pathway, and polyamines subjected to oxidative degradation. The action of GABA is often related to the activity of other messengers, including phytohormones, polyamines, NO, H2O2, or melatonin. GABA can function as an upstream or downstream element in the signaling pathways of other regulators, acting synergistically or antagonistically with them to control cellular processes. Understanding the role of GABA and its interactions with other signaling molecules may be important for developing crop varieties with characteristics that enable adaptation to a changing environment.

Bibliometric Analysis and Ecological Challenges in the Era of Climate Change for Seagrass Conservation Research in Indonesia

Seagrass ecosystems in Indonesia provide essential ecological services, including carbon sequestration, marine biodiversity support, and coastal protection. However, these ecosystems face significant threats from human activities, climate change, and pollution. This study was conducted due to the lack of comprehensive analysis on seagrass conservation research trends in Indonesia, aiming to address this gap and provide insights that can enhance conservation strategies. This study utilizes bibliometric analysis to examine research trends in seagrass conservation in Indonesia from 2007 to 2024, identifying 118 publications with an annual growth rate of 18.53%. Key research topics include biodiversity conservation, seagrass roles in climate change mitigation, and the management of protected areas. This analysis highlights the need to address research gaps, such as limited studies on community-based conservation approaches and the impact of local policies on seagrass management. The findings indicate a growing awareness of seagrass functions, such as carbon storage and support for fisheries, but highlight ongoing challenges related to limited financial resources and public awareness. By applying bibliometric analysis, this study provides a crucial tool for evidence-based decision-making, enabling more targeted and effective conservation policies. Community perceptions and participation, especially through community-based conservation initiatives, are crucial for the success of seagrass conservation efforts. This study uniquely contributes to the field by offering a clear map of research trends and gaps, guiding future research and policy to more effectively address seagrass conservation challenges in Indonesia. The study emphasizes the need for adaptive management strategies and collaboration among stakeholders to overcome the challenges of seagrass conservation in Indonesia.

Genome‐Enabled Parameterization Enhances Model Simulation of CH4 Cycling in Four Natural Wetlands

AbstractMicrobial processes are crucial in producing and oxidizing biological methane (CH4) in natural wetlands. Therefore, modeling methanogenesis and methanotrophy is advantageous for accurately projecting CH4 cycling. Utilizing the CLM‐Microbe model, which explicitly represents the growth and death of methanogens and methanotrophs, we demonstrate that genome‐enabled model parameterization improves model performance in four natural wetlands. Compared to the default model parameterization against CH4 flux, genomic‐enabled model parameterization added another contain on microbial biomass, notably enhancing the precision of simulated CH4 flux. Specifically, the coefficient of determination (R2) increased from 0.45 to 0.74 for Sanjiang Plain, from 0.78 to 0.89 for Changbai Mountain, and from 0.35 to 0.54 for Sallie's Fen, respectively. A drop in R2 was observed for the Dajiuhu nature wetland, primarily caused by scatter data points. Theil's coefficient (U) and model efficiency (ME) confirmed the model performance from default parameterization to genome‐enabled model parameterization. Compared with the model solely calibrated to surface CH4 flux, additional constraints of functional gene data led to better CH4 seasonality; meanwhile, genome‐enabled model parameterization established more robust associations between simulated CH4 production rates and environmental factors. Sensitivity analysis underscored the pivotal role of microbial physiology in governing CH4 flux. This genome‐enabled model parameterization offers a valuable promise to integrate fast‐cumulating genomic data with CH4 models to better understand microbial roles in CH4 in the era of climate change.

Appraising challenges facing Zimbabwe’s building retrofitting for energy efficiency using structural equation model approach

PurposeIn the era of climate change, the need to ensure that buildings are energy efficient cannot be overemphasised. Studies have shown that building retrofitting can improve energy efficiency (EE) and sustainability. There may be hindrances to retrofitting for energy efficiency. Extant literature and policy documents on Zimbabwe suggest a better framework to help stakeholders manage their existing buildings by addressing challenges and policy inconsistencies. This study appraises and critically discusses the challenges facing retrofitting Zimbabwe’s buildings for energy efficiency.Design/methodology/approachThe research adopted a quantitative research design using a questionnaire survey distributed to the respondents knowledgeable in building retrofitting and energy efficiency in Zimbabwe. The data were analysed through various statistical approaches (descriptive and inferential). The inferential tests include the Shapiro–Wilk test, Kruskal–Wallis H-test, exploratory factor analysis and heterotrait-monotrait ratio analysis to develop the structural equation model that validated the challenges for retrofitting buildings.FindingsThe results revealed the challenges of retrofitting buildings for EE in Zimbabwe, and a structural equation model was developed that clustered the key challenges into three main groups. This includes inadequate finance to invest in energy, outdated building by-laws and the unavailability of raw materials to achieve energy efficiency.Originality/valueBy appraising the challenges facing retrofitting buildings for energy efficiency in Zimbabwe, this study provides insights into the contextual factors that can enhance energy efficiency and sustainability in other developing countries. The study’s practical implications will positively impact the Green Building Council and other stakeholders interested in improving energy efficiency in the built environment.

Review of the Benefits of Green Roofs

Green roofs installed on rooftop of buildings in urban communities have multiple environmental, economic, energy and social benefits. They promote the urban sustainability and the well-being of the local residents. The impact of green roofs in buildings, in the environment and in local communities have been studied. Green roofs remove atmospheric pollutants including carbon dioxide, release oxygen, mitigate the urban heat island effect, reduce the energy consumption in buildings, improve the rainwater management, promote urban agriculture, enhance urban green spaces and bring nature closer to local residents. The development of green roofs results in many benefits in the buildings that have been constructed as well as in the broader community. Their construction is financially subsidized in several countries due to their multiple external benefits. In the era of climate change and of sustainable development construction of green roofs in urban environments has multiple positive impacts. Therefore, local and municipal authorities should promote their construction in public and private buildings. The current work emphasizes the benefits of green roofs and it could be useful to policy makers, to public and municipal authorities as well as to architects, construction companies and buildings’ owners who should promote their development in urban communities.

The locust plagues of the Ming Dynasty in Shandong Province, China

In today’s era of unprecedented climate change, research on environmental changes and natural disasters remains crucial. Locust plagues, among the most devastating agricultural disasters, had a profound impact on ancient China, especially during the Little Ice Age. This study utilizes historical records of locust plagues, employing semantic quantification, index construction and spatial analysis, to explore their temporal distribution, spatial patterns, migration characteristics, and associations with climate factors in Shandong during the Ming Dynasty. Key findings include: (1) Locust plagues in Shandong were severe, with 599 documented occurrences, primarily in summer and autumn, especially from April to August. The frequency and intensity of these outbreaks increased significantly during the mid to late Ming Dynasty, peaking in the late Ming period. (2) Geographically, locust plagues were concentrated in the northern river regions of Shandong, particularly in cities like Jinan, Dezhou, and Weifang, with marked clustering, spatial heterogeneity, and positive spatial correlation. (3) Locust plagues were strongly linked to droughts, showing significant temporal and spatial synchrony, but had no significant correlation with floods. These plagues were more likely to occur during cooler and drier periods, with both temperature and precipitation significantly influencing their occurrence.

Chromosome-scale genome assembly of the tropical abalone (Haliotis asinina)

Abalone (family Haliotidae) are an ecologically and economically significant group of marine gastropods that can be found in tropical and temperate waters. To date, only a few Haliotis genomes are available, all belonging to temperate species. Here, we provide the first chromosome-scale abalone genome assembly and the first reference genome of the tropical abalone Haliotis asinina. The combination of PacBio long-read HiFi sequencing and Dovetail’s Omni-C sequencing allowed the chromosome-level assembly of this genome, while PacBio Isoform sequencing across five tissue types enabled the construction of high-quality gene models. This assembly resulted in 16 pseudo-chromosomes spanning over 1.12 Gb (98.1% of total scaffolds length), N50 of 67.09 Mb, the longest scaffold length of 105.96 Mb, and a BUSCO completeness score of 97.6%. This study identified 25,422 protein-coding genes and 61,149 transcripts. In an era of climate change and ocean warming, this genome of a heat-tolerant species can be used for comparative genomics with a focus on thermal resistance. This high-quality reference genome of H. asinina is a valuable resource for aquaculture, fisheries, and ecological studies.

Framework for resilience strategies in agricultural supply chain: assessment in the era of climate change

Climate change is significantly and enduringly impacting global agricultural supply chains (ASCs), underscoring the urgent need to enhance their climate resilience. This study aims to identify key strategies for building agricultural supply chain resilience (ASCRes) in the context of climate change and their interrelationships. Through a comprehensive literature review and expert consultations, a framework of 12 strategies was developed. Using survey data from 312 Chinese ASC companies, BP-DEMATEL-ISM and PLS-SEM methods were employed to conduct causal analysis and factor level evaluation. The results indicate that “diversification of agricultural products and supply chain (SC) networks,” “Agriculture 4.0 and digital transformation,” and “taking proactive climate action” are critical strategies to enhance ASCRes in the context of climate change. These findings can provide theoretical basis for farmers, ASC companies, and governments to cope with the impact of climate change, so as to build more robust ASC systems.

Accelerating wheat improvement through trait characterization: advances and perspectives.

Wheat (Triticum spp.) is a primary dietary staple food for humanity. Many wheat genetic resources with variable genomes have a record of domestication history and are widespread throughout the world. To develop elite wheat varieties, agronomical and stress-responsive trait characterization is foremost for evaluating existing germplasm to promote breeding. However, genomic complexity is one of the primary impediments to trait mining and characterization. Multiple reference genomes and cutting-edge technologies like haplotype mapping, genomic selection, precise gene editing tools, high-throughput phenotyping platforms, high-efficiency genetic transformation systems, and speed-breeding facilities are transforming wheat functional genomics research to understand the genomic diversity of polyploidy. This review focuses on the research achievements in wheat genomics, the available omics approaches,and bioinformatic resources developed in the past decades. Advances in genomics and system biology approaches are highlighted to circumvent bottlenecks in genomic and phenotypic selection, as well as gene transfer. In addition, we propose conducting precise functional genomic studies and developing sustainable breeding strategies for wheat. These developments in understanding wheat traits have speed up the creation of high-yielding, stress-resistant, and nutritionally enhanced wheat varieties, which will help in addressing global food security and agricultural sustainability in the era of climate change.

Building a resilient North Jakarta: Integrating social preferences for effective adaptation and mitigation strategy in the climate change era

Abstract The northern part of Jakarta, Indonesia, has been grappling with recurring floods due to climate change, affecting residents’ lives and livelihoods. Sea level rise, land subsidence, and increased precipitation increase the risk of river flooding. While the government has implemented physical flood mitigation measures, these alone are insufficient due to climate uncertainty. This 2017 study assesses socio-cultural risks in northern Jakarta and community preferences for climate change adaptation strategies. The study was conducted in 2017 and the study’s insights remain relevant to contributed as one of the scientific basis for the statutory planning of Jakarta to build the social resilience. Employing qualitative approaches, it collected data at mezzo and micro levels. Findings show that households adopt various private and public mitigation-adaptation measures. Most prefer elevating household items to higher ground (62.9%), while 44% favor maintaining the local drainage system and improving pumping facilities. However, 62% resist relocating to vertical houses, fearing job loss or increased expenses. Only 13% express willingness to relocate voluntarily for more comfortable housing. This resistance stems from the apprehension that such relocation might negatively impact their overall welfare, either by jeopardizing their employment opportunities or by increasing their monthly expenditures.

In-depth exploration of nanoparticles for enhanced nutrient use efficiency and abiotic stresses management: Present insights and future horizons

Nanotechnology is an innovative method of elevating agricultural output without sacrificing quality due to nanoparticles (NPs) unique characteristics and numerous potential uses. It is also nature-friendly, advantageous to living organisms, and cost-effective. Sustainable agricultural practices are gaining attention on NPs and nanofertilizers (NFs) as practical substitutes for traditional fertilizers and pesticides that nanotechnology could surpass some of the issues with traditional farming methods. There should be an emphasis on cutting-edge studies of NPs applications in agriculture. This article presents a positive perspective on the mechanisms leading to the formation of NPs and their application as NFs for managing nutrients in agriculture. We also share up-to-date findings on NPs interactions with plants, the fate of NPs and potential risks associated with them in plants. The as well as on the role of NPs nanomaterials in decreasing abiotic and heavy metal toxicity stress. NFs help reduce the environmental damage caused by traditional, inorganic fertilizers. Due to their enhanced responsiveness and ability to pierce the epidermis, NFs can decrease nutrient surplus while increasing nutrient usage efficiency. It was also established that NPs are essential for protecting against abiotic stress. However, some studies have shown that NPs are harmful to higher plants because the NPs they are deposited upon the surface of cells or in the cell organelles, leading to oxidative stress symptoms. In this review article, we explore the utilization of NPs for nutrient and abiotic stress management for crop production and protection during the climate change era.

Comparative Performance of Traditional and Improved Integrated Farming Systems in the Hills of Jammu &amp; Kashmir in the Era of Climate Change

Comparative Performance of Traditional and Improved Integrated Farming Systems in the Hills of Jammu &amp; Kashmir in the Era of Climate Change

Adaptation and Coping Strategies of Women to Reduce Food Insecurity in an Era of Climate Change: A Case of Chireya District, Zimbabwe

Adaptation and Coping Strategies of Women to Reduce Food Insecurity in an Era of Climate Change: A Case of Chireya District, Zimbabwe