Changing Face Research Articles

Transcriptomic insights into the antagonistic responses of Antarctic marbled rockcod, Notothenia rossii, to elevated temperature and acidification

The escalating impacts of climate change, particularly ocean acidification and warming, are pivotal stressors for marine ecosystems and have profound effects on biota in polar regions. This study investigated the immunological responses of the Antarctic fish Notothenia rossii to environmental stressors indicative of future ocean conditions under the Intergovernmental Panel on Climate Change Shared Socioeconomic Pathways 5–8.5 scenario for 2100. We exposed N. rossii to conditions simulating present-day conditions: control, elevated temperature, acidification, and both stressors combined over six days. Utilizing RNA-Seq for comprehensive gene expression analysis, we identified significant upregulation and downregulation of immune-related pathways, highlighting a complex interplay of genes involved in complement and coagulation cascades, the intestinal immune network for immunoglobulin A production, cytosolic DNA sensing, natural killer cell-mediated cytotoxicity, and Interleukin 17 signaling pathways. Our findings revealed a predominantly antagonistic gene expression response, suggesting an intricate balance between energy allocation for maintaining homeostasis and the capacity of the immune system to combat stressors. This reflects a potential adaptive mechanism to combined environmental stressors, underscoring the complexity of immune responses in N. rossii and suggesting both potential vulnerabilities and resilience in the face of climate change. This study provides critical insights into the immunological impacts of acidification and warming on Antarctic marine species, emphasizing the need for further research to unravel the mechanisms underlying these observed changes and inform conservation strategies for polar ecosystems in a changing global climate.

A practical framework for applied forestry assisted migration

Recent and projected changes in climate over this century pose an unprecedented threat to the health, diversity, and productivity of forest ecosystems. Forests have migrated and adapted to long-term changes in climate over thousands to millions of years; however, natural migration rates and adaptive responses of tree populations cannot match the rapid pace of current climate change. Consequently, more climate-informed approaches to reforestation are needed as current reforestation strategies using local seed sources may no longer be adequate to meet forest management objectives. Assisted migration is a climate change adaptation technique that can help maintain the ecosystem services and economic value that forests provide. Forestry assisted migration (FAM) focusses on the movement of populations of widespread, commercially, or ecologically important forest tree species within or just beyond their current ranges as a way to maintain forest productivity and health in the face of climate change. Although the forestry community recognizes FAM as a reforestation tool, guidance for planning and implementation of FAM is lacking and a framework that provides this guidance can prove useful to land managers with limited time and resources available who want to undertake FAM. We developed a practical framework (the FAM Framework) to provide a structured approach to ensure the most important considerations and best available science are utilized by land managers wanting to implement FAM on their land base. The FAM Framework incorporates multiple factors for the application of FAM in four sequential phases: assessment and analysis, climate-based plant material selection, seed procurement and deployment, and documentation and monitoring. The FAM Framework was tested by developing an assisted migration plan for the Superior National Forest, Minnesota (MN), and lessons learned from the development of this specific plan were used to revise and improve the FAM Framework for suitability across all lands. While originally designed to meet the needs of National Forest System land managers, it is relevant and applicable across the spectrum of land ownership because it incorporates consideration of critical elements in planning and implementing FAM on any landscape while facilitating adaptive management for active learning and future implementation.

Assessment of catchment water resources allocation under climate change in Luwombwa sub-catchment, Zambia

The uncertainty in climate change and high water demand pose pressure on the natural water resources supply. Not only does this require better understanding but also a call for immediate interventions, mitigation and adaptive measures. This study evaluates catchment water resources in the Luwombwa sub-catchment in Zambia through statistical analysis in the downscaling of past, present and future climatic variables from the CMIP6 climatic model. These variables are then integrated into WEAP - a semi-distributed hydrological and water evaluation model - to perform water demand and allocation scenario modelling. Mult-site calibration and validation were conducted on five selected micro-catchments within Luwombwa sub-catchment. The model performance was assessed usng the R2, NSE and PBIAS as the objective functions. Satisfactory values of 92 % for R2, 82 % for NSE and 6.9 % for PBIAS were achieved. This allowed for scenario modelling on water demand and allocation among competing users. Three future scenarios (2022–2050) were developed from the historical to baseline (1988–2022) and included state of water resources availability under climate change, expansion of irrigation area and impact of dam construction in the sub-catchment. The study reveals a decrease of 20 % in sub-catchment's water availability resulting from 9.3 % (equivalent to 4oC) rise in maximum temperature and 4.5 % reduction in rainfall within the entire sub-catchment. This is especially under the persistence of SSP370 climate variability scenario projections downscaled from four GCM models by the year 2050. The study further revealed that the change point for anticipated future climate extremes is likely to occur between 2027 and 2030. The results are indicative of downward trends in streamflow under climate change and socioeconomic development leading to increase in water value and water scarcity. The insights from the study are critical to inform formulation of effective catchment water resources management strategies such as the development of management plans and adapation measures in the face of climate change and the needs for different stakeholders involvement.

MARKETING ESTRATÉGICO: LANÇAMENTO DE SABONETE HIDRATANTE

the purpose of the work was to demystify the notion that just having a good idea is enough to make a profit. A thought, in itself, very shallow in the face of constant social changes and the yearnings of an increasingly selective market in the art of buying. Strategic preparation is necessary to get out of the cogitation plan and successfully migrate to the real plan. It is necessary to be aware of unexpected facts, of negative-looking impacts, which, if properly used, can be the window of opportunity for the rescue of products seen as secondary as soaps. In times of pandemic, where healthy hygiene habits were emphasized, such as simple hand washing, these products were seen as allies in times of great uncertainty and uncertainty. Thus, for the launch of the moisturizing soap, a theoretical basis was used to support the established marketing actions with a double benefit. Make the product attractive in the consumer market, by giving it visibility and meeting public expectations with the effective financial return to the company.

Spatiotemporal Variability in Snow and Land Cover in Sefid-Rud Basin, Iran

Snow cover has a key role in balancing the Earth’s surface temperature and can help in filling rivers and reservoirs. In this study, 8-day MOD10A2 images are employed to monitor the spatiotemporal changes in snow cover in the Sefid-Rud basin and its eleven sub-basins during 2000–2019. The non-parametric Mann–Kendall (MK) test and its associated Sen’s slope estimator are utilized to estimate the trends in annual, seasonal, and monthly snow cover changes. The Sen’s slope results show a decrease in the snow cover for the basin, statistically significant toward the central and southern parts of the basin. In the winter season, a decreasing trend is observed, where its decreasing rate is higher than the annual rate. The trends in the calendar months are like the seasons, i.e., December, January, and February exhibit a decreasing trend, like the winter season. The Goltapeh-Zarinabad and Ghorveh-Dehgolan sub-basins show decreasing snow cover rates of −0.51 and −0.68 (%/year) during 2000–2019, respectively, the only two sub-basins whose gradients are statistically significant at the 95% confidence level. The Pearson correlation analysis between elevation and snow cover for each year shows that the highest and lowest correlations are 0.81 for 2007 and 0.59 for 2017. Finally, analysis of the MCD12Q1 land cover data shows that a significant portion of non-vegetated lands have turned into grasslands, mainly in the central part of the basin, where the significant gradual snow cover decline is observed. The results can guide stakeholders and policymakers in the development of a sustainable environment in the face of climate change.

Urban Heat Island and Environmental Degradation Analysis Utilizing a Remote Sensing Technique in Rapidly Urbanizing South Asian Cities

Rapid urbanization in South Asian cities has triggered significant changes in land use and land cover (LULC), degrading natural biophysical components and intensifying urban heat islands (UHIs). This study investigated the impact of LULC changes on land surface temperature (LST) and the role of biophysical indicators in enhancing urban resilience to thermal extremes. We used Landsat satellite imageries from 1993 to 2023, conducted a comprehensive analysis of LULC changes, and estimated LST variations at 6-year intervals in the Dhaka, Gazipur, and Narayanganj districts in Bangladesh. Afterward, we performed statistical analysis upon employing correlation, regression, and principal component analysis (PCA) techniques to summarize information. The results reveal that 339.13 km2 worth of urban expansion has occurred in last 30 years, with an average annual growth rate of 3.5%, accompanied by a substantial reduction in water bodies (−139.17 km2) and vegetation cover. Consequently, summer temperatures exceeded approximately 36.52 °C in dense urban areas. Also, the results highlighted the strong influence of built-up areas (BSI and SAVI) on LST, while vegetation (NDVI) and water indices (NDWI) exhibited a negative association. The findings emphasize the urgency of integrating green infrastructure and deploying sustainable urban planning policies to mitigate the potential adverse impacts of scattered urbanization in the face of climate change.

A literature review: rainfall thresholds as flash flood monitoring for an early warning system

ABSTRACT Flash floods, increasingly common and impactful, can be better managed through effective early warning systems. This study reviews methods for determining rainfall thresholds using empirical, hydrological, and machine learning approaches. Empirical methods, based on historical data, identify patterns between rainfall and floods but struggle with spatial and temporal variations. Hydrological methods, which consider watershed characteristics, offer greater accuracy but require detailed data. Machine learning, with its capacity for real-time, adaptive analysis of big data, shows promise for improving predictions. Integrating these approaches can enhance early warning systems, making them more effective in the face of climate change and significantly reducing the impact of flash floods.

Earthworms as Catalysts for Climate-Resilient Agriculture: Enhancing Food Security and Water Management in the Face of Climate Change

Earthworms as Catalysts for Climate-Resilient Agriculture: Enhancing Food Security and Water Management in the Face of Climate Change

5.D. Scientific session: Climate Change and Inequalities: Addressing Intersections and Impacts

Abstract Climate change poses one of the greatest challenges of our time, with far-reaching implications for environmental sustainability, social equity, and economic development. In recent years, growing attention has been paid to the intersecting dynamics between climate change and inequalities, recognizing that vulnerable populations are disproportionately affected by climate-related risks and impacts. This workshop aims to explore the multifaceted relationship between climate change and inequalities and examine the root causes of disparities. In this workshop we will explore intersectionality by examining how climate change intersects with various forms of inequality, including socio-economic and health status, gender, age, indigenous status, and geography, shaping differential vulnerabilities and experiences of climate impacts. This workshop aims to facilitate dialogue, knowledge exchange, and collaboration among public health researchers and professionals. We offer a unique opportunity to deepen our understanding of the complex interplay between climate change and inequalities, shedding light on overlooked aspects [?]. By bringing together diverse perspectives and expertise, the workshop aims to generate actionable insights and solutions that promote social justice, sustainability, and human rights in the face of climate change. The presentations in this workshop are thematically interconnected, addressing key aspects of climate change and inequalities from multiple angles. Topics include: Gender and climate justice, Climate change adaptation equity, Legal perspectives on climate change and inequalities and Climate Change Impacts on Respiratory Health. In conclusion, this workshop serves as a critical platform for advancing understanding, dialogue, and action on the intersection of climate change and inequalities. Key messages • Climate change interacts with socio-economic, health, gender, age, indigenous status, and geography, influencing vulnerabilities and impacts. • Vulnerable populations bear a disproportionate burden of climate change effects, including individuals with pre-existing lung conditions and children.

4.Y.1. Climate trauma, public protest and the ethics of civil disobedience in our warming world

Abstract Eco-anxiety, defined as “a chronic fear of environmental dooms,” is related to both a direct experience of extreme weather events (e.g., floods, wildfires, hurricanes, droughts) as well as environmental changes. Although it is not yet being addressed as a proper disease, eco-anxiety is being related to symptoms such as obsessive thoughts about the climate and the total destruction of the planet, existential fear and feelings of guilt about one’s own carbon footprint, anger, frustration, depression, and anxiety, among others. Eco-anxiety is increasingly reported among children and young people (Hickman et al, Lancet Planetary Health, 2021). Less studied and understood is climate trauma at a societal level resulting from the ever-present, ever-growing threat of climate change.This session aims to facilitate a better understanding of the mechanisms that lead to this symptomatology as well as the reasons for our apparent collective paralysis as a society to act in accordance with the climate threats we face. This analysis will take into account aspects linked to cultural diversity and structural factors that can rationalise the inaction. Particularly following the COVID-19 pandemic, many states have introduced or strengthened laws restricting the right to protest, with implications for public protest about state inaction on climate change. The workshop also aims to address questions such as: Are public protest and civil disobedience rational responses to the climate crisis? Should health professionals protest publicly? How has eco-anxiety been used as a legal defence to criminal charges? How should professional accreditation bodies respond when a member is convicted in a climate protest? Is deregistration appropriate, or should we instead be hastening to revise professional codes of ethics and public health training curriculums to reflect ‘the single biggest threat facing humanity’? (WHO, 2021). In the United Kingdom, the UK Health Alliance on Climate Change has urged the General Medical Council ‘to be as lenient as the law allows’ with health professionals convicted of offences resulting from their protests against damage to nature, the climate, and health. Three expert panellists in mental health, law and ethics will present their perspectives in Pecha Kucha format. Key messages • Climate trauma at societal level may account for our collective paralysis in the face of climate change: yet political, structural and cultural factors must not be overlooked. • Ethical codes and training curriculums for public health professionals must be updated to reflect the evolving roles of PHP in response to climate change. Speakers/Panelists Jutta Lindert Hochschule Emden-Leer, Emden, Germany David Patterson University of Groningen, Groningen, Netherlands Farhang Tahzib Faculty of Public Health, Haywards Heath, UK

Implementation of the YOLO Method for Detection of Human Emotions Based on Facial Mimics

Emotion detection through facial expression recognition plays an important role in everyday life, such as how to respond correctly to emotional expressions in social interactions, so that you can establish and build verbal or nonverbal communication with other people and so on. Facial expressions are facial changes in response to a person's emotional state, intentions, or social communication. Face detection is the first step that must be taken in facial analysis, including facial expression recognition. There are many methods that can be used to carry out the face detection process, such as the YOLO method. This YOLO method reframes object detection as a single regression problem, directly from image pixels to bounding box coordinates and class probabilities. By using the YOLO method, the process only needs to look once at the input image, to predict what objects are in the image and where those objects are. Based on the results of the tests carried out, the YOLO method can be used to detect human facial expressions with a success rate of 80%, with neutral, surprise and disgust facial expressions having a good level of accuracy and fear facial expressions having a poor accuracy level. The YOLO method is able to detect facial expressions of humans who wear accessories such as glasses.

The Spatiotemporal Dynamics of Temperature Variability Across Mts. Qinling: A Comparative Study from 1971 to 2022

Analyzing the spatiotemporal patterns of atmospheric temperature in sensitive areas is critically important for understanding the broader implications of global climate change, which remains a prominent topic in geosciences. It also plays a crucial role in advancing sustainable development. This study utilized daily minimum, maximum, and mean temperature data from twelve meteorological stations across the South and North Mts. Qinling (Qinling Mountains). Employing trend analysis, the Mann–Kendall mutation test, and Morlet wavelet analysis, we explored the predominant temperature trends and characteristics from 1971 to 2022. Our findings revealed consistent inter-annual warming trends in both regions, with more rapid temperature increases in the North compared to the South. Notably, significant shifts occurred in 2003 for both mean and minimum temperatures in the North, while the maximum and minimum temperature values were recorded in the 2010s and 1980s, respectively. Both regions exhibited a primary temperature fluctuation cycle of 28 years. Seasonally, the strongest warming effects appeared in spring, with the weakest in autumn, and moderate effects in winter and summer, indicating that spring contributes most significantly to regional warming. Monthly analysis showed positive temperature trends across all months, with higher rates in the North. The weakening temperature boundary effect of the Mts. Qinling suggested a weakening North–South division, particularly highlighted by the northward shift of the 1 °C isotherm curve for the coldest month, moving away from the previously observed 0 °C isotherm. This northward shift highlights the differential warming rates between the northern and southern regions. Overall, the analysis confirms a robust warming trend, with notable fluctuations in January’s temperatures since 1998, suggesting the Mts. Qinling’s emerging role as a climatic divider in the Chinese Mainland. This introduces new challenges for regional ecosystems, agricultural production, and water resource management, highlighting the pressing need to advance regional sustainable development in the face of climate change.

The Vulnerability of Malagasy Protected Areas in the Face of Climate Change

This study examines the vulnerability of Madagascar’s protected areas (PAs) to climate change, focusing on climate change velocity, and its impact on biodiversity. We analyzed current and near future climate data using principal component analysis (PCA) and climate change velocity metrics to predict shifts in climatic conditions from the present to the near future, while under the mild and extreme emission scenarios (SSP 126, SSP 585). Forward velocities, which are characterized by the minimum distances that must be overcome by species to keep in track with their appropriate comparative climate, are most pronounced in western and southern Madagascar. In contrast, the backward velocity, which uses future climatic conditions in grid cells in comparison to current conditions, is more common in the eastern regions of the island, and hints at the minimum distance that organisms would have to overcome in colonizing a new habitat. Even though the correlations between PA size and climate change velocity are weak, there is a tendency for larger PAs to exhibit more stable climatic conditions. Conservation strategies must prioritize enhancing the resilience of PAs through adaptive management to mitigate climate impacts. Our findings provide crucial insights for policymakers and conservation planners to develop climate-smart strategies that ensure the long-term efficacy of Madagascar’s PA network.

Human Health Adaptation Strategies to Climate-Induced Extreme Weather Events: A Systematic Review

This systematic review evaluates the health impacts of climate-induced extreme weather events and the effectiveness of various adaptation strategies. Seventeen studies were analyzed, focusing on adaptation measures such as agricultural adjustments, renewable energy, ecosystem restoration, infrastructure redesign, and public health interventions. Significant health impacts were identified, including increased morbidity and mortality due to heatwaves, floods, and vector-borne diseases. The success of adaptation strategies was found to be highly dependent on local context, implementation capacity, and sustainability. This review underscores gaps in data quality, the generalizability of findings, and the integration of adaptation measures into public health policies. An urgent need exists for interdisciplinary approaches and community engagement to ensure sustainable, equitable health outcomes in the face of climate change. Future research should focus on these areas to strengthen public health resilience.

Physiological and morphological traits affect contemporary range expansion and implications for species distribution modelling in an amphibian species.

Species range shifts due to climate alterations have been increasingly well-documented. Although amphibians are one of the most sensitive groups of animals to environmental perturbations due to climate change, almost no studies have offered evidence of poleward distribution shifts in this taxon in response to climate warming. Range shifts would be facilitated by variation in traits associated with the ability of species to persist and/or shift their range in the face of climate change, but the extent and consequences of intraspecific variation in these traits is unclear. We studied the role of intraspecific variation in the ongoing range shift of green treefrogs (Hyla cinerea) in response to climate change. We explored factors that are often associated with range shifts to test the hypothesis that there are differences in these traits between recently range-expanded and nearby historical populations. We then tested the consequences of intraspecific variation for modelling climate-induced range shifts by comparing species distribution models (SDMs) that used as input either data from the entire species range or separate inputs from 'subpopulations' corresponding to the historical range or the recently expanded range. We expected that building a separate SDM for each population would more accurately characterize the species range if historical and expanded populations differed in traits related to their response to climate. We found that critical thermal minimum decreased and thermal breadth increased with latitude, but the effect of latitude was significantly stronger for expanded populations compared to historical populations. Additionally, we found that individuals from expanded populations had longer leg lengths when compared to their historical counterparts. Finally, we found higher model accuracy for one of the population-level SDMs than the species-level SDM. Our results suggest that thermal tolerance and dispersal morphologies are associated with amphibian distributional shifts as these characteristics appear to facilitate rapid range expansion of a native anuran. Additionally, our modelling results emphasize that SDM accuracy could be improved by dividing a species range to consider potential differences in traits associated with climate responses. Future research should identify the mechanisms underlying intraspecific variation along climate gradients to continue improving SDM prediction of range shifts under climate change.

Promoting Sustainability: Collaborative Governance Pathways for Virtual Water Interactions and Environmental Emissions

This study explores the water consumption and greenhouse gas (GHG) emissions in the Yarkand River Basin, focusing on their dynamic interactions across industrial sectors. Utilizing environmental input–output analysis (IOA), the CROPWAT model, and life cycle assessment (LCA), we quantified the historical evolution of physical and virtual water cycles in relation to the water–carbon nexus. Our findings reveal that the planting industry, particularly the production of export-oriented, water-intensive crops like cotton, significantly contributes to both blue and green water consumption, exacerbating regional water scarcity. The persistent external market demand drives this over-extraction, further strained by the basin’s limited water retention capabilities. Although advancements have been made in reducing the per-unit water footprint of crops, total water consumption continues to rise due to agricultural expansion, intensifying pressure on blue water resources. Additionally, agricultural GHG emissions have surged, driven by increased electricity consumption, heavy fertilizer use, and escalating soil N2O emissions. In light of these challenges, our research underscores the critical need for integrated resource management strategies that align with sustainable development goals. By promoting efficient water allocation within the agricultural sector and diversifying crop structures downstream, we can enhance ecosystem resilience and reduce environmental degradation. Furthermore, the advancement of value-added agricultural processing and the implementation of innovative water conservation technologies are essential for fostering economic sustainability. These strategies not only mitigate the environmental impacts associated with agricultural practices but also strengthen the region’s adaptive capacity in the face of climate change and fluctuating market demands. Our findings contribute to the broader discourse on sustainable agricultural practices, emphasizing the interconnectedness of water management, climate resilience, and economic viability in arid regions.

Predicting and assessing the impacts of COVID-19 disruption on marine science and sectors in Australia

AbstractBy March 2020 coronavirus disease 2019 (COVID-19) was anticipated to present a major challenge to the work undertaken by scientists. This pandemic could be considered just one of the shocks that human society has had and will be likely to confront again in the future. As strategic thinking about the future can assist performance and planning of scientific research in the face of change, the pandemic presented an opportunity to evaluate the performance of marine researchers in prediction of future outcomes. In March 2020, two groups of researchers predicted outcomes for the Australian marine research sector, and then evaluated these predictions after 18 months. The self-assessed coping ability of a group experienced in ‘futures studies’ was not higher than the less-experienced group, suggesting that scientists in general may be well placed to cope with shocks. A range of changes to scientific endeavours (e.g., travel, fieldwork) and to marine sectors (e.g., fisheries, biodiversity) were predicted over the first 12–18 months of COVID-19 disruption. The predicted direction of change was generally correct (56%) or neutral (25%) for predictions related to the scientific endeavour, and correct (73%) or mixed (9%) for predictions related to sectors that are the focus of marine research. The success of this foresighting experiment suggests that the collective wisdom of scientists can be used by their organisations to consider the impact of shocks and disruptions and to better prepare for and cope with shocks. Graphical abstract Word cloud analysis of free text responses to questions about expected impact of COVID-19 on the activities associated with marine science

A Financial Analysis and Valuation of Apple, Inc.

Abstract: This paper will take an in-depth look at Apple's financial performance and provide a detailed comparative analysis with its main competitors. Apple, as the world's leading technology giant, has always been known for its innovative products and strong market influence. However, in an increasingly competitive tech industry, continued financial health is key to its success. This paper first compares the performance of Apple and its competitors in key financial indicators such as liquidity, debt repayment ability and profitability. This comparison not only reveals Apple's financial position in the industry, but also helps us understand its robustness in responding to market movements. Next, this paper analyzes Apple's financial report of the latest year in detail, and deeply discusses the change trend of its revenue, expenditure, profit and other key financial data. This analysis is able to capture Apple's financial performance and strategy in the face of global economic fluctuations and changes in market demand. Finally, this paper will discuss Apple's business strategy and the business risks it faces. This includes its product innovation strategy, market expansion plans and potential risks due to factors such as technological change, market competition and global policy changes. Through a comprehensive analysis of Apple's business model and go-to-market strategy, this paper aims to provide a comprehensive perspective on how Apple can maintain its leadership position in a dynamic market.

Integrating ESG Principles into Environmental Education: Opportunities and Challenges in the MENA Region

The Middle East and North Africa (MENA) region grapples with pressing environmental challenges such as water scarcity, desertification, and climate change. However, within these challenges lies the potential for sustainable development. A paradigm shift in environmental education for sustainable development is imperative to address these issues effectively. Environmental education plays a crucial role in instilling resilience in the face of climate change and natural disasters that increasingly impact the region. Redefining EE through Environmental, Social, and Governance (ESG) can act as a catalyst for positive change. Integrating ESG principles into education empowers citizens not only to understand environmental issues but also to lead sustainable lives and contribute to the sustainable development goals (SDGs). Accessibility to environmental education should be universal, transcending gender, socioeconomic status, and geographical location. Leveraging technology and digital platforms can significantly enhance the reach and impact of environmental education. Methodologically, this article employs a conventional literature review approach, conducting a desktop research to comprehensively examine the existing body of publications related to environmental education for sustainable development in the MENA region. The review explores current environmental educational approaches applied to achieve sustainable development in the MENA region. Subsequently, it introduces alternative approaches that leverage ESG principles consistent with the Sustainable Development Goals, aiming to redefine the current status quo. The article concludes by emphasizing the need for a paradigm shift in environmental education in the MENA region through the integration of ESG principles into the curriculum, promotion of collaborative governance and inclusivity, the region can nurture a new path of environmentally conscious citizens poised to contribute to sustainable development.

Warming exacerbates global inequality in forest carbon and nitrogen cycles

Forests are invaluable natural resources that provide essential services to humanity. However, the effects of global warming on forest carbon and nitrogen cycling remain uncertain. Here we project a decrease in total nitrogen input and accumulation by 7 ± 2 and 28 ± 9 million tonnes (Tg), respectively, and an increase in reactive nitrogen losses to the environment by 9 ± 3 Tg for 2100 due to warming in a fossil-fueled society. This would compromise the global carbon sink capacity by 0.45 ± 0.14 billion tonnes annually. Furthermore, warming-induced inequality in forest carbon and nitrogen cycles could widen the economic gap between the Global South and Global North. High-income countries are estimated to gain US$179 billion in benefits from forest assets under warming, while other regions could face net damages of US$31 billion. Implementing climate-smart forest management, such as comprehensive restoration and optimizing tree species composition, is imperative in the face of future climate change.