Increased Greenhouse Gas Emissions Research Articles

Sustainable Intensification and Climate Resilience in the Rice-wheat Cropping System of North-Western India: Challenges and Strategies

In northwestern India, the rice-wheat cropping system (RWCS) is a key component of agriculture. However, the region's ongoing usage of it has resulted in serious problems and a halt in productivity. Similar problems are also present in Bangladesh, Nepal, and Pakistan's Indo-Gangetic Plains. Key issues include the loss of soil nutrients, deteriorating soil health, groundwater depletion, increased production costs, a lack of workers, pollution from burning crop residue, increased greenhouse gas emissions, climate vulnerabilities, and plants that are resistant to herbicides. To address these issues, a number of sustainable intensification methods have been proposed, such as crop diversification, zero tillage, or residue retention, which reduce tillage, handle straw more efficiently, and use less labour and irrigation. In order to adopt successful, context-specific tactics, it is necessary to concentrate on increasing awareness, developing stakeholder capacity, and coordinating policies. The current status of the RWCS and its problems in northwest India are summarised in this report, along with specific management strategies for boosting output, profitability, and sustainability.

Life Cycle Assessment of Methanol Production from Municipal Solid Waste: Environmental Comparison with Landfilling and Incineration

Inadequate waste management strategies play a significant role in exacerbating environmental challenges, such as increased greenhouse gas emissions, resource depletion, and other adverse ecological impacts. These issues are aggravated by the global rise in municipal solid waste (MSW) generation, surpassing the rate of population growth. Simultaneously, there is an urgent demand for sustainable energy solutions to combat climate change and its wide-ranging impacts. In response, this study addresses a critical question: is methanol production from MSW, a waste-to-chemical (WtC) alternative based on circular economy principles, a more environmentally sustainable approach compared to traditional waste-to-energy (WtE) methods like landfilling with biogas recovery and incineration? To answer this, this study evaluates the environmental performance of MSW-to-methanol technologies using life cycle assessment (LCA), focusing on key indicators such as global warming potential, resource depletion, and impacts on human health and ecosystem quality. The results reveal that methanol production from MSW significantly reduces global warming potential (GWP) by 87% compared to landfilling and 56% compared to incineration. Additionally, the process demonstrates high energy efficiency in electricity generation, achieving 80% of the output of incineration. These findings position MSW-to-methanol as a promising alternative for advancing sustainable waste management and renewable energy transitions. While the technology is still in its developmental stages, this research highlights the need for further advancements and policy support to enhance feasibility and scalability. By providing a comparative environmental analysis, this study contributes to identifying innovative pathways for addressing pressing waste management and energy sustainability challenges.

Effects of maternal curcumin nano-micelle supplementation on transitioning ewes and their offspring: Performance, health biomarkers, and environmental impacts during heat stress.

This study examined the impact of curcumin nanomicelles (CNM) supplementation on transitioning ewes and their offspring. Thirty-two crossbred pregnant ewes [Ile-de-France×(Dalagh×Romanov)], confirmed to carry twins, were randomly assigned to a control group (CTRL) or a treatment group receiving 40mg of CNM per ewe per day. Supplementation began before and continued after delivery. We assessed various parameters, including growth performance, metabolic health, inflammatory markers, hematological profiles, immunoglobulin levels, antioxidant status, and greenhouse gas emissions. CNM supplementation improved growth in both ewes and lambs, consistent with curcumin's known metabolic effects. Significant reductions in inflammatory markers were observed in both ewes and lambs, with decreased neutrophil-to-lymphocyte ratios indicating reduced systemic inflammation. Increased levels of IgG and IgA in both ewes and lambs suggested improved immune competence. Antioxidant biomarkers indicated better management of oxidative stress, with some benefits extended to offspring. CNM had varying effects on methanogen populations and nitrous oxide emissions. It significantly reduced methanogen numbers postpartum, but had no significant effect pre-partum. A slight increase in N2O emissions was observed before delivery, but was not sustained after delivery. These results underscore the complex interactions of metabolic, immunological, and environmental factors influenced by CNM supplementation during the transition period. More research is needed to refine supplementation strategies, evaluate long-term effects, and explore ways to mitigate increased greenhouse gas emissions while preserving health benefits.

Examining the impact of globalization and natural resources on environmental sustainability in G20 countries

The G20 countries are responsible for around 75% of the world’s greenhouse gas (GHG) emissions, including the use of natural resources. In this regard, the role of globalization in achieving environmental sustainability is a relatively new topic of concern. As a result, the present study considers how globalization and natural resources affect GHG emissions, as well as the roles that renewable energy consumption and urbanization play in the G20 countries between 1990 and 2020. Moreover, this research utilizes advanced panel data estimation methods to assess these interrelationships, like CUP-FM and CUP-BC methods. The study finds that globalization and natural resource use contribute to increased GHG emissions, with a more pronounced effect in high-income countries because most of the countries have extended carbon taxes or emissions trading systems in the last few years. Conversely, the adoption of renewable energy is associated with a reduction in emissions, underscoring the importance of transitioning to cleaner energy sources. Urbanization trends also correlate positively with GHG emissions, highlighting the environmental impact of rapid urban growth, particularly in middle-income countries. These results underscore the need for targeted policy interventions. High-income countries should intensify efforts to reduce emissions through renewable energy and stricter regulations on resource consumption. While, middle-income countries require support to manage urbanization and adopt sustainable practices. This study provides crucial insights into the complex dynamics of globalization, resource use, and sustainability, offering valuable guidance for policymakers and researchers engaged in environmental management and climate change mitigation.

Using Ground‐Penetrating Radar to Infer Ice Wedge Characteristics Proximal to Water Tracks

AbstractMassive ground ice in Arctic regions underlain using continuous permafrost influences hydrologic processes, leading to ground subsidence and the release of carbon dioxide and methane into the atmosphere. The relation of massive ground ice such as ice wedges to water tracks and seasonally saturated hydrologic pathways remains uncertain. Here, we examine the location of ice wedges along a water track on the North Slope of Alaska using Ground‐Penetrating Radar (GPR) surveys, in situ measurements, soil cores, and forward modeling. Of nine unique GPR surveys collected in the summers of 2022 and 2023, seven exhibit distinctive “X”‐shaped reflections above columnar reflectors that are spatially correlated with water track margins. Forward modeling of plausible geometries suggests that ice wedges produce reflection patterns most similar to the reflections observed in our GPR profiles. Additionally, a large magnitude (∼71 mm) rain event on 8 July 2023 led to a ground collapse that exposed four ice wedges on the margin of the studied water track, ∼100 m downstream of our GPR surveys. Together, this suggests that GPR is a viable method for identifying the location of ice wedges as air temperatures in the Arctic continue to increase, we expect that ice wedges may thaw, destabilizing water tracks and causing ground collapse and expansion of thermo‐erosional gullies. This ground collapse will increase greenhouse gas emissions and threaten the Arctic infrastructure. Future geophysical analysis of upland Arctic hillslopes should include additional water tracks to better characterize potential heterogeneity in permafrost vulnerability across the warming Arctic.

Forecasting CO₂ Emissions with Machine Learning Methods: Türkiye Example and Future Trends

Climate change is a critical problem that causes global environmental and social issues due to increased greenhouse gas emissions caused by human activities. Carbon dioxide (CO₂) emissions, in particular, are one of the main elements of global warming and have devastating effects on ecosystems. Keeping track of carbon dioxide emissions resulting from human activities like burning fossil fuels, clearing forests, and farming, as well as forecasting their future patterns, is essential for creating effective sustainable environmental strategies. The study utilized machine-learning models to evaluate CO₂ emissions per individual, using the dataset from the Global Carbon Atlas that has released in 2023. In the study, the traditional ARIMA model and deep learning-based LSTM networks were comparatively discussed. The models were trained with the aim of predicting Türkiye's future CO₂ emission levels by learning from past data, and their performances were evaluated with MAE, MSE, RMSE, and R² metrics. The LSTM model achieved an R² score of 90.4%, while the ARIMA model achieved an R² score of 94.3%. The findings show that machine learning techniques are a powerful tool in the fight against climate change and provide valuable insights for policymakers. The findings of the study guide more effective monitoring of CO₂ emissions and determination of strategies for sustainable development goals.

Monthly and annual oscillation of methane and ozone in eastern India using Sentinel-5P TROPOMI: assessment and validation.

The eastern India has greater Global Warming Potential with increased greenhouse gases emissions due to extensive rice production, coal burning, and rapid urbanization. The present study aimed to assess the monthly and annual dynamics of methane and ozone over the eastern Indian sates from February, 2019 to February, 2024 using Sentinel-5P Tropospheric Monitoring Instrument (TROPOMI). Chhattisgarh recorded the lowest concentration in most of the years. Chhattisgarh experienced the maximum growth in methane content by 3.41% followed by Bihar with 2.44% growth from 2019 to 2023. Although West Bengal recorded the highest average annual methane concentration, the methane growth is the minimum over the state with 1.87%. Periodical oscillation of methane concentration was characterized by the pre-monsoon (March-May) low and post-monsoon (September-November) high. Cloud interference during monsoon months caused data gap. In all the districts except Bihar, ozone concentration increased from 2019 and continued to rise up to 2022 followed by a subsequent decline in 2023. Linear trend of annual mean ozone concentration revealed a non-significant rising trend. Ozone concentration was found to be the minimum during post-monsoon months and the maximum during pre-monsoon months indicating a seasonal oscillation. Atmospheric Infrared Sounder (AIRS) and Ozone Monitoring Instrument (OMI) generated datasets were used to validate the methane and ozone concentration respectively obtained from TROPOMI observations. AIRS and TROPOMI datasets exhibited a good agreement with a correlation coefficient (r) of 0.45 and coefficient of determination (R2) of 0.204. On the other hand, OMI and TROPOMI showed an excellent agreement with an r value of 0.99 and an R2 value of 0.978. The study assessed the spatial and temporal pattern of methane and ozone content in the recent times which helps the planners and policy makers to understand the trends and to develop effective mitigation strategies.

Report on climate and climate change on the East Coast of the United States

In the context of global climate change such as rising sea level, rising temperature, and increasing greenhouse gas emissions, according to the climate change of the East Coast of the United States in recent years, the report analyzes the current impact and future trends of four cases on the East Coast of the United States through relevant data and models: The damage scale of Atlantic hurricanes increases year by year, with increased vertical growth and carbon sequestration capacity of coastal wetlands, increased Vibrio vulnificus infection, and increased flood disasters. The relationship between human activities and climate change cases is explored. In the end, different specific recommendations are made based on the four major climate change phenomena on the East coast of the United States. And put forward the "forest vegetation restoration" plan, hoping to adjust the negative impact of climate change in the region through this plan.

Analysis of air temperature change trends and their impacts in Australia

Global climate change has become a major challenge of our time, affecting ecosystems, weather patterns, and human activities across the globe. In this paper, we analyze the causes and effects of climate change by looking at Australia, in particular, summer temperature trends in the Melbourne region over the past 20 years. By examining historical data and considering the current situation, this paper makes recommendations to address these challenges. The relevant data shows a general increase in average summer temperatures in Melbourne and across Australia from 2003 to 2023. The main factors contributing to these fluctuations include global climate change, human activity, and urbanization. Continued temperature increases are primarily caused by global warming, exacerbated by increased greenhouse gas emissions from human activities and the urban heat island effect. The impacts of climate change on Melbourne and Australia are multifaceted, affecting public health, water management, energy demand, ecosystems, and agriculture. After analyzing Australia's overall climate, this paper proposes measures to improve it, such as reducing greenhouse gas emissions, increasing urban resilience, improving public health security, protecting and restoring ecosystems, and promoting scientific research and education.

Sustainable Cycling: Boosting Commuting and Tourism Opportunities in Istria

This study explores the evolution of cycling in Istria, a region located in parts of Slovenia and Croatia along the Northern Adriatic coast, recognised for its vibrant tourism sector. The research aims to evaluate the potential of cycling for both daily commuting and tourism while examining its economic, environmental, and social impacts. The study uses secondary data from 2010 to 2023, econometric methods, and interviews to assess how cycling contributes to economic growth, regional collaboration, employment rates, and greenhouse gas (GHG) emissions. In Slovenia, regression analysis indicates that bicycle imports positively correlate with tourist arrivals, which positively influences GDP. However, VAR analysis shows that employment has a negative impact on GHG emissions. In contrast, the increase in bicycles contributes to higher GHG emissions, suggesting the possibility of greenwashing or double pollution. In Croatia, regression coefficients were found to be insignificant, aligning with insights gained from interviews. Nonetheless, VAR analysis reveals that tourist arrivals and GDP positively reinforce each other, while GHG emissions negatively affect employment. Bicycles are shown to reduce GHG emissions, and tourist arrivals are also associated with lowered GHG emissions. The study concludes that cycling holds significant potential for fostering sustainable tourism and regional development; however, the differing impacts observed in Slovenia and Croatia necessitate tailored policy interventions. The hypothesis is partially confirmed in Slovenia, where bicycle imports positively impact tourist arrivals and GDP but are challenged by increased GHG emissions, while in Croatia, the hypothesis is not supported by direct economic gains from cycling. However, bicycles contribute to reducing GHG emissions.

Assessing the Biogas Potential of Slaughterhouse Waste in Tenerife: A Sustainable Approach to Waste Management in an Outermost European Region

The Canary Islands, as an outermost region of Europe with fragmented territory, benefit from an exemption under Commission Regulation (EU) No 142/2011 allowing for animal by-products disposal in landfills. However, this practice has resulted in environmental and economic challenges, including reduced landfill capacity, increased greenhouse gas emissions, and missed opportunities for renewable energy production. Specifically, waste management in Tenerife faces significant challenges due to the burgeoning meat production and subsequent waste generation in its primary slaughterhouses. With an average annual production of 5,000 tons of waste, landfill capacity is nearing its limit. This study therefore aims to assess the biogas production potential from slaughterhouse waste in Tenerife and evaluate anaerobic digestion as an alternative approach. Various combinations of viscera, blood, and slaughterhouse sludge from cattle, pigs, goats, sheep, rabbits, and chickens were analyzed to determine their biogas potential. Results indicate that comprehensive valorization of these wastes could generate 12.86 GWh of energy, equivalent to approximately 20% of the energy consumed in the municipality's industrial sector. Moreover, this approach could reduce emissions by 5.88 Gg of CO2 equivalent and alleviate landfill pressures, thereby mitigating current waste management impacts. Given the region's reliance on imported fuels and limited territorial space, anaerobic digestion presents an environmentally and economically sustainable solution for managing slaughterhouse waste within a closed-loop system.

Implementation of Supervised Learning Algorithm to Predict Climate Factors in Pangkalpinang

Abstract Currently, the world is experiencing erratic climate conditions, characterized by an increase in frequency and intensity of extreme weather, as well as significant climate changes such as an increase in global temperatures. Pangkalpinang city is one of cities with the highest population density in Bangka Belitung Islands. This population density contributes to climate change through increased greenhouse gas emissions from transportation activities, industry, and high energy consumption. Conversely, climate change also has an impact on environmental conditions and the quality of life, making it important to predict climate factors to effectively manage their impact. The purpose of this research is to determine the prediction of climate factors in Pangkalpinang City. In this research, three Supervised Learning algorithm research methods were used, including Linear Regression, ANN (Artificial Neural Network), and XGBoost Regressor (Extreme Gradient Boosting Regressor). Based on the results of the research that has been conducted, it shows that the XGBoost Regressor model provides the best performance with an MSE value of 79.304 and the smallest MAPE value of 16.912. Beside it, the R-squared value is 0.654. This model shows a good ability to predict climate variables compared to other methods. This finding can be the basis for more appropriate policy making in anticipating and managing the impacts of climate change in Pangkalpinang.

The Interplay Between Economic Diversification, Foreign Direct Investment, and Climate Change in Saudi Arabia

Abstract This study examines the short-run and long-run repercussions of export diversification and foreign direct investment on climate change and greenhouse gas emissions in Saudi Arabia. In addition, the specification includes gross domestic product, total energy use, and urbanization as control variables. The outcomes of the study are as follows. First, the ARDL model provides empirical evidence supporting long-run cointegrating relationships among the variables. Second, export diversification, gross domestic product, and urbanization increase greenhouse gas emissions in the short-run and long-run. Nevertheless, the long-run adverse consequences of these variables tend to be greater than their short-run effects. Third, foreign direct investment inflows reduce greenhouse gas emissions and enhance short- and long-run environmental conditions. Finally, energy use has no significant impact on environmental conditions. These conclusions are robust against many empirical issues, including autocorrelation, heteroskedasticity, misspecification, and normality. The cumulative sum of recursive residuals and cumulative sum of recursive residuals of squares plots confirm the stability of long-run parameters and the validity of the ARDL estimations. The findings offer significant perspectives on measures that should be taken to preserve the environment.

PEM Electrocatalysis in a Stirred-Tank Bioreactor Enables Growth of Clostridium Ragsdalei with CO2 and Electrons

Developing sustainable synthesis processes is a primary objective for the chemical industry since harsh process conditions and usage of fossil resources increase greenhouse gas emissions and the carbon footprint. Making use of CO2 as a feedstock to produce value-added organic chemicals is an attractive opportunity to realize a circular carbon economy. Moreover, electric energy generated by solar panels or wind power stations could be saved in stable chemical products. We combined both aspects in a novel bio-electrochemical system (BES) in which a PEM electrolysis cell is coupled to a standard stirred tank bioreactor. Precious group metal-free (PGM-free) catalysts consisting of atomically dispersed active metal sites in nitrogen-doped porous carbon matrix (M-N-C where M= Co, Ni, Zn etc.) enabled electrocatalytical CO2 reduction to CO (CO2RR) in an aqueous environment. The acetogenic bacterium Clostridium ragsdalei directly converts the CO into organic acids and alcohols. Besides, the competing hydrogen evolution reaction (HER) delivers H2 as an additional electron carrier that can be consumed together with CO2. Bacteria are more flexible towards the stoichiometry of their substrates (CO, H2 and CO2), demonstrating an advantage over chemical synthesis processes that often require exact stoichiometries. Further, mild process conditions in bioprocesses allow for more sustainable production. The BES consists of a stirred-tank bioreactor adapted to function together with an electrolysis cell. The cathode and anode are stacked in a membrane-electrode-assembly (MEA) mounted at the bottom with the cathode facing the bioreactor (Figure 1). The fully controlled BES is continuously gassed with CO2 and driven in a potentiostatic mode. A Zn/Co-N-C catalyst coated on carbon support was selective for the CO2 reduction to CO (Schwarz et al., 2024). CO and H2 were continuously produced at the cathode in an applied cell voltage range of -2.2 to -3.2 V. At lower applied voltages (≤ -2.5 V), the catalyst was more selective towards CO formation, whereas a higher cell voltage of -3.2 V caused the HER to take over the CO2RR. During electrofermentations, the cell voltage was increased stepwise to supply sufficient carbon and electron sources to C. ragsdalei. The MEA construction was modified continuously to improve autotrophic batch electrofermentations with C. ragsdalei. Optimizing the compression between the cathode and anode improved the stability of current flows and prolonged the total process time from 3 to 6 days. Increasing the initially low area-to-volume ratio of the cathode with the electrocatalyst (0.0012 cm-1) allowed a higher CO formation rate. CO generation has been limiting the whole electrocatalytical CO2 fermentation process. Furthermore, developing more selective and stable electrocatalysts towards the CO2RR improved the faradaic efficiency. Switching from a two-electrode to a three-electrode setup enabled a more precisely controlled galvanostatic operation with defined CO formation rates sufficient for C. ragsdalei to grow and produce acetate and ethanol in considerable amounts. Reference Schwarz I, Rieck A, Mehmood A, Bublitz R, Bongers L, Weuster-Botz D, Fellinger T-P (2024): PEM electrolysis in a stirred-tank bioreactor enables autotrophic growth of Clostridium ragsdalei with CO2 and electrons. ChemElectroChem 11: e202300344. Acknowledgements Funding by the German Research Foundation (DFG) within the framework of the priority program SPP 2240 (research projects WE 2715/17-1 and FE 1590/1-1) is gratefully acknowledged. Figure 1

Land use and land cover changes in Notwane watershed, Botswana, using extreme gradient boost (XGBoost) machine learning algorithm

ABSTRACT Botswana’s Notwane watershed is crucial for supplying water to Gaborone and surrounding areas. However, urbanization and climate variability threaten its water resources. Land Use and Land Cover (LULC) changes contribute to climate variability, impacting food security, water supply, and weakening rural economies and socio-cultural structures. This study employs geospatial techniques to model LULC changes and inform sustainable environmental management. This study utilized Extreme Gradient Boost (XGBoost), Support Vector Machine (SVM), and Random Forest (RF) algorithms to classify multi-temporal Landsat images from 1984 to 2022. The XGBoost model achieved the highest overall accuracy of 0.81%. Results indicated a 21,239.2% increase in built-up areas between the year, while agricultural land and natural vegetation decreased significantly by 9.38%. These shifts are driven by urbanization, which heightens climate change through increased greenhouse gas emissions and reduced carbon sinks. Variations in water-covered areas were, influenced by dam construction, droughts, and cyclones. A strong correlation between built-up areas and population data highlights the impact of urban expansion. To ensure sustainable urban growth and mitigate negative effects on biodiversity, urban planners must integrate sustainable land use strategies. These findings highlight the necessity for informed decision-making to balance development with environmental sustainability in the Notwane watershed.

The Heteropolyacid-Catalyzed Conversion of Biomass Saccharides into High-Added-Value Products and Biofuels

The industrial processes used to produce paper and cellulose generate many lignocellulosic residues. These residues are usually burned to produce heat to supply the energy demands of other processes, increasing greenhouse gas emissions and resulting in a high environmental impact. Instead of burning these lignocellulosic residues, they can be converted into saccharides, which are feedstock for high-value products and biofuels. Keggin heteropolyacids are efficient catalysts for obtaining saccharides from cellulose and hemicellulose and converting them into bioproducts or biofuel. Furfural, 5-hydroxymethylfurfural, levulinic acid, and alkyl levulinates are important platform molecules obtained from saccharides and raw materials in the biorefinery processes used to produce fine chemicals and biofuels. This review discusses the significant progress achieved in the development of the processes based on heteropolyacid-catalyzed reactions to convert biomass and their residues into furfural, 5-hydroxymethylfurfural, levulinic acid, and alkyl levulinates in homogeneous and heterogeneous reaction conditions. The different modifications that can be performed to a Keggin HPA structure, such as the replacement of the central atom (P or Si) with B or Al, the doping of the heteropolyanion with metal cations, and a proton exchange with metal or organic cations, as well as their impact on the catalytic activity of HPAs, are detailed and discussed herein.

Amine ester improves rice growth and resistance by promoting ammonium and potassium uptake

Fertilizers play a crucial role in improving crop yields; however, excessive fertilizer application leads to environmental pollution, increases greenhouse gas emissions, and contributes to global warming. Therefore, improving fertilizer efficiency is of great significance for crop production and ecological security. Octanoic acid (OA), a type of straight-chain saturated fatty acid commonly found in plants and animals, is known to promote plant growth. In this study, we synthesized amine esters (AE) using OA as the precursor. AE demonstrated a greater growth-promoting effect than OA. To further explore the mechanism underlying AE-induced growth promotion, the responses of macro-element transporter mutants to AE were analyzed. Genetic and physiological studies indicated that mutants of potassium channel AKT1 and ammonium transporter 1 (AMT1) inhibited AE-induced growth promotion in rice seedlings, whereas mutants of nitrate transporter 1.1B (NRT1.1B) and phosphate transporter 8 (PT8) did not significantly inhibit AE-induced growth. Additionally, yeast rescue assays revealed that AE significantly enhanced the absorption of ammonium and potassium ions. Glutamine synthetase 1 (gs1;1) mutants exhibited a response similar to that of AMT1 RNAi, which inhibited AE-induced growth promotion. Furthermore, the administration of AE led to increased chlorophyll accumulation and enhanced resistance to rice blast and sheath blight (ShB) via the potassium and ammonium pathways, respectively. AE also improved tolerance to saline and saline-alkaline stresses through these pathways. In conclusion, AE represents a novel fertilizer additive that promotes rice growth and enhances tolerance to biotic and abiotic stresses by activating ammonium and potassium uptake.

Organic Farming in India: A Dual Strategy for Climate Change Adaptation and Mitigation

Recent decades have transformed Indian agriculture from traditional methods to a mechanized system reliant on fossil fuels, chemical fertilizers, and pesticides, increasing greenhouse gas emissions and impacting global climate. Higher greenhouse gas levels, including carbon dioxide, methane, and ozone are likely, causing the observed rise in air temperatures and leading to significant climate shifts. In most subtropical regions, a 4°C rise in global temperatures is anticipated to reduce groundwater and surface water, heightening food demand and threatening global food security. Climate change denotes long-term, significant alterations in climate measurements. A production system that maintains the health of ecosystems, soils, and human populations is known as organic farming (IFOAM 2006). Organic farming is energy-efficient and reduces greenhouse gas emissions by minimizing chemical and fossil fuel use, while enhancing soil carbon, biodiversity and fertility. It reuses plant and animal waste to restore soil nutrients, relies on renewable resources and supports sustainable, low-pollution management. Organic farming not only helps to mitigate climate change but also provides lasting benefits as an adaptation strategy. Effective nutrient management and carbon sequestration in soils are crucial for adapting and mitigating climate change across diverse temperature zones and local conditions.

Direct parallel electrosynthesis of high-value chemicals from atmospheric components on symmetry-breaking indium sites

To tackle significant environmental and energy challenges from increased greenhouse gas emissions in the atmosphere, we propose a method that synergistically combines cost-efficient integrated systems with parallel catalysis to produce high-value chemicals from CO2, NO, and other gases. We employed asymmetrically stretched InO5S with symmetry-breaking indium sites as a highly efficient trifunctional catalysts for NO reduction, CO2 reduction, and O2 reduction. Mechanistic studies reveal that the symmetry-breaking at indium sites substantially improves d-band center interactions and adsorption of intermediates, thereby enhancing trifunctional catalytic activity. Employed in a flow electrolysis system, the catalyst achieves continuous and flexible production of NH3, HCOO-, and H2O2, maintaining over 90% Faradaic efficiency at industrial scales. Notably, the parallel electrolysis device reported in this study effectively produces high-value products like NH4COOH directly from greenhouse gases in pure water, offering an economically efficient solution for small molecule synthesis and unique insights for the sustainable conversion of inexhaustible gases into valuable products. Therefore, this work possesses considerable potential for future practical applications in sustainable industrial processes.

Climate change and lethal violence: a global analysis

Purpose The study aims to uncover the relationship between rising temperatures, increased greenhouse gas emissions and the prevalence of lethal violence, encompassing suicides and homicides. It also sought to identify how climate change affects different economic strata in countries, notably in high and middle-income nations, and across Asia and Africa. Design/methodology/approach This study rigorously explored the link between global climate change and lethal violence across 201 countries from 1970 to 2020. Climate change was measured using annual surface temperature fluctuations and greenhouse gas emissions, while lethal violence was estimated using data on suicides and homicides. Findings The analysis revealed significant positive associations between escalating temperatures, heightened greenhouse gas emissions and lethal violence. These connections were evident across different economic levels and geographic regions in Asia and Africa. Originality/value This study emphasizes the urgent need for comprehensive interventions to combat human-induced climate change and mitigate its extensive negative impacts on society, particularly its association with increased violent behavior.