Search Results (4,260)

Local and Indigenous knowledge (LIK) systems are recognised as a pertinent component of effective and equitable water governance, especially for building resilient, sustainable, and climate-resilient water management systems; however, their incorporation into water governance systems and processes remains limited, symbolic, and hindered by technocratic, legal, and power barriers. This study, through a systematic overview of existing work from Africa, aims to explore critically the role and contribution of LIK systems in water governance and climate adaptation, with the goal of establishing that LIK systems should be understood and operationalised as a water governance system, not as a supplementary knowledge system. Through systematic thematic analysis, four recurring themes are identified: (i) rhetorical recognition of LIK without substantive institutionalisation; (ii) evidence of contributions to local-scale climate adaptation, ecosystem management, and water resource allocation; (iii) inherent challenges of legal marginalisation, epistemic dominance, and power asymmetry; and (iv) transformative limitations of participatory or co-management frameworks that maintain state-led authority. SWOT analysis reveals LIK’s strengths in adaptive innovation, knowledge coproduction, and governance legitimacy, with potential threats of marginalisation, institutional fragmentation, and dominance by technocratic discourses. The results show that the failure of integration is governance-driven rather than knowledge-driven, emphasising the importance of institutional recognition, legal pluralism, vertical integration, and the sharing of power. Partnership with LIK as an equal in governance helps create policy environments that are inclusive, flexible, and socially legitimate. This approach to integration directly contributes to the achievement of SDG 6 (Clean Water and Sanitation), SDG 13 (Climate Action), SDG 10 (Reduced Inequalities), SDG 16 (Peace, Justice, and Strong Institutions), and SDG 17 (Partnerships for the Goals). This review establishes a conceptual, empirical, and practical basis for incorporating LIK into water governance, promoting adaptive, equitable, and resilient water resource management in a climate of uncertainty and complexity. Additionally, the review argues that climate-resilient water governance requires institutional recognition of legal pluralism, vertically integrated decision-making structures, and explicit power-sharing arrangements that treat LIK as coequal governance rather than consultative input. By reframing LIK integration as a question of authority and institutional design, this review contributes to debates on epistemic justice and adaptive water governance under climate change. While grounded in African case studies, the findings contribute to broader global debates on epistemic pluralism and inclusive water governance. Full article

Nitrogen is essential for plant growth. Reliance on synthetic nitrogen fertilisers, however, is costly and contributes to soil degradation. Utilising nitrogen-fixing bacteria as biofertilisers may offer a sustainable alternative, reducing fertiliser costs and environmental impact. In this study, we attempted to isolate nitrogen-fixing bacteria from 14 seed batches of warm-season pasture grasses and successfully isolated bacteria from three of these batches. Whole genome sequencing confirmed the presence of the nif operon within all three isolates. Two seed batches of Cenchrus clandestinus (Hochst. ex Chiov.) Morrone from which nif-containing bacteria were isolated, along with two ‘nif’-negative C. clandestinus seed batches, were used in nitrogen-limiting growth assays. This was done to evaluate the effect of the presence of seed-associated nitrogen-fixing bacteria within a seed batch on nitrogen-limited plant growth and the associated plant microbiome composition, using 16S amplicon sequencing of root and shoot samples. Initial plant growth assays revealed significantly reduced root length between plants grown from seed batches harbouring nitrogen-fixing bacteria and those without, under limiting nitrogen availability, but no resulting shoot biomass reduction was observed. The plant microbiomes of these nif-positive seed batches were also statistically similar to each other, compared to the nif-negative seed batch plants. Plant microbiomes of all four C. clandestinus seed batches were significantly different from their original seed microbiomes, showing shifts in community composition. This study demonstrates the presence of potential nitrogen-fixing bacteria associated with warm-season pasture grass seeds at low abundance and reveals differences in plant-associated bacterial community composition between seed batches harbouring and lacking these bacteria. Full article

Sustainable environmental performance (SEP) among small and medium-sized enterprises (SMEs) has attracted researchers and practitioners’ attention. The achievement of sustainable environmental performance has been largely dependent on the prevailing external ecosystem conditions. Yet in emerging economies such as Ghana, there is limited research and evidence on the extent to which external ecosystem resources influence sustainable environmental performance. This study aims to investigate how external entrepreneurial ecosystem resources including policy, access to finance, market availability, institutional support, human capital and culture influence the sustainable environmental performance (SEP) of small and medium-sized enterprises (SMEs) using sample data from Ghana. A total of 386 SME manufacturing and service firms were sampled to participate. Structural equation modeling (PLS-SEM) tested a multi-theory framework grounded in the Resource-based View (RBV), Resource Dependency Theory (RDT) and Stakeholder Theory. The results indicate that policy, finance, institutional support, and markets exert significant positive effects on SMEs’ SEP. Culture and human capital were found to have a weaker contribution to SMEs’ SEP. The novelty of this study lies in empirically demonstrating the primacy of ecosystem structural levers over softer ecosystem factors in driving SME sustainable environmental performance, thereby offering a new explanatory hierarchy of ecosystem drivers for sustainability in developing economies. We advance the RBV, RDT and the Stakeholder Theory by showing that external ecosystem resources act as critical environmental enablers for SMEs in developing economies. The findings offer globally relevant policy insights for advancing SDGs 12 (Responsible Consumption and Production) and 13 (Climate Action) through targeted ecosystem interventions. Full article

Flooding is one of the most persistent and destructive natural hazards in West Virginia. However, community-scale assessments that connect social vulnerability with physical flood vulnerability are still limited. Existing floodplain management plans often focus on infrastructure and hydrology, overlooking how socioeconomic disparities shape resilience. This study assesses flood resilience in West Virginia communities by connecting socioeconomic vulnerability with physical flood vulnerability. Using data from the American Community Survey (ACS) and state floodplain maps, we developed a Socioeconomic Vulnerability Index (SEVI) and combined it with physical indicators, such as the percentage of residential buildings in the 100-year floodplain, the share of mobile homes in flood-prone areas, the presence of essential facilities and community assets within flood zones, and the proportion of roads submerged by at least one foot of water. Incorporated and unincorporated communities were analyzed separately to reflect differences in governance and service capacity. The results reveal that high flood vulnerability areas often coincide with high socioeconomic vulnerability, especially in the southern and southeastern counties, where long-term economic decline has increased risks. Communities like McDowell and Mingo face a combined challenge of social and physical vulnerability, adding pressure to populations already dealing with limited resources. These findings emphasize the importance of integrated resilience planning that combines physical protection with social support. Considering the increasing intensity of extreme precipitation events associated with climate change, these findings also highlight the importance of incorporating long-term climate considerations into flood resilience planning. Policy suggestions include expanding targeted flood insurance subsidies for low-income households, prioritizing the relocation or retrofitting of mobile homes and essential facilities, investing in green and open spaces, and encouraging community-based mitigation strategies. Together, these actions can lower long-term flood risks while addressing structural inequalities that make certain populations more vulnerable. Full article

Expanded polystyrene (EPS) waste poses a major environmental concern due to its high volume, low density, and resistance to biodegradation. In this study, post-consumer EPS was reprocessed into continuous microfibers by Air Jet Spinning (AJS) using chloroform and chloroform/D-limonene as solvent systems. The effects of polymer concentration, air pressure, and solvent ratio on fiber formation were systematically investigated through rheological and surface tension analyses. The incorporation of 10 vol. % D-limonene improved jet stability and reduced bead formation, attributed to its lower volatility and favorable solubility with EPS, as supported by Hansen solubility parameters. SEM analysis confirmed uniform microfiber formation within a defined processing window. FTIR spectra indicated preservation of the polystyrene chemical structure, while TGA and DSC analyses were used to evaluate thermal behavior and assess potential residual solvent retention, particularly related to D-limonene. The results elucidate the interplay between solvent volatility, solution properties, and fiber morphology, establishing a sustainable processing framework for converting EPS waste into value-added fibrous materials via AJS. This work contributes to the United National Sustainable Development Goals, particularly SDG 12 (Responsible Consumption and Production) by promoting EPS waste valorization, and SDG 13 (Climate Action) through the partial replacement of conventional solvents with sustainable alternative. Full article

This study develops a unified multiscale–machine learning framework to interpret and predict thermo-mechanical wear regime transitions in MWCNT- and nanoclay-reinforced bio-based epoxy composites. A physics-informed master wear formulation integrating real contact mechanics, geometry-dependent shear transfer, interfacial adhesion energetics, and fracture-controlled matrix detachment was combined with interpretable machine learning analytics on a unified tribological dataset. In the CNT system, increasing loading from 0.1 to 0.4 wt.% enhanced interfacial adhesion energy density from 0.00813 to 0.01906 J/m², resulting in a monotonic reduction in the wear rate from 0.00918 to 0.00613 mm³/N·m (~33% reduction). In contrast, nanoclay exhibited an optimum behavior, with a minimum wear at 0.25 wt.% (0.000093 mm³/N·m; 7.9% reduction vs. neat clay baseline), followed by deterioration at a higher loading due to dispersion loss. The unified probabilistic regime classification of low-wear conditions (k < 0.007 mm³/N·m) achieved an ROC − AUC = 0.9256 and balanced accuracy = 94.3%, with thermo-mechanical severity identified as the dominant regime-switching driver. Reinforcement identity significantly modulated regime stability, confirming distinct shear transfer (Carbon Nano Tubes(CNT)) and confinement/tribofilm (clay) mechanisms within a common mathematical framework. By enabling the durability-oriented design of bio-based tribological systems and extending component service life through predictive stability mapping, this work contributes to resource-efficient materials engineering and reduced lifecycle waste, supporting Sustainable Development Goals SDG 9 (Industry, Innovation and Infrastructure), SDG 12 (Responsible Consumption and Production), and SDG 13 (Climate Action). Full article

Nighttime light (NTL), a crucial indicator of human activity intensity, has not been systematically analyzed for its interactive mechanisms with air pollution and climate change. This study first investigates the spatiotemporal evolution of China’s total nighttime light (TNTL) and average nighttime light (ANTL), alongside key indicators of meteorological parameters and air pollution, at the grid scale from 2000 to 2023. We then employ prefecture-level city data and a geographically and temporally weighted regression (GTWR) model to quantify the spatiotemporally heterogeneous associations of temperature (TMP), precipitation (PRE), fine particulate matter (PM_2.5), ozone (O₃), land use (LUL), topography, and socioeconomic factors with NTL. The results indicate that (1) China’s NTL exhibits a significant overall upward trend, with areas of increase or significant increase comprising 92.04% of the total study area. TNTL growth demonstrates regional heterogeneity, expanding by a factor of 4.91 in East China and 2.65 in Northeast China; (2) meteorological and air pollution indicators display spatiotemporal non-stationarity, with the synergistic effect between O₃ and PRE being the strongest; (3) among NTL drivers, LUL contributes most significantly (0.44), followed by TMP (0.14) > PM_2.5 (−0.33 × 10⁻¹) > O₃ (0.17 × 10⁻¹) > PRE (−0.33 × 10⁻⁶); (4) TMP and PRE may primarily influence NTL by altering ecological conditions and nighttime activity patterns. TMP shows a strong positive correlation with NTL in the junction zone of South, East, and Central China, whereas PRE predominantly exerts a negative influence; (5) air pollution exhibits distinct spatiotemporal effects: high PM_2.5 and O₃ generally correspond to lower NTL, though positive correlations persist in some areas due to industrial structures, highlighting the need for integrated policies that balance air quality management with sustainable urban planning; (6) the 2013 “Air Pollution Prevention and Control Action Plan” significantly strengthened the negative correlation between PM_2.5 and NTL in North China. However, O₃ concentrations increased by 28.9% after 2017, underscoring the challenge of coordinating VOC and NOx controls for long-term atmospheric sustainability. Full article

Climate change is radically altering the Earth’s natural ecosystems, with temperature/precipitation alterations resulting in mismatches between specific ecosystems and their ‘new’ climatic profiles. Without political action to curb greenhouse gas emissions, most plant/animal species will need to move to higher latitudes to ensure survival. Many are incapable of migrating rapidly and will thus be reliant on human intervention to relocate to new regions (assisted migration). The first hypothetical steps of assisted migration are explored here, using the UK as a model. Urban parks/gardens have a history of hosting non-native plant species and could be used to test the validity of moving non-native plants and animals to regions of higher latitude. In this perspective paper, we added a small experimental component to examine public attitudes to species introductions into urban parks/gardens. Results showed support for using parks and gardens to protect both UK native and non-native wildlife. Indeed, >50% of respondents favoured utilising urban landscapes to conserve small non-native animals (e.g., tortoises and bee-eaters). These results imply there may be some public acceptance of assisted migration. Thus, the paper explores the potential to develop novel, but more sustainable ecosystems in new localities. Full article

Noise pollution has become an increasingly discussed environmental problem in recent years. Developing a traffic infrastructure and recent sustainability goals require new solutions to mitigate noise pollution. This paper investigates the efficiency of the noise barrier made entirely of recycled materials. This solution would help achieve the United Nations sustainable development goals (SDGs). The proposed barrier target SDGs are: Good Health and Well-being (SDG 3); Industry, Innovation, and Infrastructure (SDG 9); Sustainable Cities and Communities (SDG 11); Climate Action (SDG 13). The changed barrier parameters were the parameters of the perforated panel and the air gap behind the porous material. To solve the optimisation problem, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method was used. The results showed that the proposed barrier configuration was the following: perforation shape—round, perforation diameter—5 mm, increment angle perforation—30°, thickness of the perforated panel—10 mm, porous absorbing material (composite rubber granule and hemp shive panel (RGHS))—50 mm thick, 20% of hemp shive content, air gap between absorbing material and the rigid backing—100 mm. The total thickness of the noise barrier was 180 mm. The acoustic parameters of the noise barrier structure were: α_avg. = 0.24, peaking at 0.51 (1250 Hz) and R_W = 39.7 ± 1.0 dB. These results indicate that the proposed barrier made of recycled materials could be a sustainable alternative for noise pollution mitigation and improving people’s quality of life. Full article

Life cycle greenhouse gas (GHG) accounting is increasingly required to substantiate the climate value of wind power beyond “zero-emission” operation, especially under China’s dual-carbon targets. Robust estimation of life cycle GHG emission intensity and the identification of actionable mitigation levers are therefore important for credible transition planning. In this study, a process-based life cycle assessment (LCA) was conducted for a representative 100 MW onshore wind farm in Gaoyou, Jiangsu Province, China, following ISO 14040/14044. To enhance engineering relevance, the construction and installation phase was modeled in a refined manner by decomposing it into road, wind-turbine, booster-station, and transmission-line engineering and further into unit processes. The results show that the overall life cycle GHG emission intensity of the studied wind farm is 24.6 g CO₂-eq/kWh. Scenario analysis further indicates that reducing curtailment and improving end-of-life recycling are effective pathways to lower emission intensity, while the net advantage of hybrid versus steel towers depends on recycling performance when end-of-life credits are included. The study also summarizes practical implications for low-carbon equipment/material procurement and green supply-chain governance, low-carbon construction and logistics, coordinated “source–grid–load–storage” planning to curb curtailment, and more standardized and comparable life cycle carbon accounting for wind projects in China. Full article

The increased demand for food worldwide has led to the widespread use of synthetic chemical fertilizers. Since the Green Revolution, the use of such chemical fertilizers has been in high demand as a nutrient input in agriculture. The increased application of fertilizer to upsurge crop yields is not suitable for the long term and leads to nutrient loss, as well as severe environmental and ecological consequences. In contrast to conventional fertilizers, nano fertilizers, which are designed at the 1–100 nm size, provide focused nutrient delivery, decreased leaching, and improved plant absorption. They accomplish this by greatly increasing crop yields, enhancing fertilizer usage efficiency, and facilitating sustainable farming in the face of obstacles, including resource scarcity, climate change, and a projected population size of 10 billion by 2050. In comparison to typical NPK fertilizers at equal nutrient rates, nano fertilizers enhanced crop yields by an average of 20–23% across cereals, legumes, and horticulture crops according to studies conducted between 2015 and 2024. In particular, using nano urea with rice increased grain yields by 28.6% with 44% less nitrogen input, and applying nano zinc to wheat increased yields by 31.2% and improved the grain’s Zn content by 41%. Through targeted foliar or soil application, nano fertilizers frequently increase nutrient use efficiency (NUE) by more than 50% as opposed to 30–50% for conventional fertilizers. Nano fertilizer is prepared based on the encapsulation of plant essential minerals and nutrients with a suitable polymer matrix as a carrier and then delivered as nano-sized particles or emulsions to the plants. Natural plant openings like stomata and lenticels in plant parts facilitate the uptake and diffusion, leading to higher NUE. This review provides an overview of current knowledge on the development of advanced nano-based and smart agriculture using nano fertilizer to improve nutritional management. Furthermore, nanoscale fertilizers and their formulation, nano-based approaches to increase crop production, the different types of fertilizers that are currently available, and the mechanism of action of the nano fertilizers are discussed. Thus, it is expected that a properly designed nano fertilizer could synchronize the release of nutrients in crop plants as and when needed. Full article

Sustainable energy systems (SESs) support intelligent modeling, automation, and governance that enable energy access, infrastructure innovation, and climate resilience. Despite their potential, their integration with large language models (LLMs) raises concerns regarding energy intensity, transparency, equity, and regulation. This study adopts a mixed-methods review combining a BERTopic-based thematic analysis and case-based synthesis to examine applications of LLMs in energy modeling, optimization, etc., and to assess their alignment with the United Nations Sustainable Development Goals. These applications support SDG 7 (Affordable and Clean Energy) by improving access to energy knowledge and decision support, SDG 9 (Industry, Innovation and Infrastructure) through intelligent and scalable digital infrastructure, and SDG 13 (Climate Action) by climate-responsive planning and operational efficiency. The findings reveal that modular, agent-based LLM workflows enhance energy modeling and regulatory compliance. However, sustainability trade-offs necessitate responsible Artificial Intelligence (AI) governance emphasizing transparency, ethical design, and inclusivity. This review informs policy and practice by suggesting that LLMs offer potential value for sustainable energy application deployment within responsible AI governance frameworks that emphasize ethical design, accountability, and equitable access. The study provides future research directions using the ADO (antecedents–decisions–outcomes) framework, emphasizing regulatory readiness, ethical design, and inclusive governance aligned with SDGs 7, 9, and 13, among others. Full article

Despite unprecedented political endorsement, nature-based solutions (NbS) consistently fail to achieve the systemic transformation required for climate and biodiversity crises. This implementation deadlock stems from a profound triple strategic gap: a translational evidence gap between fragmented science and actionable design, a strategic design gap in misaligned institutions, and a fundamental theoretical integration gap disconnecting ecological principles from socio-economic solutions. This study forges and validates the symbiosis framework—an interdisciplinary blueprint designed to bridge this triple gap. Employing design science research, we: (1) synthesize ecological theory with institutional economics to distill three core design principles—functional reciprocity, nested modular network architecture, and strategic leverage and foundational support; (2) translate these into a conceptual model and strategic implementation blueprint; and (3) validate the framework through comparative analysis of global NbS case studies. The resulting framework provides a novel translational logic, moving beyond critique to offer a prescriptive design tool. It enables practitioners to diagnose systemic failures and design interventions that emulate ecological intelligence while applying institutional design principles: cultivating reciprocal partnerships, structuring resilient networks through polycentric governance, and strategically targeting catalytic leverage points and foundational assets. We conclude that scaling NbS requires a paradigm shift from managing isolated symptoms to architecting symbiotic systems. The symbiosis framework provides the essential interdisciplinary blueprint for this shift. Full article

Illegal artisanal and small-scale mining (galamsey) and climate stress jointly degrade ecosystems and livelihoods in Ghana. This paper demonstrates how community-driven governance can realign incentives toward environmental stewardship and inclusive livelihoods. Using an explanatory sequential mixed-methods design—quantitative difference-in-differences followed by qualitative case analysis and Participatory Action Research—we evaluate a structured program combining vocational training, financial literacy, environmental stewardship, and governance alignment. We operationalize Environmental, Social, and Governance (ESG) outcomes via transparent composite indices and triangulate survey, administrative, and focus group evidence. The study identifies conditions under which alternative livelihoods reduce participation in illegal mining, strengthen women’s economic agency, and improve adoption of climate-smart practices. Implications include practical guidance for program design (community delivery, matched incentives, oversight), policy (local climate finance and accountability mechanisms), and research (scalable indicators and rigorous impact evaluation in resource-dependent communities). Full article

Visual arts education (VAE) offers a promising pedagogical space for addressing sustainability challenges by engaging the cognitive, emotional, and ethical dimensions of learning. This study examines how engagement with contemporary visual arts and art-based pedagogical practices can foster ecological thinking, ecological literacy, and sustainability awareness among pre-service teachers. The research was conducted over one academic year (2022/2023) within two visual arts courses attended by a total of 69 second- and third-year students enrolled in a teacher education programme. Using a qualitative, interpretative research design, the study investigated how selected contemporary artworks addressing ecological themes were pedagogically contextualised and discussed, and how students engaged with these artworks through dialogue, reflection, and their own art-making processes. Data were collected from students’ written reflections, group discussions, and visual works, and analysed using an interpretative framework informed by visual hermeneutics and sustainability education discourse. The findings indicate that engagement with contemporary visual art can foster the development of ecological literacy by enabling students to integrate experiential, affective, reflective, and relational dimensions of sustainability into their understanding of environmental issues. In line with the objectives of SDG 4 (Quality Education), SDG 12 (Responsible Consumption and Production), and SDG 13 (Climate Action), the study contributes to existing literature by demonstrating the pedagogical potential of visual arts education within teacher education and Education for Sustainable Development. Full article