Search Results (1,077)

As global climate change intensifies the frequency of extreme weather events, urban flood control and disaster reduction efforts face unprecedented challenges. With the limitations of traditional, top-down emergency management becoming increasingly apparent, many countries are actively incorporating community-based participation into flood risk governance. While research in this area is expanding, the specific impact of urban flood inundation severity on residents’ participation in relief efforts remains significantly underexplored. To address this research gap, this study employs the Community Capitals Framework (CCF) and a Gradient Boosting Decision Tree (GBDT) model to empirically analyze 1322 survey responses from Zhengzhou, China, exploring the non-linear relationship between flood severity and public participation. Our findings are threefold: (1) As the most direct source of residents’ risk perception, flood inundation severity has a significant association with their participation level. (2) This relationship is distinctly non-linear. For instance, inundation severity within a 200 m radius of a resident’s home shows a predominantly negative relation with participation level, with the negative effect lessening at extreme levels of inundation. The distance from inundated areas, conversely, exhibits an “S-shaped” curve. (3) Flood severity exhibits a significant reinforcement interaction with both communication technology levels and government organizational mobilization. This indicates that, during public crises like flash floods, robust information channels and effective organizational support are positively related to residents’ transition from passive to active participation. This study reveals the complex, non-linear associations between flood severity and civic engagement, providing theoretical support and practical insights for optimizing disaster policies and enhancing community resilience within the broader context of urban land management and sustainable development. Full article

The Okapi Wildlife Reserve (OWR) in northeastern Democratic Republic of the Congo represents both a biodiversity hotspot and the ancestral homeland of the Indigenous Mbuti and Efe peoples, whose livelihoods and knowledge systems are closely tied to forest resources. This study investigates how Indigenous knowledge and practices contribute to sustainable resource management under conditions of rapid socio-cultural transformation. A mixed-methods approach was applied, combining socio-demographic surveys (n = 80), focus group discussions, floristic inventories, and statistical analyses (ANOVA, logistic regressions, chi-square, MCA). Results show that hunting, fishing, gathering, and honey harvesting remain central livelihood activities, governed by customary taboos and restrictions that act as de facto ecological regulations. Agriculture, recently introduced through intercultural exchange with neighboring Bantu populations, complements rather than replaces traditional practices and demonstrates emerging agroecological hybridization. Nevertheless, evidence of biodiversity decline (including local disappearance of species such as Dioscorea spp.), erosion of intergenerational knowledge transmission, and increased reliance on monetary income indicate vulnerabilities. Multiple Correspondence Analysis revealed a highly structured socio-ecological gradient (98.5% variance explained; Cronbach’s α = 0.977), indicating that perceptions of environmental change are strongly coupled with demographic identity and livelihood strategies. Floristic inventories confirmed significant differences in species abundance across camps (ANOVA, p < 0.001), highlighting site-specific pressures and the protective effect of persistent customary norms. The findings underscore the resilience and adaptability of Indigenous Peoples but also their exposure to ecological and cultural disruptions. We conclude that formal recognition of Indigenous institutions and integration of their knowledge systems into co-management frameworks are essential to strengthen ecological resilience, secure Indigenous rights, and align conservation policies with global biodiversity and climate agendas. Full article

This study explores the concept of environmental responsibility and assesses the attitudes and perceptions of young adults towards environmental challenges. Applying a hybrid approach based on feature selection, machine learning methods (classification and regression trees (CART) and recursive feature elimination (RFE)) and statistical methods (chi-squared tests), we analyzed survey data from 500 students across three universities. The results reveal that 82% of students rate their climate knowledge as moderate or good, while 92% perceive climate change as a serious threat. Women are more likely than men to report engagement in pro-environmental initiatives. Students’ environmental orientation weakens in the middle years of study but re-emerges in the final year, possibly reflecting greater maturity and a stronger sense of responsibility before graduation. The willingness to establish sustainable enterprises does not always correspond to a high level of knowledge or daily environmental practices. While undergraduates report high levels of climate awareness, they often fail to translate this into concrete actions, indicating a gap between knowledge, motivation, and practice. The insights from the research can inform environmental education strategies, institutional practices, and youth engagement programs within higher education. Full article

Water utilities are increasingly turning to digital solutions to promote conservation behaviours among households; however, traditional campaigns often suffer from limited personalisation, low interactivity, and modest long-term impact. Though computer-tailored and recommender systems (RSs) may offer personalisation, these systems lack a generalised framework that integrates behavioural theory with system design. This study addresses this research gap by introducing a novel framework that unites behavioural science, user experience (UX) design, and adaptive digital feedback to foster water-conscious practices at the residential level. The model draws on established behavioural theories, including the Theory of Planned Behaviour, the Transtheoretical Model, and Intervention Mapping, to ensure that tailored recommendations align with users’ psychological drivers, behavioural readiness, and daily routines. An industry-first prototype RS was developed and evaluated through an online survey (N = 300), assessing user perceptions of relevance, motivation, ease of use, and likelihood of action. The results reveal strong support for personalised suggestions, with 82% of respondents agreeing that personalised recommendations would help conserve water, and 76% indicating incentives would motivate adoption. This evidence indicates early acceptance and high potential impact. This study also addresses a critical research gap: no generic model previously existed to guide the integration of RSs with behaviour change interventions in water demand management. Broader implications are also discussed for applying the model to other sustainability domains such as energy use, waste reduction, and climate adaptation. Full article

This study investigates the paradoxical water security challenges in western Chilean Patagonia, where the regional abundance of water resources masks significant vulnerabilities of drinking water systems. We conducted an integrated socio-hydrological analysis over rural (APR) and urban (APU) drinking water systems, which provide water to approximately 846,000 people. We georeferenced 343 drinking water intake points, from which 51.6% are sourced from groundwater, and 45.8% from surface waters (2.6% other sources). An eco-hydrological characterization was conducted on the 147 watersheds supplying water to the surface intake points. Watersheds were characterized by their main hydrological, morphological, and land cover features, as well as by their level of anthropization (AI) and water stress index (WSI). Social dimensions were captured through structured interviews with 117 APR directorate leaders regarding their perceptions of infrastructure, governance, climate change, and local water management challenges. Our findings suggest that water availability in Patagonia creates a mirage of water security. AI and WSI indicate high variability in the status of water sources, with 25% of watersheds showing high levels of anthropization and 33% with medium to high levels of water stress, making it relevant to explore the results through a combination of hydroclimatic, longitudinal, and latitudinal gradients. A novel analysis linking WSI and AI to governance perceptions was conducted, finding significant inverse correlations between WSI and both technical capacity and users’ participation. Despite the region’s evident abundance of water resources, rural communities consistently express concerns regarding supply sustainability, infrastructure deficiencies, insufficient technical support, and climate change risks to current and future water availability, all of which constrain water security in Chilean Patagonia. Full article

Increasing environmental threats and accelerating effects of climate change serve to reinforce the perception of environmental safety not only as an ecological concern but also as a social and economic one. The extant research suggests that environmental factors have a significant impact on health and quality of life. However, the literature still lacks comprehensive analysis integrating objective environmental indicators with subjective measures of quality of life in a comparative and dynamic framework, particularly in European Union (EU) countries. The primary objective of this paper is to evaluate the environmental safety within European Union countries and its impact on self-perceived quality of life and health. The analysis integrates the multidimensional environmental indicators with subjective assessments of quality of life. To this end, the TOPSIS method is employed to construct a synthetic index for environmental safety (ES_Score). Moreover, pooled cross-sectional time-series regressions are utilised for formal analyses. The study encompasses data from 27 EU countries from 2018 to 2023. The findings of the study suggest that environmental safety exhibits considerable variation among EU countries yet remains relatively stable over time. This underscores the enduring nature of environmental advantages and deficits. Countries with superior environmental safety are also those which have been shown to exhibit a higher quality of life and better health. Proactive environmental investments and activities aimed at sustainable growth have the capacity to improve the quality of life of the population. However, some factors, such as high air emission intensity or excessive water abstraction may be challenging. The findings of this study demonstrate a significant relationship between environmental protection initiatives and social prosperity within European nations, thus offering valuable insights that can inform the development of public policy. Full article

Grassland fire risk perception constitutes a fundamental element of fire risk assessment and underpins the evaluation of response capacities in grassland regions. This study examines Qinghai Province, the fourth-largest pastoral region in China, as a case study to develop an evaluation index system for assessing residents’ perceptions of grassland fire risk. Using micro-level survey data, the study quantifies these perceptions and applies a quantile regression model to investigate influencing factors. The results indicate that: (1) the average grassland fire risk perception index among residents in Qinghai Province’s grassland areas is 0.509, with response behaviors contributing the most and response attitudes contributing the least; (2) Residents in agricultural areas perceive higher risks than those in semi-agricultural/semi-pastoral or purely pastoral areas, and individuals in regions with moderate dependency ratios and moderate fire-susceptibility conditions demonstrate the highest performance, whereas those in pastoral and high-susceptibility zones exhibit signs of “risk desensitization”; (3) risk communication and information dissemination are the primary drivers of enhanced perception, followed by climate variables, whereas individual characteristics of residents attributes exert no significant effect. It is recommended to monitor the impacts of climate change on fire risk patterns, update risk information dynamically, address deficits in residents’ cognition and capabilities, strengthen behavioral guidance and capacity-building initiatives, and foster a transition from passive acceptance to active engagement, thereby enhancing both cognitive and behavioral responses to grassland fires. Full article

Reflective materials, characterized by high albedo and thermal emissivity, offer effective passive cooling strategies for reducing building energy demand. While prior studies have developed thermal transfer models validated under laboratory conditions or conducted short-term monitoring in non-air-conditioned spaces, their effectiveness in operational buildings remains underexplored. This research evaluates the change in cooling energy demand and indoor thermal comfort in a retrofitted office building with reflective materials in China’s Hot Summer and Cold Winter (HSCW) zone. The calibrated WUFI^®Plus simulations show that the application of reflective roof and window materials can result in an 11.3% reduction in cooling energy demand. Moreover, occupant surveys indicate improved thermal perception, with the mean Thermal Comfort Vote (TCV) rising from −0.75 to −0.30, thermal acceptability increasing from 0.10 to 0.35, and 80% of occupants reporting cooler conditions. These subjective results align with simulated Predicted Mean Vote (PMV) reductions (0.82 → 0.74), confirming the retrofit’s effectiveness. While the energy savings are more modest than those reported in Mediterranean climates, they are generally consistent with the energy saving ratios of buildings in the HSCW region as evaluated by previous studies. This study provides a framework for assessing retrofits in occupied buildings with reflective materials and indicates the practicality of such retrofits as an economic, low-disruption strategy for upgrading aging office building stocks in the HSCW zone. Full article

A proper understanding of viticultural and oenological strategies is essential to adapt to climate change and consumer demands. The objective of this study was to evaluate the impact of different viticultural treatments and yeast strains on the chemical composition and sensory perception of wine. Two Verdejo musts, a control must (Must O) and one obtained with innovative viticultural strategies (Must E), were fermented with Saccharomyces cerevisiae, Lachancea thermotolerans, and a co-incubation of Lachancea thermotolerans with Metschnikowia pulcherrima. Fermentations with L. thermotolerans increased lactic acid content, reducing pH (a decrease of 0.2 points compared to controls) and having a positive impact on the perception of freshness. Wines fermented from Must E showed better colour parameters and a higher production of fermentative volatile compounds, but higher ethanol content and lower acidity. In contrast, wines fermented from Must O exhibited a more balanced aromatic profile, with fewer carbonyl compounds and higher alcohols (a 30% reduction in carbonyl compounds in wines fermented with non-Saccharomyces), which made them more harmonious in the sensory evaluations. The results highlight the importance of a good selection of viticultural and oenological strategies to achieve a desirable sensory profile under changing climatic conditions, highlighting the positive impact of non-Saccharomyces yeasts in improving acidity and aromatic profile. Full article

Background: Understanding the perceptions of climate change among local populations is crucial for informing public awareness and supporting the development of evidence-based policies. The Entre Douro e Minho region in Northern Portugal faces significant climate challenges, yet comprehensive studies on local population perceptions remain limited. Objective: This study assessed public perceptions of climate change evolution among residents of the Entre Douro e Minho region, examining demographic and spatial influences on climate awareness and attribution beliefs. Methods: A cross-sectional survey was conducted between October 2024 and March 2025, targeting residents of the Porto, Braga, and Viana do Castelo districts. Statistical analysis employed descriptive statistics, Spearman correlations, and non-parametric tests with psychometrically validated instruments. Results: Among 1749 valid responses (82.0% response rate), residents demonstrated high levels of climate change awareness (mean = 3.87/5.0) and a large number attributed this to anthropogenic causes (mean = 3.82/5.0). Education emerged as the strongest demographic predictor of climate attribution beliefs (ρ = 0.279, p < 0.001, small to medium effect), while age showed a negative association (ρ = −0.255, p < 0.001). Spatial analysis revealed significant district-level variations, with Viana do Castelo consistently showing higher levels of climate awareness across all measures. Wildfires (77.4%) and heatwaves (70.6%) were the most prevalent perceptions of extreme weather, while reforestation and forest management (77.3%) emerged as the most preferred adaptation strategy. Conclusions: This study reveals high levels of climate change awareness, characterized by significant demographic and spatial heterogeneity. Educational attainment and generational differences create distinct perception profiles requiring targeted communication strategies. These findings provide an evidence base for developing age-differentiated climate education programs and geographically tailored adaptation policies in Northern Portugal and similar European contexts. Full article

Despite the growing impacts of climate change worldwide, achieving consensus on climate action remains a challenge partly because of heterogeneity in perceptions of climate risks within and across countries. Lack of consensus has hindered global collective action. We use a system dynamics approach to examine how interactions among cultural, socio-political, psychological, and institutional factors shape public support or opposition for climate mitigation policy. We investigate the conditions under which the dominant public opinion about climate policy can shift within a 20-year time frame. We observed opinion shifts in 20% of simulations, primarily in individualistic cultural contexts with high perceived climate risk. Changing the dominant opinion was especially difficult to achieve in collectivistic cultures, as we observed no shifts in dominant opinion within the parameter ranges examined. Our study underscores the importance of understanding how cultural context mediates the approaches needed to effectively mobilize collective climate action. Full article

The impact of climate change is posing substantial risks for contemporary businesses and individuals. In response, insurance companies are adapting old and adopting new strategies and practices. This study aims to identify operational and structural changes that insurance companies implement in response to risks posed by climate change. The overarching goal of this study is to understand the perceptions of industry experts about how climate change impacts the insurance industry, and identify corporate responses to the pressures stemming from climate change and the rising societal awareness of its impact. Using qualitative research methods, we gathered primary data from eight interviews with senior executives involved in sustainability initiatives within the insurance industry, along with secondary data on Singapore’s three largest insurance companies. Our findings indicate that industry experts view climate change as a significant external force influencing corporate strategies and operational frameworks. Further, insurance companies are investing in environmentally friendly businesses, changing product portfolios, and developing collaboration with administrative and regulatory bodies. Implications of these findings for managers and policymakers are discussed, along with directions for future research. Full article

Climate literacy is pivotal for preparing future leaders to address global climate challenges and build a sustainable future. Higher education institutions (HEIs) play a central role in embedding sustainability principles, particularly Sustainable Development Goal (SDG) 13 (Climate Action), into curricula to cultivate responsible leadership. This study examines the integration of SDG 13 within the business curriculum at Delta University (UAE), assessing undergraduate students’ perceptions of climate education and how teaching methods shape sustainability leadership. Using a mixed-methods approach—a closed-ended survey and Q-methodology—the research analyzes students’ awareness, engagement, and subjective perspectives on pedagogical strategies. The results reveal a disconnect between theoretical knowledge and students’ ability to apply these principles in real-world business contexts. While students acknowledged climate action’s importance and supported active learning pedagogies (e.g., case studies, simulations), skepticism persisted about SDG 13’s applicability to business operations. The findings highlight the need for curricular reforms, aligning curricula with national sustainability strategies (e.g., UAE Net Zero 2050) to bridge theory and practice. This research advocates for HEIs to prioritize climate competencies, ensuring that graduates can address environmental challenges through actionable frameworks. By transcending symbolic commitments, HEIs can empower students to lead regionally and globally, advancing sustainability education’s role in achieving equitable, low-carbon societies. Full article

Ligurian viticulture is characterized by a fragmented landscape and diverse microclimatic conditions, presenting both challenges and opportunities for grape production under climate change. This study investigates the perceived impacts of climate change on viticulture in Eastern (Levante) and Western (Ponente) Liguria, with a focus on vine growth dynamics, productivity, and the adaptation strategies adopted by local winegrowers. Semi-structured interviews with 48 winemakers revealed significant shifts in grape maturation (p < 0.001), earlier harvest dates, and increased vulnerability to fungal diseases (p < 0.01), primarily driven by rising temperatures and altered precipitation regimes. A notable rise in extreme temperature events (p < 0.01) was reported, with all respondents (100%) observing irregular seasonal temperature fluctuations. Furthermore, climate change was linked to changes in local fauna, particularly the expansion of ungulate populations (p < 0.001), leading to increased vineyard damage. In response, growers have adopted a range of adaptive measures, including drought-resistant rootstocks (e.g., M-series), traditional training systems (Guyot, Alberello), and local innovations such as the low pergola in Cinque Terre. Principal component analysis (PCA) revealed region-specific adaptation profiles, underscoring the influence of environmental and agronomic variability on viticultural resilience. Logistic regression identified temperature variability, disease incidence, and precipitation shifts as key predictors of perceived climate impact. The results underscore the urgency of developing regionally tailored adaptation strategies to sustain viticulture in Liguria’s complex and changing landscape. Full article

Accurate monitoring of the coverage and distribution of photosynthetic (PV) and non-photosynthetic vegetation (NPV) in the grasslands of semi-arid regions is crucial for understanding the environment and addressing climate change. However, the extraction of PV and NPV information from Unmanned Aerial Vehicle (UAV) remote sensing imagery is often hindered by challenges such as low extraction accuracy and blurred boundaries. To overcome these limitations, this study proposed an improved semantic segmentation model, designated SegFormer-CPED. The model was developed based on the SegFormer architecture, incorporating several synergistic optimizations. Specifically, a Convolutional Block Attention Module (CBAM) was integrated into the encoder to enhance early-stage feature perception, while a Polarized Self-Attention (PSA) module was embedded to strengthen contextual understanding and mitigate semantic loss. An Edge Contour Extraction Module (ECEM) was introduced to refine boundary details. Concurrently, the Dice Loss function was employed to replace the Cross-Entropy Loss, thereby more effectively addressing the class imbalance issue and significantly improving both the segmentation accuracy and boundary clarity of PV and NPV. To support model development, a high-quality PV and NPV segmentation dataset for Hengshan grassland was also constructed. Comprehensive experimental results demonstrated that the proposed SegFormer-CPED model achieved state-of-the-art performance, with a mIoU of 93.26% and an F1-score of 96.44%. It significantly outperformed classic architectures and surpassed all leading frameworks benchmarked here. Its high-fidelity maps can bridge field surveys and satellite remote sensing. Ablation studies verified the effectiveness of each improved module and its synergistic interplay. Moreover, this study successfully utilized SegFormer-CPED to perform fine-grained monitoring of the spatiotemporal dynamics of PV and NPV in the Hengshan grassland, confirming that the model-estimated f_PV and f_NPV were highly correlated with ground survey data. The proposed SegFormer-CPED model provides a robust and effective solution for the precise, semi-automated extraction of PV and NPV from high-resolution UAV imagery. Full article