Search Results (7,458)

The Samara River is a left-bank tributary of the Volga with a total basin area of 46,500 km², of which 22,800 km² is the gauged area analyzed in this study. This river system serves as a case study for examining hydrological transformations in the extreme southeastern region of European Russia (the Southern Cis-Urals) driven by progressive climate change and historical land-use shifts. To achieve this, the study analyzes long-term, station-based gauge observations of monthly river runoff for the period 1933–2022. The methodology employs a baseline set of standard statistical criteria combined with specialized hydromathematical procedures to evaluate runoff structure. The results demonstrate that while the river’s annual runoff lacked a statistically significant trend, its intra-annual structure underwent profound transformations. While April and May exhibited non-significant declines, the vast majority of months demonstrated prominent upward runoff trends. This systematic increase compressed the amplitude between hydrologically contrasting months by a factor of 2.5 to 3 from the historical climatological baseline (1933–1960) period to the modern baseline (1991–2020) period. Since 1989, the intra-annual variability coefficient has decreased by approximately one-third, especially during low-flow years. Concurrently, the spring flood contribution decreased by approximately 25%, and the frequency of prolonged, three- to four-month snowmelt-driven freshets during the 1987–2022 period doubled to ~22% compared to the preceding period, whereas the summer–autumn and winter low-flow shares increased substantially. Spectral analysis demonstrates a structural asymmetry in runoff generation mechanisms: low-flow dynamics are predominantly governed by long-term macrocycles (spanning 11 years or more), whereas maximum discharge exhibits a complex spectral configuration rather than a purely stochastic white noise process, reflecting an underlying statistical ambiguity between the applied criteria. Finally, five alternating multiyear flow phases occurred since 1933, characterized by low-flow conditions during 1933–1945, 1966–1984, and 2014–2022, and high-flow conditions during 1946–1965 and 1985–2013, with the respective contributions of the spring snowmelt flood and low-flow runoff differing substantially across these phases. This research advances the understanding of regional river runoff transformations in the Anthropocene, providing an objective basis for long-term water balance forecasting in the Southern Cis-Urals, strategic environmental management, climate change adaptation, and environmental risk assessment. Full article

Wireless sensor networks (WSNs) play a critical role in cyber-physical applications such as industrial monitoring, environmental sensing, and critical infrastructure management. In these environments, security mechanisms must not only detect malicious activities but also explain how compromised measurements propagate through sensing, aggregation, and decision processes while operating under stringent resource constraints. Existing approaches typically address intrusion detection, trust management, provenance analysis, or blockchain-based integrity independently, providing limited support for integrated and explainable security. This paper presents PhyProvTrust-WSN, a physics-aware framework that combines physics-consistency validation, dynamic provenance graphs, evidence-based trust propagation, multi-factor risk fusion, and selective evidence anchoring to improve the transparency and auditability of secure sensor data aggregation. The framework models sensing, forwarding, aggregation, validation, and response events as a bounded provenance directed acyclic graph (DAG), enabling causal tracing of suspicious activities while maintaining low memory and communication overhead. A weighted risk fusion mechanism integrates anomaly evidence, domain-consistency assessment, trust evolution, and inherited provenance risk to support explainable security decisions. Rather than continuously recording all events, only high-risk or decision-relevant evidence hashes are anchored to a permissioned audit layer, reducing storage and communication costs. To avoid overclaiming, the proposed framework is evaluated using a hybrid methodology that combines attack-labeled WSN datasets, real sensor measurements for physics-consistency validation, and simulation-based overhead analysis. The results demonstrate that the integrated framework provides strong detection capability while improving explainability, supporting root-cause analysis, and maintaining bounded communication and storage overhead suitable for resource-constrained WSN deployments. Full article

Background: Hypertension requires lifelong antihypertensive medication to reduce cardiovascular risk. While most studies have focused on individual determinants of adherence, the role of perceived environmental and social characteristics remains unclear. This study examined the associations of depressive symptoms, satisfaction with the community environment, social participation, and social contact with antihypertensive medication non-adherence among older adults with hypertension in South Korea. Methods: A cross-sectional secondary analysis was conducted using the 2023 Korea Community Health Survey, including 44,822 adults aged 65 years and older with physician-diagnosed hypertension who were currently taking antihypertensive medication. Medication non-adherence was defined as taking medication on fewer than 24 of the previous 30 days, and associated factors were identified using complex sample multivariable logistic regression. Results: The prevalence of medication non-adherence was 0.4%. Higher satisfaction with the community environment was associated with lower odds of medication non-adherence (OR = 0.83, 95% CI = 0.72–0.95), whereas greater social participation was associated with higher odds (OR = 1.39, 95% CI = 1.09–1.78). Social contact, depressive symptoms, and the remaining characteristics were not significantly associated with medication non-adherence. Conclusions: Antihypertensive medication non-adherence among older adults is associated with perceived environmental characteristics as well as individual factors. Whether community-based approaches addressing these conditions can improve medication adherence requires evaluation in longitudinal or interventional studies. Full article

Sustainability transitions depend on public willingness to carry the costs they impose, yet recognition of climate risk does not necessarily extend to support for measures that place those costs directly on households. This exploratory cross-sectional study examines that distinction among urban respondents in Adana, Mersin, and Osmaniye in Türkiye’s Mediterranean Region. The analytic dataset comprised 214 adult urban respondents. Because no sampling frame or respondent-level inclusion probabilities are available, the achieved sample is treated as an unweighted non-probability sample and no claim of population representativeness is made. Principal-axis exploratory factor analysis with oblimin rotation and parallel analysis identified three dimensions: personal climate–environmental risk, support for cost-bearing environmental action, and an exploratory environmental concern. An in-sample three-factor confirmatory sensitivity model showed acceptable fit (comparative fit index (CFI) = 0.970, Tucker–Lewis index (TLI) = 0.958, root-mean-square error of approximation (RMSEA) = 0.057, standardized root-mean-square residual (SRMR) = 0.057). Personal risk (mean (M) = 8.70) and environmental concern (M = 8.62) were much higher than cost-bearing support (M = 4.27). The within-person risk–cost support gap was 4.43 points (95% confidence interval (CI) 3.99–4.87; d_z = 1.36). Risk and concern were not significantly correlated with cost-bearing support, and their addition to a heteroskedasticity-robust (HC3) adjusted model increased explained variance by only 1.2% (p = 0.210). Provincial differences were substantial: Mersin had the widest gap, whereas Osmaniye had the highest cost-bearing support. The results do not estimate public opinion for the provinces; rather, they show that climate-policy legitimacy cannot be inferred from high risk perception alone. Policy-specific research should test fairness, effectiveness, trust, revenue use, and distributive safeguards in representative samples. For sustainability governance the implication is direct: the social pillar of sustainability—perceived fairness, affordability, and distributive protection—has to be designed into climate and environmental measures rather than assumed to follow from environmental awareness. Full article

Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) has become the most common chronic liver disease in childhood, paralleling the global increase in pediatric obesity and metabolic dysfunction. Once considered a benign condition, pediatric MASLD is now recognized as a heterogeneous and potentially progressive disease that may advance from simple steatosis to steatohepatitis, fibrosis, and, rarely, cirrhosis, with lifelong hepatic and cardiometabolic consequences. Its pathogenesis is multifactorial, involving insulin resistance, adipose tissue dysfunction, chronic low-grade inflammation, genetic and epigenetic susceptibility, environmental factors, and alterations in the gut microbiome. Most affected children are asymptomatic, and diagnosis is often prompted by elevated liver enzymes or incidental imaging findings. Noninvasive tools, including ultrasonography, elastography, serum biomarkers, and emerging multi-omics approaches, are improving disease detection and risk stratification, although liver biopsy remains the reference standard in selected cases. Lifestyle modification, including dietary optimization, increased physical activity, and gradual weight reduction, remains the cornerstone of management, while pharmacological therapies are still under investigation in pediatric populations. The marked variability in disease susceptibility; progression; and treatment response underscores the need for a personalized medicine approach. Integrating clinical characteristics with genomic, epigenomic, metabolomic, and microbiome data may enable early identification of high-risk children, more accurate prognostic assessment, and individualized preventive and therapeutic strategies. Early detection and multidisciplinary care involving pediatricians, hepatologists, endocrinologists, dietitians, and families may help reduce disease progression and the risk of long-term hepatic and cardiometabolic complications. This review summarizes current evidence on the epidemiology, pathophysiology, clinical presentation, diagnosis, and management of pediatric MASLD, with a particular emphasis on precision diagnostics, biomarker discovery, and personalized therapeutic approaches. It also discusses current challenges and future directions for implementing personalized medicine to improve outcomes and reduce the lifelong burden of pediatric MASLD. Full article

In response to the escalating challenges of global climate change and extreme meteorological events, this study addresses the critical issue of low disaster resistance in socialist-built heritage (SBH, i.e., built cultural heritage constructed during China’s socialist construction stage from 1949 to 1978). Focusing on Henan Province, China, with meteorological observation datasets spanning 1990–2023 and 1362 SBH sites constructed from 1949 to 1978, we innovatively construct a four-dimensional risk assessment model integrating Meteorological–Environmental Hazard (H), Exposure (E), Vulnerability (V), and Ecological Resilience (R). By synthesizing Spearman correlation analysis, Variance Inflation Factor (VIF) diagnostics, and piecewise regression, this research elucidates the spatial differentiation and driving mechanisms of meteorology-induced compound disaster risks. Key findings identify Zhengzhou and Kaifeng as core high-risk zones and precisely quantify a critical hazard threshold of 0.4 with a 95% breakpoint confidence interval [0.372, 0.428], passing the Chow test p < 0.001 and validated via historical heritage damage records (R² = 0.78). Variable-importance analysis proves that extreme precipitation (32.7%) and annual strong-wind days (28.1%) are the dominant meteorological–environmental drivers, alongside the significant buffering effect of ecological resilience. Ultimately, this study refines the disaster risk assessment framework for SBH, providing robust theoretical support and a decision-making basis for adaptive conservation strategies in similar regions. The average disaster risk of SBH in Henan is 0.421 ± 0.153; for each 0.1 growth of H-E-V coupling term above the threshold of 0.4, disaster risk rises by 37.2%. Full article

The Berca–Arbănași region of Buzău County (Romania) is of exceptional geochemical interest due to diapiric structures, active mud volcanoes, and historical subsurface hydrocarbon deposits. This study presents the first comprehensive geochemical assessment of surface soils from the Berca–Arbănași Subcarpathian zone, based on the analysis of 27 soil samples collected along three north–south transects and the determination of 12 potentially toxic elements (As, Cd, Co, Cr, Cu, Fe, Hg, Mn, Ni, Pb, V, Zn) using aqua regia digestion and ICP-MS. The local geochemical background was calculated using the iterative median ± 2MAD method. Twelve pollution and ecological risk indices were computed: the Pollution Index (PI), Contamination Factor (CF), Geoaccumulation Index (Igeo), Enrichment Factor (EF), Pollution Load Index (PLI), Modified Degree of Contamination (mCd), Nemerow Integrated Pollution Index (PINemerow), Ecological Risk Factor (E_rⁱ), Ecological Risk Index (RI), Mean Effect Range-Median Quotient (MERMQ), Degree of contamination (Cdeg), and the V/Ni petroleum origin indicator. Results show that 66.7% of samples are classified as polluted (PLI ≥ 1; mean = 1.102), with moderate enrichment in Cd, Cu, Hg, Pb, and Zn, attributable to diffuse anthropogenic sources. The ecological risk index (RI) remains low across all samples (mean = 35.96; all < 150), indicating that, despite moderate pollution, ecological risk is currently low. The V/Ni ratio (0.391–0.884, mean = 0.608) is below 1.0 for all samples, indicating a lithogenic (not petroleum) origin of vanadium and nickel and confirming a negligible geochemical impact of mud volcanoes and hydrocarbon extraction activities in the area at the sampled locations. The study establishes baseline geochemical reference values for the Berca–Arbănași area and provides data for sustainable land management, environmental monitoring, and evidence-based policymaking. These results directly support the objectives of the EU Soil Strategy 2030 and align with the United Nations Sustainable Development Goals on food security (SDG 2), good health and well-being (SDG 3), and life on land (SDG 15). Full article

Atmospheric bacteria and fungi are key components of urban bioaerosols, and their community structures are closely related to urban air quality, bioaerosol concentration, and environmental driving factors. However, the temporal dynamics and environmental drivers of bacterial and fungal community structures remain poorly characterized in megacities such as Shanghai, China. From November 2024 to November 2025, we conducted a year-long, cross-seasonal bioaerosol sampling and high-throughput DNA sequencing campaign to investigate the seasonal and diel variations, environmental covariation, and meteorological responses of atmospheric bacteria and fungi in Shanghai. The results show that seasonal transitions cannot significantly alter the α-diversity of bacterial or fungal communities, but significantly shift their community compositions, exhibiting a stronger differentiation for fungi than bacteria (PERMANOVA R² = 0.133 vs. 0.054, p = 0.001). At the diel scale, bacterial communities exhibit weak diurnal variation, whereas fungal communities display significantly higher nocturnal Chao1 richness and Shannon diversity, along with distinct compositional separation. Cladosporium and Alternaria are enriched during the day, while saprotrophic basidiomycetes such as Irpex and Trametes are more abundant at night. Fungal composition covaries most strongly with meteorological gradients governed by boundary layer height, clear-sky surface downward solar radiation, temperature, relative humidity, atmospheric pressure and visibility, whereas bacterial–environment associations are weaker. The Relative Exposure-Relevant Proportion (RERP), dominated by Cladosporium and Alternaria, is higher during daytime and negatively associated with relative humidity (β = −0.23, q = 0.001). During a strong cold-air event, bacterial communities shifted rapidly following immediate air mass replacement and high wind shear before stabilizing, whereas fungal communities underwent a more gradual and cumulative turnover. The RERP also elevated during this event, accompanied by a greater contribution from Talaromyces. These findings reveal contrasting dynamics between airborne bacteria and fungi under both background and transient synoptic disturbances, providing crucial observational insights for bioaerosol modeling and risk prediction in urban environments. Full article

The spatial distributions of the potential ecological risk index (RI) and the geoaccumulation index (Igeo) in soils of the Zhetysu region (Kazakhstan) were examined. The enrichment factor ranged from 39.4 for cadmium to 21,481 for nickel. There are few non-ferrous metal enterprises and mineral deposits located in the region. Soil sampling was conducted at 54 locations across the region. The contamination indices were calculated based on the concentrations of four heavy metals in the soil in 2025: copper (Cu), lead (Pb), cadmium (Cd), and nickel (Ni). The RI index varied across the study area within range of 53–353, with an average value of 129. The main points of high environmental risk are the Balkhash Lake’s eastern coast (RI = 318) and industrial city Tekeli (RI = 353). The Igeo values were as follows: Cu −0.61–3.82 (mean: 2.07); Pb −0.58–3.35 (mean: 0.49); Cd −2.91–2.15 (mean: −0.11); and Ni −4.23–4.17 (mean: 0.43). The transport of contaminants occurs under the influence of the wind regime and water erosion processes. Lead, cadmium, and nickel have a variation coefficient greater than 50, indicating metal particle transport from adjacent areas. Wind patterns in certain areas of the region determine the distribution of foci of high heavy-metal concentrations in the soil. Full article

Unsustainable agricultural practices and overreliance on chemical fertilizers have led to severe environmental issues, such as soil and water pollution, loss of biodiversity, and risks to human and animal health. Moreover, plant diseases continuously decrease crop productivity and threaten global food security. Therefore, there is a strong need to focus on sustainable agricultural practices. Microbial biofertilizers emerge as environment-friendly alternatives to chemical fertilizers that help in nutrient solubilization and availability, soil fertility, and plant growth promotion, in addition to curbing the application of chemical fertilizers. Microbial inoculants enhance agricultural yield by performing complementary roles, such as facilitating nutrient uptake through biological nitrogen fixation and phosphate solubilization, promoting plant growth via phytohormone synthesis, and mitigating diseases by activating plant defense responses. A 2025 meta-analysis of 107 field studies in China reported mean yield increases of 22.3% in wheat, 13.6% in rice, 12.8% in maize, and 65.4% in millet, while a field study in saline soil reported a 25% reduction in NPK fertilizer use in barley without reducing the grain yield. This review provides an overview of the major types of microbial biofertilizers, their modes of action, and their use in important cropping systems. Special emphasis is placed on microbial consortia that can enhance nutrient cycling, plant productivity, and tolerance to abiotic stress factors. The application of nanotechnology, genetically engineered microorganisms, and combinations of microbial inoculants with organic waste are some strategies that could be adopted for next-generation biofertilizer development. The review also addresses the major hurdles in the formulation, field performance, and commercialization of microbial biofertilizers. Future perspectives revolve around optimizing microbial formulations, applying advanced biotechnological tools, and developing enabling policies for the rapid adoption of microbial biofertilizers for sustainable agriculture. Full article

Climate change is increasing the frequency and intensity of extreme heat events, raising concern about prenatal thermal exposure as a potential risk factor for fetal brain development and offspring neurodevelopment. This systematic review aimed to synthesize evidence on prenatal heat exposure, placental inflammatory or stress-response pathways, and fetal or offspring neurodevelopmental outcomes, while evaluating the placenta–brain axis as a proposed mechanistic hypothesis rather than an established causal pathway. A systematic literature search was conducted in PubMed/MEDLINE, Scopus, Web of Science, Google Scholar, and Embase from database inception to 30 June 2026. Human observational studies, animal experiments, and in vitro mechanistic studies were included when they examined prenatal thermal exposure in relation to either placental function and stress-response mechanisms or fetal-brain and offspring neurodevelopmental outcomes. Ambient environmental heat, infectious fever, behavioral or exogenous heat exposure, experimental maternal hyperthermia, and direct cellular or organoid thermal stimulation were considered separately because these exposures are not biologically equivalent. Across the included studies, distinct prenatal thermal exposures—including ambient environmental heat, infectious fever, behavioral or exogenous heating, and experimentally induced hyperthermia—were associated with congenital central nervous system anomalies, including neural tube defects, as well as later outcomes such as neurodevelopmental delay, language impairment, autism spectrum disorder, cerebral palsy, and altered child-brain morphology. The strongest and most consistent early-pregnancy signal concerned neural tube defects during the periconceptional and neurulation periods, whereas evidence for later neurodevelopmental outcomes identified more heterogeneous susceptibility windows across gestation. Experimental evidence suggested alterations in placental barrier function, glucocorticoid and serotonin-related signaling, inflammatory and oxidative pathways, myelination, apoptosis, and neural-progenitor development. However, only one included experimental study jointly assessed maternal heat stress, placental alterations, and fetal-brain-related outcomes, while the human studies did not measure placental mediators or perform mediation analyses. Evidence from non-heat inflammatory studies therefore provides only indirect mechanistic context. Overall, prenatal heat exposure may contribute to neurodevelopmental vulnerability through multiple direct and indirect pathways, including a biologically plausible but unproven placenta–brain framework. Prospective studies integrating individual-level heat assessment, placental biomarkers, standardized fetal-brain imaging, and longitudinal neurodevelopmental follow-up are required to test this hypothesis. Full article

Environmental, social, and governance (ESG) quality cannot be directly observed because substantial disagreement across rating providers contaminates the observed ESG scores with measurement error. This paper addresses this problem by modelling the true ESG state as a latent, vector-valued Itô diffusion defined on a filtered probability space whose information set is progressively enlarged by FinTech signals. We establish the well-posedness of the latent ESG process, prove the existence of an equivalent martingale measure under an explicit exponential-moment condition, and solve an ESG-constrained portfolio problem under a wealth-scaled sustainability constraint through a Hamilton–Jacobi–Bellman verification theorem. Computationally, raw sustainability information is extracted from SEC Form 10-K filings using a FinBERT transformer architecture and incorporated into a linear Gaussian state-space model, where the latent ESG state is recovered via Kalman filtering. Theoretical results are then linked to asset pricing, portfolio allocation, and systemic risk networks through a common filtered ESG factor. Using an unbalanced panel of 1086 U.S. listed firms over 2011–2023 and ESG information from MSCI, Refinitiv, and Sustainalytics, we document substantial provider disagreement and show that the observed ESG ratings contain significant transitory measurement noise. The filtered ESG state exhibits higher reliability, lower noise, and greater persistence than individual provider scores. In asset pricing tests, the latent ESG state predicts future excess returns, whereas a composite provider-based ESG measure does not; a one-standard-deviation increase in the latent ESG state is associated with approximately 0.35 percentage points higher monthly excess returns (about 4.3% annualised). When both measures are included simultaneously, only the filtered ESG state retains explanatory power. Out-of-sample portfolio tests show that a latent ESG strategy achieves a Sharpe ratio of 0.72, significantly exceeding both an unconstrained benchmark (0.59) and a composite ESG screen strategy (0.55). At the network level, ESG-adjusted weighting attenuates systemic fragility by reducing the spectral abscissa from 0.34 to 0.21, with the mitigating effect remaining significant under permutation-based placebo tests. Overall, the evidence supports the central hypothesis that ESG measurement error attenuates the observed pricing effects and that FinTech-enabled filtering recovers economically meaningful sustainability information relevant for asset pricing, portfolio construction, and systemic risk assessment. Full article

Chronic infection with Helicobacter pylori (H. pylori) is a major environmental risk factor for gastric carcinogenesis. Malignancy is largely driven by variations within the virulence factor CagA, with East Asian lineages exhibiting higher oncogenic potential than Western ones. However, how these variants modulate cellular crosstalk remains poorly understood. We integrated molecular dynamics (MD) simulations with single-cell transcriptomics across progressive disease stages, including chronic atrophic gastritis, intestinal metaplasia, and gastric cancer. Local niche remodeling was evaluated via cell–cell communication profiling among epithelial, stromal, and immune circuits, while simulations of MARK2 kinase bound to distinct CagA lineages determined binding affinities. Single-cell analysis revealed that H. pylori toxicity progressively dampens epithelial–stromal crosstalk, marked by severe epithelial polarity aberrations that disrupt neuroendocrine-like secretory and synaptic pathways during malignant transformation. Mechanistically, MD simulations and MM/GBSA calculations demonstrated that East Asian CagA lineages exhibit higher binding affinity toward host MARK2 than Western lineages. Specific East Asian amino acid substitutions dramatically tighten the protein interface, driving stronger signaling perturbations. This study bridges atomistic structural virulence with microenvironmental shifting, establishing geographic CagA toxicity divergence as a critical determinant for pathogen-driven gastric cancer risk. Full article

Background: Climate change is being recognized as a factor associated with increased suicidal behavior, especially in the older adult population. Extreme temperatures, thermal anomalies, and intense weather events can amplify pre-existing physical, psychological, and social vulnerabilities, increasing the risk of suicidal ideation and behavior in older adults. Objectives: This systematic review aims to map the literature on the relationship between climate change and suicidal behavior in older people, identifying risk and protective factors, as well as the prevention and intervention strategies aimed at this age group. Methods: A systematic review was conducted according to PRISMA guidelines. The literature search was performed in the EBSCO PsycINFO, Scopus and MEDLINE (PubMed) databases in the period 2007–2025, using combinations of the keywords “climate change”, “global warming”, “older adults”, “elderly”, “suicide”, “suicidal ideation” and related terms. Out of 35 studies, 16 articles were included in the final analysis. Results: Five thematic areas emerged from the analysis of the studies: (1) risk factors, (2) protective factors, (3) sociodemographic factors, (4) prevention and intervention strategies and (5) variables associated with suicidal behavior. Across the included studies, suicidal ideation, non-fatal attempts, and suicide mortality were examined with differing frequency and are reported separately in the thematic synthesis rather than pooled, reflecting the heterogeneity of outcome definitions and study designs. Significant limitations in the literature remain, including the paucity of longitudinal studies, the widespread use of aggregate data and the limited integration of environmental, social, and psychological factors. Conclusions: Climate change and extreme weather events may contribute to suicidal behavior in older adults. It is therefore necessary to develop multidimensional approaches that address structural vulnerabilities and promote the active role of older adults in climate resilience and social cohesion. Full article

Understanding how lightning interacts with environmental conditions to ignite wildfires is key to improving fire risk assessments. While previous studies have explored the role of lightning characteristics and environmental conditions in fire ignition on regional scales, a comprehensive analysis across the contiguous United States (CONUS) is lacking. This study investigates the influence of both lightning characteristics and environmental conditions on lightning-ignited wildfires from 2016 to 2020 using high-resolution lightning, precipitation, meteorological, and land cover datasets. By matching over 25,000 lightning-ignited wildfires (LIWs) to nearby lightning events, we distinguish between fire-initiating (FL) and non-fire lightning (NFL) and analyze key variables including lightning peak current, flash multiplicity, precipitation, fuel moisture, vapor pressure deficit, and vegetation type. Results show that fire lightning tends to have lower multiplicity and slightly higher peak current, and occurs under drier atmospheric and fuel moisture environments. Precipitation accumulated over 1 h and 24 h prior to LIWs shows the largest effect-size difference between FL and NFL, followed by fuel moisture and energy release component. Among vegetation types, evergreen needleleaf forests and grasslands show the highest relative ignition efficiency. Regional analysis across National Climate Assessment regions reveals notable variation in the relative importance of these factors, with eastern regions showing stronger sensitivity to precipitation and fuel moisture compared to western regions. We also find that holdover fires, discovered more than 24 h after ignition, occur under wetter conditions compared to promptly detected fires. These findings highlight the dominant role of environmental conditions in lightning fire ignition and emphasize the need for region-specific fire management strategies. Full article