Natural Fire Research Articles

Burned Lithics: An Experimental Approach to Characterize the Effects of Fire on the Lithic Archaeological Record of Northern Patagonia, Argentina

ABSTRACT A field-based experiment was carried out to assess the impact of heat on lithic raw materials commonly used for knapping tools along the north Patagonian coast of Argentina. Descriptive data for the experimental items were recorded both before and after exposure to fire. Through network analysis, we explore the relationship between variables to establish the co-occurring of traits resulting from the material’s exposure to heat. Statistical analysis of network topology allows us to identify clusters of variables, which were categorized into morphological, mechanical, and pseudo-technological groups. These findings indicate that alterations within the same category covary more than those across different categories. The results obtained are relevant to addressing taphonomic issues in the northern coast of Patagonia, where frequent fire seasons affect surface sites. Ultimately, we aim to characterize these traits and build a reference framework to compare the transformations observed in the lithic archaeological record caused by natural fires.

Estimating the effective char depth in structural timber elements exposed to natural fires, considering the heating and cooling phase

This research study investigates the effect of different heating and cooling regimes on the effective cross-section of timber elements exposed to natural fires. An advanced calculation method based on a 1D finite-difference heat transfer model and effective thermo-physical properties is adopted to analyse the heat penetration and the consequent reduction in mechanical properties. In particular, the research focuses on the evolution and penetration speed of the char depth (300 °C isotherm) and zero-strength layer (determined through in-depth temperatures and reduced mechanical properties). Results reveal how the char depth mainly develops during the heating phase, with non-negligible contributions from the cooling phase. In contrast, the zero-strength layer increases throughout the whole fire exposure, particularly during cooling and, possibly, after the end of the cooling phase. In general, the heating phase contributes about 2/3 to the total effective char depth, while the cooling phase about 1/3. The most challenging conditions were found for the fires of the longest durations (heating and overall), corresponding to low ventilation and high fuel load density conditions. The study emphasises the necessity of incorporating the cooling phase in performance-based methodologies for fire-safe timber structures to avoid under-estimating heat penetration effects.

Modelling the present and future of Phrynosoma orbiculare habitat and wildfire distribution and their environmental niche overlap in Mexico

Wildfires are natural phenomena that have shaped ecosystems and maintained biodiversity for millions of years. However, the increased frequency and severity of wildfires in recent decades are predominantly attributed to human activities. These anthropogenic factors, including land use change, climate change, and fire suppression, have disrupted the natural fire regime and heightened the risk of large-scale, destructive wildfires. Reptiles, as ectothermic and often slow-moving animals, are particularly vulnerable to the effects of fires due to their limited mobility and reliance on specific microhabitats. Understanding the impacts of wildfires on reptile populations is crucial for their effective conservation and management in fire-prone areas. This paper focuses on Phrynosoma orbiculare, a species distributed across the northern and southeastern regions of Mexico, where wildfires are common. The study revealed that key environmental variables driving the distribution of P. orbiculare include altitude, temperature extremes, and forest composition, while fire occurrence is strongly influenced by climatic conditions such as temperature and precipitation. As fires become more frequent and severe, the niche overlap between P. orbiculare and fire-prone regions is expected to expand. These findings highlight the importance of integrating fire management into conservation planning, particularly for protecting fire-sensitive ecosystems like Abies forests. Understanding the complex interaction between fire and species distributions is essential for developing effective conservation strategies that ensure the survival of P. orbiculare and other fire-sensitive species in Mexico’s changing landscapes.

Satellite derived air pollution climatology over India and its neighboring regions: Spatio-temporal trends and insights

This study examines the spatial and temporal variations of key air pollutants, including Nitrogen Dioxide (NO₂), Carbon Monoxide (CO), Tropospheric Ozone (O₃), Sulfur Dioxide (SO₂), Aerosol Optical Depth (AOD), and Formaldehyde (HCHO) over India and neighboring regions, using satellite data from 2005 to 2022. Peak NO₂ (∼11–13 × 101⁵molecules/cm2) occurs in pre-monsoon and winter, mainly over urban centers, thermal plants, and crop-burning areas, emphasizing anthropogenic emissions. High CO levels (2.0–2.3 × 101⁸molecules/cm2) during summer dominate in Indo-Gangetic Plains (IGP), Eastern India, and Northeastern region, linked to the incomplete combustion of organic matter (e.g., natural forest fires and biofuel-based household cooking). Stable CO trends reflect effective government policies promoting cleaner fuels. Tropospheric O₃ shows a spatial gradient, with higher values in northern and coastal regions influenced by sunlight, humidity, and precursor emissions. Seasonal peaks in summer are governed by solar intensity, while the December peak over the northern region is likely due to dynamical transport from O₃-rich areas. SO₂ hotspots in IGP, central and eastern India, especially during winter (∼1.3–1.9 × 101⁵molecules/cm2), are attributed to local anthropogenic emissions and fossil fuel combustion such as coal. Long-term trends reveal rising SO₂ levels. AOD hotspots occur over IGP, Central and Southern India, with particularly high values during the pre-monsoon (0.5–0.6) and winter seasons. HCHO shows hotspots in the IGP, west coast, eastern, and northeastern regions, peaking in summer (7.5–8.5 × 101⁵molecules/cm2) due to biogenic VOC emissions. This study underscores the need for integrated policies to mitigate emissions, improve air quality, and protect public health.

Non‐native invasive plants in tropical dry forests: a global review of presence, impacts, and management

Tropical dry forests (TDF) are among the most‐threatened terrestrial ecosystems, experiencing ongoing conversion to agricultural fields, pasture, and human settlements. Human disturbances are often precursors to invasion of ecosystems by non‐native species, but research on invasion patterns in tropical ecosystems is sparse, and there is no comprehensive synthesis of invasive species in TDF. We conducted a review of published scientific literature to catalog and synthesize information about invasion by non‐native plants in TDF ecosystems across the globe, drawing out patterns in the invasion of these ecosystems. We found that 130 invasive plant species were documented as present in TDF, but only 25 of these species were mentioned in three or more articles. Almost all 25 of these more‐studied invasive species—mostly pasture grasses, woody legumes, and climbers—have been intentionally cultivated for agricultural or ornamental purposes. Many of these plants are native to open‐canopy savanna or forest edge habitats and benefit from human‐altered disturbance regimes (burning, grazing, and fuelwood and timber harvesting) of TDF fragments within agricultural landscapes. Field studies show that management approaches incorporating invasive removal, native plantings, and reduction in agricultural disturbance (e.g. ungulate fencing and fire control) simultaneously are often the most successful at reducing invasive plant cover. However, management studies in TDF have focused on a limited number of invasive species, and most were conducted in India and Hawaii. Global differences in TDF soils, natural fire regimes, and historic and current land use by humans influence modern biogeographic patterns of invasion and the feasibility of restoration options.

Analysis of forest fire dangers of the Bryansk region in the zones of radioactive contamination and beyond

The purpose of the study is to analyze the forest fire dangers of the Bryansk region forests, taking into account their radioactive contamination and potential risks for forestry workers involved in forest fires extinguishing. Significant areas of radioactive contamination of forests with a predominance of sites belonging to the classes of high and very high natural fire danger, restrictions on economic activity and a long fire-hazardous period contribute to the occurrence of radioactive forest fires. The analysis of the combined data on forest fires and radioactive contamination of forest areas showed that most forest fires occur outside the zones of radioactive contamination and are not radioactive. The largest number of fires occurs at the beginning of the fire season. Radioactive forest fires in most cases arise from the burning of dry grassy vegetation, as a result of the transition from lands of other categories and through the fault of the population. The average effective dose of additional radiation per a workday can be estimated at 1.96 μSv, and the maximum at ~ 15.4 μSv. Most fires are extinguished in the early stages and do not have time to cover large areas. It indicates the effective work of the forest fire service

The key results of studies of benzo(a)pyrene in natural and man-made environments of the Southern Baikal region (2016–2024)

The study aims to provide a retrospective review of the results of studies of benz(a)pyrene in the natural and man-made environments of the Southern Baikal region. The study was conducted with staff, students, and postgraduates at the Department of Industrial Ecology and Railways of the Institute of Subsoil Use of Irkutsk National Research Technical University in 2016-2024. The article is devoted to the 75th anniversary of the department. The atmospheric air in the cities of Irkutsk and Krasnoyarsk regions was assessed based on the results of monitoring of the content of benzо(a)pyrene. Its carcinogenic risks to public health were determined. The results of the systematic study of the sources of emissions into the atmosphere of benzо(a)pyrene and its analogues of polycyclic aromatic hydrocarbons were analyzed. Anthropogenic and man-made (aluminum production, low-power heat sources, highways) and natural (forest fires) sources of benzо(a)pyrene release were identified by assessing its mass load. The indicators of sources of atmospheric pollution - snow cover, soils, plants - were identified. Correlations between atmospheric air pollution and health (neoplasms) of the Irkutsk region population were determined found. The distribution of benzо(a)pyrene in the systems of conjugated objects of the biosphere was studied: “source of emissions - atmospheric air - snow cover”, “soil - plant”, “water - hydrobionts”. Patterns indicating a new source of atmospheric pollution with carcinogenic polycyclic aromatic hydrocarbons - natural fires, which can affect the morbidity of the population of the Southern Baikal region - were obtained.

Natural Fires in the Larch Forest of the Cryolithozone: Monitoring and Firefighting Strategy under the Conditions of a Changing Climate

Natural Fires in the Larch Forest of the Cryolithozone: Monitoring and Firefighting Strategy under the Conditions of a Changing Climate

Evaluation of Natural Fire Hazard Factors of the Forest Area in the Kostanay Region

Evaluation of Natural Fire Hazard Factors of the Forest Area in the Kostanay Region

INCÊNDIO FLORESTAIS NO BIOMA CERRADO: PREVENÇÃO E COMBATE

The Cerrado is a biome of gre a importance for Brazil’s bio diversity, but it has been suffering a great deal of degradation, especially since the 1950s, with the high number of fires being a major concern. This text the reforest aims to discuss fire prevention and fire fighting in the Cerrado biome, based on a the oretical discussion base do nauthorssuch as Kirchhoff (1992), Batista (1995), Coutinho (2000), Oliveira et al. (2023), am on go theirs. The variety of fire sand their consequences emend a holistic approach and a unified response. While natural fires can be part of the ecological cycle, fires cause da accidental your intentionally often result in serious us environment a damage. It is sentialto combine education, technology, Effie client public policies and community collaboration to sustainably manage fire and protect essential ecosystem end smoothly in Brazil, but also globally. Therefore, preserving the Cerrado is indispensable to guarantee the mains en an cantonal you its natural biodiversity, but also of an important economic system, and legislation an human action are essential in combating and preventing fires.

A Reactor-Network Framework to Model Performance and Emissions of a Longitudinally-Staged Combustion System for Carbon-Free Fuels

Abstract Hydrogen and ammonia are considered crucial carbon-free energy carriers optimally suited for seasonal chemical storage and energy system balance. In this context, longitudinally-staged combustion systems (LSC) represent an attractive technology for achieving low emissions while conserving high load and fuel flexibility at high efficiency. While these two-stage combustion systems have been successfully implemented for natural gas and hydrogen firing of gas turbines, optimal operation with ammonia-based fuel mixtures not yet established. Recent works have shown that ammonia can be combusted with low emissions in gas turbines by employing a Rich-Quench-Lean operational concept where a slightly rich fuel-air mixture is burnt in the first-stage followed by dilution air addition, which completely oxidizes the remaining unburnt fuel. However, an optimal operational strategy to efficiently combust all three fuels within the same system is yet to be established. In this work, we exploit a reactors-network framework to efficiently investigate the emissions performance of a LSC system fired with natural gas, hydrogen and ammonia. Firstly, the framework is validated with experimental and computational emission results in the literature. Secondly, the optimal operational strategy (in terms of fuel- and air-split between the stages) for clean and efficient ammonia-firing operation is found. Thirdly, the consequences of such ammonia-optimized operational strategy on flame stabilization and emissions with natural gas- and hydrogen are considered. Finally, the air and fuel distribution for optimal performance and minimal emissions for all three fuels is found for the LSC system.

Применение методов пространственного анализа при оценке степени горимости лесов Хабаровского края

Forest fires are the dominant factor in the transformation of natural landscapes in the boreal zone. The area of the Khabarovsk Territory, 93.6 % of which belongs to the forest fund lands, currently has a forest cover of only 66.5 %, which is largely due to forest fires. This makes urgent the problem of reducing the forest fire frequency in the region, including in terms of assessing the actual fire frequency for predicting the risks of landscape fires. The article shows the possibilities of using spatial analysis methods of the Spatial Analyst module of the ArcGIS 10.8 software package to assess the degree of actual forest fire frequency based on calculating the number of fires per 1 million and 250 thousand ha and the area of fires per 1000 ha for a sliding window of a given size. Based on the data from the Remote Monitoring Information System of the Federal Forestry Agency for 2000–2020 and the data on the number of fires from the Fire Information for Resource Management System website for 2000–2021, an assessment of the actual fire frequency for the Khabarovsk Territory has been carried out. The analysis of the results reflects the high spatial and seasonal heterogeneity of the spread of landscape fires in the territory and their proximity to transport and residential structures. Areas with high fire frequency often do not coincide with the boundaries of forestry enterprises, and the maximum indicators are typical for non-forest areas that are not covered by forestry statistics. For different seasons of the year, along with quantitative differences, spatial shifts of firing points and areas with their high density are also observed. Most of the lands in the region (88.3 %) in terms of fire danger belong to the “low” and “below medium” fire frequency categories, which is primarily due to the low degree of development of these areas. The assessment of the degree of fire frequency in the territory on the basis of annual and seasonal maps of the density of firing points, calculated using the sliding window method, makes it possible to fairly objectively and in detail reflect the average long-term risk of fire occurence outside of reference to forestry boundaries. In combination with a map of the distribution of forests by natural fire hazard classes based on pyrological characteristics, the results of the reseаrch can become the basis for calculating the background fire risk, reflecting the risk of fire occurrence and development.

Surveyen in de as: een unieke veldverkenning op Timpone delle Fave (Zuid-Italië)

Surveying through the ashes: a unique fieldwalking survey at Timpone delle Fave (Southern Italy)Since the year 2000, the proto-historic site of Timpone delle Fave (Calabria) has been investigated within the framework of the Groningen Raganello Archaeological Project. Even though it is normally covered with dense vegetation, until recently the site had only been investigated through fieldwalking surveys. During the fieldwork campaign of 2021, a unique opportunity presented itself when a natural fire cleared the entire hilltop of vegetation. In the following days, a large part of the hilltop was systematically surveyed. This yielded remarkable new results; occupation appeared to be spread over a much larger area than originally thought, and several new phases were recognized. These new insights add to our knowledge of the site, but also point to biases caused by visibility and landuse. In this paper, we present the preliminary results of the survey and briefly consider the implications of how these unique circumstances caused different results compared to earlier surveys.

Testing and evaluation of light clothing properties used in fire and rescue service units

In the testing room for examination products of the Fire Engineering and Expert Institute (FEEI) of the Ministry of the Interior of the Slovak Republic in Bratislava, the Slovak National Accreditation Service SNAS has granted accreditation. Accredited testing room with identification number no. S-084 performs tests applied in the field of personal protective equipment. The goal is to specify, determine, and, above all, verify the selected characteristics for emergency clothing (light emergency clothing - LEC) used by firefighters and rescuers in the Fire and Rescue Service units to determine the conditions for procurement and quality control of the LEC supplied. The results obtained during the examination of the properties of light emergency clothing will be used in the next steps of the research of the Product Assessment Department (PAD) FEEI of the Ministry of the Interior of the Slovak Republic. In contrast, individual parameters can be used to design new LEC. The basic meaning and purpose of any protective means are to protect a person who intervenes in a dangerous environment contaminated with chemical, biological or radioactive substances, for example, in industrial accidents connected with the release of dangerous substances (HAZMAT), in accidents of vehicles transporting HAZMAT and natural disasters or fires of various nature. Protecting from the external environment is one of the favourable inherent properties of personal protective work equipment (PPE).

Differences in the intensity of past forest fire events inferred from stable oxygen isotope analysis of charred bark

Understanding past fire regimes requires reliable proxy data that record fire conditions and preserve them over time. The objective of this study was to determine if the oxygen isotope composition of charred bark samples (pyrogenic organic matter) could be used as proxy data to differentiate wildfires based on burn intensity. We collected charred and uncharred bark samples from three fire sites in northern Ontario, Canada that represented a gradient of fire intensity as depicted by Fire Weather Index (FWI) data. We hypothesized that the mean Δ18Obark-char (the difference between δ18O of uncharred bark and a charred sample) would be greater for fires with higher intensities. Analysis of variance of Δ18Obark-char indicated a significant effect of fire event ( F = 73.6, p < 0.001), which explained 57.0% of the variance. A prescribed surface fire treatment (mean FWI = 9.5) had significantly lower Δ18Obark-char than two natural crown fires (FWI = 21 and 27). These results demonstrate that Δ18Obark-char differentiated moderate from high intensity fires in a similar manner to the FWI data.

Status and Prospects for the Use of Remote Sensing Data for the Detection of Wildfires

The article discusses the problem of fires as a serious threat to life, economy and ecosystems, highlighting the need for early detection and suppression of fires. The potential of the combination of Earth remote sensing and neural networks for rapid and accurate detection of natural fires is studied. The significance of applying artificial intelligence, the development of deep learning methods for neural network models, to analyze space images and detect early signs of fires is emphasized. The article also provides examples of successful projects and research in the field of wildfire detection. The final part of the paper emphasizes the need for further research and development of neural network training methods, expansion of training datasets and improvement of space imagery acquisition technologies for effective control and prevention of fires, in order to protect the environment and minimize damage to people.

Synaptic reorganization of synchronized neuronal networks with synaptic weight and structural plasticity.

Abnormally strong neural synchronization may impair brain function, as observed in several brain disorders. We computationally study how neuronal dynamics, synaptic weights, and network structure co-emerge, in particular, during (de)synchronization processes and how they are affected by external perturbation. To investigate the impact of different types of plasticity mechanisms, we combine a network of excitatory integrate-and-fire neurons with different synaptic weight and/or structural plasticity mechanisms: (i) only spike-timing-dependent plasticity (STDP), (ii) only homeostatic structural plasticity (hSP), i.e., without weight-dependent pruning and without STDP, (iii) a combination of STDP and hSP, i.e., without weight-dependent pruning, and (iv) a combination of STDP and structural plasticity (SP) that includes hSP and weight-dependent pruning. To accommodate the diverse time scales of neuronal firing, STDP, and SP, we introduce a simple stochastic SP model, enabling detailed numerical analyses. With tools from network theory, we reveal that structural reorganization may remarkably enhance the network's level of synchrony. When weaker contacts are preferentially eliminated by weight-dependent pruning, synchrony is achieved with significantly sparser connections than in randomly structured networks in the STDP-only model. In particular, the strengthening of contacts from neurons with higher natural firing rates to those with lower rates and the weakening of contacts in the opposite direction, followed by selective removal of weak contacts, allows for strong synchrony with fewer connections. This activity-led network reorganization results in the emergence of degree-frequency, degree-degree correlations, and a mixture of degree assortativity. We compare the stimulation-induced desynchronization of synchronized states in the STDP-only model (i) with the desynchronization of models (iii) and (iv). The latter require stimuli of significantly higher intensity to achieve long-term desynchronization. These findings may inform future pre-clinical and clinical studies with invasive or non-invasive stimulus modalities aiming at inducing long-lasting relief of symptoms, e.g., in Parkinson's disease.

Photogrammetric Measurement of Grassland Fire Spread: Techniques and Challenges with Low-Cost Unmanned Aerial Vehicles

The spread of natural fires is a complex issue, as its mathematical modeling needs to consider many parameters. Therefore, the results of such modeling always need to be validated by comparison with experimental measurements under real-world conditions. Remote sensing with the support of satellite or aerial sensors has long been used for this purpose. In this article, we focused on data collection with an unmanned aerial vehicle (UAV), which was used both for creating a digital surface model and for dynamic monitoring of the spread of controlled grassland fires in the visible spectrum. We subsequently tested the impact of various processing settings on the accuracy of the digital elevation model (DEM) and orthophotos, which are commonly used as a basis for analyzing fire spread. For the DEM generated from images taken during the final flight after the fire, deviations did not exceed 0.1 m compared to the reference model from LiDAR. Scale errors in the model with only approximal WGS84 exterior orientation parameters did not exceed a relative accuracy of 1:500, and possible deformations of the DEM up to 0.5 m in height had a minimal impact on determining the rate of fire spread, even with oblique images taken at an angle of 45°. The results of the experiments highlight the advantages of using low-cost SfM photogrammetry and provide an overview of potential issues encountered in measuring and performing photogrammetric processing of fire spread.

Farmers Perceptions towards Agricultural Insurance Schemes in Southern Rajasthan: The Case of National Agricultural Insurance Scheme (NAIS) and Weather Base Crop Insurance Scheme (WBCIS)

Crop insurance is an insurance prearrangement aiming at mitigate the financial losses suffered by the farmers due to damage of their crops due to various production risks beyond their control like natural fire, weather, floods, pests, diseases etc. Government of India started offering crop insurance in 1985, with the Comprehensive Crop Insurance Scheme. This encourages farmers to carry on with their productive efforts, which not only improves the welfare of the farmers but finally helps in stabilizing the agricultural output. In total majority of respondents, the insured loanee farmers 88 (88/150) (58.70 per cent) stated favourable attitude, while 35 (35/150) (23.30 per cent) could be found under less favourable category. The 27 (27/150) (18.00 per cent) farmers reported under highly favourable proportion. Statement wise attitude of insured loanee farmers in five-point continuum recorded most favourable attitude with mean per cent score 81.52, 78.17, 77.49 and 71.50 and placed at 1st, 2nd, 3rd and 4th respectively. This stated that the farmers can sustain natural calamities and compensation is available in time.

Multitemporal Dynamics of Fuels in Forest Systems Present in the Colombian Orinoco River Basin Forests

In Colombia’s Orinoco, wildfires have a profound impact on ecosystem dynamics, particularly affecting savannas and forest–savanna transitions. Human activities have disrupted the natural fire regime, leading to increased wildfire frequency due to changes in land use, deforestation, and climate change. Despite extensive research on fire monitoring and prediction, the quantification of fuel accumulation, a critical factor in fire incidence, remains inadequately explored. This study addresses this gap by quantifying dead organic material (detritus) accumulation and identifying influencing factors. Using Brown transects across forests with varying fire intensities, we assessed fuel loads and characterized variables related to detritus accumulation over time. Employing factor analysis, principal components analysis, and a generalized linear mixed model, we determined the effects of various factors. Our findings reveal significant variations in biomass accumulation patterns influenced by factors such as thickness, wet and dry mass, density, gravity, porosity, and moisture content. Additionally, a decrease in fuel load over time was attributed to increased precipitation from three La Niña events. These insights enable more accurate fire predictions and inform targeted forest management strategies for fire prevention and mitigation, thereby enhancing our understanding of fire ecology in the Orinoco basin and guiding effective conservation practices.