Fire Severity Research Articles

Correlating Fire Incidents with Meteorological Variables in Dry Temperate Forest

Forest fires pose a significant ecological threat, particularly in the Diamer District, Gilgit-Baltistan, Pakistan, where climatic factors combined with human activities have resulted in severe fire incidents. The present study sought to investigate the correlation between the incidence of forest fires and critical meteorological elements, including temperature, humidity, precipitation, and wind speed, over a period of 25 years, from 1998 to 2023. We analyzed 169 recorded fire events, collectively burning approximately 109,400 hectares of forest land. Employing sophisticated machine learning algorithms, Random Forest (RF), and Gradient Boosting Machine (GBM) revealed that temperature and relative humidity during the critical fire season, which spans May through July, are key factors influencing fire activity. Conversely, wind speed was found to have a negligible impact. The RF model demonstrated superior predictive accuracy compared to the GBM model, achieving an RMSE of 5803.69 and accounting for 49.47% of the variance in the burned area. This study presents a novel methodology for predictive fire risk modeling under climate change scenarios in the region, offering significant insights into fire management strategies. Our results underscore the necessity for real-time early warning systems and adaptive management strategies to mitigate the frequency and intensity of escalating forest fires driven by climate change.

Effects of fire recurrence and severity on Mediterranean vegetation dynamics: Implications for structure and composition in southern Spain.

Most Mediterranean ecosystems have been profoundly shaped by wildfires, driving the evolution of plant species. Through photo interpretation and field inventories, this research assessed vegetation dynamics from 1984 to 2021, examining how fire severity and recurrence, key fire regime variables, influenced changes in structure and woody species diversity. Using two burn scars (1988 and 2006), we identified four scenarios dominated by Pinus pinea tree species: control (unburned), areas burned once (either in 1988 or 2006), and twice (in both 1988 and 2006). Areas affected by two high-severity fires experienced the most pronounced expansion of dense shrubland. However, when fire severity was moderate, wildfires led to a significant decline in understory cover in dense and open forests. Pinus pinea regeneration was influenced by fire severity and recurrence. It was absent in areas burned twice with at least one high-severity fire but showed an increased compared to control areas in areas burned with moderate fire severity without recurrence. Wildfires increased biodiversity, particularly in areas burned with high severity. The Sørensen and Jaccard indices showed the highest species diversity recovery in dense forest understory after a single moderate-severity fire in 1988. This study offers a novel approach by considering both fire recurrence and severity, along with a medium-term timeframe, in contrast to most studies focusing on short-term vegetation dynamics after single fires. Monitoring spatio-temporal dynamics is crucial for guiding ecological restoration and wildfire prevention strategies.

Frequent, heterogenous fire supports a forest owl assemblage.

Fire shapes biodiversity in many forested ecosystems, but historical management practices and anthropogenic climate change have led to larger, more severe fires that threaten many animal species where such disturbances do not occur naturally. As predators, owls can play important ecological roles in biological communities, but how changing fire regimes affect individual species and species assemblages is largely unknown. Here, we examined the impact of fire severity, history, and configuration over the past 35 years on an assemblage of six forest owl species in the Sierra Nevada, California, using ecosystem-scale passive acoustic monitoring. While the negative impacts of fire on this assemblage appeared to be ephemeral (1-4 years in duration), spotted owls avoided sites burned at high-severity for up to two decades after a fire. Low- to moderate-severity fire benefited small cavity-nesting species and great horned owls. Most forest owl species in this study appeared adapted to fire within the region's natural range of variation, characterized by higher proportions of low- to moderate-severity fire and relatively less high-severity fire. While some species in this assemblage may be more resilient to severe wildfire than others, novel "megafires" that are larger, more frequent, and contiguously severe may limit the distribution of this assemblage by reducing the prevalence of low- to moderate-severity fire and eliminating habitat for a closed-canopy species for multiple decades. Management strategies that restore historical low- to moderate-severity fire with small patches of high-severity fire and promote a mosaic of forest conditions will likely facilitate the conservation of this assemblage of forest predators.

Simulating fuel management for protecting regional biodiversity under climate change.

Climate change is resulting in larger, more frequent, and more severe wildfires which have increasingly negative impacts on people and the environment. Under these circumstances, it is critical to determine whether fire management actions can mitigate biodiversity impacts under future fire regimes. However, it is currently unclear how changing climate and management interact to influence the spatial distribution of risks to biodiversity. We used fire simulations to quantify the influence of 13 fuel management strategies on animal biodiversity in the Otways, southeastern Australia, under four alternative climate scenarios. Our management strategies include combinations of prescribed burning, mulching, and strategic fuel breaks modelled in various spatial configurations and frequencies. We assessed the capacity of treatments to reduce risk of fire to animal biodiversity by quantifying changes to extent burnt, wildfire frequency and wildfire severity. All management strategies reduced the average annual area burnt across the landscape, however, there was considerable variability over time and under different climate models. Similarly, spatial shifts in fire frequency and severity in some cases resulted in the shifting of fires away from some areas of high value to animals. There is no one size fits all management strategy for reducing impacts to biodiversity under variable future climates. However, all the strategies tested here reduced median impacts relative to a do-nothing approach for at least some aspects of the fire regime or for animal biodiversity. We highlight the importance of evaluating fire management effectiveness against a range of metrics to ensure multiple objectives are met under the increasingly unknown climate conditions we can expect going forward.

Synergistic approaches in forest fire risk mapping using fuzzy AHP and machine learning models in the Chure Tarai Madhesh Landscape (CTML) of Nepal

Forest fires are recurrent natural hazards threatening ecosystems, biodiversity, and nearby communities. The Chure Tarai Madhesh Landscape (CTML) is a biodiversity hotspot harboring endangered species of flora and fauna. The increasing severity of forest fires in this region has raised immediate concerns, yet research remains limited. This study explores synergistic approaches for forest fire risk mapping using a knowledge-based model (Fuzzy Analytical Hierarchy Process (FAHP)) and data-driven models (Random Forest (RF) and Boosted Regression Tree (BRT)). This study utilized eleven conditioning factors and assessed model accuracy using the ROC curve and multiclass error matrix. The results demonstrate low multicollinearity among factors and a robust FAHP consistency ratio of 0.03. The RF model outperformed with an AUC of 0.95 and an overall accuracy of 0.91. The study revealed an increasing seasonal trend in fire incidents, with the western region showing heightened vulnerability. The RF, BRT, and FAHP models classified landscape forest areas as highly susceptible to fires; 47.85%, 33.25%, and 50%, respectively, with fourteen out of thirty-six districts of CTML were at heightened risk of wildfires. This holistic approach to fire risk assessment aids in creating more impactful fire risk management plans and provides a foundation for automated fire risk assessment.

Data Indo InaFire: Spatial Visualization of Peatland Fire Impact and Ecosystem Restoration Monitoring in PHU Jambi using Earth Engine Apps and Sentinel-2 MSI Imagery

Peatlands formed from long-term accumulation of partially decomposed organic matter in wetland areas. This particular ecosystem is not only capable of sequestering significant quantities of carbon but also vulnerable to forest and land fires (karhutla). Peatland produces considerable CO₂ emissions during fire occurrences, which consequently requires spatiotemporal monitoring to sustain its ecological roles and functions. This study aims to map the severity of fires in peatland ecosystems, estimate the success of post-fire restoration, and develop an Earth Engine Apps-based monitoring platform for peatland fire monitoring. Fire severity assessment and post-fire restoration success estimation were conducted in Jambi's Peat Hydrological Unit (PHU) in 2019 using the Normalized Burn Ratio (NBR) index derived from Sentinel-2 MSI satellite imagery. Most of Jambi PHU's fire severity and restoration levels are high. The area of PHU Jambi with high fire severity was 7,822.91 hectares, while the area with high restoration success was 23,744.69 hectares. NBR monitoring in PHU Jambi can be used to detect fire severity and restore success. The visualization of forest and land fire severity was successfully displayed on the Data Indo InaFire webGIS platform, an Earth Engine Apps-based monitoring platform.

Revealing the Impact of Understory Fires on Stem Survival in Palms (Arecaceae): An Experimental Approach Using Predictive Models

Amid increasing deforestation, surface fires reaching the forest understory are one of the primary threats to Amazonian ecosystems. Despite extensive research on post-fire mortality in woody species, the literature on palm resilience to fire is scant. This study investigates post-fire mortality in four understory palms, namely Bactris maraja Mart., Chamaedorea pauciflora Mart., Geonoma deversa (Poit.) Kunth, Hyospathe elegans Mart., and juvenile individuals of Euterpe precatoria Mart. (açaí palm). The objectives included (a) comparing post-fire responses; (b) developing mortality models based on severity variables; and (c) evaluating if diameter protects bud stems from heat flux. Conducted at the edge of an Ombrophylous Forest in Alto Juruá Acre, Brazil (7°45′ S, 72°22′ W), the experiment subjected 85 individuals to controlled burning in a 1 m2 area near the palm stem, with temperature sampling using K thermocouples. The results showed varying mortality rates among species, with a larger palm stem diameter correlating to reduced mortality. Crown burning patterns significantly influenced mortality, especially for Euterpe precatoria. The species exhibited diverse regrowth capacities, with B. maraja showing the highest number and tallest basal resprouts. The variation in morphology among species appeared to be more important than the amount of heat flux applied to each individual involved in the experiment, as no significant difference was observed in the time–temperature history measured. This study underscores post-fire plant mortality as a critical indicator of fire severity, essential for understanding its ecological impacts.

Fire setting in the custodial environments: developing the evidence base for improving fire safety in prisons

Purpose The HMPPS National Fire Safety Team commissioned three research studies from HMPPS National Psychology Services to explore fire setting in prisons. The purpose of this paper is to share the outcomes of these studies which explored the characteristics of known fire-setters; the act of repeat fire setting and its relationship to fire severity and level of injury; and the triggers for fire-setting incidents in prisons. Design/methodology/approach A quantitative matched-groups design allowed for a direct comparison between 100 known adult male fire-setters and 100 adult males in prison who had not set fires. The second study identified 4,003 fire-setting incidents recorded in Sphera Cloud. It used a series of categorical variables to explore repeat custodial fire setting and its relationship to fire severity and level of injury sustained. The third study was qualitative, comprising seven semi-structured interviews with adult males in custody. Findings Mental illness, being supported via a Challenge, Support and Intervention Plan, and self-harm history predicted fire setting in custody, with the statistical model able to correctly classify 86% of the fire-setting incidents. Fire severity and level of injury alone do not distinguish first from repeat fires, but their interaction does. Themes from prisoner interviews include emotional coping and mental health, fire setting to affect change and costs of fire setting, with subthemes such as grievances towards staff and prolonged periods in cell. Research limitations/implications Both quantitative studies were subject to the known limitations of secondary data which include incomplete or inaccurate reporting and/or recording. There was also missing information which could have included unreported fires. The qualitative study struggled to secure interviews with known fire-setters who were suspicious of the research/er. The study also coincided with the Covid-19 lockdowns which may have impacted what the people in prison reported. Practical implications The research suggests that there are some likely predictors for fire setting in prisons, and that a statistical model could be worthy of replication with a larger sample. The finding that those who set fires learn from their experiences, and thus can minimise their potential for serious injury suggests a need to prevent cycles of fire setting from the very first fire. The triggers for fire setting in prison suggest that a preventative approach to fire safety must go beyond physical measures and also address environmental factors. This includes staff−prisoner relationships, encourage the recognition of mental health problems and the need for procedurally just approaches to be consistently applied. Originality/value Little is known about individuals who set fires in prison or repeat fire setting and its relationship to fire severity and level of injury. The qualitative study involving known fire-setters is likely the first in an English prison.

Assessment of Forest Fire Severity for a Management Conceptual Model: Case Study in Vilcabamba, Ecuador

Wildfires are affecting natural ecosystems worldwide, causing economic and human losses and exacerbated by climate change. Models of fire severity and fire susceptibility are crucial tools for fire monitoring. This case study analyses a fire event on 3 September 2019 in Vilcabamba parish, Loja province, Ecuador. This article aims to assess the severity and susceptibility of a fire through spectral indices and multi-criteria methods for establishing a fire action plan proposal. The methodology comprises the following: (i) the acquisition of Sentinel-2A products for the calculation of spectral indices; (ii) a fire severity model using differentiated indices (dNBR and dNDVI) and a fire susceptibility model using the Analytic Hierarchy Process (AHP) method; (iii) model validation using Logistic Regression (LR) and Non-metric Multidimensional Scaling (NMDS) algorithms; (iv) the proposal of an action plan for fire management. The Normalised Burn Ratio (NBR) index revealed that 10.98% of the fire perimeter has burned areas with moderate-high severity in post-fire scenes (2019) and decreased to 0.01% for post-fire scenes in 2021. The Normalised Difference Vegetation Index (NDVI) identified 67.28% of the fire perimeter with null photosynthetic activity in the post-fire scene (2019) and 5.88% in the post-fire scene (2021). The Normalised Difference Moisture Index (NDMI) applied in the pre-fire scene identified that 52.62% has low and dry vegetation (northeast), and 8.27% has high vegetation cover (southwest). The dNDVI identified 10.11% of unburned areas and 7.91% using the dNBR. The fire susceptibility model identified 11.44% of the fire perimeter with null fire susceptibility. These results evidence the vegetation recovery after two years of the fire event. The models demonstrated excellent performance for fire severity models and were a good fit for the AHP model. We used the Root Mean Square Error (RMSE) and area under the curve (AUC); dNBR and dNDVI have an RMSE of 0.006, and the AHP model has an RMSE of 0.032. The AUC = 1.0 for fire severity models and AUC = 0.6 for fire susceptibility. This study represents a holistic approach by combining Google Earth Engine (GEE), Geographic Information System (GIS), and remote sensing tools for proposing a fire action plan that supports decision making. This study provides escape routes that considered the most significant fire triggers, the AHP, and fire severity approaches for monitoring wildfires in Andean regions.

Clarification of fire characteristics in a road tunnel based on numerical and laboratory studies

Critical velocity for longitudinal ventilation, as is accepted under the emergency ventilation strategy, is a decisive factor to prevent backlayering. The results of physical and thorough numerical modeling showed that the critical velocity in inclined tunnels in case of descending ventilation and of strong fires would no longer be an important indicator within the projects. Besides, the location of the fire has a significant impact on the thermal physics and aerodynamics of the ventilation flow and the surrounding mining massif. A natural consequence of this is significant variation in critical velocity and backlayering length, which greatly affects the planning and implementation of life-saving measures. The article presents scenarios of underground fire development and analysis of accompanying processes, performed using numerical modeling in the FDS environment. The variation of the critical velocity of longitudinal ventilation, the length of the reverse flow of combustion products and the gradient-factor depending on the fire power, tunnel geometry and other variabilities is shown. It is noted that the critical value of the Froude number, like the critical ventilation rate, are not constant values in complex processes occurring underground. Specific numerical examples show that thermally and mechanically conditioned ventilation flows are algebraically summed, and without considering these circumstances, the processes of rescuing people from underground fires will certainly become more complicated. The paper found, both theoretically and through numerical modeling, that severe fires in tunnels can cause dynamic pressures greater than the static pressure of the fans. The observed dynamic pressures can reverse downward ventilation flows in tunnels with slopes of 3% or more. This work puts on the agenda not only a thorough detailed description and analysis of fire cases, but also the need to develop a clear algorithm of actions taking into consideration the geometry, location, natural conditions and ventilation systems of a specific tunnel, taking into consideration also the scenario of the expected fire. The results obtained should be communicated to rescuers and tunnel service workers through theoretical studies and training. The proposed paper is socially oriented, aimed at improving emergency ventilation technology and thus increasing safety in case of fires in road tunnels, which is an important socio-political and public task.

Post-fire negative relationship between a native tree and an invasive pine at the Coastal Maulino Forest in Central Chile

Coastal Maulino Forest, a biodiversity hotspot, is increasingly threatened by frequent and higher-severity wildfires. Endangered tree species, including Nothofagus spp., inhabit small, isolated native forest fragments surrounded by extensive Pinus radiata plantations, a non-native species that often colonises fire-affected areas. However, the seedling density of the native Chilean wineberry, Aristotelia chilensis, negatively correlates with the abundance of P. radiata seedlings in post-fire areas. This pattern emerged across areas burned at varying fire severities, sampled 8 and 24 months following the 2017 “Las Máquinas” megafire in Chile. The high proportion of plots lacking P. radiata seedlings, coupled with this negative relationship, suggests that A. chilensis may play a role in limiting P. radiata invasion. The negative relationship was most pronounced in areas with moderate fire severity, likely reflecting differences in shade tolerance between the species. While A. chilensis, a light-demanding species with some shade tolerance, can persist in partially shaded environments, P. radiata, a strictly light-demanding species, struggles under significant shade. In low-severity areas, no significant relationship was observed since the substantial native canopy remaining likely limits P. radiata establishment by shading. Conversely, in high-severity fire areas, the absence of a significant relationship might result from the detrimental effects on both species, including potential microbiome dependence for A. chilensis. Given the successful establishment of A. chilensis at low fire severity, enhancing its post-fire recruitment, particularly in moderately burned areas, could be a valuable strategy for mitigating P. radiata invasion and restoring fire-affected Mediterranean ecosystems.

Synthesis and Perspectives on Disturbance Interactions, and Forest Fire Risk and Fire Severity in Central Europe

Wildfire risk increases following non-fire disturbance events, but this relationship is not always linear or cumulative, and previous studies are not consistent in differentiating between disturbance loops versus cascades. Previous research on disturbance interactions and their influence on forest fires has primarily focused on fire-prone regions, such as North America, Australia, and Southern Europe. In contrast, less is known about these dynamics in Central Europe, where wildfire risk and hazard are increasing. In recent years, forest disturbances, particularly windthrow, insect outbreaks, and drought, have become more frequent in Central Europe. At the same time, climate change is influencing fire weather conditions that further intensify forest fire dynamics. Here, we synthesize findings from the recent literature on disturbance interactions in Central Europe with the aim to identify disturbance-driven processes that influence the regional fire regime. We propose a conceptual framework of interacting disturbances that can be used in wildfire risk assessments and beyond. In addition, we identify knowledge gaps and make suggestions for future research regarding disturbance interactions and their implications for wildfire activity. Our findings indicate that fire risk in the temperate forests of Central Europe is increasing and that non-fire disturbances and their interactions modify fuel properties that subsequently influence wildfire dynamics in multiple ways.

Effects of Peatland Fires on Above-ground Carbon Stocks in Kepulauan Meranti Regency, Riau Province

Peat fires substantially alter ecosystem dynamics and carbon storage, making it essential to understand how fire-related components affect post-fire carbon stocks. This study aims to estimate the above-ground carbon stock on burned peatlands in Kepulauan Meranti Regency, Riau Province, and examine how fire recurrence, last fire occurrence, and burn severity influence the carbon stock using a modified regression model and remote sensing data. The normalized burn ratio index difference between post- and pre-fire was used to calculate burn severity. The continuous predictor variable was transformed using a natural logarithm to generate the best-fit model. The 2014 burned peatland stored the highest carbon, whereas the 2020 burned peatland was the lowest. The 2020 fire period was the most severe compared to the 2014 and 2018–2019 fires, although it had a smaller burned area. This study highlights that fire-related components significantly affect post-fire peatland above-ground carbon stocks, particularly last fire occurrence and burn severity. Meanwhile, fire recurrence had the weakest impact and correlation with above-ground carbon stock compared to other predictors, likely due to the brief intervals between fire events in 2018 and 2019, which may have restricted ecosystem recovery and limited carbon storage capacity.

Climatic Indicators and Their Variation Trends as Conditions for Forest Flammability Hazard in the South of Tyumen Oblast

This study analyzes the forest flammability hazard in the south of Tyumen Oblast (Western Siberia, Russia) and identifies variation patterns in fire areas depending on weather and climate characteristics in 2008–2023. Using correlation analysis, we proved that the area of forest fires is primarily affected by maximum temperature, relative air humidity, and the amount of precipitation, as well as by global climate change associated with an increase in carbon dioxide in the atmosphere and the maximum height of snow cover. As a rule, a year before the period of severe forest fires in the south of Tyumen Oblast, the height of snow cover is insignificant, which leads to insufficient soil moisture in the following spring, less or no time for the vegetation to enter the vegetative phase, and the forest leaf floor remaining dry and easily flammable, which contributes to an increase in the fire area. According to the estimates of the CMIP6 project climate models under the SSP2-4.5 scenario, by the end of the 21st century, a gradual increase in the number of summer temperatures above 35 °C is expected, whereas the extreme SSP5-8.5 scenario forecasts the tripling in the number of such hot days. The forecast shows an increase of fire hazardous conditions in the south of Tyumen Oblast by the late 21st century, which should be taken into account in the territory’s economic development.

High fire severity and frequency threaten the persistence of a widespread obligate-seeder Banksia in south-eastern Australia

Context Obligate-seeding woody plants with long reproductive maturity periods and no soil seed banks are threatened with decline as climate change drives more frequent and severe fires, such as the extensive 2019–2020 wildfires in south-eastern Australia. Aims This study aimed to investigate the effects of fire intervals and severity on the persistence of one such species, Banksia cunninghamii (Hairpin Banksia), in temperate forests. Methods We measured post-fire seedling recruitment of B. cunninghamii at 25 sites in Victoria, burned at various severities in the 2019–2020 wildfires and with differing prior fire intervals. A Bayesian framework was used to model the relationship between seedling numbers, fire severity and fire interval. A spatial analysis compared a species distribution model for B. cunninghamii with fire severity and fire intervals. Key results There was a low chance of B. cunninghamii recruitment (<25%) at sites that either had burned eucalypt canopies or a preceding fire interval of less than 12 years. Sixty-seven percent of its distribution in the south-east of the state of Victoria was mapped as burned at high severity (burned eucalypt canopies) between 1998 and 2020, or burned at shorter than 12 year intervals between 1960 and 2020, although some B. cunninghamii populations will have persisted due to the patchiness of past burns. Conclusions Banksia cunninghamii is vulnerable to local extinctions in the wildfire-affected areas if fires occur again before plants reach maturity, or if high fire severity destroys seeds. Implications More frequent and severe wildfires mean that burn planning needs to consider the reproductive cycles of serotinous obligate-seeding plants.

Home ranges and movements of an arboreal folivore after wildfire: comparing rehabilitated and non-rehabilitated animals in burnt and unburnt woodlands

BackgroundWildfires can have complex effects on wildlife populations. Understanding how post-fire conditions affect the movement ecology of threatened species can assist in better conservation and management, including informing the release of rescued and rehabilitated animals. The 2019–2020 megafires in Australia resulted in thousands of animals coming into care due to injury or concerns over habitat degradation. This included hundreds of koalas (Phascolarctos cinereus), for which relatively little was known about how fire affected habitat suitability, or when rehabilitated animals could be returned to burnt areas.MethodsWe compared the movements of koalas across three experimental groups–non-rehabilitated koalas in burnt habitat, non-rehabilitated koalas in nearby unburnt habitat, and rehabilitated koalas returned to their rescue location in burnt habitat in New South Wales, Australia. We GPS-tracked 32 koalas for up to nine months and compared, across treatment groups, home ranges, mean nightly distance moved, the farthest distance moved from their release site and total displacement distance.ResultsWe found no differences in koala movements and home range size between non-rehabilitated koalas in burnt and unburnt habitat. However, rehabilitated koalas moved farther from their release site, had larger displacement distances, and larger home ranges than non-rehabilitated individuals. Regardless of their experimental group, we also found that males moved further than females each night. Additionally, our resource selection analysis showed that, koalas preferred low and moderately burnt habitats over all other fire severity classes.ConclusionsExperimental frameworks that incorporate “treatment” and “control” groups can help isolate disturbance effects on animal movements. Encouragingly, despite catastrophic wildfires, burnt woodlands provided adequate resources for koalas to persist and recover. Furthermore, rehabilitated koalas re-integrated into the burnt landscape despite moving farther from their release sites than non-rehabilitated individuals. Studies like this improve our understanding of the ecological impacts of fire on species and their habitats, and will be instrumental in informing wildlife management and conservation efforts as wildfires increase in frequency and severity worldwide in response to climate change.

Recovery Following Recurrent Fires Across Mediterranean Ecosystems.

In fire-prone regions such as the Mediterranean biome, fire seasons are becoming longer, and fires are becoming more frequent and severe. Post-fire recovery dynamics is a key component of ecosystem resilience and stability. Even though Mediterranean ecosystems can tolerate high exposure to extreme temperatures and recover from fire, changes in climate conditions and fire intensity or frequency might contribute to loss of ecosystem resilience and increase the potential for irreversible changes in vegetation communities. In this study, we assess the recovery rates of burned vegetation after recurrent fires across Mediterranean regions globally, based on remotely sensed Enhanced Vegetation Index (EVI) data, a proxy for vegetation status, from 2001 to 2022. Recovery rates are quantified through a statistical model of EVI time-series. This approach allows resolving recovery dynamics in time and space, overcoming the limitations of space-for-time approaches typically used to study recovery dynamics through remote sensing. We focus on pixels burning repeatedly over the study period and evaluate how fire severity, pre-fire vegetation greenness, and post-fire climate conditions modulate vegetation recovery rates of different vegetation types. We detect large contrasts between recovery rates, mostly explained by regional differences in vegetation type. Particularly, needle-leaved forests tend to recover faster following the second event, contrasting with shrublands that tend to recover faster from the first event. Our results also show that fire severity can promote a faster recovery across forested ecosystems. An important modulating role of pre-fire fuel conditions on fire severity is also detected, with pixels with higher EVI before the fire resulting in stronger relative greenness loss. In addition, post-fire climate conditions, particularly air temperature and precipitation, were found to modulate recovery speed across all regions, highlighting how direct impacts of fire can compound with impacts from climate anomalies in time and likely destabilise ecosystems under changing climate conditions.

Lung function may recover after coal mine fire smoke exposure: a longitudinal cohort study

Background and objectiveThe 2014 Hazelwood coal mine fire exposed residents in nearby Morwell to high concentrations of particulate matter <2.5 µm (PM2.5) for approximately 6 weeks. This analysis aimed to...

Learning from wildfires: A scalable framework to evaluate treatment effects on burn severity

AbstractInterruption of frequent burning in dry forests across western North America and the continued impacts of anthropogenic climate change have resulted in increases in fire size and severity compared to historical fire regimes. Recent legislation, funding, and planning have emphasized increased implementation of mechanical thinning and prescribed burning treatments to decrease the risk of undesirable ecological and social outcomes due to fire. As wildfires and treatments continue to interact, managers require consistent approaches to evaluate treatment effectiveness at moderating burn severity. In this study, we present a repeatable, remote sensing–based, analytical framework for conducting fire‐scale assessments of treatment effectiveness that informs local management while also supporting cross‐fire comparisons. We demonstrate this framework on the 2021 Bootleg Fire in Oregon and the 2021 Schneider Springs Fire in Washington. Our framework used (1) machine learning to identify key bioclimatic, topographic, and fire weather drivers of burn severity in each fire, (2) standardized workflows to statistically sample untreated control units, and (3) spatial regression modeling to evaluate the effects of treatment type and time since treatment on burn severity. The application of our framework showed that, in both fires, recent prescribed burning treatments were the most effective at reducing burn severity relative to untreated controls. In contrast, thinning‐only treatments only produced low/moderate‐severity effects under the more moderate fire weather conditions in the Schneider Springs Fire. Our framework offers a robust approach for evaluating treatment effects on burn severity at the scale of individual fires, which can be scaled up to assess treatment effectiveness across multiple fires. As climate change brings increased uncertainty to dry forest ecosystems of western North America, our framework can support more strategic management actions to reduce wildfire risk and foster resilience.

Dynamic estimation of the fire service spatial accessibility for EV charging stations: Towards preventing severe fires and explosions

Dynamic estimation of the fire service spatial accessibility for EV charging stations: Towards preventing severe fires and explosions