Fire Intensity Research Articles

Europe faces up to tenfold increase in extreme fires in a warming climate

This study quantifies how changes in temperature and precipitation would influence the intensity and duration of extreme fires across Europe. The analysis explores the impact of a range of climate change projections on fire events compared to a baseline of fire danger, using a 30-year ERA5 reanalysis. The results show that areas in southern Europe could experience a tenfold increase in the probability of catastrophic fires occurring in any given year under a moderate CMIP6 scenario. If global temperatures reach the +2 °C threshold, central and northern Europe will also become more susceptible to wildfires during droughts. The increased probability of fire extremes in a warming climate, in combination with an average one-week extension of the fire season across most countries, would put extra strain on Europe’s ability to cope in the forthcoming decades.

Single Room Fire Traceability and Prediction Models Based on Deep Learning Methods

ABSTRACT When a fire occurs, fast recognition on key information of the fire based on limited data available and predict fire smoke motion trends from limited fire information is desirable to develop effective emergency strategies. The proposed models include fire intensity traceability model and fire position traceability model based on Back Propagation Neural Network (BPNN). Smoke prediction model is proposed based on Transpose Convolutional Neural Network (TCNN). The numerical model is first validated by the single-room fire test, and then a numerical database of 165 transient room-fire scenarios is established under various fire locations, fire sizes, and vent sizes. The model test is conducted in new fire intensity and vent size scenarios, with R2 coefficients of 0.965 and 0.95, respectively. The experimental data validation shows that relative errors were less than 10%. The position traceability model has Kappa values of 0.758 and 0.75. The average visibility error values of the smoke prediction model’s output images in the validation of the test set generally fall within the range of ± 1.5 m. The results indicate that the models have good accuracy and strong adaptability to different compartment fire scenarios which can provides effective support for fire rescue and emergency strategy development in fire scenes.

Are fire intensity and burn severity associated? Advancing our understanding of FRP and NBR metrics from Himawari-8/9 and Sentinel-2

Burn severity has been widely studied. Typical approaches use spectral differencing indices from remotely sensed data to extrapolate in-situ severity assessments. Next generation geostationary data offer near-continuous fire behaviour information, which has been used for fire detection and monitoring but remains underutilized for fire impact estimation. Here, we explore the association between remotely sensed fire intensity metrics and spectral differencing severity indices to understand whether and where they describe similar wildfire effects. The commonly used Differenced Normalised Burn Ratio (dNBR) severity index was calculated for Advanced Himawari Imager (AHI − 2 km) and Sentinel-2 (20 m) data and compared to different Fire Radiative Power (FRP) metrics derived from fire hotspot detections from AHI data across Australia. The comparison was implemented through different stratifications based on biogeographical region, land cover, fire type, and percentage of AHI pixel burned (fire fractional cover). The results indicate that FRP and dNBR metrics do not correlate in most scenarios, noting correlations being marginally stronger for hotter fires. However, correlations become significantly stronger when data are grouped using fire type information and fire fractional cover, with correlations peaking (R = 0.75) for large fires that burned 41–60 % of an AHI pixel. In conclusion, remotely sensed fire intensity and severity proxies capture different aspects of wildfire impact, that only correlate with each other after using auxiliary data. Spectral differencing severity metrics have been used extensively during the past decades, however high-frequency fire intensity estimations have the potential to augment the existing information and reveal new ways of characterizing wildfire impact over large areas.

Phosphorylation of pyruvate dehydrogenase inversely associates with neuronal activity

For decades, the expression of immediate early genes (IEGs) such as FOS has been the most widely used molecular marker representing neuronal activation. However, to date, there is no equivalent surrogate available for the decrease of neuronal activity. Here, we developed an optogenetic-based biochemical screen in which population neural activities can be controlled by light with single action potential precision, followed by unbiased phosphoproteomic profiling. We identified that the phosphorylation of pyruvate dehydrogenase (pPDH) inversely correlated with the intensity of action potential firing in primary neurons. In invivo mouse models, monoclonal antibody-based pPDH immunostaining detected activity decreases across the brain, which were induced by a wide range of factors including general anesthesia, chemogenetic inhibition, sensory experiences, and natural behaviors. Thus, as an inverse activity marker (IAM) invivo, pPDH can be used together with IEGs or other cell-type markers to profile and identify bi-directional neural dynamics induced by experiences or behaviors.

Extreme fire weather in Chile driven by climate change and El Niño–Southern Oscillation (ENSO)

A string of fierce fires broke out in Chile in the austral summer 2023, just six years after the record-breaking 2017 fire season. Favored by extreme weather conditions, fire activity has dramatically risen in recent years in this Andean country. A total of 1.7 million ha. burned during the last decade, tripling figures of the prior decade. Six of the seven most destructive fire seasons on record occurred since 2014. Here, we analyze the progression during the last two decades of the weather conditions associated with increased fire risk in Central Chile (30°–39° S). Fire weather conditions (including high temperatures, low humidity, dryness, and strong winds) increase the potential for wildfires, once ignited, to rapidly spread. We show that the concurrence of El Niño and climate-fueled droughts and heatwaves boost the local fire risk and have decisively contributed to the intense fire activity recently seen in Central Chile. Our results also suggest that the tropical eastern Pacific Ocean variability modulates the seasonal fire weather in the country, driving in turn the interannual fire activity. The signature of the warm anomalies in the Niño 1 + 2 region (0°–10° S, 90° W–80° W) is apparent on the burned area records seen in Central Chile in 2017 and 2023.

Flame inhibition using nanotechnology

Flame inhibition is significant as it directly contributes to fire safety and prevention. Effective flame inhibition can reduce the spread and intensity of fires, protecting lives, property, and the environment. The research focused on the significant role of nanomaterials, specifically aluminum oxide (Al₂O₃), in improving fire retardation and enhancing fire inhibition performance. Nanoparticles can be used in flame inhibition, as they might merge two flame inhibition techniques: cooling and physical barriers. They offer unique properties due to their small size and high surface area, which can enhance their effectiveness in disrupting the combustion process. Nanoparticles can act as heat sinks, absorbing heat and reducing the temperature of the combustion zone (cooling method). They can also catalyze the formation of non-combustible gases or form a protective layer on the material's surface (physical method). Due to these properties, nanoparticles are increasingly studied and utilized for advanced flame retardant systems. Experimental work was carried out to accomplish the goal of the research. The fire inhibition test was performed within a pressure range between 3.2 and 5.3 cm of Hg, corresponding to a fuel-oxygen ratio of 9.3 % to 14.8 %, respectively. A novel nanoparticle material was involved in this analysis, including Al₂O₃. Based on the research analysis, the critical research results revealed that Al₂O₃ employment as a fire inhibitor provided a more enhanced impact of fire retardance and flame inhibition compared with conventional retardation materials, reflected in more sustainability and less adverse environmental effects.Furthermore, the experimental findings indicated that the flammability limits range between a lower flammability limit of approximately 9.3 % and an upper one of 14.8 % under specified amounts of pressure and temperature. In addition, increasing the inhibitor quantity could raise the lean flammability limit. Raising the nanomaterial mass would extend the flammability limits, altering the concentration of these nanoparticles to increase inhibitory effectiveness and change the lower and upper flammability limits.The study concluded that adjusting nanoparticle concentrations can significantly alter inhibitory effectiveness. The novelty lies in the use of a novel nanoparticle material, demonstrating improved sustainability and effectiveness in fire retardation of a highly flammable gaseous mixture.

A study on rapid simulation of mine roadway fires for emergency decision-making

In traditional mine fire simulation, the FDS simulation software has been verified by large-scale and full-size fire experiments. The resulting calculations closely align with real-world scenarios, making it a valuable tool for simulating mine fires. However, when a fire occurs in a mine, utilizing FDS software to predict the fire situation in the mine entails a sequence of steps, including modeling, environmental parameter setting, arithmetic, and data processing, which takes time in terms of days, thus making it difficult to meet the demand for emergency decision-making timelines. To address the need for rapid predictions of mine tunnel fire development, a method for swiftly estimating environmental parameters and the concentration of causative factors at various times and locations post-fire has been devised. FDS software was employed to simulate numerous roadway fires under diverse conditions. Parameters such as fire source intensity, roadway cross-sectional area, roadway wind speed, roadway inclination angle, time, and others were utilized as the input layer for a neural network. In contrast, wind flow temperature, carbon monicide (CO) concentration, fire wind pressure, visibility, and others were designated as the output layer for training the neural network model. This approach established a fire prediction model to resolve issues related to time-consuming numerical simulations and the inability to provide a rapid response to disaster emergencies. The trained neural network model can instantaneously predict the environmental parameters and concentrations of the causative factors at different times and locations. The model exhibits an average relative error of 12.12% in temperature prediction, a mean absolute error of 0.87 m for visibility, a mean absolute error of 3.49 ppm for CO concentration, and a mean absolute error of 16.78 Pa for fire wind pressure. Additionally, the mean relative error in density is 2.9%. These predictions serve as crucial references for mine fire emergency decision-making.

Forest fires in the Indian Central Himalaya: major drivers, implications, and mitigation measures

ABSTRACT Forest fires pose a significant threat in the Central Himalaya due to both natural and human factors. This study investigates key drivers, consequences, and mitigation measures. Data on 2022 forest fire incidents, affected areas, and economic losses were collected from the State Forest Department, Dehradun, and analyzed using statistical methods. The 2022 forest fire areas were mapped using data from the USGS and NASA FIRMS portals, revealing highly sensitive zones in river valleys and mid-altitudes below 1800 m, covering 13% of the total forest area (approximately 40,000 ha). These regions primarily host monsoon deciduous and flammable pine forests. Recent years have witnessed a notable increase in fire frequency and intensity, attributed to warming river valleys, middle altitudes, and dry climate spells during the fire season. This pioneering study recommends risk reduction strategies, including managing dry pine leaves, forest replacement, constructing fire lines, and providing fire control training to rural communities. Adopting these measures can effectively mitigate the escalating threat of forest fires in the Central Himalaya.

Trends and impacts of temperature and fire regimes in South Africa’s coastal national parks: implications for tourism

Climate change poses significant risks on coastal national park-based tourism through its effect on accessibility, comfort levels, and spatiotemporal changes of attractions. Wildfires and extreme temperatures have become issues of concern. Due to the widespread occurrence of fires in national parks along coastal areas and the noticeable changes in temperature regimes, more needs to be done to deepen understanding of their trends and impacts and devise appropriate management regimes. This study analyses the trends and impacts of fires and temperature-related variables in six coastal South African national parks, namely Agulhas, Garden Route, West Coast, Table Mountain, Namaqua, and Addo Elephant National Park. The triangulation and convergence model of the mixed-methods research design was adopted as the inquiry strategy. Data on statistical weather variables from the South African Weather Services and the National Aeronautics and Space Administration were used to calculate temperature trends using Mann–Kendall trend tests and homogeneity analysis. Data collection included questionnaire surveys, key informant interviews, field observations, and document analysis. The study observed statistically significant (p < 0.05) changes in temperature-related variables in all coastal national parks. There is also an increase in the intensity and spatial spread of fires, resulting in increased fire damage over time. Despite the current efforts of the coastal parks to manage wildfires and the changing climatic patterns, the fire and temperature regimes are threatening the biophysical environment with resultant effects on tourism and the economic viability of the national parks. The need to reengineer the fire suppression mechanisms and temperature-resilient tourism facilities has been observed.

Assessment of carbon emissions due to landscape fires in Ukraine during war in 2022

The russian military aggression and the related socio-economic and environmental consequences have significantly affected the climate and production of ecosystem services through damage to forests, ecosystems, landscape fires and emissions of gases into the atmosphere. The study aims to estimate carbon dioxide emissions due to landscape fires in Ukraine during the year 2022. The OroraTech wildfire monitoring technology was used to detect fires, while perimeters of burned areas were delineated with Sentinel 2 time series. The Copernicus Dynamic Land Cover map was used to extract burned land covers. Emissions were calculated based on the intensity of fires (dNBR) with the share of burned biomass in different types of land cover. Biomass models were selected considering the dominant tree species within a specific region and the species structure of the sown areas of croplands. The volume of biomass losses was estimated as a result of fires of different severities. It was estimated that during in 2022, landscape fires burned 749.5 thousand hectares thereof: croplands – 419.1 thousand hectares; other natural vegetation – 273.8 thousand hectares; conifer forests – 31.1 thousand hectares; other forests – 25.5 thousand hectares. The impact of the war on landscape fires is confirmed by the large proportion of fires in the 60-kilometre buffer zone along the frontline – 68.9% of the total area of fire. Among all fires, 42.5% of fires occurred in the occupied territory. Total CO2 emissions from all types of landscape fires reached 5.20 million tons and other greenhouse gases – 0.28 million tons. It is the first detailed mapping of landscape fires with an analysis of each polygon for the whole territory of Ukraine. The results provide important information for assessing the loss of ecosystem services and estimating carbon dioxide emissions as well as for confirming the impact of hostilities on landscape fires

Long-term efficacy of fuel reduction and restoration treatments in Northern Rockies dry forests.

Fuel and restoration treatments seeking to mitigate the likelihood of uncharacteristic high-severity wildfires in forests with historically frequent, low-severity fire regimes are increasingly common, but long-term treatment effects on fuels, aboveground carbon, plant community structure, ecosystem resilience, and other ecosystem attributes are understudied. We present 20-year responses to thinning and prescribed burning treatments commonly used in dry, low-elevation forests of the western United States from a long-term study site in the Northern Rockies that is part of the National Fire and Fire Surrogate Study. We provide a comprehensive synthesis of short-term (<4 years) and mid-term (<14 years) results from previous findings. We then place these results in the context of a mountain pine beetle (MPB; Dendroctonus ponderosae) outbreak that impacted the site 5-10 years post-treatment and describe 20-year responses to assess the longevity of restoration and fuel reduction treatments in light of the MPB outbreak. Thinning treatments had persistently lower forest density and higher tree growth, but effects were more pronounced when thinning was combined with prescribed fire. The thinning+prescribed fire treatment had the additional benefit of maintaining the highest proportion of ponderosa pine (Pinus ponderosa) for overstory and regeneration. No differences in understory native plant cover and richness or exotic species cover remained after 20 years, but exotic species richness, while low relative to native species, was still higher in the thinning+prescribed fire treatment than the control. Aboveground live carbon stocks in thinning treatments recovered to near control and prescribed fire treatment levels by 20 years. The prescribed fire treatment and control had higher fuel loads than thinning treatments due to interactions with the MPB outbreak. The MPB-induced changes to forest structure and fuels increased the fire hazard 20 years post-treatment in the control and prescribed fire treatment. Should a wildfire occur now, the thinning+prescribed fire treatment would likely have the lowest intensity fire and highest tree survival and stable carbon stocks. Our findings show broad support that thinning and prescribed fire increase ponderosa pine forest resilience to both wildfire and bark beetles for up to 20 years, but efficacy is waning and additional fuel treatments are needed to maintain resilience.

Impacts of forest fire frequency on structure and composition of tropical moist deciduous forest communities of Bandhavgarh Tiger Reserve, Central India

Forest fire is one of the prominent factors especially in tropical seasonal forests that have a variety of consequences on ecosystem composition, structure and function depending upon the type of fire, fire intensity, and fire frequency. Forest fire incidences have been increasing in the last few decades especially in tropical moist forests, raising the concerns for forest restoration and management since the inhabiting plants in these forest communities largely lack adaptive strategies. The present study was carried out in tropical moist deciduous forests to (A) understand the patterns of forest fire frequency by delineating the fire affected areas and (B) evaluate the impacts of forest fire frequency on species composition, diversity and regeneration of a moist deciduous forest of Central India. A fire frequency map was prepared using Landsat satellite images from 2005 to 2021 for the study purpose. Vegetation data were collected from field surveys for each fire frequency class separately. Results of the present study showed that 25.12 % area was affected by low frequent fires, 2.92 % by moderate frequent fires and 0.099 % by high frequent fires, whereas 71.85 % area remained unaffected by fire. The diversity of the tree layer was highest in the low fire frequency class whereas, for the sapling layer, it was highest in unburned areas. Overall, the negative impact of fire frequency on species diversity was observed for the tree and sapling layers. Favorable effects of fire on young current year recruitments were observed as a result of the removal of seed dormancy. Results indicate that moderate fire frequency in moist deciduous forests helps to increase tree density. Contrary to this, unburned areas are suitable for species diversity of seedlings and saplings which consequently decides the composition of mature vegetation. Overall, a negative impact of fire frequency on density was observed for the sapling and seedling layers. Our study concludes that higher fire frequency is detrimental to both the density and diversity of tree, sapling and seedling layers, particularly in tropical moist deciduous forest communities of Central India. It is expected that fire incidences are likely to increase with the increasing temperatures as a result of climate change. In this context, the present study would be highly valuable for forest policy development as information on the impact of fire in tropical moist forests is lacking especially from Central Indian region.

Simulating long-term wildfire impacts on boreal forest structure in Central Yakutia, Siberia, since the Last Glacial Maximum

BackgroundWildfires are recognized as an important ecological component of larch-dominated boreal forests in eastern Siberia. However, long-term fire-vegetation dynamics in this unique environment are poorly understood. Recent paleoecological research suggests that intensifying fire regimes may induce millennial-scale shifts in forest structure and composition. This may, in turn, result in positive feedback on intensifying wildfires and permafrost degradation, apart from threatening human livelihoods. Most common fire-vegetation models do not explicitly include detailed individual-based tree population dynamics, but a focus on patterns of forest structure emerging from interactions among individual trees may provide a beneficial perspective on the impacts of changing fire regimes in eastern Siberia. To simulate these impacts on forest structure at millennial timescales, we apply the individual-based, spatially explicit vegetation model LAVESI-FIRE, expanded with a new fire module. Satellite-based fire observations along with fieldwork data were used to inform the implementation of wildfire occurrence and adjust model parameters.ResultsSimulations of annual forest development and wildfire activity at a study site in the Republic of Sakha (Yakutia) since the Last Glacial Maximum (c. 20,000 years BP) highlight the variable impacts of fire regimes on forest structure throughout time. Modeled annual fire probability and subsequent burned area in the Holocene compare well with a local reconstruction of charcoal influx in lake sediments. Wildfires can be followed by different forest regeneration pathways, depending on fire frequency and intensity and the pre-fire forest conditions. We find that medium-intensity wildfires at fire return intervals of 50 years or more benefit the dominance of fire-resisting Dahurian larch (Larix gmelinii (Rupr.) Rupr.), while stand-replacing fires tend to enable the establishment of evergreen conifers. Apart from post-fire mortality, wildfires modulate forest development mainly through competition effects and a reduction of the model’s litter layer.ConclusionWith its fine-scale population dynamics, LAVESI-FIRE can serve as a highly localized, spatially explicit tool to understand the long-term impacts of boreal wildfires on forest structure and to better constrain interpretations of paleoecological reconstructions of fire activity.

Archaeomagnetic Dating of the Outer Revetment Wall at Tel Lachish

The fortifications of Lachish, a key site in archaeology of the Iron Age Southern Levant, are the focus of ongoing debate. The Outer Revetment Wall, encircling nearly the entire site, was traditionally associated with Levels IV–III and was thought to have been in use during the Assyrian campaign in 701 BCE. It has recently been suggested that it was built a millennium earlier. Here we present archaeomagnetic dating of a mudbrick tower incorporated in this wall, indicating that it was burnt during the Iron Age and was most likely built during this period. Combining archaeological, historical and archaeomagnetic data reveals the intense fire that occurred during the 701 BCE Assyrian siege. This fire could have been set by the people of Lachish, in a desperate attempt to damage the Assyrian siege engines or siege ramp, as depicted in the well-known Lachish relief, or by the Assyrians as part of their siege tactics.

Determination of fire intensity after forest fire by remote sensing: marmaris case study

Forest fires in Turkiye are a frequently encountered natural disaster, especially in recent years. After a fire, identifying the plant species to be used in the area and determining the intensity of the fire in the region are important for assessing the area’s capacity for natural regeneration. In this process, geographic information systems and remote sensing methods and techniques are commonly used tools for assessing burned areas and fire intensities following forest fires. In this study, one of Turkiye’s devastating fires, the Marmaris fire, which began on June 21, 2022, is examined. Landsat satellite images, geometrically and radiometrically corrected, were utilized to determine the intensity of the Marmaris fire. As part of the method, the NBR (Normalized Burn Ratio), dNBR (Difference Normalized Burn Ratio), NDVI (Normalized Difference Vegetation Index), and dNDVI (Difference Normalized Difference Vegetation Index) indices were used for burned area detection. As a result of the study, information about the burned areas, fire intensities, and the regenerative capabilities of post-fire vegetation growth has been obtained. Furthermore, suitable pioneer plant species, considering the fire intensity, have been suggested for the restoration of burned landscape areas after the fire. This study is expected to serve as a guide for relevant public institutions and organizations, particularly the General Directorates of Forestry, enabling them to respond most effectively after fires and implement reforestation efforts considering the usage areas and growth capabilities of needle-leaved and broad-leaved plants.

Reconstruction of paleoecological and paleofire dynamics of the Tobol areas based on materials from lake-swamp deposits of Oskino

The paper compares palaeoecological, archaeological and palaeo-fire data from lake-swamp deposits of the Tobol river region, obtained as a result of the study of the Oskino wetland lake. The dependence of palaeofire dynamics on human economic activity and climate-induced changes in plant communities is analysed. The reconstruction covers 9.6 ka, including the entire period of occupation of the area, as well as the end of the Greenlandian stage and the beginning of the Northgrippian stage. Comparison of pollen data, concentration of macroscopic charcoal particles in lake-swamp sediments showed a correlation between decreasing moisture levels, increasing conifer proportion in forest composition and increasing fire frequency. It has been established on the vegetation anthropogenic influence was little (pollen data) partly due to this is related to the orientation population towards an appropriative type of economy up to 4.5 ka BP. The palynological data not show significant changes in the residential landscape or an increase in the frequency of fires in connection with the emergence of livestock breeding in the Late Bronze Age. In the Early Iron Age, semi-nomadic livestock breeding was formed the population probably did not need to burn forests for grazing, so the intensity of fires did not increase.

The mid- and Late Holocene history of forest fires in Central Evenkia inferred from macrocharcoal analysis

The paper presents the reconstruction of the Mid- and Late Holocene frequency of forest fires in the Lower Tunguska River basin in the vicinity of the settlement of Tura (central Evenkia) revealed from plant macro remains and macroscopic charcoal analysis of peat cores from two peatlands. The results of analysis showed similar patterns of charcoal accumulation rates in peat deposits from both bogs during the Holocene and their significant temporal variability. According to the data obtained, the stages of increased frequency and intensity of fires in Central Evenkiya occurred during the periods 7800-6500 cal years BP and 3800-2900 cal years BP and were influenced by climatic factors. The period of increasing fire activity, which has been observed from the first half of the XVII century to the present day, was caused by a combination of anthropogenic and natural factors. A decline in the charcoal accumulation rate in peatlands and an increase in the length of fire return intervals were characteristic for periods 6500-3800 cal years BP and 2900-600 cal years BP. Perhaps the cooling climate created unfavorable conditions for the occurrence and spread of forest fires.

Impacts of bushfire on the Glossy Black-Cockatoo Calyptorhynchus lathami and its single food source in eastern Victoria

The Glossy Black-Cockatoo Calyptorhynchus lathami eats only unripened seeds extracted from green cones of Allocasuarina and Casuarina trees. This specialised feeding habit results in Glossy Black-Cockatoos leaving unique evidence of having fed in a tree (i.e. feeding sign). The frequency of feeding sign beneath Black Sheoak Allocasuarina littoralis trees in East Gippsland, Victoria, was used as an index of the presence of Glossy Black-Cockatoos before and after intense and widespread bushfires during the summer of 2019–2020. Species distribution models for the cockatoo and its major food tree in the region were used to define 175 survey points in forested parts of East Gippsland. Survey points were visited in mid 2019, to score the presence or absence of Black Sheoak and Glossy Black-Cockatoo feeding sign. Following the 2019–2020 bushfires, all sites where Black Sheoak was present pre-fire were revisited twice within the following 28 months to search for feeding sign and score the extent of regeneration of Black Sheoak. Across all sites, the frequency of sites with feeding sign effectively halved between the pre-fire survey and first post-fire survey, then halved again between the first and second post-fire surveys, an overall decline of 76%. After 25–28 months, regeneration of Black Sheoak, in the form of either basal sprouting of established trees or seed germination, was observed at 80.6% of burnt sites, with a tendency for highest rates of regeneration at lower-fire- severity sites and for suckering to be more common than seedlings at higher-fire-severity sites. These results highlight the vulnerability of the Glossy Black-Cockatoo to reductions in the availability of its specialised food. The greatest threat to food security stems from increased frequency and intensity of fire, as predicted for the region by climate change models.

POST-FIRE CONDITION AND RESTORATION OF FORESTS ON THE TERRITORY OF KOSTANAY REGION

The results of field studies of post-fire condition and reforestation of Kostanay region are presented. The purpose of the research is to study and analyze the post-fire condition and forest regeneration in the territory of Kostanay region. It was established that the magnitude of post-fire tree declines and their radial growth in stands of the main forest-forming species are determined by the type and intensity of fire. Taking into account the types of forest landscapes using space images, we have identified 7 key and control (background) sites that characterize the disturbed and background undisturbed forest cover. Among them, the most affected by the forest fire are key areas No5 and No7, where a top fire of medium intensity occurred. The forest litter of these key areas was completely burned in a severe fire, the soil seed stock was destroyed, and low intensity of natural regeneration is expected. The average grade of all studied key sites is estimated by us as III and it is connected with untimely harvesting, which resulted in the reduction of annual growth of the plantation. Sanitary condition of plantations in key sites No1, No5, No7 is unsatisfactory in comparison with other sites. Soils of the investigated key sites are not compacted and favorable for growth. In key plot No.1 there was a compacted crust in the surface soil layer. Uneven natural regeneration of common pine after the fire is observed. Predominantly friendly seed sprouting is associated with more moistened lowlands and loosened soil areas. Factors impeding the natural renewal of pine forests include deep burning of the forest floor and soil cover, mechanical effects on the soil and seedlings of the equipment used to develop harems, the mushroom wavy rhizina (Rhizina undulata) which affects the roots of coniferous trees.

Climate change must be factored into savanna carbon- management projects to avoid maladaptation: the case of worsening air pollution in western Top End of the Northern Territory, Australia

Savanna fires are a major source of greenhouse gas (GHG) and particulate pollution globally. Since mid-2006, an Australian Government carbon offset program has incentivised Northern Territory land managers to undertake early dry-season savanna burning with the aim of reducing late dry-season wildfires and associated GHG emissions. The focus of this study is addressing concern that savanna burning carbon abatement projects are causing worsening air pollution in the city of Darwin. Reconstructed concentrations of daily particulate matter of &lt;2.5 μm (PM2.5) since the 1960s showed since 2000s a worsening in PM2.5 in the early dry season (May, June, July), some improvement in the late dry season (August, September, October) with little overall difference for the whole dry season. Remote-sensing PM2.5 estimates in Darwin were correlated with region-wide PM2.5 estimates during the early dry season. Remote-sensing analysis of area burned and intensity of fires since 2002 showed that savanna carbon projects have shifted burning to the early dry season and caused increases in fire intensity compared with non-project areas. Increased fire intensity appears to follow sharply declining fuel moisture, as well as management effects on carbon project areas, which have possibly undermined the efficacy of savanna burning projects in reducing GHG emissions. More thorough evaluation of underlying assumption of savanna burning carbon abatement in Australia and elsewhere in the world is required to avoid maladaptation, such as over-crediting, smoke pollution, and other environmental harms.