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Snow avalanche‐induced air‐blasts are capable of breaking trees, damaging buildings and causing fatalities. Predicting their destructive properties is an essential part of snow avalanche hazard mitigation. Here, we propose a depth‐averaged model that involves turbulent fluctuations to simulate the air‐blast dynamics. The turbulent energy of the air‐blast arises from that of dust‐mixed air transferred from the avalanche core, shearing work in the cloud and entrained air, and is exploited to improve the air entrainment and drag relationships. We further present a unique data set of air blast‐induced tree breakage, providing type, status, diameter and falling direction of the measured trees. Through case studies of two artificially released avalanches with measured powder heights and three natural avalanches with tree‐breakage information, we test the model and investigate the turbulence effect on air‐blast dynamics. The proposed model and tree‐breakage data set quantify the air‐blast destructiveness and can be applied for avalanche hazard assessment. Plain Language Summary: Snow avalanche‐induced air‐blasts are common natural hazards in high‐altitude regions. They are fully turbulent mixtures of ice dust and gases capable of causing damage and human fatalities far beyond the avalanche deposits, representing a major threat to societies in avalanche‐prone environments. In this study, we propose a robust numerical model that accounts for the turbulent fluctuations to simulate the air‐blast dynamics. An unprecedented data set of air blast‐induced tree breakage in three natural snow avalanches is further presented. Using five case studies in Switzerland, of which two artificial avalanches and three natural avalanches with tree‐breakage data, we test the model and investigate the impact of turbulence on air‐blast dynamics. Results suggest great performances of the proposed model in calculating the air‐blast height, impact area and dynamic pressure. Turbulent fluctuations play an important role in the travel resistance and air entrainment of the air‐blast, and can magnify the maximum pressure several times larger than the mean value. The new air‐blast hazard model gives promising perspectives for estimations of snow avalanche hazards, and the tree‐breakage data set can serve as a calibration basis for future more accurate numerical avalanche models. Key Points: An unprecedented tree breakage data set is presented to quantify the magnitude and reach of the air‐blast generated by three snow avalanchesThe forest destruction is simulated with a depth‐averaged avalanche model to calculate the pressures induced by snow avalanche air‐blastsTurbulence can magnify the air‐blast pressure several times larger than the mean value, acting at frequencies near the tree frequencies [ABSTRACT FROM AUTHOR]

Snow avalanche hazard mapping has a long tradition in the European Alps. Hazard maps delineate areas of potential avalanche danger and are only available for selected areas where people and significant infrastructure are endangered. They have been created over generations, at specific sites, mainly based on avalanche activity in the past. For a large part of the area (90 % in the case of the canton of Grisons) only strongly generalized hazard indication maps are available (SilvaProtect), not showing impact information such as pressure. This is a problem when new territory with no or an incomplete historical record is to be developed. It is an even larger problem when trying to predict the effects of climate change at the state scale, where the historical record may no longer be valid. To close this gap, we develop an automated approach to generate spatially coherent hazard indication mapping based on a digital elevation model for the canton of Grisons (7105 km 2) in the Swiss Alps. We calculate eight different scenarios with return periods ranging from frequent to very rare as well as with and without taking the protective effects of the forest into account, resulting in a total of approximately 2 million individual avalanche simulations. This approach combines the automated delineation of potential release areas, the calculation of release depths and the numerical simulation of the avalanche dynamics. We find that between 47 % (most frequent scenario) and 67 % (most extreme scenario) of the cantonal area can be affected by avalanches. Without forest, approximately 20 % more area would be endangered. This procedure can be applied worldwide, where high-spatial-resolution digital elevation models, detailed information on the forest and data on the snow climate are available, enabling reproducible hazard indication mapping also in regions where no avalanche hazard maps yet exist. This is invaluable for climate change studies. The simulation results are validated with official hazard maps, by assessments of avalanche experts, and by existing avalanche cadastres derived from manual mapping and mapping based on satellite datasets. The results for the canton of Grisons are now operationally applied in the daily hazard assessment work of the authorities. Based on these experiences, the proposed approach can be applied for further mountain regions. [ABSTRACT FROM AUTHOR]

Snow avalanche hazard mapping has a long tradition in the European Alps. Hazard maps delineate areas of potential avalanche danger and are only available for selected areas where people and significant infrastructure are endangered. They have been created over generations, at specific sites, mainly based on avalanche activity in the past. For a large part of the area (90 % in the case of the Canton of Grisons) no maps are available. This is a problem when new territory with no or incomplete historical record is to be developed. It is an even larger problem when trying to predict the effects of climate change at the state scale where the historical record may no longer be valid. To close this gap, we develop an automated approach to generate spatial continuous hazard indication mapping based on a digital elevation model for the canton of Grisons (7105 km2) in the Swiss Alps. We calculate eight different scenarios with return periods ranging from frequent to very rare as well as with and without taking the protective effects of the forest into account. This approach combines the automated delineation of potential release areas, the calculation of release depths and the numerical simulation of the avalanche dynamics. This procedure can be applied worldwide, where high spatial resolution digital elevation models, detailed information on the forest and data on the snow climate are available, enabling reproducible hazard indication mapping also in regions where no avalanche hazard maps yet exist. This is invaluable for climate change studies. The simulation results are validated with official hazard maps, by assessments of avalanche experts and by existing avalanche cadastres derived from manual mapping and mapping based on satellite datasets. The results for the canton of Grisons are now operationally applied in the daily hazard assessment work of the authorities. Based on these experiences, the proposed approach can be applied for further mountain regions. [ABSTRACT FROM AUTHOR]

Highlights • Snow penetration resistance was measured repeatedly below bark beetle killed trees. • Variability in snow stratigraphy was quantified with a new layer matching algorithm. • Spatial variability in snow stratigraphy is driven by percentage of canopy cover. • Leaving dead trees in protection forests contributes to avalanche protection. • Salvage logging can result in snow stratigraphy more prone to avalanche release. Abstract Healthy, dense forests growing in avalanche terrain reduce the likelihood of slab avalanche release by inhibiting the formation of continuous snow layers and weaknesses in the snowpack. Driven by climate change, trends towards more frequent and severe bark beetle disturbances have already resulted in the death of millions of hectares of forest in North America and central Europe, affecting snowpack in mountain forests and potentially reducing their protective capacity against avalanches. We examined the spatial variability in snow stratigraphy, i.e., the characteristic layering of the snowpack, by repeatedly measuring vertical profiles of snow penetration resistance with a digital snow micro penetrometer (SMP) along 10- and 20-m transects in a spruce beetle-infested Engelmann spruce forest in Utah, USA. Three study plots were selected characterizing different stages within a spruce beetle outbreak cycle: non-infested/green, infested > 3 years ago/gray stage, and salvage-logged. A fourth plot was installed in a non-forested meadow as the control. Based on our SMP measurements and a layer matching algorithm, we quantified the spatial variability in snow stratigraphy, and tested which forest, snow and/or meteorological conditions influenced differences between our plots using linear mixed effects models. Our results showed that spatial variability in snow stratigraphy was best explained by the percentage of canopy covering a transect (R2 = 0.71, p < 0.001), and that only 14% of the variance was explained by the stage within the outbreak cycle. That is, differences between green and gray stage stands did not depend much on the reduction in needle mass, but spatial variability in snow stratigraphy increased significantly with increasing forest canopy cover. At both study plots, a more heterogeneous snow stratigraphy developed, which translates to disrupted and discontinuous snow layers and, therefore, reduced avalanche formation. We attribute this to the effect that small fine branches and twigs still present in the canopy of gray stage trees have on snow interception and unloading, and especially on canopy drip. In contrast, salvage logging that reduced the canopy cover to ∼25%, led to a spatially less variable and similar snow stratigraphy as observed in the meadow. At these two study plots, a homogeneous snow stratigraphy consisting of distinct vertical and continuous slope-parallel soft and hard snow layers including weak layers had formed, a condition which is generally more prone to avalanche release. Our findings therefore emphasize advantages of leaving dead trees in place, especially in protection forests where bark beetle populations have reached epidemic levels. [ABSTRACT FROM AUTHOR]

Gravitational natural hazards such as snow avalanches, rockfalls, shallow landslides and volcanic activity represent a risk to mountain communities around the world. In particular, where documentary records about these processes are rare, decisions on risk management and landuse planning have to be based on a variety of other sources including vegetation, tree-ring data and natural hazard process models. We used a combination of these methods in order to evaluate dynamics of natural hazards with a focus on snow avalanches at Valle Las Trancas, in the Biobío region in Chile. Along this valley, natural hazards threaten not only the local human population, but also the numerous tourists attracted by outdoor recreational activities. Given the regional scarcity of documentary records, tree-ring methods were applied in order to reconstruct the local history of snow avalanches and debris flow events, which are the most important weather-related processes at respective tracks. A recent version of the model Rapid Mass MovementS (RAMMS), which includes influences of forest structure, was used to calculate different avalanche parameters such as runout distances and maximum pressures, taking into consideration the presence or absence of forest along the tracks as well as different modeled return periods. Our results show that local Nothofagus broadleaf forests contribute to a reduction of avalanche runout distances as well as impact pressure on present infrastructure, thus constituting a valuable ecosystem disaster risk reduction measure that can substitute or complement other traditional measures such as snow sheds. [ABSTRACT FROM AUTHOR]

Since the late 1960s it became clear that a more sustainable protection of people and property from the negative impacts of natural hazards will require a more balanced use of structural and non-structural measures, such as land-use planning and ecosystem-based solutions for disaster risk reduction, also called Eco-DRR. The most prominent example of Eco-DRR in mountainous regions are forests that protect people, settlements and infrastructures against gravitational natural hazards such as avalanches, landslides and hazards related to mountain torrents. The goal of this paper is to provide an overview on the influence of forests on risks induced by natural hazards and the associated challenges and uncertainties concerning risk analysis. Approaches from natural hazard risk are presented, along with recent results from forest research, thereby offering new ways to integrate forests into risk analysis. We discuss the potential effects of forests on the three important hazard components of the risk concept, namely the onset probability, the propagation probability and the intensity, and propose a set of guiding principles for integrating forests into quantitative risk assessment (QRA) for natural hazards. Our focus thereby lies on snow avalanches, rockfalls, floods, landslides, and debris flows. This review shows that existing methods and models for assessing forest effects on natural hazards suffice for integrating forests into QRA. However, they are mostly limited to the stand- or slope-scale, and further efforts are therefore needed to upscale these approaches to a regional level, and account for uncertainties related to forest effects and natural dynamics. Such a dynamic, rather than a static assessment of risk will finally allow for planning and implementing intelligent combinations of Eco-DRR and technical protection measures. [ABSTRACT FROM AUTHOR]

We study how short duration powder avalanche blasts can break and overturn tall trees. Tree blow-down is often used to back-calculate avalanche pressure and therefore constrain avalanche flow velocity and motion. We find that tall trees are susceptible to avalanche air blasts because the duration of the air blast is near to the period of vibration of tall trees, both in bending and root-plate overturning. Dynamic magnification factors for bending and overturning failures should therefore be considered when back-calculating avalanche impact pressures. [ABSTRACT FROM AUTHOR]

Disturbances are among the most important processes that shape forest dynamics and landscapes. However the historic ranges of variability (HRV) of many coniferous forests in Europe and specifically in the mountains on the Balkan Peninsula are not well understood. We present the first overview of available data on disturbance events in coniferous forests in the high mountains in southwestern Bulgaria. Our study included data from historical publications, documents and archives, newer documentary data obtained through interviews with foresters and verified using satellite images, published studies and new tree-ring data. We documented at least 188 abiotic disturbance events in the Bulgarian mountains including fires (39%), windthrows (31%) and avalanches (20%) and fewer disturbances caused by snow and ice. Fires primarily affected Pine-dominated ecosystems, especially pure Pinus sylvestris and mixed Pinus sylvestris-Pinus nigra forests. Our tree-ring analysis also provided evidence for repeated fires in subalpine Pinus heldreichii and Pinus peuce forests during the last 500 years. Some of these fires affected different valleys within the same year, suggesting either large-scale events or the simultaneous occurrence of fires related to appropriate fuel and climate conditions. We also found data on several large fires in Picea abies -dominated ecosystems. Most of the fires were less than 100 ha, but some were larger, the most extensive of which was the Batalach fire (year 1890, approximately 9000 ha) in the Western Rhodopes. The highest frequency of fires was in 1880–1910, 1940–1950 and 2000–2010. We found evidence for at least 59 windthrows greater than 1 ha, mainly in pure Picea abies and mixed Picea abies-Pinus sylvestris forests. There was high variability in the size of windthrows, ranging from small-scale, gap-sized blowdowns to large and infrequent disturbances affecting more than 300 ha, the largest of which was the Beglika windthrow (1961, 3000 ha). Although avalanches are considered important for subalpine forests on steep slopes they were generally poorly documented and data were limited to several avalanche cycles in 1955, 1963–1974 and in the last two decades. Snow-related damage was important mostly for young pine forests in which several events affected a high stock of wood in the 1930s, 1987, 1988 and 2015. Our data show that natural disturbances of various types and of a range of sizes are part of the natural dynamics of coniferous forests in Bulgaria. Further, our study contributes to the understanding of the historic range of variability of mountain forests in Europe. [ABSTRACT FROM AUTHOR]

• The structure of forest with bark-beetle-induced spruce die-back changed over time. • The recovering bark beetle stand became more diverse than the former dense forest. • Snags delayed wood decay and thus the establishment of seedlings on deadwood. • The bark beetle stand's protective function reached a minimum after 10–15 years. • Bark beetle stands may provide protection against small- to medium-scale avalanches. Large-scale bark beetle outbreaks in spruce dominated mountain forests have increased in recent decades, and this trend is expected to continue in the future. These outbreaks have immediate and major effects on forest structure and ecosystem services. However, it remains unclear how forests recover from bark beetle infestations over the long term, and how different recovery stages fulfil the capacity of forests to protect infrastructures and human lives from natural hazards. The aim of this study was to investigate how a bark beetle infestation (1992–1997) in a spruce dominated forest in the Swiss Alps changed the forest structure and its protective function against snow avalanches. In 2020, i.e. 27 years after the peak of the outbreak, we re-surveyed the composition and height of new trees, as well as the deadwood height and degree of decay in an area that had been surveyed 20 years earlier. With the help of remote sensing data and avalanche simulations, we assessed the protective effect against avalanches before the disturbances (in 1985) and in 1997, 2007, 2014 and 2019 for a frequent (30-year return period) and an extreme (300-year return period) avalanche scenario. Post-disturbance regeneration led to a young forest that was again dominated by spruce 27 years after the outbreak, with median tree heights of 3–4 m and a crown cover of 10–30%. Deadwood covered 20–25% of the forest floor and was mainly in decay stages two and three out of five. Snags had median heights of 1.4 m, leaning logs 0.5 m and lying logs 0.3 m. The protective effect of the forest was high before the bark beetle outbreak and decreased during the first years of infestation (until 1997), mainly in the case of extreme avalanche events. The protective capacity reached an overall minimum in 2007 as a result of many forest openings. It partially recovered by 2014 and further increased by 2019, thanks to forest regeneration. Simulation results and a lack of avalanche releases since the infestation indicate that the protective capacity of post-disturbance forest stands affected by bark beetle may often be underestimated. [ABSTRACT FROM AUTHOR]

A long-standing problem in avalanche science is to understand how forests stop avalanches. In this paper we quantify the effect of forests on small and medium avalanches, crucial for road and skirun safety. We performed field studies on seven avalanches where trees affected the runout. We gathered information concerning the release zone location and dimension, deposition patterns and heights, runout distance and forest structure. In these studies the trees were not destroyed, but acted as rigid obstacles. Wedge-like depositions formed behind (1) individual tree stems, (2) dense tree groups and (3) young trees with low-lying branches. Using the observations as a guide, we developed a one-parameter function to extract momentum corresponding to the stopped mass from the avalanche. The function was implemented in a depth-averaged avalanche dynamics model and used to predict the observed runout distances and mean deposition heights for the seven case studies. The approach differs from existing forest interaction models, which modify avalanche friction to account for tree breakage and debris entrainment. Our results underscore the importance of forests in mitigating the danger from small-to-medium avalanches. [ABSTRACT FROM AUTHOR]

Abstract: The protection of people, buildings and infrastructure against natural hazards is one of the key functions of mountain forests. Since the protective function strongly depends on small-scale local conditions such as terrain and stand characteristics, spatially explicit evaluation methods are necessary to provide information required for an effective and cost-efficient forest management. Risk analyses are recognized as the best method for estimating the danger from various natural hazards. Currently, however, risk-based strategies are rarely addressed in the management of protection forest. We present and discuss a risk-based approach to evaluate the protective effect of mountain forests in a spatially explicit manner to demonstrate the advantages of future risk-based protection forest management. We illustrate the approach by performing a GIS-based risk analysis in the case study area ‘Bannwald of Andermatt’ (Switzerland) for a 300-year snow avalanche event. Classifying forest structures based on aerial photographs allowed developing different forest cover scenarios and modeling potential avalanche release areas within the forest. Potential avalanche release areas above the forest and the avalanche run-out distances under five different scenarios of forest cover were calculated by using a two-dimensional avalanche simulation model. We calculated the annual collective risk for each scenario and compared the change in risk to reveal the spatial distribution of the protective effect of the forest. Resulting risks differed strongly between forest cover change scenarios. An enlargement of an existing wind-disturbed area within lower parts of the slope resulted only in a slight increase of risk. In contrast, the effect of an unforested area in the upper parts of the observed forest more than doubled the risk. These results show how a risk-based approach can help to quantify and illustrate the impact of differences in forest cover on the protective effect of mountain forests. It is a promising approach to determine the economic value of protection forests and thus provide quantitative and qualitative information for cost-efficient forest maintenance planning. With regard to the achievements of research to date, the presented approach may serve as a valuable method to support decision-making in a future protection forest management. [Copyright &y& Elsevier]

Abstract: Avalanche disturbances are important processes in many subalpine forest ecosystems but have received relatively little research attention in comparison to other major types of disturbances. This paper presents a review of interactions between forests and snow avalanches in mountain ecosystems and discusses how avalanche disturbance regimes and associated management may change in the future. Avalanche disturbance regimes are two-way interactions in which forest structure and composition affect avalanches and avalanches, in turn, affect structure and composition. Avalanches can damage or kill individual trees over 10–100s of hectares in forests that are located in vulnerable topographic settings. At a stand scale, avalanche disturbances typically result in forest communities that are characterized by smaller and shorter trees, shade intolerant species, lower stem densities, and greater structural diversity compared to many unaffected subalpine forests. These disturbed communities often provide unique habitats for various animal and plant species and can contribute to overall higher alpha and beta biodiversity. At a broader scale, avalanche tracks provide increased landscape heterogeneity and edge density and can serve as firebreaks. Conversely, forests can affect the likelihood of avalanches starting and can thus protect large areas of human settlement and infrastructure. Forests generally reduce the likelihood of avalanche disturbances in mountain environments, but the degree to which forests serve this function varies with stand structure. Forest conditions that reduce likelihood of avalanche releases include a crown coverage of >30%, the absence of gaps >25m in length, and an increased terrain roughness associated with lying or standing trees that exceed snow-depth. Future changes in climate and land-use are likely to impact forest cover and composition as well as snow avalanche disturbances. This is likely to alter the location of areas where avalanches play an important role in stand dynamics. Current knowledge on avalanche–forest disturbances provides a useful basis for managing avalanche prone forests based on cost-efficiency considerations. However, further research is needed to address uncertainties in the current knowledge of avalanche disturbances, the likely interacting effects of changes in climate and land-use on avalanche regimes, potential future shifts of avalanche prone areas, and the impacts of avalanches on biodiversity and other ecosystem services. [Copyright &y& Elsevier]

Abstract: Natural disturbances have been among the most important driving factors in many ecosystems. Anthropogenic suppression of various disturbances has led to documented changes in ecosystem structure and function. Avalanche disturbances are one of the most important processes in many subalpine ecosystems world-wide and avalanche tracks provide unique habitat for various animal and plant species. Over the past decades the natural avalanche regime in the Alps has been disrupted by snow-supporting structures and other measures intended to prevent the occurrence of avalanches. We hypothesized that suppression of avalanche disturbances changes stand structure and composition and increases the relative importance of climatic stress (the degree to which climatic conditions limit the growth of vegetation). We analyzed stand structure and tree growth at high and low elevations in pairs of active avalanche tracks and tracks from which avalanches have been excluded in the Swiss Alps. Data on density and size of all tree species were collected in the field to analyze stand structure and increment core samples were collected to analyze tree growth. In tracks from which avalanches have been excluded, dbh (diameter at breast height), tree height, annual tree-ring widths, correlation of ring widths between trees, and correlation of ring-width indices with growing-season temperature were all greater than in active tracks, indicating an acceleration of ecosystem development and an increase in the relative importance of climatic stress. Within tracks from which avalanches have been excluded, increases in tree size and ring width were more pronounced at lower elevations while correlation of ring-width indices with growing-season temperature was more pronounced at higher elevations. The anthropogenic alteration of the natural avalanche regime is beginning to cause changes in the structure and function of some subalpine forests. The continued suppression of avalanches, while valuable for social reasons, is likely to eventually lead to the decline of certain ecological communities and may alter subsequent forest dynamics. In addition to changing forest structure, the suppression of avalanche disturbances is also changing the relative importance of the factors that are controlling ecosystem development by increasing the role of climatic stress in ecosystem development. We suggest that, in general, the suppression of disturbances predictably changes the relative importance of stress and competition along existing environmental gradients. Such changes represent a major alteration of ecosystem structure and function. [Copyright &y& Elsevier]

Abstract: Mountain forests play a crucial role in avalanche control by modifying the snow''s mechanical properties. However, snow avalanches do occur in forests due to unfavorable combinations of site, snow and weather conditions and these so-called ‘forest avalanches’ can pose hazard to human settlements and infrastructure. While the meteorological contributory factors of avalanche releases in open unforested terrain are relatively well understood, much less is known about snow and weather conditions associated with avalanche releases in forests. In order to identify such critical meteorological situations, we analyzed 21 snow and weather variables of 189 naturally released forest avalanches. By applying a hierarchical clustering method, we distinguished two forest avalanche types: (1) ‘new snow forest avalanches’ which release in periods of heavy snowfall and under stormy and permanently cold conditions and (2) ‘old snow forest avalanches’ which release after periods of high insolation and an increase in air temperature. Snow and weather conditions of new snow forest avalanches are rare and clearly distinguishable by classification trees from those of avalanches released in open unforested terrain at similar elevations. We tested for long-term trends in the occurrence of favorable meteorological conditions for forest avalanches during 41 winters (1970/71–2010/11) applying a logistic regression model. The number of potential forest avalanche days decreased at 11 of 14 snow and weather stations in the Swiss Alps for new snow forest avalanches and at 12 of 14 stations for old snow forest avalanches, independent from elevation and climatic region. These negative trends suggest a further decrease of snow and weather conditions associated with avalanche releases in forests under current climate change and, in combination with the currently observed increase in forest cover density in the Swiss Alps, it is thus likely that avalanche releases in forested terrain will become less frequent. However, such events will also occur in the future and the presented characterization of meteorological conditions could support avalanche warning and forest services in forecasting forest avalanches. [Copyright &y& Elsevier]

Mountain forests offer effective, natural and cost-efficient protection against avalanches. Trees reduce the probability of an avalanche formation and can significantly decelerate small to medium size avalanches. Remote sensing methods enable an efficient assessment of forest structural parameters on large scale and therefore determine the protective capacity of a specific forest. The aims of this study are: (i) to evaluate the quality of forest structural parameters obtained from remote sensing data using two different methods; and (ii) to determine how forest parameters and forest cover changes influence avalanche runout. We compared the control assessment of maximum tree height and crown coverage in 107 plots (50 in evergreen and 57 in deciduous forests). The same parameters were analysed using (i) a photogrammetry-based vegetation height model (VHM P) and (ii) a LiDAR-based vegetation height model (VHM L). The control assessment of surface roughness was compared to the analysis of a digital terrain model (DTM). We then simulated two avalanche case studies near Davos (Switzerland) with forest parameters estimated by the remote sensing and control methods. Tree height and crown coverage assessed with both remote sensing methods (VHM P and VHM L) did not differ significantly from the control measurements. However, surface roughness was underestimated. This had a significant influence on simulation results. For the first case study, a wet-snow avalanche, the simulated runout distances did not differ significantly, when using forest parameters from either of the two tested remote sensing methods. The simulated runout distance increased for an avalanche scenario with less forest cover in the release area and/or less forest cover after forest destruction by a preceding avalanche event. For the second case study, a dry-snow avalanche, the forest cover was underestimated by the VHM P , which led to longer simulated runout distances. Our study indicates that available remote sensing methods are increasingly suitable for the determination of forest parameters which are relevant for avalanche simulation models. However, more research is needed on the precise estimation of forest cover in release areas and understanding how forest cover changes affect avalanche runout. • High resolution remote sensing data are suitable to determine forest parameters for avalanche simulation • Surface roughness is underestimated using a 1 m resolution digital terrain model • Underestimation of forest cover in release areas may lead to an overestimation of runout distance • Spatial and temporal changes in forest structure should be taken into account in avalanche modeling [ABSTRACT FROM AUTHOR]