Cornelius Senf
@tum.de
School of Life Sciences
Technical University of Munich
RESEARCH, TEACHING, or OTHER INTERESTS
Ecology, Forestry, Environmental Science, Computers in Earth Sciences
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Judit Lecina‐Diaz, Cornelius Senf, Marc Grünig, and Rupert Seidl
Wiley
AbstractGlobal change impacts on disturbances can strongly compromise the capacity of forests to provide ecosystem services to society. In addition, many ecosystem services in Europe are simultaneously provided by forests, emphasizing the importance of multifunctionality in forest ecosystem assessments. To address disturbances in forest ecosystem policies and management, spatially explicit risk analyses that consider multiple disturbances and ecosystem services are needed. However, we do not yet know which ecosystem services are most at risk from disturbances in Europe, where the respective risk hotspots are, nor which of the main disturbance agents are most detrimental to the provisioning of multiple ecosystem services from Europe's forests. Here, we quantify the risk of losing important ecosystem services (timber supply, carbon storage, soil erosion control and outdoor recreation) to forest disturbances (windthrows, bark beetle outbreaks and wildfires) in Europe on a continental scale. We find that up to 12% of Europe's ecosystem service supply is at risk from current disturbances. Soil erosion control is the ecosystem service at the highest risk, and windthrow is the disturbance agent posing the highest risk. Disturbances challenge forest multifunctionality by threatening multiple ecosystem services simultaneously on 19.8 Mha (9.7%) of Europe's forests. Our results highlight priority areas for risk management aiming to safeguard the sustainable provisioning of forest ecosystem services.
Michael Maroschek, Rupert Seidl, Benjamin Poschlod, and Cornelius Senf
Wiley
AbstractAimNatural disturbances are key drivers of forest ecosystem dynamics and are highly sensitive to global change. Despite their importance, central disturbance characteristics remain unknown for many forests worldwide. Here, we quantified an important component of the forest disturbance regime—the distribution of patch sizes—in strictly protected areas by asking: (i) How are patch sizes of naturally occurring disturbances distributed across the Alps and how can they best be quantified? (ii) Are patch size distributions stochastic or can they be explained by environmental drivers? (iii) What are the return periods of extreme disturbance events?LocationEuropean Alps.MethodsWe analysed satellite‐based disturbance maps for the period 1986–2020 across a network of 12 strictly protected areas, modelling patch sizes of all observed disturbance patches as well as of annual extreme events. We tested the influence of temperature, precipitation, topographic complexity and forest type on patch size distributions.ResultsDisturbance patch sizes across the Alps (median 0.36 ha, 5th percentile 0.18 ha and 95th percentile 1.71 ha) as well as their annual extremes (0.72 ha, 0.18–7.11 ha) are best described by a Fréchet distribution. The size of annual extreme events significantly increased with intra‐annual temperature amplitude (+0.98 ha with a one standard deviation increase) and the share of evergreen trees (+0.63 ha). On average, disturbance patches of 5.5 ha (95% credible interval 2.6–17.5 ha) occur once every 30 years, whereas patches of 2.6 ha (1.2–7.0 ha) occur once every 10 years.Main ConclusionsDisturbances caused by natural agents are generally small and stochastic across the Alps. Extreme events are driven by climate, suggesting sensitivity of disturbance patch sizes to climate change. Our results provide a baseline for monitoring climate‐induced changes in forest disturbance regimes, and provide important information for the management and conservation of forest ecosystems.
Kristin H. Braziunas, Lisa Geres, Tobias Richter, Felix Glasmann, Cornelius Senf, Dominik Thom, Sebastian Seibold, and Rupert Seidl
Wiley
AbstractMountain forests are plant diversity hotspots, but changing climate and increasing forest disturbances will likely lead to far‐reaching plant community change. Projecting future change, however, is challenging for forest understory plants, which respond to forest structure and composition as well as climate. Here, we jointly assessed the effects of both climate and forest change, including wind and bark beetle disturbances, using the process‐based simulation model iLand in a protected landscape in the northern Alps (Berchtesgaden National Park, Germany), asking: (1) How do understory plant communities respond to 21st‐century change in a topographically complex mountain landscape, representing a hotspot of plant species richness? (2) How important are climatic changes (i.e., direct climate effects) versus forest structure and composition changes (i.e., indirect climate effects and recovery from past land use) in driving understory responses at landscape scales? Stacked individual species distribution models fit with climate, forest, and soil predictors (248 species currently present in the landscape, derived from 150 field plots stratified by elevation and forest development, overall area under the receiving operator characteristic curve = 0.86) were driven with projected climate (RCP4.5 and RCP8.5) and modeled forest variables to predict plant community change. Nearly all species persisted in the landscape in 2050, but on average 8% of the species pool was lost by the end of the century. By 2100, landscape mean species richness and understory cover declined (−13% and −8%, respectively), warm‐adapted species increasingly dominated plant communities (i.e., thermophilization, +12%), and plot‐level turnover was high (62%). Subalpine forests experienced the greatest richness declines (−16%), most thermophilization (+17%), and highest turnover (67%), resulting in plant community homogenization across elevation zones. Climate rather than forest change was the dominant driver of understory responses. The magnitude of unabated 21st‐century change is likely to erode plant diversity in a species richness hotspot, calling for stronger conservation and climate mitigation efforts.
Thomas A. M. Pugh, Rupert Seidl, Daijun Liu, Mats Lindeskog, Louise P. Chini, and Cornelius Senf
Wiley
AbstractAimThe sweeping transformation of the biosphere by humans over the last millennia leaves only limited windows into its natural state. Much of the forests that dominated temperate and southern boreal regions have been lost and those that remain typically bear a strong imprint of forestry activities and past land‐use change, which have changed forest age structure and composition. Here, we ask how would the dynamics, structure and function of temperate and boreal forests differ in the absence of forestry and the legacies of land‐use change?LocationGlobal.Time Period2001–2014, integrating over the legacy of disturbance events from 1875 to 2014.Major Taxa StudiedTrees.MethodsWe constructed an empirical model of natural disturbance probability as a function of community traits and climate, based on observed disturbance rate and form across 77 protected forest landscapes distributed across three continents. Coupling this within a dynamic vegetation model simulating forest composition and structure, we generated estimates of stand‐replacing disturbance return intervals in the absence of forestry for northern hemisphere temperate and boreal forests. We then applied this model to calculate forest stand age structure and carbon turnover rates.ResultsComparison with observed disturbance rates revealed human activities to have almost halved the median return interval of stand‐replacing disturbances across temperate forest, with more moderate changes in the boreal region. The resulting forests are typically much younger, especially in northern Europe and south‐eastern North America, resulting in a 32% reduction in vegetation carbon turnover time across temperate forests and a 7% reduction for boreal forests.ConclusionsThe current northern hemisphere temperate forest age structure is dramatically out of equilibrium with its natural disturbance regimes. Shifts towards more nature‐based approaches to forest policy and management should more explicitly consider the current disturbance surplus, as it substantially impacts carbon dynamics and litter (including deadwood) stocks.
Tristan R.H. Goodbody, Nicholas C. Coops, Cornelius Senf, and Rupert Seidl
Elsevier BV
Felix Glasmann, Cornelius Senf, Rupert Seidl, and Peter Annighöfer
Elsevier BV
Svetlana Turubanova, Peter Potapov, Matthew C. Hansen, Xinyuan Li, Alexandra Tyukavina, Amy H. Pickens, Andres Hernandez-Serna, Adrian Pascual Arranz, Juan Guerra-Hernandez, Cornelius Senf,et al.
Elsevier BV
Michiel Vandewiele, Lisa Geres, Annette Lotz, Lisa Mandl, Tobias Richter, Sebastian Seibold, Rupert Seidl, and Cornelius Senf
Elsevier BV
Rudolf Reiner, Rupert Seidl, Sebastian Seibold, and Cornelius Senf
Wiley
Abstract As climate change intensifies and demand for timber rises, forest disturbances are increasing. Disturbances in forests cause an abrupt loss in canopy cover and increase resource availability on the ground, which can have manifold effects on the habitat quality of forest‐dwelling species. One pathway through which disturbances influence habitat quality is by creating edges within forests. Disturbance‐created edges differ from edges to other land cover types in that they are transient, that is, they persist only for a limited period of time until canopy closes again. While the effects of permanent edges are well‐studied in ecology, the role of transient edges remains largely unclear. Here, we investigated whether edges caused by forest disturbances affect the individual fitness of two contrasting ungulates by examining the body mass of 378,602 roe deer (Capreolus capreolus) and Alpine chamois (Rupicapra rupicapra rupicapra) yearlings collected between 1992 and 2019 in the Eastern Alps. Transient edges had a significant positive effect on the body mass of both species. The effect size was larger for chamois than for roe deer, with yearling body mass increasing by up to 0.18 kg in female chamois for each 10 m ha−1 increase in edge density. Elevation modulated the effect of edges on chamois body mass, with a weaker effect of transient edges in high‐elevation forests that are naturally more open. The effect duration of transient edges was longer for roe deer than for chamois, lasting for up to 9 years post‐disturbance. The body mass effect of transient edges created by forest disturbances was an order of magnitude stronger than the effect of permanent edges between forests and other land cover types. Synthesis and applications: Increasing forest disturbances under climate change could improve the fitness of ungulates, potentially affecting forest recovery through browsing. Managers and hunting authorities should consider the effect of disturbances and dynamically changing carrying capacity of forest landscapes more explicitly when making decisions regarding habitat management and hunting policies. Such a dynamic perspective is an important element in balancing vital ungulate populations and healthy forest ecosystems.
Lisa Mandl, Ana Stritih, Rupert Seidl, Christian Ginzler, and Cornelius Senf
Wiley
AbstractThe launch of NASA's Global Ecosystem Dynamics Investigation (GEDI) mission in 2018 opens new opportunities to quantitatively describe forest ecosystems across large scales. While GEDI's height‐related metrics have already been extensively evaluated, the utility of GEDI for assessing the full spectrum of structural variability—particularly in topographically complex terrain—remains incompletely understood. Here, we quantified GEDI's potential to estimate forest structure in mountain landscapes at the plot and landscape level, with a focus on variables of high relevance in ecological applications. We compared five GEDI metrics including relative height percentiles, plant area index, cover and understory cover to airborne laser scanning (ALS) data in two contrasting mountain landscapes in the European Alps. At the plot level, we investigated the impact of leaf phenology and topography on GEDI's accuracy. At the landscape‐scale, we evaluated the ability of GEDIs sample‐based approach to characterize complex mountain landscapes by comparing it to wall‐to‐wall ALS estimates and evaluated the capacity of GEDI to quantify important indicators of ecosystem functions and services (i.e., avalanche protection, habitat provision, carbon storage). Our results revealed only weak to moderate agreement between GEDI and ALS at the plot level (R2 from 0.03 to 0.61), with GEDI uncertainties increasing with slope. At the landscape‐level, however, the agreement between GEDI and ALS was generally high, with R2 values ranging between 0.51 and 0.79. Both GEDI and ALS agreed in identifying areas of high avalanche protection, habitat provision, and carbon storage, highlighting the potential of GEDI for landscape‐scale analyses in the context of ecosystem dynamics and management.
Ana Stritih, Rupert Seidl, and Cornelius Senf
Springer Science and Business Media LLC
AbstractContextStructure is a central dimension of forest ecosystems that is closely linked to their capacity to provide ecosystem services. Drivers such as changing disturbance regimes are increasingly altering forest structure, but large-scale characterizations of forest structure and disturbance-mediated structural dynamics remain rare.ObjectivesHere, we characterize large-scale patterns in the horizontal and vertical structure of mountain forests and test for the presence of alternative structural states. We investigate factors determining the occurrence of structural states and the role of disturbance and recovery in transitions between states.MethodsWe used spaceborne lidar (GEDI) to characterize forest structure across the European Alps. We combined GEDI-derived structural metrics with Landsat-based disturbance maps and related structure to topography, climate, landscape configuration, and past disturbances.ResultsWe found two alternative states of forest structure that emerged consistently across all forest types of the Alps: short, open-canopy forests (24%) and tall, closed-canopy forests (76%). In the absence of disturbance, open-canopy forests occurred at high elevations, forest edges, and warm, dry sites. Disturbances caused a transition to open-canopy conditions in approximately 50% of cases. Within 35 years after disturbance, 72% of forests recovered to a closed-canopy state, except in submediterranean forests, where recovery is slow and long-lasting transitions to open-canopy conditions are more likely.ConclusionsAs climate warming increases disturbances and causes thermophilization of vegetation, transitions to open-canopy conditions could become more likely in the future. Such restructuring could pose a challenge for forest management, as open-canopy forests have lower capacities for providing important ecosystem services.
Mauro Hermann, M. Röthlisberger, A. Gessler, A. Rigling, Cornelius Senf, T. Wohlgemuth and H. Wernli
Abstract. Forest dieback in Europe has recently intensified and has become more extensive. This dieback is strongly influenced by meteorological variations of temperature, T2m, and precipitation, P, and can be monitored with forest greenness. This study quantitatively investigates the 3-year meteorological history preceding events of reduced forest greenness in Europe's temperate and Mediterranean biome with a systematic approach. A specific focus lies in the timing of unusually persistent and unusually strong anomalies of T2m and P, as well as their relation to synoptic weather systems. A pragmatic approach based on remote sensing observations of the normalized difference vegetation index (NDVI) serves to identify low-forest-NDVI events at the 50 km scale in Europe in June to August 2002–2022. We quantify the impact of the hottest summer on record in Europe in 2022, which, according to our criteria, negatively affected 37 % of temperate and Mediterranean forest regions, and thereby reduced forest greenness more extensively than any other summer in 2002–2022. The low-NDVI events occurred in particularly dry and hot summers, but their meteorological histories also featured significant anomalies further in the past, with clear differences between the temperate and Mediterranean biome. A key feature is the anomalous accumulation of dry periods (i.e., periods with a P deficit) over the preceding 26 and 34 months in the temperate and Mediterranean biome, respectively. In the temperate biome only, T2m was anomalously persistent during almost the same 26-month period and featured distinctive peaks late in the past three growing seasons. While anomalously strong hot–dry conditions were characteristic of temperate low-NDVI events already in the previous summer, we find hardly any other systematic meteorological precursor in the Mediterranean prior to the event year. The identified dry periods went along with reduced cyclone activity in the Mediterranean and positive anticyclone frequency in the temperate biome. The occurrence of these two weather systems is locally more nuanced, showing, e.g., consistently increased and decreased cyclone frequency over western and northern Europe, respectively, in all event summers. Finally, the systematic meteorological histories are useful to test whether locally observed meteorological impacts, e.g., structural overshoot, systematically influenced the investigated events. In summary, systematic investigations of the multi-annual meteorological history provided clear evidence of how surface weather and synoptic-scale weather systems over up to 3 years can negatively impact European forest greenness. The observation of the record-extensive low-NDVI event in the summer of 2022 underlines that understanding the forest–meteorology interaction is of particular relevance for forest dieback in a changing climate.
Marc Grünig, Rupert Seidl, and Cornelius Senf
Wiley
AbstractArea burned has decreased across Europe in recent decades. This trend may, however, reverse under ongoing climate change, particularly in areas not limited by fuel availability (i.e. temperate and boreal forests). Investigating a novel remote sensing dataset of 64,448 fire events that occurred across Europe between 1986 and 2020, we find a power‐law relationship between maximum fire size and area burned, indicating that large fires contribute disproportionally to fire activity in Europe. We further show a robust positive correlation between summer vapor pressure deficit and both maximum fire size (R2 = .19) and maximum burn severity (R2 = .12). Europe's fire regimes are thus highly sensitive to changes in future climate, with the probability for extreme fires more than doubling by the end of the century. Our results suggest that climate change will challenge current fire management approaches and could undermine the ability of Europe's forests to provide ecosystem services to society.
Catalina Munteanu, Cornelius Senf, Mihai D. Nita, Francesco Maria Sabatini, Julian Oeser, Rupert Seidl, and Tobias Kuemmerle
Wiley
AbstractHigh‐conservation‐value forests (HCVFs) are critically important for biodiversity and ecosystem service provisioning, but they face many threats. Where systematic HCVF inventories are missing, such as in parts of Eastern Europe, these forests remain largely unacknowledged and therefore often unprotected. We devised a novel, transferable approach for detecting HCVFs based on integrating historical spy satellite images, contemporary remote sensing data (Landsat), and information on current potential anthropogenic pressures (e.g., road infrastructure, population density, demand for fire wood, terrain). We applied the method to the Romanian Carpathians, for which we mapped forest continuity (1955–2019), canopy structural complexity, and anthropogenic pressures. We identified 738,000 ha of HCVF. More than half of this area was identified as susceptible to current anthropogenic pressures and lacked formal protection. By providing a framework for broad‐scale HCVF monitoring, our approach facilitates integration of HCVF into forest conservation and management. This is urgently needed to achieve the goals of the European Union's Biodiversity Strategy to maintain valuable forest ecosystems.
Maksym Matsala, Cornelius Senf, Andrii Bilous, Petro Diachuk, Roman Zadorozhniuk, Maksym Burianchuk, and Rupert Seidl
Wiley
AbstractQuestionsNuclear power is under increasing consideration in many countries because it is a low‐carbon strategy to satisfy growing energy demands. Yet, the long‐term environmental impacts of nuclear accidents remain unclear. Here we asked how ionizing radiation affects tree regeneration and forest development after the Chernobyl nuclear accident. We hypothesized that high levels of 137Cs contamination in the soil: (a) inhibit tree establishment; (b) accelerate structural development (i.e., facilitation of an early differentiation of tree sizes); while (c) prolonging the dominance of early‐seral deciduous communities (because of an elevated susceptibility of conifers to ionizing radiation).LocationChernobyl Exclusion Zone, Ukraine.MethodsWe sampled 103 plots on former agricultural lands in the Chernobyl Exclusion Zone that were abandoned after the accident in 1986.ResultsContamination had no significant effect on the stem density of forests established on former agricultural lands (p = 0.769). Structural development was not accelerated by radioactive contamination (p > 0.191), but we did find weak indications that the presence of tree regeneration was reduced by high radiation levels (p = 0.054). Tree species composition did not vary significantly with contamination (p = 0.250). Individual Scots pine trees did, however, experience a considerably higher proportion of deformed stems when contamination levels were high (p = 0.009).ConclusionsOur analyses confirm negative effects of radioactive contamination on the individual tree health of Scots pine, yet early stand development in the Chernobyl Exclusion Zone was largely insensitive to different levels of radiation. As wildfires threaten to remobilize and redistribute radionuclides stored in the growing forests of the Chernobyl Exclusion Zone, our findings have potential implications for human health. We conclude that forest dynamics is a key element for assessing the long‐term risk at nuclear accident sites and requires intensified research and monitoring.
Cornelius Senf and Rupert Seidl
Wiley
AbstractAimForest ecosystems around the globe are facing increasing natural and human disturbances. Increasing disturbances can challenge forest resilience, that is, the capacity of forests to sustain their functions and services in the face of disturbance. Quantifying resilience across large spatial extents remains challenging, as it requires the assessment of the ability of forests to recover from disturbance. Here we analysed the resilience of Europe’s forests by means of satellite‐based recovery and disturbance indicators.LocationContinental Europe (35 countries).Time period1986–2018.Major taxa studiedGymnosperm and angiosperm woody plant species.MethodsWe used a comprehensive set of manually interpreted reference plots and random forest regression to model annual canopy cover from remote sensing data across more than 30 million disturbance patches in Europe over the time period 1986–2018. From annual time series of canopy cover, we estimated the time it takes disturbed areas to recover to pre‐disturbance canopy cover levels using space‐for‐time substitution. We quantified forest resilience as the ratio between canopy disturbance and recovery intervals, with critical resilience defined as forest areas where canopy disturbances occurred faster than canopy recovery.ResultsOn average across Europe, forests recover to pre‐disturbance canopy cover within 30 years. The resilience of Europe’s forests to disturbance is high, with recovery being > 10 times faster than disturbance on 69% of the forest area. However, 14% of Europe’s forests had low or critical resilience, with disturbances occurring as fast or faster than forest canopy can recover.Main conclusionsWe conclude that Europe’s forests are widely resilient to past disturbance regimes, yet changing climate and disturbance regimes could erode resilience.
Cornelius Senf and Rupert Seidl
Copernicus GmbH
Abstract. Europe was affected by an extreme drought in 2018, compounding with an extensive heat wave in the same and subsequent years. Here we provide a first assessment of the impacts this compounding event had on forest disturbance regimes in Europe. We find that the 2018 drought caused unprecedented levels of forest disturbance across large parts of Europe, persisting up to 2 years post-drought. The 2018 drought pushed forest disturbance regimes in Europe to the edge of their past range of variation, especially in central and eastern Europe. Increased levels of forest disturbance were associated with low soil water availability in 2018 and were further modulated by high vapor pressure deficit from 2018 to 2020. We also document the emergence of novel spatiotemporal disturbance patterns following the 2018 drought (i.e., more and larger disturbances, occurring with higher spatiotemporal autocorrelation) that will have long-lasting impacts on forest structure and raise concerns about a potential loss of forest resilience. We conclude that the 2018 drought had unprecedented impacts on forest disturbance regimes in Europe, highlighting the urgent need to adapt Europe's forests to a hotter and drier future with more disturbance.
Julius Sebald, Cornelius Senf, and Rupert Seidl
Elsevier BV
Cornelius Senf and Rupert Seidl
Wiley
AbstractAbiotic forest disturbances are an important driver of ecosystem dynamics. In Europe, storms and fires have been identified as the most important abiotic disturbances in the recent past. Yet, how strongly these agents drive local disturbance regimes compared to other agents (e.g., biotic, human) remains unresolved. Furthermore, whether storms and fires are responsible for the observed increase in forest disturbances in Europe is debated. Here, we provide quantitative evidence for the prevalence of storm and fire disturbances in Europe 1986–2016. For 27 million disturbance patches mapped from satellite data, we determined whether they were caused by storm or fire, using a random forest classifier and a large reference dataset of true disturbance occurrences. We subsequently analyzed patterns of disturbance prevalence (i.e., the share of an agent on the overall area disturbed) in space and time. Storm‐ and fire‐related disturbances each accounted for approximately 7% of all disturbances recorded in Europe in the period 1986–2016. Storm‐related disturbances were most prevalent in western and central Europe, where they locally accounted for >50% of all disturbances, but we also identified storm‐related disturbances in south‐eastern and eastern Europe. Fire‐related disturbances were a major disturbance agent in southern and south‐eastern Europe, but fires also occurred in eastern and northern Europe. The prevalence and absolute area of storm‐related disturbances increased over time, whereas no trend was detected for fire‐related disturbances. Overall, we estimate an average of 127,716 (97,680–162,725) ha of storm‐related disturbances per year and an average of 141,436 (107,353–181,022) ha of fire‐related disturbances per year. We conclude that abiotic disturbances caused by storm and fire are important drivers of forest dynamics in Europe, but that their influence varies substantially by region. Our analysis further suggests that increasing storm‐related disturbances are an important driver of Europe's changing forest disturbance regimes.
Kureha F. Suzuki, Yuta Kobayashi, Rupert Seidl, Cornelius Senf, Shinichi Tatsumi, Dai Koide, Wakana A. Azuma, Motoki Higa, Tomoyo F. Koyanagi, Shenhua Qian,et al.
Elsevier BV
Cornelius Senf, Julius Sebald, and Rupert Seidl
Elsevier BV
Marc Palahí, Rubén Valbuena, Cornelius Senf, Nezha Acil, Thomas A. M. Pugh, Jonathan Sadler, Rupert Seidl, Peter Potapov, Barry Gardiner, Lauri Hetemäki,et al.
Springer Science and Business Media LLC
Julian Oeser, Marco Heurich, Cornelius Senf, Dirk Pflugmacher, and Tobias Kuemmerle
Wiley
AbstractDisturbances play a key role in driving forest ecosystem dynamics, but how disturbances shape wildlife habitat across space and time often remains unclear. A major reason for this is a lack of information about changes in habitat suitability across large areas and longer time periods. Here, we use a novel approach based on Landsat satellite image time series to map seasonal habitat suitability annually from 1986 to 2017. Our approach involves characterizing forest disturbance dynamics using Landsat‐based metrics, harmonizing these metrics through a temporal segmentation algorithm, and then using them together with GPS telemetry data in habitat models. We apply this framework to assess how natural forest disturbances and post‐disturbance salvage logging affect habitat suitability for two ungulates, roe deer (Capreolus capreolus) and red deer (Cervus elaphus), over 32 yr in a Central European forest landscape. We found that red and roe deer differed in their response to forest disturbances. Habitat suitability for red deer consistently improved after disturbances, whereas the suitability of disturbed sites was more variable for roe deer depending on season (lower during winter than summer) and disturbance agent (lower in windthrow vs. bark‐beetle‐affected stands). Salvage logging altered the suitability of bark beetle‐affected stands for deer, having negative effects on red deer and mixed effects on roe deer, but generally did not have clear effects on habitat suitability in windthrows. Our results highlight long‐lasting legacy effects of forest disturbances on deer habitat. For example, bark beetle disturbances improved red deer habitat suitability for at least 25 yr. The duration of disturbance impacts generally increased with elevation. Methodologically, our approach proved effective for improving the robustness of habitat reconstructions from Landsat time series: integrating multiyear telemetry data into single, multi‐temporal habitat models improved model transferability in time. Likewise, temporally segmenting the Landsat‐based metrics increased the temporal consistency of our habitat suitability maps. As the frequency of natural forest disturbances is increasing across the globe, their impacts on wildlife habitat should be considered in wildlife and forest management. Our approach offers a widely applicable method for monitoring habitat suitability changes caused by landscape dynamics such as forest disturbance.
Ana Stritih, Cornelius Senf, Rupert Seidl, Adrienne Grêt-Regamey, and Peter Bebi
Elsevier BV