72 citations as recorded by crossref.

1. Emergent vulnerability to climate-driven disturbances in European forests G. Forzieri et al. 10.1038/s41467-021-21399-7
2. Wind disturbance in forests: A bibliometric analysis and systematic review W. Gao & M. Larjavaara 10.1016/j.foreco.2024.122001
3. Analysis of Current and Future Forest Disturbances Dynamics in Central Europe M. Gejdoš & K. Michajlová 10.3390/f13040554
4. Quarter century of mercury litterfall at a coniferous forest responding to climate change, Central Europe T. Navrátil et al. 10.1007/s11356-024-33555-9
5. Introducing a new hazard and exposure atlas for European winter storms C. Jung & D. Schindler 10.1016/j.scitotenv.2024.172566
6. Effect of urbanization on gust wind speed in summer over an urban area in Eastern China G. Liu et al. 10.1088/1748-9326/acddfa
7. Modeling the interaction between wildfires and windthrows: A pilot case study for Italian Alps L. Mauri et al. 10.1016/j.jenvman.2024.123150
8. Windstorm Impacts on Forest-Related Socio-Ecological Systems: An Analysis from a Socio-Economic and Institutional Perspective F. Romagnoli et al. 10.3390/f13060939
9. Human or natural? Landscape context improves the attribution of forest disturbances mapped from Landsat in Central Europe J. Sebald et al. 10.1016/j.rse.2021.112502
10. Use of TanDEM-X and SRTM-C Data for Detection of Deforestation Caused by Bark Beetle in Central European Mountains K. Gdulová et al. 10.3390/rs13153042
11. Economic Impacts of Forest Storms—Taking Stock of After-Vaia Situation of Local Roundwood Markets in Northeastern Italy A. Udali et al. 10.3390/f12040414
12. Mapping the forest disturbance regimes of Europe C. Senf & R. Seidl 10.1038/s41893-020-00609-y
13. Post‐disturbance canopy recovery and the resilience of Europe’s forests C. Senf & R. Seidl 10.1111/geb.13406
14. Assessing the effectiveness of “River Morphodynamic Corridors” for flood hazard mapping A. Brenna et al. 10.1016/j.geomorph.2024.109460
15. Modelling forest biomass dynamics in relation to climate change in Romania using complex data and machine learning algorithms R. Prăvălie et al. 10.1007/s00477-022-02359-z
16. Estimating VAIA Windstorm Damaged Forest Area in Italy Using Time Series Sentinel-2 Imagery and Continuous Change Detection Algorithms F. Giannetti et al. 10.3390/f12060680
17. Changes in planned and unplanned canopy openings are linked in Europe’s forests R. Seidl & C. Senf 10.1038/s41467-024-49116-0
18. Mapping Windthrow Severity as Change in Canopy Cover in a Temperate Eucalypt Forest N. Hinko-Najera et al. 10.3390/rs16244710
19. Tropical cyclones enhance photosynthesis in moisture-stressed regions of India R. Kashyap & J. Kuttippurath 10.1038/s41612-025-00988-z
20. The Effects of Wind Exposure on Scots Pine Trees: Within-Stem Variability of Wood Density and Mechanical Properties A. Tomczak et al. 10.3390/f11101095
21. Assmann review: spatial ecology of rotational and continuous cover forestry in boreal landscapes D. Binkley 10.1007/s10342-024-01756-z
22. Multi-decadal trend analysis and forest disturbance assessment of European tree species: concerning signs of a subtle shift C. Bonannella et al. 10.1016/j.foreco.2023.121652
23. Characteristics of Forest Windthrow Produced in Eastern Carpathians in February 2020 M. Ciocirlan & V. Câmpu 10.3390/f15010176
24. Responding to Large-Scale Forest Damage in an Alpine Environment with Remote Sensing, Machine Learning, and Web-GIS M. Piragnolo et al. 10.3390/rs13081541
25. Mapping protection effects and gaps of forest dynamics in Europe 2012 to 2018 M. Wolff et al. 10.1016/j.ecolind.2024.112895
26. Effect of Stem Snapping on Aspen Timber Assortment Recovery in Hemiboreal Forests L. Čakša et al. 10.3390/f12010028
27. Storm and fire disturbances in Europe: Distribution and trends C. Senf & R. Seidl 10.1111/gcb.15679
28. Association Of Spatial And Temporal Windthrow Distribution With Convective Parameters And Lightning Density In Russia A. Shikhov et al. 10.24057/2071-9388-2025-3590
29. Generating multi-temporal landslide inventories through a general deep transfer learning strategy using HR EO data K. Bhuyan et al. 10.1038/s41598-022-27352-y
30. Multi-model convection-resolving simulations of the October 2018 Vaia storm over Northeastern Italy L. Giovannini et al. 10.1016/j.atmosres.2021.105455
31. Wall-to-Wall Mapping of Forest Biomass and Wood Volume Increment in Italy F. Giannetti et al. 10.3390/f13121989
32. Evaluating wind damage vulnerability in the Alps: A new wind risk model parametrisation M. Costa et al. 10.1016/j.agrformet.2023.109660
33. Disturbance-intervention interactions on post-windthrow hillslope runoff and erosion processes in the Eastern Italian Alps K. Koyanagi et al. 10.1016/j.jhydrol.2025.133001
34. The utility of fused airborne laser scanning and multispectral data for improved wind damage risk assessment over a managed forest landscape in Finland R. Gopalakrishnan et al. 10.1007/s13595-020-00992-8
35. Forest disturbance detection in Central Europe using transformers and Sentinel-2 time series C. Schiller et al. 10.1016/j.rse.2024.114475
36. Combined effects of natural disturbances and management on forest carbon sequestration: the case of Vaia storm in Italy R. Pilli et al. 10.1007/s13595-021-01043-6
37. The Mechanical Stability of Pure Norway Spruce Stands along an Altitudinal Gradient in the Czech Republic D. Dušek et al. 10.3390/f14081558
38. Forest disturbance and damage: Perspectives for forest monitoring and reporting G. Robertson et al. 10.62320/fm.v1.i1.10
39. Satellite open data to monitor forest damage caused by extreme climate-induced events: a case study of the Vaia storm in Northern Italy G. Vaglio Laurin et al. 10.1093/forestry/cpaa043
40. Future Scenarios of Forest Carbon Sink in a Typical Subtropical County W. Gong et al. 10.3390/f15111887
41. Modelling salvage cuts in Austrian Forests – I: Wind and snow induced tree breakage T. Suliman & T. Ledermann 10.1016/j.foreco.2024.122479
42. Multispectral Spaceborne Proxies of Predisposing Forest Structure Attributes to Storm Disturbance—A Case Study from Germany B. Garamszegi et al. 10.3390/f13122114
43. Estimated Biomass Loss Caused by the Vaia Windthrow in Northern Italy: Evaluation of Active and Passive Remote Sensing Options G. Vaglio Laurin et al. 10.3390/rs13234924
44. Disturbance impacts on Mediterranean forests across climate and management scenarios A. Ameztegui et al. 10.1016/j.jenvman.2024.123193
45. Towards open data sharing initiatives in the forestry sector: The example of the Italian National Forestry Information System (SINFor) M. Pecchi et al. 10.1016/j.forpol.2024.103320
46. Conceptualization and First Realization Steps for a Multi-Camera System to Capture Tree Streamlining in Wind F. Kammel & A. Reiterer 10.3390/f15111846
47. Forest ecosystem on the edge: Mapping forest fragmentation susceptibility in Tuchola Forest, Poland S. Dutt et al. 10.1016/j.ecolind.2024.111980
48. Wind damage to forests and trees: a review with an emphasis on planted and managed forests B. Gardiner 10.1080/13416979.2021.1940665
49. Review article: A European perspective on wind and storm damage – from the meteorological background to index-based approaches to assess impacts D. Gliksman et al. 10.5194/nhess-23-2171-2023
50. Does the winter storm-related wind gust intensity in Germany increase under warming climate? – A high-resolution assessment C. Jung & D. Schindler 10.1016/j.wace.2021.100360
51. Highly resolved modeling of extreme wind speed in North America and Europe C. Jung et al. 10.1002/asl.1082
52. Pinus pinaster root architecture 2 to 5 years after container rearing and outplanting: tropism loss, root clustering and resilience F. Danjon et al. 10.1007/s11104-024-06807-3
53. Forest Damage by Extra-Tropical Cyclone Klaus-Modeling and Prediction Ł. Pawlik et al. 10.3390/f13121991
54. What drives major channel widening in mountain rivers during floods? The role of debris floods during a high-magnitude event A. Brenna et al. 10.1016/j.geomorph.2023.108650
55. LiDAR insights on stand structure and topography in mountain forest wind extreme events: The Vaia case study M. Torresani et al. 10.1016/j.agrformet.2024.110267
56. NDVI-based ecological dynamics of forest vegetation and its relationship to climate change in Romania during 1987–2018 R. Prăvălie et al. 10.1016/j.ecolind.2022.108629
57. Do the natural dynamics of West Carpathian forests affect the diversity of epiphytic lichens on Norway spruce? M. Tanona & P. Czarnota 10.1016/j.actao.2022.103830
58. Windthrow resistance of trees: geotechnical engineering approach M. Mansour et al. 10.1007/s00468-024-02488-8
59. A Deep Learning Approach for Calamity Assessment Using Sentinel-2 Data D. Scharvogel et al. 10.3390/f11121239
60. Ecosystem heterogeneity is key to limiting the increasing climate-driven risks to European forests G. Forzieri et al. 10.1016/j.oneear.2024.10.005
61. Gravimetry and hydrologic data to constrain the hydrodynamics of a karstic area: The Škocjan Caves study case T. Pivetta et al. 10.1016/j.jhydrol.2023.130453
62. Concerns about reported harvests in European forests M. Palahí et al. 10.1038/s41586-021-03292-x
63. Responses of a soil fungal community to severe windstorm damages in an old silver fir stand F. Venice et al. 10.3389/fmicb.2023.1246874
64. Windstorm impacts on European forest-related systems: An interdisciplinary perspective F. Romagnoli et al. 10.1016/j.foreco.2023.121048
65. Development of a catalogue of damage in Portuguese forest associated with extreme extratropical cyclones S. Ribeiro et al. 10.1016/j.scitotenv.2021.151948
66. Tropical cyclones facilitate recovery of forest leaf area from dry spells in East Asia Y. Chen & S. Luyssaert 10.5194/bg-20-349-2023
67. Automatic Identification of Forest Disturbance Drivers Based on Their Geometric Pattern in Atlantic Forests L. Alonso et al. 10.3390/rs14030697
68. Natural disturbances risks in European Boreal and Temperate forests and their links to climate change – A review of modelling approaches J. Machado Nunes Romeiro et al. 10.1016/j.foreco.2022.120071
69. Assessing the importance of conditioning factor selection in landslide susceptibility for the province of Belluno (region of Veneto, northeastern Italy) S. Meena et al. 10.5194/nhess-22-1395-2022
70. Application of climate-smart forestry – Forest manager response to the relevance of European definition and indicators E. Bowditch et al. 10.1016/j.tfp.2022.100313
71. A satellite-derived database for stand-replacing windthrow events in boreal forests of European Russia in 1986–2017 A. Shikhov et al. 10.5194/essd-12-3489-2020
72. A spatially explicit database of wind disturbances in European forests over the period 2000–2018 G. Forzieri et al. 10.5194/essd-12-257-2020