Increasing forest disturbances in Europe and their impact on carbon storage

Warming and earlier spring increase western U.S. forest wildfire activity.

Westerling, A. L., Hidalgo, H. G., Cayan, D. R., & Swetnam, T. W. (2006) · Science · doi:10.1126/science.1128834 · Cited by 5,176

Climate change impacts, adaptive capacity, and vulnerability of European forest ecosystems

Lindner, M., Maroschek, M., Netherer, S., Kremer, A., Barbati, A., García-Gonzalo, J., Seidl, R., Delzon, S., Corona, P., Kolström, M., et al. (2009) · Forest Ecology and Management · doi:10.1016/j.foreco.2009.09.023 · Cited by 2,430

Mountain pine beetle and forest carbon feedback to climate change

Kurz, W. A., Dymond, C. C., Stinson, G., Rampley, G. J., Neilson, E. T., Carroll, A. L., Ebata, T., & Safranyik, L. (2008) · Nature · doi:10.1038/nature06777 · Cited by 1,940

Disturbances and structural development of natural forest ecosystems with silvicultural implications, using Douglas-fir forests as an example

Franklin, J. F., Spies, T. A., Pelt, R. V., Carey, A. B., Thornburgh, D. A., Berg, D. R., Lindenmayer, D. B., Harmon, M. E., Keeton, W. S., Shaw, D. C., et al. (2002) · Forest Ecology and Management · doi:10.1016/s0378-1127(01)00575-8 · Cited by 1,797

Cross-scale Drivers of Natural Disturbances Prone to Anthropogenic Amplification: The Dynamics of Bark Beetle Eruptions

Raffa, K. F., Aukema, B. H., Bentz, B., Carroll, A. L., Hicke, J. A., Turner, M. G., & Romme, W. H. (2008) · BioScience · doi:10.1641/b580607 · Cited by 1,783

Climate change may cause severe loss in the economic value of European forest land

Hanewinkel, M., Cullmann, A. D., Schelhaas, M., Nabuurs, G. J., & Zimmermann, N. E. (2012) · Nature Climate Change · doi:10.1038/nclimate1687 · Cited by 1,128

Natural disturbances in the European forests in the 19th and 20th centuries

Schelhaas, M., Nabuurs, G. J., & Schuck, A. (2003) · Global Change Biology · doi:10.1046/j.1365-2486.2003.00684.x · Cited by 1,058

Climate-induced boreal forest change: Predictions versus current observations

Soja, A. J., Tchebakova, N. M., French, N. H. F., Flannigan, M., Shugart, H. H., Stocks, B. J., Иванович, С. А., Parfenova, E. I., Chapin, F. S., & Stackhouse, P. W. (2006) · Global and Planetary Change · doi:10.1016/j.gloplacha.2006.07.028 · Cited by 760

Continued warming could transform Greater Yellowstone fire regimes by mid-21st century

Westerling, A. L., Turner, M. G., Smithwick, E. A. H., Romme, W. H., & Ryan, M. G. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1110199108 · Cited by 648

Unraveling the drivers of intensifying forest disturbance regimes in Europe

Seidl, R., Schelhaas, M., & Lexer, M. J. (2011) · Global Change Biology · doi:10.1111/j.1365-2486.2011.02452.x · Cited by 609

Erratum: Corrigendum: Increasing forest disturbances in Europe and their impact on carbon storage

Seidl, R., Schelhaas, M., Rammer, W., & Verkerk, P. J. (2014) · Nature Climate Change · doi:10.1038/nclimate2393 · Cited by 21

BAMFORESTS: Bamberg Benchmark Forest Dataset of Individual Tree Crowns in Very-High-Resolution UAV Images

Troles, J., Schmid, U., Fan, W., & Tian, J. (2024) · Remote Sensing · doi:10.3390/rs16111935 · Cited by 32

Modeling Forest Growth Under Current and Future Climate

Boukhris, I., Marano, G., Dalmonech, D., Valentini, R., & Collalti, A. (2025) · Current Forestry Reports · doi:10.1007/s40725-025-00249-5 · Cited by 20

Long-Term Effect of Lophodermium Needle Cast on The Growth of Scots Pine and Implications for Financial Outcomes

Jansons, Ā., Zeltiņš, P., Donis, J., & Neimane, U. (2020) · Forests · doi:10.3390/f11070718 · Cited by 20

The role of climate-fuel feedbacks on Holocene biomass burning in upper-montane Carpathian forests

Carter, V. A., Bobek, P., Moravcová, A., Šolcová, A., Chiverrell, R. C., Clear, J. L., Finsinger, W., Feurdean, A., Tanţău, I., Magyari, E. K., et al. (2020) · Global and Planetary Change · doi:10.1016/j.gloplacha.2020.103264 · Cited by 20

Relations between structural characteristics, forest involvement, and forest knowledge among private forest owners in Sweden

Eriksson, L., & Fries, C. (2020) · European Journal of Forest Research · doi:10.1007/s10342-020-01314-3 · Cited by 20

Tree failure prediction model (TFPM): machine learning techniques comparison in failure hazard assessment of Platanus orientalis in urban forestry

Jahani, A., & Saffariha, M. (2021) · Natural Hazards · doi:10.1007/s11069-021-04972-7 · Cited by 20

Tree Mortality Risks Under Climate Change in Europe: Assessment of Silviculture Practices and Genetic Conservation Networks

Petit‐Cailleux, C., Davi, H., Lefèvre, F., Verkerk, P. J., Fady, B., Lindner, M., & Oddou‐Muratorio, S. (2021) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2021.706414 · Cited by 20

Coppice loss and persistence in Germany

Kamp, J. (2022) · Trees Forests and People · doi:10.1016/j.tfp.2022.100227 · Cited by 20

The timber footprint of German bioeconomy scenarios compared to the planetary boundaries for sustainable roundwood supply

Egenolf, V., Distelkamp, M., Morland, C., O’Brien, M., & Bringezu, S. (2022) · Sustainable Production and Consumption · doi:10.1016/j.spc.2022.07.029 · Cited by 20

CO2 fertilization contributed more than half of the observed forest biomass increase in northern extra‐tropical land

He, Y. L., Liu, Y., Lei, L., Terrer, C., Huntingford, C., Peñuelas, J., Xu, H., & Piao, S. L. (2023) · Global Change Biology · doi:10.1111/gcb.16806 · Cited by 20

Declining trees growth and vegetation productivity resulting from decreasing soil water contents induced by tunnels excavation in karst mountain areas

Zeng, S., Jiang, Y., Wu, Z., Zhang, C., & Lv, T. (2023) · Ecological Indicators · doi:10.1016/j.ecolind.2023.110555 · Cited by 20

Climate change impacts on key forest functions of the Vienna Woods

Pötzelsberger, E., Wolfslehner, B., & Hasenauer, H. (2015) · European Journal of Forest Research · doi:10.1007/s10342-015-0866-2 · Cited by 20

Patterns of ecosystem carbon density in edge-affected fengshui forests

Ma, L., Shen, C., Lou, D., Fu, S., & Guan, D. (2017) · Ecological Engineering · doi:10.1016/j.ecoleng.2017.07.037 · Cited by 20

Assessment of the Response of a Scots Pine Tree to Effective Wind Loading

Schindler, D., & Kolbe, S. (2020) · Forests · doi:10.3390/f11020145 · Cited by 20

Forest disturbance and salvage logging have neutral long-term effects on drinking water quality but alter biodiversity

Georgiev, K. B., Beudert, B., Bässler, C., Feldhaar, H., Heibl, C., Karasch, P., Müller, J. C., Perlík, M., Weiß, I., & Thorn, S. (2021) · Forest Ecology and Management · doi:10.1016/j.foreco.2021.119354 · Cited by 21

Understanding the benefits and challenges of harvested wood products in response to climate change

Xue, M., Dai, M., Li, H., Deng, H., Wang, S., Sun, M., & Wang, Y. (2024) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2024.107739 · Cited by 22

Long-term annual estimation of forest above ground biomass, canopy cover, and height from airborne and spaceborne sensors synergies in the Iberian Peninsula

Tanase, M. A., Mihai, M. C., Miguel, S., Cantero, A., Tijerín‐Triviño, J., Ruiz‐Benito, P., Domingo, D., García-Martín, A., Aponte, C., & Gracia, M. T. L. (2024) · Environmental Research · doi:10.1016/j.envres.2024.119432 · Cited by 22

The effect of forest disturbances and regeneration scenario on soil organic carbon pools and fluxes: a review

Pietrzykowski, M., Świątek, B., Woś, B., Klamerus‐Iwan, A., Mąsior, P., Pająk, M., Gruba, P., Likus‐Cieślik, J., Tabor, J., Ksepko, M., et al. (2024) · Journal of Forestry Research · doi:10.1007/s11676-024-01807-6 · Cited by 19

Source or Sink? Carbon Dynamics in Eastern Old-Growth Forests and Their Role in Climate Change Mitigation

Keeton, W. S. (2018) · Island Press/Center for Resource Economics eBooks · doi:10.5822/978-1-61091-891-6_14 · Cited by 19

The Water Footprint of Wood for Energy Consumed in the European Union

Schyns, J. F., & Vanham, D. (2019) · Water · doi:10.3390/w11020206 · Cited by 19

How multiple and interacting disturbances shape tree diversity in European mountain landscapes

Schuler, L. J., Bugmann, H. K. M., Petter, G., & Snell, R. S. (2019) · Landscape Ecology · doi:10.1007/s10980-019-00838-3 · Cited by 18

Effects of Windthrows on Forest Cover, Tree Growth and Soil Characteristics in Drought-Prone Pine Plantations

Camarero, J. J., Colangelo, M., Gazol, A., Pizarro, M., Valeriano, C., & Igual, J. M. (2021) · Forests · doi:10.3390/f12070817 · Cited by 19

From Forest Dynamics to Wetland Siltation in Mountainous Landscapes: A RS-Based Framework for Enhancing Erosion Control

Hernández-Romero, G., Álvarez‐Martínez, J. M., Pérez‐Silos, I., Silió‐Calzada, A., Vieites, D. R., & Barquín, J. (2022) · Remote Sensing · doi:10.3390/rs14081864 · Cited by 19

Novel indices for snow avalanche protection assessment and monitoring of wind-disturbed forests

Baggio, T., Piazza, N., Bast, A., Bebi, P., & D’Agostino, V. (2022) · Ecological Engineering · doi:10.1016/j.ecoleng.2022.106677 · Cited by 19

Environmental decision support system for Plane trees failure prediction: A comparison of multi‐layer perceptron and random forest modeling approaches

Jahani, A., & Saffariha, M. (2022) · Agrosystems Geosciences & Environment · doi:10.1002/agg2.20316 · Cited by 19

Modeling windthrow effects on water runoff and hillslope stability in a mountain catchment affected by the VAIA storm

Mauri, L., & Tarolli, P. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.164831 · Cited by 19

Regional climate affects habitat preferences and thermal sums required for development of the Eurasian spruce bark beetle, Ips typographus

Lindman, L., Ranius, T., & Schroeder, M. L. (2023) · Forest Ecology and Management · doi:10.1016/j.foreco.2023.121216 · Cited by 19

Monitoring succession after a non-cleared windthrow in a Norway spruce mountain forest using webcam, satellite vegetation indices and turbulent CO 2 exchange

Matiu, M., Bothmann, L., Steinbrecher, R., & Menzel, A. (2017) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2017.05.020 · Cited by 19

Explaining gender differences in private forest risk management

Eriksson, L. (2018) · Scandinavian Journal of Forest Research · doi:10.1080/02827581.2018.1453944 · Cited by 22

Carbon uptake by European agricultural land is variable, and in many regions could be increased: Evidence from remote sensing, yield statistics and models of potential productivity.

Neumann, M., & Smith, P. (2018) · Science of the Total Environment · doi:10.1016/j.scitotenv.2018.06.268 · Cited by 16

Forest ecosystem services in Nepal: a retrospective synthesis, research gaps and implications in the context of climate change

Lamsal, P., Kumar, L., Atreya, K., & Pant, K. P. (2018) · The International Forestry Review · doi:10.1505/146554818825240647 · Cited by 19

Following the damage: Increasing western barbastelle bat activity in bark beetle infested stands in Białowieża Primeval forest

Rachwald, A., Ciesielski, M., Szurlej, M., & Żmihorski, M. (2021) · Forest Ecology and Management · doi:10.1016/j.foreco.2021.119803 · Cited by 19

Roadmap to develop a stress test for forest ecosystem services supply

Krämer, K., Bouriaud, L., Feindt, P. H., van Wassenaer, L., Glanemann, N., Hanewinkel, M., van der Heide, C. M., Hengeveld, G., Hoogstra-Klein, M., Ingram, V. J., et al. (2022) · One Earth · doi:10.1016/j.oneear.2021.12.009 · Cited by 19

Increasing risk of global forest loss from extreme wildfires under climate change

Huang, K., Wu, X., Zhang, L., Geng, H., & Qu, Y. (2025) · International Journal of Digital Earth · doi:10.1080/17538947.2025.2483982 · Cited by 22

Mountain Landscape Dynamics after Large Wind and Bark Beetle Disasters and Subsequent Logging—Case Studies from the Carpathians

Falťan, V., Petrovič, F., Gábor, M., Šagát, V., & Hruška, M. (2021) · Remote Sensing · doi:10.3390/rs13193873 · Cited by 18

Evaluation of Small-Scale Gasification for CHP for Wood from Salvage Logging in the Czech Republic

Malaťáková, J., Jankovský, M., Malaťák, J., Velebil, J., Tamelová, B., Gendek, A., & Aniszewska, M. (2021) · Forests · doi:10.3390/f12111448 · Cited by 18

The Role of Forests in Climate Change Mitigation: The EU Context

Vizzarri, M., Pilli, R., Korosuo, A., Frate, L., & Grassi, G. (2021) · Managing forest ecosystems · doi:10.1007/978-3-030-80767-2_15 · Cited by 18

An Improved Forest Structure Data Set for Europe

Pucher, C., Neumann, M., & Hasenauer, H. (2022) · Remote Sensing · doi:10.3390/rs14020395 · Cited by 18

Spruce bark beetles ( Ips typographus ) cause up to 700 times higher bark BVOC emission rates compared to healthy Norway spruce ( Picea abies )

Jaakkola, E., Gärtner, A., Jönsson, A. M., Ljung, K., Olsson, P., & Holst, T. (2023) · Biogeosciences · doi:10.5194/bg-20-803-2023 · Cited by 18

Fire Protection Principles and Recommendations in Disturbed Forest Areas in Central Europe: A Review

Berčák, R., Holuša, J., Kaczmarowski, J., Tyburski, Ł., Szczygieł, R., Held, A., Vacik, H., Slivinský, J., & Chromek, I. (2023) · Fire · doi:10.3390/fire6080310 · Cited by 18

Trait-Based Response of Deadwood and Tree-Related Microhabitats to Decline in Temperate Lowland and Montane Forests

Bouget, C., Cours, J., Larrieu, L., Parmain, G., Müller, J. C., Speckens, V., & Sallé, A. (2023) · Ecosystems · doi:10.1007/s10021-023-00875-9 · Cited by 18

Severe and frequent extreme weather events undermine economic adaptation gains of tree-species diversification

Fuchs, J. M., Husmann, K., Schick, J., Albert, M., Lintunen, J., & Paul, C. (2024) · Scientific Reports · doi:10.1038/s41598-024-52290-2 · Cited by 18

Forest carbon payments: A multidisciplinary review of policy options for promoting carbon storage in EU member states

Assmuth, A., Autto, H., Halonen, K.-M., Haltia, E., Huttunen, S., Lintunen, J., Lonkila, A., Nieminen, T. M., Ojanen, P., Peltoniemi, M., et al. (2024) · Land Use Policy · doi:10.1016/j.landusepol.2024.107341 · Cited by 20

Implementation of a Marauding Insect Module (MIM, version 1.0) in the Integrated BIosphere Simulator (IBIS, version 2.6b4) dynamic vegetation–land surface model

Landry, J., Price, D. T., Ramankutty, N., Parrott, L., & Matthews, H. D. (2016) · Geoscientific model development · doi:10.5194/gmd-9-1243-2016 · Cited by 18

Comparison of Genetic Diversity in Naturally Regenerated Norway Spruce Stands and Seed Orchard Progeny Trials

Rungis, D. E., Luguza, S., Bāders, E., Šķipars, V., & Jansons, Ā. (2019) · Forests · doi:10.3390/f10100926 · Cited by 18

Controlling landscape-scale bark beetle dynamics: Can we hit the right spot?

Augustynczik, A. L. D., Dobor, L., & Hlásny, T. (2021) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2020.104035 · Cited by 18

Spatial distribution of carbon dynamics and nutrient enrichment capacity in different layers and tree tissues of Castanopsis eyeri natural forest ecosystem

Farooq, T. H., Xincheng, X., Shakoor, A., Rashid, M. H. U., Bashir, M. F., Nawaz, M., Kumar, U., Shahzad, S. M., & Yan, W. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-16400-1 · Cited by 18

Rapid bird species recovery following high‐severity wildfire but in the absence of early successional specialists

Lindenmayer, D. B., Blanchard, W., Bowd, E., Scheele, B. C., Foster, C. N., Lavery, T. H., McBurney, L., & Blair, D. P. (2022) · Diversity and Distributions · doi:10.1111/ddi.13611 · Cited by 18

Process-Based Models: A Synthesis of Models and Applications to Address Environmental and Management Issues

Larocque, G. R., Komarov, A. S., Chertov, O., Shanin, V. N., Liu, J., Bhatti, J. S., Wang, W., Peng, C. H., Shugart, H. H., Xi, W., et al. (2015) · Applied ecology and environmental management · doi:10.1201/b19150-11 · Cited by 18

Consequences of different sample drying temperatures for accuracy of biomass inventories in forest ecosystems

Jagodziński, A. M., Dyderski, M. K., Gęsikiewicz, K., & Horodecki, P. (2020) · Scientific Reports · doi:10.1038/s41598-020-73053-9 · Cited by 17

Sheltered or suppressed? Tree regeneration in unmanaged European forests

Käber, Y., Bigler, C., Lambers, J. H. R., Hobi, M. L., Nagel, T. A., Aakala, T., Blaschke, M., Brang, P., Brzeziecki, B., Carrer, M., et al. (2023) · Journal of Ecology · doi:10.1111/1365-2745.14181 · Cited by 17

Forest Carbon Calculators: A Review for Managers, Policymakers, and Educators

Zald, H. S. J., Spies, T. A., Harmon, M. E., & Twery, M. J. (2015) · Journal of Forestry · doi:10.5849/jof.15-019 · Cited by 17

Solving Conflicts among Conservation, Economic, and Social Objectives in Boreal Production Forest Landscapes: Fennoscandian Perspectives

Mönkkönen, M., Burgas, D., Eyvindson, K., Tortorec, E. L., Peura, M., Pohjanmies, T., Repo, A., & Triviño, M. (2018) · Springer eBooks · doi:10.1007/978-3-319-74515-2_7 · Cited by 20

Searching for Pareto Fronts for Forest Stand Wind Stability by Incorporating Timber and Biodiversity Values

Merganič, J., Merganičová, K., Výbošťok, J., Valent, P., Bahýľ, J., & Yousefpour, R. (2020) · Forests · doi:10.3390/f11050583 · Cited by 17

Managing interacting disturbances: Lessons from a case study in Australian forests

Lindenmayer, D. B., Foster, C. N., Westgate, M. J., Scheele, B. C., & Blanchard, W. (2020) · Journal of Applied Ecology · doi:10.1111/1365-2664.13696 · Cited by 17

Reconciling forest profitability and biodiversity conservation under disturbance risk: the role of forest management and salvage logging

Augustynczik, A. L. D., Asbeck, T., Basile, M., Jonker, M., Knuff, A. K., Yousefpour, R., & Hanewinkel, M. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/abad5a · Cited by 17

Predicting multi-species bark beetle (Coleoptera: Curculionidae: Scolytinae) occurrence in Alaska: First use of open access big data mining and open source GIS to provide robust inference and a role model for progress in forest conservation

Zabihi, K., Huettmann, F., & Young, B. (2021) · Biodiversity Informatics · doi:10.17161/bi.v16i1.14758 · Cited by 17

Synchronised disturbances in spruce- and beech-dominated forests across the largest primary mountain forest landscape in temperate Europe

Kameniar, O., Vostarek, O., Mikoláš, M., Svitok, M., Frankovič, M., Morrissey, R. C., Kozák, D., Nagel, T. A., Dušátko, M., Pavlin, J., et al. (2023) · Forest Ecology and Management · doi:10.1016/j.foreco.2023.120906 · Cited by 17

Tree aboveground biomass increment and mortality in temperate mountain forests: Tracing dynamic changes along 25-year monitoring period

Dyderski, M. K., Pawlik, Ł., Chwistek, K., & Czarnota, P. (2023) · Forest Ecology and Management · doi:10.1016/j.foreco.2023.121054 · Cited by 17

Spatio-temporal variability in structure and diversity in a semi-natural mixed oak-hornbeam floodplain forest

Grotti, M., Chianucci, F., Puletti, N., Fardusi, M. J., Castaldi, C., & Corona, P. (2019) · Ecological Indicators · doi:10.1016/j.ecolind.2019.04.014 · Cited by 17

Leveraging Past Information and Machine Learning to Accelerate Land Disturbance MonitoringPreprint

Ye, S., Zhu, Z., & Suh, J. W. (2023) · doi:10.1016/j.rse.2024.114071 · Cited by 17

The effect of forest management on endangered insects assessed by radio-tracking: The case of the ground beetle Carabus olympiae in European beech Fagus sylvatica stands

Negro, M., Caprio, E., Leo, K., Maritano, U., Roggero, A., Vacchiano, G., Palestrini, C., & Rolando, A. (2017) · Forest Ecology and Management · doi:10.1016/j.foreco.2017.09.065 · Cited by 16

Texture Features Derived from Sentinel-2 Vegetation Indices for Estimating and Mapping Forest Growing Stock Volume

Fang, G., He, X., Weng, Y., & Fang, L. (2023) · Remote Sensing · doi:10.3390/rs15112821 · Cited by 16

Growth response of oaks to insect defoliation: Immediate and intermediate perspectives

Hilmers, T., Leroy, B. M. L., Bae, S., Hahn, W. A., Hochrein, S. M., Jacobs, M., Lemme, H., Müller, J. C., Schmied, G., Weisser, W. W., et al. (2023) · Forest Ecology and Management · doi:10.1016/j.foreco.2023.121465 · Cited by 16

The consolidated European synthesis of CO 2 emissions and removals for the European Union and United Kingdom: 1990–2020

McGrath, M. J., Petrescu, A. M. R., Peylin, P., Andrew, R. M., Matthews, B., Dentener, F. J., Balkovič, J., Bastrikov, V., Becker, M., Broquet, G., et al. (2023) · Earth system science data · doi:10.5194/essd-15-4295-2023 · Cited by 19

Forty-Year Fire History Reconstruction from Landsat Data in Mediterranean Ecosystems of Algeria following International Standards

Kouachi, M. E., Khairoun, A., Moghli, A., Rahmani, S., Mouillot, F., Baeza, M. J., & Moutahir, H. (2024) · Remote Sensing · doi:10.3390/rs16132500 · Cited by 18

Airborne-laser-scanning-derived auxiliary information discriminating between broadleaf and conifer trees improves the accuracy of models for predicting timber volume in mixed and heterogeneously structured forests

Bont, L., Hill, A., Waser‬, L. T., Bürgi, A., Ginzler, C., & Blattert, C. (2020) · Forest Ecology and Management · doi:10.1016/j.foreco.2019.117856 · Cited by 16

Forest damage and subsequent recovery alter the water composition in mountain lake catchments

Schmidt, S. I., Hejzlar, J., Kopáček, J., Paule‐Mercado, M. C., Porcal, P., Vystavna, Y., & Lanta, V. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.154293 · Cited by 16

Simulating Wind Disturbances over Rubber Trees with Phenotypic Trait Analysis Using Terrestrial Laser Scanning

Zhang, B., Wang, X., Yuan, X., An, F., Zhang, H., Zhou, L., Shi, J., & Yun, T. (2022) · Forests · doi:10.3390/f13081298 · Cited by 16

Ecological assessment of forest management approaches to develop resilient forests in the face of global change in Central Europe

Huth, F., Tischer, A., Nikolova, P. S., Feldhaar, H., Wehnert, A., Hülsmann, L., Bauhus, J., Heer, K., Vogt, J., Ammer, C., et al. (2025) · Basic and Applied Ecology · doi:10.1016/j.baae.2025.05.001 · Cited by 17

Growth response of Betula pubescens Ehrh. to varying disturbance factors in northern Norway

Harr, L., Esper, J., Kirchhefer, J. A., Zhou, W. M., & Hartl, C. (2020) · Trees · doi:10.1007/s00468-020-02043-1 · Cited by 15

Comparative study of fuzzy-AHP and BBN for spatially-explicit prediction of bark beetle predisposition

Tahri, M., Kašpar, J., Madsen, A. L., Modlinger, R., Zabihi, K., Marušák, R., & Vacik, H. (2021) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2021.105233 · Cited by 15

Wind Disturbances

Wohlgemuth, T., Hanewinkel, M., & Seidl, R. (2022) · Landscape series · doi:10.1007/978-3-030-98756-5_8 · Cited by 15

Integrating Remote Sensing Data and CNN-LSTM-Attention Techniques for Improved Forest Stock Volume Estimation: A Comprehensive Analysis of Baishanzu Forest Park, China

Wang, B., Chen, Y., Yan, Z., & Liu, W. (2024) · Remote Sensing · doi:10.3390/rs16020324 · Cited by 15

Disturbance impacts on Mediterranean forests across climate and management scenarios

Améztegui, A., Coll, L., Cáceres, M. D., & Morán‐Ordóñez, A. (2024) · Journal of Environmental Management · doi:10.1016/j.jenvman.2024.123193 · Cited by 15

Soil biodiversity and environmental change in European forests

Lukáč, M. (2017) · Central European Forestry Journal · doi:10.1515/forj-2017-0010 · Cited by 16

Conventional and New Ways of Governing Forest Threats: A Study of Stakeholder Coherence in Sweden

Eriksson, L. (2017) · Environmental Management · doi:10.1007/s00267-017-0951-z · Cited by 19

Sustainable Land Management, Adaptive Silviculture, and New Forest Challenges: Evidence from a Latitudinal Gradient in Italy

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Climate limits on European forest structure across space and time

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