The DOI matches its Crossref record; 99 of the 101 references it cites were found in a registry or an index.
Forest disturbances under climate change
Open accessAbstract
Forest disturbances are sensitive to climate. However, our understanding of disturbance dynamics in response to climatic changes remains incomplete, particularly regarding large-scale patterns, interaction effects and dampening feedbacks. Here we provide a global synthesis of climate change effects on important abiotic (fire, drought, wind, snow and ice) and biotic (insects and pathogens) disturbance agents. Warmer and drier conditions particularly facilitate fire, drought and insect disturbances, while warmer and wetter conditions increase disturbances from wind and pathogens. Widespread interactions between agents are likely to amplify disturbances, while indirect climate effects such as vegetation changes can dampen long-term disturbance sensitivities to climate. Future changes in disturbance are likely to be most pronounced in coniferous forests and the boreal biome. We conclude that both ecosystems and society should be prepared for an increasingly disturbed future of forests.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Climate change-related forest decline is observed in many regions, e.g., in the US Northwest and British Columbia, in which drought and increasing fire frequency interact with additional stressors such as insect infestation (79).”
From Restoring Degraded Lands (2021) · cites this paper as [79]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
circlize implements and enhances circular visualization in R
Gu, Z., Gu, L., Eils, R., Schlesner, M., & Brors, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu393 · Cited by 4,290
The Ecology of Natural Disturbance and Patch Dynamics.
Proctor, J., Pickett, S. T. A., & White, P. S. (1986) · Journal of Applied Ecology · doi:10.2307/2403105 · Cited by 3,948
(2002) · Cited by 3,806
Panarchy: Understanding Transformations in Human and Natural Systems
Price, M. F. (2003) · Biological Conservation · doi:10.1016/s0006-3207(03)00041-7 · Cited by 3,329
Irreversible climate change due to carbon dioxide emissions
Solomon, S., Plattner, G.-K., Knutti, R., & Friedlingstein, P. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0812721106 · Cited by 3,217
Tropical cyclones and climate change
Knutson, T. R., McBride, J. L., Chan, J., Emanuel, K., Holland, G., Landsea, C., Held, I., Kossin, J. P., Srivastava, A. K., & Sugi, M. (2010) · Nature Geoscience · doi:10.1038/ngeo779 · Cited by 3,194
Allen, C. D., Breshears, D. D., & McDowell, N. G. (2015) · Ecosphere · doi:10.1890/es15-00203.1 · Cited by 2,679
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
Self-citationThe Role of Disturbance in Natural Communities
Sousa, W. P. (1984) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.es.15.110184.002033 · Cited by 2,326
Climate Change and Forest Disturbances
Dale, V. H., Joyce, L. A., McNulty, S. G., Neilson, R. P., Ayres, M. P., FLANNIGAN, M. D., Hanson, P. J., Irland, L. C., Lugo, A. E., Peterson, A. T., et al. (2001) · BioScience · doi:10.1641/0006-3568(2001)051[0723:ccafd]2.0.co;2 · Cited by 2,249
Flagged first, then by citations
2 of the 101 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- IPCC Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) (Cambridge Univ. Press, 2013).
Cited by
Sorted by citations
Items 801–900 of 1,000
Trilemma of Nordic–Baltic Forestry—How to Implement UN Sustainable Development Goals
Högbom, L., Abbas, D., Armolaitis, K., Bāders, E., Futter, M. N., Jansons, Ā., Jõgiste, K., Lazdiņš, A., Lukminė, D., Mustonen, M., et al. (2021) · Sustainability · doi:10.3390/su13105643 · Cited by 27
Gdulová, K., Marešová, J., Barták, V., Szostak, M., Červenka, J., & Moudrý, V. (2021) · Remote Sensing · doi:10.3390/rs13153042 · Cited by 21
Espinosa, J., Benito, D. M., de Rivera, Ó. R., Hernando, C., Guijarro, M., & Madrigal, J. (2021) · Applied Sciences · doi:10.3390/app11167462 · Cited by 21
Manton, M., Ruffner, C. M., Kibirkštis, G., Brazaitis, G., Marozas, V., Pukienė, R., Makrickienė, E., & Angelstam, P. K. (2022) · Land · doi:10.3390/land11020260 · Cited by 21
Comparing methods that quantify forest disturbances in the United States’ national forest inventory
Fitts, L. A., Domke, G. M., & Russell, M. B. (2022) · Environmental Monitoring and Assessment · doi:10.1007/s10661-022-09948-z · Cited by 21
Bao, Y., Han, A., Zhang, J., Liu, X., Tong, Z., & Bao, Y. (2022) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2022.109023 · Cited by 21
Kulla, L., Roessiger, J., Bošeľa, M., Kucbel, S., Murgaš, V., Vencúrik, J., Pittner, J., Jaloviar, P., Šumichrast, L., & Saniga, M. (2022) · Forest Ecology and Management · doi:10.1016/j.foreco.2022.120633 · Cited by 24
Pests, wind and fire: A multi-hazard risk review for natural disturbances in forests
Bastit, F., Brunette, M., & Montagné-Huck, C. (2022) · Ecological Economics · doi:10.1016/j.ecolecon.2022.107702 · Cited by 21
Thom, D. (2023) · Forestry An International Journal of Forest Research · doi:10.1093/forestry/cpad011 · Cited by 21
Self-citationWang, L., Wei, F., & Svenning, J. (2023) · iScience · doi:10.1016/j.isci.2023.106450 · Cited by 23
(IPCC), I. P. O. C. C. (2023) · Cambridge University Press eBooks · doi:10.1017/9781009325844.024 · Cited by 43
Contributions of Intraspecific Variation to Drought Tolerance in Trees
Gazol, A., Fajardo, A., & Camarero, J. J. (2023) · Current Forestry Reports · doi:10.1007/s40725-023-00199-w · Cited by 22
Bonannella, C., Parente, L., de Bruin, S., & Herold, M. (2023) · Forest Ecology and Management · doi:10.1016/j.foreco.2023.121652 · Cited by 21
Paligi, S. S., Lichter, J., Kotowska, M. M., Schwutke, R. L., Audisio, M., Mrak, K., Penanhoat, A., Schuldt, B., Hertel, D., & Leuschner, C. (2024) · Tree Physiology · doi:10.1093/treephys/tpae044 · Cited by 21
Ibanez, T. T., Bauman, D., Aiba, S., Arsouze, T., Bellingham, P. J., Birkinshaw, C., Birnbaum, P., Curran, T. J., DeWalt, S. J., Dwyer, J. M., et al. (2024) · Global Change Biology · doi:10.1111/gcb.17317 · Cited by 21
Blattert, C., Mutterer, S., Thrippleton, T., Diaci, J., Fidej, G., Bont, L., & Schweier, J. (2024) · Ecological Indicators · doi:10.1016/j.ecolind.2024.112154 · Cited by 21
Marangon, D., Betetto, C., Wohlgemuth, T., Cadez, L., Alberti, G., Tomelleri, E., & Lingua, E. (2024) · Forest Ecology and Management · doi:10.1016/j.foreco.2024.122085 · Cited by 21
Characteristics of Old-Growth and Secondary Forests in Relation to Age and Typhoon Disturbance
Lin, S.-Y., Shaner, P. L., & Lin, T. (2018) · Ecosystems · doi:10.1007/s10021-018-0238-0 · Cited by 21
Nesmith, J. C. B., Wright, M., Jules, E. S., & McKinney, S. T. (2019) · Forests · doi:10.3390/f10010035 · Cited by 21
Friedrich, S., Paul, C., Brandl, S., Biber, P., Messerer, K., & Knoke, T. (2019) · Forest Policy and Economics · doi:10.1016/j.forpol.2019.04.003 · Cited by 24
Heppelmann, J. B., Labelle, E. R., Wittkopf, S., & Seeling, U. (2019) · European Journal of Forest Research · doi:10.1007/s10342-019-01225-y · Cited by 21
Nunes, L. J. R., Raposo, M. A. M., Meireles, C. I. R., Pinto-Gomes, C. J., & Ribeiro, N. (2020) · Environments · doi:10.3390/environments7080057 · Cited by 25
Song, W., Mu, C., Zhang, Y., Zhang, X., Li, Z., Zhao, H., & Wang, X. (2020) · Dendrochronologia · doi:10.1016/j.dendro.2020.125761 · Cited by 21
Šimůnek, V., Vacek, Z., Vacek, S., Ripullone, F., Hájek, V., & D’Andrea, G. (2021) · Forests · doi:10.3390/f12030259 · Cited by 21
Drought, fire and grazing precursors to large‐scale pine forest decline
Connor, S., Araújo, J., Boski, T., Gomes, A., Gomes, S. D., Leira, M., Freitas, M. C., Andrade, C., Morales‐Molino, C., Múgica, F. F., et al. (2021) · Diversity and Distributions · doi:10.1111/ddi.13261 · Cited by 25
Mountain forest management in a changing world
Lexer, M. J., & Bugmann, H. K. M. (2017) · European Journal of Forest Research · doi:10.1007/s10342-017-1082-z · Cited by 21
Self-citationA Review of Potential Innovation Pathways to Enhance Resilience in Wood-Based Value Chains
Hoeben, A. D., Stern, T., & Lloret, F. (2023) · Current Forestry Reports · doi:10.1007/s40725-023-00191-4 · Cited by 20
Lapin, K., Hoffmann, J., Braun, M., & Oettel, J. (2024) · Conservation Science and Practice · doi:10.1111/csp2.13161 · Cited by 20
Leroy, B. M. L. (2024) · Current Forestry Reports · doi:10.1007/s40725-024-00239-z · Cited by 20
From smoke to fire: A forest fire early warning and risk assessment model fusing multimodal data
Jin, P., Cheng, P., Liu, X., & Huang, Y. J. (2025) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2025.110848 · Cited by 20
Forster, E. J., Styles, D., & Healey, J. R. (2025) · Nature Communications · doi:10.1038/s41467-025-58463-5 · Cited by 21
Inconsistent recognition of uncertainty in studies of climate change impacts on forests
Petr, M., Vacchiano, G., Thom, D., Mairota, P., Kautz, M., Gonçalves, L. M. S., Yousefpour, R., Kaloudis, S., & Reyer, C. (2019) · Environmental Research Letters · doi:10.1088/1748-9326/ab4670 · Cited by 20
Self-citationCarnell, P. E., & Keough, M. J. (2020) · Scientific Reports · doi:10.1038/s41598-020-67962-y · Cited by 20
Krišāns, O., Matisons, R., Kitenberga, M., Donis, J., Rust, S., Elferts, D., & Jansons, Ā. (2020) · Forests · doi:10.3390/f12010021 · Cited by 20
Post-harvest forest herb layer demography: General patterns are driven by pre-disturbance conditions
Kermavnar, J., Eler, K., Marinšek, A., & Kutnar, L. (2021) · Forest Ecology and Management · doi:10.1016/j.foreco.2021.119121 · Cited by 20
Pettit, J. L., Pettit, J. M., Janda, P., Rydval, M., Čada, V., Schurman, J. S., Нагель, Т. А., Bače, R., Saulnier, M., Hofmeister, J., et al. (2021) · Journal of Geophysical Research Atmospheres · doi:10.1029/2020jd033929 · Cited by 20
Self-citationOrganic soil carbon in Austria – Status quo and foreseeable trends
Baumgarten, A., Haslmayr, H.-P., Schwarz, M., Huber, S., Weiss, P., Obersteiner, E., Aust, G., Englisch, M., Horvath, D., Leitgeb, E., et al. (2021) · Geoderma · doi:10.1016/j.geoderma.2021.115214 · Cited by 22
Climate Variability May Delay Post-Fire Recovery of Boreal Forest in Southern Siberia, Russia
Sun, Q., Burrell, A. L., Barrett, K., Александровна, К. Е., Buryak, L. V., Kaduk, J., & Baxter, R. (2021) · Remote Sensing · doi:10.3390/rs13122247 · Cited by 20
Boyd, M. A., Berner, L. T., Foster, A. C., Goetz, S. J., Rogers, B. M., Walker, X. J., & Mack, M. C. (2021) · Ecosphere · doi:10.1002/ecs2.3569 · Cited by 19
Venice, F., Vizzini, A., Frascella, A., Emiliani, G., Danti, R., Rocca, G. D., & Mello, A. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.149582 · Cited by 20
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
Redefining climate change maladaptation using a values‐based approach in forests
Findlater, K., Hagerman, S., Kozak, R. A., & Gukova, V. (2021) · People and Nature · doi:10.1002/pan3.10278 · Cited by 20
Kjønaas, O. J., Bárcena, T. G., Hylén, G., Nordbakken, J., & Økland, T. (2021) · Ecosphere · doi:10.1002/ecs2.3826 · Cited by 22
Zhao, J., Wang, L., Hou, X., Li, G., Tian, Q., Eme, C., Ciais, P., Yu, Q., & Yue, C. (2021) · Journal of Geophysical Research Atmospheres · doi:10.1029/2021jd035589 · Cited by 20
Climate warming may weaken stabilizing mechanisms in old forests
Germain, S. J., & Lutz, J. A. (2022) · Ecological Monographs · doi:10.1002/ecm.1508 · Cited by 20
Stubenrauch, J., Garske, B., Ekardt, F., & Hagemann, K. (2022) · Sustainability · doi:10.3390/su14074365 · Cited by 23
Rishmawi, K., Huang, C., Schleeweis, K. G., & Zhan, X. (2022) · Remote Sensing · doi:10.3390/rs14102320 · Cited by 20
González, M. E., Galleguillos, M., Lopatin, J., Leal, C., Becerra-Rodas, C., Lara, A., & Martín, J. S. (2022) · Oryx · doi:10.1017/s0030605322000102 · Cited by 20
Aygün, O., Kinnard, C., Campeau, S., & Pomeroy, J. W. (2022) · Journal of Hydrology · doi:10.1016/j.jhydrol.2022.128595 · Cited by 20
Advances in Forest Management Research in the Context of Carbon Neutrality: A Bibliometric Analysis
Zhang, Y., Fei, X., Liu, F., Chen, J., You, X., Huang, S., Wang, M., & Dong, J. (2022) · Forests · doi:10.3390/f13111810 · Cited by 19
Andrus, R. A., Droske, C. A., Franz, M. C., Hudak, A. T., Lentile, L. B., Lewis, S. A., Morgan, P., Robichaud, P. R., & Meddens, A. J. H. (2022) · Fire Ecology · doi:10.1186/s42408-022-00153-4 · Cited by 20
Black spruce (Picea mariana) seed availability and viability in boreal forests after large wildfires
Reid, K. A., Day, N. J., Alfaro‐Sánchez, R., Johnstone, J. F., Cumming, S. G., Mack, M. C., Turetsky, M. R., Walker, X. J., & Baltzer, J. L. (2023) · Annals of Forest Science · doi:10.1186/s13595-022-01166-4 · Cited by 20
Tresch, S., Roth, T., Schindler, C., Hopf, S.-E., Remund, J., & Braun, S. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.164223 · Cited by 20
Avian nutritional condition increases with forest structural complexity
Catfolis, B., Vanroy, T., Verheyen, K., Baeten, L., Martel, A., Pasmans, F., Strubbe, D., & Lens, L. (2023) · Ecological Indicators · doi:10.1016/j.ecolind.2023.110536 · Cited by 19
Climate predicts wildland fire extent across China
Shabbir, A. H., Ji, J., Groninger, J. W., Gueye, G. N., Knouft, J. H., van Etten, E. J. B., & Zhang, J. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.164987 · Cited by 20
Forest fire in Thailand: Spatio-temporal distribution and future risk assessment
Talukdar, N. R., Ahmad, F., Goparaju, L., Choudhury, P., Qayum, A., & Rizvi, J. (2023) · Natural Hazards Research · doi:10.1016/j.nhres.2023.09.002 · Cited by 23
The anthropogenic imprint on temperate and boreal forest demography and carbon turnover
Pugh, T. A. M., Seidl, R., Liu, D., Lindeskog, M., Chini, L. P., & Senf, C. (2023) · Global Ecology and Biogeography · doi:10.1111/geb.13773 · Cited by 20
Self-citationPapa, C. C., DeLyser, K., Clay, K., Gadoth-Goodman, D., Cooper, L. T., Kurz, W. A., Magnan, M., & Ontl, T. (2023) · Frontiers in Forests and Global Change · doi:10.3389/ffgc.2023.1259010 · Cited by 20
Maroschek, M., Seidl, R., Poschlod, B., & Senf, C. (2023) · Journal of Biogeography · doi:10.1111/jbi.14760 · Cited by 20
Self-citationMontagnoli, A., Lasserre, B., Sferra, G., Chiatante, D., Scippa, G. S., Terzaghi, M., & Dumroese, R. K. (2020) · Plants · doi:10.3390/plants9020181 · Cited by 20
Forecasting for intended consequences
Mozelewski, T. G., & Scheller, R. M. (2021) · Conservation Science and Practice · doi:10.1111/csp2.370 · Cited by 20
Pellegrini, A. F. A., Hein, A. M., Cavender-Bares, J. M., Montgomery, R., Staver, A. C., Silla, F., Hobbie, S. E., & Reich, P. B. (2021) · Ecology Letters · doi:10.1111/ele.13719 · Cited by 20
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
Archambeau, J., Garzón, M. B., Barraquand, F., de Miguel, M., Plomion, C., & González‐Martínez, S. C. (2022) · The American Naturalist · doi:10.1086/720619 · Cited by 20
Karan, S. K., & Hamelin, L. (2020) · doi:10.1016/j.rser.2020.110350 · Cited by 20
Smart forestry – a forestry 4.0 approach to intelligent and fully integrated timber harvesting
Hoppen, M., Chen, J., Kemmerer, J., Baier, S., Bektas, A. R., Schreiber, L., Mayer, D., Kaulen, A., Ziesak, M., & Roßmann, J. (2024) · International Journal of Forest Engineering · doi:10.1080/14942119.2024.2323238 · Cited by 19
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
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
Fire weather compromises forestation-reliant climate mitigation pathways
Jäger, F., Schwaab, J., Quilcaille, Y., Windisch, M. G., Doelman, J., Frank, S., Gusti, M. I., Havlík, P., Humpenöder, F., Augustynczik, A. L. D., et al. (2024) · Earth System Dynamics · doi:10.5194/esd-15-1055-2024 · Cited by 19
Spatial heterogeneity of tree-growth responses to climate across temperate forests in Northeast Asia
Altmanová, N., Fibich, P., Doležal, J., Bažant, V., Černý, T., Molina, J. G. A., Enoki, T., Hara, T., Hoshizaki, K., Ida, H., et al. (2024) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2024.110355 · Cited by 19
Self-citationModeling 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
Hussain, A., Classens, G., Guevara‐Rozo, S., Cale, J. A., Rajabzadeh, R., Peters, B., & Erbilgin, N. (2019) · Environmental and Experimental Botany · doi:10.1016/j.envexpbot.2019.103902 · Cited by 22
Lara, C., Martínez-Bolaños, E. A., López‐Vázquez, K., Díaz‐Castelazo, C., Castillo‐Guevara, C., & Cuautle, M. (2020) · Entomological Science · doi:10.1111/ens.12407 · Cited by 19
Localization of (+)-Catechin in Picea abies Phloem: Responses to Wounding and Fungal Inoculation
Jyske, T. M., Kuroda, K., Keriö, S., Pranovich, A. V., Linnakoski, R., Hayashi, N., Aoki, D., & Fukushima, K. (2020) · Molecules · doi:10.3390/molecules25122952 · Cited by 19
Estimating Wind Damage in Forested Areas Due to Tornadoes
Mansour, M. A., Rhee, D. M., Newson, T., Peterson, C. J., & Lombardo, F. T. (2020) · Forests · doi:10.3390/f12010017 · Cited by 19
Sallmannshofer, M., Chakraborty, D., Vacik, H., Illés, G. Z., Löw, M., Rechenmacher, A., Lapin, K., Ette, J.-S., Stojanović, D. B., Kobler, A., et al. (2021) · Forests · doi:10.3390/f12030330 · Cited by 20
Gnanamoorthy, P., Song, Q., Zhao, J., Zhang, Y., Liu, Y., Zhou, W., Sha, L., Fan, Z., & Burman, P. K. D. (2021) · Global Change Biology · doi:10.1111/gcb.15885 · Cited by 19
Mkaouar, A., Kallel, A., Rabah, Z. B., & Chahed, T. S. (2021) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2021.3120521 · Cited by 19
de Groot, M., Schueler, S., Sallmannshofer, M., Virgillito, C., Kovacs, G., Cech, T. L., Božič, G., Damjanić, R., Ogris, ̧., Hoch, G., et al. (2022) · Forest Ecology and Management · doi:10.1016/j.foreco.2022.120041 · Cited by 19
Qin, Q., Yin, W., Cong, Q., Zheng, D., & Liu, Y. (2022) · CATENA · doi:10.1016/j.catena.2022.106290 · Cited by 19
Danni da vento amplificano un attacco incipiente di bostrico dell’abete rosso nelle Alpi Meridionali
Nardi, D., Finozzi, V., & Battisti, A. (2022) · L’Italia forestale e montana · doi:10.36253/ifm-1617 · Cited by 19
Zeidler, A., Vacek, Z., Cukor, J., Borůvka, V., Vacek, S., Prokůpková, A., Linda, R., & Vacek, O. (2022) · Forest Ecology and Management · doi:10.1016/j.foreco.2022.120257 · Cited by 20
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
Zhang, L., Lu, X., Zhu, H.-Z., Gao, S., Sun, J., Zhu, H., Fang, J.-P., Camarero, J. J., & Liang, E. (2023) · Acta Botanica Yunnanica · doi:10.1016/j.pld.2023.03.002 · Cited by 19
Mouret, F., Morin, D., Martin, H., Planells, M., & Vincent-Barbaroux, C. (2023) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2023.3332420 · Cited by 20
Lanfredi, M., Coluzzi, R., Imbrenda, V., Носова, Б., Giacalone, M., Turco, R., Prokopová, M., & Salvati, L. (2023) · Land · doi:10.3390/land12051001 · Cited by 20
Lindman, L., Ranius, T., & Schroeder, M. L. (2023) · Forest Ecology and Management · doi:10.1016/j.foreco.2023.121216 · Cited by 19
Giants of the Amazon: How does environmental variation drive the diversity patterns of large trees?
de Lima, R. B., Görgens, E. B., da Silva, D. A. S., de Oliveira, C. P., Batista, A. P. B., Ferreira, R. L. C., Costa, F. R. C., de Lima, R. A. F., Aparício, P. D. S., de Abreu, J. C., et al. (2023) · Global Change Biology · doi:10.1111/gcb.16821 · Cited by 19
Pereira, D. G. C., Portugal, A. F., Giustolin, T. A., Maia, V. M., Megda, M. X. V., & Kondo, M. K. (2023) · CATENA · doi:10.1016/j.catena.2023.107345 · Cited by 23
On the limited consensus of mountain pine beetle impacts on wildfire
Romualdi, D. C., WILKINSON, S., & James, P. M. A. (2023) · Landscape Ecology · doi:10.1007/s10980-023-01720-z · Cited by 19
Carbon density and sequestration in the temperate forests of northern Patagonia, Argentina
Loguercio, G. A., Simon, A., Winter, A. N., Ivancich, H., Reiter, E. J., Caselli, M., Heinzle, F. G., Leuschner, C., & Walentowski, H. (2024) · Frontiers in Forests and Global Change · doi:10.3389/ffgc.2024.1373187 · Cited by 19
Gschwantner, T., Riedel, T., Henning, L., Adame, P., Adolt, R., Aguirre, A., Alberdi, I., Avitabile, V., Cañellas, I., Cosmo, L. D., et al. (2024) · Forest Ecology and Management · doi:10.1016/j.foreco.2024.121913 · Cited by 19
Bauwhede, R. V. D., Troonbeeckx, J., Serbest, I., Moens, C., Desie, E., Katzensteiner, K., Vancampenhout, K., Smolders, E., & Muys, B. (2024) · Forest Ecology and Management · doi:10.1016/j.foreco.2024.122109 · Cited by 19
Monitoring, Assessment and Management of Forest Insect Pests and Diseases
Choi, W. I., & Park, Y. (2019) · Forests · doi:10.3390/f10100865 · Cited by 19
Zhu, X., He, H. S., Zhang, S., Dijak, W. D., & Fu, Y. (2019) · Forests · doi:10.3390/f10121071 · Cited by 19
Deadwood stocks in south-western European forests: Ecological patterns and large scale assessments
Alberdi, I., Moreno‐Fernández, D., Cañellas, I., Adame, P., & Hernández, L. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.141237 · Cited by 19
Šramel, N., Kavčič, A., Kolšek, M., & de Groot, M. (2021) · Journal of Applied Entomology · doi:10.1111/jen.12853 · Cited by 19
Varo-Martínez, M. Á., & Navarro-Cerrillo, R. M. (2021) · Remote Sensing · doi:10.3390/rs13030436 · Cited by 20
Eisenring, M., Best, R. J., Zierden, M. R., Cooper, H. F., Norstrem, M. A., Whitham, T. G., Grady, K. C., Allan, G. J., & Lindroth, R. L. (2022) · Global Change Biology · doi:10.1111/gcb.16275 · Cited by 19
Muys, B. (2020) · Encyclopedia of the UN sustainable development goals · doi:10.1007/978-3-319-95981-8_129 · Cited by 19
Metadata
- Authors
- Seidl, R., Thom, D., Kautz, M., Martin-Benito, D., Peltoniemi, M., Vacchiano, G., Wild, J., Ascoli, D., Petr, M., Honkaniemi, J., Lexer, M. J., Trotsiuk, V., Mairota, P., Svoboda, M., Fabrika, M., Nagel, T. A., & Reyer, C. P. O.
- Affiliations
- BOKU University (AT)
- Karlsruhe Institute of Technology (DE)
- Natural Resources Institute Finland (FI)
- University of Turin (IT)
- Czech Academy of Sciences (CZ)
- University of Naples Federico II (IT)
- Forestry Commission England (GB)
- Czech University of Life Sciences Prague (CZ)
- University of Bari Aldo Moro (IT)
- Technická univerzita vo Zvolene (SK)
- University of Ljubljana (SI)
- Potsdam Institute for Climate Impact Research (DE)
- Corresponding author
- Seidl, Rupert
- ORCID
- Venue
- Nature Climate Change
- Published
- 2017-05-31
- Volume
- 7
- Issue
- 6
- Pages
- 395-402
- ISSN
- 1758-678X (ISSN-L)
- 1758-6798
- PMC
- PMC5572641
- OpenAlex
- W2618708155
- Cited by
- 2,878
- References
- 101
- Citations by year
- 2026: 459 · 2025: 410 · 2024: 380 · 2023: 379 · 2022: 335 · 2021: 350 · 2020: 281 · 2019: 174 · 2018: 88 · 2017: 21
- FWCI
- 106.91
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Climate Change (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, other-oa)
- Institutional Research Information System University of Turin (University of Turin) (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- ASEP (submittedVersion, public-domain)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion)
- Jukuri (Natural Resources Institute Finland (Luke)) (submittedVersion)
- Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK)) (submittedVersion)
- CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro) (submittedVersion, other-oa)
- Funders
- Grantová Agentura České Republiky (RVO 67,985,939)
- Bundesministerium für Bildung und Forschung (01LS1201A1)
- Austrian Science Fund
- Akademie Věd České Republiky (RVO [67985939], 67985939)
- Natural Environment Research Council (NE/M008541/1)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
- Physical Sciences › Environmental Science › Global and Planetary Change › Plant Water Relations and Carbon Dynamics
- Physical Sciences › Environmental Science › Ecology › Forest Insect Ecology and Management
- Keywords
- forest disturbance, climate change, forest fires, drought, wind disturbance, forest insects, forest pathogens, disturbance interactions, feedback, coniferous forest, boreal forest, vegetation change, disturbance sensitivity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review