Will forest dynamics continue to accelerate throughout the 21st century in the Northern Alps?

disturbance forest change forest development forest structure iLand scenario uncertainty tree species composition

Journal

Global change biology
ISSN: 1365-2486
Titre abrégé: Glob Chang Biol
Pays: England
ID NLM: 9888746

Informations de publication

Date de publication:
05 2022
Historique:
received: 03 12 2021
accepted: 09 02 2022
pubmed: 17 2 2022
medline: 16 4 2022
entrez: 16 2 2022
Statut: ppublish

Résumé

Observational evidence suggests that forests in the Northern Alps are changing at an increasing rate as a consequence of climate change. Yet, it remains unclear whether the acceleration of forest change will continue in the future, or whether downregulating feedbacks will eventually decouple forest dynamics from climate change. Here we studied future forest dynamics at Berchtesgaden National Park, Germany by means of a process-based forest landscape model, simulating an ensemble of 22 climate projections until the end of the 21st century. Our objectives were (i) to assess whether the observed acceleration of forest dynamics will continue in the future, (ii) to analyze how uncertainty in future climate translates to variation in future forest disturbance, structure, and composition, and (iii) to determine the main drivers of future forest dynamics. We found that forest dynamics continue to accelerate in the coming decades, with a trend towards denser, structurally more complex and more species rich forests. However, changes in forest structure leveled off in the second half of the 21st century regardless of climate scenario. In contrast, climate scenarios caused trajectories of tree species change to diverge in the second half of the 21st century, with stabilization under RCP 2.6 and RCP 4.5 scenarios and accelerated loss of conifers under RCP 8.5. Disturbance projections were 3 to 20 times more variable than future climate, whereas projected future forest structure and composition varied considerably less than climate. Indirect effects of climate change via alterations of the disturbance regime had a stronger impact on future forest dynamics than direct effects. Our findings suggest that dampening feedbacks within forest dynamics will decelerate forest change in the second half of the 21st century. However, warming beyond the levels projected under RCP 4.5 might profoundly alter future forest disturbance and composition, challenging conservation efforts and ecosystem service supply.

Identifiants

pubmed: 35170829
doi: 10.1111/gcb.16133
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3260-3274

Informations de copyright

© 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd.

Références

Albrich, K., Rammer, W., & Seidl, R. (2020). Climate change causes critical transitions and irreversible alterations of mountain forests. Global Change Biology, 26(7), 4013-4027. https://doi.org/10.1111/gcb.15118
Albrich, K., Rammer, W., Thom, D., & Seidl, R. (2018). Trade-offs between temporal stability and level of forest ecosystem services provisioning under climate change. Ecological Applications, 28(7), 1884-1896. https://doi.org/10.1002/eap.1785
Allen, C. D., & Breshears, D. D. (1998). Drought-induced shift of a forest - woodland ecotone. PNAS, 95, 14839-14842.
Bagozzi, R. P., & Yi, Y. (2012). Specification, evaluation, and interpretation of structural equation models. Journal of the Academy of Marketing Science, 40(1), 8-34. https://doi.org/10.1007/s11747-011-0278-x
Bässler, C., Hothorn, T., Brandl, R., & Müller, J. (2013). Insects overshoot the expected upslope shift caused by climate warming. PLoS One, 8(6), e65842. https://doi.org/10.1371/journal.pone.0065842
Bauhus, J., Puettmann, K., & Messier, C. (2009). Silviculture for old-growth attributes. Forest Ecology and Management, 258(4), 525-537. https://doi.org/10.1016/j.foreco.2009.01.053
Bivand, R., Keitt, T., & Rowlingson, B. (2018). Package “rgdal.”
Bradford, J. B., Jensen, N. R., Domke, G. M., & D’Amato, A. W. (2013). Potential increases in natural disturbance rates could offset forest management impacts on ecosystem carbon stocks. Forest Ecology and Management, 308, 178-187. https://doi.org/10.1016/j.foreco.2013.07.042
Brice, M. H., Vissault, S., Vieira, W., Gravel, D., Legendre, P., & Fortin, M. J. (2020). Moderate disturbances accelerate forest transition dynamics under climate change in the temperate-boreal ecotone of eastern North America. Global Change Biology, 26(8), 4418-4435. https://doi.org/10.1111/gcb.15143
Büntgen, U., Urban, O., Krusic, P. J., Rybníček, M., Kolář, T., Kyncl, T., Ač, A., Koňasová, E., Čáslavský, J., Esper, J., Wagner, S., Saurer, M., Tegel, W., Dobrovolný, P., Cherubini, P., Reinig, F., & Trnka, M. (2021). Recent European drought extremes beyond Common Era background variability. Nature Geoscience, 14(4), 190-196. https://doi.org/10.1038/s41561-021-00698-0
Buras, A., Rammig, A., & Zang, C. S. (2020). Quantifying impacts of the 2018 drought on European ecosystems in comparison to 2003. Biogeosciences, 17(6), 1655-1672. https://doi.org/10.5194/bg-17-1655-2020
Čada, V., Morrissey, R. C., Michalová, Z., Bače, R., Janda, P., & Svoboda, M. (2016). Frequent severe natural disturbances and non-equilibrium landscape dynamics shaped the mountain spruce forest in central Europe. Forest Ecology and Management, 363, 169-178. https://doi.org/10.1016/j.foreco.2015.12.023
Clavel, J., Julliard, R., & Devictor, V. (2011). Worldwide decline of specialist species: Toward a global functional homogenization? Frontiers in Ecology and the Environment, 9(4), 222-228. https://doi.org/10.1890/080216
Dawson, T. P., Jackson, S. T., House, J. I., Prentice, I. C., & Mace, G. M. (2011). Beyond predictions: Biodiversity conservation in a changing climate. Science, 332(6025), 53-58. https://doi.org/10.1126/science.1200303
Descombes, P., Pitteloud, C., Glauser, G., Defossez, E., Kergunteuil, A., Allard, P. M., Rasmann, S., & Pellissier, L. (2020). Novel trophic interactions under climate change promote alpine plant coexistence. Science, 370(6523), 1469-1473. https://doi.org/10.1126/science.abd7015
Dietz, L., Collet, C., Eric, J. D., Lisa, L., Gégout, J., & Lorraine, U. D. (2020). Windstorm-induced canopy openings accelerate temperate forest adaptation to global warming. Global Ecology and Biogeography, 1-11, https://doi.org/10.1111/geb.13177
Duveneck, M. J., Thompson, J. R., Gustafson, E. J., Liang, Y., & de Bruijn, A. M. G. (2017). Recovery dynamics and climate change effects to future New England forests. Landscape Ecology, 32(7), 1385-1397. https://doi.org/10.1007/s10980-016-0415-5
Elkin, C., Gutiérrez, A. G., Leuzinger, S., Manusch, C., Temperli, C., Rasche, L., & Bugmann, H. (2013). A 2 °C warmer world is not safe for ecosystem services in the European Alps. Global Change Biology, 19(6), 1827-1840. https://doi.org/10.1111/gcb.12156
Fan, Y., Chen, J., Shirkey, G., John, R., Wu, S. R., Park, H., & Shao, C. (2016). Applications of structural equation modeling (SEM) in ecological studies: an updated review. Ecological Processes, 5(1), 19. https://doi.org/10.1186/s13717-016-0063-3
Forzieri, G., Girardello, M., Ceccherini, G., Spinoni, J., Feyen, L., Hartmann, H., Beck, P. S. A., Camps-Valls, G., Chirici, G., Mauri, A., & Cescatti, A. (2021). Emergent vulnerability to climate-driven disturbances in European forests. Nature Communications, 12(1), 1-12. https://doi.org/10.1038/s41467-021-21399-7
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., Bible, K., & Chen, J. (2002). Disturbances and structural development of natural forest ecosystems with silvicultural implications, using Douglas-fir forests as an example. Forest Ecology and Management, 155(1-3), 399-423. https://doi.org/10.1016/S0378-1127(01)00575-8
Giorgi, F. (2019). Thirty years of regional climate modeling: Where are we and where are we going next? Journal of Geophysical Research: Atmospheres, 124(11), 2018JD030094. https://doi.org/10.1029/2018JD030094
Grace, J. B., Scheiner, S. M., & Schoolmaster, D. R. Jr (2015). Structural equation modeling. Ecological Statistics (pp. 168-199). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199672547.003.0009
Grime, J. P. (1998). Benefits of plant diversity to ecosystems: immediate, filter and founder effects. Journal of Ecology, 86(6), 902-910. https://doi.org/10.1046/j.1365-2745.1998.00306.x
Grimm, V., Revilla, E., Berger, U., Jeltsch, F., Mooij, W. M., Railsback, S. F., Thulke, H. H., Weiner, J., Wiegand, T., & DeAngelis, D. L. (2005). Pattern-oriented modeling of agent-based complex systems: Lessons from ecology. Science, 310(5750), 987-991. https://doi.org/10.1126/science.1116681
Halpin, C. R., & Lorimer, C. G. (2016). Trajectories and resilience of stand structure in response to variable disturbance severities in northern hardwoods. Forest Ecology and Management, 365, 69-82. https://doi.org/10.1016/j.foreco.2016.01.016
Hansen, A. J., Neilson, R. P., Dale, V. H., Flather, C. H., Iverson, L. R., Currie, D. J., Shafer, S., Cook, R., & Bartlein, P. J. (2001). Global change in forests: Responses of species, communities, and biomes. BioScience, 51(9), 765-779.
Hayhoe, K., Edmonds, J., Kopp, R. E., LeGrande, A. N., Sanderson, B. M., Wehner, M. F., & Wuebbles, D. J. (2017). Ch. 4: Climate Models, Scenarios, and Projections. Climate Science Special Report: Fourth National Climate Assessment, Volume I. https://doi.org/https://doi.org/10.7930/J0WH2N54
Henne, P. D., Elkin, C. M., Reineking, B., Bugmann, H., & Tinner, W. (2011). Did soil development limit spruce (Picea abies) expansion in the Central Alps during the Holocene? Testing a palaeobotanical hypothesis with a dynamic landscape model. Journal of Biogeography, 38(5), 933-949. https://doi.org/10.1111/j.1365-2699.2010.02460.x
Hijmans, R. J., van Etten, J., Sumner, M., Cheng, J., Baston, D., Bevan, A., Bivand, R., Busetto, L., Canty, M., Fasoli, B., Davi, J. G., Greenberg, J. A., Hiemstra, P., Hingee, K., Karney, C., Mattiuzzi, M., Mosher, S., Naimi, B., Nowosad, J., Wueest, R. (2021). Package “raster.”
Hilmers, T., Friess, N., Bässler, C., Heurich, M., Brandl, R., Pretzsch, H., Seidl, R., & Müller, J. (2018). Biodiversity along temperate forest succession. Journal of Applied Ecology, 55(6), 2756-2766. https://doi.org/10.1111/1365-2664.13238
Holling, C. S. (2001). Understanding the complexity of economic, ecological, and social systems. Ecosystems, 4(5), 390-405. https://doi.org/10.1007/s10021-00-0101-5
Honkaniemi, J., Rammer, W., & Seidl, R. (2020). Norway spruce at the trailing edge: The effect of landscape configuration and composition on climate resilience. Landscape Ecology, 35(3), 591-606. https://doi.org/10.1007/s10980-019-00964-y
Huber, N., Bugmann, H., Cailleret, M., Bircher, N., & Lafond, V. (2021). Stand-scale climate change impacts on forests over large areas: Transient responses and projection uncertainties. Ecological Applications, 31(4), 1-19. https://doi.org/10.1002/eap.2313
Kalliokoski, T., Mäkelä, A., Fronzek, S., Minunno, F., & Peltoniemi, M. (2018). Decomposing sources of uncertainty in climate change projections of boreal forest primary production. Agricultural and Forest Meteorology, 262, 192-205. https://doi.org/10.1016/j.agrformet.2018.06.030
Kattge, J., Bönisch, G., Díaz, S., Lavorel, S., Prentice, I. C., Leadley, P., Tautenhahn, S., Werner, G. D. A., Aakala, T., Abedi, M., Acosta, A. T. R., Adamidis, G. C., Adamson, K., Aiba, M., Albert, C. H., Alcántara, J. M., Alcázar C, C., Aleixo, I., Ali, H., … Wirth, C. (2020). TRY plant trait database - enhanced coverage and open access. Global Change Biology, 26(1), 119-188. https://doi.org/10.1111/gcb.14904
Kruhlov, I., Thom, D., Chaskovskyy, O., Keeton, W. S., & Scheller, R. M. (2018). Future forest landscapes of the Carpathians: vegetation and carbon dynamics under climate change. Regional Environmental Change, 18(5), 1555-1567. https://doi.org/10.1007/s10113-018-1296-8
Laux, P., Rötter, R. P., Webber, H., Dieng, D., Rahimi, J., Wei, J., Faye, B., Srivastava, A. K., Bliefernicht, J., Adeyeri, O., Arnault, J., & Kunstmann, H. (2021). To bias correct or not to bias correct? An agricultural impact modelers’ perspective on regional climate model data. Agricultural and Forest Meteorology, 304-305, 108406. https://doi.org/10.1016/j.agrformet.2021.108406
Lenoir, J., Gégout, J. C., Marquet, P. A., De Ruffray, P., & Brisse, H. (2008). A significant upward shift in plant species optimum elevation during the 20th century. Science, 320(5884), 1768-1771. https://doi.org/10.1126/science.1156831
Manusch, C., Bugmann, H., & Wolf, A. (2014). The impact of climate change and its uncertainty on carbon storage in Switzerland. Regional Environmental Change, 14(4), 1437-1450. https://doi.org/10.1007/s10113-014-0586-z
Marini, L., Økland, B., Jönsson, A. M., Bentz, B., Carroll, A., Forster, B., Grégoire, J. C., Hurling, R., Nageleisen, L. M., Netherer, S., Ravn, H. P., Weed, A., & Schroeder, M. (2017). Climate drivers of bark beetle outbreak dynamics in Norway spruce forests. Ecography, 40(12), 1426-1435. https://doi.org/10.1111/ecog.02769
IPCC. (2021). Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (V. Masson-Delmotte, P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J. B. R. Matthews, T. K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, & B. Zhou [Eds.], p. 3949). Cambridge University Press.
Meier, E. S., Lischke, H., Schmatz, D. R., & Zimmermann, N. E. (2012). Climate, competition and connectivity affect future migration and ranges of European trees. Global Ecology and Biogeography, 21(2), 164-178. https://doi.org/10.1111/j.1466-8238.2011.00669.x
Millar, C. I., & Stephenson, N. L. (2015). Temperate forest health in an era of emerging megadisturbance. Science, 349(6250), 823-826. https://doi.org/10.1126/science.aaa9933
Needham, J., Merow, C., Butt, N., Malhi, Y., Marthews, T. R., Morecroft, M., & Mcmahon, S. M. (2016). Forest community response to invasive pathogens: the case of ash dieback in a British woodland. Journal of Ecology, 104(2), 315-330. https://doi.org/10.1111/1365-2745.12545
Netherer, S., Matthews, B., Katzensteiner, K., Blackwell, E., Henschke, P., Hietz, P., Pennerstorfer, J., Rosner, S., Kikuta, S., Schume, H., & Schopf, A. (2015). Do water-limiting conditions predispose Norway spruce to bark beetle attack? New Phytologist, 205(3), 1128-1141. https://doi.org/10.1111/nph.13166
Ospina, R., & Marmolejo-Ramos, F. (2019). Performance of some estimators of relative variability. Frontiers in Applied Mathematics and Statistics, 5. https://doi.org/10.3389/fams.2019.00043
Petr, M., Vacchiano, G., Thom, D., Mairota, P., Kautz, M., Goncalves, L. M. S., Yousefpour, R., Kaloudis, S., & Reyer, C. P. O. (2019). Inconsistent recognition of uncertainty in studies of climate change impacts on forests. Environmental Research Letters, 14(11), https://doi.org/10.1088/1748-9326/ab4670. 113003.
Pugh, T. A. M., Arneth, A., Kautz, M., Poulter, B., & Smith, B. (2019). Important role of forest disturbances in the global biomass turnover and carbon sinks. Nature Geoscience, 12(9), 730-735. https://doi.org/10.1038/s41561-019-0427-2
R Development Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing.
Rammer, W., Braziunas, K. H., Hansen, W. D., Ratajczak, Z., Westerling, A. L., Turner, M. G., & Seidl, R. (2021). Widespread regeneration failure in forests of Greater Yellowstone under scenarios of future climate and fire. Global Change Biology, 27(18), 4339-4351. https://doi.org/10.1111/gcb.15726
Rosseel, Y., Jorgensen, T. D., Rockwood, N., Oberski, D., Byrnes, J., Vanbrabant, L., Savalei, V., Merkle, E., Hallquist, M., Rhemtulla, M., Katsikatsou, M., Barendse, M., Scharf, F., & Du, H. (2021). Package “lavaan” (pp. 1-105).
Seidl, R., & Rammer, W. (2017). Climate change amplifies the interactions between wind and bark beetle disturbances in forest landscapes. Landscape Ecology, 32(7), 1485-1498. https://doi.org/10.1007/s10980-016-0396-4
Seidl, R., Rammer, W., & Blennow, K. (2014). Simulating wind disturbance impacts on forest landscapes: Tree-level heterogeneity matters. Environmental Modelling & Software, 51, 1-11. https://doi.org/10.1016/j.envsoft.2013.09.018
Seidl, R., Rammer, W., & Lexer, M. J. (2009). Schätzung von Bodenmerkmalen und Modellparametern für die Waldökosystemsimulation auf Basis einer Großrauminventur. Allgemeine Forst- Und Jagdzeitung, 180(1-2), 35-44.
Seidl, R., Rammer, W., Scheller, R. M., & Spies, T. A. (2012a). An individual-based process model to simulate landscape-scale forest ecosystem dynamics. Ecological Modelling, 231, 87-100. https://doi.org/10.1016/j.ecolmodel.2012.02.015
Seidl, R., Spies, T. A., Rammer, W., Steel, E. A., Pabst, R. J., & Olsen, K. (2012b). Multi-scale drivers of spatial variation in old-growth forest carbon density disentangled with lidar and an individual-based landscape model. Ecosystems, 15(8), 1321-1335. https://doi.org/10.1007/s10021-012-9587-2
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. (2017). Forest disturbances under climate change. Nature Climate Change, 7(6), 395-402. https://doi.org/10.1038/nclimate3303
Senf, C., Pflugmacher, D., Hostert, P., & Seidl, R. (2017). Using Landsat time series for characterizing forest disturbance dynamics in the coupled human and natural systems of Central Europe. ISPRS Journal of Photogrammetry and Remote Sensing, 130, 453-463. https://doi.org/10.1016/j.isprsjprs.2017.07.004
Senf, C., & Seidl, R. (2018). Natural disturbances are spatially diverse but temporally synchronized across temperate forest landscapes in Europe. Global Change Biology, 24(3), 1201-1211. https://doi.org/10.1111/gcb.13897
Senf, C., & Seidl, R. (2021a). Mapping the forest disturbance regimes of Europe. Nature Sustainability, 4(1), 63-70. https://doi.org/10.1038/s41893-020-00609-y
Senf, C., & Seidl, R. (2021b). Persistent impacts of the 2018 drought on forest disturbance regimes in Europe. Biogeosciences, 18(18), 5223-5230. https://doi.org/10.5194/bg-18-5223-2021
Silva Pedro, M., Rammer, W., & Seidl, R. (2015). Tree species diversity mitigates disturbance impacts on the forest carbon cycle. Oecologia, 177(3), 619-630. https://doi.org/10.1007/s00442-014-3150-0
Smiatek, G., & Kunstmann, H. (2019). Simulating future runoff in a complex terrain alpine catchment with EURO-CORDEX data. Journal of Hydrometeorology, 20(9), 1925-1940. https://doi.org/10.1175/JHM-D-18-0214.1
Snell, R. S., Elkin, C., Kotlarski, S., & Bugmann, H. (2018). Importance of climate uncertainty for projections of forest ecosystem services. Regional Environmental Change, 18(7), 2145-2159. https://doi.org/10.1007/s10113-018-1337-3
Sommerfeld, A., Rammer, W., Heurich, M., Hilmers, T., Müller, J., & Seidl, R. (2021). Do bark beetle outbreaks amplify or dampen future bark beetle disturbances in Central Europe? Journal of Ecology, 109(2), 737-749. https://doi.org/10.1111/1365-2745.13502
Temperli, C., Bugmann, H., & Elkin, C. (2013a). Cross-scale interactions among bark beetles, climate change, and wind disturbances: A landscape modeling approach. Ecological Monographs, 83(3), 383-402. https://doi.org/10.1890/12-1503.1
Temperli, C., Zell, J., Bugmann, H., & Elkin, C. (2013b). Sensitivity of ecosystem goods and services projections of a forest landscape model to initialization data. Landscape Ecology, 28(7), 1337-1352. https://doi.org/10.1007/s10980-013-9882-0
Thom, D., Golivets, M., Edling, L., Meigs, G. W., Gourevitch, J. D., Sonter, L. J., Galford, G. L., & Keeton, W. S. (2019). The climate sensitivity of carbon, timber, and species richness covaries with forest age in boreal-temperate North America. Global Change Biology, 25(7), 2446-2458. https://doi.org/10.1111/gcb.14656
Thom, D., & Keeton, W. S. (2019). Stand structure drives disparities in carbon storage in northern hardwood-conifer forests. Forest Ecology and Management, 442, 10-20. https://doi.org/10.1016/j.foreco.2019.03.053
Thom, D., Rammer, W., Dirnböck, T., Müller, J., Kobler, J., Katzensteiner, K., Helm, N., & Seidl, R. (2017b). The impacts of climate change and disturbance on spatio-temporal trajectories of biodiversity in a temperate forest landscape. Journal of Applied Ecology, 54(1), 28-38. https://doi.org/10.1111/1365-2664.12644
Thom, D., Rammer, W., Garstenauer, R., & Seidl, R. (2018). Legacies of past land use have a stronger effect on forest carbon exchange than future climate change in a temperate forest landscape. Biogeosciences, 15(18), 5699-5713. https://doi.org/10.5194/bg-15-5699-2018
Thom, D., Rammer, W., & Seidl, R. (2017a). The impact of future forest dynamics on climate: Interactive effects of changing vegetation and disturbance regimes. Ecological Monographs, 87(4), 665-684. https://doi.org/10.1002/ecm.1272
Thom, D., & Seidl, R. (2021). Accelerating mountain forest dynamics in the Alps. Ecosystems, https://doi.org/10.1007/s10021-021-00674-0
Thom, D., Seidl, R., Steyrer, G., Krehan, H., & Formayer, H. (2013). Slow and fast drivers of the natural disturbance regime in Central European forest ecosystems. Forest Ecology and Management, 307, 293-302. https://doi.org/10.1016/j.foreco.2013.07.017
Turner, M. G., Braziunas, K. H., Hansen, W. D., Hoecker, T. J., Rammer, W., Ratajczak, Z., Westerling, A. L., & Seidl, R. (2021). The magnitude, direction, and tempo of forest change in Greater Yellowstone in a warmer world with more fire. Ecological Monographs, 92(1). https://doi.org/10.1002/ecm.1485
Vittoz, P., Cherix, D., Gonseth, Y., Lubini, V., Maggini, R., Zbinden, N., & Zumbach, S. (2013). Climate change impacts on biodiversity in Switzerland: A review. Journal for Nature Conservation, 21(3), 154-162. https://doi.org/10.1016/j.jnc.2012.12.002
Vittoz, P., Rulence, B., Largey, T., & Freléchoux, F. (2008). Effects of climate and land-use change on the establishment and growth of cembran pine (Pinus cembra L.) over the altitudinal treeline ecotone in the Central Swiss Alps. Arctic, Antarctic, and Alpine Research, 40(1), 225-232.
Walker, B. H., Carpenter, S. R., Rockstrom, J., Crépin, A.-S., & Peterson, G. D. (2012). Drivers, “slow” variables, “fast” variables, shocks, and resilience. Ecology and Society, 17(3), art30. https://doi.org/10.5751/ES-05063-170330
Warscher, M., Wagner, S., Marke, T., Laux, P., Smiatek, G., Strasser, U., & Kunstmann, H. (2019). A 5 km resolution regional climate simulation for Central Europe: Performance in high mountain areas and seasonal, regional and elevation-dependent variations. Atmosphere, 10(11), 682. https://doi.org/10.3390/atmos10110682
Wermelinger, B. (2004). Ecology and management of the spruce bark beetle Ips typographus-a review of recent research. Forest Ecology and Management, 202(1-3), 67-82. https://doi.org/10.1016/j.foreco.2004.07.018
Wickham, H. (2019a). Package “ggplot2.”
Wickham, H. (2019b). Package “tidyverse” (pp. 1-5).
Wild, J., & Winkler, E. (2008). Krummholz and grassland coexistence above the forest-line in the Krkonoše Mountains: Grid-based model of shrub dynamics. Ecological Modelling, 213(3-4), 293-307. https://doi.org/10.1016/j.ecolmodel.2007.12.013
Wilke, C. O. (2020). Package “cowplot” (pp. 1-44).
Zier, C., Müller, C., Komischke, H., Steinbauer, A., & Bäse, F. (2020). Das Bayerische Klimaprojektionsensemble - Audit und Ensemblebildung. Bayerisches Landesamt Für Umwelt (LfU), 1-52.
Zierl, H. (2009). History of forest and forestry in the Berchtesgaden National Park - from primeval forest via 800 years of forest use to natural forest. Forstliche Forschungsberichte München, 206, 155-162.

Auteurs

Dominik Thom (D)

Ecosystem Dynamics and Forest Management Group, School of Life Sciences, Technical University of Munich, Freising, Germany.
Gund Institute for Environment, University of Vermont, Burlington, Vermont, USA.

Werner Rammer (W)

Ecosystem Dynamics and Forest Management Group, School of Life Sciences, Technical University of Munich, Freising, Germany.

Patrick Laux (P)

Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology (KIT), Campus Alpin, Garmisch-Partenkirchen, Germany.
Institute of Geography, University of Augsburg, Augsburg, Germany.

Gerhard Smiatek (G)

Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology (KIT), Campus Alpin, Garmisch-Partenkirchen, Germany.

Harald Kunstmann (H)

Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology (KIT), Campus Alpin, Garmisch-Partenkirchen, Germany.
Institute of Geography, University of Augsburg, Augsburg, Germany.

Sebastian Seibold (S)

Ecosystem Dynamics and Forest Management Group, School of Life Sciences, Technical University of Munich, Freising, Germany.
Berchtesgaden National Park, Berchtesgaden, Germany.

Rupert Seidl (R)

Ecosystem Dynamics and Forest Management Group, School of Life Sciences, Technical University of Munich, Freising, Germany.
Berchtesgaden National Park, Berchtesgaden, Germany.

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