- Letter to the Editor
Climate change and tree responses in Central European forests
Annals of Forest Science volume 72, pages 285–287 (2015)
Research on climate change effects concerns most ecosystems and species worldwide. There is strong evidence that forests in all parts of the world are affected by changing temperatures and aggravating drought situations (Allen et al. 2010). Marked range shifts of tree species are projected as a consequence of extensive and large climatic changes (Hanewinkel et al. 2013). In this frame, the International Conference on “Climate Change and Tree Responses in Central Europe” held in September 2013 in Zurich, Switzerland, invited research contributions with a special geographical focus on the countries Austria, Czech Republic, France, Germany, Hungary, Italy, Poland, Slovakia, Slovenia, and Switzerland. More than 250 participants attended the conference, and a total of 120 oral papers were presented in the frame of 13 thematic sessions (Table 1). The conference was organized by the Swiss Federal Institute for Forest, Snow and Landscape Research WSL and the Swiss Federal Institute of Technology Zurich ETH (Wohlgemuth and Priewasser 2013). The event aimed at bringing together researchers from different disciplines and with expertise on experiments, long-term survey, and modelling (Table 1).
In this special issue, five contributions are offered and represent the variety of aspects related to climate change effects.
As one effect of climate change, extreme events such as European winter storms may become more frequent or at least more disastrous (Seidl et al. 2014). In this context, Pasztor et al. (2015) used empirical models (generalized linear mixed models) to quantify wind damage in mountain forests of four regions of the Austrian Alps (28,800 ha in total). The probability of wind damage in these forests was best explained by the factors timber stock volume, stand age, elevation, previous disturbances, wind gust speed, and frozen state of soil. Wind damage can be mitigated by decreasing the proportion of Norway spruce (Picea abies), limiting stand age, and reducing timber stock.
Climate warming will result in more frequent drought episodes (IPCC 2013) and hence, drought as a limiting factor will affect species in all life stages. In this respect, Moser et al. (2015) studied the root architecture of Scots pine (Pinus sylvestris) seedlings as well as the colonization rate of root tips by ectomycorrhizal fungi under experimental drought in a common garden experiment. While ectomycorrhizal colonization did not increase under “dry” conditions compared to “wet’ or “seasonally variable” (Mediterranean) moisture conditions, root architecture clearly adapted to dry conditions by an increased root/shoot ratio under dry conditions. Plasticity in root architecture is supposed to be an important mechanism for drought resistance of P. sylvestris during early seedling establishment.
Global warming during the last century or during the last decades has been shown to cause species range shifts in alpine plants (e.g., Walther et al. 2005) or in forest species (e.g., Lenoir et al. 2008). The paper of Küchler et al. (2015) tested forest herbaceous species, shrubs, and trees for possible upward shifts due to recent climate warming in Swiss forests by using two balanced samples of revisited relevé plots with survey intervals of 15 and 60 years, respectively. Since 1950, vascular plant species in the herbaceous forest layer (herbs and tree regeneration) have significantly shifted upslope by 10 m per decade. A similar signal was absent in shrub and tree layers. At lower elevations, species in the shrub/tree layer even shifted downslope, which cannot be explained by climate change effects. Climate change impacts on tree species composition in Swiss forests are weak if compared to factors arising from forest management and land use change.
Species distribution models comprise several techniques referring to species occurrences as baseline data and are most often used to project species range shifts under various climate change scenarios (e.g., Elith et al. 2006). Two applications are presented in this special issue. By means of ensemble distribution models, Vacchiano and Motta (2015) projected the presence of Scots pine (P. sylvestris) and downy oak (Quercus pubescens) in the Aosta valley (Italian Alps) using factors such as climate (scenarios for 2080), topography, soil, competition, natural disturbances, and land use. For all scenarios, Q. pubescens cover increased. In warming scenarios, P. sylvestris experienced an upward displacement that might be mitigated by intensified land use. As an interesting result, the authors question the hypothesis that extreme dry spells trigger shifts in species composition.
In the second application, Gottschalk and Reiners (2015) projected bird species distribution and abundance for Germany by combining scenarios for both climate change and forest conversion (coniferous forests replaced by deciduous forest). While for climate-change-only scenarios, a majority of the 25 modelled bird species not only lost partly considerable percentages of suitable habitats but also shrank in population size. Additional forest conversion amplified (15 species) or weakened (10 species) the predicted climate driven gains and losses of species’ population size.
In the session wrap-ups during the conference, important fields of further investigations were highlighted, e.g., the multi-scale nature of disturbance regimes, the relevance of roots, and root/shoot ratios as indicator of environmental change, the role of biodiversity in tree species mixtures, impacts of phenological change due to climate warming on tree fitness, the definition of thresholds for tree mortality, the cause of drought-induced mortality in tree species, the growing market of dendroclimatology and dendroecology due to increasing global data networks, the capacity of trees to withstand a warmer/dryer climate that exceeds values currently observed, a definition of the most important factors/processes that will change forests due to climate change, the combination of climate change and land use effects in modelling, the incorporation of climate change effects on host quality (trees) and natural enemies of pests in available climatic models, the distinction of important global change drivers behind responses of plants in the forest vegetation, and the provision of simplified syntheses of scientific results for managers.
Birmensdorf (CH), February 2015
Allen CD, Macalady AK, Chenchouni H, Bachelet D, McDowell N, Vennetier M, Kitzberger T, Rigling A, Breshears DD, Hogg EH, Gonzalez P, Fensham R, Zhang Z, Castro J, Demidova N, Lim JH, Allard G, Running SW, Semerci A, Cobb N (2010) A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests. Forest Ecol Manag 259:660–684. doi:10.1016/j.foreco.2009.09.001
Elith J, Graham CH, Anderson RP, Dudik M, Ferrier S, Guisan A, Hijmans RJ, Huettmann F, Leathwick JR, Lehmann A, Li J, Lohmann LG, Loiselle BA, Manion G, Moritz C, Nakamura M, Nakazawa Y, Overton JM, Peterson AT, Phillips SJ, Richardson K, Scachetti-Pereira R, Schapire RE, Soberon J, Williams S, Wisz MS, Zimmermann NE (2006) Novel methods improve prediction of species' distributions from occurrence data. Ecography 29:129–151. doi:10.1111/j.2006.0906-7590.04596.x
Gottschalk TK, Reiners TE (2015) Forest conversion can help to mitigate impacts of climate change on common forest birds. Ann For Sci. doi:10.1007/s13595-014-0455-4
Hanewinkel M, Cullmann DA, Schelhaas MJ, Nabuurs GJ, Zimmermann NE (2013) Climate change may cause severe loss in the economic value of European forest land. Nat Clim Chang 3:203–207. doi:10.1038/nclimate1687
IPCC (2013) Summary for policymakers. In Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (ed) Stocker TF, Qin D, Plattner GK, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midg PM. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA http://www.ipcc.ch/pdf/assessment-report/ar5/wg1/WG1AR5_SPM_FINAL.pdf Assessed 10 March 2015
Küchler M, Küchler H, Bedolla A, Wohlgemuth T (2015) Response of Swiss forests to management and climate change in the last 60 years. Ann For Sci. doi:10.1007/s13595-014-0409-x
Lenoir J, Gégout JC, Marquet PA, De Ruffray P, Brisse H (2008) A significant upward shift in plant species optimum elevation during the 20th century. Science 320:1768–1771. doi:10.1126/science.1156831
Moser B, Kipfer T, Richter S, Egli S, Wohlgemuth T (2015) Drought resistance of Pinus sylvestris seedlings conferred by plastic root architecture rather than ectomycorrhizal colonisation. Ann For Sci. doi:10.1007/s13595-014-0380-6
Pasztor F, Matulla C, Zuvela-Aloise M, Rammer W, Lexer MJ (2015) Developing predictive models of wind damage in Austrian forests. Ann For Sci. doi:10.1007/s13595-014-0386-0
Seidl R, Schelhaas MJ, Rammer W, Verkerk PJ (2014) Increasing forest disturbances in Europe and their impact on carbon storage. Nat Clim Chang 4:806–810. doi:10.1038/nclimate2318
Vacchiano G, Motta R (2015) An improved species distribution model for Scots pine and downy oak under future climate change in the NW Italian Alps. Ann For Sci. doi:10.1007/s13595-014-0439-4
Walther GR, Beissner S, Burga CA (2005) Trends in the upward shift of alpine plants. J Veg Sci 16:541–548. doi:10.1111/j.1654-1103.2005.tb02394.x
Wohlgemuth T, Priewasser K (2013) ClimTree 2013. International conference on climate change and tree responses in Central European forests. Conference,1 to 5 September 2013. Birmensdorf: Swiss Federal Research Institute WSL http://www.wsl.ch/dienstleistungen/publikationen/pdf/12911.pdf
Handling Editor: Erwin Dreyer
•Key message The special issue reports on the successful ClimTree 2013 conference held in Zurich (Switzerland) and gives view on the diversity of both current and projected climate change impacts in forest structures, communities, or individual species of Central Europe.
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Wohlgemuth, T. Climate change and tree responses in Central European forests. Annals of Forest Science 72, 285–287 (2015). https://doi.org/10.1007/s13595-015-0474-9