Forest disturbances under climate change (original) (raw)

References

1. Turner, M. G. Disturbance and landscape dynamics in a changing world. Ecology 91, 2833–2849 (2010).
   Article Google Scholar
2. Frelich, L. E. Forest Dynamics and Disturbance Regimes: Studies from Temperate Evergreen–Deciduous Forests (Cambridge Univ. Press, 2002).
   Book Google Scholar
3. White, P. S. & Pickett, S. T. A. in The Ecology of Natural Disturbance and Patch Dynamics (eds Pickett, S. T. A. & White, P. S.) 3–13 (Academic Press, 1985).
   Google Scholar
4. Turner, M. G., Tinker, D. B., Romme, W. H., Kashian, D. M. & Litton, C. M. Landscape patterns of sapling density, leaf area, and aboveground net primary production in postfire lodgepole pine forests, Yellowstone National Park (USA). Ecosystems 7, 751–775 (2004).
   Article Google Scholar
5. Beudert, B. et al. Bark beetles increase biodiversity while maintaining drinking water quality. Conserv. Lett. 8, 272–281 (2015).
   Article Google Scholar
6. Thom, D. & Seidl, R. Natural disturbance impacts on ecosystem services and biodiversity in temperate and boreal forests. Biol. Rev. 91, 760–781 (2016).
   Article Google Scholar
7. Holling, C. S. & Gunderson, L. H. in Panarchy. Understanding the transformations in human and natural systems (eds Gunderson, L. H. & Holling, C. S.) 25–62 (Island Press, 2002).
   Google Scholar
8. Thom, D., Rammer, W. & Seidl, R. Disturbances catalyze the adaptation of forest ecosystems to changing climate conditions. Global Change Biol. 23, 269–282 (2017).
   Article Google Scholar
9. Seidl, R., Schelhaas, M.-J. & Lexer, M. J. Unraveling the drivers of intensifying forest disturbance regimes in Europe. Global Change Biol. 17, 2842–2852 (2011).
   Article Google Scholar
10. Westerling, A. L. Increasing western US forest wildfire activity: sensitivity to changes in the timing of spring. Philos. Trans. R. Soc. Lond. B. 371, 20150178 (2016).
    Article Google Scholar
11. Pechony, O. & Shindell, D. T. Driving forces of global wildfires over the past millennium and the forthcoming century. Proc. Natl Acad. Sci. USA 107, 19167–19170 (2010).
    Article CAS Google Scholar
12. Paritsis, J. & Veblen, T. T. Dendroecological analysis of defoliator outbreaks on Nothofagus pumilio and their relation to climate variability in the Patagonian Andes. Global Change Biol. 17, 239–253 (2011).
    Article Google Scholar
13. Kautz, M., Meddens, A. J. H., Hall, R. J. & Arneth, A. Biotic disturbances in Northern Hemisphere forests — a synthesis of recent data, uncertainties and implications for forest monitoring and modelling. Global Ecol. Biogeogr. 26, 533–552 (2017).
    Article Google Scholar
14. Millar, C. I. & Stephenson, N. L. Temperate forest health in an era of emerging megadisturbance. Science 349, 823–826 (2015).
    Article CAS Google Scholar
15. Allen, C. D., Breshears, D. D. & McDowell, N. G. On underestimation of global vulnerability to tree mortality and forest die-off from hotter drought in the Anthropocene. Ecosphere 6, 1–55 (2015).
    Article Google Scholar
16. Reyer, C. P. O. et al. Forest resilience and tipping points at different spatio-temporal scales: approaches and challenges. J. Ecol. 103, 5–15 (2015).
    Article Google Scholar
17. Johnstone, J. F. et al. Changing disturbance regimes, climate warming and forest resilience. Front. Ecol. Environ. 14, 369–378 (2016).
    Article Google Scholar
18. Seidl, R., Spies, T. A., Peterson, D. L., Stephens, S. L. & Hicke, J. A. Searching for resilience: addressing the impacts of changing disturbance regimes on forest ecosystem services. J. Appl. Ecol. 53, 120–129 (2016).
    Article Google Scholar
19. Lindner, M. et al. Climate change impacts, adaptive capacity, and vulnerability of European forest ecosystems. For. Ecol. Manage. 259, 698–709 (2010).
    Article Google Scholar
20. White, P. S. Pattern, process, and natural disturbance in vegetation. Bot. Rev. 45, 229–299 (1979).
    Article Google Scholar
21. Sousa, W. P. The role of disturbance in natural communities. Annu. Rev. Ecol. Syst. 15, 353–391 (1984).
    Article Google Scholar
22. Dale, V. H. et al. Climate change and forest disturbances. Bioscience 51, 723–734 (2001).
    Article Google Scholar
23. Overpeck, J. T., Rind, D. & Goldberg, R. Climate induced changes in forest disturbance and vegetation. Nature 343, 51–53 (1990).
    Article Google Scholar
24. Williams, A. P. & Abatzoglou, J. T. Recent advances and remaining uncertainties in resolving past and future climate effects on global fire activity. Curr. Clim. Change Rep. 2, 1–14 (2016).
    Article Google Scholar
25. Raffa, K. F. et al. in Climate Change and Insect Pests (eds Björkman, C. & Niemelä, P.) 173–201 (CABI, 2015).
    Book Google Scholar
26. Sturrock, R. N. et al. Climate change and forest diseases. Plant Pathol. 60, 133–149 (2011).
    Article Google Scholar
27. Buma, B. Disturbance interactions: characterization, prediction, and the potential for cascading effects. Ecosphere 6, art70 (2015).
    Article Google Scholar
28. Foster, C. N., Sato, C. F., Lindenmayer, D. B. & Barton, P. S. Integrating theory into disturbance interaction experiments to better inform ecosystem management. Global Change Biol. 22, 1325–1335 (2016).
    Article Google Scholar
29. Jactel, H. et al. Drought effects on damage by forest insects and pathogens: a meta-analysis. Global Change Biol. 18, 267–276 (2012).
    Article Google Scholar
30. Peters, D. P. C. et al. Cross-system comparisons elucidate disturbance complexities and generalities. Ecosphere 2, art81 (2011).
    Article Google Scholar
31. Berrang-Ford, L., Pearce, T. & Ford, J. D. Systematic review approaches for climate change adaptation research. Reg. Environ. Change 15, 755–769 (2015).
    Article Google Scholar
32. Seidl, R. & Rammer, W. Climate change amplifies the interactions between wind and bark beetle disturbance in forest landscapes. Landscape Ecol. http://dx.doi.org/10.1007/s10980-016-0396-4 (2017).
33. Temperli, C., Bugmann, H. & Elkin, C. Cross-scale interactions among bark beetles, climate change, and wind disturbances: a landscape modeling approach. Ecol. Monogr. 83, 383–402 (2013).
    Article Google Scholar
34. Flannigan, M. et al. Global wildland fire season severity in the 21st century. For. Ecol. Manage. 294, 54–61 (2013).
    Article Google Scholar
35. Jönsson, A. M. et al. Modelling the potential impact of global warming on Ips typographus voltinism and reproductive diapause. Clim. Change 109, 695–718 (2011).
    Article Google Scholar
36. Hanewinkel, M., Cullmann, D. A., Schelhaas, M.-J., Nabuurs, G.-J. & Zimmermann, N. E. Climate change may cause severe loss in the economic value of European forest land. Nat. Clim. Change 3, 203–207 (2013).
    Article Google Scholar
37. Schröter, D. et al. Ecosystem service supply and vulnerability to global change in Europe. Science 310, 1333–1337 (2005).
    Article CAS Google Scholar
38. Naudts, K. et al. Europe's forest management did not mitigate climate warming. Science 351, 597–601 (2016).
    Article CAS Google Scholar
39. Running, S. W. Ecosystem disturbance, carbon, and climate. Science 321, 652–653 (2008).
    Article CAS Google Scholar
40. Seidl, R., Schelhaas, M.-J., Rammer, W. & Verkerk, P. J. Increasing forest disturbances in Europe and their impact on carbon storage. Nat. Clim. Change 4, 806–810 (2014).
    Article CAS Google Scholar
41. Clark, J. S., Bell, D. M., Kwit, M. C. & Zhu, K. Competition-interaction landscapes for the joint response of forests to climate change. Global Change Biol. 20, 1979–1991 (2014).
    Article Google Scholar
42. Bentz, B. J. et al. Climate change and bark beetles of the western United States and Canada: direct and indirect effects. Bioscience 60, 602–613 (2010).
    Article Google Scholar
43. Liu, Z. & Wimberly, M. C. Direct and indirect effects of climate change on projected future fire regimes in the western United States. Sci. Total Environ. 542, 65–75 (2016).
    Article CAS Google Scholar
44. R Development Core Team R. A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2016).
45. Gu, Z., Gu, L., Eils, R., Schlesner, M. & Brors, B. circlize implements and enhances circular visualization in R. Bioinformatics 30, 2811–2812 (2014).
    Article CAS Google Scholar
46. Nakazawa, M. fmsb: Functions for Medical Statistics Book with some Demographic Data R package v.0.5.1 (2014); http://CRAN.R-project.org/package=fmsb.
47. Knutson, T. R. et al. Tropical cyclones and climate change. Nat. Geosci. 3, 157–163 (2010).
    Article CAS Google Scholar
48. Bender, M. A. et al. Modeled impact of anthropogenic warming on the frequency of intense Atlantic hurricanes. Science 327, 454–458 (2010).
    Article CAS Google Scholar
49. Meddens, A. J. H., Hicke, J. A. & Ferguson, C. A. Spatiotemporal patterns of observed bark beetle-caused tree mortality in British Columbia and the western United States. Ecol. Appl. 22, 1876–1891 (2012).
    Article Google Scholar
50. IPCC Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) (Cambridge Univ. Press, 2013).
51. Solomon, S., Plattner, G.-K., Knutti, R. & Friedlingstein, P. Irreversible climate change due to carbon dioxide emissions. Proc. Natl Acad. Sci. USA 106, 1704–1709 (2009).
    Article CAS Google Scholar
52. Müller, M. M. et al. Predicting the activity of Heterobasidion parviporum on Norway spruce in warming climate from its respiration rate at different temperatures. For. Pathol. 44, 325–336 (2014).
    Article Google Scholar
53. Cruickshank, M. G., Jaquish, B. & Nemec, A. F. L. Resistance of half-sib interior Douglas-fir families to Armillaria ostoyae in British Columbia following artificial inoculation. Can. J. For. Res. 40, 155–166 (2010).
    Article Google Scholar
54. Panferov, O., Doering, C., Rauch, E., Sogachev, A. & Ahrends, B. Feedbacks of windthrow for Norway spruce and Scots pine stands under changing climate. Environ. Res. Lett. 4, 045019 (2009).
    Article Google Scholar
55. Cowden, M. M., Hart, J. L., Schweitzer, C. J. & Dey, D. C. Effects of intermediate-scale wind disturbance on composition, structure, and succession in Quercus stands: implications for natural disturbance-based silviculture. For. Ecol. Manage. 330, 240–251 (2014).
    Article Google Scholar
56. Seidl, R., Donato, D. C., Raffa, K. F. & Turner, M. G. Spatial variability in tree regeneration after wildfire delays and dampens future bark beetle outbreaks. Proc. Natl Acad. Sci. USA 113, 13075–13080 (2016).
    Article CAS Google Scholar
57. Stadelmann, G., Bugmann, H., Wermelinger, B. & Bigler, C. Spatial interactions between storm damage and subsequent infestations by the European spruce bark beetle. For. Ecol. Manage. 318, 167–174 (2014).
    Article Google Scholar
58. Paine, R. T., Tegner, M. J. & Johnson, E. A. Compounded perturbations yield ecological surprises. Ecosystems 1, 535–545 (1998).
    Article Google Scholar
59. Becknell, J. M. et al. Assessing interactions among changing climate, management, and disturbance in forests: a macrosystems approach. Bioscience 65, 263–274 (2015).
    Article Google Scholar
60. Temperli, C., Veblen, T. T., Hart, S. J., Kulakowski, D. & Tepley, A. J. Interactions among spruce beetle disturbance, climate change and forest dynamics captured by a forest landscape model. Ecosphere 6, art231 (2015).
    Article Google Scholar
61. Seidl, R. et al. Modelling natural disturbances in forest ecosystems: a review. Ecol. Modell. 222, 903–924 (2011).
    Article Google Scholar
62. Keane, R. E. et al. Representing climate, disturbance, and vegetation interactions in landscape models. Ecol. Model. 309–310, 33–47 (2015).
    Article Google Scholar
63. Valenta, V., Moser, D., Kuttner, M., Peterseil, J. & Essl, F. A high-resolution map of emerald ash borer invasion risk for southern central Europe. Forests 6, 3075–3086 (2015).
    Article Google Scholar
64. Gandhi, K. J. K. & Herms, D. A. Direct and indirect effects of alien insect herbivores on ecological processes and interactions in forests of eastern North America. Biol. Invasions 12, 389–405 (2010).
    Article Google Scholar
65. Seidl, R. The shape of ecosystem management to come: anticipating risks and fostering resilience. Bioscience 64, 1159–1169 (2014).
    Article Google Scholar
66. Billmire, M., French, N. H. F., Loboda, T., Owen, R. C. & Tyner, M. Santa Ana winds and predictors of wildfire progression in southern California. Int. J. Wildland Fire 23, 1119–1129 (2014).
    Article Google Scholar
67. Pausas, J. G. & Ribeiro, E. The global fire-productivity relationship. Global Ecol. Biogeogr. 22, 728–736 (2013).
    Article Google Scholar
68. Bowman, D. M., Murphy, B. P., Williamson, G. J. & Cochrane, M. A. Pyrogeographic models, feedbacks and the future of global fire regimes. Global Ecol. 32, 821–824 (2014).
    Article Google Scholar
69. Ryan, K. C. Dynamic interactions between forest structure and fire behavior in boreal ecosystems. Silva Fenn. 36, 13–39 (2002).
    Article Google Scholar
70. Cook, B. I., Smerdon, J. E., Seager, R. & Coats, S. Global warming and 21st century drying. Clim. Dyn. 43, 2607–2627 (2014).
    Article Google Scholar
71. Suarez, M. L. & Kitzberger, T. Recruitment patterns following a severe drought: long-term compositional shifts in Patagonian forests. Can. J. For. Res. 38, 3002–3010 (2008).
    Article Google Scholar
72. Harvey, B. J., Donato, D. C. & Turner . High and dry: postfire drought and large stand-replacing burn patches reduce postfire tree regeneration in subalpine forests. Global Ecol. Biogeogr. 25, 655–669 (2016).
    Article Google Scholar
73. Donat, M. G., Leckebusch, G. C., Wild, S. & Ulbrich, U. Future changes in European winter storm losses and extreme wind speeds inferred from GCM and RCM multi-model simulations. Nat. Hazards Earth Syst. Sci. 11, 1351–1370 (2011).
    Article Google Scholar
74. Peltola, H. et al. Impacts of climate change on timber production and regional risks of wind-induced damage to forests in Finland. For. Ecol. Manage. 260, 833–845 (2010).
    Article Google Scholar
75. Usbeck, T. et al. Increasing storm damage to forests in Switzerland from 1858 to 2007. Agric. For. Meteorol. 150, 47–55 (2010).
    Article Google Scholar
76. Moore, J. R. & Watt, M. S. Modelling the influence of predicted future climate change on the risk of wind damage within New Zealand's planted forests. Global Change Biol. Biol. 21, 3021–3035 (2015).
    Article Google Scholar
77. Whitney, R. D., Fleming, R. L., Zhou, K. & Mossa, D. S. Relationship of root rot to black spruce windfall and mortality following strip clear-cutting. Can. J. For. Res. 32, 283–294 (2002).
    Article Google Scholar
78. Teich, M., Marty, C., Gollut, C., Grêt-Regamey, A. & Bebi, P. Snow and weather conditions associated with avalanche releases in forests: rare situations with decreasing trends during the last 41years. Cold Regions Sci. Technol. 83, 77–88 (2012).
    Article Google Scholar
79. Gregow, H., Peltola, H., Laapas, M., Saku, S. & Venäläinen, A. Combined occurrence of wind, snow loading and soil frost with implications for risks to forestry in Finland under the current and changing climatic conditions. Silva Fenn. 45, 35–54 (2011).
    Article Google Scholar
80. Cheng, C. S., Auld, H., Li, G., Klaassen, J. & Li, Q. Possible impacts of climate change on freezing rain in south-central Canada using downscaled future climate scenarios. Nat. Hazards Earth Syst. Sci. 7, 71–87 (2007).
    Article Google Scholar
81. Kilpeläinen, A. et al. Impacts of climate change on the risk of snow-induced forest damage in Finland. Clim. Change 99, 193–209 (2010).
    Article CAS Google Scholar
82. Bebi, P., Kulakowski, D. & Rixen, C. Snow avalanche disturbances in forest ecosystems—state of research and implications for management. For. Ecol. Manage. 257, 1883–1892 (2009).
    Article Google Scholar
83. Maroschek, M., Rammer, W. & Lexer, M. J. Using a novel assessment framework to evaluate protective functions and timber production in Austrian mountain forests under climate change. Reg. Environ. Change 15, 1543–1555 (2015).
    Article Google Scholar
84. Lemoine, N. P., Burkepile, D. E. & Parker, J. D. Variable effects of temperature on insect herbivory. PeerJ 2, e376 (2014).
    Article Google Scholar
85. Battisti, A. et al. Expansion of geographic range in the pine processionary moth caused by increased winter temperatures. Ecol. Appl. 15, 2084–2096 (2005).
    Article Google Scholar
86. Evangelista, P. H., Kumar, S., Stohlgren, T. J. & Young, N. E. Assessing forest vulnerability and the potential distribution of pine beetles under current and future climate scenarios in the Interior West of the US. For. Ecol. Manage. 262, 307–316 (2011).
    Article Google Scholar
87. Schwartzberg, E. G. et al. Simulated climate warming alters phenological synchrony between an outbreak insect herbivore and host trees. Oecologia 175, 1041–1049 (2014).
    Article Google Scholar
88. Gaylord, M. L. et al. Drought predisposes piñon-juniper woodlands to insect attacks and mortality. New Phytol. 198, 567–578 (2013).
    Article CAS Google Scholar
89. Aguayo, J., Elegbede, F., Husson, C., Saintonge, F.-X. & Marçais, B. Modeling climate impact on an emerging disease, the _Phytophthora alni_-induced alder decline. Global Change Biol. 20, 3209–3221 (2014).
    Article Google Scholar
90. Vacher, C., Vile, D., Helion, E., Piou, D. & Desprez-Loustau, M.-L. Distribution of parasitic fungal species richness: influence of climate versus host species diversity. Divers. Distrib. 14, 786–798 (2008).
    Article Google Scholar
91. Karnosky, D. F. et al. Interacting elevated CO2 and tropospheric O3 predisposes aspen (Populus tremuloides Michx.) to infection by rust (Melampsora medusae f. sp. tremuloidae). Global Change Biol. 8, 329–338 (2002).
    Article Google Scholar
92. Garnas, J. R., Houston, D. R., Ayres, M. P. & Evans, C. Disease ontogeny overshadows effects of climate and species interactions on population dynamics in a nonnative forest disease complex. Ecography 35, 412–421 (2012).
    Article Google Scholar
93. Tsui, C. K. M. et al. Population structure and migration pattern of a conifer pathogen, Grosmannia clavigera, as influenced by its symbiont, the mountain pine beetle. Mol. Ecol. 21, 71–86 (2012).
    Article Google Scholar

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