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Chapter Thirteen - Forests in a greenhouse atmosphere: predicting the unpredictable?

Published online by Cambridge University Press:  05 June 2014

By
Harald Bugmann
Edited by
David A. Coomes ,
David F. R. P. Burslem  and
William D. Simonson
Harald Bugmann
Affiliation:
Swiss Federal Institute of Technology
David A. Coomes
Affiliation:
University of Cambridge
David F. R. P. Burslem
Affiliation:
University of Aberdeen
William D. Simonson
Affiliation:
University of Cambridge
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Summary

Introduction

Forest ecosystems are of key importance from the global to the local level, as they provide a multitude of goods and services upon which humanity depends (MEA 2005). Globally, forests are an important element of many biogeochemical cycles, among others the carbon cycle, with direct implications for atmospheric greenhouse gas concentrations as well as for the energy balance at the land surface (e.g. albedo); also, they harbour a considerable amount of terrestrial biodiversity. In many countries worldwide, forests continue to be an important element in the resource base of human livelihoods, including wood for construction and energy use, food and fibre, and many other products. Both regionally and locally, forests are important for mitigating soil erosion or protecting mountain settlements from rockfall and snow avalanches (IUCN 2008).

Humanity is facing the task of reducing carbon emissions from the burning of fossil fuels by c. 80% over the coming decades (IPCC 2007). Therefore, the role of forests will most likely increase in the future as an energy base as well as for the sustainable production of fibre; it has long been known that any petrochemically based good could be produced from wood compounds (Goldstein 1975). For all these reasons, understanding the factors and processes that shape the structure, composition and functioning of forest ecosystems is not only of scientific interest, but also of great practical importance in the context of the management of these systems in the face of multiple, often conflicting demands by human societies. Indeed, the dynamics of forest ecosystems at decadal to centennial time scales (subsequently referred to as ‘long-term forest dynamics’) have long fascinated and puzzled laypeople as well as scientists.

Type
Chapter
Information
Forests and Global Change , pp. 359 - 380
Publisher: Cambridge University Press
Print publication year: 2014

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References

Allen, C. D., Macalady, A. K., Chenchouni, H. et al. (2010) A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests. Forest Ecology and Management, 259, 660–684.CrossRefGoogle Scholar
Bernadzki, E., Bolibok, L., Brzeziecki, B., Zajaczkowski, J. & Zybura, H. (1998) Compositional dynamics of natural forests in the Bialowieza National Park, northeastern Poland. Journal of Vegetation Science, 9, 229–238.CrossRefGoogle Scholar
Bigler, C. & Veblen, T. T. (2009) Increased early growth rates decrease longevities of conifers in subalpine forests. Oikos, 118, 1130–1138.CrossRefGoogle Scholar
Bonan, G. B. (1993) Do biophysics and physiology matter in ecosystem models?Climatic Change, 24, 281–285.CrossRefGoogle Scholar
Bonan, G. B., Shugart, H. H. & Urban, D. L. (1990) The sensitivity of some high-latitude boreal forests to climatic parameters. Climatic Change, 16, 9–29.CrossRefGoogle Scholar
Botkin, D. B., Janak, J. F. & Wallis, J. R. (1970) A Simulator for Northeastern Forest Growth. Research Report 3140, Yorktown Heights, NY: IBM Thomas J. Watson Research Center.Google Scholar
Botkin, D. B., Janak, J. F. & Wallis, J. R. (1972a) Some ecological consequences of a computer model of forest growth. Journal of Ecology, 60, 849–872.CrossRefGoogle Scholar
Botkin, D. B., Janak, J. F. & Wallis, J. R. (1972b) Rationale, limitations and assumptions of a northeastern forest growth simulator. IBM J. Res. Development, 16, 101–116.CrossRefGoogle Scholar
Botkin, D. B., Janak, J. F. & Wallis, J. R. (1973) Estimating the effects of carbon fertilization on forest composition by ecosystem simulation. In Carbon and the Biosphere (eds. Woodwell, G. M. & Pecan, E. V.), pp. 328–344. Washington, DC: US Department of CommerceGoogle Scholar
Box, G. E. P. & Draper, N. R. (1987) Empirical Model-Building and Response Surfaces. New York, NY: John Wiley & Sons.Google Scholar
Bugmann, H. (1996) A simplified forest model to study species composition along climate gradients. Ecology, 77, 2055–2074.CrossRefGoogle Scholar
Bugmann, H. (1997) An efficient method for estimating the steady-state species composition of forest gap models. Canadian Journal of Forest Research, 27, 551–556.CrossRefGoogle Scholar
Bugmann, H. (2001) A review of forest gap models. Climatic Change, 51, 259–305.CrossRefGoogle Scholar
Bugmann, H. (2003) Predicting the ecosystem effects of climate change. In Models in Ecosystem Science (eds. Canham, C. D., Lauenroth, W. K. & Cole, J. S.), pp. 385–409. Princeton, NJ: Princeton University Press.Google Scholar
Bugmann, H. & Bigler, C. (2011) Will the CO2 fertilization effect in forests be offset by reduced tree longevity?Oecologia, 165, 533–544.CrossRefGoogle ScholarPubMed
Bugmann, H., Lindner, M., Lasch, P. et al. (2000) Scaling issues in forest succession modelling. Climatic Change, 44, 265–289.CrossRefGoogle Scholar
Bugmann, H. K. M., Reynolds, J. F. & Pitelka, L. F. (eds.) (2001) How much physiology is needed in forest gap models for simulating long-term vegetation response to global change?Climatic Change, 51, 249–557.CrossRef
Bugmann, H. & Solomon, A. M. (2000) Explaining forest composition and biomass across multiple biogeographical regions. Ecological Applications, 10, 95–114.CrossRefGoogle Scholar
Bugmann, H., Yan, X., Sykes, M. T. et al. (1996) A comparison of forest gap models: Model structure and behaviour. Climatic Change, 34, 289–313.CrossRefGoogle Scholar
Cramer, W., Bondeau, A., Woodward, F. et al. (2001) Global response of terrestrial ecosystem structure and function to CO2 and climate change: results from six dynamic global vegetation models. Global Change Biology 7, 357–373.CrossRefGoogle Scholar
Dale, V. H. & Franklin, J. F. (1989) Potential effects of climate change on stand development in the Pacific Northwest. Canadian Journal of Forest Research, 19, 1581–1590.CrossRefGoogle Scholar
Delcourt, H. R. & Delcourt, P. A. (1991) Quaternary Ecology: A Paleoecological Perspective. New York: Springer Science & Business.CrossRefGoogle Scholar
Dethier, M. N. (1984) Disturbance and recovery in intertidal pools: maintenance of mosaic patterns. Ecological Monographs, 54, 99–118.CrossRefGoogle Scholar
Deutschman, D. H., Levin, S. A., Devine, C. & Buttel, L. A. (1997) Scaling from trees to forests: analysis of a complex simulation model. Science, 277, 1688.Google Scholar
Didion, M., Kupferschmid, A. D., Wolf, A. & Bugmann, H. (2011) Ungulate herbivory modifies the effects of climate change on mountain forests. Climatic Change, 109, 647–669.CrossRefGoogle Scholar
Doyle, T. W. (1981) The role of disturbance in the gap dynamics of a montane rain forest: an application of a tropical forest succession model. In Forest Succession: Concepts and Application (eds. West, D. C., Shugart, H. H. & Botkin, D. B.), pp. 56–73. New York: SpringerCrossRefGoogle Scholar
Evensen, G. (1992) Using the extended Kalman filter with a multilayer quasi-geostrophic ocean model. Journal of Geophysical Research, 97, 17905–17924.CrossRefGoogle Scholar
Franklin, J. F. & Dyrness, C. T. (1973) Natural Vegetation of Oregon and Washington. Reprinted 1988, Corvallis, OR: Oregon State University Press.Google Scholar
Friend, A. D., Stevens, A. K., Knox, R. G. & Cannell, M. G.R. (1997) A process-based, terrestrial biosphere model of ecosystem dynamics (Hybrid v3.0). Ecological Modelling, 95, 249–287.CrossRefGoogle Scholar
Gleason, H. A. (1939) The individualistic concept of the plant association. American Midland Naturalist, 21, 92–110.CrossRefGoogle Scholar
Goldstein, J. S. (1975) Potential for converting wood into plastics: chemicals from wood may regain importance as the cost of petroleum continues to rise. Science, 189, 847–852.CrossRefGoogle ScholarPubMed
Goodwin, N. R., Coops, N. C. & Culvenor, D. S. (2006) Assessment of forest structure with airborne LiDAR and the effects of platform altitude. Remote Sensing of Environment, 103, 140–152.CrossRefGoogle Scholar
Grimm, V. & Railsback, S. F. (2005) Individual-based Modeling and Ecology. Princeton NJ: Princeton University Press.CrossRefGoogle Scholar
Grimm, V., Revilla, E., Berger, U. et al. (2005) Pattern-oriented modeling of agent-based complex systems: lessons from ecology. Science, 310, 987–991.CrossRefGoogle ScholarPubMed
Hartig, F., Dyke, J., Hickler, T., et al. (2012) Connecting dynamic vegetation models to data – an inverse perspective. Journal of Biogeography, 39, 2240–2252.CrossRefGoogle Scholar
Heiri, C. (2009) Stand dynamics in Swiss forest reserves: an analysis based on long-term forest reserve data and dynamic modeling. Unpublished PhD thesis No. 18388, Swiss Federal Institute of Technology Zurich.
Holdridge, L. R. (1967) Life Zone Ecology. San José, Costa Rica: Tropical Science Center.Google Scholar
IPCC (2007) Synthesis report. Fourth Assessment Report of the Intergovernmental Panel on Climate Change (eds. Pachauri, R. K. & Reisinger, A.). Geneva, Switzerland: IPCC.Google Scholar
IUCN (2008) Forest environmental services. In Encyclopedia of Earth (ed. Cutler, J.). Washington, DC: Environmental Information Coalition, National Council for Science and the Environment.Google Scholar
Keane, R. E., Austin, M., Field, C. et al. (2001) Tree mortality in gap models: application to climate change. Climatic Change, 51, 509–540.CrossRefGoogle Scholar
Kercher, J. R. & Axelrod, M. C. (1984) Analysis of SILVA: a model for forecasting the effects of SO2 pollution and fire on western coniferous forests. Ecological Modelling, 23, 165–184.CrossRefGoogle Scholar
Kienast, F. (1987) FORECE – A Forest Succession Model for Southern Central Europe. Oak Ridge, TN: Oak Ridge National Laboratory, ORNL/TM-10575.Google Scholar
Kienast, F. (1991) Simulated effects of increasing CO2 on the successional characteristics of Alpine forest ecosystems. Landscape Ecology, 5, 225–238.CrossRefGoogle Scholar
Köhler, P. & Huth, A. (2007) Impacts of recruitment limitation and canopy disturbance on tropical tree species richness. Ecological Modelling, 203, 511–517.CrossRefGoogle Scholar
Körner, C. (1998) A re-assessment of high elevation treeline position and their explanation. Oecologia, 115, 445–459.Google ScholarPubMed
Kräuchi, N. & Kienast, F. (1993) Modelling subalpine forest dynamics as influenced by a changing environment. Water, Air and Soil Pollution, 68, 185–197.CrossRefGoogle Scholar
Lee, T. D., Barrott, S. H. & Reich, P. B. (2011) Photosynthetic responses of 13 grassland species across 11 years of free-air CO2 enrichment is modest, consistent and independent of N supply. Global Change Biology, 17, 2893–2904.CrossRefGoogle Scholar
Leemans, R. & Prentice, I. C. (1989) FORSKA, A General Forest Succession Model. Uppsala: Institute of Ecological Botany.Google Scholar
Leuzinger, S., Lou, Y. Q., Beier, C. et al. (2011) Do global change experiments overestimate impacts on terrestrial ecosystems?Trends in Ecology & Evolution, 26, 236–241.CrossRefGoogle ScholarPubMed
Leuzinger, S., Manusch, C., Bugmann, H. & Wolf, A. (2013) A sink-limited growth model improves biomass estimation along boreal and alpine tree lines. Global Ecology and Biogeography, in press ().CrossRefGoogle Scholar
Levins, R. (1966) The strategy of model building in population biology. American Scientist, 54, 421–431.Google Scholar
Lindner, M. (2000) Developing adaptive forest management strategies to cope with climate change. Tree Physiology, 20, 299–307.CrossRefGoogle Scholar
Lindner, M., Sievänen, R. & Pretzsch, H. (1997) Improving the simulation of stand structure in a forest gap model. Forest Ecology and Management, 95, 183–195.CrossRefGoogle Scholar
Liu, J. & Ashton, P. S. (1995) Individual-based simulation models for forest succession and management. Forest Ecology and Management, 73, 157–175.CrossRefGoogle Scholar
Loehle, C. & LeBlanc, D. (1996) Model-based assessments of climate change effects on forests: a critical review. Ecological Modeling, 90, 1–31.CrossRefGoogle Scholar
Martin, M., Gavazov, K., Körner, C., Hättenschwiler, S. & Rixen, C. (2010) Reduced early growing season freezing resistance in alpine treeline plants under elevated atmospheric CO2. Global Change Biology, 16, 1057–1070.CrossRefGoogle Scholar
Martin, P. (1992) EXE: A climatically sensitive model to study climate change and CO2 enrichment effects on forests. Australian Journal of Botany, 40, 717–735.CrossRefGoogle Scholar
MEA (2005) Millennium Ecosystem Assessment. Global Assessment Reports Vol. 1–3. Washington, DC: Island Press.Google Scholar
Millar, C. I., Stephenson, N. L. & Stephens, S. L. (2007) Climate change and forests of the future: managing in the face of uncertainty. Ecological Applications, 17, 2145–2151.CrossRefGoogle Scholar
Miller, P. A., Giesecke, T., Hickler, T. et al. (2008) Exploring climatic and biotic controls on Holocene vegetation change in Fennoscandia. Journal of Ecology, 96, 247–259.CrossRefGoogle Scholar
Morales, P., Hickler, T., Rowell, D. P., Smith, B. & Sykes, M. T. (2007) Changes in European ecosystem productivity and carbon balance driven by regional climate model output. Global Change Biology, 13, 108–122.CrossRefGoogle Scholar
Norby, R. J., Ogle, K., Curtis, P. S. et al. (2001) Aboveground growth and competition in forest gap models: An analysis for studies of climatic change. Climatic Change, 51, 415–447.CrossRefGoogle Scholar
O’Neill, R. V., DeAngelis, D. L., Waide, J. B. & Allen, T. F. H. (1986) A Hierarchical Concept of Ecosystems. Princeton, NJ: Princeton University Press,Google Scholar
Pacala, S. W., Canham, C. D. & SilanderJr, J. A. (1993) Forest models defined by field measurements: I. The design of a northeastern forest simulator. Canadian Journal of Forest Research, 23, 1980–1988.CrossRefGoogle Scholar
Pacala, S. W. & Rees, M. (1998) Models suggesting field experiments to test two hypotheses explaining successional diversity. American Naturalist, 152, 729–737.CrossRefGoogle ScholarPubMed
Pastor, J. & Post, W. M. (1988) Response of northern forests to CO2-induced climate change. Nature, 334, 55–58.CrossRefGoogle Scholar
Pieper, S. J., Lowen, V., Gill, M. & Johnstone, J. F. (2011) Plant responses to natural and experimental variations in temperature in Alpine tundra, Southern Yukon, Canada. Arctic, Antarctic and Alpine Research, 43, 442–456.CrossRefGoogle Scholar
Popper, K. (1934) Logik der Forschung. Vienna: Julius Springer-Verlag.Google Scholar
Prentice, I. C., Sykes, M. T. & Cramer, W. (1991) The possible dynamic response of northern forests to global warming. Global Ecology and Biogeography Letters, 1, 129–135.CrossRefGoogle Scholar
Prentice, I. C., Sykes, M. T. & Cramer, W. (1993) A simulation model for the transient effects of climate change on forest landscapes. Ecological Modelling, 65, 51–70.CrossRefGoogle Scholar
Price, D. T., Zimmermann, N. E., van der Meer, P. J. et al. (2001) Regeneration in gap models: priority issues for studying forest responses to global change. Climatic Change, 51, 475–508.CrossRefGoogle Scholar
Ralston, R., Buongiorno, J., Schulte, B. & Fried, J. (2003). Non-linear matrix modeling of forest growth with permanent plot data: the case of uneven-aged Douglas-fir stands. International Transactions in Operations Research, 10, 461–482.CrossRefGoogle Scholar
Rasche, L., Fahse, L., Zingg, A. & Bugmann, H. (2011a) Getting a virtual forester fit for the challenge of climatic change. Journal of Applied Ecology, 48, 1174–1186.CrossRefGoogle Scholar
Rasche, L., Fahse, L., Zingg, A. & Bugmann, H. (2011b) Ein virtueller Förster lernt durchforsten – Sukzessionsmodelle in der Ertragsforschung? In Tagungsband der Jahrestagung der Sektion Ertragskunde des deutschen Verbandes der forstlichen Versuchsanstalten (ed. Nagel, J.), pp. 207–212. Göttingen.Google Scholar
Risch, A., Heiri, C. & Bugmann, H. (2005) Simulating structural forest patterns with a forest gap model: a model evaluation. Ecological Modelling, 181, 161–172.CrossRefGoogle Scholar
Sale, P. F. (ed.) (1991) The Ecology of Fishes on Coral Reefs. San Diego, CA: Academic Press.
Schulman, E. (1958) Bristlecone pine, oldest known living thing. National Geographic Magazine, 113, 354–372.Google Scholar
Seidl, R., Rammer, W. & Lexer, M. J. (2011) Climate change vulnerability of sustainable forest management in the Eastern Alps. Climatic Change, 106, 225–254.CrossRefGoogle Scholar
Shugart, H. H. (1984) A Theory of Forest Dynamics. The Ecological Implications of Forest Succession Models. New York: Springer.CrossRefGoogle Scholar
Shugart, H. H. (1998) Terrestrial Ecosystems in a Changing Environment. Cambridge: Cambridge University Press.Google Scholar
Shugart, H. H. & Noble, I. R. (1981) A computer model of succession and fire response of the high-altitude Eucalyptus forest of the Brindabella Range, Australian Capital Territory. Australian Journal of Ecology, 6, 149–164.CrossRefGoogle Scholar
Shugart, H. H. & West, D. C. (1977) Development of an Appalachian deciduous forest succession model and its application to assessment of the impact of the chestnut blight. Journal of Environmental Management, 5, 161–179.Google Scholar
Siccama, T. G., Botkin, D. B., Bormann, F. H. & Likens, G. E. (1969) Computer simulation of a northern hardwood forest. Bulletin of the Ecological Society of America, 50, 93.Google Scholar
Sitch, S., Smith, B., Prentice, I. C. et al. (2003) Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model. Global Change Biology, 9, 161–185.CrossRefGoogle Scholar
Smith, B., Prentice, I. C. & Sykes, M. T. (2001) Representation of vegetation dynamics in the modelling of terrestrial ecosystems: comparing two contrasting approaches within European climate space. Global Ecology & Biogeography, 10, 621–637.CrossRefGoogle Scholar
Smith, T. M., Leemans, R. & Shugart, H. H. (1992) Sensitivity of terrestrial carbon storage to CO2-induced climate change: Comparison of four scenarios based on general circulation models. Climatic Change, 21, 367–384.CrossRefGoogle Scholar
Solomon, A. M. (1986) Transient response of forests to CO2-induced climate change: simulation modeling experiments in eastern North America. Oecologia, 68, 567–579.CrossRefGoogle ScholarPubMed
Solomon, A. M. & Tharp, M. L. (1985) Simulation experiments with late quaternary carbon storage in mid-latitude forest communities. In The Carbon Cycle and Atmospheric CO2: Natural Variations Archean to Present. Geophysical Monograph Vol. 32 (eds. Sundquist, E. T. & Broecker, W. S.), pp. 235–250. Washington, DC: American Geophysical UnionGoogle Scholar
Wehrli, A., Zingg, A., Bugmann, H. & Huth, A. (2005) Using a forest patch model to predict the dynamics of stand structure in Swiss mountain forests. Forest Ecology and Management, 205, 149–167.CrossRefGoogle Scholar
Weigel, A. P. & Mason, S. J. (2011) The generalized discrimination score for ensemble forecasts. Monthly Weather Review, 139, 3069–3074.CrossRefGoogle Scholar
Wunder, J., Bigler, C., Reineking, B., Fahse, L. & Bugmann, H. (2006) Optimisation of tree mortality models based on growth patterns. Ecological Modelling, 197, 196–206.CrossRefGoogle Scholar

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