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24 - Global Biogeography

from Part V - Terrestrial Plant Ecology

Published online by Cambridge University Press:  05 November 2015

Gordon Bonan
Affiliation:
National Center for Atmospheric Research, Boulder, Colorado
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Summary

Chapter Summary

The structure and composition of vegetation and the functioning of terrestrial ecosystems, which at a local scale are shaped by environmental factors such as temperature and moisture, are also influenced by global climate. This is seen in the biogeography of vegetation and in the global carbon cycle. The geographic distribution of biomes closely correlates with temperature, precipitation, and evapotranspiration, and so, too, do annual net primary production and decomposition rates. Long-term changes in climate alter the biogeography and functioning of Earth's ecosystems. Global models of the terrestrial biosphere provide a quantitative framework to understand planetary ecology and the role of terrestrial ecosystems in the climate system.

Plant Geography

The broad influence of climate on macroscale ecology is evident when the complexity and diversity of terrestrial communities and ecosystems are reduced to a few biomes, or broad classes of vegetation (e.g., forest, grassland, shrubland, or desert). The natural vegetation of Earth has a distinct geographic pattern that corresponds to climate zones (Figure 2.4). The close correspondence between climate zones and biomes is readily apparent because climate zones such as tropical savanna, tropical rainforest, and tundra are named after vegetation (Table 6.1).

Tropical evergreen forests (tropical rainforests) are the dominant vegetation in hot, wet equatorial regions of South America, Africa, Southeast Asia, and Indonesia. In these regions, monthly temperatures are warm year-round, precipitation is abundant, and there is little seasonal variation in temperature or rainfall. Annual production is high. Trees are tall, often higher than 30 m, and form a thick canopy of broadleaf evergreen leaves through which little sunlight penetrates. The warm, wet conditions are optimal for decomposition so that little litter accumulates on the forest floor. Climate corresponds to the tropical rainforest zone (Figure 6.1). In tropical regions that are warm year-round but have a dry season, tropical deciduous forests are common. These drought-deciduous trees lose their leaves during the dry season. They are smaller than their rainforest counterparts and have less dense canopy coverage.

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Ecological Climatology
Concepts and Applications
, pp. 422 - 450
Publisher: Cambridge University Press
Print publication year: 2015

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References

Aber, J. D., Pastor, J., and Melillo, J. M. (1982). Changes in forest canopy structure along a site quality gradient in southern Wisconsin. American Midland Naturalist, 108, 256–265.CrossRefGoogle Scholar
Adair, E. C., Parton, W. J., Del Grosso, S. J., et al. (2008). Simple three-pool model accurately describes patterns of long-term litter decomposition in diverse climates. Global Change Biology, 14, 2636–2660.Google Scholar
Asner, G. P., Scurlock, J. M. O., and Hicke, J. A. (2003). Global synthesis of leaf area index observations: Implications for ecological and remote sensing studies. Global Ecology and Biogeography, 12, 191–205.CrossRefGoogle Scholar
Batjes, N. H. (1996). Total carbon and nitrogen in the soils of the world. European Journal of Soil Science, 47, 151–163.CrossRefGoogle Scholar
Beer, C., Reichstein, M., Tomelleri, E., et al. (2010). Terrestrial gross carbon dioxide uptake: Global distribution and covariation with climate. Science, 329, 834–838.CrossRefGoogle ScholarPubMed
Beerling, D. J., and Osborne, C. P. (2006). The origin of the savanna biome. Global Change Biology, 12, 2023–2031.CrossRefGoogle Scholar
Bonan, G. B. (1990). Carbon and nitrogen cycling in North American boreal forests, I: Litter quality and soil thermal effects in interior Alaska. Biogeochemistry, 10, 1–28.CrossRefGoogle Scholar
Bonan, G. B., and Hayden, B. P. (1990). Using a forest stand simulation model to examine the ecological and climatic significance of the late-Quaternary pine–spruce pollen zone in eastern Virginia, U.S.A.Quaternary Research, 33, 204–218.CrossRefGoogle Scholar
Bonan, G. B., Levis, S., Sitch, S., Vertenstein, M., and Oleson, K. W. (2003). A dynamic global vegetation model for use with climate models: Concepts and description of simulated vegetation dynamics. Global Change Biology, 9, 1543–1566.CrossRefGoogle Scholar
Botkin, D. B. (1993). Forest Dynamics: An Ecological Model. Oxford: Oxford University Press.Google Scholar
Botkin, D. B., Janak, J. F., and Wallis, J. R. (1972). Some ecological consequences of a computer model of forest growth. Journal of Ecology, 60, 849–872.CrossRefGoogle Scholar
Budyko, M. I. (1974). Climate and Life. New York: Academic Press.Google Scholar
Budyko, M. I. (1986). The Evolution of the Biosphere. Dordrecht: Reidel.CrossRefGoogle Scholar
Canadell, J., Jackson, R. B., Ehleringer, J. R., et al. (1996). Maximum rooting depth of vegetation types at the global scale. Oecologia, 108, 583–595.CrossRefGoogle ScholarPubMed
Collatz, G. J., Berry, J. A., and Clark, J. S. (1998). Effects of climate and atmospheric CO2 partial pressure on the global distribution of C4 grasses: Present, past, and future. Oecologia, 114, 441–454.CrossRefGoogle ScholarPubMed
Currie, W. S., Harmon, M. E., Burke, I. C., et al. (2010). Cross-biome transplants of plant litter show decomposition models extend to a broader climatic range but lose predictability at the decadal time scale. Global Change Biology, 16, 1744–1761.Google Scholar
Dai, A., and Fung, I. Y. (1993). Can climate variability contribute to the “missing” CO2 sink?Global Biogeochemical Cycles, 7, 599–609.CrossRefGoogle Scholar
Davis, M. B. (1981). Quaternary history and the stability of forest communities. In Forest Succession: Concepts and Application, ed. West, D. C., Shugart, H. H., and Botkin, D. B.. New York: Springer-Verlag, pp. 132–153.Google Scholar
Davis, M. B., Woods, K. D., Webb, S. L., and Futyma, R. P. (1986). Dispersal versus climate: expansion of Fagus and Tsuga into the Upper Great Lakes region. Vegetatio, 67, 93–103.CrossRefGoogle Scholar
Del Grosso, S., Parton, W., Stohlgren, T., et al. (2008). Global potential net primary production predicted from vegetation class, precipitation, and temperature. Ecology, 89, 2117–2126.CrossRefGoogle ScholarPubMed
Edwards, E. J., Osborne, C. P., Strömberg, C. A. E., et al. (2010). The origins of C4 grasslands: integrating evolutionary and ecosystem science. Science, 328, 587–591.CrossRefGoogle ScholarPubMed
Ehleringer, J. R., Cerling, T. E., and Helliker, B. R. (1997). C4 photosynthesis, atmospheric CO2, and climate. Oecologia, 112, 285–299.CrossRefGoogle ScholarPubMed
Esser, G. (1987). Sensitivity of global carbon pools and fluxes to human and potential climatic impacts. Tellus B, 39, 245–260.CrossRefGoogle Scholar
Friedlingstein, P., Delire, C., Müller, J. F., and Gérard, J. C. (1992). The climate induced variation of the continental biosphere: A model simulation of the last glacial maximum. Geophysical Research Letters, 19, 897–900.CrossRefGoogle Scholar
Gholz, H. L., Wedin, D. A., Smitherman, S. M., Harmon, M. E., and Parton, W. J. (2000). Long-term dynamics of pine and hardwood litter in contrasting environments: Toward a global model of decomposition. Global Change Biology, 6, 751–765.CrossRefGoogle Scholar
Grier, C. C., and Running, S. W. (1977). Leaf area of mature northwestern coniferous forests: Relation to site water balance. Ecology, 58, 893–899.CrossRefGoogle Scholar
Hanson, P. J., Amthor, J. S., Wullschleger, S. D., et al. (2004). Oak forest carbon and water simulations: Model intercomparisons and evaluations against independent data. Ecological Monographs, 74, 443–489.CrossRefGoogle Scholar
Haxeltine, A., and Prentice, I. C. (1996). BIOME3: An equilibrium terrestrial biosphere model based on ecophysiological constraints, resource availability, and competition among plant functional types. Global Biogeochemical Cycles, 10, 693–709.CrossRefGoogle Scholar
Higgins, P. A. T., and Harte, J. (2006). Biophysical and biogeochemical responses to climate change depend on dispersal and migration. BioScience, 56, 407–417.CrossRefGoogle Scholar
Holdridge, L. R. (1967). Life Zone Ecology. San Jose, Costa Rica: Tropical Science Center.Google Scholar
Hugelius, G., Tarnocai, C., Broll, G., et al. (2013). The Northern Circumpolar Soil Carbon Database: Spatially distributed datasets of soil coverage and soil carbon storage in the northern permafrost regions. Earth System Science Data, 5, 3–13.CrossRefGoogle Scholar
Huxman, T. E., Smith, M. D., Fay, P. A., et al. (2004). Convergence across biomes to a common rain-use efficiency. Nature, 429, 651–654.CrossRefGoogle ScholarPubMed
Jackson, R. B., Canadell, J., Ehleringer, J. R., et al. (1996). A global analysis of root distributions for terrestrial biomes. Oecologia, 108, 389–411.CrossRefGoogle ScholarPubMed
Jackson, R. B., Schenk, H. J., Jobbágy, E. G., et al. (2000). Belowground consequences of vegetation change and their treatment in models. Ecological Applications, 10, 470–483.CrossRefGoogle Scholar
Jobbágy, E. G., and Jackson, R. B. (2000). The vertical distribution of soil organic carbon and its relation to climate and vegetation. Ecological Applications, 10, 423–436.CrossRefGoogle Scholar
Jung, M., Reichstein, M., Margolis, H. A., et al. (2011). Global patterns of land–atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations. Journal of Geophysical Research, 116, G00J07, doi:10.1029/2010JG001566.CrossRefGoogle Scholar
Kaplan, J. O., Bigelow, N. H., Prentice, I. C., et al. (2003). Climate change and Arctic ecosystems, 2: Modeling, paleodata-model comparisons, and future projections. Journal of Geophysical Research, 108, 8171, doi:10.1029/2002JD002559.CrossRefGoogle Scholar
Lieth, H. (1975). Modeling the primary productivity of the world. In Primary Productivity of the Biosphere, ed. Lieth, H. and Whittaker, R. H.. New York: Springer-Verlag, pp. 237–263.CrossRefGoogle Scholar
Luo, Y. Q., Randerson, J. T., Abramowitz, G., et al. (2012). A framework for benchmarking land models. Biogeosciences, 9, 3857–3874.CrossRefGoogle Scholar
Matthews, E. (1997). Global litter production, pools, and turnover times: Estimates from measurement data and regression models. Journal of Geophysical Research, 102D, 18771–18800.Google Scholar
McGuire, A. D., Melillo, J. M., Joyce, L. A., et al. (1992). Interactions between carbon and nitrogen dynamics in estimating net primary productivity for potential vegetation in North America. Global Biogeochemical Cycles, 6, 101–124.CrossRefGoogle Scholar
McLachlan, J. S., Clark, J. S., and Manos, P. S. (2005). Molecular indicators of tree migration capacity under rapid climate change. Ecology, 86, 2088–2098.CrossRefGoogle Scholar
Meentemeyer, V. (1978). Macroclimate and lignin control of litter decomposition rates. Ecology, 59, 465–472.CrossRefGoogle Scholar
Melillo, J. M., McGuire, A. D., Kicklighter, D. W., et al. (1993). Global climate change and terrestrial net primary production. Nature, 363, 234–240.CrossRefGoogle Scholar
Monson, R. K., and Collatz, G. J. (2012). The ecophysiology and global biology of C4 photosynthesis. In Terrestrial Photosynthesis in a Changing Environment: A Molecular, Physiological and Ecological Approach, ed. Flexas, J., Loreto, F., and Medrano, H.. Cambridge: Cambridge University Press, pp. 54–70.Google Scholar
Nemani, R. R., and Running, S. W. (1989). Testing a theoretical climate–soil–leaf area hydrologic equilibrium of forests using satellite data and ecosystem simulation. Agricultural and Forest Meteorology, 44, 245–260.CrossRefGoogle Scholar
Nemani, R. R., Keeling, C. D., Hashimoto, H., et al. (2003). Climate-driven increases in global terrestrial net primary production from 1982 to 1999. Science, 300, 1560–1563.CrossRefGoogle ScholarPubMed
Niu, S., Luo, Y., Fei, S., et al. (2012). Thermal optimality of net ecosystem exchange of carbon dioxide and underlying mechanisms. New Phytologist, 194, 775–783.CrossRefGoogle ScholarPubMed
Ordonez, A., and Williams, J. W. (2013). Climatic and biotic velocities for woody taxa distributions over the last 16 000 years in eastern North America. Ecology Letters, 16, 773–781.CrossRefGoogle ScholarPubMed
Overpeck, J. T., Webb, R. S., and Webb, T., III (1992). Mapping eastern North American vegetation change of the past 18 ka: No-analogs and the future. Geology, 20, 1071–1074.2.3.CO;2>CrossRefGoogle Scholar
Pan, Y., Birdsey, R. A., Phillips, O. L., and Jackson, R. B. (2013). The structure, distribution, and biomass of the world's forests. Annual Review of Ecology, Evolution, and Systematics, 44, 593–622.CrossRefGoogle Scholar
Parton, W. J., Schimel, D. S., Cole, C. V., and Ojima, D. S. (1987). Analysis of factors controlling soil organic matter levels in Great Plains grasslands. Soil Science Society of America Journal, 51, 1173–1179.CrossRefGoogle Scholar
Parton, W. J., Stewart, J. W. B., and Cole, C. V. (1988). Dynamics of C, N, P and S in grassland soils: A model. Biogeochemistry, 5, 109–131.CrossRefGoogle Scholar
Parton, W. J., Scurlock, J. M. O., Ojima, D. S., et al. (1993). Observations and modeling of biomass and soil organic matter dynamics for the grassland biome worldwide. Global Biogeochemical Cycles, 7, 785–809.CrossRefGoogle Scholar
Pastor, J., and Post, W. M. (1986). Influence of climate, soil moisture, and succession on forest carbon and nitrogen cycles. Biogeochemistry, 2, 3–27.CrossRefGoogle Scholar
Pastor, J., and Post, W. M. (1988). Response of northern forests to CO2-induced climate change. Nature, 334, 55–58.CrossRefGoogle Scholar
Poorter, H., Niklas, K. J., Reich, P. B., et al. (2012). Biomass allocation to leaves, stems and roots: Meta-analyses of interspecific variation and environmental control. New Phytologist, 193, 30–50.CrossRefGoogle ScholarPubMed
Post, W. M., Emanuel, W. R., Zinke, P. J., and Stangenberger, A. G. (1982). Soil carbon pools and world life zones. Nature, 298, 156–159.CrossRefGoogle Scholar
Post, W. M., King, A. W., and Wullschleger, S. D. (1997). Historical variations in terrestrial biospheric carbon storage. Global Biogeochemical Cycles, 11, 99–109.CrossRefGoogle Scholar
Potter, C. S., Randerson, J. T., Field, C. B., et al. (1993). Terrestrial ecosystem production: A process model based on global satellite and surface data. Global Biogeochemical Cycles, 7, 811–841.CrossRefGoogle Scholar
Prentice, I. C., Cramer, W., Harrison, S. P., et al. (1992). A global biome model based on plant physiology and dominance, soil properties and climate. Journal of Biogeography, 19, 117–134.CrossRefGoogle Scholar
Prentice, I. C., Guiot, J., Huntley, B., Jolly, D., and Cheddadi, R. (1996). Reconstructing biomes from palaeoecological data: A general method and its application to European pollen data at 0 and 6 ka. Climate Dynamics, 12, 185–194.CrossRefGoogle Scholar
Prentice, I. C., Harrison, S. P., Jolly, D., and Guiot, J. (1998). The climate and biomes of Europe at 6000 yr BP: Comparison of model simulations and pollen-based reconstructions. Quaternary Science Reviews, 17, 659–668.Google Scholar
Prentice, I. C., Jolly, D., and BIOME6000 (2000). Mid-Holocene and glacial-maximum vegetation geography of the northern continents and Africa. Journal of Biogeography, 27, 507–519.CrossRefGoogle Scholar
Prentice, I. C., Farquhar, G. D., Fasham, M. J. R., et al. (2001). The carbon cycle and atmospheric carbon dioxide. In Climate Change 2001: The Scientific Basis. Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change, ed. Houghton, J. T., Ding, Y., Griggs, D. J., et al. Cambridge: Cambridge University Press, pp. 183–237.Google Scholar
Prentice, I. C., Bondeau, A., Cramer, W., et al. (2007). Dynamic Global Vegetation Modeling: Quantifying terrestrial ecosystem responses to large-scale environmental change. In Terrestrial Ecosystems in a Changing World, ed. Canadell, J. G., Pataki, D. E., and Pitelka, L. F.. Berlin: Springer, pp. 175–192.Google Scholar
Raich, J. W., Rastetter, E. B., Melillo, J. M., et al. (1991). Potential net primary productivity in South America: Application of a global model. Ecological Applications, 1, 399–429.CrossRefGoogle ScholarPubMed
Randerson, J. T., Thompson, M. V., Malmstrom, C. M., Field, C. B., and Fung, I. Y. (1996). Substrate limitations for heterotrophs: Implications for models that estimate the seasonal cycle of atmospheric CO2. Global Biogeochemical Cycles, 10, 585–602.CrossRefGoogle Scholar
Randerson, J. T., Hoffman, F. M., Thornton, P. E., et al. (2009). Systematic assessment of terrestrial biogeochemistry in coupled climate–carbon models. Global Change Biology, 15, 2462–2484.CrossRefGoogle Scholar
Rosenzweig, M. L. (1968). Net primary productivity of terrestrial communities: Prediction from climatological data. American Naturalist, 102, 67–74.CrossRefGoogle Scholar
Running, S. W., and Coughlan, J. C. (1988). A general model of forest ecosystem processes for regional applications, I: Hydrological balance, canopy gas exchange and primary production processes. Ecological Modelling, 42, 125–154.CrossRefGoogle Scholar
Running, S. W., and Gower, S. T. (1991). FOREST-BGC, a general model of forest ecosystem processes for regional applications, II: Dynamic carbon allocation and nitrogen budgets. Tree Physiology, 9, 147–160.CrossRefGoogle ScholarPubMed
Running, S. W., and Hunt, E. R., Jr. (1993). Generalization of a forest ecosystem process model for other biomes, BIOME-BGC, and an application for global-scale models. In Scaling Physiological Processes: Leaf to Globe, ed. Ehleringer, J. R. and Field, C. B.. New York: Academic Press, pp. 141–158.Google Scholar
Running, S. W., Nemani, R. R., Heinsch, F. A., et al. (2004). A continuous satellite-derived measure of global terrestrial primary production. BioScience, 54, 547–560.CrossRefGoogle Scholar
Saatchi, S. S., Harris, N. L., Brown, S., et al. (2011). Benchmark map of forest carbon stocks in tropical regions across three continents. Proceedings of the National Academy of Sciences USA, 108, 9899–9904.CrossRefGoogle ScholarPubMed
Sage, R. F. (2004). The evolution of C4 photosynthesis. New Phytologist, 161, 341–370.CrossRefGoogle Scholar
Schenk, H. J., and Jackson, R. B. (2002). The global biogeography of roots. Ecological Monographs, 72, 311–328.CrossRefGoogle Scholar
Scurlock, J. M. O., and Olson, R. J. (2002). Terrestrial net primary productivity – a brief history and a new worldwide database. Environmental Reviews, 10, 91–110.CrossRefGoogle Scholar
Shugart, H. H. (1984). A Theory of Forest Dynamics: The Ecological Implications of Forest Succession Models. New York: Springer-Verlag.CrossRefGoogle Scholar
Shugart, H. H., and 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
Simard, M., Pinto, N., Fisher, J. B., and Baccini, A. (2011), Mapping forest canopy height globally with spaceborne lidar. Journal of Geophysical Research, 116, G04021, doi:10.1029/2011JG001708.CrossRefGoogle 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
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., Delcourt, H. R., West, D. C., and Blasing, T. J. (1980). Testing a simulation model for reconstruction of prehistoric forest-stand dynamics. Quaternary Research, 14, 275–293.CrossRefGoogle Scholar
Solomon, A. M., West, D. C., and Solomon, J. A. (1981). Simulating the role of climate change and species immigration in forest succession. In Forest Succession: Concepts and Application, ed. West, D. C., Shugart, H. H., and Botkin, D. B.. New York: Springer-Verlag, pp. 154–177.Google Scholar
Still, C. J., Berry, J. A., Collatz, G. J., and DeFries, R. S. (2003). Global distribution of C3 and C4 vegetation: Carbon cycle implications. Global Biogeochemical Cycles, 17, 1006, doi:10.1029/2001GB001807.CrossRefGoogle Scholar
Tarnocai, C., Canadell, J. G., Schuur, E. A. G., et al. (2009). Soil organic carbon pools in the northern circumpolar permafrost region. Global Biogeochemical Cycles, 23, GB2023, doi:10.1029/2008GB003327.CrossRefGoogle Scholar
TEMPO (1996). Potential role of vegetation feedback in the climate sensitivity of high-latitude regions: A case study at 6000 years B.P. Global Biogeochemical Cycles, 10, 727–736.
Thornthwaite, C. W. (1948). An approach toward a rational classification of climate. Geographical Review, 38, 55–94.CrossRefGoogle Scholar
Thornthwaite, C. W., and Mather, J. R. (1955). The Water Balance, Publications in Climatology Volume 8, Number 1. Centerton, New Jersey: Drexel Institute of Technology.Google Scholar
Thornthwaite, C. W., and Mather, J. R. (1957). Instructions and Tables for Computing Potential Evapotranspiration and the Water Balance, Publications in Climatology Volume 10, Number 3. Centerton, New Jersey: Drexel Institute of Technology.Google Scholar
Thornton, P. E., Law, B. E., Gholz, H. L., et al. (2002). Modeling and measuring the effects of disturbance history and climate on carbon and water budgets in evergreen needleleaf forests. Agricultural and Forest Meteorology, 113, 185–222.CrossRefGoogle Scholar
Thurner, M., Beer, C., Santoro, M., et al. (2014). Carbon stock and density of northern boreal and temperate forests. Global Ecology and Biogeography, 23, 297–310.CrossRefGoogle Scholar
Todd-Brown, K. E. O., Randerson, J. T., Post, W. M., et al. (2013). Causes of variation in soil carbon simulations from CMIP5 Earth system models and comparison with observations. Biogeosciences, 10, 1717–1736.CrossRefGoogle Scholar
Trofymow, J. A., Moore, T. R., Titus, B., et al. (2002). Rates of litter decomposition over 6 years in Canadian forests: Influence of litter quality and climate. Canadian Journal of Forest Research, 32, 789–804.CrossRefGoogle Scholar
Van Minnen, J. G., Leemans, R., and Ihle, F. (2000). Defining the importance of including transient ecosystem responses to simulate C-cycle dynamics in a global change model. Global Change Biology, 6, 595–611.CrossRefGoogle Scholar
Vogt, K. A., Grier, C. C., and Vogt, D. J. (1986). Production, turnover, and nutrient dynamics of above- and belowground detritus of world forests. Advances in Ecological Research, 15, 303–377.Google Scholar
Wang, Y. P., Law, R. M., and Pak, B. (2010). A global model of carbon, nitrogen and phosphorus cycles for the terrestrial biosphere. Biogeosciences, 7, 2261–2282.CrossRefGoogle Scholar
Webb, T., III, Bartlein, P. J., Harrison, S. P., and Anderson, K. H. (1993). Vegetation, lake levels, and climate in eastern North America for the past 18,000 years. In Global Climates since the Last Glacial Maximum, ed. Wright, H. E., Jr., Kutzbach, J. E., Webb, T., III, et al. Minneapolis: University of Minnesota Press, pp. 415–467.Google Scholar
Whittaker, R. H. (1975). Communities and Ecosystems, 2nd ed. New York: MacMillan.Google Scholar
Wieder, W. R., Bonan, G. B., and Allison, S. D. (2013). Global soil carbon projections are improved by modelling microbial processes. Nature Climate Change, 3, 909–912.CrossRefGoogle Scholar
Williams, J. W., Shuman, B. N., and Webb, T., III (2001). Dissimilarity analyses of Late-Quaternary vegetation and climate in eastern North America. Ecology, 82, 3346–3362.Google Scholar
Williams, J. W., Shuman, B. N., Webb, T., III, Bartlein, P. J., and Leduc, P. L. (2004). Late-Quaternary vegetation dynamics in North America: Scaling from taxa to biomes. Ecological Monographs, 74, 309–334.CrossRefGoogle Scholar
Williams, J. W., Jackson, S. T., and Kutzbach, J. E. (2007). Projected distributions of novel and disappearing climates by 2100 AD. Proceedings of the National Academy of Sciences USA, 104, 5738–5742.CrossRefGoogle ScholarPubMed
Woodward, F. I. (1987). Climate and Plant Distribution. Cambridge: Cambridge University Press.Google Scholar
Woodward, F. I. (1993). Leaf responses to the environment and extrapolation to larger scales. In Vegetation Dynamics and Global Change, ed. Solomon, A. M. and Shugart, H. H.. New York: Chapman and Hall, pp. 71–100.Google Scholar
Yi, C., Ricciuto, D., Li, R., et al. (2010). Climate control of terrestrial carbon exchange across biomes and continents. Environmental Research Letters, 5, 034007, doi:10.1088/1748–9326/5/3/034007.CrossRefGoogle Scholar
Zhao, M., Heinsch, F. A., Nemani, R. R., and Running, S. W. (2005). Improvements of the MODIS terrestrial gross and net primary production global data set. Remote Sensing of Environment, 95, 164–176.CrossRefGoogle Scholar

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  • Global Biogeography
  • Gordon Bonan, National Center for Atmospheric Research, Boulder, Colorado
  • Book: Ecological Climatology
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  • Global Biogeography
  • Gordon Bonan, National Center for Atmospheric Research, Boulder, Colorado
  • Book: Ecological Climatology
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  • Chapter DOI: https://doi.org/10.1017/CBO9781107339200.025
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  • Global Biogeography
  • Gordon Bonan, National Center for Atmospheric Research, Boulder, Colorado
  • Book: Ecological Climatology
  • Online publication: 05 November 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781107339200.025
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