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Predicting how forest carbon cycling will change in response to climate change and management depends on the collective knowledge from measurements across environmental gradients, ecosystem manipulations of global change factors,

Predicting how forest carbon cycling will change in response to climate change and management depends on the collective knowledge from measurements across environmental gradients, ecosystem manipulations of global change factors, and mathematical models. Formally integrating these sources of knowledge through data assimilation, or model–data fusion, allows the use of past observations to constrain model parameters and estimate prediction uncertainty.

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    Date Created
    • 2017-07-26
    Resource Type
  • Text
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    Identifier
    • Digital object identifier: 10.5194/bg-14-3525-2017
    • Identifier Type
      International standard serial number
      Identifier Value
      1726-4170
    • Identifier Type
      International standard serial number
      Identifier Value
      1726-4189
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    Thomas, R. Q., Brooks, E. B., Jersild, A. L., Ward, E. J., Wynne, R. H., Albaugh, T. J., . . . Teskey, R. O. (2017). Leveraging 35 years of Pinus taeda research in the southeastern US to constrain forest carbon cycle predictions: regional data assimilation using ecosystem experiments. Biogeosciences, 14(14), 3525-3547. doi:10.5194/bg-14-3525-2017

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