Articles | Volume 14, issue 14
Biogeosciences, 14, 3525–3547, 2017
Biogeosciences, 14, 3525–3547, 2017
Research article
26 Jul 2017
Research article | 26 Jul 2017

Leveraging 35 years of Pinus taeda research in the southeastern US to constrain forest carbon cycle predictions: regional data assimilation using ecosystem experiments

R. Quinn Thomas et al.

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Cited articles

Abatzoglou, J. T.: Development of gridded surface meteorological data for ecological applications and modelling, Int. J. Climatol., 33, 121–131,, 2013.
Albaugh, T., Fox, T., Allen, H., and Rubilar, R.: Juvenile southern pine response to fertilization is influenced by soil drainage and texture, Forests, 6, 2799–2819,, 2015.
Albaugh, T. J., Lee Allen, H., Dougherty, P. M., and Johnsen, K. H.: Long term growth responses of loblolly pine to optimal nutrient and water resource availability, Forest Ecol. Manag., 192, 3–19,, 2004.
Albaugh, T. J., Allen, H. L., and Kress, L. W.: Root and stem partitioning of Pinus taeda, Trees, 20, 176–185,, 2005.
Albaugh, T. J., Albaugh, J. M., Fox, T. R., Allen, H. L., Rubilar, R. A., Trichet, P., Loustau, D., and Linder, S.: Tamm Review: Light use efficiency and carbon storage in nutrient and water experiments on major forest plantation species, Forest Ecol. Manag., 376, 333–342,, 2016.
Short summary
To improve predictions of future forest productivity, we introduce an analytical approach that uses data from numerous research experiments that have occurred across the southeastern US to calibrate a mathematical forest model and estimate uncertainty in predictions. As a result, predictions using the model are consistent with a rich history of forest research in a region that supplies a large fraction of wood products to the world.
Final-revised paper