Articles | Volume 14, issue 14
https://doi.org/10.5194/bg-14-3525-2017
https://doi.org/10.5194/bg-14-3525-2017
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, Evan B. Brooks, Annika L. Jersild, Eric J. Ward, Randolph H. Wynne, Timothy J. Albaugh, Heather Dinon-Aldridge, Harold E. Burkhart, Jean-Christophe Domec, Thomas R. Fox, Carlos A. Gonzalez-Benecke, Timothy A. Martin, Asko Noormets, David A. Sampson, and Robert O. Teskey

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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, https://doi.org/10.1002/joc.3413, 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, https://doi.org/10.3390/f6082799, 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, https://doi.org/10.1016/j.foreco.2004.01.002, 2004.
Albaugh, T. J., Allen, H. L., and Kress, L. W.: Root and stem partitioning of Pinus taeda, Trees, 20, 176–185, https://doi.org/10.1007/s00468-005-0024-4, 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, https://doi.org/10.1016/j.foreco.2016.05.031, 2016.
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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.
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