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.

Data sets

The Duke FACE study H. R. McCarthy, R. Oren,K. H. Johnsen, A. Gallet-Budynek, S. G. Pritchard, C. W. Cook, S. L. LaDeau, R. B. Jackson, and A. C. Finzi

The PINEMAP studies Terrestrial Carbon (TerraC) Information System

The US-DK3 eddy-flux tower data Ameriflux database

SSURGO soils database USDA

The Waycross data C. Bryars, C. Maier, D. Zhao, M. Kane, B. Borders, R. Will,and R. Teskey

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