Articles | Volume 12, issue 20
Biogeosciences, 12, 6205–6217, 2015
https://doi.org/10.5194/bg-12-6205-2015
Biogeosciences, 12, 6205–6217, 2015
https://doi.org/10.5194/bg-12-6205-2015

Research article 29 Oct 2015

Research article | 29 Oct 2015

Influence of wood density in tree-ring-based annual productivity assessments and its errors in Norway spruce

O. Bouriaud et al.

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Cited articles

Anthoni, P. M., Knohl, A., Rebmann, C., Freibauer, A., Mund, M., Ziegler, W., Kolle, O., and Schulze, E.D.: Forest and agricultural land use dependent CO2 exchange in Thuringia, Germany, Glob. Change Biol., 10, 2005–2019, 2004.
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Babst, F., Bouriaud, O., Papale, D., Gielen, B., Janssens, I.A., Nikinmaa, E., Ibrom, A., Wu, K., Bernhofer, C., Köstner, B., Grünwald, T., and Frank, D.: Above-ground woody carbon sequestration measured from tree rings is coherent with net ecosystem productivity at five eddy-covariance sites, New Phytol., 201, 1289–1303, https://doi.org/10.1111/nph.12589, 2014a.
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Annual variations in wood density partially compensated ring-width variations in Picea abies. If neglected, annual biomass increment was underestimated by up to 15%. The relative prediction interval of plot-level annual biomass increment ranged from 20 to 40%. The uncertainty related to the allometric models parameters was only about 10%. The errors related to variations in wood density were much larger, the biggest component being the variability between trees.
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