Modelling the decadal trend of ecosystem carbon fluxes demonstrates the important role of functional changes in a temperate deciduous forest
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Modelling the decadal trend of ecosystem carbon fluxes demonstrates the important role of functional changes in a temperate deciduous forest. / Wu, J.; Jansson, P. E.; van der Linden, L.; Pilegaard, K.; Beier, C.; Ibrom, A.
In: Ecological Modelling, Vol. 260, 2013, p. 50-61.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Modelling the decadal trend of ecosystem carbon fluxes demonstrates the important role of functional changes in a temperate deciduous forest
AU - Wu, J.
AU - Jansson, P. E.
AU - van der Linden, L.
AU - Pilegaard, K.
AU - Beier, C.
AU - Ibrom, A.
N1 - Funding Information: This work is supported by the EU FP7 project CARBO-Extreme, the DTU Climate Centre and the Danish National project ECOCLIM ( Danish Council for Strategic Research ). We thank two reviewers for their constructive comments on a former version of the manuscript.
PY - 2013
Y1 - 2013
N2 - Temperate forests are globally important carbon sinks and stocks. Trends in net ecosystem exchange have been observed in a Danish beech forest and this trend cannot be entirely attributed to changing climatic drivers. This study sought to clarify the mechanisms responsible for the observed trend, using a dynamic ecosystem model (CoupModel) and model data fusion with multiple constraints and model experiments. Experiments with different validation datasets showed that a multiple constraints model data fusion approach that included the annual tree growth, the seasonal canopy development, the latent and sensible heat fluxes and the CO2 fluxes decreased the parameter uncertainty considerably compared to using CO2 fluxes as validation data alone. The fitted model was able to simulate the observed carbon fluxes well (R2=0.8, mean error=0.1gCm-2d-1) but did not reproduce the decadal (1997-2009) trend in carbon uptake when global parameter estimates were used. Annual parameter estimates were able to reproduce the decadal scale trend; the yearly fitted posterior parameters (e.g. the light use efficiency) indicated a role for changes in the ecosystem functional properties. A possible role for nitrogen demand during mast years is supported by the inter-annual variability in the estimated parameters. The inter-annual variability of photosynthesis parameters was fundamental to the simulation of the trend in carbon fluxes in the investigated beech forest and this demonstrates the importance of functional change in carbon balance.
AB - Temperate forests are globally important carbon sinks and stocks. Trends in net ecosystem exchange have been observed in a Danish beech forest and this trend cannot be entirely attributed to changing climatic drivers. This study sought to clarify the mechanisms responsible for the observed trend, using a dynamic ecosystem model (CoupModel) and model data fusion with multiple constraints and model experiments. Experiments with different validation datasets showed that a multiple constraints model data fusion approach that included the annual tree growth, the seasonal canopy development, the latent and sensible heat fluxes and the CO2 fluxes decreased the parameter uncertainty considerably compared to using CO2 fluxes as validation data alone. The fitted model was able to simulate the observed carbon fluxes well (R2=0.8, mean error=0.1gCm-2d-1) but did not reproduce the decadal (1997-2009) trend in carbon uptake when global parameter estimates were used. Annual parameter estimates were able to reproduce the decadal scale trend; the yearly fitted posterior parameters (e.g. the light use efficiency) indicated a role for changes in the ecosystem functional properties. A possible role for nitrogen demand during mast years is supported by the inter-annual variability in the estimated parameters. The inter-annual variability of photosynthesis parameters was fundamental to the simulation of the trend in carbon fluxes in the investigated beech forest and this demonstrates the importance of functional change in carbon balance.
KW - CoupModel
KW - Functional change
KW - Model data fusion
KW - Multiple constraints approach
KW - Net ecosystem exchange
U2 - 10.1016/j.ecolmodel.2013.03.015
DO - 10.1016/j.ecolmodel.2013.03.015
M3 - Journal article
AN - SCOPUS:84877326823
VL - 260
SP - 50
EP - 61
JO - Ecological Modelling
JF - Ecological Modelling
SN - 0304-3800
ER -
ID: 347405673