Quantifying the effect of forest age in annual net forest carbon balance
Simon Besnard, Nuno Carvalhais, M. Altaf Arain, T. Andrew Black, Sytze de Bruin, Nina Buchmann, Alessandro Cescatti, Jiquan Chen, J.G.P.W. Clevers, Ankur R. Desai, Christopher M. Gough, Kateřina Havránková, Martin Herold, Lukas Hörtnagl, Martin Jung, Alexander Knohl, Bart Kruijt, Lenka Krupková, B. E. Law, Anders Lindroth, Asko Noormets, Olivier Roupsard, R. Steinbrecher, Andrej Varlagin, Caroline Vincke, Markus Reichstein
Abstract
Forests dominate carbon (C) exchanges between the terrestrial biosphere and the atmosphere on land. In the long term, the net carbon flux between forests and the atmosphere has been significantly impacted by changes in forest cover area and structure due to ecological disturbances and management activities. Current empirical approaches for estimating net ecosystem productivity (NEP) rarely consider forest age as a predictor, which represents variation in physiological processes that can respond differently to environmental drivers, and regrowth following disturbance. Here, we conduct an observational synthesis to empirically determine to what extent climate, soil properties, nitrogen deposition, forest age and management influence the spatial and interannual variability of forest NEP across 126 forest eddy-covariance flux sites worldwide. The empirical models explained up to 62% and 71% of spatio-temporal and across-site variability of annual NEP, respectively. An investigation of model structures revealed that forest age was a dominant factor of NEP spatio-temporal variability in both space and time at the global scale as compared to abiotic factors, such as nutrient availability, soil characteristics and climate. These findings emphasize the importance of forest age in quantifying spatio-temporal variation in NEP using empirical approaches.- Cite:
- Simon Besnard, Nuno Carvalhais, M. Altaf Arain, T. Andrew Black, Sytze de Bruin, Nina Buchmann, Alessandro Cescatti, Jiquan Chen, J.G.P.W. Clevers, Ankur R. Desai, Christopher M. Gough, Kateřina Havránková, Martin Herold, Lukas Hörtnagl, Martin Jung, Alexander Knohl, Bart Kruijt, Lenka Krupková, B. E. Law, et al.. 2018. Quantifying the effect of forest age in annual net forest carbon balance. Environmental Research Letters, Volume 13, Issue 12, 13(12):124018.
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@article{Besnard-2018-Quantifying, title = "Quantifying the effect of forest age in annual net forest carbon balance", author = {Besnard, Simon and Carvalhais, Nuno and Arain, M. Altaf and Black, T. Andrew and Bruin, Sytze de and Buchmann, Nina and Cescatti, Alessandro and Chen, Jiquan and Clevers, J.G.P.W. and Desai, Ankur R. and Gough, Christopher M. and Havr{\'a}nkov{\'a}, Kate{\v{r}}ina and Herold, Martin and H{\"o}rtnagl, Lukas and Jung, Martin and Knohl, Alexander and Kruijt, Bart and Krupkov{\'a}, Lenka and Law, B. E. and Lindroth, Anders and Noormets, Asko and Roupsard, Olivier and Steinbrecher, R. and Varlagin, Andrej and Vincke, Caroline and Reichstein, Markus}, journal = "Environmental Research Letters, Volume 13, Issue 12", volume = "13", number = "12", year = "2018", publisher = "IOP Publishing", url = "https://gwf-uwaterloo.github.io/gwf-publications/G18-16001", doi = "10.1088/1748-9326/aaeaeb", pages = "124018", abstract = "Forests dominate carbon (C) exchanges between the terrestrial biosphere and the atmosphere on land. In the long term, the net carbon flux between forests and the atmosphere has been significantly impacted by changes in forest cover area and structure due to ecological disturbances and management activities. Current empirical approaches for estimating net ecosystem productivity (NEP) rarely consider forest age as a predictor, which represents variation in physiological processes that can respond differently to environmental drivers, and regrowth following disturbance. Here, we conduct an observational synthesis to empirically determine to what extent climate, soil properties, nitrogen deposition, forest age and management influence the spatial and interannual variability of forest NEP across 126 forest eddy-covariance flux sites worldwide. The empirical models explained up to 62{\%} and 71{\%} of spatio-temporal and across-site variability of annual NEP, respectively. An investigation of model structures revealed that forest age was a dominant factor of NEP spatio-temporal variability in both space and time at the global scale as compared to abiotic factors, such as nutrient availability, soil characteristics and climate. These findings emphasize the importance of forest age in quantifying spatio-temporal variation in NEP using empirical approaches.", }
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<genre authority="marcgt">periodical</genre> <genre authority="bibutilsgt">academic journal</genre> </relatedItem> <abstract>Forests dominate carbon (C) exchanges between the terrestrial biosphere and the atmosphere on land. In the long term, the net carbon flux between forests and the atmosphere has been significantly impacted by changes in forest cover area and structure due to ecological disturbances and management activities. Current empirical approaches for estimating net ecosystem productivity (NEP) rarely consider forest age as a predictor, which represents variation in physiological processes that can respond differently to environmental drivers, and regrowth following disturbance. Here, we conduct an observational synthesis to empirically determine to what extent climate, soil properties, nitrogen deposition, forest age and management influence the spatial and interannual variability of forest NEP across 126 forest eddy-covariance flux sites worldwide. The empirical models explained up to 62% and 71% of spatio-temporal and across-site variability of annual NEP, respectively. An investigation of model structures revealed that forest age was a dominant factor of NEP spatio-temporal variability in both space and time at the global scale as compared to abiotic factors, such as nutrient availability, soil characteristics and climate. These findings emphasize the importance of forest age in quantifying spatio-temporal variation in NEP using empirical approaches.</abstract> <identifier type="citekey">Besnard-2018-Quantifying</identifier> <identifier type="doi">10.1088/1748-9326/aaeaeb</identifier> <location> <url>https://gwf-uwaterloo.github.io/gwf-publications/G18-16001</url> </location> <part> <date>2018</date> <detail type="volume"><number>13</number></detail> <detail type="issue"><number>12</number></detail> <detail type="page"><number>124018</number></detail> </part> </mods> </modsCollection>
%0 Journal Article %T Quantifying the effect of forest age in annual net forest carbon balance %A Besnard, Simon %A Carvalhais, Nuno %A Arain, M. Altaf %A Black, T. Andrew %A Bruin, Sytze de %A Buchmann, Nina %A Cescatti, Alessandro %A Chen, Jiquan %A Clevers, J. G. P. W. %A Desai, Ankur R. %A Gough, Christopher M. %A Havránková, Kateřina %A Herold, Martin %A Hörtnagl, Lukas %A Jung, Martin %A Knohl, Alexander %A Kruijt, Bart %A Krupková, Lenka %A Law, B. E. %A Lindroth, Anders %A Noormets, Asko %A Roupsard, Olivier %A Steinbrecher, R. %A Varlagin, Andrej %A Vincke, Caroline %A Reichstein, Markus %J Environmental Research Letters, Volume 13, Issue 12 %D 2018 %V 13 %N 12 %I IOP Publishing %F Besnard-2018-Quantifying %X Forests dominate carbon (C) exchanges between the terrestrial biosphere and the atmosphere on land. In the long term, the net carbon flux between forests and the atmosphere has been significantly impacted by changes in forest cover area and structure due to ecological disturbances and management activities. Current empirical approaches for estimating net ecosystem productivity (NEP) rarely consider forest age as a predictor, which represents variation in physiological processes that can respond differently to environmental drivers, and regrowth following disturbance. Here, we conduct an observational synthesis to empirically determine to what extent climate, soil properties, nitrogen deposition, forest age and management influence the spatial and interannual variability of forest NEP across 126 forest eddy-covariance flux sites worldwide. The empirical models explained up to 62% and 71% of spatio-temporal and across-site variability of annual NEP, respectively. An investigation of model structures revealed that forest age was a dominant factor of NEP spatio-temporal variability in both space and time at the global scale as compared to abiotic factors, such as nutrient availability, soil characteristics and climate. These findings emphasize the importance of forest age in quantifying spatio-temporal variation in NEP using empirical approaches. %R 10.1088/1748-9326/aaeaeb %U https://gwf-uwaterloo.github.io/gwf-publications/G18-16001 %U https://doi.org/10.1088/1748-9326/aaeaeb %P 124018
Markdown (Informal)
[Quantifying the effect of forest age in annual net forest carbon balance](https://gwf-uwaterloo.github.io/gwf-publications/G18-16001) (Besnard et al., GWF 2018)
- Quantifying the effect of forest age in annual net forest carbon balance (Besnard et al., GWF 2018)
ACL
- Simon Besnard, Nuno Carvalhais, M. Altaf Arain, T. Andrew Black, Sytze de Bruin, Nina Buchmann, Alessandro Cescatti, Jiquan Chen, J.G.P.W. Clevers, Ankur R. Desai, Christopher M. Gough, Kateřina Havránková, Martin Herold, Lukas Hörtnagl, Martin Jung, Alexander Knohl, Bart Kruijt, Lenka Krupková, B. E. Law, et al.. 2018. Quantifying the effect of forest age in annual net forest carbon balance. Environmental Research Letters, Volume 13, Issue 12, 13(12):124018.