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  Understanding the uncertainty in global forest carbon turnover

Pugh, T. A. M., Rademacher, T., Shafer, S. L., Steinkamp, J., Barichivich, J., Beckage, B., Haverd, V., Harper, A., Heinke, J., Nishina, K., Rammig, A., Sato, H., Arneth, A., Hantson, S., Hickler, T., Kautz, M., Quesada, B., Smith, B., Thonicke, K. (2020): Understanding the uncertainty in global forest carbon turnover. - Biogeosciences, 17, 15, 3961-3989.
https://doi.org/10.5194/bg-17-3961-2020

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Pugh, Thomas A. M.1, Autor
Rademacher, Tim1, Autor
Shafer, Sarah L.1, Autor
Steinkamp, Jörg1, Autor
Barichivich, Jonathan 1, Autor
Beckage, Brian 1, Autor
Haverd, Vanessa 1, Autor
Harper, Anna1, Autor
Heinke, Jens2, Autor              
Nishina, Kazuya 1, Autor
Rammig, Anja1, Autor
Sato, Hisashi 1, Autor
Arneth, Almut 1, Autor
Hantson, Stijn 1, Autor
Hickler, Thomas1, Autor
Kautz, Markus1, Autor
Quesada, Benjamin1, Autor
Smith, Benjamin1, Autor
Thonicke, Kirsten2, Autor              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Zusammenfassung: The length of time that carbon remains in forest biomass is one of the largest uncertainties in the global carbon cycle, with both recent historical baselines and future responses to environmental change poorly constrained by available observations. In the absence of large-scale observations, models used for global assessments tend to fall back on simplified assumptions of the turnover rates of biomass and soil carbon pools. In this study, the biomass carbon turnover times calculated by an ensemble of contemporary terrestrial biosphere models (TBMs) are analysed to assess their current capability to accurately estimate biomass carbon turnover times in forests and how these times are anticipated to change in the future. Modelled baseline 1985–2014 global average forest biomass turnover times vary from 12.2 to 23.5 years between TBMs. TBM differences in phenological processes, which control allocation to, and turnover rate of, leaves and fine roots, are as important as tree mortality with regard to explaining the variation in total turnover among TBMs. The different governing mechanisms exhibited by each TBM result in a wide range of plausible turnover time projections for the end of the century. Based on these simulations, it is not possible to draw robust conclusions regarding likely future changes in turnover time, and thus biomass change, for different regions. Both spatial and temporal uncertainty in turnover time are strongly linked to model assumptions concerning plant functional type distributions and their controls. Thirteen model-based hypotheses of controls on turnover time are identified, along with recommendations for pragmatic steps to test them using existing and novel observations. Efforts to resolve uncertainty in turnover time, and thus its impacts on the future evolution of biomass carbon stocks across the world's forests, will need to address both mortality and establishment components of forest demography, as well as allocation of carbon to woody versus non-woody biomass growth.

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 Datum: 2020-06-252020-08
 Publikationsstatus: Final veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: MDB-ID: yes - 3086
PIKDOMAIN: RD2 - Climate Resilience
PIKDOMAIN: RD1 - Earth System Analysis
Organisational keyword: RD2 - Climate Resilience
Organisational keyword: RD1 - Earth System Analysis
DOI: 10.5194/bg-17-3961-2020
Research topic keyword: Ecosystems
Research topic keyword: Climate impacts
Model / method: Model Intercomparison
Regional keyword: Global
Working Group: Ecosystems in Transition
Working Group: Land Use and Resilience
 Art des Abschluß: -

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Titel: Biogeosciences
Genre der Quelle: Zeitschrift, SCI, Scopus, p3, oa
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 17 (15) Artikelnummer: - Start- / Endseite: 3961 - 3989 Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals47
Publisher: Copernicus