Assessing the representation of the Australian carbon cycle in global vegetation models
Abstract
Australia plays an important role in the global terrestrial carbon cycle on inter-annual timescales. While the Australian continent is included in global assessments of the carbon cycle such as the global carbon budget, the performance of dynamic global vegetation models (DGVMs) over Australia has rarely been evaluated. We assessed simulations of net biome production (NBP) and the carbon stored in vegetation between 1901 to 2018 from 13 DGVMs (TRENDY v8 ensemble). We focused our analysis on Australia's short-term (inter-annual) and long-term (decadal to centennial) terrestrial carbon dynamics. The TRENDY models simulated differing magnitudes of NBP on inter-annual timescales, and these differences resulted in significant differences in long-term vegetation carbon accumulation (–4.7 to 9.5 Pg C). We compared the TRENDY ensemble to several satellite-derived datasets and showed that the spread in the models' simulated carbon storage resulted from varying changes in carbon residence time rather than differences in net carbon uptake. Differences in simulated long-term accumulated NBP between models were mostly due to model responses to land-use change. The DGVMs also simulated different sensitivities to atmospheric carbon dioxide (CO2) concentration, although notably, the models with nutrient cycles did not simulate the smallest NBP response to CO2. Our results suggest that amore »
- Authors:
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[1];
[2];
[3];
[5];
[7];
[8];
[10];
[11];
[12];
[13];
[15];
[16]
- ARC Centre of Excellence for Climate Extremes, Sydney (Australia); Univ. of New South Wales, Sydney, NSW (Australia)
- Univ. of Bristol (United Kingdom); ARC Centre of Excellence for Climate Extremes, Sydney (Australia); Univ. of New South Wales, Sydney, NSW (Australia)
- Univ. Paris Saclay, Gif sur Yvette (France)
- CSIRO Oceans and Atmosphere, Canberra (Australia)
- Univ. of Illinois, Urbana, IL (United States)
- Univ. de Toulouse (France)
- Inst. of Applied Energy (IAE), Tokyo (Japan)
- Univ. of Bern (Switzerland)
- National Center for Atmospheric Research (NCAR), Boulder, CO (United States)
- Univ. of Reading (United Kingdom)
- Environment and Climate Change Canada, Victoria (Canada)
- Max Planck Inst. for Meteorology, Hamburg (Germany); Max Planck Inst. for Biogeochemistry, Jena (Germany)
- Max Planck Inst. for Meteorology, Hamburg (Germany); LMU, Munich (Germany)
- Univ. of Exeter (United Kingdom)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Max Planck Inst. for Biogeochemistry, Jena (Germany)
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1840148
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Biogeosciences (Online)
- Additional Journal Information:
- Journal Name: Biogeosciences (Online); Journal Volume: 18; Journal Issue: 20; Journal ID: ISSN 1726-4189
- Publisher:
- Copernicus Publications, EGU
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES
Citation Formats
Teckentrup, Lina, De Kauwe, Martin G., Pitman, Andrew J., Goll, Daniel S., Haverd, Vanessa, Jain, Atul K., Joetzjer, Emilie, Kato, Etsushi, Lienert, Sebastian, Lombardozzi, Danica, McGuire, Patrick C., Melton, Joe R., Nabel, Julia E. M. S., Pongratz, Julia, Sitch, Stephen, Walker, Anthony P., and Zaehle, Sönke. Assessing the representation of the Australian carbon cycle in global vegetation models. United States: N. p., 2021.
Web. doi:10.5194/bg-18-5639-2021.
Teckentrup, Lina, De Kauwe, Martin G., Pitman, Andrew J., Goll, Daniel S., Haverd, Vanessa, Jain, Atul K., Joetzjer, Emilie, Kato, Etsushi, Lienert, Sebastian, Lombardozzi, Danica, McGuire, Patrick C., Melton, Joe R., Nabel, Julia E. M. S., Pongratz, Julia, Sitch, Stephen, Walker, Anthony P., & Zaehle, Sönke. Assessing the representation of the Australian carbon cycle in global vegetation models. United States. https://doi.org/10.5194/bg-18-5639-2021
Teckentrup, Lina, De Kauwe, Martin G., Pitman, Andrew J., Goll, Daniel S., Haverd, Vanessa, Jain, Atul K., Joetzjer, Emilie, Kato, Etsushi, Lienert, Sebastian, Lombardozzi, Danica, McGuire, Patrick C., Melton, Joe R., Nabel, Julia E. M. S., Pongratz, Julia, Sitch, Stephen, Walker, Anthony P., and Zaehle, Sönke. Wed .
"Assessing the representation of the Australian carbon cycle in global vegetation models". United States. https://doi.org/10.5194/bg-18-5639-2021. https://www.osti.gov/servlets/purl/1840148.
@article{osti_1840148,
title = {Assessing the representation of the Australian carbon cycle in global vegetation models},
author = {Teckentrup, Lina and De Kauwe, Martin G. and Pitman, Andrew J. and Goll, Daniel S. and Haverd, Vanessa and Jain, Atul K. and Joetzjer, Emilie and Kato, Etsushi and Lienert, Sebastian and Lombardozzi, Danica and McGuire, Patrick C. and Melton, Joe R. and Nabel, Julia E. M. S. and Pongratz, Julia and Sitch, Stephen and Walker, Anthony P. and Zaehle, Sönke},
abstractNote = {Australia plays an important role in the global terrestrial carbon cycle on inter-annual timescales. While the Australian continent is included in global assessments of the carbon cycle such as the global carbon budget, the performance of dynamic global vegetation models (DGVMs) over Australia has rarely been evaluated. We assessed simulations of net biome production (NBP) and the carbon stored in vegetation between 1901 to 2018 from 13 DGVMs (TRENDY v8 ensemble). We focused our analysis on Australia's short-term (inter-annual) and long-term (decadal to centennial) terrestrial carbon dynamics. The TRENDY models simulated differing magnitudes of NBP on inter-annual timescales, and these differences resulted in significant differences in long-term vegetation carbon accumulation (–4.7 to 9.5 Pg C). We compared the TRENDY ensemble to several satellite-derived datasets and showed that the spread in the models' simulated carbon storage resulted from varying changes in carbon residence time rather than differences in net carbon uptake. Differences in simulated long-term accumulated NBP between models were mostly due to model responses to land-use change. The DGVMs also simulated different sensitivities to atmospheric carbon dioxide (CO2) concentration, although notably, the models with nutrient cycles did not simulate the smallest NBP response to CO2. Our results suggest that a change in the climate forcing did not have a large impact on the carbon cycle on long timescales. However, the inter-annual variability in precipitation drives the year-to-year variability in NBP. We analysed the impact of key modes of climate variability, including the El Niño–Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD), on NBP. While the DGVMs agreed on sign of the response of NBP to El Niño and La Niña and to positive and negative IOD events, the magnitude of inter-annual variability in NBP differed strongly between models. In addition, we find that differences in the timing of simulated phenology and fire dynamics are associated with differences in simulated or prescribed vegetation cover and process representation. We further find model disagreement in simulated vegetation carbon, phenology, and apparent carbon residence time, indicating that the models have different types and coverage of vegetation across Australia (whether prescribed or emergent). Our study highlights the need to evaluate parameter assumptions and the key processes that drive vegetation dynamics, such as phenology, mortality, and fire, in an Australian context to reduce uncertainty across models.},
doi = {10.5194/bg-18-5639-2021},
journal = {Biogeosciences (Online)},
number = 20,
volume = 18,
place = {United States},
year = {Wed Oct 20 00:00:00 EDT 2021},
month = {Wed Oct 20 00:00:00 EDT 2021}
}
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