Articles | Volume 14, issue 18
https://doi.org/10.5194/bg-14-4023-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-14-4023-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
15 Sep 2017
Research article |
| 15 Sep 2017
Modelling past, present and future peatland carbon accumulation across the pan-Arctic region
Department of Physical Geography and Ecosystem Science, Lund University,
Sölvegatan 12, 223 62 Lund, Sweden
Paul A. Miller
Department of Physical Geography and Ecosystem Science, Lund University,
Sölvegatan 12, 223 62 Lund, Sweden
Benjamin Smith
Department of Physical Geography and Ecosystem Science, Lund University,
Sölvegatan 12, 223 62 Lund, Sweden
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Wenli Wang, Annette Rinke, John C. Moore, Duoying Ji, Xuefeng Cui, Shushi Peng, David M. Lawrence, A. David McGuire, Eleanor J. Burke, Xiaodong Chen, Bertrand Decharme, Charles Koven, Andrew MacDougall, Kazuyuki Saito, Wenxin Zhang, Ramdane Alkama, Theodore J. Bohn, Philippe Ciais, Christine Delire, Isabelle Gouttevin, Tomohiro Hajima, Gerhard Krinner, Dennis P. Lettenmaier, Paul A. Miller, Benjamin Smith, Tetsuo Sueyoshi, and Artem B. Sherstiukov
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S. Peng, P. Ciais, G. Krinner, T. Wang, I. Gouttevin, A. D. McGuire, D. Lawrence, E. Burke, X. Chen, B. Decharme, C. Koven, A. MacDougall, A. Rinke, K. Saito, W. Zhang, R. Alkama, T. J. Bohn, C. Delire, T. Hajima, D. Ji, D. P. Lettenmaier, P. A. Miller, J. C. Moore, B. Smith, and T. Sueyoshi
The Cryosphere, 10, 179–192, https://doi.org/10.5194/tc-10-179-2016, https://doi.org/10.5194/tc-10-179-2016, 2016
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Soil temperature change is a key indicator of the dynamics of permafrost. Using nine process-based ecosystem models with permafrost processes, a large spread of soil temperature trends across the models. Air temperature and longwave downward radiation are the main drivers of soil temperature trends. Based on an emerging observation constraint method, the total boreal near-surface permafrost area decrease comprised between 39 ± 14 × 103 and 75 ± 14 × 103 km2 yr−1 from 1960 to 2000.
M. A. Rawlins, A. D. McGuire, J. S. Kimball, P. Dass, D. Lawrence, E. Burke, X. Chen, C. Delire, C. Koven, A. MacDougall, S. Peng, A. Rinke, K. Saito, W. Zhang, R. Alkama, T. J. Bohn, P. Ciais, B. Decharme, I. Gouttevin, T. Hajima, D. Ji, G. Krinner, D. P. Lettenmaier, P. Miller, J. C. Moore, B. Smith, and T. Sueyoshi
Biogeosciences, 12, 4385–4405, https://doi.org/10.5194/bg-12-4385-2015, https://doi.org/10.5194/bg-12-4385-2015, 2015
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We used outputs from nine models to better understand land-atmosphere CO2 exchanges across Northern Eurasia over the period 1960-1990. Model estimates were assessed against independent ground and satellite measurements. We find that the models show a weakening of the CO2 sink over time; the models tend to overestimate respiration, causing an underestimate in NEP; the model range in regional NEP is twice the multimodel mean. Residence time for soil carbon decreased, amid a gain in carbon storage.
A. Ekici, S. Chadburn, N. Chaudhary, L. H. Hajdu, A. Marmy, S. Peng, J. Boike, E. Burke, A. D. Friend, C. Hauck, G. Krinner, M. Langer, P. A. Miller, and C. Beer
The Cryosphere, 9, 1343–1361, https://doi.org/10.5194/tc-9-1343-2015, https://doi.org/10.5194/tc-9-1343-2015, 2015
Short summary
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This paper compares the performance of different land models in estimating soil thermal regimes at distinct cold region landscape types. Comparing models with different processes reveal the importance of surface insulation (snow/moss layer) and soil internal processes (heat/water transfer). The importance of model processes also depend on site conditions such as high/low snow cover, dry/wet soil types.
J. Tang, P. A. Miller, A. Persson, D. Olefeldt, P. Pilesjö, M. Heliasz, M. Jackowicz-Korczynski, Z. Yang, B. Smith, T. V. Callaghan, and T. R. Christensen
Biogeosciences, 12, 2791–2808, https://doi.org/10.5194/bg-12-2791-2015, https://doi.org/10.5194/bg-12-2791-2015, 2015
W. Zhang, C. Jansson, P. A. Miller, B. Smith, and P. Samuelsson
Biogeosciences, 11, 5503–5519, https://doi.org/10.5194/bg-11-5503-2014, https://doi.org/10.5194/bg-11-5503-2014, 2014
A. Arneth, S. Olin, R. Makkonen, P. Paasonen, T. Holst, M. Kajos, M. Kulmala, T. Maximov, P. A. Miller, and G. Schurgers
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acpd-14-19149-2014, https://doi.org/10.5194/acpd-14-19149-2014, 2014
Revised manuscript not accepted
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Titta Majasalmi, Stephanie Eisner, Rasmus Astrup, Jonas Fridman, and Ryan M. Bright
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Forest management shapes forest structure and in turn surface–atmosphere interactions. We used Fennoscandian forest maps and inventory data to develop a classification system for forest structure. The classification was integrated with the ESA Climate Change Initiative land cover map to achieve complete surface representation. The result is an improved product for modeling surface–atmosphere exchanges in regions with intensively managed forests.
Anna T. Trugman, David Medvigy, William A. Hoffmann, and Adam F. A. Pellegrini
Biogeosciences, 15, 233–243, https://doi.org/10.5194/bg-15-233-2018, https://doi.org/10.5194/bg-15-233-2018, 2018
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Tree fire tolerance strategies may significantly impact woody carbon stability and the existence of tropical savannas under global climate change. We used a numerical ecosystem model to test the impacts of fire survival strategy under differing fire and rainfall regimes. We found that the high survival rate of large fire-tolerant trees reduced carbon losses with increasing fire frequency, and reduced the range of conditions leading to either complete tree loss or complete grass loss.
Giovanni De Falco, Emanuela Molinaroli, Alessandro Conforti, Simone Simeone, and Renato Tonielli
Biogeosciences, 14, 3191–3205, https://doi.org/10.5194/bg-14-3191-2017, https://doi.org/10.5194/bg-14-3191-2017, 2017
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This study quantifies the contribution of carbonate sediments, produced in seagrass meadows and in photophilic algal communities, to the sediment budget of a beach–dune system. The contribution to the beach sediment budget represents a further ecosystem service provided by seagrass. The dependence of the beach sediment budget on carbonate production associated with coastal ecosystems has implications for the adaptation of carbonate beaches to the seagrass decline and sea level rise.
Nitin Chaudhary, Paul A. Miller, and Benjamin Smith
Biogeosciences, 14, 2571–2596, https://doi.org/10.5194/bg-14-2571-2017, https://doi.org/10.5194/bg-14-2571-2017, 2017
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We incorporated peatland dynamics into
Arcticversion of dynamic vegetation model LPJ-GUESS to understand the long-term evolution of northern peatlands and effects of climate change on peatland carbon balance. We found that the Stordalen mire may be expected to sequester more carbon before 2050 due to milder and wetter climate conditions, a longer growing season and CO2 fertilization effect, turning into a C source after 2050 because of higher decomposition rates in response to warming soils.
Maria Stergiadi, Marcel van der Perk, Ton C. M. de Nijs, and Marc F. P. Bierkens
Biogeosciences, 13, 1519–1536, https://doi.org/10.5194/bg-13-1519-2016, https://doi.org/10.5194/bg-13-1519-2016, 2016
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We modelled the effects of changes in climate and land management on soil organic carbon (SOC) and dissolved organic carbon (DOC) levels in sandy and loamy soils under forest, grassland, and arable land. Climate change causes a decrease in both SOC and DOC for the agricultural systems, whereas for the forest systems, SOC slightly increases. A reduction in fertilizer application leads to a decrease in SOC and DOC levels under arable land but has a negligible effect under grassland.
S. S. Rabin, B. I. Magi, E. Shevliakova, and S. W. Pacala
Biogeosciences, 12, 6591–6604, https://doi.org/10.5194/bg-12-6591-2015, https://doi.org/10.5194/bg-12-6591-2015, 2015
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People worldwide use fire to manage agriculture, but often also suppress fire in the landscape surrounding their fields. Here, we estimate the net result of these effects of cropland and pasture on fire at a regional, monthly level. Pasture is shown, for the first time, to contribute strongly to global patterns of burning. Our results could be used to improve representations of burning in global vegetation and climate models, improving our understanding of how people affect the Earth system.
Y. Le Page, D. Morton, B. Bond-Lamberty, J. M. C. Pereira, and G. Hurtt
Biogeosciences, 12, 887–903, https://doi.org/10.5194/bg-12-887-2015, https://doi.org/10.5194/bg-12-887-2015, 2015
W. Knorr, T. Kaminski, A. Arneth, and U. Weber
Biogeosciences, 11, 1085–1102, https://doi.org/10.5194/bg-11-1085-2014, https://doi.org/10.5194/bg-11-1085-2014, 2014
A. M. Foley, D. Dalmonech, A. D. Friend, F. Aires, A. T. Archibald, P. Bartlein, L. Bopp, J. Chappellaz, P. Cox, N. R. Edwards, G. Feulner, P. Friedlingstein, S. P. Harrison, P. O. Hopcroft, C. D. Jones, J. Kolassa, J. G. Levine, I. C. Prentice, J. Pyle, N. Vázquez Riveiros, E. W. Wolff, and S. Zaehle
Biogeosciences, 10, 8305–8328, https://doi.org/10.5194/bg-10-8305-2013, https://doi.org/10.5194/bg-10-8305-2013, 2013
R. Fuchs, M. Herold, P. H. Verburg, and J. G. P. W. Clevers
Biogeosciences, 10, 1543–1559, https://doi.org/10.5194/bg-10-1543-2013, https://doi.org/10.5194/bg-10-1543-2013, 2013
P. W. Keys, R. J. van der Ent, L. J. Gordon, H. Hoff, R. Nikoli, and H. H. G. Savenije
Biogeosciences, 9, 733–746, https://doi.org/10.5194/bg-9-733-2012, https://doi.org/10.5194/bg-9-733-2012, 2012
V. Kovalskyy and G. M. Henebry
Biogeosciences, 9, 141–159, https://doi.org/10.5194/bg-9-141-2012, https://doi.org/10.5194/bg-9-141-2012, 2012
V. Kovalskyy and G. M. Henebry
Biogeosciences, 9, 161–177, https://doi.org/10.5194/bg-9-161-2012, https://doi.org/10.5194/bg-9-161-2012, 2012
A. Dallmeyer and M. Claussen
Biogeosciences, 8, 1499–1519, https://doi.org/10.5194/bg-8-1499-2011, https://doi.org/10.5194/bg-8-1499-2011, 2011
B. D. Stocker, K. Strassmann, and F. Joos
Biogeosciences, 8, 69–88, https://doi.org/10.5194/bg-8-69-2011, https://doi.org/10.5194/bg-8-69-2011, 2011
A. Oschlies, W. Koeve, W. Rickels, and K. Rehdanz
Biogeosciences, 7, 4017–4035, https://doi.org/10.5194/bg-7-4017-2010, https://doi.org/10.5194/bg-7-4017-2010, 2010
S. Bathiany, M. Claussen, V. Brovkin, T. Raddatz, and V. Gayler
Biogeosciences, 7, 1383–1399, https://doi.org/10.5194/bg-7-1383-2010, https://doi.org/10.5194/bg-7-1383-2010, 2010
M. Steinacher, F. Joos, T. L. Frölicher, L. Bopp, P. Cadule, V. Cocco, S. C. Doney, M. Gehlen, K. Lindsay, J. K. Moore, B. Schneider, and J. Segschneider
Biogeosciences, 7, 979–1005, https://doi.org/10.5194/bg-7-979-2010, https://doi.org/10.5194/bg-7-979-2010, 2010
A. Oschlies
Biogeosciences, 6, 1603–1613, https://doi.org/10.5194/bg-6-1603-2009, https://doi.org/10.5194/bg-6-1603-2009, 2009
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Short summary
We employed an individual- and patch-based dynamic global ecosystem model to quantify long-term C accumulation rates and to assess the effects of historical and projected climate change on peatland C balances across the pan-Arctic. We found that peatlands in Scandinavia, Europe, Russia and central and eastern Canada will become C sources, while Siberia, far eastern Russia, Alaska and western and northern Canada will increase their sink capacity by the end of the 21st century.
We employed an individual- and patch-based dynamic global ecosystem model to quantify long-term...
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