Articles | Volume 7, issue 3
https://doi.org/10.5194/esd-7-559-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esd-7-559-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 Jul 2016
Research article |
| 08 Jul 2016
Climate change increases riverine carbon outgassing, while export to the ocean remains uncertain
F. Langerwisch
CORRESPONDING AUTHOR
Earth System Analysis, Potsdam Institute for Climate Impact Research
(PIK), P.O. Box 601203, Telegraphenberg A62, 14412 Potsdam, Germany
Berlin-Brandenburg Institute of Advanced Biodiversity Research
(BBIB), 14195 Berlin, Germany
A. Walz
Institute of Earth and Environmental Science, University of Potsdam,
Karl-Liebknecht-Str. 24–25, 14476 Potsdam-Golm, Germany
A. Rammig
Earth System Analysis, Potsdam Institute for Climate Impact Research
(PIK), P.O. Box 601203, Telegraphenberg A62, 14412 Potsdam, Germany
TUM School of Life Sciences Weihenstephan, Land Surface-Atmosphere
Interactions, Technical University Munich, Hans-Carl-von-Carlowitz-Platz 2,
85354 Freising, Germany
B. Tietjen
Biodiversity – Ecological Modelling, Institute of Biology, Freie
Universität Berlin, Altensteinstr. 6, 14195 Berlin, Germany
Berlin-Brandenburg Institute of Advanced Biodiversity Research
(BBIB), 14195 Berlin, Germany
K. Thonicke
Earth System Analysis, Potsdam Institute for Climate Impact Research
(PIK), P.O. Box 601203, Telegraphenberg A62, 14412 Potsdam, Germany
Berlin-Brandenburg Institute of Advanced Biodiversity Research
(BBIB), 14195 Berlin, Germany
W. Cramer
Institut Méditerranéen de Biodiversité et d'Ecologie
marine et continentale (IMBE), Aix-Marseille Université, CNRS, IRD,
Avignon Université, Technopôle Arbois-Méditerranée, Bât.
Villemin – BP 80, 13545 Aix-en-Provence CEDEX 04, France
Berlin-Brandenburg Institute of Advanced Biodiversity Research
(BBIB), 14195 Berlin, Germany
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Joel Guiot, Nicolas Bernigaud, Alberte Bondeau, Laurent Bouby, and Wolfgang Cramer
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Melanie Fischer, Jana Brettin, Sigrid Roessner, Ariane Walz, Monique Fort, and Oliver Korup
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Johannes Oberpriller, Christine Herschlein, Peter Anthoni, Almut Arneth, Andreas Krause, Anja Rammig, Mats Lindeskog, Stefan Olin, and Florian Hartig
Geosci. Model Dev., 15, 6495–6519, https://doi.org/10.5194/gmd-15-6495-2022, https://doi.org/10.5194/gmd-15-6495-2022, 2022
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Phillip Papastefanou, Christian S. Zang, Zlatan Angelov, Aline Anderson de Castro, Juan Carlos Jimenez, Luiz Felipe Campos De Rezende, Romina C. Ruscica, Boris Sakschewski, Anna A. Sörensson, Kirsten Thonicke, Carolina Vera, Nicolas Viovy, Celso Von Randow, and Anja Rammig
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Mats Lindeskog, Benjamin Smith, Fredrik Lagergren, Ekaterina Sycheva, Andrej Ficko, Hans Pretzsch, and Anja Rammig
Geosci. Model Dev., 14, 6071–6112, https://doi.org/10.5194/gmd-14-6071-2021, https://doi.org/10.5194/gmd-14-6071-2021, 2021
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Melanie Fischer, Oliver Korup, Georg Veh, and Ariane Walz
The Cryosphere, 15, 4145–4163, https://doi.org/10.5194/tc-15-4145-2021, https://doi.org/10.5194/tc-15-4145-2021, 2021
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Boris Sakschewski, Werner von Bloh, Markus Drüke, Anna Amelia Sörensson, Romina Ruscica, Fanny Langerwisch, Maik Billing, Sarah Bereswill, Marina Hirota, Rafael Silva Oliveira, Jens Heinke, and Kirsten Thonicke
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This study shows how local adaptations of tree roots across tropical and sub-tropical South America explain patterns of biome distribution, productivity and evapotranspiration on this continent. By allowing for high diversity of tree rooting strategies in a dynamic global vegetation model (DGVM), we are able to mechanistically explain patterns of mean rooting depth and the effects on ecosystem functions. The approach can advance DGVMs and Earth system models.
Markus Drüke, Werner von Bloh, Stefan Petri, Boris Sakschewski, Sibyll Schaphoff, Matthias Forkel, Willem Huiskamp, Georg Feulner, and Kirsten Thonicke
Geosci. Model Dev., 14, 4117–4141, https://doi.org/10.5194/gmd-14-4117-2021, https://doi.org/10.5194/gmd-14-4117-2021, 2021
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In this study, we couple the well-established and comprehensively validated state-of-the-art dynamic LPJmL5 global vegetation model to the CM2Mc coupled climate model (CM2Mc-LPJmL v.1.0). Several improvements to LPJmL5 were implemented to allow a fully functional biophysical coupling. The new climate model is able to capture important biospheric processes, including fire, mortality, permafrost, hydrological cycling and the the impacts of managed land (crop growth and irrigation).
Gilvan Sampaio, Marília H. Shimizu, Carlos A. Guimarães-Júnior, Felipe Alexandre, Marcelo Guatura, Manoel Cardoso, Tomas F. Domingues, Anja Rammig, Celso von Randow, Luiz F. C. Rezende, and David M. Lapola
Biogeosciences, 18, 2511–2525, https://doi.org/10.5194/bg-18-2511-2021, https://doi.org/10.5194/bg-18-2511-2021, 2021
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The impact of large-scale deforestation and the physiological effects of elevated atmospheric CO2 on Amazon rainfall are systematically compared in this study. Our results are remarkable in showing that the two disturbances cause equivalent rainfall decrease, though through different causal mechanisms. These results highlight the importance of not only curbing regional deforestation but also reducing global CO2 emissions to avoid climatic changes in the Amazon.
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Short summary
In Amazonia, carbon fluxes are considerably influenced by annual flooding. We applied the newly developed model RivCM to several climate change scenarios to estimate potential changes in riverine carbon. We find that climate change causes substantial changes in riverine organic and inorganic carbon, as well as changes in carbon exported to the atmosphere and ocean. Such changes could have local and regional impacts on the carbon budget of the whole Amazon basin and parts of the Atlantic Ocean.
In Amazonia, carbon fluxes are considerably influenced by annual flooding. We applied the newly...
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