Articles | Volume 10, issue 3
https://doi.org/10.5194/bg-10-1517-2013
© Author(s) 2013. 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-10-1517-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Mar 2013
Research article |
| 07 Mar 2013
GCM characteristics explain the majority of uncertainty in projected 21st century terrestrial ecosystem carbon balance
A. Ahlström
Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, 223 62 Lund, Sweden
B. Smith
Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, 223 62 Lund, Sweden
J. Lindström
Mathematical Statistics, Centre for Mathematical Sciences, Lund University, P.O. Box 118, 221 00 Lund, Sweden
M. Rummukainen
Centre for Environmental and Climate Research, Lund University, Sölvegatan 37, 223 62 Lund, Sweden
C. B. Uvo
Department of Water Resource Engineering, LTH, Lund University, P.O. Box 118, 221 00 Lund, Sweden
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35 citations as recorded by crossref.
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- A review of the major drivers of the terrestrial carbon uptake: model-based assessments, consensus, and uncertainties T. Tharammal et al. 10.1088/1748-9326/ab3012
- Modeling forest dynamics along climate gradients in Bolivia C. Seiler et al. 10.1002/2013JG002509
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- Quantifying the impacts of land surface schemes and dynamic vegetation on the model dependency of projected changes in surface energy and water budgets M. Yu et al. 10.1002/2015MS000492
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35 citations as recorded by crossref.
- Changes in global climate heterogeneity under the 21st century global warming Y. Guan et al. 10.1016/j.ecolind.2021.108075
- Transient Traceability Analysis of Land Carbon Storage Dynamics: Procedures and Its Application to Two Forest Ecosystems L. Jiang et al. 10.1002/2017MS001004
- A review of the major drivers of the terrestrial carbon uptake: model-based assessments, consensus, and uncertainties T. Tharammal et al. 10.1088/1748-9326/ab3012
- Modeling forest dynamics along climate gradients in Bolivia C. Seiler et al. 10.1002/2013JG002509
- The sensitivity of wet and dry tropical forests to climate change in Bolivia C. Seiler et al. 10.1002/2014JG002749
- Quantifying the impacts of land surface schemes and dynamic vegetation on the model dependency of projected changes in surface energy and water budgets M. Yu et al. 10.1002/2015MS000492
- Separation of the Effects of Land and Climate Model Errors on Simulated Contemporary Land Carbon Cycle Trends in the MPI Earth System Model version 1* D. Dalmonech et al. 10.1175/JCLI-D-13-00593.1
- Effect of climate data on simulated carbon and nitrogen balances for Europe J. Blanke et al. 10.1002/2015JG003216
- Importance of vegetation dynamics for future terrestrial carbon cycling A. Ahlström et al. 10.1088/1748-9326/10/5/054019
- Implications of accounting for management intensity on carbon and nitrogen balances of European grasslands J. Blanke et al. 10.1371/journal.pone.0201058
- Water availability affects seasonal CO2‐induced photosynthetic enhancement in herbaceous species in a periodically dry woodland V. Pathare et al. 10.1111/gcb.13778
- Assessing and predicting soil carbon density in China using CMIP5 earth system models L. Qiu et al. 10.1016/j.scitotenv.2021.149247
- Sources of variation in simulated ecosystem carbon storage capacity from the 5th Climate Model Intercomparison Project (CMIP5) Y. Yan et al. 10.3402/tellusb.v66.22568
- Food supply and bioenergy production within the global cropland planetary boundary R. Henry et al. 10.1371/journal.pone.0194695
- Climate Sensitivity Controls Uncertainty in Future Terrestrial Carbon Sink G. Schurgers et al. 10.1029/2018GL077528
- Climate data induced uncertainty in model-based estimations of terrestrial primary productivity Z. Wu et al. 10.1088/1748-9326/aa6fd8
- Soil carbon management in large-scale Earth system modelling: implications for crop yields and nitrogen leaching S. Olin et al. 10.5194/esd-6-745-2015
- Forecasting Responses of a Northern Peatland Carbon Cycle to Elevated CO2 and a Gradient of Experimental Warming J. Jiang et al. 10.1002/2017JG004040
- Modelling changes in vegetation productivity and carbon balance under future climate scenarios in southeastern Australia B. Wang et al. 10.1016/j.scitotenv.2024.171748
- Assessing uncertainties in global cropland futures using a conditional probabilistic modelling framework K. Engström et al. 10.5194/esd-7-893-2016
- Response of microbial decomposition to spin-up explains CMIP5 soil carbon range until 2100 J. Exbrayat et al. 10.5194/gmd-7-2683-2014
- Uncertainty of annual runoff projections in Lithuanian rivers under a future climate V. Akstinas et al. 10.2166/nh.2019.004
- Toward more realistic projections of soil carbon dynamics by Earth system models Y. Luo et al. 10.1002/2015GB005239
- LPJ-GUESS/LSMv1.0: a next-generation land surface model with high ecological realism D. Martín Belda et al. 10.5194/gmd-15-6709-2022
- Evaluation of ecosystem carbon storage in major forest types of Eastern Himalaya: Implications for carbon sink management A. Gogoi et al. 10.1016/j.jenvman.2021.113972
- Snow, ponds, trees, and frogs: how environmental processes mediate climate change impacts on four subarctic terrestrial and freshwater ecosystems M. Morison et al. 10.1139/facets-2022-0163
- Disentangling residence time and temperature sensitivity of microbial decomposition in a global soil carbon model J. Exbrayat et al. 10.5194/bg-11-6999-2014
- Supporting hierarchical soil biogeochemical modeling: version 2 of the Biogeochemical Transport and Reaction model (BeTR-v2) J. Tang et al. 10.5194/gmd-15-1619-2022
- The large influence of climate model bias on terrestrial carbon cycle simulations A. Ahlström et al. 10.1088/1748-9326/12/1/014004
- ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions W. Dorigo et al. 10.1016/j.rse.2017.07.001
- Climate and atmospheric drivers of historical terrestrial carbon uptake in the province of British Columbia, Canada Y. Peng et al. 10.5194/bg-11-635-2014
- Scale-Dependent Performance of CMIP5 Earth System Models in Simulating Terrestrial Vegetation Carbon* L. Jiang et al. 10.1175/JCLI-D-14-00270.1
- Impacts of Climate Change on Low Flows at Tang Panj Sezar Subbasin, Southwest of Iran M. Mozayyan et al. 10.1061/(ASCE)HE.1943-5584.0001578
- Uncertainty analysis of multiple global GPP datasets in characterizing the lagged effect of drought on photosynthesis X. Xie et al. 10.1016/j.ecolind.2020.106224
- Modelling Holocene peatland dynamics with an individual-based dynamic vegetation model N. Chaudhary et al. 10.5194/bg-14-2571-2017
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