Articles | Volume 10, issue 2
https://doi.org/10.5194/esd-10-233-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-10-233-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Apr 2019
Research article |
| 24 Apr 2019
| 24 Apr 2019
Evaluation of terrestrial pan-Arctic carbon cycling using a data-assimilation system
Department of Biosciences, Arctic Research Center, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
School of GeoSciences, University of Edinburgh, Edinburgh, EH9 3FF, UK
Jean-François Exbrayat
School of GeoSciences, University of Edinburgh, Edinburgh, EH9 3FF, UK
National Centre for Earth Observation, University of Edinburgh, Edinburgh, EH9 3FF, UK
Magnus Lund
Department of Biosciences, Arctic Research Center, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
Torben R. Christensen
Department of Biosciences, Arctic Research Center, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, 223 62 Lund, Sweden
Mikkel P. Tamstorf
Department of Biosciences, Arctic Research Center, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
Darren Slevin
School of GeoSciences, University of Edinburgh, Edinburgh, EH9 3FF, UK
Gustaf Hugelius
Department of Physical Geography and Bolin Centre for Climate Research, Stockholm University, 106 91 Stockholm, Sweden
Anthony A. Bloom
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
Mathew Williams
CORRESPONDING AUTHOR
School of GeoSciences, University of Edinburgh, Edinburgh, EH9 3FF, UK
National Centre for Earth Observation, University of Edinburgh, Edinburgh, EH9 3FF, UK
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Cited
22 citations as recorded by crossref.
- Climate Sensitivities of Carbon Turnover Times in Soil and Vegetation: Understanding Their Effects on Forest Carbon Sequestration R. Ge et al. 10.1029/2020JG005880
- The future of tundra carbon storage in Greenland – Sensitivity to climate and plant trait changes E. López-Blanco et al. 10.1016/j.scitotenv.2022.157385
- Accelerated mobilization of organic carbon from retrogressive thaw slumps on the northern Taymyr Peninsula P. Bernhard et al. 10.5194/tc-16-2819-2022
- Resolving temperature limitation on spring productivity in an evergreen conifer forest using a model–data fusion framework S. Stettz et al. 10.5194/bg-19-541-2022
- Overview: Recent advances in the understanding of the northern Eurasian environments and of the urban air quality in China – a Pan-Eurasian Experiment (PEEX) programme perspective H. Lappalainen et al. 10.5194/acp-22-4413-2022
- Reference carbon cycle dataset for typical Chinese forests via colocated observations and data assimilation H. He et al. 10.1038/s41597-021-00826-w
- Carbon uptake in Eurasian boreal forests dominates the high‐latitude net ecosystem carbon budget J. Watts et al. 10.1111/gcb.16553
- Across‐model spread and shrinking in predicting peatland carbon dynamics under global change E. Hou et al. 10.1111/gcb.16643
- Carbon Flux Variability From a Relatively Simple Ecosystem Model With Assimilated Data Is Consistent With Terrestrial Biosphere Model Estimates G. Quetin et al. 10.1029/2019MS001889
- Statistical upscaling of ecosystem CO2 fluxes across the terrestrial tundra and boreal domain: Regional patterns and uncertainties A. Virkkala et al. 10.1111/gcb.15659
- Ecosystem CO2 Exchange and Its Economic Implications in Northern Permafrost Regions in the 21st Century C. Mu et al. 10.1029/2023GB007750
- Characterizing the Error and Bias of Remotely Sensed LAI Products: An Example for Tropical and Subtropical Evergreen Forests in South China Y. Zhao et al. 10.3390/rs12193122
- Optimal model complexity for terrestrial carbon cycle prediction C. Famiglietti et al. 10.5194/bg-18-2727-2021
- The importance of interactions between snow, permafrost and vegetation dynamics in affecting terrestrial carbon balance in circumpolar regions Y. Xu & Q. Zhuang 10.1088/1748-9326/acc1f7
- Model simulations of arctic biogeochemistry and permafrost extent are highly sensitive to the implemented snow scheme in LPJ-GUESS A. Pongracz et al. 10.5194/bg-18-5767-2021
- Scale variance in the carbon dynamics of fragmented, mixed-use landscapes estimated using model–data fusion D. Milodowski et al. 10.5194/bg-20-3301-2023
- Modeling the Carbon Cycle of a Subtropical Chinese Fir Plantation Using a Multi-Source Data Fusion Approach L. Hu et al. 10.3390/f11040369
- Multi-year data-model evaluation reveals the importance of nutrient availability over climate in arctic ecosystem C dynamics E. López-Blanco et al. 10.1088/1748-9326/ab865b
- Incorporating permafrost into climate mitigation and adaptation policy S. Natali et al. 10.1088/1748-9326/ac8c5a
- Thermal Simulation of Ice Cellars as a Basis for Food Security and Energy Sustainability of Isolated Indigenous Communities in the Arctic A. Maslakov et al. 10.3390/en15030972
- Towards an increasingly biased view on Arctic change E. López-Blanco et al. 10.1038/s41558-023-01903-1
- Modelling impacts of lateral N flows and seasonal warming on an arctic footslope ecosystem N budget and N2O emissions based on species-level responses L. Rasmussen et al. 10.1007/s10533-022-00894-z
21 citations as recorded by crossref.
- Climate Sensitivities of Carbon Turnover Times in Soil and Vegetation: Understanding Their Effects on Forest Carbon Sequestration R. Ge et al. 10.1029/2020JG005880
- The future of tundra carbon storage in Greenland – Sensitivity to climate and plant trait changes E. López-Blanco et al. 10.1016/j.scitotenv.2022.157385
- Accelerated mobilization of organic carbon from retrogressive thaw slumps on the northern Taymyr Peninsula P. Bernhard et al. 10.5194/tc-16-2819-2022
- Resolving temperature limitation on spring productivity in an evergreen conifer forest using a model–data fusion framework S. Stettz et al. 10.5194/bg-19-541-2022
- Overview: Recent advances in the understanding of the northern Eurasian environments and of the urban air quality in China – a Pan-Eurasian Experiment (PEEX) programme perspective H. Lappalainen et al. 10.5194/acp-22-4413-2022
- Reference carbon cycle dataset for typical Chinese forests via colocated observations and data assimilation H. He et al. 10.1038/s41597-021-00826-w
- Carbon uptake in Eurasian boreal forests dominates the high‐latitude net ecosystem carbon budget J. Watts et al. 10.1111/gcb.16553
- Across‐model spread and shrinking in predicting peatland carbon dynamics under global change E. Hou et al. 10.1111/gcb.16643
- Carbon Flux Variability From a Relatively Simple Ecosystem Model With Assimilated Data Is Consistent With Terrestrial Biosphere Model Estimates G. Quetin et al. 10.1029/2019MS001889
- Statistical upscaling of ecosystem CO2 fluxes across the terrestrial tundra and boreal domain: Regional patterns and uncertainties A. Virkkala et al. 10.1111/gcb.15659
- Ecosystem CO2 Exchange and Its Economic Implications in Northern Permafrost Regions in the 21st Century C. Mu et al. 10.1029/2023GB007750
- Characterizing the Error and Bias of Remotely Sensed LAI Products: An Example for Tropical and Subtropical Evergreen Forests in South China Y. Zhao et al. 10.3390/rs12193122
- Optimal model complexity for terrestrial carbon cycle prediction C. Famiglietti et al. 10.5194/bg-18-2727-2021
- The importance of interactions between snow, permafrost and vegetation dynamics in affecting terrestrial carbon balance in circumpolar regions Y. Xu & Q. Zhuang 10.1088/1748-9326/acc1f7
- Model simulations of arctic biogeochemistry and permafrost extent are highly sensitive to the implemented snow scheme in LPJ-GUESS A. Pongracz et al. 10.5194/bg-18-5767-2021
- Scale variance in the carbon dynamics of fragmented, mixed-use landscapes estimated using model–data fusion D. Milodowski et al. 10.5194/bg-20-3301-2023
- Modeling the Carbon Cycle of a Subtropical Chinese Fir Plantation Using a Multi-Source Data Fusion Approach L. Hu et al. 10.3390/f11040369
- Multi-year data-model evaluation reveals the importance of nutrient availability over climate in arctic ecosystem C dynamics E. López-Blanco et al. 10.1088/1748-9326/ab865b
- Incorporating permafrost into climate mitigation and adaptation policy S. Natali et al. 10.1088/1748-9326/ac8c5a
- Thermal Simulation of Ice Cellars as a Basis for Food Security and Energy Sustainability of Isolated Indigenous Communities in the Arctic A. Maslakov et al. 10.3390/en15030972
- Towards an increasingly biased view on Arctic change E. López-Blanco et al. 10.1038/s41558-023-01903-1
Latest update: 23 Apr 2024
Short summary
The terrestrial CO2 exchange in Arctic ecosystems plays an important role in the global carbon cycle and is particularly sensitive to the ongoing warming experienced in recent years. To improve our understanding of the atmosphere–biosphere interplay, we evaluated the state of the terrestrial pan-Arctic carbon cycling using a promising data assimilation system in the first 15 years of the 21st century. This is crucial when it comes to making predictions about the future state of the carbon cycle.
The terrestrial CO2 exchange in Arctic ecosystems plays an important role in the global carbon...
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