Articles | Volume 12, issue 9
https://doi.org/10.5194/bg-12-2791-2015
© Author(s) 2015. 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-12-2791-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
12 May 2015
Research article |
| 12 May 2015
Carbon budget estimation of a subarctic catchment using a dynamic ecosystem model at high spatial resolution
Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, 223 62 Lund, Sweden
Department of Resource and Environmental Science, Wuhan University, Road Luoyu 129, Wuhan, China
P. A. Miller
Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, 223 62 Lund, Sweden
A. Persson
Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, 223 62 Lund, Sweden
D. Olefeldt
Department of Renewable Resources, University of Alberta, Edmonton AB T6G 2H1, Canada
P. Pilesjö
Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, 223 62 Lund, Sweden
M. Heliasz
Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, 223 62 Lund, Sweden
M. Jackowicz-Korczynski
Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, 223 62 Lund, Sweden
Z. Yang
Department of Forest Ecosystems and Society, Oregon State University, Corvallis 973 31, Oregon, USA
Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, 223 62 Lund, Sweden
T. V. Callaghan
Royal Swedish Academy of Sciences, Lilla Frescativägen 4A, 114 18 Stockholm, Sweden
Department of Animal and Plant Sciences, University of Sheffield, Sheffield S10 2TN, UK
Department of Botany, National Research Tomsk State University, 36, Lenin Ave., Tomsk 634050, Russia
T. R. Christensen
Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, 223 62 Lund, Sweden
Arctic Research Centre, Aarhus University, C.F. Møllers Allé 8, 8000 Aarhus C, Denmark
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Cited
22 citations as recorded by crossref.
- Challenges in modelling isoprene and monoterpene emission dynamics of Arctic plants: a case study from a subarctic tundra heath J. Tang et al. https://doi.org/10.5194/bg-13-6651-2016
- High-latitude vegetation changes will determine future plant volatile impacts on atmospheric organic aerosols J. Tang et al. https://doi.org/10.1038/s41612-023-00463-7
- Kilometre-scale simulations over Fennoscandia reveal a large loss of tundra due to climate warming F. Lagergren et al. https://doi.org/10.5194/bg-21-1093-2024
- Emissions of methane from northern peatlands: a review of management impacts and implications for future management options M. Abdalla et al. https://doi.org/10.1002/ece3.2469
- Mapping Fractional Vegetation Coverage across Wetland Classes of Sub-Arctic Peatlands Using Combined Partial Least Squares Regression and Multiple Endmember Spectral Unmixing H. Cunnick et al. https://doi.org/10.3390/rs15051440
- Monitoring sub-arctic wetland vegetation using nested scales of spectrometry to inform multiple endmember spectral unmixing of Sentinel-2A imagery H. Cunnick et al. https://doi.org/10.1088/2752-664X/adf448
- Modelling Holocene peatland dynamics with an individual-based dynamic vegetation model N. Chaudhary et al. https://doi.org/10.5194/bg-14-2571-2017
- CaMP-DOC v1.0: a process-based model for quantifying dissolved organic carbon fluxes in wetland-dominated catchments H. He et al. https://doi.org/10.1139/cjfr-2026-0150
- Optimizing runoff simulation in three mid-high latitude catchments by integrating terrestrial ecosystem modelling, hybrid machine learning, and causal inference H. Zhou et al. https://doi.org/10.1016/j.ejrh.2025.103085
- Dissolved organic carbon in streams within a subarctic catchment analysed using a GIS/remote sensing approach P. Mzobe et al. https://doi.org/10.1371/journal.pone.0199608
- Scientific land greening under climate change: Theory, modeling, and challenges J. Chen et al. https://doi.org/10.1016/j.accre.2024.08.003
- Drivers of dissolved organic carbon export in a subarctic catchment: Importance of microbial decomposition, sorption-desorption, peatland and lateral flow J. Tang et al. https://doi.org/10.1016/j.scitotenv.2017.11.252
- Modelling of the wetland methane budget to estimate its transport to groundwater M. Glagolev et al. https://doi.org/10.1088/1755-1315/1093/1/012017
- Modelling past, present and future peatland carbon accumulation across the pan-Arctic region N. Chaudhary et al. https://doi.org/10.5194/bg-14-4023-2017
- The missing pieces for better future predictions in subarctic ecosystems: A Torneträsk case study D. Pascual et al. https://doi.org/10.1007/s13280-020-01381-1
- Optimising CH4 simulations from the LPJ-GUESS model v4.1 using an adaptive Markov chain Monte Carlo algorithm J. Kallingal et al. https://doi.org/10.5194/gmd-17-2299-2024
- Separating direct and indirect effects of rising temperatures on biogenic volatile emissions in the Arctic R. Rinnan et al. https://doi.org/10.1073/pnas.2008901117
- Peatland Heterogeneity Impacts on Regional Carbon Flux and Its Radiative Effect Within a Boreal Landscape D. Kou et al. https://doi.org/10.1029/2021JG006774
- A New Land Cover Map of Two Watersheds under Long-Term Environmental Monitoring in the Swedish Arctic Using Sentinel-2 Data Y. Auda et al. https://doi.org/10.3390/w15183311
- Climate change and dissolved organic carbon export to the Gulf of Maine T. Huntington et al. https://doi.org/10.1002/2015JG003314
- Non-point source-driven carbon and nutrient loading to Ganga River (India) R. Singh & J. Pandey https://doi.org/10.1080/02757540.2018.1554061
- Detecting soil freeze-thaw dynamics with C-band SAR over permafrost in Northern Sweden and seasonally frozen grounds in the Tibetan Plateau, China A. Taghavi-Bayat et al. https://doi.org/10.1080/01431161.2024.2372079
22 citations as recorded by crossref.
- Challenges in modelling isoprene and monoterpene emission dynamics of Arctic plants: a case study from a subarctic tundra heath J. Tang et al. https://doi.org/10.5194/bg-13-6651-2016
- High-latitude vegetation changes will determine future plant volatile impacts on atmospheric organic aerosols J. Tang et al. https://doi.org/10.1038/s41612-023-00463-7
- Kilometre-scale simulations over Fennoscandia reveal a large loss of tundra due to climate warming F. Lagergren et al. https://doi.org/10.5194/bg-21-1093-2024
- Emissions of methane from northern peatlands: a review of management impacts and implications for future management options M. Abdalla et al. https://doi.org/10.1002/ece3.2469
- Mapping Fractional Vegetation Coverage across Wetland Classes of Sub-Arctic Peatlands Using Combined Partial Least Squares Regression and Multiple Endmember Spectral Unmixing H. Cunnick et al. https://doi.org/10.3390/rs15051440
- Monitoring sub-arctic wetland vegetation using nested scales of spectrometry to inform multiple endmember spectral unmixing of Sentinel-2A imagery H. Cunnick et al. https://doi.org/10.1088/2752-664X/adf448
- Modelling Holocene peatland dynamics with an individual-based dynamic vegetation model N. Chaudhary et al. https://doi.org/10.5194/bg-14-2571-2017
- CaMP-DOC v1.0: a process-based model for quantifying dissolved organic carbon fluxes in wetland-dominated catchments H. He et al. https://doi.org/10.1139/cjfr-2026-0150
- Optimizing runoff simulation in three mid-high latitude catchments by integrating terrestrial ecosystem modelling, hybrid machine learning, and causal inference H. Zhou et al. https://doi.org/10.1016/j.ejrh.2025.103085
- Dissolved organic carbon in streams within a subarctic catchment analysed using a GIS/remote sensing approach P. Mzobe et al. https://doi.org/10.1371/journal.pone.0199608
- Scientific land greening under climate change: Theory, modeling, and challenges J. Chen et al. https://doi.org/10.1016/j.accre.2024.08.003
- Drivers of dissolved organic carbon export in a subarctic catchment: Importance of microbial decomposition, sorption-desorption, peatland and lateral flow J. Tang et al. https://doi.org/10.1016/j.scitotenv.2017.11.252
- Modelling of the wetland methane budget to estimate its transport to groundwater M. Glagolev et al. https://doi.org/10.1088/1755-1315/1093/1/012017
- Modelling past, present and future peatland carbon accumulation across the pan-Arctic region N. Chaudhary et al. https://doi.org/10.5194/bg-14-4023-2017
- The missing pieces for better future predictions in subarctic ecosystems: A Torneträsk case study D. Pascual et al. https://doi.org/10.1007/s13280-020-01381-1
- Optimising CH4 simulations from the LPJ-GUESS model v4.1 using an adaptive Markov chain Monte Carlo algorithm J. Kallingal et al. https://doi.org/10.5194/gmd-17-2299-2024
- Separating direct and indirect effects of rising temperatures on biogenic volatile emissions in the Arctic R. Rinnan et al. https://doi.org/10.1073/pnas.2008901117
- Peatland Heterogeneity Impacts on Regional Carbon Flux and Its Radiative Effect Within a Boreal Landscape D. Kou et al. https://doi.org/10.1029/2021JG006774
- A New Land Cover Map of Two Watersheds under Long-Term Environmental Monitoring in the Swedish Arctic Using Sentinel-2 Data Y. Auda et al. https://doi.org/10.3390/w15183311
- Climate change and dissolved organic carbon export to the Gulf of Maine T. Huntington et al. https://doi.org/10.1002/2015JG003314
- Non-point source-driven carbon and nutrient loading to Ganga River (India) R. Singh & J. Pandey https://doi.org/10.1080/02757540.2018.1554061
- Detecting soil freeze-thaw dynamics with C-band SAR over permafrost in Northern Sweden and seasonally frozen grounds in the Tibetan Plateau, China A. Taghavi-Bayat et al. https://doi.org/10.1080/01431161.2024.2372079
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