Articles | Volume 20, issue 11
https://doi.org/10.5194/bg-20-2031-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-20-2031-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Jun 2023
Research article |
| 06 Jun 2023
| 06 Jun 2023
Snow–vegetation–atmosphere interactions in alpine tundra
Department of Geosciences, University of Oslo, Oslo, Norway
Kristoffer Aalstad
Department of Geosciences, University of Oslo, Oslo, Norway
Yeliz A. Yilmaz
Department of Geosciences, University of Oslo, Oslo, Norway
Astrid Vatne
Department of Geosciences, University of Oslo, Oslo, Norway
Andrea L. Popp
Department of Geosciences, University of Oslo, Oslo, Norway
Hydrological Research Unit, Swedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden
Peter Horvath
Natural History Museum, University of Oslo, Oslo, Norway
Anders Bryn
Natural History Museum, University of Oslo, Oslo, Norway
Ane Victoria Vollsnes
Department of Biosciences, University of Oslo, Oslo, Norway
Sebastian Westermann
Department of Geosciences, University of Oslo, Oslo, Norway
Terje Koren Berntsen
Department of Geosciences, University of Oslo, Oslo, Norway
Frode Stordal
Department of Geosciences, University of Oslo, Oslo, Norway
Lena Merete Tallaksen
Department of Geosciences, University of Oslo, Oslo, Norway
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Cited
15 citations as recorded by crossref.
- Separating the albedo-reducing effect of different light-absorbing particles on snow using deep learning L. Chevrollier et al. https://doi.org/10.5194/tc-19-1527-2025
- Spatiotemporal assessment of forest dynamics to decipher landscape ecological insights on forest fragmentation in Kangra region (2019-2025) using FRAGSTATS and geospatial AI techniques M. Kumari et al. https://doi.org/10.1016/j.indic.2026.101345
- Mapping red algal blooms and their albedo-reducing effect on seasonal snowfields at Hardangervidda, Southern Norway L. Chevrollier et al. https://doi.org/10.3389/feart.2025.1508719
- Carbon dynamics of a controlled peatland rewetting experiment in the Norwegian boreal zone M. Bekken et al. https://doi.org/10.1038/s41598-025-30836-2
- Critical snowpack thresholds and escalating risks for extreme decreases in vegetation productivity across Northern Hemisphere ecosystems H. Liu et al. https://doi.org/10.1016/j.agrformet.2025.110992
- Spatio-temporal information propagation using sparse observations in hyper-resolution ensemble-based snow data assimilation E. Alonso-González et al. https://doi.org/10.5194/hess-27-4637-2023
- Machine-learning emergent constraints on surface albedo feedback over Arctic land regions L. Yu et al. https://doi.org/10.1038/s41467-026-71779-0
- Towards a remote-sensing-driven model of isoprene emissions from Alpine tundra A. Westergaard-Nielsen et al. https://doi.org/10.1088/1748-9326/ae02a9
- Spatio-temporal snow data assimilation with the ICESat-2 laser altimeter M. Mazzolini et al. https://doi.org/10.5194/tc-19-3831-2025
- Transfer Efficiency and Organization in Turbulent Transport over Alpine Tundra L. Mack et al. https://doi.org/10.1007/s10546-024-00879-5
- The influence of abiotic (snow fences) and biotic (hedgerows) vertical structures on soil moisture, temperature, and planted seedlings in subarctic mine site reclamation B. Budzey et al. https://doi.org/10.1016/j.geoderma.2025.117512
- Implications of climate and litter quality for simulations of litterbag decomposition at high latitudes E. Aas et al. https://doi.org/10.5194/bg-21-3789-2024
- The snow cover is more important than other climatic variables on the prediction of vegetation dynamics in the Pyrenees (1981–2014) E. Alonso-González et al. https://doi.org/10.1088/1748-9326/ad4e4c
- An improved modelling chain for bias-adjusted high-resolution climate and hydrological projections for Norway S. Huang et al. https://doi.org/10.5194/gmd-19-4567-2026
- Probabilistic modelling of atmosphere–surface coupling with a copula Bayesian network L. Mack et al. https://doi.org/10.1016/j.envsoft.2026.107003
15 citations as recorded by crossref.
- Separating the albedo-reducing effect of different light-absorbing particles on snow using deep learning L. Chevrollier et al. https://doi.org/10.5194/tc-19-1527-2025
- Spatiotemporal assessment of forest dynamics to decipher landscape ecological insights on forest fragmentation in Kangra region (2019-2025) using FRAGSTATS and geospatial AI techniques M. Kumari et al. https://doi.org/10.1016/j.indic.2026.101345
- Mapping red algal blooms and their albedo-reducing effect on seasonal snowfields at Hardangervidda, Southern Norway L. Chevrollier et al. https://doi.org/10.3389/feart.2025.1508719
- Carbon dynamics of a controlled peatland rewetting experiment in the Norwegian boreal zone M. Bekken et al. https://doi.org/10.1038/s41598-025-30836-2
- Critical snowpack thresholds and escalating risks for extreme decreases in vegetation productivity across Northern Hemisphere ecosystems H. Liu et al. https://doi.org/10.1016/j.agrformet.2025.110992
- Spatio-temporal information propagation using sparse observations in hyper-resolution ensemble-based snow data assimilation E. Alonso-González et al. https://doi.org/10.5194/hess-27-4637-2023
- Machine-learning emergent constraints on surface albedo feedback over Arctic land regions L. Yu et al. https://doi.org/10.1038/s41467-026-71779-0
- Towards a remote-sensing-driven model of isoprene emissions from Alpine tundra A. Westergaard-Nielsen et al. https://doi.org/10.1088/1748-9326/ae02a9
- Spatio-temporal snow data assimilation with the ICESat-2 laser altimeter M. Mazzolini et al. https://doi.org/10.5194/tc-19-3831-2025
- Transfer Efficiency and Organization in Turbulent Transport over Alpine Tundra L. Mack et al. https://doi.org/10.1007/s10546-024-00879-5
- The influence of abiotic (snow fences) and biotic (hedgerows) vertical structures on soil moisture, temperature, and planted seedlings in subarctic mine site reclamation B. Budzey et al. https://doi.org/10.1016/j.geoderma.2025.117512
- Implications of climate and litter quality for simulations of litterbag decomposition at high latitudes E. Aas et al. https://doi.org/10.5194/bg-21-3789-2024
- The snow cover is more important than other climatic variables on the prediction of vegetation dynamics in the Pyrenees (1981–2014) E. Alonso-González et al. https://doi.org/10.1088/1748-9326/ad4e4c
- An improved modelling chain for bias-adjusted high-resolution climate and hydrological projections for Norway S. Huang et al. https://doi.org/10.5194/gmd-19-4567-2026
- Probabilistic modelling of atmosphere–surface coupling with a copula Bayesian network L. Mack et al. https://doi.org/10.1016/j.envsoft.2026.107003
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
We measured the land–atmosphere exchange of CO2 and water vapor in alpine Norway over 3 years. The extremely snow-rich conditions in 2020 reduced the total annual evapotranspiration to 50 % and reduced the growing-season carbon assimilation to turn the ecosystem from a moderate annual carbon sink to an even stronger source. Our analysis suggests that snow cover anomalies are driving the most consequential short-term responses in this ecosystem’s functioning.
We measured the land–atmosphere exchange of CO2 and water vapor in alpine Norway over 3 years....
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