Articles | Volume 23, issue 4
https://doi.org/10.5194/bg-23-1625-2026
© Author(s) 2026. 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-23-1625-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
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02 Mar 2026
Research article | Highlight paper |
| 02 Mar 2026
| 02 Mar 2026
Drivers of long-term grassland CO2 fluxes: effects of management and meteorological conditions during regrowth periods
Yi Wang
CORRESPONDING AUTHOR
Institute of Agricultural Sciences, ETH Zurich, 8092 Zurich, Switzerland
ICOS ERIC Carbon Portal, Department of Earth and Environmental Sciences, Lund University, 22362 Lund, Sweden
Iris Feigenwinter
Institute of Agricultural Sciences, ETH Zurich, 8092 Zurich, Switzerland
Lukas Hörtnagl
Institute of Agricultural Sciences, ETH Zurich, 8092 Zurich, Switzerland
Anna K. Gilgen
Institute of Agricultural Sciences, ETH Zurich, 8092 Zurich, Switzerland
Nina Buchmann
Institute of Agricultural Sciences, ETH Zurich, 8092 Zurich, Switzerland
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This study demonstrates how increasingly long eddy covariance time series open new opportunities to advance understanding of biosphere–atmosphere interactions. By examining climate-smart management practices in an intensively managed grassland, the authors show how management decisions can stabilize key ecosystem processes, enhance resilience, and partially offset the negative impacts of climate extremes on productivity. The findings provide valuable observational evidence with direct relevance for climate adaptation strategies in agroecosystems and for informing management and policy decisions at local to regional scales.
This study demonstrates how increasingly long eddy covariance time series open new opportunities...
Short summary
Analyzing 20 years (2005–2024) of CO2 flux, meteorological, and agricultural management data from an intensively managed grassland in Switzerland using machine learning, we identified drivers of ecosystem productivity (gross primary production (GPP)), respiration (ecosystem respiration (Reco)) and their changes over time. Moreover, we showed how agricultural management interacted and could partly offset negative impacts of extreme events on GPP. Our findings offer observational evidence to inform climate adaptation strategies in grasslands.
Analyzing 20 years (2005–2024) of CO2 flux, meteorological, and agricultural management data...
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