Articles | Volume 23, issue 4
https://doi.org/10.5194/bg-23-1625-2026
https://doi.org/10.5194/bg-23-1625-2026
Research article
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02 Mar 2026
Research article | Highlight paper |  | 02 Mar 2026

Drivers of long-term grassland CO2 fluxes: effects of management and meteorological conditions during regrowth periods

Yi Wang, Iris Feigenwinter, Lukas Hörtnagl, Anna K. Gilgen, and Nina Buchmann

Data sets

Dataset including 20 years of daily CO2 fluxes, meteorological data, and management information during regrowth periods from the intensively managed grassland site Chamau Yi Wang et al. https://doi.org/10.3929/ethz-b-000745429

Model code and software

holukas/dataset_ch-cha_flux_product: FP2025.3 L. Hörtnagl https://doi.org/10.5281/zenodo.16058144

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Co-editor-in-chief
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.
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.
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