produced by Lukas Hörtnagl
The documentation is available as Jupyter book here.
Documentation and notebooks for the PI dataset of the intensively managed grassland ecosystem station CH-CHA (Chamau) . The research station CH-CHA is part of Swiss FluxNet, operated by the Grassland Sciences Group, ETH Zurich. Group leader: Prof. Nina Buchmann.
This dataset contains ecosystem fluxes measured by the eddy covariance method, meteorological data and detailed management info between 2005 and 2024. More data will be added to this dataset in the future.
- NEE: Net ecosystem exchange of carbon dioxide (2005-2024)
- LE: Latent heat flux (2005-2024)
- H: Sensible heat flux (2005-2024)
- FN2O: Nitrous oxide flux (Jan 2012 - July 2022, with eight years of good data coverage)
- FCH4: Methane flux (Jan 2012 - July 2022, with eight years of good data coverage)
We acknowledge the scientific advice by Iris Feigenwinter, Yi Wang, Lukas Hörtnagl, Lutz Merbold, Werner Eugster, Kathrin Fuchs, Matthias Zeeman, Valentin Klaus and Nina Buchmann. The technical assistance in the maintenance of the QCLAS and the eddy station by Thomas Baur, Philip Meier, Markus Staudinger, Paul Linwood, Peter Plüss, Patrick Koller, Florian Käslin is greatly acknowledged. We thank Lukas Stocker and the staff at Chamau for managing the fields around the flux station. We thank Franziska Richter and Severin Henzmann for the help with field and lab work. Annika Ackermann and Roland A. Werner are greatly acknowledged for measuring biomass C and N concentrations. We thank Regine Maier for helping with the soil sampling in 2018. We also thank Dennis Imer for his scientific and Hans-Ruedi Wettstein for organisational efforts at Chamau. Many student helpers contributed to this work with their assistance in the field and in the lab. Different projects and several doctoral students helped maintaining the site, resulting in a unique and valuable longterm time series.
This work was funded by the European Union Horizon 2020 project Developing Sustainable Permanent Grassland Systems and Policies SUPER-G (grant number 774124), the SNF projects GrassGas (200021-105949) and M4P (40FA40_154245) as well as funds from ETH Zurich.