A three-year data set of gaseous field emissions from crop sequence at three sites in Germany

Janine Mallast, Heinz Stichnothe, Thomas Kreuter, Enrico Thiel, Claudia Pommer, Johannes Döhler, Florian Eissner, Insa Kühling, Jan Rücknagel, Henning Pamperin, Jürgen Augustin, Mathias Hoffmann, Anja Simon, Kurt Jürgen Hülsbergen, Franz Xaver Maidl, Nadine Tauchnitz, Joachim Bischoff, Falk Böttcher

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The purpose of the StaPlaRes project was to evaluate two innovative techniques of urea fertiliser application and to quantify greenhouse gas (GHG) emissions. All GHG emissions, as well as other gaseous emissions, agronomic and environmental variables were collected for three years (2016/2017–2018/2019) at three experimental field sites in Germany. All management activities were consistently documented. Multi-variable data sets of gas fluxes (N2O and NH3), crop parameters (grain and straw yield, N content, etc.), soil characteristics (NH4-N, NO3-N, etc.), continuously recorded meteorological variables (air and soil temperatures, radiation, precipitation, etc.), management activities (sowing, harvest, soil tillage, fertilization, etc.), were documented and metadata (methods, further information about variables, etc.) described. Additionally, process-related tests were carried out using lab (N2 emissions), pot and lysimeter experiments (nitrate leaching). In total, 2.5 million records have been stored in a Microsoft Access database (StaPlaRes-DB-Thuenen). The database is freely available for (re)use by others (scientists, stakeholders, etc.) on the publication server and data repository OpenAgrar for meta-analyses, process modelling and other environmental studies.

Original languageEnglish
Article number415
JournalScientific Data
Volume9
Issue number1
DOIs
StatePublished - Dec 2022

Fingerprint

Dive into the research topics of 'A three-year data set of gaseous field emissions from crop sequence at three sites in Germany'. Together they form a unique fingerprint.

Cite this