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

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 (2016/2017–2018/20...

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Detalles Bibliográficos
Autores principales: Mallast, Janine, Stichnothe, Heinz, Kreuter, Thomas, Thiel, Enrico, Pommer, Claudia, Döhler, Johannes, Eissner, Florian, Kühling, Insa, Rücknagel, Jan, Pamperin, Henning, Augustin, Jürgen, Hoffmann, Mathias, Simon, Anja, Hülsbergen, Kurt-Jürgen, Maidl, Franz-Xaver, Tauchnitz, Nadine, Bischoff, Joachim, Böttcher, Falk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9288453/
https://www.ncbi.nlm.nih.gov/pubmed/35842434
http://dx.doi.org/10.1038/s41597-022-01549-2
Descripción
Sumario: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 (N(2)O and NH(3)), crop parameters (grain and straw yield, N content, etc.), soil characteristics (NH(4)-N, NO(3)-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 (N(2) 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.