Cropland nitrogen surplus trends in Europe

Publication Please cite this publication if you use the dataset or code: Batool, M., de Vries, W., Ros, G. H., Sutton, M. A., Sarrazin, F. J., Bhatia, U., Goyal, S. S., Peer, G. and Kumar, R. A decade of missed opportunities for nitrogen pollution reduction in Europe, submitted to Nature Geoscience. Data description (v1): This archive contains the data and R code used to reproduce the cropland nitrogen (N) surplus trend analysis for Europe. The dataset covers EU27 plus Norway, Switzerland and the United Kingdom for the period 1991-2020. It includes annual cropland N-balance components, decadal trend estimates and component contribution tables used to assess changes in cropland N surplus across Europe. The analysis-ready input data include synthetic fertilizer N input, animal manure N input, biological N fixation, atmospheric N deposition, harvested crop N output and cropland area. The R scripts calculate annual cropland N surplus, estimate decade-specific trends for 1991-2000, 2001-2010 and 2011-2020, and quantify the relative contribution of individual N-balance components to N surplus trends. Folder structure: data/Input tables used by the R scripts. R/R scripts for preparing annual N-balance tables, estimating decadal trends, calculating component contributions and generating check figures. outputs/source_data/Generated source-data tables, including annual component values, decadal trend estimates and component contribution results. outputs/figures/Simple check figures generated from the source-data tables. outputs/validation_summary.csvBasic validation checks, including the N surplus calculation, contribution sums, missing values and selected country contribution values. SESSION_INFO.txtR version and package information from the test run. Units:Annual N-balance values are expressed as kg N ha-1 yr-1 for cropland. Decadal trend values are expressed as kg N ha-1 yr-1 decade-1. Contribution values are expressed as percentages. Time period:1991-2020Contact: Further queries regarding these datasets can be directed to Masooma Batool ([e-mail]) and Rohini Kumar ([e-mail]).