10.5880/PIK.2018.013 Porwollik, Vera Vera Porwollik 0000-0001-5866-8538 Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, P.O. Box 60 12 03, D-14412 Potsdam, Germany Rolinski, Susanne Susanne Rolinski Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, P.O. Box 60 12 03, D-14412 Potsdam, Germany Müller, Christoph Christoph Müller 0000-0002-9491-3550 Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, P.O. Box 60 12 03, D-14412 Potsdam, Germany GFZ Data Services 2018 tillage plowing soil management gridded data Conservation Agriculture ploughing EARTH SCIENCE > AGRICULTURE > AGRICULTURAL PLANT SCIENCE > CROPPING SYSTEMS EARTH SCIENCE > AGRICULTURE > SOILS Porwollik, Vera Vera Porwollik 0000-0001-5866-8538 Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, P.O. Box 60 12 03, D-14412 Potsdam, Germany Porwollik, Vera Vera Porwollik 0000-0001-5866-8538 Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, P.O. Box 60 12 03, D-14412 Potsdam, Germany Heinke, Jens Jens Heinke 0000-0001-5256-0024 Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, P.O. Box 60 12 03, D-14412 Potsdam, Germany Porwollik, Vera Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, P.O. Box 60 12 03, D-14412 Potsdam, Germany 2005 2018-10-01 Software 10.5880/PIK.2018.012 10.5194/essd-2018-152 http://www.fao.org/nr/water/aquastat/data/query/index.html http://www.fao.org/geonetwork/srv/en/main.home?uuid=221072ae-2090-48a1-be6f-5a88f061431a 10.1111/gcb.12838 10.1371/journal.pone.0105992 10.7910/DVN/DHXBJX/LVRJLF 10.7910/dvn/dhxbjx/k5hvuk http://www.fao.org/fileadmin/templates/solaw/files/thematic_reports/SOLAW_thematic_report_3_land_degradation.pdf https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups 10.5880/PIK.2019.010 1.0 MIT Licence Tillage is a central element in agricultural soil management and has direct and indirect effects on processes in the biosphere. Effects of agricultural soil management can be assessed by soil, crop, and ecosystem models but global assessments are hampered by lack of information on soil management systems. This study presents a classification of globally relevant tillage practices and a global spatially explicit data set on the distribution of tillage practices for around the year 2005.


This source code complements the dataset on the global gridded tillage system mapping described in Porwollik et al. (2018, http://doi.org/10.5880/PIK.2018.012). It shall help interested people in understanding the findings on the global gridded tillage system mapping. The code, programmed in R, can be used for reproducing and build upon for scenarios including the expansion of sustainable soil management practices as CA. Both, the data set and the R-code are described in detail in Porwollik et al. (2018, ESSD). The code is written in the statistical software 'R' using the 'raster', 'fields', and 'ncdf4' packages.


We present the mapping result of six tillage systems for 42 crop types and potentially suitable Conservation Agriculture area as variables:
1 = conventional annual tillage
2 = traditional annual tillage
3 = reduced tillage
4 = Conservation Agriculture
5 = rotational tillage
6 = traditional rotational tillage
7 = potential suitable Conservation Agriculture area


Reference system: WGS84
Geographic extent: Longitude (min, max) (-180, 180), Latitude (min, max) (-56, 84)
Resolution: 5 arc-minutes
Time period covered: around the year 2005
Type: NetCDF


Dataset sources (with indication of reference):
1. Grid cell allocation key to country: IFPRI/IIASA (2017, cell5m_allockey_xy.dbf.zip)
2. Crop-specific physical cropland: IFPRI/IIASA (2017, spam2005v3r1_global_phys_area.geotiff.zip)
3. SoilGrids depth to bedrock: Hengl et al. (2014)
4. Aridity index: FAO (2015)
5. Conservation Agriculture area: FAO (2016)
6. Income level: World Bank (2017)
7. Field size: Fritz et al. (2015)
8. Water erosion: Nachtergaele et al. (2011)
German Federal Ministry of Education and Research (BMBF) 10.13039/501100002347 01LN1317A MACMIT project