10.5880/PIK.2018.013 eng dataset GFZ German Research Centre for Geosciences datapub@gfz-potsdam.de http://www.gfz-potsdam.de Helmholtz-Centre Potsdam - GFZ German Research Centre for Geosciences Helmholtz-Centre Potsdam - GFZ German Research Centre for Geosciences pointOfContact 2020-03-10 urn:ogc:def:crs:EPSG:4326 A global gridded data set on tillage - R-code 2020-03-10 revision 2018-10-01 creation doi:10.5880/PIK.2018.013 Porwollik, Vera Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, P.O. Box 60 12 03, D-14412 Potsdam, Germany author Rolinski, Susanne Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, P.O. Box 60 12 03, D-14412 Potsdam, Germany author Müller, Christoph Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, P.O. Box 60 12 03, D-14412 Potsdam, Germany author GFZ Data Services publisher 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) Complete Porwollik, Vera Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, P.O. Box 60 12 03, D-14412 Potsdam, Germany PhD candidate vera.porwollik@pik-potsdam.de https://www.pik-potsdam.de/members/verapor informtion pointOfContact tillage plowing soil management gridded data Conservation Agriculture ploughing EARTH SCIENCE > AGRICULTURE > AGRICULTURAL PLANT SCIENCE > CROPPING SYSTEMS EARTH SCIENCE > AGRICULTURE > SOILS NASA/GCMD Earth Science Keywords publication MIT Licence MIT Licence 10.5880/PIK.2018.012 DOI IsContinuedBy 10.5194/essd-2018-152 DOI IsSupplementTo http://www.fao.org/nr/water/aquastat/data/query/index.html URL References http://www.fao.org/geonetwork/srv/en/main.home?uuid=221072ae-2090-48a1-be6f-5a88f061431a URL References 10.1111/gcb.12838 DOI References 10.1371/journal.pone.0105992 DOI References 10.7910/DVN/DHXBJX/LVRJLF DOI References 10.7910/dvn/dhxbjx/k5hvuk DOI References http://www.fao.org/fileadmin/templates/solaw/files/thematic_reports/SOLAW_thematic_report_3_land_degradation.pdf URL References https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups URL References 10.5880/PIK.2019.010 DOI IsPreviousVersionOf eng geoscientificInformation http://doi.org/10.5880/PIK.2018.013 WWW:LINK-1.0-http--link Data Access - DOI Data Access - DOI information