10.5880/PIK.2019.009 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 2019-04-12 urn:ogc:def:crs:EPSG:4326 A global gridded data set on tillage (V. 1.1) 2019-04-12 revision 2018-10-01 creation doi:10.5880/PIK.2019.009 Porwollik, Vera Potsdam Institute for Climate Impact Research, Potsdam, Germany author Rolinski, Susanne Potsdam Institute for Climate Impact Research, Potsdam, Germany author Müller, Christoph Potsdam Institute for Climate Impact Research, 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 type and spatial distribution. This dataset is the result of a study on global classification of tillage practices and the spatially explicit mapping of crop-specific tillage systems for around the year 2005. This global gridded tillage system data set is dedicated to modeling communities interested in the quantitative assessment of biophysical and biogeochemical impacts of land use and soil management on cropland. The data set is complemented by the publication of the R- code and can be used for reproducing and build upon for scenarios including the expansion of sustainable soil management practices as Conservation Agriculture (Porwollik et al. 2018, http://doi.org/10.5880/PIK.2018.013). Both, the data set and the R-code are described in detail in Porwollik et al. (2018, ESSD). We present the mapping result of six tillage systems for 42 crop types and potential suitable Conservation Agriculture area as the following variables: 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 = Scenario 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. GLADIS - Water erosion: Nachtergaele et al. (2011) CHANGELOG for Version 1.1 improved calculation and mapping, for details see README.PDF Complete Porwollik, Vera Potsdam Institute for Climate Impact Research, 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 Open Data Commons Open Database License (ODbL) Open Data Commons Open Database License (ODbL) 10.5880/PIK.2019.010 DOI IsContinuedBy 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 10.5194/essd-2018-152 DOI References https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups URL References 10.5880/PIK.2018.012 DOI IsNewVersionOf DOI of final ESSD Paper DOI IsSupplementTo eng geoscientificInformation 5 arc-minute (0.083333... degree) -180 180 -56 84 2005 http://doi.org/10.5880/PIK.2019.009 WWW:LINK-1.0-http--link Data Access - DOI Data Access - DOI information