Released
Dataset

Spatiotemporal variability in infiltration through biopores: earthworms, macropores and infiltration patterns

Cite as:

van Schaik, Nicolette Loes M.B.; Zangerlé, Anne; Hohenbrink, Tobias L.; Reck, Arne; Schneider, Anne-Kathrin; Schröder, Boris (2019): Spatiotemporal variability in infiltration through biopores: earthworms, macropores and infiltration patterns. V. 1.1. GFZ Data Services. http://doi.org/10.5880/fidgeo.2019.022

Status

I   N       R   E   V   I   E   W : van Schaik, Nicolette Loes M.B.; Zangerlé, Anne; Hohenbrink, Tobias L.; Reck, Arne; Schneider, Anne-Kathrin; Schröder, Boris (2019): Spatiotemporal variability in infiltration through biopores: earthworms, macropores and infiltration patterns. V. 1.1. GFZ Data Services. http://doi.org/10.5880/fidgeo.2019.022

Abstract

This dataset consists of spatially and temporally resolved data of dye-infiltration patterns, earthworms and macropores as well as supporting data, such as land use, soil moisture content, soil temperature, bulk density, and soil texture, in the Wollefsbach area of the Attert Catchment in Luxembourg (Pfister et al., 2005).

The data was gathered in six measurement campaigns in the period from May 2015 to March 2016. During each measurement campaign we measured at five random sites on each of six chosen fields: three grasslands and three agricultural fields. At each measurement site a combination of measurements was performed: infiltration patterns of blue stained water, earthworm abundance (species level), macropore counts on horizontal soil profiles (in three depths, discriminating three size classes and stained or non-stained), soil temperature and moisture contents in three depths. Finally, undisturbed soil core samples were taken during one campaign for the determination of the texture and bulk density at different sampling sites. In the data table we also include GIS derived values of elevation, slope, aspect, heat load index, and topographical wetness index. Details on all the measurement methods, GIS-analysis methods and units of the data are given below.

This data was gathered as part of the Joint Research Project “Catchments as Organised Systems” (CAOS, Zehe et al., 2014) funded by the German Research Foundation.

---------------------------------------------------
Version history:

10 February 2020, release of Version 1.1.:

The authors discovered that some rows in the data table “Earthworms_Macropores_Data.csv” for September Field 3 and Field 4 were accidentally exchanged. Compared to version 1.0, the data in rows 71 to 75 (Sept_3_1 to Sept_3_5) were exchanged with the data in rows 76 to 80 (Sept_4_1 to Sept_4_5). The authors apologise for this and ask everyone who downloaded the data of version 1.0 are advised to only use version 1.1, because there was an error which could lead to wrong results. Nevertheless, version 1.0 of the data table is available in the "previous-versions" subfolder via the Data Download link. The infiltration data included in “2019-022_vanSchaik-et-al_Infiltration_patterns.zip” remain unchanged.

Contact

  • van Schaik, N.Loes M.B. (Researcher) ; Technical University of Berlin;
  • Zangerlé, A. (Researcher) ; Ministère de l'Agriculture, de la Viticulture et de la Protection des consommateurs, Luxembourg;

Contributors

Budach, Christian; Gärtner, Julian; Schnell, Johannes; Schoof, Lisa; Schrape, Charlotte; Schulz-Hanke, Maximilian; Voigt, Karsten; Weiss-Motz, Alexander

Keywords

environment > physical environment > abiotic environment, CAOS, Catchments as Organised Systems, earthworms, biopores, infiltration patterns

GCMD Science Keywords

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      • publisher: GFZ Data Services
      • publicationYear: 2019
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        • subject: infiltration patterns
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        • relatedIdentifier (relatedIdentifierType=DOI relationType=References): 10.2136/vzj2017.08.0147
        • relatedIdentifier (relatedIdentifierType=DOI relationType=References): 10.1111/ejss.12346
        • relatedIdentifier (relatedIdentifierType=DOI relationType=References): 10.1016/j.pedobi.2018.09.001
        • relatedIdentifier (relatedIdentifierType=DOI relationType=References): 10.5194/hess-18-4635-2014
      • sizes
        • size: 2 Files
      • formats
        • format: application/octet-stream
        • format: application/octet-stream
      • version: 1.1
      • rightsList
        • rights (rightsURI=http://creativecommons.org/licenses/by/4.0/): CC BY 4.0
      • descriptions
        • description (descriptionType=Abstract)
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      • geoLocations
        • geoLocation
          • geoLocationBox
            • westBoundLongitude: 5.93328
            • eastBoundLongitude: 5.97321
            • southBoundLatitude: 49.75853
            • northBoundLatitude: 49.77184
          • geoLocationPlace: Attert catchment, Luxembourg during the 2nd project phase of the CAOS Project DFG Research Group: From Catchments as Organised Systems to Models based on Functional Units FOR 1598 from 2015 to 2016
      • fundingReferences
        • fundingReference
          • funderName: Deutsche Forschungsgemeinschaft
          • funderIdentifier (funderIdentifierType=Crossref Funder ID): http://doi.org/10.13039/501100001659
          • awardNumber: SCHA1719/1-2
          • awardTitle: FOR 1598
  • dif:  /  download xml
    • DIF (xsi:schemaLocation=http://gcmd.gsfc.nasa.gov/Aboutus/xml/dif/ http://gcmd.nasa.gov/Aboutus/xml/dif/dif_v9.8.2.xsd)
      • Entry_ID: 10.5880/fidgeo.2019.022
      • Entry_Title: Spatiotemporal variability in infiltration through biopores: earthworms, macropores and infiltration patterns
      • Data_Set_Citation
        • Dataset_Creator: van Schaik, Nicolette Loes M.B.; Zangerlé, Anne; Hohenbrink, Tobias L.; Reck, Arne; Schneider, Anne-Kathrin; Schröder, Boris
        • Dataset_Title: Spatiotemporal variability in infiltration through biopores: earthworms, macropores and infiltration patterns
        • Dataset_Release_Date: 2019
        • Dataset_Release_Place: Potsdam, Germany
        • Dataset_Publisher: GFZ Data Services
        • Online_Resource: http://dx.doi.org/10.5880/fidgeo.2019.022
      • Parameters
        • Category: EARTH SCIENCE
        • Topic: BIOSPHERE
        • Term: TERRESTRIAL ECOSYSTEMS
        • Variable_Level_1: AGRICULTURAL LANDS
      • Parameters
        • Category: EARTH SCIENCE
        • Topic: LAND SURFACE
        • Term: SOILS
        • Variable_Level_1: SOIL INFILTRATION
      • Parameters
        • Category: EARTH SCIENCE
        • Topic: LAND SURFACE
        • Term: SOILS
        • Variable_Level_1: SOIL TEXTURE
      • Parameters
        • Category: EARTH SCIENCE
        • Topic: LAND SURFACE
        • Term: SOILS
        • Variable_Level_1: SOIL TEMPERATURE
      • Parameters
        • Category: EARTH SCIENCE
        • Topic: LAND SURFACE
        • Term: SOILS
        • Variable_Level_1: SOIL MOISTURE/WATER CONTENT
      • Parameters
        • Category: EARTH SCIENCE
        • Topic: LAND SURFACE
        • Term: SOILS
        • Variable_Level_1: MACROFAUNA
      • Parameters
        • Category: EARTH SCIENCE
        • Topic: BIOLOGICAL CLASSIFICATION
        • Term: ANIMALS/INVERTEBRATES
        • Variable_Level_1: SEGMENTED WORMS (ANNELIDS)
      • ISO_Topic_Category: geoscientificInformation
      • Keyword: environment > physical environment > abiotic environment
      • Keyword: CAOS
      • Keyword: Catchments as Organised Systems
      • Keyword: earthworms
      • Keyword: biopores
      • Keyword: infiltration patterns
      • Spatial_Coverage
        • Southernmost_Latitude: 49.75853
        • Northernmost_Latitude: 49.77184
        • Westernmost_Longitude: 5.93328
        • Easternmost_Longitude: 5.97321
      • Data_Center
        • Data_Center_Name
          • Short_Name: Deutsches GeoForschungsZentrum GFZ
          • Long_Name: GFZ
        • Personnel
          • Role: DATA CENTER CONTACT
          • Last_Name: Deutsches GeoForschungsZentrum GFZ
      • Summary
        • Abstract: This dataset consists of spatially and temporally resolved data of dye-infiltration patterns, earthworms and macropores as well as supporting data, such as land use, soil moisture content, soil temperature, bulk density, and soil texture, in the Wollefsbach area of the Attert Catchment in Luxembourg (Pfister et al., 2005). The data was gathered in six measurement campaigns in the period from May 2015 to March 2016. During each measurement campaign we measured at five random sites on each of six chosen fields: three grasslands and three agricultural fields. At each measurement site a combination of measurements was performed: infiltration patterns of blue stained water, earthworm abundance (species level), macropore counts on horizontal soil profiles (in three depths, discriminating three size classes and stained or non-stained), soil temperature and moisture contents in three depths. Finally, undisturbed soil core samples were taken during one campaign for the determination of the texture and bulk density at different sampling sites. In the data table we also include GIS derived values of elevation, slope, aspect, heat load index, and topographical wetness index. Details on all the measurement methods, GIS-analysis methods and units of the data are given below. This data was gathered as part of the Joint Research Project “Catchments as Organised Systems” (CAOS, Zehe et al., 2014) funded by the German Research Foundation. --------------------------------------------------- Version history: 10 February 2020, release of Version 1.1.: The authors discovered that some rows in the data table “Earthworms_Macropores_Data.csv” for September Field 3 and Field 4 were accidentally exchanged. Compared to version 1.0, the data in rows 71 to 75 (Sept_3_1 to Sept_3_5) were exchanged with the data in rows 76 to 80 (Sept_4_1 to Sept_4_5). The authors apologise for this and ask everyone who downloaded the data of version 1.0 are advised to only use version 1.1, because there was an error which could lead to wrong results. Nevertheless, version 1.0 of the data table is available in the "previous-versions" subfolder via the Data Download link. The infiltration data included in “2019-022_vanSchaik-et-al_Infiltration_patterns.zip” remain unchanged.
      • Metadata_Name: DIF
      • Metadata_Version: 9.8.2
  • escidoc:  /  download xml
    • resource
      • title (xml:lang=en): Spatiotemporal variability in infiltration through biopores: earthworms, macropores and infiltration patterns
      • creator
        • creatorName: van Schaik, Nicolette Loes M.B.
        • givenName: Nicolette Loes M.B.
        • familyName: van Schaik
        • nameIdentifier (nameIdentifierScheme=ORCID): 0000-0002-5742-2859
        • affiliation: Technical University Berlin, Ecohydrology and Landscape Evaluation, Berlin, Germany
      • creator
        • creatorName: Zangerlé, Anne
        • givenName: Anne
        • familyName: Zangerlé
        • nameIdentifier (nameIdentifierScheme=ScopusID): 35723323000
        • affiliation: Ministère de l'Agriculture, de la Viticulture et de la Protection des consommateurs, Luxembourg. Luxemburg
      • creator
        • creatorName: Hohenbrink, Tobias L.
        • givenName: Tobias L.
        • familyName: Hohenbrink
        • nameIdentifier (nameIdentifierScheme=ORCID): 0000-0002-5227-0171
        • affiliation: Technische Universität Braunschweig, Landscape Ecology and Environmental Systems Analysis, Braunschweig, Germany
      • creator
        • creatorName: Reck, Arne
        • givenName: Arne
        • familyName: Reck
        • nameIdentifier (nameIdentifierScheme=ORCID): 0000-0003-4374-3202
        • affiliation: Technical University Berlin, Ecohydrology and Landscape Evaluation, Berlin, Germany
      • creator
        • creatorName: Schneider, Anne-Kathrin
        • givenName: Anne-Kathrin
        • familyName: Schneider
        • nameIdentifier (nameIdentifierScheme=ORCID): 0000-0002-1007-0622
        • affiliation: Technische Universität Braunschweig, Landscape Ecology and Environmental Systems Analysis, Braunschweig, Germany
      • creator
        • creatorName: Schröder, Boris
        • givenName: Boris
        • familyName: Schröder
        • nameIdentifier (nameIdentifierScheme=ORCID): 0000-0002-8577-7980
        • affiliation: Technical University Berlin, Ecohydrology and Landscape Evaluation, Berlin, Germany

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