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  • Typology of agricultural land systems of Germany at a resolution of 100 hectares.
  • Pingel, Martin; Julius Kühn Institute (JKI) – Federal Research Centre for Cultivated Plants
    Röder, Norbert; Johann Heinrich von Thünen Institute - Federal Research Institute for Rural Areas, Forestry and Fisheries
    Sinn, Christoph; Julius Kühn Institute (JKI) – Federal Research Centre for Cultivated Plants
    Golla, Burkhard; Julius Kühn Institute (JKI) – Federal Research Centre for Cultivated Plants
  • 2023-02-13
  • Pingel, M., N. Röder, C. Sinn, and B. Golla. 2023. Typology of agricultural land systems of Germany at a resolution of 100 hectares. ver 1. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-28).
  • The decline of farmland biodiversity has widely been recognized in society and politics. Many factors that negatively affect biodiversity are associated with agriculture. European policy instruments and measures, which aimed at mitigating these impacts, have not been successful in counteracting the negative trends of farmland biodiversity. There is a growing recognition that conservation policy instruments need to be spatially targeted, given the heterogeneity of agricultural landscapes and extent of agricultural intensification in Europe.

    For Germany, we developed a typology of agricultural land systems (ALS) that captures the regional characteristics of agricultural intensification. For this purpose, we applied a cluster-analysis integrating indicators for land cover, landscape structure, land-use intensity, climate and relief at a resolution of with a spatial resolution of 1 km².

    As a result, we present a typology of eight ALS ranging from large-scale, intensive arable farming to extensive grassland/forest mosaics in mountains.

    The data included in this package contain the typology ALS and the corresponding values for the indicators for each hexagonal grid cell of 1 km²cell size.

    The typology of ALS could be used as a spatial framework for regional targeting of conservation policy instruments and for monitoring regional-specific trends of biodiversity indicators and their drivers.

    The data are supplement to the publication: Pingel, M.; Sietz, D.; Röder, N., Klimek, S.; Golla, B. (2022, in prep.): Typology of agricultural land systems to support targeted biodiversity measures: A case study from Germany. (Citation will be added upon publication).

  • N: 55.06787      S: 47.2647      E: 15.05431      W: 5.85734
  • This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
  • DOI PLACE HOLDER
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