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https://doi.org/10.5194/soil-2020-30
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/soil-2020-30
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: original research article 16 Jun 2020

Submitted as: original research article | 16 Jun 2020

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Long-term Field Experiments in Germany: Classification and spatial Representation

Meike Grosse, Wilfried Hierold, Marlen C. Ahlborn, and Katharina Helming Meike Grosse et al.
  • Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Straße 84, Müncheberg, 15374, Germany

Abstract. The collective analysis of long-term field experiments (LTFE) can be used for detecting changes in soil properties and yield such as induced by climate change. However, information about existing LTFEs is scattered, and the research data are not easily accessible. In this study, meta-information on LTFEs in Germany is compiled and their spatial representation is analysed. The study is conducted within the framework of the BonaRes project, which, inter alia, has established a central access point for LTFE information and research data. A total of 205 LTFEs is identified with a minimum duration of twenty years and research in the context of soil and yield. Of these, 140 LTFEs are ongoing. LTFEs are categorized into fertilization, tillage, and crop rotation experiments. The spatial representation is analysed according to the climatic water balance (CWB) and the Müncheberger Soil Quality Rating (MSQR). The results show that, in general, the LTFEs well represent the area shares of both the CWB and the MSQR classes. 89 % of the arable land and 65 % of the grassland in Germany is covered by the three driest CWB classes, hosting 89 % and 71 % of the arable and grassland LTFE, respectively. LTFE cover all six MSQR classes, however with a bias towards the high and very high soil quality classes. The results confirm the very high potential of LTFE data for spatially differentiated analyses and modelling. However, reuse is restricted by the difficult access to LTFE research data. The common database is an important step in overcoming this restriction.

Meike Grosse et al.

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Long-term Field Experiments in Germany [Data set] M. Grosse and W. Hierold https://doi.org/10.20387/BonaRes-3tr6-mg8r

Meike Grosse et al.

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Short summary
Agricultural long-term field experiments (LTFE) are an important basis for soil and agricultural sciences. A compilation of metadata and research data from LTFE in Germany shall enhance networking and simplify the access to this most valuable research infrastructure. The common analyses of similar LTFE on different sites can broaden the results. Therefore, LTFE were classified and their distribution in Germany was compared to two complex site classifications.
Agricultural long-term field experiments (LTFE) are an important basis for soil and agricultural...
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