Analysing Data of the Integrated Administration and Control System (IACS) to Detect Patterns of Agricultural Land-Use Change at Municipality Level

Nicola Lüker-Jans; Dietmar Simmering; Annette Otte

doi:10.3097/LO.201648

Authors

Nicola Lüker-Jans Justus-Liebig-University Giessen, Division of Landscape Ecology and Landscape Planning, Heinrich-Buff-Ring 26-32, Giessen, D-35392, Germany
Dietmar Simmering Ingenieurbüro für Umweltplanung Dr. J. Karl, Staufenberger Straße 67, Staufenberg, D-35460, Germany
Annette Otte Justus-Liebig-University Giessen, Division of Landscape Ecology and Landscape Planning, Heinrich-Buff-Ring 26-32, Giessen, D-35392, Germany https://orcid.org/0000-0002-4583-9884

DOI:

https://doi.org/10.3097/LO.201648

Keywords:

Land-use data set, Identification of sub-regions, Cluster analysis, Classification, Agri-environmental schemes, Germany

Abstract

European landscapes have featured considerable changes towards intensification and marginalisation. These major trends are expected to continue in the future. Besides, the cultivation of bioenergy crops has become an important factor in agricultural land use. A thorough understanding of land-use processes for management purposes is needed. In this study, the spatial and temporal pattern of agricultural land use and land-use change was classified at the scale of municipalities from 2005 to 2010. The study region was the German federal state Hesse. By using data of the Integrated Administration and Control System (IACS) of the European Union and with the help of k-means cluster analysis, five types of agricultural land-use patterns and dynamics (TLPDs) were detected. These TLPDs represent different sub-regions. Sub-regions with favourable physical conditions for cultivation are dominated by arable land. A progressive land-use change occurred by conversion of grassland to arable land. In sub-regions, where physical conditions are rather unfavourable, especially in mountainous areas, grassland is the predominant land use. But on the remaining arable land, there is a slight change in favour of maize. The knowledge of sub-regions with spatially and temporally different agricultural land use could be utilised to develop land management instruments like site-specific agri-environmental schemes.

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