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Linking Arable Crop Occurrence with Site Conditions by the Use of Highly Resolved Spatial Data

Susanne Stein, Horst-Henning Steinmann and Johannes Isselstein
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Susanne Stein: Centre of Biodiversity and Sustainable Land Use, University of Goettingen, Büsgenweg 1, 37077 Göttingen, Germany
Horst-Henning Steinmann: Centre of Biodiversity and Sustainable Land Use, University of Goettingen, Büsgenweg 1, 37077 Göttingen, Germany
Johannes Isselstein: Centre of Biodiversity and Sustainable Land Use, University of Goettingen, Büsgenweg 1, 37077 Göttingen, Germany

Land, 2019, vol. 8, issue 4, 1-14

Abstract: Agricultural land use is influenced in different ways by local factors such as soil conditions, water supply, and socioeconomic structure. We investigated at regional and field scale how strong the relationship of arable crop patterns and specific local site conditions is. At field scale, a logistic regression analysis for the main crops and selected site variables detected, for each of the analyzed crops, its own specific character of crop–site relationship. Some crops have diverging site relations such as maize and wheat, while other crops show similar probabilities under comparable site conditions, e.g., oilseed rape and winter barley. At the regional scale, the spatial comparison of clustered variables and clustered crop pattern showed a slightly stronger relationship of crop combination and specific combinations of site variables compared to the view of the single crop–site relationship.

Keywords: arable land use pattern; maize; k-means; cluster analysis; Land Parcel Identification System; crop rotation (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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