Next Article in Journal
The Impact of Rapid Urbanization and Public Housing Development on Urban Form and Density in Addis Ababa, Ethiopia
Previous Article in Journal
Modelling Development of Riparian Ranchlands Using Ecosystem Services at the Aravaipa Watershed, SE Arizona
Previous Article in Special Issue
Valuing Our National Parks: An Ecological Economics Perspective
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle

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

Centre of Biodiversity and Sustainable Land Use, University of Goettingen, Büsgenweg 1, 37077 Göttingen, Germany
*
Author to whom correspondence should be addressed.
Current Affiliation: Leibniz Centre for Agricultural Landscape Research (ZALF), Research Platform Data, Eberswalder Straße 84, 15374 Müncheberg, Germany.
Received: 27 February 2019 / Revised: 5 April 2019 / Accepted: 12 April 2019 / Published: 18 April 2019
(This article belongs to the Special Issue Exploring the Relationships between Land Use and Ecosystem Services)
  |  
PDF [1677 KB, uploaded 18 April 2019]
  |  

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. View Full-Text
Keywords: arable land use pattern; maize; k-means; cluster analysis; Land Parcel Identification System; crop rotation arable land use pattern; maize; k-means; cluster analysis; Land Parcel Identification System; crop rotation
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Stein, S.; Steinmann, H.-H.; Isselstein, J. Linking Arable Crop Occurrence with Site Conditions by the Use of Highly Resolved Spatial Data. Land 2019, 8, 65.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Land EISSN 2073-445X Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top