Steinmann, Horst-Henning

[["dc.bibliographiccitation.artnumber","65"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Land"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Stein, Susanne"],["dc.contributor.author","Steinmann, Horst-Henning"],["dc.contributor.author","Isselstein, Johannes"],["dc.date.accessioned","2019-07-09T11:51:13Z"],["dc.date.available","2019-07-09T11:51:13Z"],["dc.date.issued","2019"],["dc.description.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"],["dc.identifier.doi","10.3390/land8040065"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16078"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59901"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.orgunit","Zentrum für Biodiversität und Nachhaltige Landnutzung"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","300"],["dc.subject.ddc","320"],["dc.title","Linking Arable Crop Occurrence with Site Conditions by the Use of Highly Resolved Spatial Data"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","30"],["dc.bibliographiccitation.journal","European Journal of Agronomy"],["dc.bibliographiccitation.lastpage","40"],["dc.bibliographiccitation.volume","92"],["dc.contributor.author","Stein, Susanne"],["dc.contributor.author","Steinmann, Horst-Henning"],["dc.date.accessioned","2020-12-10T14:23:38Z"],["dc.date.available","2020-12-10T14:23:38Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1016/j.eja.2017.09.010"],["dc.identifier.issn","1161-0301"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/71996"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation.orgunit","Zentrum für Biodiversität und Nachhaltige Landnutzung"],["dc.title","Identifying crop rotation practice by the typification of crop sequence patterns for arable farming systems – A case study from Central Europe"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","126632"],["dc.bibliographiccitation.journal","European Journal of Agronomy"],["dc.bibliographiccitation.volume","141"],["dc.contributor.author","Jänicke, Clemens"],["dc.contributor.author","Goddard, Adam"],["dc.contributor.author","Stein, Susanne"],["dc.contributor.author","Steinmann, Horst-Henning"],["dc.contributor.author","Lakes, Tobia"],["dc.contributor.author","Nendel, Claas"],["dc.contributor.author","Müller, Daniel"],["dc.date.accessioned","2022-11-01T10:17:47Z"],["dc.date.available","2022-11-01T10:17:47Z"],["dc.date.issued","2022"],["dc.identifier.doi","10.1016/j.eja.2022.126632"],["dc.identifier.pii","S1161030122001800"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/116906"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-605"],["dc.relation.issn","1161-0301"],["dc.rights.uri","https://www.elsevier.com/tdm/userlicense/1.0/"],["dc.title","Field-level land-use data reveal heterogeneous crop sequences with distinct regional differences in Germany"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]