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Data and code for Bauer et al. (2018) Tuexenia

Name: Data and code for Bauer et al. (2018) Tuexenia
Keywords: floodplain, functional plant traits, dam, restoration, alpine rivers, alluvial forests, species composition, vegetation structure, weir, functional traits

Research datakeyboard_double_arrow_right Dataset 12 Feb 2022 English Publisher:Zenodo

Authors: Markus Bauer; Kilian Dorbath; Johannes Kollmann;

doi: 10.5281/zenodo.6054867 , 10.5281/zenodo.7096188 , 10.5281/zenodo.6054868 , 10.5281/zenodo.6055156 , 10.5281/zenodo.6125176

Data and code for Bauer et al. (2018) Tuexenia

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Abstract

Data and code for: Bauer M, Dorbath K, Kollmann J (2018) Bauer M, Dorbath K, Kollmann J (2018). Alluvial forest vegetation in an active and inactive alpine floodplain – a case study from River Ammer (Bavaria). – Tuexenia 38, 43-60. DOI: 10.14471/2018.38.006 GitHub README

Related Organizations

Technical University of Munich
Germany
Ludwig-Maximilians-Universität München
Germany

Keywords

floodplain, functional plant traits, dam, restoration, alpine rivers, alluvial forests, species composition, vegetation structure, weir, functional traits, distrubance

4 Research products, page of 1

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average