/2018_riverbank_vegetation_river_inn

Data and code of Bauer et al. (2018) Riv Res Appl

Primary LanguageRCreative Commons Attribution 4.0 InternationalCC-BY-4.0

Data and code for Bauer et al. (2018) River Res Appl

Markus Bauer , Romy Harzer , Katharina Strobl and Johannes Kollmann

Data and code for:

Bauer M, Harzer R, Strobl K, Kollmann J (2018) Resilience of riparian vegetation after restoration measures on River Inn.River Research and Applications 34, 451–460.

DOI:[10.1002/rra.3255]

Study region: River Inn around Wasserburg

Content of the repository

  1. Data: the folder data contains

    • The raw and processed data files of the vegetation surveys, site conditions, and functional plant traits (.csv)
  2. Outputs: the folder outputs contains

    • The figures (.tiff) generated.
  3. R: the folder R contains

    • Scripts (.R) for statistical analyses and to generate all figures used in the manuscript.

Package versioning

The used versions of R and the packages are saved in 2018_riverbank_vegetation_river_inn/renv.lock.

You can restore this state by executing renv::restore() in the console.

Citation

CC BY 4.0

This work is licensed under a Creative Commons Attribution 4.0 International License.

When using the data available in this repository, please cite the original publication and the dataset.

Publication

Bauer M, Harzer R, Strobl K, Kollmann J (2018) Resilience of riparian vegetation after restoration measures on River Inn. – River Research and Applications 34, 451–460. https://doi.org/10.1002/rra.3255

Dataset

Bauer M, Harzer R, Strobl K, Kollmann J (2022) Data and code for Bauer et al. (2018) Riv Res Appl (v1.1.0) [Data set]. – Zenodo. https://doi.org/10.5281/zenodo.6078108

Contact markus1.bauer@tum.de for any further information.