Description
This data publication contains the materials, the raw data, relevant processed data and analysis of a german-wide, representative survey on river landscapes. The survey was designed by the Leibniz Universität Hannover, Institute of Environmental Planning. It was conducted by the Ersult GmbH (Göttingen, Germany) in early 2018. The main element of the survey was a choice experiment, where participants should decide between different scenarios of river restoration. We concentrated on the key element large wood and its benefits regarding ecosystem services and people. For this, we offered ecosystem service-related information in addition to the choice attributes. The choice experiment was performed by three different sub-samples (groups). Group 1 only received ordinally-scaled qualitative information, group 2 cardinally-scaled quantifications and group 3 monetary information [€]. The survey is part of the research and restoration project Wilde Mulde - Revitalization of a wild river landscape in central Germany (WilMu) (https://wilde-mulde.de/en/ and https://www.umwelt.uni-hannover.de/de/forschungsprojekte/forschungsprojekt-detailansicht/projects/revitalizing-river-landscapes-assessment-and-evaluation-of-ecosystem-services-and-the-importance-o/)
| Date made available | 2021 |
|---|---|
| Publisher | Forschungsdaten-Repositorium der LUH |
| Date of data production | 2018 |
Research output
- 1 Article
-
Why people like or dislike large wood in rivers—a representative survey of the general public in Germany
Gapinski, C., Hermes, J. & von Haaren, C., 7 Feb 2021, In: River research and applications. 37, 2, p. 187-197 11 p.Research output: Contribution to journal › Article › Research › peer review
Open Access
Projects
- 1 Finished
-
WilMu: Collaborative project: Wilde Mulde - Revitalizing river landscapes – assessment and evaluation of ecosystem services and the importance of communication
von Haaren, C. (Principal Investigator), Albert, C. (Project staff), Gapinski, C. (Project staff) & Hermes, J. (Project staff)
1 Dec 2015 → 30 Nov 2020
Project: Research
Cite this
- DataSetCite