Data underlying the publication: How grazing management can maximize erosion resistance of salt marshes
doi: 10.4121/14199176.v1
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doi: 10.4121/14199176
doi: 10.4121/14199176
Datacite citation style:
Marin Diaz, Beatriz; Govers, Laura L.; van der Wal, Daphne; Olff, Han; J. Bouma, Tjeerd (2021): Data underlying the publication: How grazing management can maximize erosion resistance of salt marshes. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14199176.v1
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Dataset
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time coverage
2018
licence

This dataset contains the data obtained and utilized for the manuscript: How grazing management can maximize erosion resistance of salt marshes. The aim was to determine how salt marsh management (i.e., grazing by large vs. small grazers vs. artificial mowing), marsh elevation and marsh age affect soil stability (i.e., soil-collapse) and intrinsic lateral erodibility of salt marshes (i.e., particle-by-particle detachment). For this, soil cores were collected in high and low marshes (above and below 0.5 m MHWL respectively) of different ages. At these locations, we compared cores from grazed areas to cores inside grazer exclosures, with and without artificial mowing. The samples were exposed to waves in waves tanks and erosion was measured. The dataset includes i) the files with the erosion calculation, ii) the soil elevation measured inside and outside the exclosures, iii) a table with all the values of the vegetation and sediment variables measured for the samples with sandy subsoil and iv) a table with all the values of the vegetation and sediment variables measured for the fine-grained samples only
history
- 2021-06-02 first online, published, posted
publisher
4TU.ResearchData
associated peer-reviewed publication
How grazing management can maximize erosion resistance of salt marshes
organizations
NIOZ Royal Netherlands Institute for Sea Research, Department of Estuarine and Delta systemsConservation Ecology Group, Groningen Institute for Evolutionary Life Sciences, University of Groningen
Department of Coastal Systems, NIOZ Royal Netherlands Institute for Sea Research and Utrecht University
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente
Faculty of Geosciences, Utrecht University
DATA
files
- 2,643 bytes md5 metadata.txt
- 43,610 bytes md5 analysis_MarinDiaz_et_al_2021.R
- 11,680 bytes md5 datavariablesclay38.csv
- 31,001 bytes md5 datavariablessand.csv
- 7,099 bytes md5 datavolumeloss.csv
- 5,378 bytes md5 elev_r.csv
- download all files (zip)