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
CC BY-NC-ND 4.0
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 (6)
- 43,610 bytesMD5:
2c173d6ade4de55d012ad1e466a213bf
analysis_MarinDiaz_et_al_2021.R - 11,680 bytesMD5:
2b139cad20045676c4ce0da57f6c26de
datavariablesclay38.csv - 31,001 bytesMD5:
e01f629d73b18c44a2ec1f03ec98baf6
datavariablessand.csv - 7,099 bytesMD5:
1a72475f411407de2fcd8319dd5c806f
datavolumeloss.csv - 5,378 bytesMD5:
b1417147b0b308dc3f10b3268ce4393b
elev_r.csv - 2,643 bytesMD5:
fce72b66fc5c806514e8d31ab2660cfb
metadata.txt -
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