Data underlying the research paper: "Plant species, inundation, and sediment grain size control the development of sediment stability in tidal marshes"

DOI:10.4121/844133cd-f6f5-4d2b-ae22-3e19f124d0eb.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/844133cd-f6f5-4d2b-ae22-3e19f124d0eb

Datacite citation style

Stoorvogel, Marte; de Smit, J.C. (Jaco); Wiesebron, Lauren E.; van Belzen, Jim; van de Koppel, Johan et. al. (2024): Data underlying the research paper: "Plant species, inundation, and sediment grain size control the development of sediment stability in tidal marshes". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/844133cd-f6f5-4d2b-ae22-3e19f124d0eb.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

We examined the rate at which sediment stability builds up in tidal marshes under the influence of establishment of pioneer marsh vegetation species on initially bare tidal flats and by which factors this rate is influenced. To study this rate under pioneer species that grow at different densities, we measured proxies of sediment stability over an age gradient in six tidal marshes in the Western Scheldt estuary in the Netherlands. In three of these tidal marshes, densely growing Spartina anglica occurs as the dominant pioneer species, whereas less densely growing Scirpus maritimus is the dominant pioneer species in the other three tidal marshes. By determining tidal marsh age and by measuring sediment surface elevation and sediment properties, we were able to study the effects of these variables on the build-up of sediment stability.

This dataset contains all data on sediment stability, tidal marsh age, surface elevation, and sediment properties that we measured in the six tidal marshes.

History

  • 2024-08-30 first online, published, posted

Publisher

4TU.ResearchData

Format

Read me file: *.txt; Datasets: *.xlsx

Organizations

NIOZ Royal Netherlands Institute for Sea Research, Department of Estuarine and Delta Systems;
Utrecht University, Department of Physical Geography;
HZ University of Applied Sciences, Department of Technology, Water & Environment, Building with Nature Research Group;
Wageningen Marine Research, Wageningen University & Research;
University of Groningen, Groningen Institute for Evolutionary Life Sciences, Conservation Ecology Group;
University of Antwerp, Department of Biology, ECOSPHERE Research Group

DATA

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