University of Antwerp Data Repository
Published March 31, 2022 | Version 1.2
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Biogeomorphic modeling to assess the resilience of tidal-marsh restoration to sea level rise and sediment supply - Supporting code and data

Creators

  • 1. University of Antwerp & Boston University
  • 2. NIOZ Royal Netherlands Institute for Sea Research & University of Antwerp
  • 3. University of Delaware
  • 4. Flanders Hydraulics Research
  • 5. University of Antwerp
  • 6. Boston University
  • 7. NIOZ Royal Netherlands Institute for Sea Research
  • 8. NIOZ Royal Netherlands Institute for Sea Research & University of Groningen

Description

Code and data to reproduce figures and analyses of the paper:

Gourgue, O., van Belzen, J., Schwarz, C., Vandenbruwaene, W., Vanlede, J., Belliard, J.-P., Fagherazzi, S., Bouma, T.J., van de Koppel, J., and Temmerman, S.: Biogeomorphic modeling to assess resilience of tidal marsh restoration to sea level rise and sediment supply, Earth Surf. Dynam., submitted.

Standard Python dependencies:

  • GDAL
  • Geopandas
  • Matplotlib
  • NumPy
  • Rasterio
  • SciPy
  • Seaborn
  • Shapely
  • scikit-learn

Third-party Python dependencies:

  • Centerline (https://github.com/fitodic/centerline)
  • pputils (https://github.com/pprodano/pputils)
  • pysheds (https://github.com/mdbartos/pysheds)

In-house Python dependencies:

  • Demeter 1.0.5 (https://doi.org/10.5281/zenodo.5205258)
  • OGTools 1.1 (https://doi.org/10.5281/zenodo.3994952)
  • TidalGeoPro 0.1 (https://doi.org/10.5281/zenodo.5205285)

Notes

This project has received funding from the Vlaams-Nederlandse Scheldecommissie (VNSC), the European Union's Horizon 2020 research and innovation program (Marie Skłodowska-Curie Actions – global postdoctoral fellowship – grant nr. 798222) and the Research Foundation – Flanders (FWO – fundamental research project – grant nr. G060018N). The resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation – Flanders (FWO) and the Flemish Government. SF was partly funded by the USA National Science Foundation awards 1637630 (PIE LTER) and 1832221 (VCR LTER).

Files

Figures.zip

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Additional details

Funding

European Commission
TIGER - Tidal marshes: bio-geomorphic self-organization and its implications for resilience to sea level rise and changing sediment supply 798222
U.S. National Science Foundation
LTER: Climate drivers, dynamics, and consequences of ecosystem state change in coastal barrier systems 1832221