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Data associated with the article "A spatiotemporal framework to assess the bio-geomorphic interplay of saltmarsh vegetation and tidal emergence (Western Scheldt estuary)"

DOI:10.4121/fe23a0c6-b13a-49c5-accf-a09dc211983d.v1
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DOI: 10.4121/fe23a0c6-b13a-49c5-accf-a09dc211983d

Datacite citation style

Feng, Jing; Grandjean, Tim; van de Koppel, Johan; van der Wal, Daphne (2024): Data associated with the article "A spatiotemporal framework to assess the bio-geomorphic interplay of saltmarsh vegetation and tidal emergence (Western Scheldt estuary)". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/fe23a0c6-b13a-49c5-accf-a09dc211983d.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

In the publication associated with this dataset we study the links between changed emergence and plant diversity/cover by using emersion duration maps and vegetation maps of the Dutch Western Scheldt estuary over a period of decades (1993-2016). Using open-source maps of emersion duration, elevation, vegetation, and ecotopes from Rijkswaterstaat, we preprocessed the data in Google Earth Engine (GEE) and ArcGIS. The pixel-based or formatted data tables were then exported after integrating all data for further analysis and visualization in R. This dataset contains the processed data and R code used for generating all figures in the article. We also list original data sources in the descriptive files.

History

  • 2024-12-23 first online, published, posted

Publisher

4TU.ResearchData ROR

Format

data tables/csv; R code/txt

Funding

  • China Scholarship Council (CSC)

Organizations

NIOZ Royal Netherlands Institute for Sea Research, Department of Estuarine and Delta Systems
University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC)
University of Groningen, Groningen Institute for Evolutionary Life Sciences

Data

Files (1)

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