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/ae92386c-56be-4ff4-bc13-cc4f84a1486e

Feng, Jing; Grandjean, Tim; Wu, Xuerong; van de Koppel, Johan; van der Wal, Daphne (2025): Data associated with the article "Long-term phenological shifts in coastal saltmarsh vegetation reveal complex responses to climate change". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/ae92386c-56be-4ff4-bc13-cc4f84a1486e.v1

Categories

• Land and Water Management
• Ecosystem Assessment and Management
• Flora, Fauna and Biodiversity
• Climate and Climate Change
• Environment

Keywords

climate change growing season Landsat phenology remote sensing saltmarsh vegetation Western Scheldt estuary

Geolocation

Time coverage

1993-2022

Licence

CC BY 4.0

Interoperability

• RO-Crate Metadata

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by Jing Feng , Tim Grandjean , Xuerong Wu , Johan van de Koppel , Daphne van der Wal

In the publication associated with this dataset, we investigate the spatial phenology of salt marsh vegetation in the Dutch Western Scheldt estuary over the past three decades (1993–2022). Landsat-derived EVI2 (two-band enhanced vegetation index) data were exported from Google Earth Engine (GEE) and processed with the R package phenofit to extract pixel-wise phenological indicators and assess long-term vegetation dynamics. Open-source maps of emersion duration, elevation, vegetation, and ecotopes from Rijkswaterstaat were processed in ArcGIS Pro, while meteorological data from KNMI and drought index time series from the Global SPEI database (SPEIbase) were processed in R. After integrating all datasets, we generated pixel-based and formatted data tables and shapefiles, which were then used for further analysis and visualization in R. This dataset contains the processed data and R code used to produce all figures in the article, along with descriptive files detailing the original data sources.

History

• 2025-10-01 first online, published, posted

Publisher

4TU.ResearchData

Format

data tables/csv; gzipped shape files; R code/R

Associated peer-reviewed publication

Long-term phenological shifts in coastal saltmarsh vegetation reveal complex responses to climate change

References

• https://doi.org/10.1016/j.jag.2024.104337
• https://doi.org/10.1111/2041-210X.13870

Derived from

• https://rijkswaterstaatdata.nl/

Funding

• China Scholarship Council (CSC)

Organizations

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