Data · dataset · 2025
Dataset beloning to "Evaluation of Riverine Macro- and Mesoplastic Monitoring Approaches"
Listed in DANS Data Station Physical and Technical Sciences
This study investigates how different monitoring approaches, e.g., larvae net, trawl net, and stow net, affect the observed abundance and composition of macro- and mesoplastics in the River Rhine.
Description
Additionally, we performed an analysis highlighting the strengths, weaknesses, opportunities, and threats (SWOT analysis) of the three methods. During trawl net and stow net monitoring, more unique macro- and mesoplastics categories were found in comparison with simultaneous larvae net monitoring.
However, macro- and mesoplastics concentrations were significantly higher in the larvae net samples than in the trawl net and stow net samples, indicating that the plastic recovery rates depend on the sampling technique. The SWOT analysis pointed towards a better overall performance of the trawl net. The outcome of the current study can be used to support policymakers, industry, and the scientific community to devise a successful monitoring strategy for macro- and mesoplastics pollution in rivers, where the SWOT analysis facilitates the choice of the approach that best aligns with the specific monitoring goals and the environmental conditions of the target area
Links
Where it is published
- Dataverse dataset page phys-techsciences.datastations.nl/dataset.xhtml?persistentId=doi%3A10.17026%2FPT%2FAWUCI7 ↗
landing page · from phys techsciences datastations nl
- DOI doi.org/10.17026/pt/awuci7 ↗
DOI / persistent id · from phys techsciences datastations nl
Catalogue records · 1
- Dataverse API phys-techsciences.datastations.nl/api/datasets/:persistentId/?persistentId=doi%3A10.17026%2FPT%2… ↗
metadata API · from phys techsciences datastations nl
Topics
- Stated by source
- Earth and Environmental Sciences
- From keywords
- Earth & Environmental Science
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DANS Data Station Physical and Technical Sciences | doi:10.17026/PT/AWUCI7 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:earth-and-environmental-sciences | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| created_date | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | |
| description | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /description |
| publication_date | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | |
| title | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /name |
| updated_date | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | |
| version_label | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 |