The doi 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: 10.4121/18131471

Best, Uwe; van der Wegen, Mick; Dijkstra, Jasper; Reyns, Johan; Bram van Prooijen et. al. (2022): Overview of datasets on Advancing Resilience Measures for Vegetated Coastlines (ARM4VEG), Guyana. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/18131471.v1

Dataset

• Civil Engineering
• Oceanography
• Environmental Science and Management
• Ecosystem Assessment and Management
• Flora, Fauna and Biodiversity
• Physical Geography and Environmental Geoscience
• Climate and Climate Change
• Other Earth Sciences

Avicennia germinans, bathymetry, field monitoring, Guyana, Laguncularia racemosa, mangroves, sediment concentration, sediment properties, tree characteristics, wave attenuation

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January - March 2004; November 2019 - January 2021

CC BY 4.0

• Advancing Resilience Measures for Vegetated Coastline (ARM4VEG) , Guyana

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by Uwe Best , Mick van der Wegen , Jasper Dijkstra , Johan Reyns , Bram van Prooijen , Dano Roelvink

This contains an overview of the datasets in the Collection: Advancing Resilience Measures for Vegetated Coastline (ARM4VEG) , Guyana.
Title of the dataset:Advancing Resilience Measures for Vegetated Coastlines (ARM4VEG)_ Guyana
Corresponding Author: - Uwe S. N. Best,
Contact Information:- U.S.N.Best@tudelft.nl
Hydraulic Engineering - Coastal Engineering, Faculty of Civil Engineering and Geosciences, Delft University of TechnologyP.O. Box 5058 2600 GB Delft The Netherlands
Summary of Data Collection Campaign & Setup
This dataset contains data collected during mangrove-mudflat campaign in Guyana, as part of Uwe Best's PhD Thesis project. It is being made public both to act as supplementary data for publications and the PhD thesis of Uwe Best and in order for other researchers to use this data in their own work. There were a total of six deployments, each with varying durations, and spanned the period from November 22nd, 2019 to January 11th, 2020. Eight frames were installed along the main transect, consisting of scaffolding pipes and connectors.
All locations are described below:
- MB 1: relative dense forest in the back of the mangrove 23 m away from the edge of the toe of the concrete dyke (sea wall).
- MB 2: approximately 100 m from the toe of the seawall within the mangrove.
- MB 3: approximately 200 m from the toe of the seawall within the mangrove fringe.
- MB 4: the seaward edge of the mangrove fringe.
- MB 5, 6, 7, 8: the mudflat in front of the mangrove, 1620 m seaward.
Software NeededThe processing of this data requires the use of MATLAB and Microsoft Excel.

• 2022-01-11 first online, published, posted

4TU.ResearchData

zipped text (.txt) files and kml files.

• The fieldwork presented in this paper was conducted under the research permit “Mangrove- Mudflat Coastlines Impacted by Sea Level Rise (SLR)- Hydrodynamics and Sediment Dynamics, Chateau Margot Mangroves, Guyana’. It was funded jointly by the Mangrove Research of NAREI (Project #:2019-01) and the PhD Project, 107440 (IHE Delft – Deltares).

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering, Coastal Engineering, instead of Delft University of Technology;

IHE Delft Institute for Water Education, Department of Water Science and Engineering;

Deltares, Ecosystems and Sediment Dynamics (ESD), Marine and Coastal Systems : Applied Morphodynamics (AMO);

Guyana Restoration and Management Department, National Agricultural Research and Extension Institute (NAREI);

Ministry of Public Works, Guyana.