Articles | Volume 14, issue 5
https://doi.org/10.5194/essd-14-2445-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-2445-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
24 May 2022
Data description paper |
| 24 May 2022
| 24 May 2022
Wave attenuation potential, sediment properties and mangrove growth dynamics data over Guyana's intertidal mudflats: assessing the potential of mangrove restoration works
Department of Coastal & Urban Risk & Resilience, IHE Delft Institute for Water Education, P.O. Box 3015, 2601 DA Delft, the Netherlands
Department of Hydraulic Engineering, Delft University of Technology, P.O. Box 5, 2600 AA Delft, the Netherlands
Mick van der Wegen
Department of Coastal & Urban Risk & Resilience, IHE Delft Institute for Water Education, P.O. Box 3015, 2601 DA Delft, the Netherlands
Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Jasper Dijkstra
Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Johan Reyns
Department of Coastal & Urban Risk & Resilience, IHE Delft Institute for Water Education, P.O. Box 3015, 2601 DA Delft, the Netherlands
Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Department of Hydraulic Engineering, Delft University of Technology, P.O. Box 5, 2600 AA Delft, the Netherlands
Bram C. van Prooijen
Department of Hydraulic Engineering, Delft University of Technology, P.O. Box 5, 2600 AA Delft, the Netherlands
Dano Roelvink
Department of Coastal & Urban Risk & Resilience, IHE Delft Institute for Water Education, P.O. Box 3015, 2601 DA Delft, the Netherlands
Deltares, P.O. Box 177, 2600 MH Delft, the Netherlands
Department of Hydraulic Engineering, Delft University of Technology, P.O. Box 5, 2600 AA Delft, the Netherlands
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Cited
13 citations as recorded by crossref.
- Integrating SAR, Optical, and Machine Learning for Enhanced Coastal Mangrove Monitoring in Guyana K. Chan-Bagot et al. 10.3390/rs16030542
- Modeling wave attenuation through vegetation patches: The overlooked role of spatial heterogeneity J. Zhang et al. 10.1063/5.0210926
- Coastline protection and restoration: A comprehensive review of China's developmental trajectory Y. Zhang et al. 10.1016/j.ocecoaman.2024.107094
- Intertidal bare mudflat and wave attenuation: A case study in the Vietnamese Mekong Delta L. Loi et al. 10.1016/j.ecoleng.2024.107320
- Comparative analysis of mangrove seedlings in natural, degraded, and restored ecosystems of Guyana S. Dookie et al. 10.1080/24749508.2024.2437189
- Effects of sea-level rise on blue carbon stocks of mangrove ecosystems: insights from Pohnpei Island, Federated States of Micronesia K. Fujimoto et al. 10.20517/cf.2023.12
- Field Investigation of Wave Attenuation in a Mangrove Forest Dominated by Avicennia marina (Forsk.) Viern. X. Wei et al. 10.3390/plants14010135
- UAV-acquired imagery with photogrammetry provides accurate measures of mudflat elevation gradients and microtopography for investigating microphytobenthos patterning T. Douglas et al. 10.1016/j.srs.2023.100089
- Integrated drag coefficient formula for estimating the wave attenuation capacity of Rhizophora sp. mangrove forests F. Lopez-Arias et al. 10.3389/fmars.2024.1383368
- Vegetative nature-based solutions for coastal flood risk management: Benefits, challenges, and uncertainties Y. Daro Justine & A. Seenath 10.1016/j.ocecoaman.2024.107520
- Field Measurement and Prediction of Drag in a Planted Rhizophora Mangrove Forest M. Yoshikai et al. 10.1029/2021JC018320
- MANG@COAST: A spatio-temporal modeling approach of muddy shoreline mobility based on mangrove monitoring P. Augusseau et al. 10.1016/j.envsoft.2025.106345
- Representing the impact of Rhizophora mangroves on flow in a hydrodynamic model (COAWST_rh v1.0): the importance of three-dimensional root system structures M. Yoshikai et al. 10.5194/gmd-16-5847-2023
13 citations as recorded by crossref.
- Integrating SAR, Optical, and Machine Learning for Enhanced Coastal Mangrove Monitoring in Guyana K. Chan-Bagot et al. 10.3390/rs16030542
- Modeling wave attenuation through vegetation patches: The overlooked role of spatial heterogeneity J. Zhang et al. 10.1063/5.0210926
- Coastline protection and restoration: A comprehensive review of China's developmental trajectory Y. Zhang et al. 10.1016/j.ocecoaman.2024.107094
- Intertidal bare mudflat and wave attenuation: A case study in the Vietnamese Mekong Delta L. Loi et al. 10.1016/j.ecoleng.2024.107320
- Comparative analysis of mangrove seedlings in natural, degraded, and restored ecosystems of Guyana S. Dookie et al. 10.1080/24749508.2024.2437189
- Effects of sea-level rise on blue carbon stocks of mangrove ecosystems: insights from Pohnpei Island, Federated States of Micronesia K. Fujimoto et al. 10.20517/cf.2023.12
- Field Investigation of Wave Attenuation in a Mangrove Forest Dominated by Avicennia marina (Forsk.) Viern. X. Wei et al. 10.3390/plants14010135
- UAV-acquired imagery with photogrammetry provides accurate measures of mudflat elevation gradients and microtopography for investigating microphytobenthos patterning T. Douglas et al. 10.1016/j.srs.2023.100089
- Integrated drag coefficient formula for estimating the wave attenuation capacity of Rhizophora sp. mangrove forests F. Lopez-Arias et al. 10.3389/fmars.2024.1383368
- Vegetative nature-based solutions for coastal flood risk management: Benefits, challenges, and uncertainties Y. Daro Justine & A. Seenath 10.1016/j.ocecoaman.2024.107520
- Field Measurement and Prediction of Drag in a Planted Rhizophora Mangrove Forest M. Yoshikai et al. 10.1029/2021JC018320
- MANG@COAST: A spatio-temporal modeling approach of muddy shoreline mobility based on mangrove monitoring P. Augusseau et al. 10.1016/j.envsoft.2025.106345
- Representing the impact of Rhizophora mangroves on flow in a hydrodynamic model (COAWST_rh v1.0): the importance of three-dimensional root system structures M. Yoshikai et al. 10.5194/gmd-16-5847-2023
Latest update: 22 Feb 2025
Short summary
The combination of seawalls and vegetation may be the key to Guyana's survival against rising water levels; however knowledge about the system behaviour and use of vegetation is inadequate. This paper comprises the first dataset since the 1970s along the Guyana coastline. Instruments were deployed to capture data on the water levels, waves and sediment locally. Data revealed the ways in which sediment is transported and deposited, as well as the wave damping of the mangrove–mudflat system.
The combination of seawalls and vegetation may be the key to Guyana's survival against rising...
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