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This project receives funding from the European Union’s Horizon 2020 Research and Innovation action under grant agreement No 101037097.
RESTCOAST ecotope quantification
using D-Eco Impact
Richard Marijnissen (Deltares, Netherlands)
Remi Caillibotte (EGIS, France)
Benjamin Jacob (Hereon, Germany)
Delft 16/11/2023
REST-COAST
VISION:
Healthy and climate-resilient European coastal regions achieved through innovative large-scale
systemic restoration, enhance the delivery of ecosystem services and improve coastal biodiversity.
MISSION:
Demonstrate that upscaled coastal restoration can provide a low carbon footprint solution to climate
adaptation and disaster risk reduction for threatened coastal systems, combined with gains in their
biodiversity.
GOAL:
Overcome present hurdles to upscale coastal restoration interventions through new technical,
financial, management and transfer tools, aligned with the needs of coastal vulnerable regions and
society.
• EUNIS ecotopes as a
“common language”
between pilots
• Provides semi-
quantitative insight in
ecosystem services
• Combined with IUCN
redlist provides
qualitative insight in
biodiversity
Ecotopes
Ecotope map for the the Wadden Sea, Baptist et al. (2019)
Use in REST-COAST
2) Local ecotope classes
3) Conversion to EUNIS ecostopes
1) Model results of scenario or measure
4) [Changes in] biotopes as indicator of restoration
success
Consistent application of
ecological rules using
D-Eco Impact
Application
- Arcachon
• Between 1989 and 2012, a decrease of the
spatial extent of eelgrass beds has been
observed:
• -38% for Zostera noltii
• -85% for Zostera marina
• Impact on:
• Tourism activities: 137 000 inhabitants but
400 000 people in summer; economic benefits
estimated at 346M€; recreational (bathing,
sport, …) and cultural (museums, Dune of
Pyla = 1.5M visitors) activities
• Dredging of harbour entrances
• Oyster farming: 780 ha; from 8 to 10 000
tons per year; Growing of juvenile oysters; 40
M€ of revenue; 1 000 employments)
• Fishery: 2000 tons/yr
• Land use w.r.t. coastal flooding: Klaus in
2009; Xynthia in 2010
Restoration of eelgrass beds in the Arcachon Bay
Source: Cognat, 2019
Impacts at stake
Ecosystem services targeted:
● (1) Coastal flooding control
● (2) Coastal erosion control
● (3) Water quality improvement
● (4) Carbon sequestration
Impacts considered:
● (1) Coastal flooding at coastal sites inside
the Arcachon lagoon
● (2) Erosion of main channels and
sedimentation of harbor entrances
● (3) Turbidity, Water renewal (flushing time)
● (4) Specific/classic sediment dynamics and
distribution inside the lagoon
→ Link with WP1
General methodology
Environmental drivers:
Bathymetry
Meteorology (ERA5)
Large-scale tide conditions (FES2012)
Offshore conditions for waves (IOWAGA)
Sediment parameters
Vegetation parameters
Coupled model:
Waves
Hydrodynamics
Morphology
Vegetation
Modelling results:
Hydrodynamics / water levels
Sediment distribution and
morphological changes
Exposure / Uses
Vulnerability
→ KPIs
Risk
assessment
Restoration scenarios (WP1)
Climate change
D-Flow FM module
• 2D computation on a curvilinear grid
• Processes involved:
• Tide-driven flows
• Wind-driven flows
• Wave-driven flows (coupling with D-Waves)
D-Morphology module
• Bedload and suspended load transport
of cohesive and non-cohesive sediment
• Bed level update
• Morphological acceleration factor
Coastal eco-morphodynamic model Bathymetry
Flow
Boundary
conditions
Sediment
transport
Bed update
Hydro. time
Morpho. time
x13
Vegetation module
• Trachytopes (Baptist 2005; Baptist et al. 2007):
• Inputs:
• Fixed vegetation: cover corresponding to 2012
• Sensitivity analysis (e.g. regarding seasonality)
• Minor differences on water levels
• Max differences of 4 cm.s-1 for tidal currents
Cover
Height
(cm)
Density
(m-1)
Drag
coefficient
< 0.25 12 13.6
0.7
0.25 < . < 0.75 16 27.3
> 0.75 20 53.5
● Non-neutral impact of the vegetation on sediment dynamics within the Arcachon Bay
● Restoration of vegetation could lead to:
• A decrease of sediment deposition on the bottom on the Bay
• An erosion of secondary channels (improving hydrodynamics)
● Risk assessment for coastal flooding and erosion risk
● New restoration scenarios to be integrated
Conclusions and perspectives on modelling works
● Future changes in term of biotopes as indicators of restoration
success
● Application of the D-Eco Impact tool with conditions adapted to
Wadden sea pilot site → Proof of concept
→ Improvements for Arcachon Bay must be made and particularly on
seagrass and salt marshes classifications
Ecotopes mapping for Arcachon Bay
Application
- Wadden Sea
Model
Hereon
15
source:
http://ccrm.vims.edu/schismweb/
SCHISM
• 3D, RANS-Equations on unstructured grids
• Robust matrix solver following an efficient
semi-implicit time stepping schemes
• Includes Higher-order transport solver: TVD2
• Includes a variety of functional modules
WWM -III
• Wave Action balance Equation on an unstructured mesh.
• 3rd generation wave model
• ST4 physics Ardhuin et al. (2010)
SED3D
• 3D Sediment model for non-cohesive sediments
• Based on Community Sediment Transport Model (Warner et al., 2008).
• unstructured grid adaption (Pinto et al. (2012)
• Erosion/deposition/bedload of 8 Sediment Classes (0.06-2 mm)
German Bight ugrid downscaling configuration
Hydrodynamic (h)
B.C.
AMM15
WW3
Elements/Nodes
900000/480000
1.5 km - 50 m dx
21 vertical S-layers
90s dt
Wave
Spectra(h)
Hereon
16
• Present day scnerios,
• End of the century climate
projections
Seagrass as nature based solution
Physical
Parameters
D-Eco Impact – Preliminary results
Early stage work in progress …
• SCHISM output not yet ugrid conform
• Preprocessing scripts for conversion of
schism output (further work required)
Hereon
17
Hereon
18
#"MC521"
#"MB523"
D-Eco Impact – Preliminary results
Application
- Ems-Dollard
@RESTCOAST_H2020 rest-coast.eu RESTCOAST.H2020
This project receives funding from the European Union’s Horizon 2020 Research and Innovation action under grant agreement No 101037097.
Thank
you!

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DSD-INT 2023 RESTCOAST ecotope quantification using D-Eco Impact - Caillibotte

  • 1. This project receives funding from the European Union’s Horizon 2020 Research and Innovation action under grant agreement No 101037097. RESTCOAST ecotope quantification using D-Eco Impact Richard Marijnissen (Deltares, Netherlands) Remi Caillibotte (EGIS, France) Benjamin Jacob (Hereon, Germany) Delft 16/11/2023
  • 2. REST-COAST VISION: Healthy and climate-resilient European coastal regions achieved through innovative large-scale systemic restoration, enhance the delivery of ecosystem services and improve coastal biodiversity. MISSION: Demonstrate that upscaled coastal restoration can provide a low carbon footprint solution to climate adaptation and disaster risk reduction for threatened coastal systems, combined with gains in their biodiversity. GOAL: Overcome present hurdles to upscale coastal restoration interventions through new technical, financial, management and transfer tools, aligned with the needs of coastal vulnerable regions and society.
  • 3.
  • 4. • EUNIS ecotopes as a “common language” between pilots • Provides semi- quantitative insight in ecosystem services • Combined with IUCN redlist provides qualitative insight in biodiversity Ecotopes Ecotope map for the the Wadden Sea, Baptist et al. (2019)
  • 5. Use in REST-COAST 2) Local ecotope classes 3) Conversion to EUNIS ecostopes 1) Model results of scenario or measure 4) [Changes in] biotopes as indicator of restoration success Consistent application of ecological rules using D-Eco Impact
  • 7. • Between 1989 and 2012, a decrease of the spatial extent of eelgrass beds has been observed: • -38% for Zostera noltii • -85% for Zostera marina • Impact on: • Tourism activities: 137 000 inhabitants but 400 000 people in summer; economic benefits estimated at 346M€; recreational (bathing, sport, …) and cultural (museums, Dune of Pyla = 1.5M visitors) activities • Dredging of harbour entrances • Oyster farming: 780 ha; from 8 to 10 000 tons per year; Growing of juvenile oysters; 40 M€ of revenue; 1 000 employments) • Fishery: 2000 tons/yr • Land use w.r.t. coastal flooding: Klaus in 2009; Xynthia in 2010 Restoration of eelgrass beds in the Arcachon Bay Source: Cognat, 2019
  • 8. Impacts at stake Ecosystem services targeted: ● (1) Coastal flooding control ● (2) Coastal erosion control ● (3) Water quality improvement ● (4) Carbon sequestration Impacts considered: ● (1) Coastal flooding at coastal sites inside the Arcachon lagoon ● (2) Erosion of main channels and sedimentation of harbor entrances ● (3) Turbidity, Water renewal (flushing time) ● (4) Specific/classic sediment dynamics and distribution inside the lagoon → Link with WP1
  • 9. General methodology Environmental drivers: Bathymetry Meteorology (ERA5) Large-scale tide conditions (FES2012) Offshore conditions for waves (IOWAGA) Sediment parameters Vegetation parameters Coupled model: Waves Hydrodynamics Morphology Vegetation Modelling results: Hydrodynamics / water levels Sediment distribution and morphological changes Exposure / Uses Vulnerability → KPIs Risk assessment Restoration scenarios (WP1) Climate change
  • 10. D-Flow FM module • 2D computation on a curvilinear grid • Processes involved: • Tide-driven flows • Wind-driven flows • Wave-driven flows (coupling with D-Waves) D-Morphology module • Bedload and suspended load transport of cohesive and non-cohesive sediment • Bed level update • Morphological acceleration factor Coastal eco-morphodynamic model Bathymetry Flow Boundary conditions Sediment transport Bed update Hydro. time Morpho. time x13
  • 11. Vegetation module • Trachytopes (Baptist 2005; Baptist et al. 2007): • Inputs: • Fixed vegetation: cover corresponding to 2012 • Sensitivity analysis (e.g. regarding seasonality) • Minor differences on water levels • Max differences of 4 cm.s-1 for tidal currents Cover Height (cm) Density (m-1) Drag coefficient < 0.25 12 13.6 0.7 0.25 < . < 0.75 16 27.3 > 0.75 20 53.5
  • 12. ● Non-neutral impact of the vegetation on sediment dynamics within the Arcachon Bay ● Restoration of vegetation could lead to: • A decrease of sediment deposition on the bottom on the Bay • An erosion of secondary channels (improving hydrodynamics) ● Risk assessment for coastal flooding and erosion risk ● New restoration scenarios to be integrated Conclusions and perspectives on modelling works
  • 13. ● Future changes in term of biotopes as indicators of restoration success ● Application of the D-Eco Impact tool with conditions adapted to Wadden sea pilot site → Proof of concept → Improvements for Arcachon Bay must be made and particularly on seagrass and salt marshes classifications Ecotopes mapping for Arcachon Bay
  • 15. Model Hereon 15 source: http://ccrm.vims.edu/schismweb/ SCHISM • 3D, RANS-Equations on unstructured grids • Robust matrix solver following an efficient semi-implicit time stepping schemes • Includes Higher-order transport solver: TVD2 • Includes a variety of functional modules WWM -III • Wave Action balance Equation on an unstructured mesh. • 3rd generation wave model • ST4 physics Ardhuin et al. (2010) SED3D • 3D Sediment model for non-cohesive sediments • Based on Community Sediment Transport Model (Warner et al., 2008). • unstructured grid adaption (Pinto et al. (2012) • Erosion/deposition/bedload of 8 Sediment Classes (0.06-2 mm) German Bight ugrid downscaling configuration Hydrodynamic (h) B.C. AMM15 WW3 Elements/Nodes 900000/480000 1.5 km - 50 m dx 21 vertical S-layers 90s dt Wave Spectra(h)
  • 16. Hereon 16 • Present day scnerios, • End of the century climate projections Seagrass as nature based solution Physical Parameters
  • 17. D-Eco Impact – Preliminary results Early stage work in progress … • SCHISM output not yet ugrid conform • Preprocessing scripts for conversion of schism output (further work required) Hereon 17
  • 20. @RESTCOAST_H2020 rest-coast.eu RESTCOAST.H2020 This project receives funding from the European Union’s Horizon 2020 Research and Innovation action under grant agreement No 101037097. Thank you!