Sandy coastlines under threat of erosion

Vousdoukas, Michalis; Ranasinghe, Roshanka; Mentaschi, Lorenzo; Plomaritis, Theocharis A.; Athanasiou, Panagiotis; Luijendijk, Arjen; Feyen, Luc

doi:10.1038/s41558-020-0697-0

Cited by 510 publications

(407 citation statements)

References 95 publications

(61 reference statements)

Supporting

Mentioning

309

Contrasting

Unclassified

Order By: Relevance

“…The comparison of the model results indicates that the coastline changes projected here are mostly larger than the projections made by Vousdoukas et al (2020) for the eroding coasts. This is likely due to the fact that Vousdoukas et al's.…”

Section: Approximated Inlet-affected Coastline Changesmentioning

confidence: 54%

“…Projected 50 th percentile changes of the inlet-affected coastline at the Kalutara estuary are shown in Figure 3 Table 3-7, the Kalurata inlet-estuary system will export sediment to the coast by 2100 for RCP 8.5, which in turn will reduce the coastal recession due to the Bruun effect. Therefore, the 2100 coastline change projected by the presented modelling technique is less than that projected by Vousdoukas et al (2020).…”

Section: Projected Changes In Coastline Positionmentioning

confidence: 81%

“…The coastline change projections presented by Vousdoukas et al (2020), which excludes the effects of the estuary, indicate ~200 m erosion along both up-and down-drift coast by 2100 for RCP 8.5. Hence, the model projections are in reasonable agreement with the coastline changes presented by Vousdoukas et al (2020). The SMIC application results presented by Ranasinghe et al (2013) indicate 180 m of erosion of the down-drift coast by 2100, which is ~50% (±5%) of the model projections presented herein for the same period.…”

Section: Projected Changes In Coastline Positionmentioning

confidence: 96%

“…The final coastline positions of these inlet-interrupted coasts were determined by superimposing the coastal recession due to Bruun effect. The extent of coastline recession due to the Bruun effect was determined based on the method presented by Vousdoukas et al (2020), which can be expressed as:…”

Section: Approximated Inlet-affected Coastline Changesmentioning

confidence: 99%

“…The coastline changes by 2100 projected here were compared with the findings of a study that investigates the world's sandy shoreline evolution under rising sea level. The following table (Table 4-2) shows the comparison of the projected coastline change with the median changes in shoreline presented by Vousdoukas et al (2020) for RCP 4.5 and 8.5 by 2100. The selected 41 systems are clustered into different continents/countries for convenience in comparison.…”

Section: Approximated Inlet-affected Coastline Changesmentioning

confidence: 99%

See 4 more Smart Citations

A holistic modelling approach to simulate catchment-estuary-coastal system behaviour at macro-time scales

Mudiyanselage¹,

Bamunawala²

View full text Add to dashboard Cite

Section: Approximated Inlet-affected Coastline Changesmentioning

confidence: 54%

Section: Projected Changes In Coastline Positionmentioning

confidence: 81%

Section: Projected Changes In Coastline Positionmentioning

confidence: 96%

Section: Approximated Inlet-affected Coastline Changesmentioning

confidence: 99%

Section: Approximated Inlet-affected Coastline Changesmentioning

confidence: 99%

See 3 more Smart Citations

A holistic modelling approach to simulate catchment-estuary-coastal system behaviour at macro-time scales

Mudiyanselage¹,

Bamunawala²

View full text Add to dashboard Cite

Hedonic property prices and coastal beach width

Landry

Turner

Allen

2021

Applied Eco Perspectives Pol

View full text Add to dashboard Cite

Previous research suggests that coastal housing values capitalize the quality of nearby beaches but note potential problems related to measurement errors and reverse causation due to beach replenishment. We offer the first hedonic analysis of communities not engaged in beach replenishment, obviating concern over reverse causation. Statistical evidence supports hedonic specifications that account for proximity to the shoreline, though marginal willingness to pay (WTP) varies with the specification. Using an instrumental variables approach, we find significant downward bias in ordinary least squares estimates of marginal WTP derived from the sale of vacant lots compared to two-stage least squares estimates on the same vacant lots. Notably, we do not find evidence of the same downward bias in WTP derived from the sale of existing homes.

show abstract

Whole plant traits of coastal dune vegetation and implications for interactions with dune dynamics

Walker

Zinnert

2022

Ecosphere

View full text Add to dashboard Cite

Coastal dunes are important protective features against sea level rise and coastal storms. Interactions between dune plant aboveground structures and sediment trapping that allow for dune building and maintenance are well established. More recently, studies documenting belowground biomass for promoting erosion resistance in dominant dune species have been conducted, yet a knowledge gap remains regarding species-specific characterization of whole plants, specifically with respect to roots, rhizomes, and belowground stems.Our objective was to quantify above-and belowground traits of four dominant dune grasses to document the potential for species-specific effects on dune growth, maintenance, and erosion resistance. We examined above-and belowground traits among four prominent dune grasses of the Atlantic and Gulf Coasts of North America: Ammophila breviligulata, Panicum amarum, Spartina patens, and Uniola paniculata. Whole plant samples of each species were collected from the foredune at the US Army Engineer Research and Development Center's Field Research Facility in Duck, North Carolina, USA, and quantified for several above-and belowground traits (e.g., stem height, rhizome number and length, root surface area by diameter class, root tensile strength, and mycorrhizal percent infection). Belowground factors known to impact important dune processes, such as rhizome length, mycorrhizal percent infection, and root traits, differed substantially among species. When visualized in multivariate space, all species significantly differed in suites of aboveand belowground traits. When considering belowground only, Ammophila and Spartina were similar, despite differences in biomass allocation. Species separated along axes related to mycorrhizal association, biomass allocation, and root construction. The four co-occurring dune grass species were dissimilar in suites of plant traits. Belowground trait differences were driven by those describing root construction, biomass allocation, and mycorrhizal infection.

show abstract

Sandy coastlines under threat of erosion

Abstract: Important note To cite this publication, please use the final published version (if applicable). Please check the document version above.

Cited by 510 publications

References 95 publications

A holistic modelling approach to simulate catchment-estuary-coastal system behaviour at macro-time scales

A holistic modelling approach to simulate catchment-estuary-coastal system behaviour at macro-time scales

Hedonic property prices and coastal beach width

Whole plant traits of coastal dune vegetation and implications for interactions with dune dynamics

Contact Info

Product

Resources

About