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From perception to modelling: Nature-based solutions as a tool for coastal risk management

Published online by Cambridge University Press:  22 August 2025

Marina d’Avdeew*
Affiliation:
Artelia , 16, rue Simone Veil, 93400 Saint-Ouen-sur-Seine, France Laboratory of Physical Geography UMR 8591 Paris 1 Panthéon Sorbonne University, 12 Place du Panthéon, 75005 Paris, France
Louis Janin
Affiliation:
Artelia , 16, rue Simone Veil, 93400 Saint-Ouen-sur-Seine, France Caen Normandie University , Esplanade de la Paix, 14000 Caen, France
Lydie Goeldner-Gianella
Affiliation:
Laboratory of Physical Geography UMR 8591 Paris 1 Panthéon Sorbonne University, 12 Place du Panthéon, 75005 Paris, France
Robin Sigwald
Affiliation:
Artelia , 16, rue Simone Veil, 93400 Saint-Ouen-sur-Seine, France
Anne Levasseur
Affiliation:
Artelia , 16, rue Simone Veil, 93400 Saint-Ouen-sur-Seine, France
Jean Lecroart
Affiliation:
Artelia , 16, rue Simone Veil, 93400 Saint-Ouen-sur-Seine, France
*
Corresponding author: Marina d’Avdeew; Email: marina.davdeew@cnrs.fr
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Abstract

Coastal nature-based solution (NBS) projects have been on the rise over the past few years. In France, the expression is being increasingly used at a local level, and new projects are developing on the coast. However, they face various limitations, involving both technical challenges and social acceptability issues. Based on data from the perception survey conducted by the DIGUES research programme in the Authie Bay in 2021 and a numerical model used to assess the efficiency of flood protection measures developed as part of a flood action and prevention programme, this study aimed to highlight the gap between perceptions and misconceptions surrounding NBS-like scenarios and more objective modelling data. It offers a cross-comparison of these two datasets. For this purpose, the scenarios used to assess public perception in the DIGUES survey were translated in the numerical model to study the difference between perceived protection and actual protection in the Authie Bay, the opportunity for dyke relocation in an NBS scenario, and the effectiveness of the NBSs according to their scale. Overall, these results demonstrated a real benefit for implementing dyke relocation through breaches, compared to other scenarios for the Authie Bay.

Abstract

Abstract

Les projets de SFN littorales se développent depuis quelques années. En France, l’expression est. de plus en plus mobilisée à l’échelon local et de nouveaux projets voient le jour sur le littoral. Ils font toutefois face à un certain nombre de limites, tant techniques qu’en termes d’acceptabilité sociale. Sur la base des données de l’enquête de perception du programme de recherche DIGUES, menée en 2021 en baie d’Authie, et d’un modèle numérique développé pour évaluer les mesures de protection proposées dans le cadre du PAPI, cette étude tend à mettre en lumière le décalage entre la perception des scénarios de type SFN et les données plus objectives de modélisation. Cet article propose un regard-croisé entre ces deux jeux de données. Pour ce faire, les scénarios mobilisés dans l’enquête DIGUES ont été traduits dans le modèle numérique, afin d’étudier les différences entre la perception de la protection et la protection réelle en baie d’Authie, les opportunités de recul de digue dans le cadre d’un projet de SFN, et l’efficacité des SFN en fonction de leur dimensionnement. Globalement, ces résultats montrent un réel intérêt à la mise en place d’un recul de digues par brèches en baie d’Authie, en comparaison d’autres scénarios.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NC
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial licence (http://creativecommons.org/licenses/by-nc/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use.
Copyright
© The Author(s), 2025. Published by Cambridge University Press
Figure 0

Figure 1. Map of the dyking stages of the Authie Bay (Diasparra and Avdeew, 2025), based on Dallery (1955, p. 3).

Figure 1

Table 1. DIGUES survey questions used in this article

Figure 2

Table 2. DIGUES survey scenarios as presented to the respondents

Figure 3

Table 3. Modelled scenarios based on DIGUES scenarios (Janin, 2024)

Figure 4

Figure 2. Map of the percentages per answers to the question “Can you indicate on the map the areas protected by the dykes against sea flooding?” (109 respondents, Avdeew, 2021).

Figure 5

Figure 3. Scenario 0 (not changing) modelled for event E1 (top) and event E2 (bottom) (Janin, 2024).

Figure 6

Figure 4. Scenario 1 (reinforcing) modelled for E1 (top) and E2 (bottom) (Janin, 2024, p. 10).

Figure 7

Figure 5. Scenario 2a (relocation with breaches) modelled for E1 (top) and E2 (bottom) (Janin, 2024, p. 11).

Figure 8

Figure 6. Scenario 2b (relocation with levelling) modelled for E1 (top) and E2 (bottom) (Janin, 2024, p. 12).

Figure 9

Figure 7. Scenario 2c (2b with salt marsh restoration) modelled for E1 (top) and E2 (bottom) (Janin, 2024, p. 13).

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Author comment: From perception to modelling: Nature-based solutions as a tool for coastal risk management — R0/PR1

Comments

No accompanying comment.

Review: From perception to modelling: Nature-based solutions as a tool for coastal risk management — R0/PR2

Conflict of interest statement

Reviewer declares none.

Comments

The paper evaluates the use of coastal Nature-Based Solutions (NBS) in France, focusing on the public perception and the feasibility. It is generally well written, although I did find a spelling error in line 268, and will be of interest to readers of “Coastal Futures”. However, there are several areas that need to be addressed before the manuscript can be considered for publication. My main concern relates to the literature cited. When reviewing the manuscript, I was initially concerned that some of the work had already been published, given the way the authors cite the study of Avdees (2021). I note from the reference list that the Avdees study is, in fact, a masters thesis. The authors are very reliant on this thesis, which presumably has not been peer reviewed. I would encourage the authors to reduce their use of the Avdees thesis in the methods and results, and to contextualise their findings in the discussion using other, peer reviewed, studies. In general, the work would also benefit from the use of a wider range of literature, including publications of international authors and studies.

I think the introduction could be made more succinct. The open section contains a lot of basic background definitions and information, most of which I would hope the readers are already aware of. It then moves straight into the study section, meaning there is an overall lack of context. The authors should also note that blue carbon is becoming an increasing driver of managed realignment, rather than flood risk mitigation and compensation for habitat loss, and that the first managed realignment in the UK was Northey Island (South) in 1991.

The manuscript would benefit from increasing the connectivity between the survey and modelling work. I do not have background in social science so I have not commented on the survey, but I would like to know more about how the model outputs were used within the survey. The authors should also make it clearer which UK managed realignment projects were used to inform their model. This detail is important as every site is different (strategic goals, tidal range, starting elevation etc), which could influence the output from the modelling work. Finally, it is noted a couple of times in the manuscript that this work originates from the author’s PhD, but I am not sure how this is relevant?

Review: From perception to modelling: Nature-based solutions as a tool for coastal risk management — R0/PR3

Conflict of interest statement

Reviewer declares none.

Comments

The authors address a relevant and topical matter, that is participatory coastal risk management. Historically coastal risk management was unilaterally undertaken by responsible government authorities, but with greater public empowerment such issues are increasingly demanding participation in such decision-making. Essential to the success of such participatory decision making is an informed public. A major challenge to sound participatory coastal risk management is misalignment between public perception and evidence-based (e.g. model simulated) outcomes. This study addresses this challenge by first identifying areas of misalignments and then providing possible reasoning thereof – critical knowledge required to address future solutions.

However, the manuscript needs improvement on several aspects to be addressed prior to consideration for publications. From the construct of the manuscript, it is evident that the authors decided on the conventional headings, that is Introduction, Study Area, Research Methodologies, Results, Discussion and Conclusions and this is used below to organize comments.

INTRODUCTION

1) The introduction rightfully explains the concept of Nature-Based Solutions (NBS) and the context within which it is interpreted in this study, followed by the motivation for the topic for this study, i.e. extent to which public perception accounts for NBS approaches in coastal risk management. However, the introduction lacks an international review on this topic, and a clear positioning of this specific study in that context. Related international literature is listed in the Discussion section, but it is strongly recommended that this be preceded by a introduction of such international literature already in the Introduction.

2) The manuscript lacks a clearly articulated aim, and logical research questions. The last paragraph in this section states: “What are the concerns and misconceptions that limit the implementation of these projects on the coast? To what extent are they justified and objective? These questions are studied on the site of the Authie Bay, on the Manche coastline. This article presents the cross-study of a social survey on dyke perception on this site and numerical modelling tests of NBS scenarios. These results are then discussed to try and highlight misconceptions on NBS and success factors” However, reflecting on the Discussion section, these are not the research questions that are being answered. It is therefore strongly recommended that the authors explicitly articulate the aim of this study in the Introductory section. Then clearly articulate specific research questions that will be addressed towards achieving the aim. Reflecting on the Discussion section, more logical research questions might be (a) Does the public understand flood risks in the study area? (c) What influences public perceptions when rating flood risk management options? (b) Is there misalignment between the perceived performance of flood risk management options and evidence-based (i.e. model simulated) outcomes, and if so, what are possible reasons? (c) What could be the role of evidence-based modelling in participatory coastal risk management decision-making?

STUDY AREA (THE AUTHIE BAY)

1) Suggest including a map showing the location of this bay within the larger country/continent. The quality of Figure 1 needs to be improved, especially resolution of text.

2) It appears that various interventions have been undertaken in Authie Bay to address coastal risk management, for example GEMAPI and PAPI. However, these are introduced in different sections; Introduction section (GEMAPI) and this section (PAPI). It is strongly recommended that the authors introduce both interventions within the same section to improve systematic, logical flow in the manuscript.

3) Suggest removing sub-heading “Current 106 context (level 2 of title)” as it is a single sub-heading in this section which is not good practice.

RESEARCH METHODOLOGIES

This section is somewhat confusing and difficult to follow. It is suggested that the section be organized into two sub-sections only, that is (a) Social Survey and (b) Numerical modelling.

1) In the social survey section, a more systematic description of the survey is required. The authors describe the respondents, and the scenarios offered in the survey (Table 1) but then omits to explicitly detail the questions in the questionnaire that the respondents had to answer. This causes confusion later in the Results section where responses from respondents are given as percentages, but it is not clear what the questions were. It is strongly recommended that the authors provide a clear list of questions for which response results should then be tabulated later (see comment in Results).

2) The proposed Modelling sub-section should combine sub-sections “Numerical model” and “Cross-study between perception and modelling” as both deals with the modelling component and a single paragraph sub-section not being good practice.

3) I found it difficult to track the comparison between surveyed and modelled scenarios. This could be improved by better synchronizing the labelling of modelled scenarios as follows:

Scenario 0 (surveyed) = Scenario 0 (modelled)

Scenario 1 (surveyed) = Scenario 1(modelled)

Scenario 2 (surveyed) = two options Scenario 2a and Scenario 2b (modelled)

Scenario 3 (surveyed) = Scenario 2b (name this as Scenario 3 in the modelled version too)

4) Referencing to the scenarios in the text in different format, either as the numbering or in some instance its description, makes it difficult to follow. Suggest that the authors use a consistent scenario labelling throughout the manuscript (i.e. Scenario 1, Scenario 2 [in the case of the modelled scenarios Scenario 2a and Scenario 2b] and Scenario 3) to make is easier for the reader to follow, rather than also introducing the description of scenario as labels.

5) Also suggest simplification of labelling of hydrometeorological event, e.g. E1 (annual) and E2 (centennial), and then use this labelling consistently throughout the manuscript.

6) Specific comments:

Page 5, line 137: Goeldner-Gianella, 2024 not in reference list

Page 5, line 140: change “table 1 for the Authie Bay scenarios” to “table 1”

Page 5, line 147: Avdees, 2021 should be Avdeew, 2021

RESULTS

The results section should present the results of the study. However, the question-type sub-headings already suggest some level of interpretation which belongs in a Discussion section. It is therefore strongly recommended that the authors restructure this section to present the results in a clear and transparent manner, using two sub-headings, that is (a) Social survey (b) Modelling study.

1) In the current construct of the manuscript, results from the social survey are difficult to follow as it is only presented in the text. Further, it is not explicit which questions the various percentage levels were based on. It is therefore strongly recommended that the authors include a table that lists the questionnaire questions and then provide the response percentages linked to each. These can then be described and elaborated on in the text. It appears that the top of Figure 2 also represents a response to a question. This should also be presented as a separate figure in the proposed ‘Social Survey’ sub-section in Results.

2) In the proposed “Modelling study’ sub-section the existing figures showing the simulation for the various scenarios under the two hydrometeorological events can be presented and described, but without doing comparisons with social survey results in this Results section, such discussion belongs in a Discussion section.

DISCUSSION

The Discussion rightfully provides the insights and learning that the authors gained in comparing results from the social survey and modelling study. However, it is strongly recommended that once the authors have clarified their research questions, they attempt to organize the sub-sections in the Discussion section accordingly so that the reader can clearly follow their logic in addressing these questions, and ultimately the aim.

CONCLUSIONS

Ideally a conclusion section needs to include the following:

• Summarizing findings on research questions and the aim

• Limitation of this study (as has been listed)

• Future research.

It is strongly recommended that once the aim and research questions have been clearly articulated, the authors re-write the conclusion section to address the above.

LAUGUAGE EDITING

The manuscript requires thorough English language editing as it is often difficult to follow, presumably because language translation software was used. Those often get the context wrong (e.g. in the figures the terms “up” and “down” are used instead of “top” and “bottom”).

Recommendation: From perception to modelling: Nature-based solutions as a tool for coastal risk management — R0/PR4

Comments

Thanks to the authors for the interesting study.

Please see Reviewer 1’s comments on how to contextualise the findings from the Avdees thesis. If the work is originating from a PhD, no need to mention this as considered original research if submitted for journal publication for the first time. Please carefully address Reviewer 2’s inputs; clear input has been provided on how to improve the manuscript.

Decision: From perception to modelling: Nature-based solutions as a tool for coastal risk management — R0/PR5

Comments

No accompanying comment.

Author comment: From perception to modelling: Nature-based solutions as a tool for coastal risk management — R1/PR6

Comments

No accompanying comment.

Recommendation: From perception to modelling: Nature-based solutions as a tool for coastal risk management — R1/PR7

Comments

Thank-you authors the revisions are thorough; manuscript now acceptable for publication making a worthy contribution to the special issue on “System Impacts of Nature Based Solutions for Coastal and Water Management”.

There are a few edits in the uploaded document that the editorial office can deal with.

Decision: From perception to modelling: Nature-based solutions as a tool for coastal risk management — R1/PR8

Comments

No accompanying comment.