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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:
https://ror.org/00x2yxc55 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:
https://ror.org/00x2yxc55 Artelia , 16, rue Simone Veil, 93400 Saint-Ouen-sur-Seine, France https://ror.org/051kpcy16 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:
https://ror.org/00x2yxc55 Artelia , 16, rue Simone Veil, 93400 Saint-Ouen-sur-Seine, France
Anne Levasseur
Affiliation:
https://ror.org/00x2yxc55 Artelia , 16, rue Simone Veil, 93400 Saint-Ouen-sur-Seine, France
Jean Lecroart
Affiliation:
https://ror.org/00x2yxc55 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
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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

Impact statement

This article explores the relevance of NBS scenarios for coastal risk management in the Authie Bay, compared to the present-day system of coastal protection and a reinforcement scenario. What are the concerns and misconceptions that limit the implementation of these projects on the coast? To what extent are they justified and objective? To address this issue, we compared perception data from a social survey with modelling data. Thus, this article aims to go beyond the general misconceptions that surround coastal NBS. The results provide a useful basis for discussion (on the advantages and disadvantages) of NBS with local stakeholders (to determine the best coastal management strategy).

Introduction

The concept of nature-based solutions (NBSs) first appeared in 2008, in a report from the World Bank, and is defined by the International Union for Conservation of Nature (IUCN) as:

“Nature-based Solutions (NBS) are actions to address societal challenges through the protection, sustainable management and restoration of ecosystems, benefiting both biodiversity and human well-being.” (Cohen-Shacham et al., Reference Cohen-Shacham, Walters, Janzen and Maginnis2016).

This definition is currently the most widely used (Sowińska-Świerkosz and García, Reference Sowińska-Świerkosz and García2022). The notion is vast and raises several challenges that are social, economic and environmental in nature (Eggermont et al., Reference Eggermont, Balian, Azevedo, Beumer, Brodin, Claudet, Fady, Grube, Keune, Lamarque, Reuter, Smith, Van Ham, Weisser and Le Roux2015). It is supposed to apply to any type of environment or context, from the urban “heat island” effect to coastal risk management.

In the latter case, the notion of NBS seems to uphold the principles of managed realignment and depoldering – developed in Western Europe since the 1980s (Goeldner-Gianella, Reference Goeldner-Gianella2013; Esteves, Reference Esteves2014), and in Northern America since the 2000s (Murphy et al., Reference Murphy, Cornett, van Proosdij and Mulligan2024). First developed from an environmental and compensation perspective, this type of project gradually started taking risk management objectives into account (Goeldner-Gianella, Reference Goeldner-Gianella2013) and, more recently, blue carbon targets. The managed realignment principle, in the United Kingdom, pursues three types of objectives to compensate for the loss of intertidal habitats resulting from anthropic pressure, develop sustainable coastal risk management, and provide ecosystem services (Esteves, Reference Esteves2014). These goals echo the objectives of NBS (IUCN, 2016). Moreover, these types of policies tend to compensate for the 50% of the salt marshes lost or degraded around the world due to the intensification of human activities and reaffirm their importance in terms of ecosystem services (Barbier et al., Reference Barbier, Hacker, Kennedy, Koch, Stier and Silliman2011; Dale and Arnall, Reference Dale and Arnall2024). Coastal and estuarine NBS projects tend to increase in Europe, with the diffusion of the notion (Moraes et al., Reference Moraes, Reguero, Mazarrasa, Ricker and Juanes2022).

Despite these commendable objectives, depoldering and managed realignment projects can encounter social rejection, as people often feel a deep-rooted connection to the land and perceive a heritage value (Goeldner-Gianella and Imbert, Reference Goeldner-Gianella and Imbert2005). This may be compounded by a general overestimation of the protection provided by the dykes (Baan and Klijn, Reference Baan and Klijn2004) and the lack of knowledge on ecosystem services and natural coastal habitats (Goeldner-Gianella and Imbert, Reference Goeldner-Gianella and Imbert2005; Goeldner-Gianella et al., Reference Goeldner-Gianella, Grancher, Avdeew, Godoy Leski, Carré and Douillard2024). On the other hand, salt marshes have been subject to many monitoring projects (Bertrand et al., Reference Bertrand, Goeldner-Gianella, Anselme, Durand, Thomas, Sottolichio, Sénéchal, Meur-Férec and Hénaff2014), and numerical models illustrate the conditions required for them to be effective in flood risk mitigation (Vuik et al., Reference Vuik, Borsje, Willemsen and Jonkman2019; Shah et al., Reference Shah, Xu, Carisi, De Paola, Di Sabatino, Domeneghetti, Gerundo, Gonzalez-Ollauri, Nadim, Petruccelli, Polderman, Pugliese, Pulvirenti, Ruggieri, Speranza, Toth, Zieher and Renaud2023), along with the optimal positioning of breeches for restoration (Esteves, Reference Esteves2014). This can provide evidence-based data for managed realignment as an NBS. However, although modelling is increasingly used as a tool to raise awareness among stakeholders (Taillandier et al., Reference Taillandier, Moaty, Curt, Di Maiolo, Beullac, Brueder and Cépaduès2022; Antoine et al., Reference Antoine, Abasq, Loudin, Rinaudo, David and Poussin2023; Cornejo et al., Reference Cornejo, Sherren, Lundholm, van Proosdij and Bennett2025), modelling results have rarely been used to illustrate the misconceptions surrounding flood risk and marshland restoration in public perception (Elineau et al., Reference Elineau, Longépée, Goeldner-Gianella, Nicolae-Lerma, Durand and Anselme2021).

This article therefore sets out to make such a comparison, through the modelling of dyke relocation scenarios previously presented to the population during a perception survey in the Authie Bay on the coast of the English Channel in northern France. This study addresses several research questions: (a) does the population in the Authie Bay understand flood risks? (b) What factors encourage the social acceptability of flood management scenarios such as hard defence or managed realignment? (c) Is there a gap between perceived performance of flood risk management options and evidence-based (i.e. model-simulated) outcomes and, if so, what are possible reasons for this? (d) What role could this comparison between public perception and model outcomes play in coastal risk management decision-making? Following a more detailed description of the Authie Bay area and of the methodologies used for the perception survey and the numerical model, this article presents the results of each study. They are then cross-referenced and discussed to highlight potential misalignments between perceptions and model outcomes, and the insights these results can offer regarding the relevance of dyke realignment and informed decision-making.

Study area

French context

Historically characterised by a strict separation of risk management and aquatic environment management responsibilities, the French context has gradually shifted towards more integrated and flexible coastal management approaches since the 1980s, under the influence of environmental movements (Goeldner-Gianella, Reference Goeldner-Gianella2013). It was, however, Storm Xynthia in 2010 that led to a major increase in risk management awareness, with the creation of the Programmes d’actions de prevention des inondations (PAPI) – local-level flood prevention programmes (Mercier and Chadenas, Reference Mercier and Chadenas2012). This policy paved the way for the 2018 implementation of the Gestion des milieux aquatiques et la prevention des inondations (GEMAPI), the French framework for aquatic environment and flood protection management. This new legislation aims to bring together two areas of responsibility that were previously separate. In this way, the GEMAPI appears to offer a favourable context for the development of NBS in coastal risk management projects.

The notion of NBS is now widespread at the local level in France, based on the IUCN definition and adopted by the water boards and semi-public structures like the Centre for Studies on Risks, Environment, Mobility and Urban Planning (CEREMA) or the Conservatoire du Littoral – the French coastal protection agency. Depoldering projects for coastal risk management have proliferated over the past 10 years – especially through the Life Adapto and Adapto + projects, led by the Conservatoire du Littoral since 2015 – and are gradually requalified as NBS. The water boards, regions and the European Union have also begun tying funding allocations to NBS projects and a national funding programme for pilot coastal projects was launched in 2024.Footnote 1 Despite this favourable context, on-the-ground implementation of NBS remains limited.

The Authie Bay: Morphology and governance

Located between the Pas-de-Calais and Somme counties in northern France, the bay is formed by the mouth of the Authie River. The interior of the bay is a low-lying salt marsh area, periodically flooded by the tide and offering a wide variety of landscapes, ranging from mudflats to high marsh. The high marsh is flooded during the spring tides, and on the southern side of the bay, the marshes are subject to sedimentation (Verger, Reference Verger1988).

These marshes are significantly less extensive than they once were, owing to the dyking and drainage practices conducted in the area since the 12th century to gain farmland (Verger, Reference Verger2009). Based on data collected on site, land reclamation continued until 1835 for the northern area of the bay and 1862 for the southern area (Figure 1) (Verger, Reference Verger2009); this southern area is examined further here. Nowadays, the old dykes that line the low-lying areas are barely visible to the naked eye but still serve as historical markers. Two breaches formed in the southern line of dykes due to consecutive storms during the spring tides in 1984 and 1985, allowing water to enter the reclaimed areas.

Figure 1. Map of the dyking stages of the Authie Bay (Diasparra and Avdeew, 2025), based on Dallery (Reference Dallery1955, p. 3).

The Authie Bay area now reflects a mix of recreational activities and environmental priorities within a challenging context for flood-protection governance. Tourism competes with agricultural and hunting uses in the low-lying areas; there are around 70 waterbird hunting huts in the marshes and adjacent lands. The site is also chequered with protected areas owing to its fragile marshland biodiversity.

Following Storm Xynthia in 2010, a PAPI plan was implemented for the three estuaries of the Bresle, the Somme and the Authie rivers (an area known as “BSA”) (Figure 1), bringing together the inter-municipal local authorities of the northern and southern parts of Authie Bay. This first PAPI recommended a reinforcement and raising of the main part of the dykes, and the creation of a second line of dykes in the inner area of the bay (Artelia, 2015). The 2016 and 2019 PAPI updates reaffirmed this approach, given the poor condition of the first line of dykes and their exposure to strong currents (Artelia, 2021). In addition, the 2018 implementation of the GEMAPI plan brought about an evolution in governance dynamics, leading stakeholders to better consider NBS scenarios, through the partial opening of some of the dyked areas.

Research methodologies

The results presented in this article are part of a PhD supervised by the Laboratory of Physical Geography (UMR 8591, or LGP), in collaboration with the firm Artelia. The Authie Bay has been analysed by both the LGP – as part of the ANR DIGUES research programme (2019–2024) – and Artelia, which has been working with local stakeholders since 2014 to define and implement the PAPI Bresle-Somme-Authie (BSA) plan. These studies were unrelated. However, as part of the research collaboration required by the PhD, we found it useful to cross-reference the LGP’s field data with Artelia’s technical records.

Social survey

The first part of the data used in this research comes from the DIGUES research programme. Seven sites were studied in all, including the Authie Bay. The aim was to analyse the perception of coastal and river dykes in France in a context of global change, whether climatic, social or legislative (GEMAPI). The programme set out to define potential dyke evolutions, covering four angles: flood protection, uses, nature and landscape. A questionnaire-based survey was conducted in 2021 to collect perceptions and representations of the dykes, both from residents and non-resident users of the site (Goeldner-Gianella et al., Reference Goeldner-Gianella, Grancher, Avdeew, Godoy Leski, Carré and Douillard2024).

The first part of the questionnaire, common to all sites, comprised a series of questions grouped in four subsections: landscape, uses, protection and nature. For this article, we drew on questions from all but the “uses” subsection (Table 1) (the complete list of the questions from the survey is available in Goeldner-Gianella et al. (Reference Goeldner-Gianella, Grancher, Avdeew, Godoy Leski, Carré and Douillard2024).

Table 1. DIGUES survey questions used in this article

The second part focused on potential dyke evolution scenarios, projected 30 years forward. For each site, five similar scenarios were defined and adapted to the local context (Table 2). During the survey, a detailed table for each scenario was shown to the respondents, presenting both their positive and negative effects. They were then asked whether they thought the scenario was desirable for the future. For the present study, we consider that scenarios 2 (opening or relocating dykes) and 3 (vegetating the dykes further) are consistent with an NBS, insofar as the marshes are restored and mobilised for flood risk reduction. It is, however, important to mention that the term “NBS” was not explicitly used to describe these scenarios during the survey.

Table 2. DIGUES survey scenarios as presented to the respondents

A total of 129 people in the Authie Bay answered the survey. The respondents are mainly residents (84%), of whom only 14% are secondary residents. The group was 64% male, 43% retired and 44% aged over 60, reflecting the area’s demographics. The sample of respondents also includes 15% dyke owners and 6% farmers – two profiles specifically targeted because they would be the first to be affected by the dyke evolution scenarios.Footnote 2 For this study, we chose to focus only on answers given by residents (109 respondents). A detailed table of questions and answers – for both overall and residents’ answers – with percentages is listed in the Supplementary Material.

Numerical modelling

A numerical model was developed by Artelia for the PAPI BSA. It simulates sea flooding caused by meteorological events of various intensities, overflow of the dykes due to surge (with or without breach) and wave overtopping (Artelia, 2015; Bertrand et al., Reference Bertrand, Oudart, David, Le Dissez and Coulet2019). It is based on the TELEMAC software (version V8P2R0). It maps water levels under the combined effects of tide, swell and river flow, making it a dedicated tool for local-scale flood-risk mapping. The configuration of the numerical model was calibrated and validated based on historical events, both in the Somme Bay and the Authie Bay (Levasseur et al., Reference Levasseur, Arnaud, Daou, Sigwald, Janin and Avdeew2025).

For research purposes – and not as part of the PAPI BSA – this model was later used to illustrate the scenarios studied in the DIGUES research programme. As scenario 2 (opening or relocating dykes) is closer to an NBS, according to the IUCN definition, it seemed useful to represent it in the model, to analyse potential gaps between the population’s perception of it and the more objective model outputs. Using scenario 2 along with the baseline scenarios (0 and 1: dykes maintained in their current state and reinforced dykes) for comparison, five modelling scenarios were defined for the Authie Bay (Table 3):

Table 3. Modelled scenarios based on DIGUES scenarios (Janin, Reference Janin2024)

Here, the NBS is defined as dyke relocation combined with salt marsh restoration, achieved by creating breaches in the first line of defence. Scenarios 2a, 2b and 2c in the model correspond to scenario 2 (opening or relocating dykes) in the DIGUES survey. Scenario 2c is equivalent to scenario 2b several decades after the opening of the dykes, with the salt marsh restored. The topography of the open area was thus adjusted to match that of the existing marshlands before the dykes. For these relocation scenarios, the second dyke line was reinforced to an elevation of 7.4 m above mean sea level (AMSL).

As the elevation of the dyked area is quite low, it was assumed that breaching the dykes and restoring the salt marsh would result in sedimentation of the land, raising it to the altimetric level of the existing marsh. Furthermore, the evolution of the natural environment would most likely expand the high marsh, which is currently sparse in the area before the dykes, and encourage the growth of taller vegetation that could help attenuate water flow. The breach locations in the model were determined based on sensitive points identified during an exploratory field mission in April 2024, as well as the location of the breaches that occurred during the 1984 and 1985 storms. Drawing on the results of the PAPI BSA plan and discussions with local stakeholders, it was decided to test a more ambitious relocation of the dykes, involving the use of the second line of defence.

The configuration of the initial model (bathymetry, mesh and configuration of the dykes) was modified for these scenarios (Janin, Reference Janin2024). Each modelled scenario was tested for two types of hydro-meteorological events (E):

  • - E1: Annual water levels and annual wave conditions – as for a spring tide coupled with a weak storm in the Authie Bay.

  • - E2: Centennial water levels and annual wave conditions.

The mean annual discharge of the Authie River is used in both cases.

Results

Social survey

The DIGUES survey revealed two interesting types of results that contribute to a better understanding of how flood risk and management options are perceived locally: the attachment to the current landscape of the bay and the sense of protection associated with the dykes.

First, the survey showed a strong appreciation of the bay’s landscape among the respondents. When asked about the dyke landscape, 57% described it as “both natural and artificial,” 73% saw it as “protecting nature” and 47% considered it “nature-friendly.” These results can be explained by the dykes’ heavily vegetated state, resulting from a lack of maintenance. This fixed perception of the landscape is closely linked to an appreciation of the heritage value of the dykes: 90% of the locals agreed that the dykes are part of the local heritage, and 83% of them reported feeling personally attached to them. This appreciation for the bay’s landscape is further reflected in the response to scenario 0 (not changing the dykes), which was the most favoured, with 70% answering positively to the question, “Do you think this scenario is desirable for the future?”

Second, the survey showed a general sense of protection among the population. When asked about the protection provided by the dykes, 92% of the locals believed that they are fulfilling their role in their current state. Moreover, when asked to show the areas protected by the dykes on a map of the bay, respondents mainly pointed to the areas located immediately behind the southern dykes (Figure 2).

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, Reference Avdeew2021).

The importance placed on the protection provided by the dykes is confirmed in the responses to scenario 1 (reinforcing the dykes). This scenario is better accepted by the locals (49% of positive responses) than scenario 2 (opening or relocating), despite its greater visual impact on the landscape with more prominent dykes. Scenario 2 (opening or relocating) was one of the least well received in the study, with 78% of locals expressing a negative opinion (including “not really,” “not at all” and “don’t know” answers). When asked to explain their reasons for rejecting this option, respondents mentioned their attachment to the existing landscape and the fear of too great a change (34% of respondents), but also concerns over reduced protection (25%) and potential land loss (17%). Ultimately, the perceived protective value of scenario 1 (reinforcing the dykes) appears to be the main reason for its more favourable reception compared to scenario 2 (opening or relocating).

Although the survey revealed significant reservations about dyke relocation, scenario 3 (further vegetating dykes) offers more interesting perspectives on the potential acceptability of NBS, with 61% of locals viewing it positively. Unlike scenario 2 (opening or relocating), the wording of Scenario 3 (further vegetating dykes) explicitly mentions the role of both the salt marshes in front of the dykes and the vegetation on the dykes themselves in reducing flood risk. It should, however, be noted that this scenario is relatively close to the current situation in the Authie Bay, where the dykes are already heavily vegetated. This similarity may partly explain the greater acceptance of Scenario 3 (further vegetating dykes), which was perceived as an improvement on Scenario 0 (not changing the dykes), offering better protection through the presence of the salt marshes.

Modelling study

The tests conducted using the numerical model yielded three types of results, concerning (i) the poor state of the current dykes, (ii) the limitations of scenario 1 (reinforcing the dykes) and (iii) the effects of various dyke relocation options on flood risk mitigation.

The modelling results for scenario 0 (not changing the dykes) highlight the degraded state of the dykes (Figure 3), in line with findings from the PAPI BSA studies (Artelia, 2021). In fact, under event E1, both the first and second dyke lines would be breached, with some overflow occurring at the third line, leading to the flooding of farmland (Figure 3). Under event E2, the flooding intensifies and extends upstream into the Colline-Beaumont and Villers-sur-Authie areas, again due to breaches in the dykes (Figure 3). With this type of event, the flooding is so severe that the waters spread as far as the Somme Bay, approximately 11 km south.

Figure 3. Scenario 0 (not changing) modelled for event E1 (top) and event E2 (bottom) (Janin, Reference Janin2024).

The first flood management option modelled is scenario 1 (reinforcing the dykes). It shows a highly idealised situation in which the dykes are considered unbreakable and retain the same height as the existing dykes. In this configuration, flooding only occurs through overflow with no breaches, regardless of the type of storm. Under event E1, this scenario limits the flooding around the bay itself but directs tidal waters further upriver, causing floods in the Colline-Beaumont and Tigny-Noyelle areas (Figure 4). This could also lead to increased soil salinity in the affected farmland. Under E2, overflow intensifies around the bay for Scenario 1 (reinforcing the dykes) and inland flooding worsens due to reduced flow capacity associated with the rise in the Authie River’s water level (Figure 4). The current dyke height is insufficient to contain an extreme event, even in this reinforced scenario. Overall, this scenario would imply a complete reconstruction of the dyke system and involve significant maintenance costs. It would also have a greater visual impact on the landscape, due to the removal of the existing shrubbery.

Figure 4. Scenario 1 (reinforcing) modelled for E1 (top) and E2 (bottom) (Janin, Reference Janin2024, p. 10).

The second flood management option modelled is scenario 2a (relocation with breaches). Under event E1, the reopened area effectively contains the floodwaters, preventing them from progressing upriver (Figure 5). However, this would also imply a transformation of the landscape, as the flooded areas would gradually evolve into salt marshes, like the rest of the bay. For event E2, scenario 2a (relocation with breaches) indicates an absence of overflow along the relocated dyke line. Nonetheless, the flooding extends into the Conchil-le-Temple and Villers-sur-Authie sectors upstream (Figure 5). These results demonstrate the effectiveness of relocating and reinforcing the second dyke line to 7.4 m AMSL, but also reveal that they are not sufficient to withstand an extreme storm event.

Figure 5. Scenario 2a (relocation with breaches) modelled for E1 (top) and E2 (bottom) (Janin, Reference Janin2024, p. 11).

The third and fourth flood management options modelled are scenarios 2b (relocation with levelling) and 2c (2b combined with salt marsh restoration), designed to explore the potential role of a high marsh in flood mitigation. The results obtained for these scenarios differ slightly from those for scenario 2a (relocation with breaches).

Under event E1, scenario 2b (relocation with levelling) results in some flooding behind the second dyke line and along the river (Figure 6). Levelling the first line of dykes increases tidal energy across the estuary floor and raises water levels upstream, placing greater pressure on the riverbanks and leading to flooding along the Authie River. Unlike scenario 2a (relocation with breaches), this could also lead to salinisation of riverine habitats, under frequent events. Similarly, in scenario 2c (2b with salt marsh restoration) under event E1, minor flooding can be observed behind the dykes and upstream (Figure 7).

Figure 6. Scenario 2b (relocation with levelling) modelled for E1 (top) and E2 (bottom) (Janin, Reference Janin2024, p. 12).

Figure 7. Scenario 2c (2b with salt marsh restoration) modelled for E1 (top) and E2 (bottom) (Janin, Reference Janin2024, p. 13).

For E2, neither scenario 2b (relocation with levelling) nor scenario 2c (2b with salt marsh restoration) is able to fully contain the flooding – much like scenario 2a (relocation with breaches) (Figure 6 and Figure 7). In both cases, flooding behind the second dyke line remains limited, but more significant flooding occurs along the Authie River, caused by dyke breaching and overflow (Figures 67).

Scenario 2a (relocation with breaches) helps to limit flooding along the river during an annual event, by containing part of the floodwaters and reducing the areas at risk. Scenarios 2b (relocation with levelling) and 2c (2b with salt marsh restoration) increase the flood hazard due to the levelling of the dykes. The breaches in Scenario 2a (relocation with breaches) therefore contribute to reducing flood risks by slowing water flow, as the older dyke sections act as barriers. However, in the event of a major storm, none of the modelled scenarios successfully contain the full extent of flooding.

Discussion

A clear gap between perceived and modelled protection

First, the modelling results indicate a clear gap between how NBS-like scenarios are perceived and their potential effectiveness in the event of flooding. While the term “nature-based solution” was not explicitly used during the survey, the details provided for scenarios 2 (opening or relocating the dykes) and 3 (further vegetating the dykes) are consistent with the expectations of an NBS and offer insight into how such approaches are perceived locally. However, the wording of scenario 2 (opening or relocating – not emphasising the potential restoration of a salt marsh in the opened area) can partly explain why it was rejected. It is likely that it was not perceived as a solution but rather as an admission of failure in the face of rising sea levels.

The widespread attachment to the existing landscape appears central to the rejection of dyke relocation (Goeldner-Gianella and Imbert, Reference Goeldner-Gianella and Imbert2005) and to greener solutions like NBS. This attachment can be explained by the historical and cultural context, in which a fixed landscape holds symbolic value. The respondents expressed significant confidence in the dykes built by the “ancestors,” frequently emphasising that these structures had “always held up.”Footnote 3 This connection to the past and the perceived heritage value leads to an underestimation of the dykes’ current condition and of the effects of climate change and rising sea levels – factors that could justify dyke relocation (Baan and Klijn, Reference Baan and Klijn2004). Moreover, the perception of the dykes as “natural” explains the limited enthusiasm for the realignment scenario. For many respondents, restoring natural habitats does not appear necessary, as they already view the dykes as natural features (Goeldner-Gianella et al., Reference Goeldner-Gianella, Grancher, Avdeew, Godoy Leski, Carré and Douillard2024). Together, these elements help explain the gap between public perception and the outcomes of the modelled scenarios.

While the rejection of scenario 2 (opening or relocating) in the survey can be partly be explained by how it was worded, it also reflects a lack of public knowledge regarding dyke realignment and the role of natural habitats in flood protection. Several surveys conducted in the 2000s in the Netherlands (Baan and Klijn, Reference Baan and Klijn2004), France and the United Kingdom (Goeldner-Gianella and Imbert, Reference Goeldner-Gianella and Imbert2005) confirm this tendency. The DIGUES survey further reinforces this interpretation, highlighting an underestimation of the risk among respondents.

The strong support for scenario 0 (not changing the dykes) and the population’s expressed confidence in the protection provided by the dykes are challenged by the model outputs. The current dyke system cannot be relied upon to withstand even a moderate event combining annual water levels and wave conditions – let alone a centennial event. In their current state, they may breach, leading to the flooding of several kilometres of land south of the bay. Moreover, reinforcing the first line of dykes could exacerbate upstream flooding. The modelling of the survey scenarios reveals a clear mismatch between perceived protection and potential risks.

This gap is clearly illustrated by comparing the population’s perception map of protected areas (Figure 2) with the modelling results for Scenario 0 (not changing the dykes) under events E1 and E2 (Figure 3). Although both maps identify similar areas as at risk, the model shows floodwaters extending further south, particularly during a centennial event. A similar pattern was observed in Leucate, where residents displayed a highly localised perception of risks, despite modelled scenarios indicating a more extensive spread of flooding (Elineau et al., Reference Elineau, Longépée, Goeldner-Gianella, Nicolae-Lerma, Durand and Anselme2021). Consequently, fears about a lack of protection may be unfounded – at least in the case of an annual event. In fact, scenario 2a (relocation with breaches) offers better protection for upstream sectors, compared to scenario 1 (reinforcing the dykes), which mainly protects the areas immediately adjacent to the bay. By modelling the three variations of scenario 2 (opening or relocating), the concern over inadequate protection can be addressed and the most effective form of realignment identified.

Assessing the relevance of dyke relocation and the allocated area

Second, the comparison between public perception and the model outcomes highlights the relevance of dyke relocation in the local context. The modelling provides useful insight into how a combination of NBS and reinforcement of the second dyke line could be optimised. However, the strong attachment to the existing, fixed landscape of the bay does not leave a lot of room for the other evolution scenarios.

These results underscore the importance of scaling NBS projects and, more generally, marshland restoration projects. Two factors must be considered here. First, the scale of the NBS must be adapted to the magnitude of the event, whether an annual or a centennial storm event. In this study, the proposed dyke relocation is further back than the alignment defined in the 2019 PAPI BSA.

The second factor concerns the conditions for implementation of the NBS. The modelling results show that dyke relocation with breaches offers considerable benefits in the case of an annual event E1: the remaining sections of the old dyke help slow water flow and therefore reduce overflow risks along the reinforced second line. Moreover, these remaining sections of the dyke facilitate marshland restoration by contributing sediments as they gradually erode (Bertrand et al., Reference Bertrand, Goeldner-Gianella, Anselme, Durand, Thomas, Sottolichio, Sénéchal, Meur-Férec and Hénaff2014; Goeldner-Gianella and Bertrand, Reference Goeldner-Gianella and Bertrand2014). Thus, despite its lack of public support and based on the model outcomes, scenario 2 (opening or relocating) with realignment of the second dyke line could contain flooding within the reopened area (Figure 4).

In the case of the Authie Bay, an NBS without dyke relocation is not feasible. The site’s geomorphology makes such a scenario unlikely in the short term since the dyked areas link the Authie Bay to Somme Bay, 11 km to the south. Moreover, the presence of agricultural and hunting activities in the low-lying lands further restricts the potential for reopening these areas. The relocated dyke alignment proposed in this study accounts for these constraints, as well as the ongoing salinisation of land closer to the first dyke line. In this context, the model outcomes support the relevance of a mixed approach, combining an NBS through reopening and restoration of a salt marsh, with maintenance of a relocated dyke line.

The choice between reinforcement and NBS is less about the perceived lack of protection highlighted by the survey and more about managing which areas are exposed to flooding. In this specific case, the relocation scenario provides the opportunity to choose the flooded areas, whereas reinforcement of the existing line may exacerbate the risks upstream.

The value of modelling for NBS acceptability

The dyke relocation proposed by the PAPI BSA has already encountered significant opposition from the local population, who feel excluded from the decision-making process – an exclusion that could lead to a loss of trust in the governance structures (Baan and Klijn, Reference Baan and Klijn2004). Relocating the dyke further back would therefore require transparency and clearer communication regarding the rationale, expected benefits and the effects on both natural habitats and local vulnerability. Public participation is often a key factor in the success of a dyke reopening project. However, it is frequently overlooked or marginalised in the decision-making process (Goeldner-Gianella, Reference Goeldner-Gianella2013).

Awareness-raising and public information are essential for improving the acceptability of NBS. In France, dyke reopening projects tend to be better received in areas where the population has a better understanding of natural habitats and their functions (Goeldner-Gianella, Reference Goeldner-Gianella2013). Some studies also indicate that people are more concerned about deliberate breaches than accidental ones (Baan and Klijn, Reference Baan and Klijn2004) – a finding echoed in our study results. The relocation scenario was less well received, with respondents perceiving habitat evolution resulting from dyke breaching as negative, even harmful, to an environment they already considered natural (Goeldner-Gianella et al., Reference Goeldner-Gianella, Grancher, Avdeew, Godoy Leski, Carré and Douillard2024).

In this context, these modelling results were presented to local stakeholders with the aim of supporting the decision-making process. The maps generated from these results proved to be a valuable tool for illustrating the potential benefits of an NBS. Similar approaches have already been implemented using participative modelling to raise awareness and address uncertainties surrounding NBS in the Seudre basin in western France (Antoine et al., Reference Antoine, Abasq, Loudin, Rinaudo, David and Poussin2023) and in Nova Scotia in eastern Canada (Cornejo et al., Reference Cornejo, Sherren, Lundholm, van Proosdij and Bennett2025). The MANA research project also applied this principle through a serious game, using flood simulations to raise awareness among public stakeholders (Taillandier et al., Reference Taillandier, Moaty, Curt, Di Maiolo, Beullac, Brueder and Cépaduès2022). The results obtained for the Authie Bay were thus presented to local governance stakeholders (inter-municipal authorities and public bodies) at a discussion workshop focused on the potential for dyke relocation.

Modelling can also be a valuable tool for illustrating the role of coastal NBS. When used during project design phases and public participation workshops, it can support the decision-making and awareness-raising processes (Antoine et al., Reference Antoine, Abasq, Loudin, Rinaudo, David and Poussin2023). For example, Artelia uses modelling during workshops with public stakeholders as part of various projects (Artelia, 2015, 2021).

Modelling limitations

Modelling results can, however, be subject to criticism. They entirely depend on the parameters defined to represent features such as dykes and topography (Paulik et al., 2024; Wiles, Reference Wiles2006). For scenario 2c (2b with salt marsh restoration), for instance, the choice was made to raise the topography of the reopened area to match the existing marshland in front of the dykes and to increase the roughness to simulate restoration. These parameters certainly do not fully reflect the real effects of a restored saltmarsh.

Moreover, small variations in parameters can lead to different results in terms of flooded areas, reflecting the model’s sensitivity (Wiles, Reference Wiles2006; Paulik et al., Reference Paulik, Zorn, Wotherspoon and Harang2024). This is illustrated by the results of scenario 0 (not changing the dykes) for an E2 event in this study, where the model suggests the possibility of more extensive flooding to the north of the river with this kind of storm event.

Conclusion

Cross-referencing the 2021 social survey with the modelling of NBS-like scenarios reveals that the population of the Authie Bay has limited understanding of flooding risks. This is illustrated by their perception of the current dykes as fully functioning, and their view of protected areas mainly confined to the zones immediately behind the dykes. This lack of flood risk awareness, paired with a strong attachment to the landscape and the heritage value of the dykes, leads the respondents to reject any scenario bringing about change. Thus, scenario 2 (opening or relocating) is highly unpopular among respondents, despite its clear benefits for flood risk mitigation, as proved by the model outcomes. While the fear of inadequate protection was a key concern for respondents, the modelling indicates that a more ambitious dyke relocation than currently defined in the PAPI BSA is necessary to achieve significant flood risk reduction.

The modelling results show that dyke relocation involving breaches and reinforcement of the second line of defence would provide better protection than the current situation. Therefore, these results could serve as an effective tool to raise awareness among stakeholders and local communities, helping to clarify flooding risks and the benefits of dyke relocation and coastal habitat restoration.

Nonetheless, this study faced some limitations related to the parameter choices for scenario 2c (2b with salt marsh restoration), which warrant further investigation. In particular, this research was unable to capture the effects of high marsh vegetation on risk reduction (Bertrand et al., Reference Bertrand, Caillon, Decroix, Goeldner-Gianella and Rezende2024), as the modules available in the PAPI model do not address this aspect yet. Additional research on the types of habitats and vegetation likely to be restored through dyke opening in the area could also help inform flood risk management strategies and provide insight into potential co-benefits, such as carbon sequestration.

Open peer review

To view the open peer review materials for this article, please visit http://doi.org/10.1017/cft.2025.10009.

Supplementary material

The supplementary material for this article can be found at http://doi.org/10.1017/cft.2025.10009.

Data availability statement

The authors confirm that the data supporting the findings of this study are available within the article and/or its Supplementary Material.

Acknowledgements

The authors would like to thank Frédéric Bertrand for his reflections on the Authie Bay for the DIGUES research programme, Delphine Grancher for her precious help during the survey and Mathilde Ravoyard for her participation in the survey. Special thanks go to Agnès Diasparra for her cartographic support, which saved us considerable time. The authors would also like to thank the SMBSGLP (the joint public authority responsible for the Baie de Somme and the adjacent Grand Littoral Picard coastal area in northern France) for its interest in this research. The authors would also like to thank the Conservatoire du Littoral for the fruitful discussions. Finally, special thanks to Clair Pickworth for her availability and the valuable adjustments she made to the text in English.

Author contribution

Conceptualisation: M.A., L.G.-G., R.S., J.L.; Literature review: M.A., L.J.; Investigation: M.A., L.J., L.G.-G., R.S., A.L., J.L.; Social survey: M.A, L.G.-G.; Modelling: L.J., A.L.; First draft writing: M.A.; Critical revision and editing: L.G.-G., R.S., J.L, A.L.; Visualisation: M.A.; Funding Acquisition: L.G.-G., M.A., R.S., J.L.

Financial support

The social survey used in this research was funded by the LabEx DynamiTe, grant number ANR-11-LABX-0046 – Investissements d’Avenir, and the French National Research Agency, grant number ANR-18-CE03-0008-01. The PhD is funded by the ANRT and Artelia.

Competing interests

This study was conducted for PhD research and is not part of the ongoing local PAPI projects. It does not reflect any decision made by the local governance and is purely theoretical.

Footnotes

2 These data were gathered previously from the PhD work and addressed in the unpublished master’s thesis by Avdeew M. (d’) listed in the references.

3 Verbatim from the survey.

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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.