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Systematic Review

Frontiers in Ocean Sustainability ·

Volume 4 - 2026 | https://doi.org/10.3389/focsu.2026.1768173

Archetypical patterns of barriers and enablers to policy coherence in European marine and coastal governance: a systematic review

  • Saskia Trubbach1*corresponding author
  • Ellen Johannesen2
  • Froukje Maria Platjouw1
  1. 1Norwegian Institute for Water Research, Oslo, Norway
  2. 2Norwegian Institute for Water Research, Copenhagen, Denmark
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Abstract

European marine and coastal areas are governed through complex policy landscapes where policy interplay occurs across multiple governance levels, policy areas, and geographical scales. Misalignments between policy objectives and measures along these dimensions generate policy incoherences, resulting in suboptimal tradeoffs and outcomes. This paper advances conceptual refinement and provides empirical validation of a prototype methodological framework designed to explain the structural drivers of policy (in)coherence in marine and coastal governance. The framework is organized around three explanatory factors: governmental organizations, the science-policy-society interface, and mechanisms for stakeholder involvement. Drawing on a systematic literature review, these factors were applied as an analytical lens to identify nuanced subcategories of archetypal patterns that characterize institutional barriers and enablers. Recurrent barriers include fragmented governance roles and limited coordination across the land-sea interface, while persistent enablers relate to harmonized data, knowledge-sharing platforms, stronger regional collaboration, and inclusive stakeholder engagement. Policy recommendations are also identified.

Keywords

1 Introduction

In Europe, marine and coastal areas are increasingly pressured by multiple human activities and the effects of climate change (European Environment Agency, 2019). The policy landscapes in these areas are inherently complex, and the interplay of policies can be visualized along three dimensions: vertical, horizontal, and geographical. This concept is illustrated in Figure 1, expanding on the work of Fanning et al. (2007) regarding large marine ecosystems. It visualizes how governance frameworks are interconnected through policy cycles, stages of decision-making processes, and function across various scales and levels.

Complex governance landscapes. Policy interplay in marine and coastal systems occurs along vertical (governance levels), horizontal (policy areas), and geographical scales. The circles depict policy cycles at the various levels of governance. Figure adapted from Fanning et al. (2007).
Figure 1. Complex governance landscapes. Policy interplay in marine and coastal systems occurs along vertical (governance levels), horizontal (policy areas), and geographical scales. The circles depict policy cycles at the various levels of governance. Figure adapted from Fanning et al. (2007).

The first dimension highlighted in Fanning et al. (2007) framework is the vertical interlinkage of policy cycles across the various governance levels. These considerations are also highly relevant in the context of the multilevel governance landscape that characterizes marine and coastal areas in Europe. The European Green Deal, launched in 2019, calls for a deep transformation in all relevant sectors to create a fair and prosperous society where economic growth is decoupled from resource use, natural ecosystems are protected and restored, and human health improved (European Commission, 2023). Several recent strategies and plans set out an ambitious path for the European seas. Progress toward the Green Deal's objectives takes place within the existing framework of EU law governing these aspects (Platjouw et al., 2024). In addition to the pre-existing body of EU environmental law (including sector-, nature conservation-, and cross-sectoral legislation), new amendments and legislative initiatives have been ongoing to facilitate implementation of various policy targets (Boteler et al., 2024; Kyrönviita et al., 2024). In a domestic policy context, these EU policies may be implemented differently and interplay with national and sub-national policies, as well as international policy frameworks.

A second dimension highlighted by Fanning et al. (2007) refers to the complexity of governance systems, leading to horizontal interplay among policy cycles. Policies and their decision-making processes are typically developed around specific societal or sectoral interests, creating distinct policy areas. However, these areas are horizontally interlinked, and if not properly managed, implementing policies in one area can generate unintended consequences for others. Marine and coastal regions often face the challenge of aligning conservation objectives with sectoral policies that drive sustainable use and resource exploitation under the blue growth paradigm (Platjouw et al., 2024).

A third dimension of marine and coastal policy landscapes reflects the interplay of policies across different geographical scales. The governance of marine and coastal areas is complicated by numerous biophysical and socio-economic interdependencies that span the land-sea interface (Tocco et al., 2024). For instance, land-based activities that lead to runoff and pollution can have a substantial impact on coastal and marine ecosystems (Riemann et al., 2016). Similarly, alterations in marine environments, such as rising sea levels, can affect coastal communities (Ambinakudige, 2020). These complexities are often inadequately addressed in policy frameworks, leading to fragmented efforts in resolving interconnected issues (Tocco et al., 2024). The EU's aquatic environmental policy landscape is characterized by a significant divide between freshwater instruments (Water Framework Directive) and marine instruments (Marine Strategy Framework Directive). This separation creates challenges for achieving an integrated source-to-sea management approach (Sander et al., in press). Challenges arising from limited integration across jurisdictional borders are also particularly pronounced in transboundary contexts, where environmental pressures and policy impacts often extend beyond the jurisdictions of individual states.

Marine and coastal policy landscapes are inherently complex, spanning multiple governance levels, policy areas, and geographical scales. Understanding how policies interplay with one another across these systems, and whether they form a coherent whole, has become increasingly critical. In practice, however, policy objectives and measures are often misaligned or even contradictory, producing suboptimal trade-offs and unsatisfactory outcomes (Platjouw et al., 2025). This phenomenon is referred to as policy incoherence. There remains a pressing need for methodological approaches capable of identifying the structural conditions that generate or alleviate such incoherence.

This paper builds on a systematic literature review to investigate barriers and enablers to policy coherence in European marine and coastal governance. The review was conducted as part of the EU funded BlueGreen Governance project (Fobé et al., 2024). The following section presents the conceptual and analytical framework related to policy coherence. The methodological approach and research design are then presented, followed by the results. Finally, the findings and application of the framework are discussed.

2 Conceptual and analytical framework

2.1 Policy coherence as a pathway for addressing complex governance challenges

Policies are often developed in isolation, targeting specific sectors, governance levels or geographical scales. Limited attention to policy interplay across these three dimensions can lead to disjointed policy frameworks, focusing on isolated fragments of the complex socio-ecological systems they are meant to govern. Due to the multilevel governance system in Europe, European policies often need to be transposed and complied with at (sub)national governance levels. During this implementation process, many factors can influence the achievement of coherent policy outcomes. To illustrate, during policy implementation, achieving the intended outcomes of one policy may be constrained by the simultaneous implementation of other national and EU policies that need to be complied with, especially when incentives across policies are misaligned. Although societal tradeoffs cannot always be avoided, they can be reduced by strengthening policy coherence. Policy coherence refers to how well different policies work together. Platjouw et al. (2025) define policy coherence as

“the extent to which policies strengthen each other by promoting synergies or reducing conflicts between objectives and measures both in design and during implementation”

Low coherence can limit the effectiveness of policies as it increases the probability of making trade-offs that negatively affect achieving multiple policy objectives (Platjouw et al., 2025).

The concept of policy coherence has found resonance both in the policy making community as well as in policy research. A substantial body of literature has emerged, focusing on the assessment of policy coherence (“Are policy landscapes coherent?”). This literature has led to the development of various tools and guidelines for measuring the level of policy coherence. Notably, Nilsson et al. (2012) have made significant contributions by developing a cross-impact matrix approach to assess coherence across policy objectives.

A secondary line of research has emerged around the factors shaping policy coherence (“Why is there policy (in)coherence?”). Tchinda and Talbot (2023) argue that coherence can be influenced by internal layers, such as prevailing discourses and values, as well as external layers linked to stakeholder dynamics and institutional processes. While Tchinda and Talbot's (2023) review has advanced conceptual understandings of policy (in)coherence, there remains a notable absence of operational frameworks that can be applied to specific policy contexts. Meta-analyses of marine and coastal governance highlight persistent challenges across issue-related, institutional, process, and knowledge dimensions, particularly in relation to the complex nature of land-sea interactions (Morf et al., 2022; Tocco et al., 2024). While these meta-analyses provide insightful findings on the challenges of policy coherence, they do not extend to proposing guiding frameworks that would support practical application.

Marine and coastal governance operates within a complex and fluid socio-ecological system, making the achievement of coherence across horizontal, vertical, and geographical dimensions particularly challenging. This paper proposes a guiding framework that identifies patterns of barriers and enablers to policy coherence, providing valuable insights and informing pathways toward more coherent and effective marine and coastal governance.

An additional research novelty of this paper relates to the policy cycle phase where policy coherence is investigated. Tchinda and Talbot (2023) note that coherence is generally desirable during policy design, yet it remains challenging to understand how it can be achieved during implementation. While incoherence may often originate in the design phase, we argue that the implementation phase of policymaking may be even more critical. This is because implementation is where abstract policy objectives are translated into practice, requiring interpretation, prioritization and coordination among various sectoral interests, levels and organizations. Moreover, implementation processes often involve a broader set of stakeholders than in the design phase, whose influence may also affect the coherence of policy outcomes. In multilevel governance contexts, such as European marine and coastal policy, implementation plays a particularly important role. This is because EU-level instruments are transposed and applied at national and sub-national levels, where varying capacities, priorities, and institutional arrangements may either enhance or undermine policy coherence (Sander et al., in press). As such, implementation represents a key arena in which incoherences become visible and are either mitigated or exacerbated. Therefore, this paper considers policy coherence not only as a design issue but also as an implementation issue, aiming to identify the processes that influence and explain why incoherences emerge

2.2 Policy coherence framework

The systematic literature review is structured around the “Policy Coherence Framework” (Platjouw et al., 2025). The “Policy Coherence Framework” was developed under the Horizon Europe CrossGov project through a structured, multi-phase process spanning from September 2022 to early 2025. The framework is composed of two interlinked components. Part A provides a structured assessment of internal and external coherence focusing on the alignment of policy objectives and the measures employed to achieve them. Part B complements this by examining the underlying factors that affect coherent policy outcomes.

In this paper, only the second part of the framework is considered. Part B of the framework encompasses three broad categories of explanatory factors to policy (in)coherence. These were previously identified through a scoping literature review and expert discussions on the concept of policy coherence: (1) “Governmental organizations”, describing the roles and coordination mechanisms across institutions of public policy; (2) “Science-policy-society interfaces” (SPSI), relating to multi-directional and dynamic interactions between knowledge production, policy development, and decision-making; (3) “Stakeholder involvement mechanisms” referring to participatory processes and influence of various perspectives on policy processes. Altogether, these factors shape both policy design and implementation and, depending on context, can act as either barriers or enablers of policy coherence. To further refine the initial framework with these three overarching categories, developed as part of the CrossGov project, this paper sets out to investigate the explanatory factors with more analytical depth, in a more systematic manner, and with empirical evidence from the literature. Therefore, the paper contributes to a refinement of the initially proposed framework.

The paper follows an archetype approach, which is suitable for studying complex socio-ecological systems and has been applied in similar reviews (Oberlack, 2017). Archetype analysis explores recurring patterns at a moderate level of abstraction to support the development of explanatory models tailored to specific conditions. This approach makes it possible to identify common patterns while still preserving important contextual particularities (Eisenack, 2012; Oberlack et al., 2019). To delineate these contextual particularities, the study is situated within the domain of European coastal and marine policy. The main difference between archetype patterns and grand theories is that archetype patterns are not considered universally valid but are sufficiently evidenced to be applicable to other cases (Eisenack, 2012).

The research question guiding this paper is: Which recurring archetypical patterns of barriers and enablers influence policy coherence in European marine and coastal governance? The review advances understanding of marine and coastal policy coherence across three dimensions (vertical, horizontal, and geographical) and concludes with policy recommendations building upon the archetypical patterns.

3 Material, methods and research design

3.1 A systematic literature review approach

A systematic literature review (SLR) is an appropriate methodological approach for qualitative data analysis, facilitating the application of theoretical concepts in the literature while ensuring analytical transparency and transferability (Bingham, 2023). SLRs synthesize dispersed knowledge from individual studies, providing evidence for why and how phenomena occur. The PRISMA 2020 guidelines were applied to structure the study identification and screening process (Page et al., 2021). There is significant precedent for using a SLR approach in policy research on institutional barriers, enablers, and policy coherence (Oberlack, 2017; Righettini and Lizzi, 2021; Tchinda and Talbot, 2023).

3.2 Search design and identification of studies

The analytical investigation of barriers and enablers to policy coherence has been situated within a broader SLR process performed as part of the BlueGreen Governance project, requiring a multi-phased research design. The initial literature search was performed across different researcher sub-groups, necessitating a search string that captures a more comprehensive body of relevant literature on institutional complexities in European marine and coastal governance (Table 1). The search string was applied to the Web of Science (WoS) and Scopus databases. The inclusion criteria for the retrieved studies were peer-reviewed articles, early access, and book chapters written in English and published between January 2014 and February 2024. The timeframe was selected based on major revisions of European marine and coastal governance in 2014 following the implementation of the Maritime Spatial Planning Directive, justifying the choice of the lower-bound year. Review articles were excluded to avoid duplication of data. This SLR used the European Environmental Agency's definition of European countries and included only those with coastal access in the search string.

Table 1. Search string for the identification of relevant studies.

Keyword groupIndividual keywords
15.6-7.4,-25.7499ptKeyword A“institution*” OR “public polic*” OR “govern*” OR “integrated ecosystem management” OR “integrated ecosystem governance” OR “integrated ecosystem-based management” OR “integrated ecosystem-based governance” OR “ICZM” OR “Integrated coastal zone management” OR “ecosystem approach” OR “ICM” OR “Integrated coastal management”
AND
Keyword B“barrier*” OR “inertia” OR “path depend*” OR “lock-in*” OR “stick*” OR “obstacle*” OR “gap*” OR “mismatch*” OR “fragment*” OR “challenge*” OR “block*”
AND
Keyword C“coast*” OR “land-sea” OR “estuar*” OR “brackish” OR “littoral” OR “shore*” OR “marine” OR “maritime” OR “ocean” OR “sea”
AND
Keyword D“EU” OR “Europe*” OR “Netherlands” OR “Dutch” OR “France” OR “French” OR “Spain” OR “Spanish” OR “Norway” OR “Norwegian” OR “Belgium” OR “Belgian” OR “England” OR “United Kingdom” OR “UK” OR “British” OR “English” OR “Italy” OR “Italian” OR “Slovenia” OR “Slovenian” OR “Bulgaria*” OR “Denmark” OR “Danish” OR “German*” OR “Estonia*” OR “Ireland” OR “Irish” OR “Greece” OR “Greek” OR “Cyprus” OR “Cypriot*” OR “Latvia*” OR “Lithuania*” OR “Malta” OR “Maltese” OR “Poland” OR “Polish” OR “Portug*” OR “Romania*” OR “Finland” OR “Finnish” OR “Swed*” OR “Albania*” OR “Montenegr*” OR “Croatia*” OR “Turkey” OR “Turkish” OR “Iceland*” OR “Bosnia*” OR “Türkiye”

3.3 Screening process

The identified studies from the databases were imported into the Hubmeta platform, a supportive tool for the SLR screening process (Steel et al., 2023). Following the removal of duplicates, 1,444 studies were selected for the first screening. Because of the project's research design, the researchers first carried out a shared initial literature identification and screening round, before branching into thematic sub-themes. As a result, the screening process was conducted in two rounds, with sub-theme specific screening criteria added to the second screening round. An overview of the inclusion criteria during the two-staged screening phase can be found in Table 2.

Table 2. Screening criteria for the selection process.

Screening roundScreening criteria
First screening phaseGeographical scope: To be included, the geographical scope of the paper should be within the EEZ of a European coastal state that is geographically located on the European continent. This excludes outermost regions and OCTs. A paper addressing several case studies within and outside the geographical scope should only be included if there is sufficient evidence about the European case study.
Environmental issues at the land-sea interface or marine domain: To be included, papers should focus on environmental issues occurring at the land-sea interface and in the marine environment. This is opposed to human activities or sectors on land that are not interlinked to the aquatic coastal or marine environment.
Governance scope: To be included, the analysis of governance should be the main or at least an important focus of the paper. Papers from the field of natural sciences should be excluded if they do not sufficiently address the governance challenges related to the described phenomenon. In addition, papers should be within a public policy context, referring to the decisions and activities by governments set up through institutionalized frameworks or legal acts to achieve specified policy goals. Public policies may be made and implemented in cooperation/consultation with other groups of actors and are generally targeted toward the societal behavior of target groups, stakeholders or the wider public. Papers that only discuss private initiatives by these actors will not be considered. Moreover, the governance analysis should be relevant to the current governance situation (as defined by the time period of 2014–2024). Papers taking a historical perspective should only be included if they specifically describe governance challenges explicitly relevant to the current governance situation.
Second screening phasePolicy coherence: To be included, papers must explicitly address the interplay across policies or address the role of integrated policy approaches, such as overarching management plans relevant to the governance of marine and coastal areas. Policy is understood here in a broad sense, encompassing both non-binding strategies and legally binding directives, regulations, or other instruments. Eligible papers may focus on either the design or the implementation phase of policies, or both. In addition, papers should provide sufficient analytical depth.

The first screening round (only abstracts) served to identify a broader body of relevant literature on marine and coastal governance across the project. This resulted in a selection of 421 studies. The second round of screening included abstract and full text screening and was performed by the researchers investigating the sub-theme of policy coherence, applying the more thematic screening criteria. This reduced the number to 72 studies. During the entire screening process, each study was reviewed by two researchers independently, and disagreements were resolved through negotiations. Figure 2 illustrates the screening process flowchart, detailing the steps to narrow down the initial 1,444 identified studies to 72 retrieved studies based on the search criteria.

PRISMA chart. Indicating the screening process of relevant literature.
Figure 2. PRISMA chart. Indicating the screening process of relevant literature.

3.4 Codebook and data extraction

Deductive and inductive qualitative coding approaches were used in this project. Deductive codes are based on existing theories or assumptions and are defined a priori to the coding process, while inductive codes are developed by researchers during data analysis. Inductive codes capture emerging patterns and can add an additional layer of coding to refine the deductive codes (Bingham, 2023). Following Saldana (2021) two-stage coding cycle approach, this paper's research design combined an initial round of deductive coding with a subsequent round of inductive coding.

With the aim of this study being to test, validate and refine the “Policy Coherence Framework” (Platjouw et al., 2025), the deductive codebook used for the first coding cycle is structured around its three explanatory factors. The broader research questions associated with the three explanatory factors under the initial framework were converted into deductive coding categories of barriers or enablers, as illustrated in Table 3.

Table 3. Codebook (deductive codes).

BarriersEnablers
Governmental organizations
Unclear mandates and rolesClear mandates and roles
Absence of adequate coordination mechanismsExistence of intra-and inter-organizational coordination mechanisms
Misaligned geographical and temporal scalesWell-aligned geographical and temporal scales
Insufficient resource allocationSufficient resource allocation
Political processes and uneven power dynamicsPolitical processes and appropriate distribution of powers between organizations
Science-policy-society interfaces
Fragmented data and knowledgeShared data and knowledge
Inadequate assessments and monitoring systemsAdequate assessments and monitoring systems
Absence of (in)formal knowledge platformsExistence of (in)formal knowledge platforms
Stakeholder involvement mechanisms
Absence (or weak) stakeholder involvement mechanismsAdequate stakeholder involvement mechanisms

These deductive codes build on the prototype framework developed as part of the CrossGov research project.

The 72 selected papers were extracted from the Hubmeta platform before being processed by an AI-supported coding algorithm to support data extraction. There is sufficient evidence in applying AI in the abstract and title screening phase of SLRs (Bolaños et al., 2024; van Dijk et al., 2023; Wagner et al., 2022), whereas fewer studies have focused on the role of AI in data extraction (Bolaños et al., 2024). The coding algorithm, developed as part of this project, leveraged GPT-4 (OpenAI) to apply the predefined coding scheme and generate responses in an Excel file. The coding scheme followed the deductive codes outlined in Table 3, and definitions of each explanatory factor, based on Platjouw et al. (2024), were incorporated into the algorithm's prompts. For each study, the algorithm identified up to three key barriers and enablers each, selecting those most relevant to the study's arguments, and provided a brief explanation of the supporting evidence for each code selection. If a relevant barrier or enabler could not be assigned to an existing deductive code, it was highlighted under the category “other.” A group of researchers then read through the paper to review and manually adjust the codes and explanations to ensure quality. This was necessary because AI was found to have limited capacity to conduct the necessary interpretive analysis required for a systematic literature review. The AI-generated codes often lacked sufficient quality, especially when dealing with studies that included multiple case studies or extensive background sections. Despite shortcomings in the analytic capacity to effectively assign appropriate codes, the use of AI coding was considered useful and timesaving.

The results of the first coding round were organized into tables for each of the deductive codes. In a second coding round, researchers analyzed the results and assigned new inductive codes to reflect commonalities and recurrent patterns (archetypes) within each deductive category. One researcher initially assigned the inductive codes individually, which were then reviewed and modified after discussions with a second researcher. Since the search string and resulting body of literature was more oriented toward governance challenges than solutions, the inductive codes were developed based on the analysis of the identified barriers. For the enablers, the inductive codes were reversed (e.g., “Absence or limited capacity of a clearly leading authority” was framed as “Presence of a clear leading authority”), and results retrieved from the deductive coding were assigned to these inductive codes. Additional inductive codes were created for those retrieved examples of enablers that did not fit into any of the inductive codes previously created.

3.5 Study limitations

To minimize the risk of partial overlaps between coding categories, the researchers initially coded a selection of studies together and held regular meetings to align their understanding of the coding categories and discuss examples. Although this SLR includes some quantitative results, the research design primarily focused on qualitative aspects. Therefore, the subjective classification of examples does not compromise the robustness of the results.

Another point of consideration pertains to the strength of evidence, specifically of identified enablers. While barriers were in almost all cases linked to empirical observations based on case studies or similar, some of the enablers were grounded on expert and/or author recommendations. Since the sample of studies only includes peer-reviewed studies, the authors concluded that both types of evidence should be considered as valid for the archetype approach. Differentiation of these types of evidence in future research could provide additional insights into the conduct of an SLR.

4 Results

The principal outcome of this SLR is a refined categorization of the “Policy Coherence Framework”, introducing an additional analytical layer that identifies archetypical patterns of barriers and enablers to policy coherence. These archetypes are organized according to the three explanatory factors of the prototype framework developed in the early stages of the CrossGov project: (1) governmental organizations, (2) science-policy-society interfaces, and (3) stakeholder involvement mechanisms. Within each explanatory factor, the subheadings correspond to specific attributes, which are operationalized as the deductive codes applied during the initial coding phase. The inductive codes, representing the archetypical patterns identified through the SLR, are highlighted in bold throughout the following section, which elaborates on these archetypes, supported by empirical examples from European marine and coastal governance.

Figure 3 provides an overview of how frequently different attributes are mentioned in relation to barriers and enablers. The results show that barriers and enablers associated with governmental structures are the most cited explanatory factors. Among the individual attributes, coordination mechanisms receive particularly high attention, being frequently discussed in relation to both barriers and enablers. In addition, barriers related to data availability and knowledge are also commonly reported.

Occurrence of barriers and enablers along the selected attributes. The numbers indicate the absolute occurrence of each attribute.
Figure 3. Occurrence of barriers and enablers along the selected attributes. The numbers indicate the absolute occurrence of each attribute.

Table 4 provides a comprehensive overview of this archetypical structure. References to the inductive codes are provided in the annotations of Table 4.

Table 4. Archetypical patterns of barriers and enablers to policy coherence.

AttributesBarriersRefsEnablersRefs
Governmental organizations
Mandates and rolesUnclear mandates and roles#36Clear mandates and roles#10
Absence or limited capacity of clearly leading authority27, 36, 65, 22, 15, 31Lead organization or committee appointed to ensure strategic oversight and integrated approaches18, 52, 28, 66, 72, 70
Unclear responsibilities and competences across governance levels49, 63, 53, 5Clear responsibilities and well-defined processes across governance levels10, 59
Ambiguity in financial responsibility for management interventions33, 40
Unclear articulation between legal frameworks and heterogenous domestic transposition11, 45, 23, 25, 35Clarity in legal frameworks that outline mandates and roles to promote common understanding67
Fragmentation between governmental organizations with conflicting/overlapping mandates69, 12, 62, 18, 39, 44, 64, 66, 68Integration of governmental organizations51
Incomplete or unclear assignment of responsibility for a policy issue53, 72, 19, 60
Lack of shared understanding or definition of management concepts/approaches61, 41
Structural reorganization with unclear definitions in responsibility24, 67, 43, 51
Coordination mechanismsAbsence of adequate coordination mechanisms#49Existence of intra and inter-organizational coordination mechanisms#46
Absence of adequate coordinating body for specific policy issue6, 43, 53Presence of adequate coordinating authority for a specific policy issue6, 64, 19, 53, 43, 49, 72
Absence of adequate coordination body at transboundary level4, 69, 29, 34, 45, 32, 56, 41Presence of adequate coordination body at transboundary level9, 16, 34, 35, 36, 41, 56, 58, 68, 27, 48, 17, 31
Absence of coordination mechanisms for conflict resolution54, 24, 30
Fragmentation, gaps and overlaps in legal frameworks as barrier to coordination71, 27Integrated legal frameworks ensure coordination69, 11
Limited coordination and challenges associated to multi-level governance landscapes31, 72, 1, 44, 5, 64, 44, 65, 11, 25Effective coordination across governance levels through regular interactions5, 33, 40, 1
Limited coordination across boundaries of governmental organizations (siloed sectors; across geographical scales)40, 70, 58, 51, 12, 60, 61, 2, 26, 33, 14, 7, 22, 37, 18, 55, 50, 23, 11, 25Effective coordination across boundaries of governmental organizations, for example, through cross-organizational steering group or establishment of overarching strategy/management plan4, 6, 22, 24, 39, 51, 43, 7, 44, 45, 62, 60, 59, 47, 50, 52, 65, 2, 26
Path-dependencies of existing fragmentation as barrier to new integrated approaches63, 39, 49
Financial incentives for cooperation and coordination12
Geographical and temporal scalesMisaligned geographical and temporal scales#13Well-aligned geographical and temporal scales#3
Difficult coordination across large geographical scales16, 48
Governance levels with different priorities7, 1Governance levels & legal instruments with coherent priorities and objectives ensure integration8
Mismatch between the ecological boundaries and administrative boundaries6, 8, 32, 34, 49, 62Consideration of and coordination between ecological and administrative boundaries32, 23
Temporal misalignment between policy issues and political priorities12, 40, 5
Resource allocationInsufficient resource allocation#9Adequate resource allocation#3
Government austerity measures with negative effect on environmental management19, 66, 42, 14Continued/stable resource commitment supports monitoring and enforcement47
Limited resources limit effective policy implementation and coordination46, 16, 47, 57Supranational funding mechanisms can support implementation62, 2
Disparities in resources across states limit transboundary coordination17
Political processes and power dynamicsPolitical processes and uneven power dynamics#8Political processes and appropriate distribution of powers between organizations#1
Uneven power dynamics cause influence on governance processes39, 59, 70, 26
Lack of political support or endorsement undermine long-term efficiency28, 47
Absence of governance structures or political conflicts as obstacles to cross-border cooperation16, 9
Subsidiarity and support of local decision-making in through overarching strategies53
Science-policy-society-interfaces
Data and knowledgeFragmented data and knowledge#34Shared and accessible data and knowledge#17
Absence or paucity of relevant data6, 7, 11, 18, 21, 25, 52, 55, 70, 34Comprehensive and relevant data availability through open-access models, portals or research projects29, 30, 32, 33, 41, 59, 65, 43, 68, 38
Data fragmentation across legal frameworks44, 48Data collection systems integrated across legal frameworks48
Data fragmented across knowledge providers64, 68Data shared across knowledge providers, including industry and other stakeholders11
Data fragmentation across different knowledge systems13, 38, 59, 33, 24, 69, 71, 54, 26Integration across knowledge systems (across different disciplines and knowledge types)13, 24
Lack of shared/harmonized cross-border data4, 10, 20, 29, 41, 45, 67, 34, 31Shared and standardized cross-border data and tools4, 45, 31
Temporal mismatch of data availability and policy needs50, 65
Assessments and monitoring systemsInadequate assessments and monitoring systems#6Adequate assessments, tools and monitoring systems#13
Absence of shared assessment at transboundary level36, 56Shared assessment at transboundary level10, 21, 28
Separated monitoring systems across legal frameworks8Shared and standardized monitoring systems and indicators54, 23, 8
Inadequate impact assessment of planning process30, 37, 3Tools to support impact assessment of planning process (e.g., best expert judgement, guidelines)10, 21, 28
Scenario development to support shared problem understanding3, 9, 26, 72
Knowledge transfer platformsAbsence of (in)formal knowledge platform#17Formal/informal knowledge transfer platforms#15
Absence of permanent and integrated knowledge platforms impedes science-policy dialogues42, 48Permanent and integrated knowledge platforms (e.g, partnerships, for a, centers)7, 67, 27, 50, 35, 51, 42, 36
Limited coordination between governmental organizations and knowledge providers38, 68, 61, 15, 38Dialogue between knowledge providers, decision makers and other stakeholders (e.g., workshops, courses, communities of practice)71, 61, 22, 46, 39, 70, 2
Stakeholder involvement mechanisms
Stakeholder involvement mechanismsInadequate stakeholder involvement mechanisms#24Existence of stakeholder involvement mechanisms#54
Lack of transboundary platforms or mechanisms that include local perspectives4, 56Transboundary platforms or mechanisms as arenas for coordination35, 36, 41, 45, 31, 56
Uncoordinated approaches for stakeholder involvement across policy areas10, 17, 36, 58Multi-sectoral stakeholder involvement across policy areas23, 66, 71
Lack of (or weak) formalized stakeholder involvement mechanisms19, 28, 29Formalized stakeholder involvement mechanisms (e.g., through partnerships, coalitions and establishment of guidelines)7, 10, 12, 13, 15, 24, 28, 33, 37, 61, 63, 58, 70, 54, 71, 18, 26, 34, 34, 44
Uneven stakeholder involvement (lack of representation of certain groups/actors or uneven power dynamics)22, 30, 57, 59, 71, 54, 1Representative and balanced stakeholder involvement (including locals)14, 22, 30, 38, 39, 42, 50, 64, 67, 1, 68, 62, 46, 40, 48
Ineffective stakeholder involvement (limited influence, lack of transparency)37, 46, 50, 50, 52, 53, 55, 60, 62Effective and adequate stakeholder involvement (transparent processes, clear expectations annd roles)4, 6, 8, 11, 47, 52, 46, 53, 55, 9

The deductive codes are color-coded, the inductive codes (archetypes) are uncolored. The number (#) indicates the frequency a specific barrier or enabler was reported. The identification numbers refer to the following references that supported the identification of archetypes: 1 (Westholm, 2022); 2 (Wamsler et al., 2014); 3 (Amani Fard et al., 2023); 4 (Ansong et al., 2022); 5 (Antonson et al., 2016); 6 (Apolonia et al., 2021); 7 (Ballinger, 2015); 8 (Black et al., 2019); 9 (Blenckner et al., 2015); 10 (Bocci et al., 2024); 11 (Brennan et al., 2014); 12 (Brown et al., 2017); 13 (Bruckmeier, 2014); 14 (Buono et al., 2015); 15 (Cantasano et al., 2017); 16 (Cavallo et al., 2017); 17 (Cinnirella et al., 2014); 18 (de Koning et al., 2021); 19 (Den Uyl and Russel, 2018); 20 (Elliott et al., 2023); 21 (Elliott et al., 2018); 22 (Kelly et al., 2018); 23 (Ferreira et al., 2014); 24 (Fidélis and Carvalho, 2015); 25 (Fraschetti et al., 2018); 26 (Walsh, 2019); 27 (Tynkkynen et al., 2014); 28 (Frazão Santos et al., 2015); 29 (Galdies et al., 2020); 30 (Gee et al., 2024); 31 (van Tatenhove, 2017); 32 (Gómez-Ballesteros et al., 2021); 33 (Göransson et al., 2021); 34 (Hammer, 2016); 35 (Hassler et al., 2018); 36 (Jouanneau and Raakjær, 2014); 37 (Karlsson, 2019); 38 (Karrasch et al., 2023); 39 (Kelly et al., 2019); 40 (Therville et al., 2019); 41 (Kull et al., 2021); 42 (La Jeunesse et al., 2015); 43 (Lange et al., 2018); 44 (Lillebø et al., 2020); 45 (Moodie and Sielker, 2022); 46 (Morf et al., 2017); 47 (Muccitelli et al., 2023); 48 (van Hoof and Kraus, 2017); 49 (O'Hagan et al., 2020); 50 (Oliveira et al., 2020); 51 (Österblom et al., 2017); 52 (Pecceu et al., 2016); 53 (Pendleton and Carr, 2023); 54 (van der Molen et al., 2015); 55 (Piwowarczyk and Wróbel, 2016); 56 (Pinarbasi et al., 2020); 57 (Pröbstl et al., 2023); 58 (Raakjaer et al., 2014); 59 (Ramieri et al., 2024); 60 (Ramírez-Monsalve et al., 2016a); 61 (Ramírez-Monsalve et al., 2016b); 62 (Vaidianu et al., 2020); 63 (Ribeiro, 2017); 64 (Sandersen and Kvalvik, 2014); 65 (Satta et al., 2016); 66 (Sayers et al., 2021); 67 (Schmidt et al., 2022); 68 (Solomun et al., 2022); 69 (Soma et al., 2015); 70 (Spijkerboer, 2021); 71 (Steins et al., 2021); 72 (Stori et al., 2023).

4.1 Governmental organizations

Governmental organizations, at multiple governance levels, establish the framework for policy formulation and implementation. They define the roles, responsibilities, and coordination of relevant organizations, impacting policy coherence (Platjouw et al., 2025). The SLR highlighted that mandates, responsibilities, and coordination mechanisms within and across governmental organizations were amongst the most frequently reported explanations for policy (in)coherence.

4.1.1 Mandates and roles

This attribute relates to how the clarity and allocation of mandates and roles across governmental organizations shape policy (in)coherence. Unclear mandates and roles were identified among the most frequent barriers to coherent marine and coastal governance. A commonly observed issue, particularly pronounced in coastal areas, is the existence of various organizations with overlapping or competing mandates. The absence of a clear leading authority results in fragmented and uncoordinated efforts that hinder coherent management approaches. In other cases, the unclear management responsibility or legal mandate to act on a specific policy issue, such as climate change adaptation in coastal areas, can lead to fragmented efforts and inaction. To overcome these barriers, specifically appointed roles or committees can ensure better accountability, coordination and leadership. For instance, to align dispersed flood risk management planning in England involves assigning strategic oversight to the Environment Agency. When designating a lead responsibility to a central organization, the authors highlight that it is crucial to ensure collaboration and integration with local authorities and their expertise (Sayers et al., 2021).

At the transboundary level, the unclear responsibilities or the absence of a single supranational body often arise from overlapping jurisdictions and are a recurrent barrier to ensure coherent approaches in environmental cooperation and marine spatial planning (MSP). These challenges are partially caused by the ambiguity in legal frameworks which are transposed heterogeneously at the level of member states. EU Directives, such as the MSP Directive, are adopted in light of the domestic governance contexts, resulting in different approaches. Moreover, the unclear articulation between different legal frameworks at the EU level [e.g., the Marine Strategy Framework Directive (MSFD), the MSP Directive, and the Integrated Coastal Zone Management (ICZM) Recommendations] is passed down to national and sub-national levels. This results in heterogeneous approaches to implementation within national and sub-national governmental organizations.

Fragmented governmental organizations with conflicting or overlapping responsibilities are therefore a commonly observed barrier to coherent approaches. Coastal management, which requires integrated strategies across the land-sea interface, often suffers from divided and siloed management responsibilities. The literature indicates that these responsibilities are frequently split among several governmental organizations, separating land from sea. This can result in inefficiencies and uninformed policy interventions. Adapting to climate change is becoming an increasingly pressing issue, particularly in coastal areas. In this regard, disjointed governmental organizations with unclear and isolated responsibilities can even lead to maladaptation, as demonstrated by a case of interventions on coastal defense structures that did not consider managed realignment strategies prepared by a separate organization (Brown et al., 2017).

Integrating governmental organizations across sectoral levels and geographical scales can be one way to circumvent this land-sea fragmentation of management responsibilities. In the case of Sweden, the establishment of a marine and freshwater agency was intended to overcome the silos between marine and fisheries management. The authors however argued that this re-organization achieved limited success due to a lack of leadership and consideration of cultural factors, and freshwater issues were not sufficiently integrated (Pendleton and Carr, 2023). This indicates that structural reorganization of governmental organizations due to political or administrative changes should be accompanied by clearly defined responsibilities.

Ambiguity regarding financial responsibility and unresolved questions about which organization should fund infrastructure assets or realignment interventions present another barrier to effective and well-integrated policy interventions.

4.1.2 Coordination mechanisms

This attribute focuses on how various types of coordination mechanisms across boundaries of governance organizations affect coherence. The absence of adequate coordination mechanisms is reported as a clearly manifested barrier to coherent policymaking, at all levels of governance.

Marine and coastal ecosystems transcend administrative borders; however, several studies suggest that cross-border MSP and MSFD implementation are hampered by the absence of adequate coordination bodies at the transboundary level. The cooperation established through the Regional Seas Conventions is recognized as important venues for transboundary cooperation and toward a more coherent implementation of EU Directives. Not only do they facilitate dialogue on marine resource management at a regional scale; but they also provide a venue for cooperation on transboundary MSP. The formalized cooperation between the Regional Sea Convention HELCOM with VASAB (Vision and Strategies around the Baltic Sea), is highlighted in this regard (Hassler et al., 2018; Karrasch et al., 2023). Further integration between the Regional Seas Conventions and the EU, as well as non-EU states, is recommended in the literature. In the Baltic Sea, the EU has enhanced its interactions with HELCOM by adopting a dedicated Strategy for the Baltic Sea Region, promoting synergies between the implementation of EU legislation and transnational regional cooperation under HELCOM (Tynkkynen et al., 2014).

Another frequently observed barrier is the limited coordination and challenges associated with multilevel governance landscapes, causing fragmented and disconnected policy efforts. This can lead to poorly informed policy decisions, as seen in instances where a lack of coordination and conflicts between local and regional governance levels resulted in limited integration and alignment of climate change considerations into spatial planning. While devolving governance responsibilities can potentially enhance the integration of local perspectives, it may also lead to an increase in the number of responsible organizations, thereby complicating coordination across different levels of governance. To ensure effective multi-level coordination, it is recommended that lower governance levels are consulted and integrated into regional and national strategies for coastal and marine management, including regular interactions to achieve a shared long-term vision.

In addition to vertical coordination challenges, limited horizontal coordination across boundaries of governmental organizations is another prominent barrier. Whereas limited coordination across siloed sectoral organizations is indicated as one of the main barriers to policy coherence, the literature also indicates limited coordination across geographical scales as well as challenges due to the existence of many organizations, particularly in coastal areas. Coordination efforts can also be complicated implementation of multi-use scenarios in Dutch MSP, due to the when responsibilities for legal frameworks are fragmented across separate governmental organizations. One example related to the difficult fragmented regulatory landscape involving several organizations (Steins et al., 2021).

The literature suggests several pathways to how effective coordination across organizational boundaries can be established. Multi-sectoral or multi-agency committees or steering groups are an often-employed technique to enhance coordination. Establishing an overarching strategy or management plan is another approach that can support coordination by creating shared understanding, vision, and commitment toward shared objectives. Similarly, involving multiple governmental organizations in joint projects can foster interactive dialogue and enhance collaboration. It is however emphasized that existing challenges in coordination across fragmented legal and organizational frameworks are not easily resolved by adding additional layers of coordination, due to path dependencies and unresolved fragmentation issues.

Incoherent planning approaches can also be a result of authorization and licensing processes being spread across various governmental organizations, without an adequate coordination body for this specific policy issue. Streamlining these processes by designation a coordination authority can facilitate these processes.

Furthermore, the lack of a coordination mechanism for resolving conflicts between various interests and organizations can result in impasses and unresolved trade-offs, undermining policy coherence.

4.1.3 Geographical and temporal scales

This attribute expresses how mismatches or alignments between temporal and geographical scales influences coherence. Limited consideration of relevant geographical and temporal scales is a recurrent pattern that helps to explain why policy interventions often fail to address interconnected policy issues in a coherent approach. Implementation of EU Directives (such as the MSFD) across large geographical scales require coordination across organizations and jurisdictions, challenging coordinated efforts.

Another common mismatch can be observed between ecological and administrative boundaries. For example, the MSFD and the WFD (Water Framework Directive) apply to different geographical scales and timelines and lack a unified coordination structure, which poses a barrier to coherent water management from source to sea. These observations of the land-sea divide also pertain to spatial planning, highlighting the limited connection between marine and coastal planning. Therefore, it is recommended to enhance their coordination.

Incoherences in management strategies can arise from differing priorities and competencies at various governance levels and geographical scales. National governments, which have planning authority at sea, tend to operate on longer time scales and have different priorities compared to local authorities, who often focus on immediate socio-economic concerns along the coast. This disparity can lead to divergent visions and fragmented, sometimes conflicting, strategies.

Temporal misalignments between policy issues and political priorities can lead to ineffective policy interventions, particularly in climate adaptation. While long-term measures are necessary to address these issues, short-term political funding and electoral cycles often undermine these efforts. For example, in Sweden, electoral pressures caused local planning authorities to support short-term engineering solutions that maintain current lifestyles along the coast, whereas regional planning authorities adhere to national guidelines on managed retreat to decrease exposure from future sea level rise (Antonson et al., 2016).

4.1.4 Resource allocation

This attribute reflects how the availability and distribution of resources affect policy coherence. Insufficient resource allocation also hampers integrated management approaches. The shortage of dedicated funds and resources restricts staff efforts, cooperation, and enforcement, leading to weaknesses in integrated management frameworks. Supranational funding mechanisms, such as those from the UN or EU, can help support integrated management. Government austerity measures are another frequently observed obstacle, with recurring budget cuts affecting environmental and coastal climate adaptation efforts.

4.1.5 Political processes and power dynamics

This attribute examines how political support, institutional dynamics and power asymmetries shape policy coherence. A lack of political support or endorsement for policy frameworks or management tools can compromise their long-term effectiveness and lead to implementation challenges. Incoherences can also arise from uneven power dynamics, where dominant sectoral interests shape the policy-making process to serve their own objectives and agenda. These imbalances restrict the integration and consideration of diverse interests and perspectives. For example, Spijkerboer (2021) argue that the strong influence of the offshore wind sector in Dutch marine spatial planning has hindered truly integrated planning, leading instead to “strategic sectoral planning.” These power imbalances can also occur when there is participation of various governance levels holding different powers and interests, hence complicating efforts toward coherent management approaches.

On a transboundary level, cooperation that would be required for coherent implementation of the MSFD or Marine Protected Area (MPA) management can be undermined by political obstacles, such as limited willingness to coordinate regionally, as well as weak transnational structures and conflicts between states.

4.2 Science-policy-society interfaces

Science-policy-society interfaces (SPSI) are multi-directional social processes that influence dynamic interactions between knowledge production, policy development, and decision-making. These interfaces can be examined within specific SPS systems, focusing on the involved actors and their roles throughout the policy cycle. Effective SPSI can promote and support policy coherence, which relies on science and knowledge to provide a shared evidence base to support transparency in decision-making. This evidence base should incorporate and consider science and knowledge from various policy areas (Barbanti et al., 2023; Platjouw et al., 2024).

4.2.1 Fragmented data and knowledge

This attribute relates to how the availability, accessibility and integration of data and knowledge influence coherent policymaking. Evidence-based decision-making in marine and coastal governance is challenged when data and knowledge is unavailable or widely dispersed across organizations, systems, and formats. The barrier of fragmented data and knowledge manifests in various ways at SPSI with implications for policy coherence. The absence or paucity of relevant data about the marine environment is highlighted as a major deficit. This can limit environmental considerations in decision-making processes and cause conflicts among stakeholders, undermining integrated management approaches (Pecceu et al., 2016). Several papers suggest data shared and made accessible through research projects or open-access data portals, can increase knowledge availability and support the integration of science into decision making (Gee et al., 2024; Gómez-Ballesteros et al., 2021). Another recurrent barrier is data being fragmented across knowledge providers and knowledge systems. These divisions occur along the boundaries of disciplines (natural-physical and socio-economic), sectors and geographical scales. The limited consideration of various knowledge systems and lack of shared understanding among different stakeholders can cause conflict or inaction. To alleviate these challenges, it is recommended to integrate various sources of knowledge into the management process. Fragmented data are sometimes a result of different legal frameworks (e.g., EU Directives) that set out their own system for data collection. Not only does this pose a barrier to integrated management approaches, but it also puts high pressure on scientific advisory systems. Generally, the lack of harmonized/standardized cross-border data sources poses challenges for coherent transboundary marine spatial planning. The creation of transboundary maps and integrated geo-spatial tools across borders is an efficient way to improve transboundary marine spatial planning processes. Temporal mismatches of data availability and policy needs, for example, when data sources are outdated or updated at different time intervals than required by policies and decision-making can also challenge SPSI.

4.2.2 Inadequate assessments and monitoring systems

This attribute reflects how the design and coordination of assessment and monitoring systems affect policy coherence. Inadequate assessments and monitoring systems are often manifested by an absence of shared assessments at the transboundary level. Environmental assessments being conducted at the level of individual member states instead of regional coordination can cause varying approaches and temporal delays, which act as a barrier to effective transboundary planning. Planning based on shared environmental assessments at a transboundary level can support improved coherence through effective implementation of EU Directives (MSFD and MSP). Separate monitoring systems, sometimes stemming from different legal systems, limit effective understanding of a policy issue that is caused by interactions across large jurisdictional scales. Uninformed policy choices can also arise due to inadequate impact assessments that fail to capture cumulative impacts and a lack of tools to understand the effect of a policy. To overcome weaknesses in the impact assessments, the literature suggests several tools for improved planning processes. These include for instance the use of the ‘Best Expert Judgement' method to address gaps in data needs (Elliott et al., 2018) or the use of international guidelines that outline a standardized approach for application at national level. Scenario planning can support shared problem understanding and facilitate the integration of knowledge into decision-making.

4.2.3 Knowledge platforms

This attribute sheds light on the role of formal and informal knowledge platforms in facilitating knowledge exchange and supporting coherent decision-making processes. An important aspect relates to the dynamic processes of how knowledge is transferred between knowledge providers and policymakers. Knowledge platforms that collect, manage, and make information related to marine research accessible and understandable can support the design and implementation of coherent policies. The absence of permanently integrated knowledge platforms as well as limited coordination across government organizations and knowledge providers was found to produce uncoordinated efforts and be a barrier to integrated management interventions. The existence or establishment of knowledge transfer platforms (e.g., established partnerships, networks, fora or information centers) contribute to better informed and coordinated efforts by supporting the compilation and sharing of data (Schmidt et al., 2022; Tynkkynen et al., 2014). They can also be an important platform for disseminating knowledge to the wider public, increasing awareness and engagement for a policy intervention. The importance of dialogue between knowledge providers, decision makers and other stakeholders, for example through workshops and courses or through advisory councils and co-creation of policy interventions, has also been highlighted as an important contribution.

4.3 Stakeholder involvement mechanisms

Stakeholder involvement mechanisms refer to how participatory processes (e.g. consultations, dialogue meetings, and workshops) enable stakeholders to influence policy framing, design, and implementation. Stakeholder engagement processes occur on a spectrum with varying levels of information exchange, knowledge, values and ideas for direct influence or more tokenistic forms of involvement. Inclusive, participatory mechanisms with adequate involvement of relevant actors and interests are more likely to have a stronger contribution to coherence than processes involving few interests that may be typical “clients” for one sector only (Platjouw et al., 2024). While stakeholder involvement is often associated with positive outcomes for policy coherence, there are also challenges related to greater process complexity, inaction and thereby contributing to policy incoherence.

The lack of transboundary platforms or mechanisms, as well as the lack of involvement of local stakeholders in transboundary processes are identified as barriers to effective stakeholder involvement processes. They can both lead to a lack of trust in the planning system as well as hinder integration of knowledge and perspectives (Ansong et al., 2022; Pinarbasi et al., 2020). The literature recommends the establishment of transboundary platforms or forums for collaboration, such as initiatives at the regional seas level that can facilitate the sharing of knowledge and collaboration among scientists, governments, and stakeholders (Hassler et al., 2018).

The lack of coordinated approaches for stakeholder involvement across policy areas is another barrier to policy coherence, identified in the literature. Stakeholder involvement across policy areas is especially important at the land-sea interface, however, several papers highlight an absence of coordinated multi-sector stakeholder involvement processes in specific geographical scales or limited coordination of stakeholders' involvement processes across policies. Coordinated approaches for stakeholder involvement contribute to better horizontal policy coherence.

The lack of (or weak) formalized mechanisms for involving stakeholders is recognized as a barrier to integrated management measures, potentially leading to conflicts. The literature provides many good examples of enablers to strengthen such formalized mechanisms, such as the establishment of formalized partnerships, coalitions or formal processes for stakeholder involvement. Some examples of this being the Severn Estuary Partnership (Ballinger, 2015), the Baltic Environmental Forum (Raakjaer et al., 2014), and the Dutch North Sea Dialogues and Agreement (Spijkerboer, 2021). Stakeholder engagement can also be formalized through guidelines and protocols. Setting up stakeholder involvement as an integral element of ICZM or MSP (or EBM) management practices is also considered essential.

Uneven stakeholder engagement has been identified as the largest barrier to stakeholder involvement. The lack of representation of certain stakeholders in the development of a plan, policy or decision, involving (some) stakeholders late in processes, or uneven power dynamics affecting the implementation of the plan, policy or decision are key barriers (Kelly et al., 2018; Pröbstl et al., 2023). In general, the importance of a representative and balanced involvement of stakeholders in the development of a plan, policy or decisions is highlighted. This includes the involvement of local stakeholders, as well as a diverse set of stakeholders representing the public, organizations, state, municipalities, etc.

Emphasis is not only put on adequate and representative involvement, but also on effective stakeholder involvement, including processes that are clear and transparent with respect to the process, roles of certain bodies, and varying perspectives. Ineffective stakeholder involvement can be caused, for example, through a lack of power and influence on final outcomes or opaque stakeholder involvement processes causing uncertainty about the process, roles, and interests at stake. It is recommended that stakeholder perspectives have an influence on the final outcome of the process, and that stakeholders are informed about the potential outcomes of the processes in advance to avoid misunderstandings.

5 Discussion

By systematically analyzing the evidence from the European marine and coastal governance literature across three explanatory factors, recurring archetypical patterns of barriers and enablers are identified that influence policy coherence. The results are discussed in light of the initially proposed concept of policy interplay in complex multi-level systems that characterize marine and coastal areas, with attention to policy recommendations and their relevance beyond the scope of this study.

5.1 Archetypes revisited along vertical, horizontal and geographical dimensions

Eisenack (2012) suggest that recurring patterns (archetypes) identified across diverse empirical cases serve as building blocks that can facilitate the sharing of experiences and learning both within and beyond the studied cases. These archetypes can be transformed into broad policy recommendations to guide planning and decision-making processes.

The paper's introduction highlights how European marine and coastal governance reveals policy interplay across three dimensions: vertical, horizontal, and geographical. Revisiting these dimensions by linking them to the archetypes structured around the explanatory factors of the “Policy Coherence Framework” provides an opportunity to generate more nuanced policy recommendations. However, the core principle of the archetype approach is reaffirmed: the recommendations are not universal truth but must always be interpreted in light of context. Variations in legal systems, administrative structures, and policy cultures may require adaptations to ensure their continued relevance.

Firstly, the mandates, roles and coordination mechanisms across governmental organizations are an important reason for policy (in)coherences, and power imbalances between actors may further exacerbate incoherences. Vertically, actors and authorities at different governance levels often operate with varying planning priorities and time horizons, which can result in disconnected or even contradictory policy incentives. These challenges may be reinforced by asymmetric power relations, where higher governance levels shape priorities with limited input from local or regional actors. It is therefore important to clearly define roles and ensure meaningful coordination and engagement across governance levels during the development and implementation of national policies. On the horizontal dimension, sectoral silos represent a key source of incoherence in decision-making, and these may be particularly pronounced when dominant sectors exert disproportionate influence over policy processes. To address these challenges, cross-sectoral strategies or integrated management plans are recommended, as they can foster shared visions, enhance transparency, and support more balanced participation in decision-making. From a geographical perspective, the misalignment between administrative boundaries and ecological realities often leads to overlapping responsibilities or gaps. This challenge is particularly evident at the land-sea interface, where policy instruments are frequently designed and applied on only one side of the administrative divide. Enhancing geographical coherence requires deliberate recognition of cross-boundary interactions within legal frameworks, coupled with stronger practical coordination among authorities operating along the land-sea interface. These findings align with the meta-analysis by Tocco et al. (2024), which underscores that land-sea interactions remain insufficiently embedded in governance and highlight the need for stronger coordination and collaborative approaches.

Secondly, the evidence on Science-Policy-Society Interfaces (SPSI) highlights the critical role of knowledge systems in shaping coherent policymaking. The horizontal fragmentation of knowledge and data is apparent across sectoral silos and disciplines, requiring improved data sharing practices. This should also involve industry actors and various other knowledge source holders. Moreover, the complex interactions of policy issues at the land-sea interface are poorly captured due to fragmented knowledge practices across these geographical divides. This challenge is further amplified by legal frameworks that establish data collection and monitoring systems covering only parts of the interface. Addressing these gaps requires that knowledge-production processes mandated by law ensure stronger alignment across geographical domains, for instance by harmonizing indicators and integrating monitoring platforms or reporting requirements. Furthermore, marine and coastal policy issues often also extend beyond national borders, yet the research highlights a significant gap in transboundary cooperation at the supranational level. This gap undermines the efficiency of vertical knowledge transfer from supranational to national governance, and it thus recommended to enhance the role of shared environmental assessments and harmonize data across national borders within shared portals. The Regional Seas Conventions play an important facilitator in this regard.

Finally, the research documents that stakeholder involvement mechanisms are both a prerequisite and a challenge for increased policy coherence. Barriers pertain to the exclusion of local actors in national processes, lack of transboundary engagement mechanisms, and uneven representation across sectors and geographical scales. This relates specifically to the limited inclusion and power imbalances of coastal stakeholders within marine spatial planning processes. Enablers stress the need for transparent, inclusive approaches that elevate local perspectives and ensure balanced representation. Horizontal coherence is supported by coordinated multi-sector involvement, often through advisory bodies or communities of practice. Geographically, applying guidelines that ensure stakeholder representation across the land-sea interface can foster legitimacy and responsiveness in planning.

5.2 Methodological considerations on universal applicability

A crucial aspect of institutional research involves determining whether the findings possess generic validity beyond the specific empirical sample examined in the study. Oberlack (2017) argues against the existence of unequivocal governance principles due to two main factors: detailed complexity and trade-offs. Detailed complexity implies that contextual factors influence the way an institutional attribute affects governance outcomes. Trade-offs further complicate generalization, as a single attribute can shape different dimensions of governance in opposing ways (Oberlack, 2017). To illustrate, Oberlack (2017) argues that strong leadership is often regarded as an institutional enabler; however, when combined with pronounced power asymmetries, it may produce adverse effects on both the fairness and efficiency of outcomes. Stakeholder inclusion may enhance legitimacy while simultaneously increasing transaction costs and slowing decision-making, potentially leading to impasses (Oberlack, 2017). Evidence from this review substantiates both dynamics. While coordination mechanisms are frequently recommended as mechanisms to enhance policy coherence, their effectiveness is highly context dependent. When such mechanisms operate within settings characterized by strong power asymmetries, they may reinforce the dominance of specific sectoral interests rather than facilitate balanced integration. The Dutch North Sea Agreement illustrates this tension well: although it was established to address coordination challenges among governmental organizations and stakeholders (de Koning et al., 2021), the process has been shown to be strongly influenced by the offshore wind sector, thereby shaping MSP outcomes in ways that privilege sector-specific objectives over broader integrative goals, hampering balanced considerations of stakeholder interests (Spijkerboer, 2021). Likewise, in Ireland, the establishment of coordination structures such as the Marine Coordination Group did not fully resolve fragmentation, as its limited authority and sectoral silos continued to hinder integrated decision-making (Lange et al., 2018). These examples underline that institutional attributes cannot be assessed in isolation from their governance context.

To address these challenges, this study adopts an archetype approach (Eisenack, 2012), which seeks to balance generalization with sensitivity to context. Eisenack notes that

“the particular feature of archetype analysis is to understand the dynamics of social-ecological systems in a way as general as possible, but fine-grained enough to account for local particularities.” (Eisenack, 2012, p. 5)

Consequently, this method considers identified patterns as general building blocks rather than universally applicable principles. By focusing on European marine and coastal governance, the analysis maintains a degree of contextual specificity while still enabling transferable insights. Importantly, the identified barriers and enablers should not be interpreted as fixed or binary categories. Instead, they exist along a continuum, where their role may shift depending on how they interact with other institutional attributes and contextual conditions.

Building on this, future research could further explore how different institutional attributes interact with one another, including potential synergies and trade-offs across explanatory factors. This could be advanced by analyzing the co-occurrence of attributes through meta-analytic approaches, identifying clusters of related barriers and uncovering underlying patterns, as suggested by Nielsen et al. (2023). Such analyses may also clarify cross-cutting mechanisms that link barriers and enablers across different explanatory factors. In addition, longitudinal qualitative studies of a given governance arrangement could further trace how these relationships evolve over time, revealing how attributes interact dynamically across policy phases and respond to shifting institutional and political contexts.

5.3 Potential areas of application

The archetypal structure developed through this SLR can be applied in both policymaking and research contexts. Importantly, the framework should be understood as a flexible analytical structure that can be adapted to the specific contextual setting of the analysis. For instance, analyses may focus on a single explanatory factor or selectively consider those attributes most relevant to the identified research or policy question. In academic contexts, the archetype framework is proposed as a tool to guide empirical research, and its applicability has been demonstrated by Sander et al. (in press). In their study, the authors investigated how policy coherence between freshwater and marine policies is operationalized across Europe. While policy incoherences are identified within the EU framework and shown to cascade into national contexts, the authors argue that member states retain considerable discretion during the transposition and implementation of EU directives, allowing them to mitigate some of the coherence challenges originating at the EU level. By applying the three explanatory factors as an analytical lens, the study compares how countries adopt distinct approaches to enhancing coherence at the national level. For example, one country prioritizes a science-based approach by aligning modeling and monitoring systems across freshwater and marine domains, whereas another emphasizes strengthening coordination mechanisms between the respective governmental organizations (Sander et al, in press). In this way, the explanatory factors provide a useful lens for understanding and comparing how coherence challenges arise and how they may be addressed across different governance contexts. The study further demonstrates the value of the archetype framework for analyzing the implementation phase of policymaking, as it captures the diverse institutional, knowledge-related, and participatory dynamics that shape the coherence of policy outcomes in practice. Within the policymaking community, the proposed archetypes can serve as guiding elements, functioning as a structured checklist to support the design and implementation of more coherent marine and coastal policies. In light of ongoing efforts to consolidate and align European marine governance, particularly through the Ocean Pact and the forthcoming Oceans Act, the importance of strengthening policy coherence has been repeatedly emphasized by the EU (European Commission, 2025). Addressing the underlying root causes of (in)coherence requires a structured analytical approach, and the categories presented in this framework can therefore provide a valuable foundation for informing these policy discussions.

6 Conclusions

This systematic review demonstrates that achieving policy coherence in European marine and coastal governance is an urgent structural and institutional priority. As climate pressures intensify and human uses of marine and coastal areas continue to expand, the consequences of fragmented and incoherent governance frameworks are becoming increasingly severe. These frameworks are not well suited to address interconnected challenges and often result in ineffective or even counterproductive policy responses.

Drawing on a systematic review of European marine and coastal governance literature, this study identifies persistent institutional barriers that continue to undermine coherent policy outcomes. Key barriers include unclear mandates and roles, insufficient coordination across governance levels and sectors, and fragmented knowledge systems. At the same time, the review identifies important institutional enablers and translates these into actionable policy recommendations. Strengthening coordination across organizational boundaries, developing shared strategies and management processes, investing in harmonized data and knowledge systems, and ensuring inclusive stakeholder involvement emerge as essential conditions for improving policy coherence. The findings further demonstrate that policy coherence challenges are systemic in nature, spanning vertical, horizontal, and geographical dimensions. The persistent divide between land and sea governance, together with the complexity of transboundary coordination, highlights the scale and urgency with which these issues must be addressed.

The archetype framework developed in this study builds on and advances an earlier prototype and provides a structured, multi-tiered and empirically grounded framework to diagnose and address these challenges. By identifying recurring patterns of barriers and enablers, it offers policymakers and researchers a practical approach to move beyond general calls for integration toward targeted and context sensitive interventions. Overall, the typology and findings presented here advance conceptual and thematic understanding of the drivers of policy coherence and provide a foundation for more effective governance of European marine and coastal systems.

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The author(s) declared that Generative AI was used in the creation of this manuscript. Generative AI was used in the coding of the articles, as states in the methods section. The results have been reviewed and verified by the author(s).

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Footnotes

Edited by: Daniel Depellegrin, Environmental Hydraulics Institute (IHCantabria), Spain

Reviewed by: Liz Skilton, University of Louisiana at Lafayette, United States

Syarifah Aini Dalimunthe, National Research and Innovation Agency (BRIN), Indonesia

Statements

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Funding

The author(s) declared that financial support was received for this work and/or its publication. The research leading to this work was conducted in the framework of two research projects. BlueGreen Governance (2024-2027; co-funded by the European Union under the Horizon Europe Programme; Project number 101086091 and by UK Research and Innovation (UKRI) under the UK government's Horizon Europe funding guarantee; Project number 10108603). CrossGov (2022-2025) is funded by the European Union under the Grant Agreement Grant agreement ID 101060958. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the EU or UKRI. Neither the EU nor UKRI can be held responsible for them.

Data availability

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

ST: Conceptualization, Formal analysis, Methodology, Writing – original draft, Writing – review & editing. EJ: Conceptualization, Formal analysis, Methodology, Writing – original draft, Writing – review & editing. FP: Conceptualization, Formal analysis, Methodology, Writing – original draft, Writing – review & editing.

Acknowledgements

The authors would like to express their gratitude to their colleagues in the BlueGreen Governance project (Gianluca Ferraro; Ellen Fobé, Cécile Blatrix, Jean-Marc Douguet, Katherine Salès, Linh Dinh, Raoul Beunen, Mafaziya Nijamdeen, Aase Jeannette Kvanneid) for their support and collaboration. Special thanks to Holly Thompson and Daisy Lupa, for their dedicated assistance with data extraction during the systematic review. The authors also extend their appreciation to Maaike Knol-Kauffman and Jonas Giæver as well as the reviewers for their insightful comments and suggestions.

References

  1. Amani Fard F., Riekkinen K., Pellikka H. (2023). Evaluating the effectiveness of land-use policies in preventing the risk of coastal flooding: coastal regions of Helsinki and Espoo. Land 12: 1631. doi: doi:10.3390/land12081631
  2. Ambinakudige S. (2020). Future coastal population and ecosystem exposure to sea level rise along the European coastline. Euro. J. Environ. Earth Sci. 1:Article 5. doi: doi:10.24018/ejgeo.2020.1.5.80
  3. Ansong J. O., Heather R., McElduff L. (2022). Institutional barriers to integrated marine spatial planning on the island of Ireland. Marine Policy 141: 105082. doi: doi:10.1016/j.marpol.2022.105082
  4. Antonson H., Isaksson K., Storbjörk S., Hjerpe M. (2016). Negotiating climate change responses: Regional and local perspectives on transport and coastal zone planning in South Sweden. Land Use Policy 52, 297 – 305. doi: doi:10.1016/j.landusepol.2015.12.033
  5. Apolonia M., Fofack-Garcia R., Noble D. R., Hodges J., Correia da Fonseca F. X. (2021). Legal and political barriers and enablers to the deployment of marine renewable energy. Energies 14: 4896. doi: doi:10.3390/en14164896
  6. Ballinger R. (2015). “On the edge: coastal governance and risk,” In: Risk Governance: The Articulation of Hazard, Politics and Ecology (Dordrecht: Springer), 373 – 394. doi: doi:10.1007/978-94-017-9328-5_20
  7. Barbanti A., Giannopoulos N., Maskina O., Ramieri E., Ramirez-Monsalve P., Ranalli M.. (2023). Guidance Document for Science-Policy-Society Interfaces Analysis in CrossGov Research. CrossGov-project deliverable. Available online at: (Accessed June 17, 2026).
  8. Bingham A. J. (2023). From data management to actionable findings: a five-phase process of qualitative data analysis. Int. J. Qualitat. Methods 22: 16094069231183620. doi: doi:10.1177/16094069231183620
  9. Black J. E., Kopke K., O'Mahony C. (2019). A trip upstream to mitigate marine plastic pollution – a perspective focused on the MSFD and WFD. Front. Mar. Sci. 6: 689. doi: doi:10.3389/fmars.2019.00689
  10. Blenckner T., Kannen A., Barausse A., Fischer C., Heymans J. J., Luisetti T.. (2015). Past and future challenges in managing European seas. Ecol. Soc. 20: 140. doi: doi:10.5751/ES-07246-200140
  11. Bocci M., Markovic M., Mlakar A., Stancheva M., Borg M., Carella F.. (2024). Land-sea-interactions in MSP and ICZM: a regional perspective from the Mediterranean and the Black Sea. Marine Policy 159: 105924. doi: doi:10.1016/j.marpol.2023.105924
  12. Bolaños F., Salatino A., Osborne F., Motta E. (2024). Artificial intelligence for literature reviews: opportunities and challenges. Artif. Intell. Rev. 57: 259. doi: doi:10.1007/s10462-024-10902-3
  13. Boteler B., Passarello C., Platjouw F. M., Friedrich L., Trubbach S., Soininen N.. (2024). EU and International Policy Landscape. CrossGov project deliverable. Available online at: (Accessed June 17, 2026).
  14. Brennan J., Fitzsimmons C., Gray T., Raggatt L. (2014). EU marine strategy framework directive (MSFD) and marine spatial planning (MSP): which is the more dominant and practicable contributor to maritime policy in the UK? Marine Policy 43, 359 – 366. doi: doi:10.1016/j.marpol.2013.07.011
  15. Brown K., Naylor L. A., Quinn T. (2017). Making space for proactive adaptation of rapidly changing coasts: a windows of opportunity approach. Sustainability (Switzerland) 9: 1408. doi: doi:10.3390/su9081408
  16. Bruckmeier K. (2014). Problems of cross-scale coastal management in Scandinavia. Reg. Environ. Change 14, 2151 – 2160. doi: doi:10.1007/s10113-012-0378-2
  17. Buono F., Soriani S., Camuffo M., Tonino M., Bordin A. (2015). The difficult road to integrated coastal zone management implementation in Italy: evidences from the Italian North Adriatic regions. Ocean Coastal Manag. 114, 21 – 31. doi: doi:10.1016/j.ocecoaman.2015.06.001
  18. Cantasano N., Pellicone G., Ietto F. (2017). Integrated coastal zone management in Italy: a gap between science and policy. J. Coastal Conserv. 21, 317 – 325. doi: doi:10.1007/s11852-016-0479-z
  19. Cavallo M., Elliott M., Touza J., Quintino V. (2017). Benefits and impediments for the integrated and coordinated management of European seas. Marine Policy 86, 206 – 213. doi: doi:10.1016/j.marpol.2017.09.035
  20. Cinnirella S., Sardà R., de Vivero J. L. S., Brennan R., Barausse A., Icely J.. (2014). Steps toward a shared governance response for achieving good environmental status in the Mediterranean Sea. Ecol. Soc. 19: 447. doi: doi:10.5751/ES-07065-190447
  21. de Koning S., Steins N., van Hoof L. (2021). Balancing sustainability transitions through state-led participatory processes: the case of the Dutch North Sea Agreement. Sustainability 13: 2297. doi: doi:10.3390/su13042297
  22. Den Uyl R. M., Russel D. J. (2018). Climate adaptation in fragmented governance settings: the consequences of reform in public administration. Env. Polit. 27, 341 – 361. doi: doi:10.1080/09644016.2017.1386341
  23. Eisenack K. (2012). “Archetypes of adaptation to climate change,” In: Human-Nature Interactions in the Anthropocene. Routledge Studies in Environment, Culture, and Society, eds. M. Glaser, G. Krause, B. M. W. Ratter, and M. Welp. (New York, NY: Routledge), 107 – 122.
  24. Elliott M., Borja Á., Cormier R. (2023). Managing marine resources sustainably – ecological, societal and governance connectivity, coherence and equivalence in complex marine transboundary regions. Ocean Coastal Manag. 245: 106875. doi: doi:10.1016/j.ocecoaman.2023.106875
  25. Elliott M., Boyes S.J., Barnard S., Borja Á. (2018). Using best expert judgement to harmonise marine environmental status assessment and maritime spatial planning. Mar. Pollut. Bull. 133, 367 – 377. doi: doi:10.1016/j.marpolbul.2018.05.029
  26. European Commission (2023). Communication from the Commission to the European Parliament, the European Council, the Council, the European Economic and Social Committee and the Committee of the Regions: The European Green Deal COM/2019/640 final. Available online at (Accessed June 17, 2026).
  27. European Commission. (2025). Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions: The European Ocean Pact (COM(2025) 281 final). Available online at: (Accessed June 17, 2026).
  28. European Environment Agency. (2019). Marine Messages II: Navigating the Course Towards Clean, Healthy and Productive Seas through Implementation of an Ecosystem-Based Approach. Publications Office. Available online at: (Accessed June 17, 2026).
  29. Fanning L., Mahon R., McConney P., Angulo J., Burrows F., Chakalall B.. (2007). A large marine ecosystem governance framework. Marine Policy 31, 434 – 443. doi: doi:10.1016/j.marpol.2007.01.003
  30. Ferreira M. A., Johnson D., Silva C. P. D. (2014). How can Portugal effectively integrate ICM and MSP? J. Coast. Res. 70, 496 – 501. doi: doi:10.2112/SI70-085.1
  31. Fidélis T., Carvalho T. (2015). Estuary planning and management: the case of Vouga Estuary (Ria de Aveiro), Portugal. J. Environ. Plan. Manag. 58, 1173 – 1195. doi: doi:10.1080/09640568.2014.918874
  32. Fobé E., Blatrix C., Douguet J.-M., Salès K., Dinh L., Trubbach S.. (2024). Policy Report on Institutional Barriers and Enablers. BlueGreen Governance project deliverable. doi: doi:10.5281/zenodo.15274901
  33. Fraschetti S., Pipitone C., Mazaris A. D., Rilov G., Badalamenti F., Bevilacqua S.. (2018). Light and shade in marine conservation across European and contiguous seas. Front. Marine Sci. 5: 420. doi: doi:10.3389/fmars.2018.00420
  34. Frazão Santos C., Orbach M., Calado H., Andrade F. (2015). Challenges in implementing sustainable marine spatial planning: the new Portuguese legal framework case. Marine Policy 61, 196 – 206. doi: doi:10.1016/j.marpol.2015.08.010
  35. Galdies C., Bellerby R., Canu D., Chen W., Garcia-Luque E., Gašparović B.. (2020). European policies and legislation targeting ocean acidification in European waters—current state. Marine Policy 118: 103947. doi: doi:10.1016/j.marpol.2020.103947
  36. Gee K., Arndt P., Dahmen M., Geitel N.-K., Hunke A., Käppeler B.. (2024). A new maritime spatial plan for the German EEZ: navigating multiple aspirations and spatial developments. Marine Policy 161: 106006. doi: doi:10.1016/j.marpol.2024.106006
  37. Gómez-Ballesteros M., Cervera-Núñez C., Campillos-Llanos M., Quintela A., Sousa L., Marques M.. (2021). Transboundary cooperation and mechanisms for maritime spatial planning implementation. SIMNORAT project. Marine Policy 127: 104434. doi: doi:10.1016/j.marpol.2021.104434
  38. Göransson G., Van Well L., Bendz D., Danielsson P., Hedfors J. (2021). Territorial governance of managed retreat in Sweden: addressing challenges. J. Environ. Stud. Sci. 11, 376 – 391. doi: doi:10.1007/s13412-021-00696-z
  39. Hammer M. (2016). “The ecosystem management approach: implications for marine governance,” In: Governing Europe's Marine Environment: Europeanization of Regional Seas or Regionalization of EU Policies? ed. K. Kern (Routledge: London) 75–92. doi: doi:10.1177/1461452915619328a
  40. Hassler B., Gee K., Gilek M., Luttmann A., Morf A., Saunders F.. (2018). Collective action and agency in Baltic Sea marine spatial planning: transnational policy coordination in the promotion of regional coherence. Marine Policy 92, 138 – 147. doi: doi:10.1016/j.marpol.2018.03.002
  41. Jouanneau C., Raakjær J. (2014). ‘The Hare and the Tortoise': lessons from Baltic Sea and Mediterranean Sea governance. Marine Policy 50, 331 – 338. doi: doi:10.1016/j.marpol.2014.03.006
  42. Karlsson M. (2019). Closing marine governance gaps? Sweden's marine spatial planning, the ecosystem approach to management and stakeholders' views. Ocean Coast. Manag. 179: 104833. doi: doi:10.1016/j.ocecoaman.2019.104833
  43. Karrasch L., Siebenhüner B., Seibert S. L. (2023). Groundwater salinization in northwestern Germany: a case of anticipatory governance in the field of climate adaptation? Earth System Govern. 17: 100179. doi: doi:10.1016/j.esg.2023.100179
  44. Kelly C., Ellis G., Flannery W. (2018). “Exploring transition pathways as an alternative approach for the integrated management of Irish estuaries and coasts,” In: Towards Coastal Resilience and Sustainability, eds. C. P. Heidkamp, and J. Morrissey (London: Routledge), 57 – 78. doi: doi:10.4324/9780429463723-4
  45. Kelly C., Ellis G., Flannery W. (2019). Unravelling persistent problems to transformative marine governance. Front. Marine Sci. 6: 213. doi: doi:10.3389/fmars.2019.00213
  46. Kull M., Moodie J. R., Thomas H. L., Mendez-Roldan S., Giacometti A., Morf A.. (2021). International good practices for facilitating transboundary collaboration in Marine Spatial Planning. Marine Policy 132: 5. doi: doi:10.1016/j.marpol.2019.03.005
  47. Kyrönviita J., Puharinen S.-T., Soininen N., Platjouw F. M., Passarello C. (2024). Horizontal coherence in EU law and policy: analysing, explaining and improving the horizontal coherence of EU policy design [CrossGov Deliverable]. CrossGov project – Coherent and Cross-compliant Ocean Governance for Delivering the EU Green Deal for European Seas. Available online at: (Accessed June 17, 2026).
  48. La Jeunesse I., Cirelli C., Sellami H., Aubin D., Deidda R., Baghdadi N. (2015). Is the governance of the Thau coastal lagoon ready to face climate change impacts? Ocean Coast. Manag. 118, 234 – 246. doi: doi:10.1016/j.ocecoaman.2015.05.014
  49. Lange M., O'Hagan A. M., Devoy R. R. N., Le Tissier M., Cummins V. (2018). Governance barriers to sustainable energy transitions – assessing Ireland's capacity towards marine energy futures. Energy Policy 113, 623 – 632. doi: doi:10.1016/j.enpol.2017.11.020
  50. Lillebø A. I., Teixeira H., Martínez-López J., Genua-Olmedo A., Marhubi A., Delacámara G.. (2020). “Mitigating negative unintended impacts on biodiversity in the Natura 2000 Vouga Estuary (Ria de Aveiro, Portugal),” In: Ecosystem-Based Management, Ecosystem Services and Aquatic Biodiversity: Theory, Tools and Applications, eds. T. O'Higgins, M. Lago, and T. DeWitt (Cham: Springer), 461 – 497. doi: doi:10.1007/978-3-030-45843-0_24
  51. Moodie J. R., Sielker F. (2022). Transboundary marine spatial planning in European sea basins: experimenting with collaborative planning and governance. Plan. Pract. Res. 37, 317 – 332. doi: doi:10.1080/02697459.2021.2015855
  52. Morf A., Moodie J., Cedergren E., Eliasen S. Q., Gee K., Kull M.. (2022). Challenges and enablers to integrate land-sea-interactions in cross-border marine and coastal planning: experiences from the Pan Baltic Scope collaboration. Plan. Pract. Res. 37, 333 – 354. doi: doi:10.1080/02697459.2022.2074112
  53. Morf A., Sandström A., Jagers S. C. (2017). Balancing sustainability in two pioneering marine national parks in Scandinavia. Ocean Coast. Manag. 139, 51 – 63. doi: doi:10.1016/j.ocecoaman.2017.01.002
  54. Muccitelli S., Pozzi C., D'Ascanio R., Magaudda S. (2023). Environmental contract: a collaborative tool to improve the multilevel governance of European MPAs. Sustainability (Switzerland) 15: 8174. doi: doi:10.3390/su15108174
  55. Nielsen K. N., Knol-Kauffman M., Crowley-Aksamit C., Flannery W. (2023). Review of Institutional Barriers Literature. PermaGov project deliverable. Available online at: (Accessed June 17, 2026).
  56. Nilsson M., Zamparutti T., Petersen J. E., Nykvist B., Rudberg P., McGuinn J. (2012). Understanding policy coherence: analytical framework and examples of sector–environment policy interactions in the EU. Environ. Policy Govern. 22, 395 – 423. doi: doi:10.1002/eet.1589
  57. Oberlack C. (2017). Diagnosing institutional barriers and opportunities for adaptation to climate change. Mitig. Adapt. Strateg. Glob. Change. 22: 805. doi: doi:10.1007/s11027-015-9699-z
  58. Oberlack C., Sietz D., Bürgi Bonanomi E., de Bremond A., Dell'Angelo J., Eisenack K.. (2019). Archetype analysis in sustainability research: meanings, motivations, and evidence-based policy making. Ecol. Soc. 24: 226. doi: doi:10.5751/ES-10747-240226
  59. O'Hagan A. M., Paterson S., Tissier M. L. (2020). Addressing the tangled web of governance mechanisms for land-sea interactions: assessing implementation challenges across scales. Marine Policy 112: 103715. doi: doi:10.1016/j.marpol.2019.103715
  60. Oliveira S., Moura D., Boski T. (2020). The evolution of the European framework for coastal management, linked to the new environmental challenges: the Portuguese case. J. Integr. Coast. Zone Manag. 20, 27 – 48. doi: doi:10.5894/rgci-n213
  61. Österblom H., Hentati-Sundberg J., Nevonen N., Veem K. (2017). Tinkering with a tanker—Slow evolution of a Swedish ecosystem approach. ICES J. Marine Sci. 74, 443 – 452. doi: doi:10.1093/icesjms/fsw232
  62. Page M. J., McKenzie J. E., Bossuyt P. M., Boutron I., Hoffmann T. C., Mulrow C. D.. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 372:bmj.n71. doi: doi:10.1136/bmj.n71
  63. Pecceu E., Hostens K., Maes F. (2016). Governance analysis of MPAs in the Belgian part of the North Sea. Marine Policy 71, 265 – 274. doi: doi:10.1016/j.marpol.2015.12.017
  64. Pendleton A., Carr L. M. (2023). Conflicts between traditional and modern governance structures in Irish seaweed harvesting. Local Environ. 28, 47 – 64. doi: doi:10.1080/13549839.2022.2119376
  65. Pinarbasi K., Galparsoro I., Alloncle N., Quemmerais F., Borja A. (2020). Key issues for a transboundary and ecosystem-based maritime spatial planning in the Bay of Biscay. Marine Policy 120: 104131. doi: doi:10.1016/j.marpol.2020.104131
  66. Piwowarczyk J., Wróbel B. (2016). Determinants of legitimate governance of marine Natura 2000 sites in a post-transition European Union country: a case study of Puck Bay, Poland. Marine Policy 71, 310 – 317. doi: doi:10.1016/j.marpol.2016.01.019
  67. Platjouw F. M., Friedrich L., Trubbach S., Sander G., Boteler B., Passarello C.. (2024). The CrossGov Policy Coherence Evaluation Framework – A Methodological Framework to Assess Policy Coherence and Cross-Compliance with the European Green Deal. CrossGov project deliverable 1.3. Available online at: (Accessed June 17, 2026).
  68. Platjouw F. M., Trubbach S., Friedrich L., Sander G., Boteler B., Passarello C.. (2025). Handbook on Policy Coherence – An Easy Guide to Assess and Understand Policy Coherence. CrossGov project deliverable 4.2. Available online at:. Digital Handbook available online at: (Accessed June 17, 2026).
  69. Pröbstl F., Paulsch A., Zedda L., Nöske N., Santos E., Zinngrebe Y. (2023). Biodiversity policy integration in five policy sectors in Germany: how can we transform governance to make implementation work? Earth System Govern. 16: 100175. doi: doi:10.1016/j.esg.2023.100175
  70. Raakjaer J., van Leeuwen J., van Tatenhove J., Hadjimichael M. (2014). Ecosystem-based marine management in European regional seas calls for nested governance structures and coordination—a policy brief. Marine Policy 50, 373 – 381. doi: doi:10.1016/j.marpol.2014.03.007
  71. Ramieri E., Bocci M., Brigolin D., Campostrini P., Carella F., Fadini A.. (2024). Designing and implementing a multi-scalar approach to maritime spatial planning: the case study of Italy. Marine Policy 159: 105911. doi: doi:10.1016/j.marpol.2023.105911
  72. Ramírez-Monsalve P., Raakjær J., Nielsen K. N., Laksá U., Danielsen R., Degnbol D.. (2016a). Institutional challenges for policy-making and fisheries advice to move to a full EAFM approach within the current governance structures for marine policies. Marine Policy 69, 1 – 12. doi: doi:10.1016/j.marpol.2016.03.016
  73. Ramírez-Monsalve P., Raakjær J., Nielsen K. N., Santiago J. L., Ballesteros M., Laksá U.. (2016b). Ecosystem approach to fisheries management (EAFM) in the EU – current science-policy-society interfaces and emerging requirements. Marine Policy 66, 83 – 92. doi: doi:10.1016/j.marpol.2015.12.030
  74. Ribeiro M. C. (2017). “The protection of biodiversity in the framework of the common fisheries policy: what room for the shared competence?” In: The Future of the Law of the Sea: Bridging Gaps Between National, Individual and Common Interests, ed. G. Andreone (Cham: Springer) 65–86. doi: doi:10.1007/978-3-319-51274-7_4
  75. Riemann B., Carstensen J., Dahl K., Fossing H., Hansen J. W., Jakobsen H. H.. (2016). Recovery of Danish coastal ecosystems after reductions in nutrient loading: a holistic ecosystem approach. Estuaries Coasts 39, 82 – 97. doi: doi:10.1007/s12237-015-9980-0
  76. Righettini M., Lizzi R. (2021). How scholars break down “policy coherence”: the impact of sustainable development global agendas on academic literature. Environ. Policy Govern. 32: 1966. doi: doi:10.1002/eet.1966
  77. Saldana J. (2021). The Coding Manual for Qualitative Researchers.
  78. Sander G. Trubbach S. Puharinen S.-T Linjama T. Bastide L. Soininen N. (in press). Achieving good quality of coastal waters: The role of policy coherence across the land-sea interface. Ocean Development International Law..
  79. Sandersen H. T., Kvalvik I. (2014). Sustainable governance of Norwegian aquaculture and the administrative reform: dilemmas and challenges. Coast. Manag. 42, 447 – 463. doi: doi:10.1080/08920753.2014.942028
  80. Satta A., Giambastiani B. M. S., Addis D., Mannino I., Sanguineti I., Ulazzi E. (2016). “Towards the implementation of integrated coastal zone management in the Mediterranean: the CAMP Italy project,” In: Coastal Zones: Management, Assessment and Current Challenges, ed. G. Mona (Hauppauge: Nova Science Publishers) 1 – 26.
  81. Sayers P., Gersonius B., den Heijer F., Klerk W. J., Fröhle P., Jordan P.. (2021). Towards adaptive asset management in flood risk management: a policy framework. Water Security 12: 100085. doi: doi:10.1016/j.wasec.2021.100085
  82. Schmidt D., Pieraccini M., Evans L. (2022). Marine protected areas in the context of climate change: key challenges for coastal social-ecological systems. Philos. Transac. Royal Soc. B Biol. Sci. 377: 131. doi: doi:10.1098/rstb.2021.0131
  83. Solomun M., Ferreira C., Zupanc V., Ristic R., Drobnjak A., Kalantari Z. (2022). Flood legislation and land policy framework of EU and non-EU countries in Southern Europe. Wiley Interdiscipl. Rev. Water 9: 1566. doi: doi:10.1002/wat2.1566
  84. Soma K., van Tatenhove J., van Leeuwen J. (2015). Marine governance in a European context: regionalization, integration and cooperation for ecosystem-based management. Ocean Coast. Manag. 117, 4 – 13. doi: doi:10.1016/j.ocecoaman.2015.03.010
  85. Spijkerboer R. C. (2021). The institutional dimension of integration in marine spatial planning: the case of the Dutch North Sea dialogues and agreement. Front. Mar. Sci. 8: 2982. doi: doi:10.3389/fmars.2021.712982
  86. Steel P., Fariborzi H., Hendijani R. (2023). An Application of Modern Literature Review Methodology: Finding Needles in Ever-Growing Haystacks. doi: doi:10.4135/9781529667417
  87. Steins N. A., Veraart J. A., Klostermann J. E. M., Poelman M. (2021). Combining offshore wind farms, nature conservation and seafood: lessons from a Dutch community of practice. Marine Policy 126: 104371. doi: doi:10.1016/j.marpol.2020.104371
  88. Stori F. T., O'Hagan A. M., O'Mahony C. (2023). “National integrated coastal zone management frameworks need to adapt,” In: Climate Change Management: Vol. Part F 5, eds. W. Leal Filho, M. Kovaleva, F. Alves, and I. R. Abubakar (Cham: Springer), 135 – 150. doi: doi:10.1007/978-3-031-28728-2_7
  89. Tchinda A., Talbot D. (2023). Barriers and enablers of environmental policy coherence: a systematic review. Environmental Policy and Governance. 34, 77 – 92.
  90. Therville C., Brady U., Barreteau O., Bousquet F., Mathevet R., Dhenain S.. (2019). Challenges for local adaptation when governance scales overlap: evidence from languedoc, France. Reg. Environ. Change 19, 1865 – 1877. doi: doi:10.1007/s10113-018-1427-2
  91. Tocco C. L., Frehen L., Forse A., Ferraro G., Failler P. (2024). Land-sea interactions in European marine governance: state of the art, challenges and recommendations. Environ. Sci. Policy 158: 103763. doi: doi:10.1016/j.envsci.2024.103763
  92. Tynkkynen N., Schönach P., Pihlajamäki M., Nechiporuk D. (2014). The governance of the mitigation of the Baltic Sea eutrophication: exploring the challenges of the formal governing system. Ambio 43, 105 – 114. doi: doi:10.1007/s13280-013-0481-8
  93. Vaidianu N., Tatui F., Ristea M., Stanica A. (2020). Managing coastal protection through multi-scale governance structures in Romania. Marine Policy 112: 103567. doi: doi:10.1016/j.marpol.2019.103567
  94. van der Molen F., Puente-Rodríguez D., Swart J. A. A., van der Windt H. J. (2015). The coproduction of knowledge and policy in coastal governance: integrating mussel fisheries and nature restoration. Ocean Coast. Manag. 106, 49 – 60. doi: doi:10.1016/j.ocecoaman.2015.01.012
  95. van Dijk S. H. B., Brusse-Keizer M. G. J., Bucsán C. C., Palen J. van der, Doggen, C. J. M., Lenferink A. (2023). Artificial intelligence in systematic reviews: promising when appropriately used. BMJ Open 13: 2254. doi: doi:10.1136/bmjopen-2023-072254
  96. van Hoof L., Kraus G. (2017). Is there a need for a new governance model for regionalised fisheries management? Implications for science and advice. Marine Policy 84, 152 – 155. doi: doi:10.1016/j.marpol.2017.07.015
  97. van Tatenhove J. P. M. (2017). Transboundary marine spatial planning: a reflexive marine governance experiment? J. Environ. Policy Plan. 19, 783 – 794. doi: doi:10.1080/1523908X.2017.1292120
  98. Wagner G., Lukyanenko R., Paré G. (2022). Artificial intelligence and the conduct of literature reviews. J. Inform. Technol. 37, 209 – 226. doi: doi:10.1177/02683962211048201
  99. Walsh C. (2019). Integration of expertise or collaborative practice?: coastal management and climate adaptation at the Wadden Sea. Ocean Coast. Manag. 167, 78 – 86. doi: doi:10.1016/j.ocecoaman.2018.10.004
  100. Wamsler C., Luederitz C., Brink E. (2014). Local levers for change: mainstreaming ecosystem-based adaptation into municipal planning to foster sustainability transitions. Global Environ. Change 29, 189 – 201. doi: doi:10.1016/j.gloenvcha.2014.09.008
  101. Westholm A. (2022). Divided environments: scalar challenges in Sweden's marine and coastal water planning,” In: Laws of the Sea: Interdisciplinary Currents, ed. I. Braverman (London: Routledge), 241−258. doi: doi:10.4324/9781003205173-12

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Trubbach, S., et al. (2026). Archetypical patterns of barriers and enablers to policy coherence in European marine and coastal governance: a systematic review. Frontiers in Ocean Sustainability, Volume 4. https://doi.org/
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*Correspondence: Saskia Trubbach

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