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Enregistrement W6959957789 · doi:10.11583/dtu.24199137.v1

SEAwise report on requirements for fisheries governance to be effective

2023· other· en· W6959957789 sur OpenAlexaboutno aff

Notice bibliographique

RevueFigshare · 2023
Typeother
Langueen
DomaineMedicine
ThématiqueMedicinal Plant Studies
Établissements canadiensnon disponible
Organismes subventionnairesEuropean Commission
Mots-clésFisheries managementCorporate governanceWork (physics)Fisheries lawCommissionEuropean commissionEcosystem approachEcosystem-based managementPlan (archaeology)

Résumé

récupéré en direct d'OpenAlex

The SEAwise project works to deliver a fully operational tool that will allow fishers, managers, and policy makers to easily apply Ecosystem Based Fisheries Management (EBFM) in their fisheries. This SEAwise report discusses the concept of governance, how to understand ‘effective’ governance, and a research plan for further studies of the effectiveness of and potential for improving governance at the regional and sub-regional level in the SEAwise regions (Baltic Sea, North Sea, Western Waters, and the Mediterranean Sea). The theoretical insights from the first two main parts inform and are merged into the research plan, forming the last part of the report. The work is based on the recognition that fisheries management in Europe is still struggling to deliver on its objectives relating to ecology, economy, and social considerations although improvements have been made over the last decades. On top of this, marine biodiversity and ecosystem integrity can be identified as pressing challenges, while climate-change presents renewed uncertainties and risks.Improved governance, appropriately designed for Ecosystem Based Fisheries Management (EBFM), is key to improving the system performance towards the societal objectives. Lack of appropriate measures towards cooperation between the EU, national, and regional levels has led to uncoordinated decision-making processes and prevented coherent management through the implementation and adoption of EU legislation, leading to lower than desired performance both of fisheries and environmental policies. Referring specifically to the involvement of stakeholders, the European Commission stresses the importance of transparency, cooperation, outreach, information, and inclusiveness in developing and implementing measures to ensure that all stakeholders, not least fishers, have a say in the management process, and that their needs and concerns are considered (European Commission, 2023a). Improvement of what can broadly be defined as ‘governance’ is, thus, among the pathways that the European Commission has identified for improvements in the area.In SEAwise, we understand governance as a social process, mediated by a variety of social actors: governments, regional authorities, private industry, and civil society. As such, governance is “the whole of public as well as private interactions taken to solve societal problems and create societal opportunities. It includes the formulation and application of principles guiding those interactions and care for institutions that enable them” (Kooiman & Bavinck, 2005, p. 17). Following this, effective governance requires that this constellation of actors is able to speak to each other, coordinate activities, be included in decision-making processes, and work together to define, frame and understand problems, and ultimately, come to solutions. It is, consequently, the effectiveness of the governance ‘set-up’ for such interactions that is studied under Task 2.4. The outputs of this social process in the shape of policy interventions and management measures, affecting e.g., fisheries practices, are typically evaluated through indicators for performance vis-à-vis ecology, economy, and social aspects. However, for governance, a fourth set of attributes and indicators has to come into play.In responding to this, the evaluation of the effectiveness of fisheries governance in the EU is informed by two sources: i) the approach taken by the Canadian Fisheries Research Network (CFRN) (reported in Stephenson et al. 2017a, 2017b, 2018), which constitutes a framework for comprehensively evaluating fisheries and includes potential performance indicators selected from a comprehensive review of the literature (comparing a wide variety of existing frameworks); and ii) the Aquaculture Governance Indicators (AGIs) framework (Toonen at al. 2021), which not only provides a comprehensive governance framework but operationalizes it via scoring of specific indicators and criteria across the core components of governance.The CFRN framework operates with three overall institutional (or governance) objectives: a) legal objectives, b) good governance structure, and c) effective decision-making processes, which are then further decomposed into attributes of these objectives. As an example, attributes under ‘effective decision-making processes’, include (among others) concerns around participation, transparency, structuredness, and integration. The CFRN framework goes on to suggest candidate indicators for these attributes. The CFRN framework are supplemented with insights from the AGIs framework, which serves to provider further insight in how to go from specific indicators and to criteria that these can be measured according to.In the final section, a plan for further work under Task 2.4 is outlined. The plan involves focussing on both the overall regional governance arrangements in the Baltic Sea, North Sea, Western Waters and the Mediterranean Sea, and in-depth studies of sub-regional cases of fisheries governance in the same regions. The analysis of the cases will result in recommendations on how the effectiveness of governance could be improved.Using the governance elements outline in the first section of the deliverable as a lens to approach the research undertaken under Task 2.4, a two-pronged research plan allowing comprehensive understanding of the general nature and quality (i.e., how effective) of governance arrangements is outlined in the final section. The first prong is through the implementation of an expert elicitation survey, which is comprised of specific governance-related questions that is sent to the diverse range of governance actors across sectors (academia/research, civil society, government) for each of the SEAwise regional seas (at regional level). The second prong consists of a selection of in-depth sub-regional case studies informed by SEAwise partners based on their experiences and existing knowledge while also leveraging their research network to inform the details of the case study through for instance interviews.The outlined research plan is designed to deal with multi-level dynamics of fisheries governance (level of the regional seas and sub-regional level) and can accommodate the study of ‘socially acceptable’ management measures, and how social acceptance of management measures might be increased by considering increased use of self-governance (or other improvements to the governance arrangement studied).More information about the SEAwise project can be found at https://seawiseproject.org/

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,011
score de la tête « metaresearch » (Gemma)0,017
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,104
Score d'incertitude au seuil0,206

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0110,017
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,002
Études des sciences et des technologies0,0020,001
Communication savante0,0060,004
Science ouverte0,0020,005
Intégrité de la recherche0,0060,003
Charge utile insuffisante (le modèle a refusé de juger)0,0260,013

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,101
Tête enseignante GPT0,352
Écart entre enseignants0,251 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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