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Enregistrement W6908214524 · doi:10.25607/obp-906

Best Practices for Fisheries Management.

2009· other· en· W6908214524 sur OpenAlexaboutno aff

Notice bibliographique

RevueIOC of UNESCO (Intergovernmental Oceanographic Commission) · 2009
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBest practiceSustainabilityFisheries managementContext (archaeology)Order (exchange)Fisheries lawEuropean commissionResilience (materials science)

Résumé

récupéré en direct d'OpenAlex

There is currently a window of opportunity to influence the Common Fisheries Policy (CFP) in Europe, as the European Commission will initiate a reform process, beginning in April 2009 with the publication of a Green Paper. The reform will be carried out during the coming years and the revised CFP will be ready in 2012. There is substantial room for improvement to ensure long-term sustainability in fisheries management in the current CFP. Baltic Sea 20201 and Stockholm Resilience Centre2 have provided a team to analyse Best Practices in order to identify what measures apply in the European context and specifically the Baltic Sea. The team has been guided by two of the world’s most renowned and experienced experts on fish and fisheries management, Mike Sissenwine and David Symes. Initially, the relevant scientific literature was reviewed, a scientific workshop hosted and a number of in depth interviews with key fisheries stakeholders (scientists, managers, the industry and NGOs) were conducted in order to identify problems with the Common Fisheries Policy as well as best practices in Europe and elsewhere. Based on the scientific exercise the team was recommended to focus on Norway, the US and Canada where extensive visits and dialogue with agencies, governments and stakeholders were carried out and documented. In addition scientific literature, national and international management publications have been reviewed. It needs to be pointed out that scientific literature is cited, but material from case studies will not be cited. In order to ensure a comprehensive approach and to address as many issues as possible ‘best practices’ has been defined according to three ‘elements’ necessary for fisheries management: A) Best practice in the provision of science, B) Best practice in decision making, and C) Best practice for securing compliance The results from the investigations were presented to European stakeholders to elaborate key recommendations on applying the identified ‘Best practices’ in a European and Baltic Sea context. In addition to the guidance provided by the workshop, issues highlighted in two recent gap analyses of the Common Fisheries Policy (see p.15) provide the problem analysis. When applying ‘best practices’ to the European context, the problems are defined as examples, which create incentives for sustainability. We recognize the historical and contextual nature of fisheries management and that best practice may therefore depend on ecological, economic and social conditions of the fishery or regional sea. The document is structured in four parts: • Background and problem description • Best practices? Key lessons from case studies • Applying the key characteristics of best practices in Europe • Management of the Baltic Sea. It is generally recognized that fisheries management involves a number of potentially conflicting objectives, regarding social, ecological and economic aspects of the fishery. Trade-offs between biological sustainability, economic efficiency and social equity are thus often necessary in the medium term. In order to achieve any long-term goal, there is a need for policy-makers to confront these intermediate trade-offs while being aware of the outcomes of different perspectives/starting points. In this report we do not dwell on tradeoffs. Having investigated some of the most exemplary management systems in the world, it is obvious that there are solutions. Solutions, however, are demanding and they address tradeoffs by way of including all relevant stakeholders. We are attempting to indicate characteristics that are concrete and can contribute to real sustainability for fisheries.However, in order for sustainability to be lasting, transparency and trust have to bring stakeholders together and joint decisions have to be made. As the process of review and reform of the CFP is launched, the question is whether a courageous political vision of future fisheries management in the Baltic can be created and achieve an internationally respected marine policy. Or will the process again stumble over problems of path dependence (where earlier policy decisions exert a constraining influence on future decisions) or institutional inertia, both of which are quite marked in the CFP.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
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 enseignants0,014
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0020,001
Intégrité de la recherche0,0010,000
Charge utile insuffisante (le modèle a refusé de juger)0,0050,000

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 Opus0,030
Tête enseignante GPT0,297
Écart entre enseignants0,267 · 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 tête enseignante, pas un consensus.

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
Publié2009
Routes d'admission1
Résumé présentoui

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