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Enregistrement W7006167341

SMILE - sustainable mariculture in northern Irish lough ecosystems: assessment of carrying capacity for environmentally sustainable shellfish culture in Carlingford Lough, Strangford Lough, Belfast Lough, Larne Lough and Lough Foyle

2007· other· en· W7006167341 sur OpenAlexfundno aff

Notice bibliographique

RevueNERC Open Research Archive (Natural Environment Research Council) · 2007
Typeother
Langueen
DomaineAgricultural and Biological Sciences
ThématiquePlant and Biological Electrophysiology Studies
Établissements canadiensnon disponible
Organismes subventionnairesAgri-Food and Biosciences InstituteQueen's UniversityQueen's University Belfast
Mots-clésMaricultureAquacultureAgricultureCarrying capacitySustainable developmentSustainabilityShellfishContext (archaeology)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The assessment of environmentally sustainable carrying capacity for aquaculture in coastal areas poses a major challenge, given the range of issues that must be taken into account, the interactions between natural and social components, and the coupling between watershed and coastal zone. 
\n
\nIn 2001, The Department of Agriculture and Rural Development published the Shellfish Aquaculture Management Plan for Northern Ireland. The Minister for Agriculture and Rural Development stated at the presentation: “There has been a significant growth in shellfish aquaculture in Northern Ireland over the past few years. It is important that this growth is structured and that the shellfish aquaculture industry develops in a sustainable manner and with minimal environmental impact.” Following this publication, Queen’s University Belfast and the Department for Agriculture and Rural Development (DARD) produced a Phase I study of Carrying Capacity in 2003. 
\n
\nIn 2004, a consortium made up of the Institute of Marine Research – IMAR (Portugal), Plymouth Marine Laboratory – PML (U.K.) and CSIR (South Africa) was awarded a two-year contract for the Sustainable Mariculture in northern Irish Lough Ecosystems (SMILE) project, with a duration of two years, with the aim of “developing dynamic ecosystem level carrying capacity models for the five northern Irish sea loughs. 
\n
\nIn order to provide medium-term guidelines, this work needed to be placed in the context of a set of European legislative instruments in the area of water policy, which include older generation directives such as Habitats, and new and emerging ones such as the Water Framework Directive and the proposed Marine Strategy Directive. 
\nThe SMILE contract was conceived as an application of know-how collected in many R&D projects, but the excellent collaboration with the Agri-Food and Biosciences Institute (AFBI), Queen’s University of Belfast (QUB) and the Loughs Agency, together with the interest and feedback of the Environment and Heritage Service (EHS) and other agencies on the Oversight Committee, provided several avenues for research. In SMILE, carrying capacity assessment can be summed up as a clear practical application of integrated coastal zone management, using water quality criteria, cultivated shellfish production and sustainability of native wild species as environmental metrics. 
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\nThis book provides an overview of the approach taken in SMILE, and presents the key results for the five loughs. Data were drawn from many sources, and collected into databases that form the backbone of the modelling work. Our thanks go to all who provided data and information, and especially to the people on the ground, who watched this work develop and trusted us to get on with it. We are very grateful to Anne Dorbie for her support for this work, and her faith in the team, and to Jason Holt (POL) for Irish Sea boundary conditions. We additionally wish to thank all the producers and growers who helped with growth trials and provided the use of vessels, Tom Cowan, Greg Hood and Roy Griffin from Fisheries Division, Annika Mitchell from QUB and Nuala McQuaid from CMAR. We hope managers and shellfish farmers alike in Northern Ireland will find this and the other SMILE products both useful and profitable. Europe cannot hope to compete on quantity with the emerging shellfish export markets, the added value which is required to provide growth in jobs and profits at home must come from superior product quality, branding and environmental sustainability.

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)0,012
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies, Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,340
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0120,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,002
Communication savante0,0010,001
Science ouverte0,0030,004
Intégrité de la recherche0,0010,005
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,076
Tête enseignante GPT0,315
Écart entre enseignants0,240 · 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
GenreEmpirique

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

En bref

Citations2
Publié2007
Routes d'admission1
Résumé présentoui

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