Theme session B - Spatial management, climate change, and biodiversity
Notice bibliographique
Résumé
ICES Annual Science Conference Book of abstracts for theme session B: Spatial management, climate change and biodiversity Conveners: Catarina Frazão Santos (Portugal), Andrew Kenny (UK), Tundi Agardy (USA) CM 11: Lyme Bay Offshore Mussel Farm – an OECM case study CM 29: Requirements and availability of prey for north-eastern pacific southern resident killer whales CM 35: Fine-scale oceanographic drivers of pelagic biomass around a tropical coral atoll within the Chagos Archipelago Marine Protected Area CM 40: Jointly modelling Atlantic bottlenose dolphin distributions and prey species: evidence of strong ties to drumming prey species and temperature CM 49: Can High-Seas Fisheries Closures Qualify as Other Effective Conservation Areas? CM 54: Deep-sea silver scabbardfish Lepidopus caudatus ecology, biology, and fisheries in the Azores CM 58: Developing a subseasonal forecasting tool to reduce fisheries bycatch in the Northeast US CM 96: Vulnerability Analysis of the Western Baltic Small-Scale Fishery CM 127: An ecological assessment to determine Vulnerability of the Portuguese Fisheries to climate change CM 128: Socio-economic vulnerability assessment of Portuguese fisheries to climate change CM 137: Retrospective forecasting of seasonal spatiotemporal dynamics to identify bycatch hotspots in the yellowtail flounder fishery on the Grand Banks CM 155: Exploration of life cycle spatial distribution and dependencies of the European hake in the Gulf of Lion, Western Mediterranean Sea CM 157: Other Effective Area-Based Conservation Measures and the North-East Atlantic Fisheries Commission - science needs CM 161: Consequences of model assumptions when projecting habitat suitability: a caution of forecasting uncertainties CM 167: Future projections of suitable habitat for vulnerable species and commercial fish around north western Europe CM 171: Taking urgent action to combat climate change and its impacts through marine Area-Based Management Tools CM 198: Improved transdisciplinary science for effective ecosystem-based maritime spatial planning and conservation in European Seas - MarinePlan CM 248: Spatial and temporal variability of meroplankton transport with Atlantic waters to the Arctic during present climate change CM 344: Ocean planning in polar regions: A way forward CM 438: Management for sustainable cephalopod fisheries in Europe: what are the options? CM 348: Distribution of demersal species and their hot spots of aggregation in the Adriatic Sea under climate change CM 367: Environmental effects on assemblages and biological characteristic of demersal community in the Flemish Cap CM 383: Global perceptions on the need for climate-smart marine spatial planning CM 385: Contrasting the VMS vs. AIS coverage on the fishery dynamics of the tropical tuna purse-seine fleet CM 394: Addressing long-term changes in Plankton using ‘pelagic’ and ‘food web’ indicators in the North-East Atlantic CM 396: A dominant effect of species richness on community biomass in a benthic ecosystem CM 409: Benthic community distribution pattern in a Southern Norwegian fjord-coastal system CM 422: Effects of climatic changes and alternative fisheries management measures in the Adriatic Sea CM 427: Climate change affects the distribution of diversity across marine food webs CM 428: Spatiotemporal trends of Chamelea gallina (Linnaeus, 1758) recruitment in the Adriatic Sea using a Bayesian hierarchical modelling approach CM 434: Distributional changes of marine fish in Irish waters CM 449: Evaluation and characterization of fish nursery habitats in French Guiana tropical coastal habitats CM 466: Blue management under a changing climate: Marine spatial planning and the social-ecological perspective CM 472: Size-structure, growth, and mortality rate of the deep-sea silver scabbardfish Lepidopus caudatus in the Azores CM 473: Spatial distribution of the silver scabbardfish Lepidopus caudatus in the Azores archipelago CM 482: Contributing to global marine biodiversity conservation goals with area-based fisheries management: A typology-based evaluation CM 497: Do the management units of Sebastes mentella in the North Atlantic comply with its biological units identified by genome-wide SNP data? CM 510: A systems approach to marine spatial planning CM 526: A two-fold spatiotemporal approach reveals cross-scale environmental drivers across metapopulation subunits CM 562: Evaluating the role of Geomorphology in Modelling Suitable Habitat for Adult Snow Crab (Chionoecetes opilio) in Atlantic Canada Under Future Ocean Climates CM 570: Combining multiple sources of evidence to quantify the spatial and temporal dynamics of seabird prey fish in the North Sea
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,005 | 0,003 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,003 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,244 | 0,067 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».