Recruitment dynamics in a changing environment: integrating spatial and temporal variability into stock assessment and management strategies
Notice bibliographique
Résumé
No abstracts are to be cited without prior reference to the author. Conveners: Fabian Zimmermann (Norway), LaTreese Denson (USA), Katja Enberg (Norway).CM 2017/P:642. Keynote: Recruitment in marine fishes: methods, ideas and insights. Stephan B MunchCM 2017/P:153. Recruitment in the North Sea Autumn spawning herring stock: disentangling fact from fiction in a stock complex and incorporating sub-stock dynamics into the assessment. Richard D.M. Nash, Jennifer A. Devine, Jon Albretsen, Matthias Kloppmann, Cindy van Damme, Niels T. Hintzen, Mark Dickey-CollasCM 2017/P:377. Multi-decadal cod reproductive habitat variability in the Baltic Sea and its impact on reproductive success. Maris Plikshs, Brian R. MacKenzie, Bärbel Müller-KarulisCM 2017/P:173. The need for a process based understanding of environment – recruitment relationships, as illustrated in the sandeel, Ammodytes marinus. P.J. Wright, T. Regnier, F. Gibb, D Eerkes-Medrano, P. BoulcottCM 2017/P:454. Trophic interactions in the Baltic Sea: Clupeid predation on cod early life stages. Viola Neumann, Friedrich W. Köster, Margit Eero, Matthias SchaberCM 2017/P:116. Impacts of a changing ecosystem on Atlantic salmon growth and population dynamic. Felix Massiot-Granier, Tim Sheehan, Kathy Mills CM 2017/P:540. Larval fish directionality before and after metamorphosis and its potential effect on recruitment success. Igal Berenshtein, Claire B Paris, Hezi Gildor, Erick Fredj, Yael Amitai, Omri Lapidot, Moshe KiflawiCM 2017/P:645. Historical recruitment data suggest that gradual environmental changes may induce abrupt and persistent recruitment collapses in fish. Tore JohannessenCM 2017/P:73. Mothers matter: a case study of the influence of environmental factors and density-dependence on body condition and recruitment success of Atka mackerel. Susanne F. McDermott, Morgan A. Arrington, James IanelliCM 2017/P:366. A coupled biophysical modeling and empirical framework to estimate Red Snapper recruitment strength and larval transport rates between the Gulf of Mexico and U.S. South Atlantic. Mandy Karnauskus, S. Barbieri, R. He, T. Kellison, C. Paris, K. Shertzer, T. Switzer, A. VazCM 2017/P:302. Effects of heterogeneous spatial mortality on recruitment of Northeast Arctic cod (Gadus morhua) in the Barents Sea. Nicolas Dupont, Leif Christian Stige, Øystein LangangenCM 2017/P:334. Spatio-temporal variation in cohort strength and juvenile mortality rates of Atlantic cod (Gadus morhua) off Newfoundland and Labrador and the Flemish Cap. Noel Cadigan, Fred TulkCM 2017/P:355. Spillover of sea scallops (Placopecten magellanicus) from a rotationally closed management area in the Mid-Atlantic Bight (USA). Deborah R Hart, Daphne M Munroe, Dale Haidvogel, Joseph Caracappa, John M Klinck, Eileen Hofmann, Burton V Shank, Eric N PowellCM 2017/P:343. Can a Spatially-Explicit Stock Assessment Model Address Reproductive Resilience? Integrating Connectivity across Life Stages for Marine Populations. Katelyn M. Bosley, Daniel R. Goethel, Aaron M. Berger, Dana Hanselman, Kari H. Fenske, Amy Schueller, Jonathan Deroba, Brian LangsethCM 2017/P:158. Environmental effects on herring recruitment and their integration in stock assessment predictions in the Gulf of St. Lawrence. Pablo Brosset, Thomas Doniol-Valcroze, Doug Swain, Kim Emond, Stéphane PlourdeCM 2017/P:483. Incorporating environmental relationships to recruitment into stock assessments: the potential risks and benefits. LaTreese S. Denson, John F. Walter, Elizabeth BabcockCM 2017/P:479. Can autocorrelated recruitment be estimated using integrated assessment models and how does it affect population forecasts?. K. F. JohnsonCM 2017/P:614. The recruitment dynamics of the Patagonian grenadier (Macruronus magellanicus) off Chile: recruitment regimes and performance of the current management strategy. Luis A. Cubillos, María José CuevasCM 2017/P:525. Demersal fish community and recruitment hotspots: spatial co-ocurrence in the north western Mediterranean Sea. M Pilar Tugores, F. Ordinas, C. Garcia, A. Esteban, B. Guijarro, E. MassutíCM 2017/P:208. Influence of environmental parameter in the abundance of Octopus (Octopus vulgaris , Cuvier, 1797) in the Gulf of Cadiz. I. Sobrino, L. Rueda, M.P. Tugores, C. Burgos, G.J. PierceCM 2017/P:646. Substantial reductions in non-commercial forage fishes on the south coast of Norway in 2002 in relation to a regime shift. Inger Aline Norberg Aanonsen, Tore JohannessenCM 2017/P:62. New evidence of inter-annual time-scales relating the northern shortfin squid (Illex illecebrosus) abundance to the Gulf Stream latitudinal movement. Hassan Moustahfid, Avijit GangopadhyayCM 2017/P:385. Components of individual spawning potential of European lobster (Homarus gammarus L.) in Orkney Scotland: implications for Fisheries Management. Matthew T Coleman, Michael BellCM 2017/P:498. Spatial and temporal recruitment of three young-of-the-year commercial snappers to nearshore seagrass beds in the Middle Florida Keys. Alejandro Acosta, Robert Muller, Jeffrey Renchen, Ariel WileCM 2017/P:615. Depensation in the stock-recruitment relationship of the southern stock of pink cusk-eel (Genypterus blacodes) and recovery effects in Patagonian waters off Chile. Nicolas Muñoz, Luis A. CubillosCM 2017/P:439. Drivers of recruitment dynamics in northeast Atlantic pelagic fish stocks. Fabian Zimmermann, Katja EnbergCM 2017/P:684. Dynamic of the biological reference points under the different biological, fishery and environmental factors. Anna Luzeńczyk
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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 | 0,009 | 0,019 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 ».