Recruitment dynamics in a changing environment: integrating spatial and temporal variability into stock assessment and management strategies
Bibliographic record
Abstract
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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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".