Sustainability thresholds and ecosystem functioning: the selection, calculation, and use of reference points in fishery management (co-sponsored by PICES)
Bibliographic record
Abstract
No abstracts are to be cited without prior reference to the author. Conveners: Daniel R. Goethel (USA), Henrik Sparholt (Denmark), Aaron M.Berger(USA), Patrick D.Lynch (USA), Bjarte Bogstad (Norway), Joanne Morgan (Canada), Xiujuan Shan (China).CM 2018/Q:198. Inshore fisheries for the northern shrimp Pandalus borealis in Iceland: do multi-species linkages and temperature improve management advice? Woods, Pamela J., Elvarsson, Bjarki T., Jonsdóttir, Ingibjörg G., Thordarson, GudmundurCM 2018/Q:137. A list of ecosystem FMSY values suggested for use in management of 53 North Atlantic fish stocks. Henrik Sparholt, Bjarte Bogstad, Villy Christensen, Jeremy Collie, Rob van Gemert, Ray Hilborn, Jan Horbowy, Daniel Howell, Michael Melnychuk, Søren Anker Petersen, Claus Reedtz Sparrevohn, Gunnar Stefansson and Petur SteingrundCM 2018/Q:15. Stochastic MSY accounting for non-stationary stock-recruitment relationships of Atlantic cod stocks off Newfoundland and Labrador. Fan ZhangCM 2018/Q:109. Steps towards a multispecies approach to fisheries management in NAFO; assessment of harvest control rules in a multispecies oriented MSE framework. Alfonso Pérez-Rodríguez; Daniel Howell; Fernando González-CostasCM 2018/Q:213. Impact of time-varying productivity on biological reference points: insights and pitfalls. Catherine G.J. Michielsens, Carrie A. HoltCM 2018/Q:223. Fisheries management in a dynamic environment: reference points that correspond to prevailing ecosystem conditions. Aaron M. BergerCM 2018/Q:460. Limits of applicability of the large fish indicator in a boreal shrimp abundant community. Daniel E. Duplisea, Marie-Julie Roux, Hugo BourdagesCM 2018/Q:565. Evaluating impact of food web effects on FMSY. Daniel Howell, Villy Christensen, Gunnar Stefansson, Bjarte Bogstad, Cecilie Hansen, Joana Ribeiro, Erla Sturludottir, Steven Mackinson, Natalie Serpetti, Robert Thorpe, Barbara Bauer, Maciej TomczakCM 2018/Q:559. A multi-stock harvest control rule to support a consistent management along stocks in the framework of fishing mortality ranges. Dorleta Garcia, Agurtzane Urtizberea, Raul Prellezo, Gorka Merino and Hilario MuruaCM 2018/Q:194. ICES approach for advice on fishing opportunities. Eskild Kirkegaard, Ghislain Chouinard, Lotte Worsøe Clausen, Colm Lordan, Mark TaskerCM 2018/Q:374. The ability of a surplus production model to capture density dependence in growth and mortality. Rob van Gemert, Ken H. AndersenCM 2018/Q:150. Escapement strategy for long-lived species. Cian Kelly, Daniel HowellCM 2018/Q:493. Linking FMSY to life-history parameters and ecosystem state. John G. Pope; Erla Sturludóttir; Henrik Gislason; Michael Melnychuk; Henrik Sparholt; Gunnar StefanssonCM 2018/Q:453. Are any herring harvest control rules good for both fisheries and predators? Sarah Gaichas, Jonathan Deroba, Min-Yang LeeCM 2018/Q:299. Integrating fleet dynamics in multispecies size-spectrum ecosystem models and their use to identify ecosystem-level reference points. C. Novaglio, E.A. Fulton, J. Blanchard, I.E. van PuttenCM 2018/Q:432. Best practices for defining, selecting, and calculating reference points under the U.S. policy framework. Erin Schnettler, Richard Methot, Patrick Lynch, Melissa Karp, Deb Lambert, Mark Smith, Karen Greene, Liz Brooks, Tim Miller, Mike Fogarty, Clay Porch, Michael O’Farrell,James Hilger, Grant Thompson, Kari Fenske, Jon Brodziak, Donald Kobayashi, Marc Nadon, Brian Langseth, Mike Larkin, Sean Matson, Matt Dunlap, Karyl Brewster-GeisCM 2018/Q:452. Density-dependent growth in North Atlantic fishes: exception or the rule? Jan Horbowy, Jeremy Collie, Adrien TableauCM 2018/Q:600. Implications to harvest policies of time-varying natural mortality though incorporation of a predation index in the Gulf of Alaska pollock stock assessment. Martin DornCM 2018/Q:119. The Effect of Stock-Recruitment and Environmental Assumptions on the Status of a Fishery: A Case Study of the Gulf of Maine American Lobster Fishery. Mackenzie Mazur, Yong ChenCM 2018/Q:650. Multiple lines of evidence for ecosystem overfishing: the North Sea. Jason S. LinkCM 2018/Q:43. Effects of Climate-Dependencies and Estimation Methods on Biological Reference Points. Cecilia A. O’Leary, Janet A. NyeCM 2018/Q:54. Assessing ecosystem level sustainability of fishing. Verena Trenkel
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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 | 0.010 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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".