Publications by L Kell
DD
Mackerel life history parameters are used to develop an example of modelling density dependence for mass, maturity and natural mortality-at-age. The parameters are first used to construct An FLBRP object representing the equilibrium, and are then coerced into an FLStock to model the time series dynamics. Mass-at-age Mass-at-age (\(W_a\)) is mode...
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Comparision of Data-limited Control Rule Components
Workshop on Data-limited Stocks of Short-lived Species (WKDLSSLS) Concerning faster-growing species, the conclusion was that trend-based management procedures (the ICES 2 over 3 rule, the rfb-rule or any other combination of x over y rules with or without additional elements such as uncertainty caps or biomass safeguards) lead to poor management ...
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Evaluation of Indices & Indicators
[1] "maxfbar has been changed to accomodate new plusgroup" Operating Model The OM is designed to test the ability of an index/indicator to assess status and trend. There are four trajectories based on F Burnin: Constant \(F\) for historical and future trajectories Trends: Positive and negative trends in \(F\) from 2021 onwards Kicked: Stepwise d...
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ICCAT Subcommittee on Ecosystems: 2020
Screening and Validation: Sargasso Sea Case Study Screening and Validation: Sargasso Sea Case Study Risk Base Approaches Catch Only Methods Length Based Indicators Productivity; population growth rate (\(r\)) Habitat Indicators Non-stationarity Yellowfin and Indian Ocean Dipole Sargasso Sea Case Study Scale What if? Summary Challenge Conclusi...
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Pareto
Fisheries Management Multiple Objectives Laurence Kell & Polina Levontin January 20, 2020 Example Allow stakeholders to agree management objectives and the trade-offs between them as the first step when conducting Management Strategy Evaluation. Explore multiple conflicting objectives and the trade-offs beyween them. Develop a risk based fram...
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ERM
Introductions Laurence Kell Polina Levontin SEA++ Participants [Introductions, background, expectations from the course and from the day] Policy Frameworks Tuna RFMOs ICCAT ICES [MSC] (Polina to do) EU Uncertainty and Risk [Risk] (Polina to do) EBFM & ABNJ Visualisation shiny-app Group excercise Examples Pareto [Mackerel] Polina to do) Blu...
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Sargasso Sea Case Study: EBFM
Screening and Validation: Sargasso Sea Case Study Habitat Indicators Non-stationarity Yellowfin and Indian Ocean Dipole Risk Base Approaches Unassessed Stocks Length Base Indicators Productivity Analysis Productivity Susceptibility Analysis Sargasso Sea Case Study Scale Acknowledgements Screening and Validation: Sargasso Sea Case Study Lauren...
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TEAMFish
TEAMFish: Benchmarking Benchmarking vs. Validation Need to define benchmarking and be consistent Existing Benchmarking Processes Single Species Stock Assessment Management Strategy Evaluation of single species advice Ecosystem Models Benchmarking examples Conclusions 2020-05-26 Benchmarking vs. Validation Benchmarking task force: Bjarki, ...
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Emprical Control Rule Developed using Machime
WKGMSE3 WKLife MyDas Emprical Control Rules Pollack Operating Model Machine Learning Objectives Pareto Optimal Solutions Scenarios Pareto Frontiers Calibration Regressions MSE Summary Conclusions Laurence Kell, Coilin Minto & Hans Gerritsen WKGMSE3 WKGMSE3 ToR b) Develop more efficient ways of conducting searches over a grid to the required ...
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Empirical MP
WKGMSE3 WKLife MyDas Emprical Control Rules Management Objectives Operating Model Machine Learning Pareto Optimal Solutions Scenarios Pareto Frontiers Calibration Regressions MSE Summary Conclusions Laurence Kell, Coilin Minto & Hans Gerritsen WKGMSE3 WKGMSE3 ToR b) Develop more efficient ways of conducting searches over a grid to the requir...
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