This vignette is part of a framework to provide integrated fisheries management advice for fisheries limited by data and capacity. It focuses on the use of length-based indicators (LBI) and other methodologies to develop feedback control management strategies in freshwater systems such as Lake Tanganyika. The framework is a collaborative effort between the Assessment & Management Team of the FAO Fisheries and Aquaculture Division and the Fish4ACP Program. The document also provides a summary of the code repository with reproducible examples in the form of vignettes that can be extended in the future to a range of case studies.

This vignette is part of a framework to provide integrated fisheries management advice for fisheries limited by data and capacity. It focuses on the use of length-based indicators (LBI) and other methodologies to develop feedback control management strategies in freshwater systems such as Lake Tanganyika. The framework is a collaborative effort between the Assessment & Management Team of the FAO Fisheries and Aquaculture Division and the Fish4ACP Program. The document also provides a summary of the code repository with reproducible examples in the form of vignettes that can be extended in the future to a range of case studies.

This vignette is part of a framework to provide integrated fisheries management advice for fisheries limited by data and capacity. It focuses on the use of length-based indicators (LBI) and other methodologies to develop feedback control management strategies in freshwater systems such as Lake Tanganyika. The framework is a collaborative effort between the Assessment & Management Team of the FAO Fisheries and Aquaculture Division and the Fish4ACP Program. The document also provides a summary of the code repository with reproducible examples in the form of vignettes that can be extended in the future to a range of case studies.

This vignette is part of a framework to provide integrated fisheries management advice for fisheries limited by data and capacity. It focuses on the use of length-based indicators (LBI) and other methodologies to develop feedback control management strategies in freshwater systems such as Lake Tanganyika. The framework is a collaborative effort between the Assessment & Management Team of the FAO Fisheries and Aquaculture Division and the Fish4ACP Program. The document also provides a summary of the code repository with reproducible examples in the form of vignettes that can be extended in the future to a range of case studies.

This vignette is part of a framework to provide integrated fisheries management advice for fisheries limited by data and capacity. It focuses on the use of length-based indicators (LBI) and other methodologies to develop feedback control management strategies in freshwater systems such as Lake Tanganyika. The framework is a collaborative effort between the Assessment & Management Team of the FAO Fisheries and Aquaculture Division and the Fish4ACP Program. The document also provides a summary of the code repository with reproducible examples in the form of vignettes that can be extended in the future to a range of case studies.

This vignette is part of a framework to provide integrated fisheries management advice for fisheries limited by data and capacity. It focuses on the use of length-based indicators (LBI) and other methodologies to develop feedback control management strategies in freshwater systems such as Lake Tanganyika. The framework is a collaborative effort between the Assessment & Management Team of the FAO Fisheries and Aquaculture Division and the Fish4ACP Program. The document also provides a summary of the code repository with reproducible examples in the form of vignettes that can be extended in the future to a range of case studies.

This vignette is part of a framework to provide integrated fisheries management advice for fisheries limited by data and capacity. It focuses on the use of length-based indicators (LBI) and other methodologies to develop feedback control management strategies in freshwater systems such as Lake Tanganyika. The framework is a collaborative effort between the Assessment & Management Team of the FAO Fisheries and Aquaculture Division and the Fish4ACP Program. The document also provides a summary of the code repository with reproducible examples in the form of vignettes that can be extended in the future to a range of case studies.

This vignette is part of a framework to provide integrated fisheries management advice for fisheries limited by data and capacity. It focuses on the use of length-based indicators (LBI) and other methodologies to develop feedback control management strategies in freshwater systems such as Lake Tanganyika. The framework is a collaborative effort between the Assessment & Management Team of the FAO Fisheries and Aquaculture Division and the Fish4ACP Program. The document also provides a summary of the code repository with reproducible examples in the form of vignettes that can be extended in the future to a range of case studies.

This vignette is part of a framework to provide integrated fisheries management advice for fisheries limited by data and capacity. It focuses on the use of length-based indicators (LBI) and other methodologies to develop feedback control management strategies in freshwater systems such as Lake Tanganyika. The framework is a collaborative effort between the Assessment & Management Team of the FAO Fisheries and Aquaculture Division and the Fish4ACP Program. The document also provides a summary of the code repository with reproducible examples in the form of vignettes that can be extended in the future to a range of case studies.

This vignette is part of a framework to provide integrated fisheries management advice for fisheries limited by data and capacity. It focuses on the use of length-based indicators (LBI) and other methodologies to develop feedback control management strategies in freshwater systems such as Lake Tanganyika. The framework is a collaborative effort between the Assessment & Management Team of the FAO Fisheries and Aquaculture Division and the Fish4ACP Program. The document also provides a summary of the code repository with reproducible examples in the form of vignettes that can be extended in the future to a range of case studies.

This vignette is part of a framework to provide integrated fisheries management advice for fisheries limited by data and capacity. It focuses on the use of length-based indicators (LBI) and other methodologies to develop feedback control management strategies in freshwater systems such as Lake Tanganyika. The framework is a collaborative effort between the Assessment & Management Team of the FAO Fisheries and Aquaculture Division and the Fish4ACP Program. The document also provides a summary of the code repository with reproducible examples in the form of vignettes that can be extended in the future to a range of case studies.

This vignette is part of a framework to provide integrated fisheries management advice for fisheries limited by data and capacity. It focuses on the use of length-based indicators (LBI) and other methodologies to develop feedback control management strategies in freshwater systems such as Lake Tanganyika. The framework is a collaborative effort between the Assessment & Management Team of the FAO Fisheries and Aquaculture Division and the Fish4ACP Program. The document also provides a summary of the code repository with reproducible examples in the form of vignettes that can be extended in the future to a range of case studies.

This vignette is part of a framework to provide integrated fisheries management advice for fisheries limited by data and capacity. It focuses on the use of length-based indicators (LBI) and other methodologies to develop feedback control management strategies in freshwater systems such as Lake Tanganyika. The framework is a collaborative effort between the Assessment & Management Team of the FAO Fisheries and Aquaculture Division and the Fish4ACP Program. The document also provides a summary of the code repository with reproducible examples in the form of vignettes that can be extended in the future to a range of case studies.

This vignette is part of a framework to provide integrated fisheries management advice for fisheries limited by data and capacity. It focuses on the use of length-based indicators (LBI) and other methodologies to develop feedback control management strategies in freshwater systems such as Lake Tanganyika. The framework is a collaborative effort between the Assessment & Management Team of the FAO Fisheries and Aquaculture Division and the Fish4ACP Program. The document also provides a summary of the code repository with reproducible examples in the form of vignettes that can be extended in the future to a range of case studies.

This vignette is part of a framework to provide integrated fisheries management advice for fisheries limited by data and capacity. It focuses on the use of length-based indicators (LBI) and other methodologies to develop feedback control management strategies in freshwater systems such as Lake Tanganyika. The framework is a collaborative effort between the Assessment & Management Team of the FAO Fisheries and Aquaculture Division and the Fish4ACP Program. The document also provides a summary of the code repository with reproducible examples in the form of vignettes that can be extended in the future to a range of case studies.

This vignette is part of a framework to provide integrated fisheries management advice for fisheries limited by data and capacity. It focuses on the use of length-based indicators (LBI) and other methodologies to develop feedback control management strategies in freshwater systems such as Lake Tanganyika. The framework is a collaborative effort between the Assessment & Management Team of the FAO Fisheries and Aquaculture Division and the Fish4ACP Program. The document also provides a summary of the code repository with reproducible examples in the form of vignettes that can be extended in the future to a range of case studies.

Management Plan for Sea Urchin

Simulation of density dependence

There two ways to conduct a hindcast based either on observations, i.e. crossvalidation, or model estimates, e.g. as a backtest. While there are three reasons for doing so, namely to find the "best assessment", select and weight models in an ensemble, or condition Operating and Observation Error Models when conducting Management Strategy Evaluation. We review how stock assessment models are currently validated, summarise the use of the hindcast by the RMFOs, and propose how to adopt hindcasting as an objective approach for selecting, screening and weighting hypotheses.

Impact of Allee effects on reference points

Simulation testing of length-based methods, using Operating Models based on life history relationships

Evaluation of LBIs for detecting overfishing and recovery.

Examples of processing MSE outputs

Summary

Beverton and Holt Stock Recruitment Relationships with two regimes, variable $SPR_0$ and autocorrelation.

Selected tuna RFMO stock trends relative to BMSY

The RAM DB is used to generate data poor time series and then JABBA configured as a catch-only model is used to estimate final depletion. Results are then compared using Receiver Operator Characteristics

Derivation of priors for population growth rate, based on the Leslie matrix using life history parameters

Summary of the data used to evaluate the catch-only models

A comparison of reference points from the Operating Model and eqsim.

A comparison of reference points estimated by SS3, for different values of steepness and natural mortality, with those estimated by msy-tools

results from MSE

Full set of plots

Summary of data in RAM Legacy database

Example of an empirical control rule developed using Machine Learning

Examples of screening indicators, and using machine learning to conduct MSE

Benchmarking

Validation and Screening of Indicators: Sargasso Sea Case Study

2020 ICCAT SUB-COMMITTEE ON ECOSYSTEM MEETING 4-6 May 2020

Use Pareto Fronts to evaluate trade-offs

Comparison of the dynamics of a low k stock (turbot) with a high k stock (brill)

Multiple trade-offs

Pareto Plots to show trade-offs

Update on work conducted under MyDas

Abacore

The cross correlations are plotted for negative lags between recruitment and catch, i.e. for lobster high catches occur 6 years after a strong recruitment, while for sprat they occur after 2 years. The hypothesis is that the performance of a harvest control is determined by the variability in recruitment and the lag between catch and recruitment, rather than the life history parameters and the production function. This can be tested by simulating stocks with different life history parameters and natural mortality vectors and various recruitment scenarios, then comparing the performance of the control rules

Mydas Presentation at WKLife

Summary of the MyDas project. MyDas is funded by the Irish exchequer and EMFF 2014-2020, and the overall aim is to develop and test a range of assessment models and methods to establish Maximum Sustainable Yield (MSY), or proxy MSY reference points across the spectrum of data-limited stocks.

mey

gislason

lh

life hist

Simulation of long-term constant Fishing Mortality to compare dynamic projections with equilibrium. Fs are for a range of per recruit reference points.

FLife Vignette

GBYP

Proportion of stock>Lmega, i.e. save the BOFFs

Indicator based on proportion of stock below Length at Maturity

A large pelagic that was originally at virgin, then expoited increasingly heavily over 100 years

The Kobe Advice Framework

tentative course outline

Kobe Vignette

test

dl/dt by days at liberty