FLBEIA: A simulation model to conduct Bio-Economic evaluation of fisheries management strategies

García, Dorleta; Sánchez, Sonia; Prellezo, Raúl; Urtizberea, Agurtzane; Andrés, Marga

doi:10.1016/j.softx.2017.06.001

Cited by 22 publications

(15 citation statements)

References 18 publications

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“…We evaluated the performance of advice rules for ICES category 3 stocks using a Management Strategy Evaluation (MSE) simulation framework (Punt et al, 2016). The simulations were carried out using the FLBEIA software (García et al, 2017), which is a tool to perform bio-economic impact assessment of fisheries management strategies based on FLR tools (Kell et al, 2007).…”

Section: Management Strategy Evaluationmentioning

confidence: 99%

Adapting Simple Index-Based Catch Rules for Data-Limited Stocks to Short-Lived Fish Stocks’ Characteristics

et al. 2021

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Most of the methods developed for managing data-limited stocks have been designed for long-lived species and result in a poor performance when applied to short-lived fish due to their high interannual variability of stock size (IAV). We evaluate the performance of several catch rules in managing two typical short-lived fish (anchovy-like: characterized by high natural mortality, and hence, IAV, and full maturity at age 1; and sprat/sardine-like: with medium natural mortality and IAV, being fully mature at age 2). We followed the management strategy evaluation approach implemented in FLBEIA software to test several model-free harvest control rules, where the Total Allowable Catch (TAC) is yearly modified according to the recent trends in an abundance index (n-over-m rules: means of the most recent n values over the precedent m ones). The performance of these rules was assessed across a range of settings, such as time-lags between the index availability and management implementation, and alternative restrictions on TACs’ interannual variability (the uncertainty caps, UC). Moreover, we evaluated the sensitivity of the rule performance to the operating model assumptions (stock type, productivity, recruitment variability and initial depletion level) and to the observation error of the index. In general, the shorter the lag between observations, advice and management, the bigger the catches and the smaller the biological risks. For in-year management, 1-over-m rules are reactive enough to stock fluctuations as to gradually reduce risks. The 1-over-2 rule with symmetric 80% UCs reduces catches and risks toward precautionary levels in about 10 years, faster than if applied unconstrained (i.e., without UC), whilst the ICES default 2-over-3 rule with symmetric 20% UC is not precautionary. We prove that unconstrained rules gradually reduce the fishing opportunities, with amplified effects with increasing IAV. This property explains the stronger reductions of catches and risks achieved for the anchovy compared to the sprat/sardine-like stocks for any rule and the balance between catches and risks as the index CV increases. However, to avoid unnecessary long-term losses of catches from such reduction properties, it is suggested that the rules should be applied provisionally until a better assessment and management system is set up.

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Section: Management Strategy Evaluationmentioning

confidence: 99%

Adapting Simple Index-Based Catch Rules for Data-Limited Stocks to Short-Lived Fish Stocks’ Characteristics

et al. 2021

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“…The approach is illustrated using a complex implementation of FLBEIA (Garcia et al, 2017b), a bio-economic simulation model that is used to describe fishery systems. In FLBEIA the fishery system is divided in two main components, the real system that includes the fish stocks and the fishing fleets, and the management system that is formed by the data collection, the assessment model and the management advice.…”

Section: General Descriptionmentioning

confidence: 99%

“…The objective of this study is to define a procedure for robustly selecting the input factors that will be considered in the Sobol method after the Morris method is applied. We illustrate the approach using a complex implementation of the FLBEIA bio-economic fisheries simulation model (Garcia et al, 2017b), where the number of input factors is 133. The performance of the calibrated visual criterion is compared with the performance of the criterion that selects a fixed number of factors and the criterion based on Savage scores (from now on the Savage criterion).…”

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Robust combination of the Morris and Sobol methods in complex multidimensional models

García

Aróstegui

Prellezo

2019

Environmental Modelling & Software

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“…Previous revenues are used as a proxy of potential earnings. An investment module 310 representing fleet-level entry decisions, similar to the one described in Garcia et al (2012), has been 311 developed, but was excluded for this study as the CFP management plan for the Bay of Biscay sole 312 fishery prevents increasing capacity. For fishery exits, the model represents disinvestment decisions 313 at the vessel level and distinguishes fishery exits without public aids from fishery exits supported by 314 public aids as part of a decommissioning scheme (see Eq.…”

Section: Long-term Behaviour Model 306mentioning

confidence: 99%

Investigating trade-offs in alternative catch share systems: an individual-based bio-economic model applied to the Bay of Biscay sole fishery

Bellanger

Macher

Merzéréaud

et al. 2018

Can. J. Fish. Aquat. Sci.

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Abstract. An individual-based bio-economic model (IAM) is presented and applied to the Bay of 7Biscay sole fishery to investigate alternative quota management systems from a multi-criteria 8 perspective. For this study, the model integrates several institutional arrangements related to catch 9share management. The current French co-management system with non-transferability of quota is 10 compared to an alternative ITQ system in a context of transition to maximum sustainable yield 11 (MSY). Trade-offs between ecological and socio-economic impacts are highlighted and the 12 effectiveness of governance scenarios is discussed in regard to the challenge of capacity adjustment. 13

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FLBEIA: A simulation model to conduct Bio-Economic evaluation of fisheries management strategies

Cited by 22 publications

References 18 publications

Adapting Simple Index-Based Catch Rules for Data-Limited Stocks to Short-Lived Fish Stocks’ Characteristics

Adapting Simple Index-Based Catch Rules for Data-Limited Stocks to Short-Lived Fish Stocks’ Characteristics

Robust combination of the Morris and Sobol methods in complex multidimensional models

Investigating trade-offs in alternative catch share systems: an individual-based bio-economic model applied to the Bay of Biscay sole fishery

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