Reconciling single-species TACs in the North Sea demersal fisheries using the Fcube mixed-fisheries advice framework

Ulrich, Clara; Reeves, Stuart A.; Vermard, Youen; Holmes, Steven J.; Willy, Vanhee

doi:10.1093/icesjms/fsr060

Cited by 81 publications

(85 citation statements)

References 16 publications

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“…This insight may guide inspection agencies to manage their inspection effort. More importantly, the insight as to the quantity as well as the size or agestructure of the discarded catch will allow fisheries scientists to explore the accuracy of their assessment of the stock (Harley et al 2000;Dickey-Collas et al 2007;Heery and Berkson 2009;Pawlowski and Lorance 2009) and the quality of the scientific advice (Daan 1997;Rijnsdorp et al 2007;Ulrich et al 2011).…”

Section: Discussionmentioning

confidence: 99%

High-grading and over-quota discarding in mixed fisheries

Batsleer

Hamon²,

Overzee³

et al. 2015

Rev Fish Biol Fisheries

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High-grading is the decision by fishers to discard fish of low value that allows them to land more valuable fish. A literature review showed high-grading is reported in commercial and non-commercial fisheries around the world, although the number of observations is small. High-grading occurs in fisheries that are restricted to land their total catch due to management, market or physical constraints. Using the mixed flatfish fishery as a model system, a dynamic state variable model simulation showed that high-grading of certain grades occurs throughout the year when their ex-vessel price is low. High-grading increases with the degree of quota restriction, while the level of over-quota discarding is unrelated to the quota level. The size composition of the high-graded catch differs from the landed catch. Due to the differences in the seasonal variation in size specific ex-vessel price, the effect of quota restrictions on the size composition of the discarded catch is nonlinear. High-grading is difficult to detect for the fishery inspection as it occurs on-board during the short period when the catch is processed. We conclude that highgrading is under-reported in fish stocks managed by restrictive quota, undermining the quality of stock assessments and sustainable management of exploited fish stocks.

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Section: Discussionmentioning

confidence: 99%

High-grading and over-quota discarding in mixed fisheries

Batsleer

Hamon²,

Overzee³

et al. 2015

Rev Fish Biol Fisheries

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“…Garcia, Santurtun, Prellezo, Sanchez, & Andres, 2012;Garcia, Urtizberra, Diez, Gil, & Marchal, 2013;García, Prellezo, et al, 2016;García, Sanchez, Prellezo, Urtizberea, Andres 2016;Jardim et al, 2013;Prellezo et al, 2016. 26 FCUBE ICES 2006, 2014aHoff et al, 2010;Ulrich et al, 2011Ulrich et al, , 2017Iriondo et al, 2012;Maravelias, Damalas, Ulrich, Katsanevakis, & Hoff, 2012;Jardim et al, 2013;EU STECF, 2015b;ICES 2015c,d. 27 GBFWCGE Seung 2006Steele et al, 2007;Pan, Failler, & Floros, 2007;.…”

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Integrated ecological–economic fisheries models—Evaluation, review and challenges for implementation

et al. 2017

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Marine ecosystems evolve under many interconnected and area-specific pressures. To fulfil society's intensifying and diversifying needs while ensuring ecologically sustainable development, more effective marine spatial planning and broader-scope management of marine resources is necessary. Integrated ecological-economic fisheries models (IEEFMs) of marine systems are needed to evaluate impacts and sustainability of potential management actions and understand, and anticipate ecological, economic and social dynamics at a range of scales from local to national and regional. To make these models most effective, it is important to determine how model characteristics and methods of communicating results influence the model implementation, the nature of the advice that can be provided and the impact on decisions taken by managers. This article presents a global review and comparative evaluation of 35 IEEFMs applied to marine fisheries and marine ecosystem resources to identify the characteristics that determine their usefulness, effectiveness and implementation. The focus is on fully integrated models that allow for feedbacks between ecological and human processes although not all the models reviewed achieve that. Modellers must invest more time to make models user friendly and to participate in management fora where models and model results can be explained and discussed. Such involvement is beneficial to all parties, leading to improvement of models and more effective implementation of advice, but demands substantial resources which must be built into the governance process. It takes time to develop effective processes for using IEEFMs requiring a long-term commitment to integrating multidisciplinary modelling advice into management decision-making. K E Y W O R D Sbio-economic models, comparative model evaluation, fisheries management advice, integrated ecological-economic fisheries models, marine spatial planning and cross-sector management, performance criteria and scales and risks, use and acceptance and implementation and communication and flexibility and complexity | INTRODUCTIONThere is a growing need for tools to evaluate policies and assess tradeoffs in management of marine resources and provision of ecosystem services such as fishing, aquaculture, renewable energy, shipping, conservation and recreation (Cormier, Kannen, Elliott, & Hall, 2015;Degnbol & Wilson, 2008;EU 2014;Langlois, Fréon, Steyer, Delgenés, & Hélias, 2014;White et al., 2012). It is necessary to elaborate and apply common principles and broader, interdisciplinary management evaluation in the use of marine space involving several types of activities and sectors Soma et al., 2013;Stelzenmüller et al., 2013;Sundblad et al., 2014). Policymakers need to know the costs and benefits of conserving ecosystem goods and services to manage them sustainably. Moreover, according to an ecosystembased approach to management, specific pressures, associated uncertainties and risks need to be taken into account (Douvere, 2008;Ehler & Douvere, 2009;Gi...

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“…Seasonal closures could also help to maintain sardine production at a sufficient level to maintain the stock. However, effort management has been regarded as a more effective measure by different authors (Kraak et al 2008, Ulrich et al 2011.…”

Section: Discussionmentioning

confidence: 99%

Dealing with dynamics and uncertainty of small pelagic fisheries: bioeconomic analysis of manager’s responses to alternative management strategies

Anda-Montañez

Salas

Galindo-Cortés

2019

Rev. biol. mar. oceanogr.

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Resumen.-Las pesquerías de pelágicos menores se han caracterizado por sus grandes fluctuaciones en abundancia, debido a factores ambientales, regímenes de captura, patrones de reproducción, entre otros. Dada esta complejidad, el desarrollo de esquemas de manejo para la pesquería de sardina requiere de la evaluación del impacto de diferentes estrategias de manejo, considerando la incertidumbre asociada con el comportamiento biológico de los recursos y el rendimiento económico de las pesquerías. Una forma de predecir dichos cambios en la abundancia, es a través de procesos de simulación bajo diferentes escenarios. En este estudio, se usó un modelo bioeconómico dinámico estructurado por edad de la pesquería de sardina del Pacífico (Sardinops sagax) de la península de Baja California en México para evaluar el efecto de cambios en el reclutamiento sobre diferentes variables de estado (biomasa, valor presente neto y captura). Se consideró riesgo e incertidumbre asociada a parámetros sensibles (mortalidad natural, precio y capturabilidad). Se empleó el enfoque precautorio para evaluar la respuesta de los responsables de tomar decisiones con diferente actitud al riesgo (adverso, neutral y buscador de riesgo) bajo diferentes escenarios, desde acceso abierto hasta restricciones en el esfuerzo pesquero. Los resultados mostraron que las estrategias de manejo que involucraron restricciones en el esfuerzo pesquero resultaron en una baja probabilidad (0-7, expresado en porcentaje) de exceder los puntos de referencia límite (PRL) comparado con aquellas bajo condiciones de acceso abierto o captura en rendimiento máximo sostenible (RMS) y cuotas de captura (13-60%). El análisis enfatiza las ventajas de utilizar un enfoque que incorpore el riesgo y la incertidumbre para la generación de estrategias de manejo de las pesquerías pelágicas con alta exposición a condiciones inciertas.Palabras clave: Puntos de referencia bioeconómico, manejo precautorio, sardina del Pacífico, riesgo, incertidumbre Abstract.-Small pelagic fisheries have been characterized by large fluctuations in abundance due to environmental factors, harvest regimes, and reproduction patterns, among others. Given this complexity, the development of management schemes for sardine fisheries requires an evaluation of the impact of different management strategies. The evaluation of any management scheme would need to account for the uncertainty associated with the biological behavior of resources and economic performance of the fisheries to predict changes in resource abundance through simulation of alternative scenarios. In this study, an agestructured dynamic bioeconomic model of the Pacific sardine (Sardinops sagax) fishery off the Baja California peninsula in Mexico was used. The model assessed the effect of changes in recruitment over several state variables (biomass, net present value and catch). An analysis of risk and uncertainty allowed the identification of sensitive parameters (natural mortality, price and catchability) and a precautionary approach was used to e...

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Reconciling single-species TACs in the North Sea demersal fisheries using the Fcube mixed-fisheries advice framework

Cited by 81 publications

References 16 publications

High-grading and over-quota discarding in mixed fisheries

High-grading and over-quota discarding in mixed fisheries

Integrated ecological–economic fisheries models—Evaluation, review and challenges for implementation

Dealing with dynamics and uncertainty of small pelagic fisheries: bioeconomic analysis of manager’s responses to alternative management strategies

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