Dynamic prediction of effort reallocation in mixed fisheries

Tidd, Alex; Hutton, Trevor; Kell, Laurence T.; Blanchard, Julia L.

doi:10.1016/j.fishres.2012.03.004

Cited by 28 publications

(31 citation statements)

References 39 publications

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“…The fisher's previous experience or knowledge, in terms of total catches in a given rectangle irrespective of their species composition (no species-specific catches appeared significant at any lag level), was also an important modulator of their effective fishing strategy. This is in agreement with results of previous studies reporting fishers choosing an area based on habitual past effort/tradition (Hutton et al 2004, Tidd et al 2012.…”

Section: Sensitivity Analysissupporting

confidence: 93%

“…This is probably due to the similar market prices that the main target species, anchovy and sardine, have in the study area (Maravelias and Tsitsika 2008). Other studies have reported that fishers' tactics appeared to be based on past expected revenue of target species such as plaice (Hutton et al 2004, Tidd et al 2011) and sole (Tidd et al 2012). In these areas and fisheries there are substantial differences between the market prices of the various target species.…”

Section: Sensitivity Analysismentioning

confidence: 60%

“…The estimated selection probability of each rectangle was very close to the observed one, thus enabling good predictions to be made. One of the key findings from this study is that the utility of fishing in a location (a given fishing area) depends on previous success measured as high catch rates, as well as previous experience, in this case a measure of past fishing practice monthly and annually (the effort allocation variable; Hutton et al 2004, Tidd et al 2012. The results of a CREAM paper (Sartor et al, 2014) suggest that knowledge of fisheries characterization, stocks and habitats is relatively high in the Mediterranean Sea.…”

Section: Sensitivity Analysismentioning

confidence: 78%

“…Knowledge of how fishers allocate their fishing effort in space and time is essential to understand how a fishery develops. A number of studies have looked at behavioural aspects of the way fishers allocate their effort spatially (Rijnsdorp et al 2000, Hilborn et al 2005, Hutton et al 2004, Smith et al 2009, Tidd et al 2012. The behaviour of fishers can be studied in the short term (their tactics), for example on a trip-by-trip basis in terms of decisions where to fish and which species to target, or in the long term (their strategies), i.e.…”

Section: Introductionmentioning

confidence: 99%

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Fishing strategies and the Ecosystem Approach to Fisheries in the eastern Mediterranean Sea

Maravelias¹,

Haralabous²,

Tsitsika³

2014

Sci. Mar.

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Summary:The sustainable use of aquatic living resources is the cornerstone of the ecosystem approach to fisheries management (EAF). Excess fishing effort leading to the degradation of fishery resources and significant economic waste is globally recognized by resource managers as a major problem for the implementation of the EAF and European's Union Common Fisheries Policy (CFP). Knowledge of how fishers allocate their fishing effort in space and time is essential to understand how a fishery develops. Understanding fishing strategies is also vital for predicting how a fishery might respond to proposed management changes such as effort/area restrictions and introduction of a marine protected area, and for drawing up a management policy. Random utility models were used to examine the factors affecting fishers' behaviour in the NE Mediterranean. The probability of selecting a specific fishing rectangle was estimated using monthly purse seine data. The predictive inputs concerned both subjective behavioural and objective seasonal and technical-economic characteristics. The present study provided direct evidence of the important role that the strategic decision-making behaviour of fishers could play in understanding the way the industry will respond to changes in resource availability, market conditions and management measures under the EAF principle.Keywords: ecosystem approach; random utility model (RUM); discrete choice model; fleet dynamics; fishers behaviour. Estrategias de pesca y Aproximación Ecosistémica de Pesquerías en el Mediterráneo orientalResumen: El uso sostenible de los recursos vivos acuáticos es la piedra angular del enfoque ecosistémico en la gestión de pesquerías (EAF). El exceso de esfuerzo pesquero, responsable de la degradación de los recursos pesqueros y pérdidas econocómicas significativas, es generalmente reconocido por los gestores pesqueros como el principal problema para la implementación del EAF y de la Política Pesquera Común Europea (PPC). El conocimiento de la forma en la que los pescadores localizan su esfuerzo pesquero en espacio y tiempo es esencial para comprender como se desarrolla una pesquería. Entender las estrategias pesqueras es vital también para predecir como una pesquería puede responder en función de cambios de gestión propuestos como restricciones esfuerzo/área, introducción de Áreas Marinas Protegidas (MPA) y en la aplicación de la política de gestión. Para examinar los factores que afectan el comportamiento de la elección de los pescadores del Mediterráneo oriental se han utilizado Modelos de Utilidad Aleatorios (RUMs). La probabilidad de seleccionar un rectángulo específico de pesca fue estimada utilizando datos mensuales de cerqueros. Los datos predictivos de entrada incluían ambos comportamientos, tanto subjetivos como objetivos, estacionales y características técnico-económicas. El presente estudio proporciona indicios claros de la importancia que puede tener la estrategia en la toma de decisiones de los pescadores en la forma en que la industria responderá a los c...

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Section: Sensitivity Analysissupporting

confidence: 93%

Section: Sensitivity Analysismentioning

confidence: 60%

Section: Sensitivity Analysismentioning

confidence: 78%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fishing strategies and the Ecosystem Approach to Fisheries in the eastern Mediterranean Sea

Maravelias¹,

Haralabous²,

Tsitsika³

2014

Sci. Mar.

View full text Add to dashboard Cite

show abstract

“…Indeed, VPUE is already in use within bio-economical modeling as a driver of fisher behavior as a proxy of "revenue" (e.g. Tidd et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

Defining value per unit effort in mixed métier fisheries

et al. 2015

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Value achieved from time spent at sea is a central driver of fishing decisions and fishing behaviors. Value per unit effort (VPUE) is an important indicator of economic performance in itself and a useful metric within integrated mixed fisheries models. A time series of Irish first sale prices and total per trip landings values (VPT) highlight heterogeneity in fish prices and VPTs achieved by the Irish fleet spatially and temporally, as well as variability with species targeting. This investigation compared models to standardize fishing trip VPUE accounting for species targeting (métier groupings), engine power (a kW proxy for vessel size), seasonal and annual variability, fishing effort, and individual vessels (encompassing variability in vessel characteristics and skipper effects). Linear mixed effects models incorporating random vessel effects and within-group variance between métier groupings performed best at describing the variability in the dataset. All investigated factors were important in explaining variability, and thus important in standardizing VPUE. Models incorporating fishing days (days with reported fishing activity) and engine power as separate 2 variables resulted in improved AIC values. Therefore, fishing days were considered to be the most appropriate effort measure to generate VPUE. The effort unit traditionally applied in measures of per unit effort, fishing hours, performed comparatively poorly in relation to VPT.

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