Standardizing catch and effort data: a review of recent approaches

Maunder, Mark N.; Punt, André E.

doi:10.1016/j.fishres.2004.08.002

Cited by 1,056 publications

(1,013 citation statements)

References 59 publications

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“…In cases where the data are reliable, such as when they are overseen by an observer program, and when gear-related effects are accounted for, standardised bycatch may provide an index of population abundance over time (Maunder and Punt, 2004). This approach has underpinned many analyses of recovery trends and hindcasts of historical population sizes of marine mammals (e.g.…”

Section: Introductionmentioning

confidence: 99%

Bycatch and strandings programs as ecological indicators for data-limited cetaceans

Meager

Sumpton

2016

Ecological Indicators

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a b s t r a c tAn integrated approach of using strandings and bycatch data may provide an indicator of long-term trends for data-limited cetaceans. Strandings programs can give a faithful representation of the species composition of cetacean assemblages, while standardised bycatch rates can provide a measure of relative abundance. Comparing the two datasets may also facilitate managing impacts by understanding which species, sex or sizes are the most vulnerable to interactions with fisheries gear. Here we apply this approach to two long-term datasets in East Australia, bycatch in the Queensland Shark Control Program (QSCP, 1992(QSCP, -2012 and strandings in the Queensland Marine Wildlife Strandings and Mortality Program (StrandNet, 1996(StrandNet, -2012. Short-beaked common dolphins, Delphinus delphis, were markedly more frequent in bycatch than in the strandings dataset, suggesting that they are more prone to being incidentally caught than other cetacean species in the region. The reverse was true for humpback whales, Megaptera novaeangliae, bottlenose dolphins, Tursiops spp.; and species predominantly found in offshore waters. QSCP bycatch was strongly skewed towards females for short-beaked common dolphins, and towards smaller sizes for Australian humpback dolphins, Sousa sahulensis. Overall, both datasets demonstrated similar seasonality and a similar long-term increase from 1996 until 2008. Analysis on a species-byspecies basis was then used to explore potential explanations for long-term trends, which ranged from a recovering stock (humpback whales) to a shift in habitat use (short-beaked common dolphins).Crown

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Section: Introductionmentioning

confidence: 99%

Bycatch and strandings programs as ecological indicators for data-limited cetaceans

Meager

Sumpton

2016

Ecological Indicators

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“…Whilst vessel length was also available, this characteristic is highly correlated with engine power (Davie et al, 2014). In formulation of PUE indices, collinearity between main effects variables should be avoided, to reduce the risk of model fitting becoming numerically unstable or over-fitted (Maunder and Punt, 2004).…”

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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“…Esta tarea demanda seleccionar adecuadamente los factores que explican la variabilidad en las tasas de captura, pues, la ausencia de un factor que explique un porcentaje significativo de la variabilidad en las tasas de captura puede ser atribuido al factor año, mientras que, por el contrario, demasiadas variables explicatorias incluidas en el modelo podrían sesgar la variabilidad de este factor, atribuido a variaciones en la abundancia. Desde este punto de vista, Maunder & Punt (2004) seña-lan que se deben tomar las variables explicatorias de las cuales se tenga algún fundamento para señalar que pueden estar influenciando la capturabilidad.…”

Section: Modelounclassified

“…factores seleccionados) y la máxima log-verosimilitud de un modelo saturado (con todos los factores). La teoría estadística detrás de los MLG ha sido ampliamente documentada, tanto para aplicaciones relacionadas con poblaciones marinas (Punt et al, 2000;Maunder & Punt, 2004), como para acabadas técnicas estadísticas (McCullagh & Nelder, 1989), por consiguiente no será discutida en este trabajo.…”

Section: Modelounclassified

“…Por otra parte, los MLG son flexibles a diferentes formas de analizar la información, en especial en la exploración de diferentes alternativas para la distribución de la variable respuesta (Punt et al, 2000). Estas características han llevado en la actualidad a que este método sea ampliamente utilizado en la estandarización de las tasas de captura (Maunder & Punt, 2004).…”

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