Differences in swimbladder volume between Baltic and Norwegian spring-spawning herring: Consequences for mean target strength

Fässler, S.M.M.; Gorska, Natalia; Ona, Egil; Fernandes, Paul G.

doi:10.1016/j.fishres.2008.01.013

Cited by 24 publications

(11 citation statements)

References 41 publications

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“…It is suggested that environmental factors cause different morphological adaptations within species (Fassler et al, 2008) and consequentially backscattering properties.…”

Section: Discussionmentioning

confidence: 99%

Acoustic Classification of Freshwater Fish Species Using Artificial Neural Network: Evaluation of the Model Performance

Fahmi¹,

Wijopriono

2013

Indonesian Fisheries Research Journal

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ABSTRACT:Hydroacoustic techniques are a valuable tool for the stock assessments of many fish species. Nonetheless, such techniques are limited by problems of species identification. Several methods and techniques have been used in addressing the problem of acoustic identification species and one of them is Artificial Neural Networks (ANNs). In this paper, Back propagation (BP) and Multi Layer Perceptron (MLP) of the Artificial Neural Network were used to classify carp (Cyprinus carpio), tilapia (Oreochromis niloticus), and catfish (Pangasius hypothalmus). Classification was done using a set of descriptors extracted from the acoustic data records, i.e. Volume Back scattering (Sv), Target Strength (TS), Area Back scattering Strength, Skewness, Kurtosis, Depth, Height and Relative altitude. The results showed that the Multi Layer Perceptron approach performed better than the Back propagation. The classification rates was 85.7% with the multi layer perceptron (MLP) compared to 84.8% with back propagation (BP) ANN.

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“…It is suggested that environmental factors cause different morphological adaptations within species (Fassler et al, 2008) and consequentially backscattering properties.…”

Section: Discussionmentioning

confidence: 99%

Acoustic Classification of Freshwater Fish Species Using Artificial Neural Network: Evaluation of the Model Performance

Fahmi¹,

Wijopriono

2013

Indonesian Fisheries Research Journal

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“…The general value −71.2 dB of b 20 for sprat and herring obtained in high-saline waters and used in the Baltic International Acoustic Survey (ICES 2009) is probably too low for fishes in the eastern Baltic Sea. This is primarily because the fish need a larger swimbladder volume to obtain neutral buoyancy due to the lower salinity here, which implies that the value of b 20 is higher (Didrikas & Hansson 2004, Fässler et al 2008. To estimate b 20 , the distribution of TS in the dark hours with dispersed fish was related to the length distribution of sprat as the dominant species in the trawl catches.…”

Section: Hydroacousticsmentioning

confidence: 99%

Diel vertical interactions between Atlantic cod Gadus morhua and sprat Sprattus sprattus in a stratified water column

Andersen¹,

Lundgren²,

Neuenfeldt³

et al. 2017

Mar. Ecol. Prog. Ser.

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Information about species interactions at a spatial scale comparable to the perceptive abilities of the involved species is crucial for establishment of predictive food consumption models at the population level. Nevertheless, such information is sparse due to methodological constraints. We studied the diel vertical dynamics of species interactions between Atlantic cod Gadus morhua and its major clupeid prey, sprat Sprattus sprattus, at a location in the Bornholm Basin of the central Baltic Sea during late winter. This was accomplished by combining acoustic information on diel vertical fish distribution, time of ingestion of individual sprat estimated from cod stomach content data and observed vertical profiles of salinity, temperature and oxygen content. Predation by cod took place primarily at dusk and dawn during ascent and descent of sprat associated with school dissolution and formation, respectively. Cod resided close to the bottom outside these temporal predation windows. Sprat schools were located at the same depth as cod in the daylight hours, whereas at night dispersed sprat were situated higher in the water column. These vertical dynamics could be explained by fitness optimization using bioenergetics and trade-offs between temperature, oxygen saturation of the water and predation risk. This study forms a first step towards providing a mechanistic background for the predatory impact of cod at the basin scale and beyond.

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“…The effectiveness of these models is justified by the assumption that important acoustic scattering parameters, such as the distribution of angle of orientation and animal size, do not vary significantly in the survey area during relevant seasons, so that echo features revealed by empirical measurements are representative in the pertinent context. However, due to the same reason, the limitation of these empirical models should be recognized and cautions should be taken when model parameters are extrapolated (Fässler et al, 2008). Nevertheless, empirical measurements from these studies and the resulting prediction intervals in the regression models provide important quantitative measures for the natural variability of echoes that ought to be appreciated in the modeling and analysis of in-situ echoes from live animals (Gorska and Ona, 2003a,b;Stanton et al, 1993a) (also see Sec.…”

Section: Echoes From Individual Marine Organismsmentioning

confidence: 99%

“…For example, the narrowband TS model was derived using measurements from Atlantic herring in Norwegian waters (Ona, 2003). Therefore, the application of this model on data collected in the Gulf of Maine represents an extrapolation to this regression model (Fässler et al, 2008) and is likely to produce biased results. This is because the applicability of empirical or semi-empirical TS models are generally justified by the assumption that the distribution of angle of orientation, behavior, and life history state of the measured population are representative of the target population (Sec.…”

Section: Errors Associated With the Estimation Of The Numerical Densimentioning

confidence: 99%

Broadband and statistical characterization of echoes from random scatterers : application to acoustic scattering by marine organisms

Lee¹

2013

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Differences in swimbladder volume between Baltic and Norwegian spring-spawning herring: Consequences for mean target strength

Cited by 24 publications

References 41 publications

Acoustic Classification of Freshwater Fish Species Using Artificial Neural Network: Evaluation of the Model Performance

Acoustic Classification of Freshwater Fish Species Using Artificial Neural Network: Evaluation of the Model Performance

Diel vertical interactions between Atlantic cod Gadus morhua and sprat Sprattus sprattus in a stratified water column

Broadband and statistical characterization of echoes from random scatterers : application to acoustic scattering by marine organisms

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