Acoustic Surveys of Spawning Japanese Sardine, &lt;i&gt;Sardinops melanostictus&lt;/i&gt;, in the Waters off Western and Southern Kyushu, Japan

Ohshimo, Seiji; Mitani, Takumi; Honda, Satoshi

doi:10.2331/fishsci.64.665

Cited by 11 publications

(9 citation statements)

References 3 publications

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“…Hwang and Kao [20] reported that the Kuroshio volume transport northeast of Taiwan has a positive correlation with ENSO with a 1-month lag. Lanternfish were not observed in the present survey area were not observed [21], whereas the larvae of Diaphus spp. were observed in the waters near Taiwan [22] and in the shelf break area in the ECS [23] in winter.…”

Section: Discussioncontrasting

confidence: 57%

Biomass fluctuation of two dominant lanternfish Diaphus garmani and D. chrysorhynchus with environmental changes in the East China Sea

et al. 2011

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Section: Discussioncontrasting

confidence: 57%

Biomass fluctuation of two dominant lanternfish Diaphus garmani and D. chrysorhynchus with environmental changes in the East China Sea

et al. 2011

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“…Owing to the difficulty in identifying the fish species with an echo sounder, most studies that have estimated fish biomass by acoustic methods have examined only the dominant species in the East China Sea, for example, anchovy, 3,4 sardine, 5,6 and pearlside 8 . Studies of methods for species identification have shown that the fish schools can be digitally analyzed by using schooling characteristics, such as school width, height, distance from the bottom, distance from the sea surface and perimeter 13–15 .…”

Section: Discussionmentioning

confidence: 99%

“…There are some reports of acoustic surveys in the East China Sea, for anchovy, 3,4 sardine 5,6 and pearlside Maurolicus japonicus (previously known as M. muelleri ) 7,8 . These reports estimated the biomass of single species.…”

Section: Introductionmentioning

confidence: 99%

Spatial distribution and biomass of pelagic fish in the East China Sea in summer, based on acoustic surveys from 1997 to 2001

Ohshimo

2004

Fisheries Sci

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Annual acoustic surveys were conducted using a quantitative echo sounder (frequency: 38 kHz) in the East China Sea from July to September of 1997-2001. Three groups of fish were identified from the echograms, based on school shape and swimming depth characteristics: (i) anchovy Engraulis japonicus and round herring Etrumeus teres ; (ii) jack mackerel Trachurus japonicus and chub mackerel Scomber japonicus ; and (iii) lantern fish Diaphus spp. and pearlside Maurolicus japonicus . The area backscattering strength ( S a) of each group was divided by the total weight of fish species caught in midwater trawls. Anchovy, round herring, jack mackerel, lantern fish and pearlside were the most abundant. The estimated biomass indices of anchovy and round herring were positively correlated with the commercial landings of these species, indicating the usefulness of acoustic surveys.

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“…It amounts to summing the values along the transect lines and working on the 1-D data set made of the line sums. The 1-D method has been applied in different situations (ICES 1993;Williamson and Traynor 1996;Samb and Petitgas 1997;Ohshimo et al 1998). Petitgas (1993a) and discussed procedures for modeling coherently spatial structures estimated in 1-D and 2-D (i.e.…”

Section: Regularly Spaced Parallel Transects Continuously Sampled (Acmentioning

confidence: 99%

Geostatistics in fisheries survey design and stock assessment: models, variances and applications

Petitgas

2001

Fish and Fisheries

117

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Over the past 10 years, fisheries scientists gradually adopted geostatistical tools when analysing fish stock survey data for estimating population abundance. First, the relation between model‐based variance estimates and covariance structure enabled estimation of survey precision for non‐random survey designs. The possibility of using spatial covariance for optimising sampling strategy has been a second motive for using geostatistics. Kriging also offers the advantage of weighting data values, which is useful when sample points are clustered. This paper discusses, with fisheries applications, the different geostatistical models that characterise spatial variation, and their variance formulae for many different survey designs. Some anticipated developments of geostatistics related to multivariate structures, temporal variability and adaptive sampling are discussed.

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Acoustic Surveys of Spawning Japanese Sardine, <i>Sardinops melanostictus</i>, in the Waters off Western and Southern Kyushu, Japan

Cited by 11 publications

References 3 publications

Biomass fluctuation of two dominant lanternfish Diaphus garmani and D. chrysorhynchus with environmental changes in the East China Sea

Biomass fluctuation of two dominant lanternfish Diaphus garmani and D. chrysorhynchus with environmental changes in the East China Sea

Spatial distribution and biomass of pelagic fish in the East China Sea in summer, based on acoustic surveys from 1997 to 2001

Geostatistics in fisheries survey design and stock assessment: models, variances and applications

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