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Huse, Geir (2014): Spatially explicit estimates of length and biomass of Clupea harengus (Norwegian spring spawning herring) from acoustic and trawl surveys in the North-East Atlantic in May 2005 [dataset]. Institute of Marine Research, Bergen, PANGAEA, https://doi.org/10.1594/PANGAEA.827191, In supplement to: Huse, Geir; MacKenzie, Brian R; Trenkel, Verena M; Doray, Mathieu; Nøttestad, Leif; Óskarsson, Guomundur J (2015): Spatially explicit estimates of stock sizes, structure and biomass of herring and blue whiting, and catch data of bluefin tuna. Earth System Science Data, 7(1), 35-46, https://doi.org/10.5194/essd-7-35-2015

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Abstract:
Acoustic estimates of herring and blue whiting abundance were obtained during the surveys using the Simrad ER60 scientific echosounder. The allocation of NASC-values to herring, blue whiting and other acoustic targets were based on the composition of the trawl catches and the appearance of echo recordings. To estimate the abundance, the allocated NASC -values were averaged for ICES-squares (0.5° latitude by 1° longitude). For each statistical square, the unit area density of fish (rA) in number per square nautical mile (N*nm-2) was calculated using standard equations (Foote et al., 1987; Toresen et al., 1998). To estimate the total abundance of fish, the unit area abundance for each statistical square was multiplied by the number of square nautical miles in each statistical square and then summed for all the statistical squares within defined subareas and over the total area. Biomass estimation was calculated by multiplying abundance in numbers by the average weight of the fish in each statistical square then summing all squares within defined subareas and over the total area. The Norwegian BEAM soft-ware (Totland and Godø 2001) was used to make estimates of total biomass.
Further details:
Foote, KG; Knudsen, H P; Vestnes, G; MacLennan, David N; Simmonds, E J (1987): Calibration of acoustic instruments for fish density estimation: a practical guide. Ices Cooperative Research Report-Rapport des Recherches Collectives, 144, 69, https://doi.org/10.1121/1.396131
Toresen, R; Grøsaeter, H; de Barros, P (1998): The acoustic method as used in the abundance estimation of capelin (Mallotus villosus) and herring (Clupea harengus) in the Barents Sea. Fisheries Research, 34, 27-38, https://doi.org/10.1016/S0165-7836(97)00077-5
Totland, A; Godø, O (2001): BEAM – an interactive GIS application for acoustic abundance estimation. In T. Nishida, P.R. Kailola and C.E. Hollingworth (Eds): Proceedings of the First Symposium on geographic Information System (GIS) in Fisheries Science. Fishery GIS Research Group. Saitama, Japan
Funding:
Seventh Framework Programme (FP7), grant/award no. 264933: Basin Scale Analysis, Synthesis and Integration
Coverage:
Median Latitude: 69.490826 * Median Longitude: 10.100917 * South-bound Latitude: 62.500000 * West-bound Longitude: -11.000000 * North-bound Latitude: 74.500000 * East-bound Longitude: 39.000000
Date/Time Start: 2005-05-15T00:00:00 * Date/Time End: 2005-05-15T00:00:00
Event(s):
CHG-2005  * Comment: gridded data from North Atlantic surveys taken place in May 2005
Comment:
The research leading to these results received (partial/full) funding from the European Commission FP7 EURO-BASIN (European Basin-Scale Anal ysis, Synthesis, and Integration; Grant Agreement 264 933).
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Event labelEvent
LATITUDELatitudeGeocode
LONGITUDELongitudeGeocode
DATE/TIMEDate/TimeGeocode
CodeCodeHuse, Geirunique identifier of the grid
AreaAreakm2Huse, Geirof the grid
Clupea harengus abundance as Nautical Area Scattering CoefficientC. harengus NASCm2/nmi2Huse, Geirafter MacLennan et al. (2002)
Clupea harengus, biomassC. harengus biomkg/km2Huse, GeirCalculated from nautical area scattering coefficient
Size:
436 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


Event

Latitude

Longitude

Date/Time

Code

Area [km2]

C. harengus NASC [m2/nmi2]

C. harengus biom [kg/km2]
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CHG-200563.5-5.02005-05630006001020111032131.000011233.7245
CHG-200563.5-7.02005-0563000800102011103266.00005885.7135
CHG-200563.5-9.02005-0563001000102011103236.00003168.9866
CHG-200564.5-3.02005-05640004001020110644135.000011530.0087
CHG-200564.5-5.02005-05640006001020110644181.000015840.7164
CHG-200564.5-7.02005-05640008001020110644240.000021432.2656
CHG-200564.5-9.02005-05640010001020110644187.000016824.9301
CHG-200564.5-11.02005-05640012001020110644189.000016405.4485
CHG-200565.51.02005-0565000000102001025359.00004958.2761
CHG-200565.5-1.02005-05650002001020110253185.000015634.2836
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CHG-200565.5-7.02005-0565000800102011025377.00006642.7461
CHG-200565.5-9.02005-056500100010201102530.00000.0000
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CHG-200567.53.02005-056700020010200946284.00006611.4910
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CHG-200567.55.02005-0567000400102009462164.000012862.0792
CHG-200567.57.02005-056700060010200946247.00003598.5265
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CHG-200567.59.02005-056700080010200946222.00001589.7146
CHG-200567.5-7.02005-056700080010201946210.0000837.0472
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CHG-200568.5-1.02005-056800020010201906226.00002035.7338
CHG-200568.55.02005-0568000400102009062131.000010353.0897
CHG-200568.5-3.02005-05680004001020190621.000085.2068
CHG-200568.57.02005-0568000600102009062271.000018877.5743
CHG-200568.59.02005-0568000800102009062401.000027813.8206
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CHG-200569.5-3.02005-05690004001020186591.3788120.0379
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CHG-200569.59.02005-056900080010200865999.00006678.6634
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CHG-200569.513.02005-0569001200102008659352.000023936.7327
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CHG-200569.531.02005-056900300010200865975.00001942.7402
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CHG-200573.515.02005-05730014001020070229.4384792.4869
CHG-200573.517.02005-057300160010200702256.00004708.1858
CHG-200574.513.02005-057400120010200660785.39607154.8952
CHG-200574.515.02005-057400140010200660714.53211217.5655
CHG-200574.517.02005-057400160010200660769.22485805.6319