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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 2009 [dataset]. Institute of Marine Research, Bergen, PANGAEA, https://doi.org/10.1594/PANGAEA.827221, 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: 67.430000 * Median Longitude: 4.060000 * South-bound Latitude: 62.500000 * West-bound Longitude: -13.000000 * North-bound Latitude: 72.500000 * East-bound Longitude: 33.000000
Date/Time Start: 2009-05-15T00:00:00 * Date/Time End: 2009-05-15T00:00:00
Event(s):
CHG-2009  * Comment: gridded data from North Atlantic surveys taken place in May 2009
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:
400 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-200962.55.02009-05620004001020057082.0000156.8608
CHG-200962.5-3.02009-0562000400102011141773.00005767.6092
CHG-200962.5-5.02009-056200060010201513791.00007425.9639
CHG-200963.51.02009-0563000000102001103213.00001024.3302
CHG-200963.53.02009-0563000200102001103291.00007137.1520
CHG-200963.5-1.02009-05630002001020111032202.000016093.4886
CHG-200963.55.02009-0563000400102001103227.00002117.6179
CHG-200963.5-3.02009-0563000400102011103252.00004187.0472
CHG-200963.5-5.02009-05630006001020111032127.000010433.3430
CHG-200963.5-7.02009-05630008001020111032161.000013138.2440
CHG-200963.5-9.02009-0563001000102011103288.00007181.1503
CHG-200963.5-11.02009-0563001200102011103242.00003418.4217
CHG-200963.5-13.02009-056300140010201110325.0000405.5853
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CHG-200964.53.02009-0564000200102001064458.00004553.4100
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CHG-200964.55.02009-056400040010200106443.0000235.3407
CHG-200964.5-3.02009-05640004001020110644188.000014747.6063
CHG-200964.5-5.02009-0564000600102011064452.00004272.4840
CHG-200964.5-7.02009-05640008001020110644124.000010189.2050
CHG-200964.5-9.02009-05640010001020110644162.000013291.7006
CHG-200964.5-11.02009-05640012001020110644240.000019653.4013
CHG-200964.5-13.02009-05640014001020121293.0000243.3518
CHG-200965.51.02009-05650000001020010253606.000047917.6674
CHG-200965.53.02009-05650002001020010253260.000020574.0973
CHG-200965.5-1.02009-05650002001020110253326.000025733.1538
CHG-200965.55.02009-05650004001020010253154.000011816.1619
CHG-200965.5-3.02009-05650004001020110253146.000011325.3786
CHG-200965.5-5.02009-05650006001020110253181.000014613.6080
CHG-200965.5-7.02009-05650008001020110253248.000020310.5358
CHG-200965.5-9.02009-05650010001020110253254.000020976.4851
CHG-200965.5-11.02009-05650012001020110253102.00008460.7775
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CHG-200966.5-1.02009-0566000200102019859320.000025194.7729
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CHG-200966.5-3.02009-0566000400102019859393.000030538.3460
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CHG-200966.5-7.02009-0566000800102019859282.000022940.2912
CHG-200966.5-9.02009-0566001000102019859267.000022119.0099
CHG-200966.5-11.02009-0566001200102019859138.000011563.5527
CHG-200967.51.02009-0567000000102009462202.000015795.5882
CHG-200967.53.02009-0567000200102009462189.000014383.4945
CHG-200967.5-1.02009-0567000200102019462348.000027259.6040
CHG-200967.55.02009-0567000400102009462187.000014262.6762
CHG-200967.5-3.02009-0567000400102019462183.000014423.9924
CHG-200967.57.02009-0567000600102009462218.000016451.3162
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CHG-200970.523.02009-057000220010200413217.615112905.4776
CHG-200970.531.02009-0570003000102003714117.00004591.7676
CHG-200970.533.02009-05700032001020082531.000038.5411
CHG-200971.59.02009-05710008001020078450.01451.0745
CHG-200971.513.02009-057100120010200784530.00002050.9581
CHG-200971.521.02009-057100200010200784575.00004654.2836
CHG-200971.523.02009-0571002200102007845177.000010807.9499
CHG-200971.525.02009-057100240010200706124.00001404.6447
CHG-200971.527.02009-0571002600102007061129.000010186.5929
CHG-200971.529.02009-057100280010200745389.00007041.5317
CHG-200971.531.02009-057100300010200784520.0000700.7863
CHG-200972.513.02009-057200120010200743561.00004475.9901
CHG-200972.515.02009-05720014001020074350.00000.0000
CHG-200972.525.02009-05720024001020074352.0000135.7368
CHG-200972.531.02009-05720030001020074352.000078.3692