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Huse, Geir (2014): Spatially explicit estimates of length and biomass of Micromesistius poutassou (Blue Whiting) 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.827377, 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: 68.190141 * Median Longitude: 4.859155 * South-bound Latitude: 62.500000 * West-bound Longitude: -13.000000 * North-bound Latitude: 73.500000 * East-bound Longitude: 19.000000
Date/Time Start: 2009-05-15T00:00:00 * Date/Time End: 2009-05-15T00:00:00
Event(s):
MPW-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
Micromesistius poutassou abundance as Nautical Area Scattering CoefficientM. poutassou NASCm2/nmi2Huse, Geirafter MacLennan et al. (2002)
Micromesistius poutassou, biomassM. poutassou biomkg/km2Huse, GeirCalculated from nautical area scattering coefficient
Size:
284 data points

Data

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


Event

Latitude

Longitude

Date/Time

Code

Area [km2]

M. poutassou NASC [m2/nmi2]

M. poutassou biom [kg/km2]
MPW-2009 62.512009-056200000010200114170.0000000.000000
MPW-200962.532009-05620002001020011417100.0000000.004463
MPW-200962.5-12009-0562000200102011141717.0000000.000762
MPW-200962.552009-056200040010200570847.0000000.002098
MPW-200962.5-52009-056200060010201513769.0000000.002432
MPW-200962.5-72009-0562000800102013425477.0000000.016560
MPW-200962.5-92009-0562001000102016850313.0000000.010975
MPW-200962.5-112009-05620012001020111417283.0000000.010023
MPW-200963.512009-056300000010200110320.0000000.000000
MPW-200963.532009-0563000200102001103221.0000000.000941
MPW-200963.5-12009-056300020010201110327.0000000.000316
MPW-200963.5-52009-056300060010201110320.0000000.000000
MPW-200963.5-72009-0563000800102011103296.0000000.003333
MPW-200963.5-92009-0563001000102011103251.0000000.001789
MPW-200963.5-112009-0563001200102011103216.0000000.000564
MPW-200963.5-132009-05630014001020111032193.0000000.006889
MPW-200964.512009-056400000010200106447.0000000.000314
MPW-200964.532009-0564000200102001064447.0000000.002108
MPW-200964.552009-05640004001020010644103.0000000.004619
MPW-200964.5-132009-056400140010201212914.0000000.000500
MPW-200966.512009-056600000010200985910.0000000.000448
MPW-200966.532009-056600020010200985938.0000000.001711
MPW-200966.5-12009-05660002001020198593.0000000.000134
MPW-200966.552009-05660004001020098599.0000000.000403
MPW-200966.5-32009-05660004001020198591.0000000.000036
MPW-200966.572009-0566000600102009859140.0000000.006273
MPW-200967.512009-05670000001020094622.0000000.000089
MPW-200967.532009-05670002001020094622.0000000.000089
MPW-200967.5-12009-05670002001020194624.0000000.000177
MPW-200967.552009-05670004001020094624.0000000.000179
MPW-200967.5-32009-05670004001020194621.0000000.000044
MPW-200967.572009-05670006001020094621.0000000.000044
MPW-200967.592009-05670008001020094622.0000000.000088
MPW-200968.5112009-05680010001020086098.0000000.000345
MPW-200969.512009-05690000001020086593.0000000.000133
MPW-200969.532009-05690002001020086599.0000000.000398
MPW-200969.552009-05690004001020086599.0000000.000402
MPW-200969.572009-05690006001020086596.0000000.000261
MPW-200969.592009-05690008001020086596.0000000.000259
MPW-200969.5132009-05690012001020086594.0000000.000175
MPW-200969.5152009-056900140010200779317.0000000.000733
MPW-200969.5172009-056900160010200173211.0000000.000473
MPW-200970.512009-057000000010200825314.0000000.000619
MPW-200970.532009-057000020010200825315.0000000.000663
MPW-200970.552009-05700004001020082531.0000000.000045
MPW-200970.572009-057000060010200825312.0000000.000527
MPW-200970.592009-057000080010200825312.0000000.000526
MPW-200970.5112009-057000100010200825314.0000000.000612
MPW-200970.5132009-057000120010200825317.0000000.000744
MPW-200970.5152009-057000140010200825342.0000000.001834
MPW-200970.5172009-05700016001020082538.0000000.000350
MPW-200971.512009-057100000010200784510.0000000.000442
MPW-200971.532009-05710002001020078454.0000000.000179
MPW-200971.552009-05710004001020078451.0000000.000045
MPW-200971.572009-05710006001020078457.0000000.000307
MPW-200971.592009-05710008001020078459.0000000.000394
MPW-200971.5112009-057100100010200784516.0000000.000701
MPW-200971.5132009-057100120010200784537.0000000.001622
MPW-200971.5152009-057100140010200784533.0000000.001446
MPW-200971.5172009-057100160010200784548.0000000.002103
MPW-200972.572009-05720006001020074354.0000000.000176
MPW-200972.592009-057200080010200743516.0000000.000701
MPW-200972.5112009-057200100010200743518.0000000.000789
MPW-200972.5132009-057200120010200743516.0000000.000701
MPW-200972.5152009-057200140010200743537.0000000.001619
MPW-200972.5172009-0572001600102007435151.0000000.006607
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MPW-200973.592009-05730008001020070222.0000000.000088
MPW-200973.5112009-05730010001020070223.0000000.000132
MPW-200973.5132009-05730012001020070226.0000000.000263
MPW-200973.5152009-057300140010200702240.0000000.001750