International Council for the
Exploration of the Sea
ICES CM 2001/T:03
Use and Information Content of Ecosystem Metrics and Reference Points
The IBTS database: a plea for quality control
Niels Daan
Netherlands Institute for Fisheries Research
Abstract
The IBTS database as maintained at ICES Headquarters has been submitted to a quality check with reference to reported
size distributions and species identifications. The check is based largely on a comparison of reported size distributions
with available information on maximum length in the literature and on consistency in species compositions reported by
individual countries (and sometimes years and areas). The results are alarming. For a large number of species the
database contains unrealistic information. In many cases errors may be tracked to simple input errors, but clearly there
have also been, and still are, severe species identification problems among all countries participating in the survey.
Misidentifications involve errors in abundance of at least two species and, based on the limited analysis presented, a
conservative guess is that at least 30% of all species reported may be affected. This not only means that trends in
abundance of individual species may be biased, but, more importantly, it reduces the value of the IBTS database for
diversity studies of the North Sea fish community to virtually zero. I present a strong plea for a comprehensive check of
all data in the existing database, with an appropriate correction of uncertain identifications to higher taxa to reflect
inherent uncertainties, and to embark on a serious quality control programme to ensure that future surveys yield only
reliable information at the species level. The scientific credibility of ICES is at stake, because it is a waste to maintain a
flawed database at ICES Headquarters.
----------
Introduction
The International Bottom Trawl Surveys in the
North Sea and Skagerrak/Kattegat represent a
frontispiece of international cooperation within
ICES. The origin traces back to 1960/1961 when
several countries participated in an one-off joint
project to delineate the distribution of juvenile
herring and whiting (ICES, 1963; Gamble et al.,
1962). Realizing the value of annual recruitment
estimates of herring for management advice, the
Netherlands and Germany took the initiative for
a pilot study in February 1966 for monitoring
surveys (Zijlstra, 1966). Gradually, other
countries joined the project by reserving a
considerable amount of ship time in their annual
cruise programmes. By 1975, 9 countries were
involved and the whole North Sea area between
52° to 61°30’N within the 250 m line was
covered (Heessen et al., 1997). The
Skagerrak/Kattegat was sampled from 1980
onwards.
The primary objective of the survey has
changed from being directed towards juvenile
herring to a general young fish survey that
yielded recruitment estimates for seven
commercial species. Much effort has been spent
on standardisation of the gear and fishing
methods and sampling, and the information
collected is regularly used by several ICES stock
assessment working groups. However, the
surveys represent also an important source of
information on a wide variety of other fish
species, because the entire fish catch has
routinely been sorted and measured. To
underline the change in emphasis, the name of
the survey has been changed over time from
International Young Herring Survey, through
International Young Fish Survey to International
Bottom Trawl Survey. The ICES Secretariat is
directly involved by maintaining the extensive
database, which now includes all information
collected from 1965 onwards. The data have, for
instance, been used in preparing the Atlas of
North Sea Fishes (Knijn et al., 1995) and
comprehensive analyses of fish community
metrics have been made by the Working Group
on Ecosystem Effects of Fishing (ICES, 1996).
Recently, I have used, among other survey
data, the IBTS data base for an analysis of a
rarity index based on relative differences in
abundance and distribution of fish (Daan, 2001).
In contrast to recruitment estimates for
commercial species, which are relatively
insensitive to incidental mistakes in input data
because of the large amount of reliable
information, this type of application is highly
sensitive to consistent and correct species
identifications. If a rare species is not recognised
in the catch, its relative rarity will be
overestimated, while an incorrectly attributed
species name will result in underestimated
rarity.
Upon entry into the IBTS database, the data
submitted by individual countries are subjected
to extensive checks for appropriate coding, but
there have been no checks on unlikely NODC
species codes. Species identification is left
completely to the responsibility of the
-2-
participants and data submitted are supposed to
be correct. However, in analysing the data, it
became increasingly obvious that the data can
not always be used at face value and major
corrections, based on expert judgement, were
required to avoid nonsensical results. While it is
often clear that that there must be a mistake, the
appropriate correction is less obvious and
depends on the nature of the error. Sometimes
the mistake can be traced to an input error by
checking against the original data sheet. In other
cases, there appear to have been more or less
systematic errors in species identification. In
practice, the only option is often to delete such
records entirely. This is unsatisfactory for three
reasons: (1) two independent analyses of the
same data base may give different results if
expert judgements differ; (2) misidentifications
affect estimates of abundance and distribution of
two species; (3) deleting species records
markedly affects community metrics such as
number of species caught per haul.
Tracking species identification problems is
not straightforward. My aim here is to provide
examples of clearly aberrant data based on
general knowledge of maximum size and rarity
of individual species, and on inconsistencies
between size compositions of related species
recorded by different countries. The analysis
does not pretend to provide a comprehensive
account of all existing problems, but rather to
indicate the kind of quality control that is
required before the IBTS data base can be trusted
as a basis for any analysis of the North Sea fish
community.
Methods
The database including information from 1965
up to and including the 1st quarter of 1998 was
transferred to SAS and linked with published
information on maximum length (Lmax)
according to Wheeler (1978). Invalid hauls and
records with invalid species codes were deleted
before analysis. Table 1 provides a summary of
the number of hauls in which a particular taxon
has been recorded, the total number of
individuals, minimum and maximum size and
Lmax. Altogether, 209 different NODC codes
were encountered in 1623772 records. In bold I
have indicated where problems have been
encountered.
For some species pairs that are
notorious for misidentification problems, more
detailed analyses were made of the length
compositions by country, year or area to
investigate potential inconsistencies in reporting
frequency distributions.
Where possible, the problematic species
records encountered are indicated by ship, year
and haul number. As far as Dutch data were
IBTS quality control
involved, I went one step further and checked
the records against the original data sheets to see
whether it was possible to correct the records.
Results
1. Redundant codes
Some species have been reported at different
levels of aggregation (species, genus and/or
family). In many cases, there may be a good
reason for doing this, if a genus is represented
by more species, or a family by more genera,
and if the responsible scientist felt unable to
identify the species individually. However, it is
common in scientific studies to ‘identify to the
lowest possible taxon’. Thus, if there is only one
species per genus present in the North Sea (or
one genus per family), the higher codes are
redundant, because they imply effectively the
same species or genus. There are 16 such codes
(Table 2). Although the use of these may not be
considered a real mistake, it means that any
analysis requires additional pre-processing of
the data to get rid of redundant codes and to
narrow down the number of taxa reported.
2. Rare species
All species recorded belong to the North Sea
fauna according to the available guides, and the
possibility that these have actually been caught
cannot be rejected a priori. Nevertheless, some
caution seems required, because one would
normally seek confirmation of apparently
extremely rare species from taxonomists and
there is plenty of room for mistakes. The nature
of these surveys requires frequent exchange of
scientific crews and not all scientists may be
equally good in species identification.
Moreover, electronic input from the original
data sheets is usually done by people who have
little or no idea of what they are entering. Table
3 provides a list of rare species records.
Although the entire list should be scrutinised
against the original data, I will discuss a few
outstanding problems:
• 8713030105/Torpedo marmorata: The two
marbled electric rays stemmed from two consecutive
hauls of Tridens in 1975. The original data sheets
revealed a misreading of an uncommon Dutch name
for Raja clavata.
• 8713040158/Raja undulata: The sizes of the two
undulate rays reported by Scotland and England
suggest that these were newly hatched individuals,
when characteristics normally reported in text books
are not well developed.
• 8784010600/Lepadogaster spp.: There are two
species of this genus of clingfish, both of which are
distributed outside the North Sea (Wheeler, 1978).
-3-
IBTS quality control
The one specimen recorded by France exceeds the
maximum length by a factor 3!
• 8791932002/Gaidropsurus mediterraneus: Of the
20 shore rocklings reported by Germany (none by
other countries), 6 exceeded the max length of 25 cm!
The catches are centred in the 1983 and 1988 cruises,
which suggests that the problem might be traced to a
single scientist.
• 8794011502/Trachyrhynchus
murrayi:
The
roughsnout rat-tails reported by Scotland (11-15 cm)
are extremely small for this species. It seems more
likely that these reflect an input error by confusion
with Triglops murrayi (5-15 cm), which are more
commonly reported from the same area.
• 8813010000/Lampridae: The 44 specimens of
(implied) Lampris guttatus reported by France in 3
years stand out exceptionally among none reported by
any of the other countries. My hypothesis is that these
opah represent input errors, where lampreys have
possibly been misread for Lampridae.
• 8831090310/???: The unknown code submitted by
the Netherlands could be traced to an input error:
should read 8831090831/Liparis montagui.
• 8842121801/Leptoclinus maculatus: Of the 23
spotted snake blennies (12-34 cm) reported by 4
countries, 12 were in excess of Lmax (20 cm). The
length distribution fits more closely that of Lumpenus
lampretaeformis (5-41 cm), which belongs to the same
family.
• 8847016601/Aphia minuta: Of 44 specimens
reported, 28 stem from a single haul made by Sweden,
which were all larger than 38 cm! This is obviously an
error. The other 16 were either 3 or 4 cm and there is
little reason to distrust these data.
these may reflect input errors (as found in some
Dutch records). Moreover, regular excess of
Lmax might indicate further identification
problems. I provide a few extreme examples
here:
• 8713040134/Raja radiata: Several countries have
reported large starry rays of up to over 1 m, which
would seem exceptional. However, among the
different data sets, Scotland reported by far the most
specimens over 60 cm (Table 5), which could be
traced back to a single year (1989). Clearly, in that
year the entire length distribution deviated from the
usual pattern observed and it would seem likely that
some error is involved.
• 8818010000/Gasterosteidae: Two species of
sticklebacks occur in the North Sea, Gasterosteus
aculeatus and Spinachia spinachia.. The latter is
considered extremely rare. Nevertheless, table 1
suggests that it is fairly common with 945 reported.
Table 6 provides the length distributions of
sticklebacks for selected countries. In the case of G.
aculeatus there are a few outliers. The Dutch catch of
120 specimens of 10 cm long turned out to be a
transcription error during electronic input. For S.
spinachia, 8 specimens of a totally unrealistic size
were reported by Denmark. The other 10 reported by
Denmark correspond to a normal size range of the
species. Remarkably, France has reported only 6 G.
aculeatus and extremely large numbers of S.
spinachia within the size range occupied by G.
aculeatus. Norway and Scotland have reported
Gasterosteidae and according to the length
distribution, there seems to be little doubt that these
have actually been G. aculeatus.
•
8831022207/Myoxocephalus
scorpius
–
8831024601/Taurulus bubalis: The sea scorpion T.
3. ‘Undersized’ species
The trawling gear used (GOV - ‘Grande
Ouverture Verticale’) has a 2-cm (stretched mesh
size) liner, through which fish larvae should
generally escape. Thus, fish below 3 cm might
reflect input errors (Table 4). In all 5 cases,
where the record stemmed from a Dutch vessel,
the record could be traced to an input error.
Moreover, due to a programming error in
translating input files into exchange format, a
value for size class 1 had the additional effect
that the rest of the length distribution of that
species was skipped. The impact of this error
was actually more serious than the small one we
were looking for!
bubalis is a small (Lmax=17 cm) and rare species that
may be easily overlooked. Unexpectedly, England,
France, Germany, Scotland and Sweden all report
large fractions, which moreover exceed the Lmax by
a considerable amount (Table 7). Only the Dutch
length distribution corresponds to the known size
range. Denmark and Norway have not reported this
species, but their catches of bull-rout M. scorpius
have been relatively small and based on the fraction
reported by the Netherlands, Denmark would have
been expected to have caught only one or two. France
does not report Myoxocephalus, but only Taurulus!
There is obviously something completely wrong with
the identification of this species pair in most
countries. Although the positive identification of T.
bubalis by the Netherlands is confirmed by several
photographs, there remains uncertainty whether all
sea scorpions have been recognized, especially during
earlier years.
4. ‘Oversized’ species
The recorded length distributions of many
species exceed the given Lmax, often by a
considerable amount (Table 1). Although the
reported Lmax may not be infallible, it would
seem worthwhile in most of these cases to check
the original data carefully, because many of
• 8845010000/Ammodytidae: Sandeel species are
notoriously difficult to identify, although it is
relatively easy to distinguish the genus Hyperoplus
from Ammodytes (Table 8). In practice, relatively
large proportions have been assigned to genus or
family only by most countries. For those countries
reporting individual Ammodytes species, it seems odd
-4-
IBTS quality control
that A. tobianus exceeds A marinus in length, although
its published Lmax is smaller. The very large
Ammodytes of over 40 cm are undoubtedly
Hyperoplus. Hyperoplus provides another problem,
because there are severe inconsistencies in the fraction
of H. lanceolatus and H. immaculatus reported by
individual countries:
-----------------------------------------------------------------DENENG FRA
H.lance.5384 120658
H.imma. 0
0
GFR NED NOR
23244104643156997
187976
0
0
SCO SWE
1020 72331 15802
0 8223
0
• 8846010100/Callionymus spp.: The length
distributions of the 3 species of dragonets present in
the North Sea (Table 9a) indicate that all species
exceed the Lmax reported in the literature. This
suggests that at least the Lmax of C. lyra is
underestimated, because confusion with other species
seems unlikely. However, for both C. maculatus and
C. reticulatus it seems highly unlikely that the tail
ends of the distributions have been identified
correctly, because they exceed Lmax by 100% and
50% respectively. Table 9b provides some details of
the fractions of the three species reported by
individual countries by area (southern and northern
North Sea and for the Skagerrak/Kattegat). There are
some striking inconsistencies. C. reticulatus is only
reported frequently by the Netherlands, particularly in
the southern North Sea, and rarely by England and
Scotland. C. maculatus is extremely rare in the south
according to the Netherlands, but less so according to
Denmark, England and Germany. In the northern part,
Germany reports more than 50% C. maculatus. There
are also marked trends in the fractions of the 3 species
reported by year and country, which likely reflect
differences in identification criteria than in actual
abundance. [NB.: C. reticulatus has been discovered
only recently in the North Sea and Muus (1966) did
not mention the reticulated dragonet; the Dutch
revised version, Muus et al. (1999), has transposed the
Dutch names going with the plates and texts, adding to
the confusion! This may also apply to other
translations).
• 8858010801/Buglossidium luteum: Table 10
provides the length compositions of the catch reported
by Scotland and by all other countries combined,
indicating that a single country is responsible for the
extensive tail to 100% above Lmax. Most likely, this
species has been confused with other Soleid.ae
Apart from misidentifications, some unlikely
sizes may occur as a consequence of input errors.
Table 11 lists records (by country) with unlikely
sizes (criterion: >10% over Lmax) that remain
after excluding records with clear problems
caused by the misidentifications dealt with
above. As far as Dutch data are concerned, these
could often be tracked down to input errors.
Other problems
• 8708020400/Mustelus spp.: Table 12 lists the total
numbers of unidentified, common and starry
smoothounds reported by survey. Not only are the
total catches highly variable, but species composition
appears to shift markedly from survey to survey.
Although this may not be entirely impossible, the
results certainly do suggest that species identification
reflects differences in ‘preference’ of the responsible
scientists in this case.
• 8747010100/Alosa spp.: Alewives A. alosa
interbreed with A. fallax (Redeke, 1941), which is
much more common in the North Sea. Although the
number of gill rakers provides a reliable
distinguishing feature, it is more common to find
intermediate numbers of gill rakers than a number that
fits entirely into the A. alosa range. The number of
black spots is also often used for identification, but
this characteristic is unreliable. The following table
provides the number of the two species reported by
individual countries:
----------------------------------------------------------------DEN ENG
A. alosa
1
A. fallax
4971
FRA
20
5
GFR NED NOR
8
88
0
97
26 10744
SCO SWE
22
4
0
0
11 17872
----------------------------------------------------------------This shows quite clearly that there is a major
inconsistency in the fraction of the two species
reported between England, Germany and Norway on
the one hand and Denmark, the Netherlands and
Sweden on the other.
Discussion
Although it is not always possible on the basis
of the data presented to conclude which
identifications can be trusted, the large and
varying discrepancies between countries in their
reports of a wide variety of species indicate that
most of the participants in the IBTS have
experienced and still experience severe
problems with particular species identifications.
This analysis suggests that at least 20 species
pairs present problems, thus affecting the
reliability of twice that number of species (i.e.,
some 30% of the total fish community!). My
overall conclusion is therefore that the existing
database cannot be used at present to obtain
reliable information on changes in abundance
and distribution for many species reported.
Although the inconsistencies clearly indicate
national problems, in practice there may be
inconsistencies within countries, because
scientific crews vary between cruises. However,
a full account of all inconsistencies requires a
much more comprehensive analysis.
Input errors can be relatively easily
corrected. However, it seems unlikely that we
will be able to correct all misidentifications of
the past. Moreover, even if positive
identifications of rare species can be trusted, this
does not necessarily mean that these species
have always been recognised. In those cases, the
only proper solution would be to revise the
NODC codes to reflect a higher taxonomic unit
to meet the common scientific criterion of
‘identification to the lowest possible level’. For
further analysis, the data sets considered reliable
may then be used to redistribute the higher taxa
IBTS quality control
over the constituent species, but from a scientific
point of view it is frustrating that so much
information will have to be thrown out, because
this devalues the database considerably.
The ICES database is presently
available upon request to individual scientists
who want to perform particular analyses. In my
opinion, ICES should be extremely restrictive in
allowing further analyses of community metrics
at this stage, because diversity estimates are
directly and strongly affected by the present poor
quality of the database.
In conclusion, there are two urgent
matters to be resolved:
1. The historic data must be scrutinised by the
responsible national laboratories, under the
auspices of the IBTS WG, so that the database at
ICES Headquarters contains only trustworthy
information and can be used for comprehensive
analyses;
2. The IBTS Working Group must ensure the
collection of reliable information for all species
during future surveys; this requires a reinvestment in taxonomic knowledge by research
directors of national laboratories and exchange
of knowledgeable scientists among ships. Only
inter-calibration among participants will remove
the existing discrepancies.
References
Daan, N. 2001. A spatial and temporal diversity index
taking into account species rarity, with an
application to the North Sea fish community.
ICES CM 2001/xx:yy.
Gamble, R., Garrod, D. J., Hannerz, L., Knudsen, H.,
Kuiter, K., Messtorff, J., and Sahrhage, D. 1962.
Report on the International Whiting surveys of the
North Sea in 1960 and 1961. ICES CM
1962/NNSC:5.
Heessen, H. J. L., Dalskov, J., and Cook, R. M. 1997.
The International Bottom Trawl Survey in the
North Sea, the Skagerrak and Kattegat. ICES CM
1997/Y:31.
ICES, 1963. International Young Herring Surveys,
Report of Working Group Meeting in IJmuiden,
26-27 March , 1963. ICES CM 1963/HC:101.
ICES, 1996. Report of the Working Group on
Ecosystem Effects of Fishing Activities, ICES
Headquarters, 13-21 March 1996. ICES CM
1996/Assess/Env:1.
Knijn, R. J., Boon, T., Heessen, H. J. L., and Hislop, J.
R. G. 1993. Atlas of North Sea fishes. ICES
Cooperative Research Report, 194. 268 pp.
Muus, B. J. 1966. Zeevissengids. Elsevier,
Amsterdam/Brussel.
Muus, B. J., Nielsen, J. G., Dahlstrøm, P., and
Nystrøm, B. O. 1999. Zeevissen van Noord- en
West-Europa. Schuyt en Co., Haarlem.
Redeke, H. C. 1941. De Visschen van Nederland. A.
W. Sijthoff, Leiden.
Wheeler, A. 1978. Key to the Fishes of Northern
Europe. Frederick Warne Ltd, London.
-5-
Zijlstra, J. J. 1966. Report on the pilot-study for future
young herring research in the North Sea. ICES
CM 1966/H:9.
-6-
IBTS quality control
Table 1. Listing of NODC codes, nr of positive hauls (n), total number (N), minimum (min) and
maximum (max) of length distribution and reported maximum length (Lmax). NB.: Problematic items
are bolded in all tables!.
Obs NODC
Name
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
Lampetra spp.
Lampetra fluviatilis
Petromyzon spp.
Petromyzon marinus
Myxine glutinosa
Lamna nasus
Scyliorhinidae
Galeus melastomus
Scyliorhinus spp.
Scyliorhinus canicula
Scyliorhinus stellaris
Galeorhinus galeus
Mustelus spp.
Mustelus asterias
Mustelus mustelus
Squalidae
Somniosus microcephalus
Squalus acanthias
Etmopterus spinax
Torpedo marmorata
Rajidae
Raja spec.
Raja radiata
Raja brachyura
Raja montagui
Raja batis
Raja fullonica
Raja circularis
Raja naevus
Raja lintea
Raja undulata
Raja clavata
Dasyatis pastinaca
Chimaera monstrosa
Anguillidae
Anguilla anguilla
Conger conger
Alosa spp.
Alosa alosa
Alosa fallax
Clupea harengus
Sprattus sprattus
Sardina pilchardus
Engraulis encrasicolus
Salmo spp.
Salmo salar
Salmo trutta
Osmerus eperlanus
Argentinidae
Argentina
Argentina silus
Argentina sphyraena
Maurolicus muelleri
Myctophidae
Lepadogaster spp
Diplecogaster bimaculata
Lophiidae
Lophius piscatorius
Lophius budegassa
Gadus morhua
Pollachius virens
Pollachius pollachius
Brosme brosme
Melanogrammus aeglefinus
Rhinonemus cimbrius
Phycis blennoides
Trisopterus minutus
Trisopterus luscus
8603010200
8603010217
8603010300
8603010301
8606010201
8707040302
8708010000
8708010203
8708010300
8708010306
8708010307
8708020102
8708020400
8708020408
8708020409
8710010000
8710010102
8710010201
8710010510
8713030105
8713040000
8713040100
8713040134
8713040138
8713040141
8713040143
8713040146
8713040147
8713040148
8713040153
8713040158
8713040159
8713050111
8716020202
8741010000
8741010102
8741120111
8747010100
8747010107
8747010109
8747010201
8747011701
8747012201
8747020104
8755010300
8755010305
8755010306
8755030301
8756010000
8756010200
8756010203
8756010209
8759010501
8762140000
8784010600
8784010701
8786010000
8786010103
8786010104
8791030402
8791030901
8791030902
8791031101
8791031301
8791031501
8791031602
8791031701
8791031702
n
N
min
max
4
25
3
17
440
2
1
14
3
754
3
115
6
72
64
22
1
1914
19
2
25
51
4892
24
330
65
23
17
853
2
2
731
4
61
2
107
7
4
19
157
14053
9071
241
468
1
4
13
85
225
73
490
1784
706
2
1
2
121
2343
5
14488
2797
523
287
11194
1976
25
4924
1233
8
66
6
36
8224
4
2
165
4
4953
10
670
248
382
451
142
2
25774
68
4
126
226
61121
89
2263
155
47
51
4299
3
3
12285
12
643
4
363
12
7
138
16981
56839553
52556018
160749
155532
2
6
31
5005
23668
5490
13977
145197
132256
430
2
3
262
7613
6
1001253
167395
6928
1074
14634290
42693
64
305288
62722
30
23
30
16
9
200
73
13
50
7
11
25
39
24
31
27
137
10
20
85
11
10
3.5
15
11
9
30
47
9
51
9
6
14
9
14
6
63
10
9
7
0.5
0.5
6
1
56
50
27
4
4
5
6
4
2
5
20
3
12
7
20
1
10
6
8
3
3
15
1
2
34
39
35
62
79
220
73
77
66
81
65
165
110
101
110
112
137
148
48
85
65
84
100
98
102
161
93
102
106
70
11
105
67
87
14
100
120
22
40
49
44
50
31
21
56
85
60
27
31
25
46
28
12
7
20
4
89
120
65
140
118
100
90
87
45
70
35
45
Lmax
5
60
60
300
75
100
152
167
180
160
640
122
60
60
76
113
75
285
120
120
70
120
85
106
150
100
274
60
55
43
17
25
20
150
140
30
56
27
7
7
4
200
82
(150)
130
130
110
76
41
75
26
41
-7-
IBTS quality control
69 8791031703
70 8791031801
71 8791031901
72 8791031902
73 8791032000
74 8791032001
75 8791032002
76 8791032100
77 8791032101
78 8791032201
79 8791032301
80 8791032401
81 8791032402
82 8791032501
83 8791040000
84 8791040105
85 8792020202
86 8793010000
87 8793010513
88 8793010700
89 8793010724
90 8793012001
91 8794010117
92 8794011502
93 8803020502
94 8803030201
95 8811030301
96 8811060301
97 8813010000
98 8818010000
99 8818010101
100 8818010501
101 8820020000
102 8820020100
103 8820020119
104 8820020120
105 8820020123
106 8820022101
107 8820022202
108 8826010139
109 8826010151
110 8826010175
111 8826010301
112 8826010628
113 8826020000
114 8826020501
115 8826020601
116 8826020701
117 8826020801
118 8831020000
119 8831020308
120 8831022200
121 8831022207
122 8831023807
123 8831024601
124 8831024602
125 8831080801
126 8831080803
127 8831090000
128 8831090310
129 8831090800
130 8831090828
131 8831090831
132 8831091501
133 8835280103
134 8835430000
135 8835430804
136 8835431201
137 8835450202
138 8835720100
139 8835720101
140 8836010000
141 8836010704
142 8836010902
143 8839013301
144 8839013501
145 8839013603
Trisopterus esmarki
Merlangius merlangus
Molva molva
Molva dipterygia
Gaidropsurus spp.
Gaidropsurus vulgaris
Gaidropsurus mediterraneus
Gadiculus
Gadiculus argenteus
Micromesistius poutassou
Raniceps raninus
Ciliata mustela
Ciliata septentrionalis
Onogadus argenteus
Merlucciidae
Merluccius merluccius
Echiodon drummondi
Zoarcidae
Lycenchelys sarsi
Lycodes spp.
Lycodes vahli
Zoarces viviparus
Coryphaenoides rupestris
Trachyrhynchus murrayi
Belone belone
Scomberesox saurus
Zeus faber
Capros aper
Lampridae
Gasterosteidae
Gasterosteus aculeatus
Spinachia spinachia
Syngnathidae
Syngnathus
Syngnathus rostellatus
Syngnathus acus
Syngnathus typhle
Entelurus aequoraeus
Nerophis ophidion
Sebastes marinus
Sebastes mentella
Sebastes viviparus
Helicolenus dactylopterus
Scorpaena scropha
Triglidae
Trigla lucerna
Eutrigla gurnardus
Trigloporus lastoviza
Aspitrigla cuculus
Cottidae
Artediellus atlanticus
Myoxocephalus spp.
Myoxocephalus scorpius
Triglops murrayi
Taurulus bubalis
Micrenophrys lilljeborgi
Agonus decagonus
Agonus cataphractus
Cyclopteridae
????
Liparis spp.
Liparis liparis
Liparis montagui
Cyclopterus lumpus
Trachurus trachurus
Sparidae
Pagellus erythrinus
Spondyliosoma cantharus
Mullus surmuletus
Dicentrarchus spp.
Dicentrarchus labrax
Mugilidae
Chelon labrosus
Liza aurata
Symphodus melops
Ctenolabrus rupestris
Labrus bergylta
7984
15776
1540
13
9
119
7
1
600
627
21
133
11
1
4
1983
18
3
70
2
532
123
8
2
44
1
60
25
5
8
274
17
79
1
53
55
5
16
1
26
1
480
538
1
68
463
8811
1
268
41
1
1
888
39
143
4
2
1706
2
1
13
235
9
1480
3375
3
2
32
368
2
40
4
13
3
2
1
5
54780446
24095531
7733
21
73
626
20
47
94968
607111
42
880
25
6
48
19891
50
25
474
6
52105
2529
38
3
133
2
146
51
44
36
8286
945
424
2
292
918
12
36
2
392
2
8292
7842
6
5490
4904
1366548
8
2851
183
2
48
16613
83
2744
8
16
28806
6
6
304
2307
43
5609
3856033
6
3
375
12041
10
162
18
134
8
12
2
9
3
1
4
28
6
2
17
9
3
1
5
5
5
24
24
6
10
18
7
21
2
8
38
11
15
37
6
6
24
5
3
4
6
13
6
7
12
9
13
12
50
5
3
18
7
4
2
18
7
8
6
18
4
5
2
5
8
3
7
7
5
4
4
4
1
9
19
6
4
30
9
12
40
38
6
3
10
32
64
155
139
27
47
29
9
19
51
16
53
15
24
49
103
31
32
20
23
33
32
80
15
81
37
43
12
31
7
16
43
42
13
26
47
16
44
13
43
50
41
23
28
44
54
49
18
43
31
6
18
37
15
31
10
12
26
9
8
14
35
9
58
53
36
35
36
39
38
56
60
69
56
12
3
35
25
70
200
150
53
35
15
45
30
25
18
45
180
32
19
52
50
100
51
94
50
60
16
150
10
20
17
47
30
61
30
100
30
46
51
75
45
36
40
13
30
17
18
8
22
21
18
10
60
50
60
51
40
100
75
45
25
18
60
-8-
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
IBTS quality control
8839013605
8840060101
8840060102
8842010100
8842020000
8842020100
8842020102
8842020103
8842020104
8842120000
8842120905
8842121801
8842130209
8845010000
8845010100
8845010105
8845010106
8845010201
8845010300
8845010301
8845010302
8846010000
8846010100
8846010106
8846010107
8846010120
8847010000
8847011300
8847011316
8847014901
8847015100
8847015101
8847015103
8847016601
8847016700
8847016702
8850030302
8857030000
8857030402
8857030403
8857031700
8857031702
8857031703
8857031706
8857032101
8857032200
8857032201
8857032202
8857032302
8857040502
8857040603
8857040904
8857041202
8857041402
8857041502
8857041902
8858010000
8858010600
8858010601
8858010610
8858010800
8858010801
8858010900
8858010903
Labrus mixtus
Echiichthys vipera
Trachinus draco
Blennius spp.
Anarhichaidae
Anarhichas spp.
Anarhichas denticulatus
Anarhichas lupus
Anarhichas minor
Lumpenidae
Lumpenus lampretaeformis
Leptoclinus maculatus
Pholis gunnellus
Ammodytidae
Ammodytes spp.
Ammodytes tobianus
Ammodytes marinus
Gymnammodytes semisquamatus
Hyperoplus spp.
Hyperoplus lanceolatus
Hyperoplus immaculatus
Callionymidae
Callionymus
Callionymus lyra
Callionymus maculatus
Callionymus reticulatus
Gobiidae
Gobius spp.
Gobius niger
Crystallogobius linearis
Pomatoschistus spp.
Pomatoschistus minutus
Pomatoschistus microps
Aphia minuta
Lesueurigobius spp.
Lesueurigobius friesii
Scomber scombrus
Scophthalmidae
Psetta maxima
Scophthalmus rhombus
Arnoglossus spp.
Arnoglossus laterna
Arnoglossus imperialis
Arnoglossus thori
Zeugopterus punctatus
Phrynorhombus spp.
Phrynorhombus norvegicus
Phrynorhombus regius
Lepidorhombus whiffiagonis
Glyptocephalus cynoglossus
Hippoglossoides platessoides
Limanda limanda
Microstomus kitt
Platichthys flesus
Pleuronectes platessa
Hippoglossus hippoglossus
Soleidae
Solea spp.
Solea vulgaris
Solea lascaris
Buglossidium
Buglossidium luteum
Microchirus spp.
Microchirus variegatus
1
955
251
1
14
2
1
1264
7
4
648
8
44
700
268
82
344
3
1
1011
51
163
36
3764
1256
64
343
23
6
5
217
148
1
4
5
7
3992
13
954
536
5
536
1
1
27
1
103
6
1002
2471
9974
12450
7532
2506
9881
201
24
1
1594
2
13
1091
2
41
1
142429
18069
4
61
4
6
3452
15
16
16446
23
1823
558904
671657
18046
563273
26
8563
257494
57960
2147
353
53849
39513
450
10681
22566
16
10
33064
19405
34
44
12
48
975311
61
2401
1613
17
4593
2
1
71
4
319
15
9264
26011
1981470
8775692
154526
82694
519576
389
615
1
15339
5
78
21792
10
210
35
5
6
20
8
9
77
5
11
18
5
12
1
3.5
4
7
2
8
14
0.5
6
5
9
3
3
4
2
2
4
5
3
2
4
3
8
6
2
5
12
6
6
3
14
13
6
6
3
5
4
4
3
1
1
2
1
26
5
32
3
12
5
2
13
9
35
20
40
20
101
48
93
120
63
32
41
34
24
41
45
32
29
28
28
55
31
27
23
38
30
18
22
7
13
6
8
19
7
58
9
11
58
11
79
68
13
19
14
13
29
7
22
12
65
54
71
100
51
55
65
180
39
32
51
23
11
28
21
19
35
14
41
130
125
135
49
20
25
20
24
24
32
30
30
14
10
17
5
10
7
5
11
60
100
75
19
25
18
25
12
20
61
55
48
42
66
51
91
254
60
35
13
33
-9-
IBTS quality control
Table 2. Redundant NODC codes because the taxon is represented by a single species (ss) genus or a single
genus (sg) family.
Reported NODC code
Reason
8603010200/Lampetra spp.
- ss:
8603010300/Petromyzon spp.
8713040000/Rajidae
8741010000/Anguillidae
8756010000/Argentinidae
8786010000/Lophiidae
8791032100/Gadiculus spp.
8791040000/Merluccidae
8793010724/Lycodes spp.
8831022200/Myoxocephalus spp.
8835720100/Dicentrarchus spp.
8842020000/Anarhichaidae
8846010000/Callionymidae
8847016700/Lesueurigobius spp.
8858010800/Buglossidium spp.
8858010900/Microchirus spp.
- ss:
- sg:
- ss:
- sg:
- sg:
- ss:
- ss:
- ss:
- ss:
- ss:
- sg:
- sg:
- ss:
- ss:
- ss:
Appropriate NODC code Records
8603010217/L. fluviatilis
ISI1992/4 hl 2, 1993/2 hl 2;
TRI 1992/4 hl 12, 1993/4 hl21.
8603010301/P. marinus
ISI 1991/4 hl 33; CIR 1995/4 hl 3, 1996/4 hl 3.
8713040100/Raja spp.
GOS, JOH,DAN2, MIC
8741010102/A. anguilla
MIC 182/1 hl 57,60.
8756010200/Argentina spp. CIR, THA, ARG
8786010100/Lophius spp.
SCO2, EXP, CLU
8791032101/G. argenteus
ARG 1985/1 hl 24.
8791040105/M. merluccius THA 1984/1 all hauls.
8793010724/L. vahli
AND 1968/1 hl 44,49,50,51,52
8831022200/M. scorpius
AND 1968/1 hl 68, 76.
8835720101/D. labrax
ISI 1991/4 hl 4; CIR1993/3 hl 3.
8842020100/Anarhichas spp. JOH & MIC 1975-1981.
8846010100/Callionymus spp.SCO2 , EXP, ARG, GOS, JOH, MIC, ELD, JHJ
8847016702/L. friesii
THA 1990/1996
8858010801/B. luteum
THA 1990/1 1991/1 1992/1; THA2 1998/1
8858010900/M. variegatus
EXP 1976/1 hl 11.
- 10 -
IBTS quality control
Table 3. List of rare species.
NODC
Name
8707040302
8707040302
8710010102
8713030105
8713030105
8713040153
8713040153
8713040158
8713040158
8755010305
8755010305
8755010305
8755010305
8784010600
8784010701
8784010701
8786010104
8786010104
8786010104
8786010104
8786010104
8791032002
8791032002
8791032002
8791032002
8791032002
8791032002
8791032002
8791032501
8794010117
8794010117
8794010117
8794010117
8794010117
8794010117
8794010117
8794010117
8794011502
8794011502
8813010000
8813010000
8813010000
8813010000
8813010000
8820020123
8820020123
8820020123
8820020123
8820020123
8820022202
8820022202
8826010151
8826010628
8826020701
8831020308
8831024602
8831024602
8831024602
8831024602
8831024602
8831080801
8831080801
8831090310
8831090831
8831090831
8831090831
8831090831
8831090831
8831090831
8831090831
8831090831
8831090831
8831090831
8831090831
8831090831
8831090831
8831090831
8835430804
8835430804
8835430804
8835430804
8836010902
Lamna nasus
Lamna nasus
Somniosus microcephalus
Torpedo marmorata
Torpedo marmorata
Raja lintea
Raja lintea
Raja undulata
Raja undulata
Salmo salar
Salmo salar
Salmo salar
Salmo salar
Lepadogaster spp.
Diplecogaster bimaculata
Diplecogaster bimaculata
Lophius budegassa
Lophius budegassa
Lophius budegassa
Lophius budegassa
Lophius budegassa
Gaidropsurus mediterraneus
Gaidropsurus mediterraneus
Gaidropsurus mediterraneus
Gaidropsurus mediterraneus
Gaidropsurus mediterraneus
Gaidropsurus mediterraneus
Gaidropsurus mediterraneus
Onogadus argenteus
Coryphaenoides rupestris
Coryphaenoides rupestris
Coryphaenoides rupestris
Coryphaenoides rupestris
Coryphaenoides rupestris
Coryphaenoides rupestris
Coryphaenoides rupestris
Coryphaenoides rupestris
Trachyrhynchus murrayi
Trachyrhynchus murrayi
Lampridae
Lampridae
Lampridae
Lampridae
Lampridae
Syngnathus typhle
Syngnathus typhle
Syngnathus typhle
Syngnathus typhle
Syngnathus typhle
Nerophis ophidion
Nerophis ophidion
Sebastes mentella
Scorpaena scropha
Trigloporus lastoviza
Artediellus atlanticus
Micrenophrys lilljeborgi
Micrenophrys lilljeborgi
Micrenophrys lilljeborgi
Micrenophrys lilljeborgi
Micrenophrys lilljeborgi
Agonus decagonus
Agonus decagonus
????
Liparis montagui
Liparis montagui
Liparis montagui
Liparis montagui
Liparis montagui
Liparis montagui
Liparis montagui
Liparis montagui
Liparis montagui
Liparis montagui
Liparis montagui
Liparis montagui
Liparis montagui
Liparis montagui
Pagellus erythrinus
Pagellus erythrinus
Pagellus erythrinus
Pagellus erythrinus
Liza aurata
Year
Quar
77
96
98
75
75
92
96
83
90
76
89
92
95
92
87
91
91
93
93
93
95
83
83
83
88
88
88
91
95
75
76
87
91
92
95
96
98
91
94
94
94
95
96
96
96
98
98
98
98
68
92
96
91
95
97
68
97
97
98
98
96
98
94
67
68
68
72
77
77
88
91
94
95
95
96
97
98
71
73
91
96
93
1
4
1
1
1
2
1
1
1
1
1
3
3
1
1
1
3
1
1
3
1
1
1
1
1
1
1
1
4
1
1
1
2
4
2
1
1
3
1
3
3
1
3
3
1
1
1
1
1
1
1
4
1
4
1
1
3
3
1
1
2
1
1
1
1
1
1
1
1
1
1
1
1
1
2
3
1
1
1
1
1
3
Ship
PO
GOS
ARG
TRI
TRI
SCO2
MIC
EXP
CIR
ARG
TRI
TRI2
SCO2
THA
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
WAH3
AND2
AND2
AND2
WAH2
WAH2
WAH2
WAH2
GOS
ARG
ARG
ARG
ARG
DAN2
ARG
ARG
ARG
SCO2
SCO2
THA
THA
THA
THA2
THA2
ARG
ARG
ARG
ARG
ARG
AND2
SOL
GOS
SCO2
THA
MIC
AND2
WAH3
WAH3
DAN2
WAH3
MIC
MIC
TRI2
AND2
AND2
AND2
SKA
CIR
CIR
CIR
ARG
TRI2
ARG
TRI2
SCO2
CIR
DAN2
EXP
TRI
ISI
SCO2
CIR
Haul
Rectangle
60
27
117
12
13
53
5
48
3
20
30
5
5
29
62
52
52
1
9
63
10
43
75
85
7
12
47
25
6
39
42
46
109
14
147
33
137
8
1
20
21
37
6
57
36
57
67
80
150
60
5
33
66
8
40
44
39
40
14
166
36
36
5
54
3
46
24
23
28
7
11
6
41
5
29
1
23
7
14
8
31
2
42F0
46F1
44G1
50F0
49F0
48E9
50F0
46E6
34F1
41G2
37F7
37F3
42E7
37F6
48E8
47E7
48E7
49E9
51E8
50E8
42F6
47E8
45F0
44F0
39F4
39E8
37F3
44E9
52F1
45F9
45F9
44F8
45F9
44F8
45G0
45G0
45F9
41E8
43E8
37F8
37F7
39E8
34F1
31F1
44G0
41G0
41G2
43G0
45G0
41F5
39F5
52F0
42E7
36F0
43F6
43F7
44E8
44E9
39E9
44F0
37F0
43F5
35F0
38F5
37F6
43F7
43F8
42F7
41F7
35F0
42F5
36F3
45G0
35F0
42F7
32F1
40F6
44E7
41F1
34F3
45E9
32F2
- 11 -
IBTS quality control
8836010902
8836010902
8839013301
8839013301
8839013501
8839013603
8839013603
8839013603
8839013603
8839013603
8839013605
8842010100
8842020102
8842020104
8842020104
8842020104
8842020104
8842020104
8842020104
8842020104
8842121801
8842121801
8842121801
8842121801
8842121801
8842121801
8842121801
8842121801
8845010201
8845010201
8845010201
8847011316
8847011316
8847011316
8847011316
8847011316
8847011316
8847014901
8847014901
8847014901
8847014901
8847014901
8847015103
8847016601
8847016601
8847016601
8847016601
8847016601
8847016601
8847016601
8847016601
8847016601
8847016601
8847016700
8847016700
8847016700
8847016700
8847016700
8847016702
8847016702
8847016702
8847016702
8847016702
8847016702
8847016702
8857031703
8857031706
8857032202
8857032202
8857032202
8857032202
8857032202
8857032202
8858010610
8858010610
Liza aurata
Liza aurata
Symphodus melops
Symphodus melops
Ctenolabrus rupestris
Labrus bergylta
Labrus bergylta
Labrus bergylta
Labrus bergylta
Labrus bergylta
Labrus mixtus
Blennius spp.
Anarhichas denticulatus
Anarhichas minor
Anarhichas minor
Anarhichas minor
Anarhichas minor
Anarhichas minor
Anarhichas minor
Anarhichas minor
Leptoclinus maculatus
Leptoclinus maculatus
Leptoclinus maculatus
Leptoclinus maculatus
Leptoclinus maculatus
Leptoclinus maculatus
Leptoclinus maculatus
Leptoclinus maculatus
Gymnammodytes semisquamatus
Gymnammodytes semisquamatus
Gymnammodytes semisquamatus
Gobius niger
Gobius niger
Gobius niger
Gobius niger
Gobius niger
Gobius niger
Crystallogobius linearis
Crystallogobius linearis
Crystallogobius linearis
Crystallogobius linearis
Crystallogobius linearis
Pomatoschistus microps
Aphia minuta
Aphia minuta
Aphia minuta
Aphia minuta
Aphia minuta
Aphia minuta
Aphia minuta
Aphia minuta
Aphia minuta
Aphia minuta
Lesueurigobius spp.
Lesueurigobius spp.
Lesueurigobius spp.
Lesueurigobius spp.
Lesueurigobius spp.
Lesueurigobius friesii
Lesueurigobius friesii
Lesueurigobius friesii
Lesueurigobius friesii
Lesueurigobius friesii
Lesueurigobius friesii
Lesueurigobius friesii
Arnoglossus imperialis
Arnoglossus thori
Phrynorhombus regius
Phrynorhombus regius
Phrynorhombus regius
Phrynorhombus regius
Phrynorhombus regius
Phrynorhombus regius
Solea lascaris
Solea lascaris
94
96
92
97
97
93
94
95
96
97
97
94
96
72
77
83
92
93
94
94
72
89
91
91
94
97
97
97
91
97
97
89
93
94
96
97
97
84
84
84
84
98
91
72
72
72
73
73
73
78
78
93
95
95
95
95
95
95
97
97
97
97
97
98
98
94
92
73
83
84
84
93
94
92
94
3
3
4
3
3
1
1
1
3
3
3
3
2
1
1
1
4
4
4
4
1
1
3
4
4
3
3
3
1
1
1
1
2
1
3
1
3
1
1
1
1
1
1
1
1
1
1
1
1
1
1
4
3
1
1
2
2
2
1
1
3
3
3
1
1
1
2
1
1
1
1
1
2
2
3
TRI2
CIR
DAN2
ARG
ARG
ARG
SCO2
ARG
ARG
ARG
SCO2
THA
MIC
JOH
JOH
ELD
DAN2
GOS
GOS
GOS
THE
DAN2
SCO2
DAN2
DAN2
CIR
CIR
CIR
ARG
SCO2
SCO2
CIR
ARG
ARG
THA2
TRI2
ARG
EXP
EXP
EXP
EXP
TRI2
WAH2
AND2
AND2
SKA
AND2
AND2
AND2
PO
TRI
DAN2
TRI2
ARG
ARG
ARG
ARG
ARG
ARG
THA2
ARG
ARG
ARG
ARG
ARG
WAH3
SCO2
EXP
EXP
EXP
EXP
SCO2
SCO2
SCO2
CIR
1
3
3
586
590
14
53
2
148
576
87
27
68
13
35
14
30
49
19
24
11
35
33
7
33
33
34
40
1
15
17
4
129
16
8
23
586
7
10
11
12
15
11
3
4
41
2
7
28
17
57
40
10
1
34
141
143
151
49
1
585
589
601
78
116
8
30
46
48
48
49
46
34
31
77
33F4
32F2
41G2
43G2
43G1
44G1
45E7
43G1
43G2
41G2
44E6
39F8
50F2
45E8
43F7
45F4
37E9
45F1
49F0
48F1
46G1
39F6
47F3
42G2
46F3
45F4
45F3
42F0
43F7
42F3
44F4
32F1
44G1
46G1
35F2
32F1
43G2
38F6
39F6
39F7
39F7
37F2
38F2
37F6
37F5
42G2
35F3
37F5
43E9
38E9
34F3
44G1
39F6
44G1
46G1
43G2
44G1
43G1
43G1
31F2
43G2
44G1
46G1
43G2
44G1
42F7
36F2
43E8
46E6
46E6
44E6
42E9
40F6
36F1
36F0
- 12 -
IBTS quality control
Table 4. Records with unlikely small fish (<2cm).
Year Quar Ship
Haul
65
67
69
76
82
82
82
83
83
86
91
92
93
93
94
95
95
95
95
95
95
95
96
97
98
98
98
8747010201
8857041502
8857040904
8857040904
8791031701
8791031801
8791031801
8747011701
8747011701
8857040904
8842130209
8791031701
8857041502
8845010301
8791032201
8747011701
8791032201
8791032201
8857040904
8835280103
8747011701
8747020104
8791032201
8857041202
8747011701
8791030402
8747010201
1WIL 1
1WIL 17
1WIL 5
1 JOH 46
1 MIC 41
1 MIC 41
1 MIC 41
1AND2 92
1AND2 98
1DAN2 2
4DAN2 11
3WAH25
1THA 12
2SCO2 30
4GOS 3
1 MIC 15
1 MIC 23
1 MIC 31
2 MIC 23
4DAN2 2
4DAN2 3
4DAN2 58
2 MIC 5
3TRI2 11
1DAN2 21
1THA2 4
1TRI2 32
Nodc
Name
Class
N
Input error
Clupea harengus
Pleuronectes platessa
Limanda limanda
Limanda limanda
Trisopterus minutus
Merlangius merlangus
Merlangius merlangus
Sprattus sprattus
Sprattus sprattus
Limanda limanda
Pholis gunnellus
Trisopterus minutus
Pleuronectes platessa
Hyperoplus lanceolatus
Micromesistius poutassou
Sprattus sprattus
Micromesistius poutassou
Micromesistius poutassou
Limanda limanda
Trachurus trachurus
Sprattus sprattus
Engraulis ancrasicolus
Micromesistius poutassou
Microstomus kitt
Sprattus sprattus
Gadus morhua
Clupea harengus
1.5
1.0
1.0
1.0
1.5
1.0
1.5
1.0
1.0
1.5
1.0
1.0
1.0
0.5
1.0
1.0
1.5
1.5
1.5
1.0
1.0
1.0
1.5
1.0
0.5
1.0
0.5
1
1
34
4
2
8
4
7
2
2
2
2
54
1
14
4
2
2
14
34
45
6
2
2
13
50
8
*
*
*
*
*
Table 5. Length distributions (by 10 cm size classes) of Raja radiata by country (for SCO in 1989 and
other years combined, separately).
Size DEN ENG
0
10
20
30
40
50
60
70
80
100
17
244
709
1424
2341
398
2
0
0
0
Total
FRA
GFR
NED
NOR
SCO
SCO
SWE
Total
Other
1989/1
106
479
1735
3638
4274
407
0
0
0
0
0
36
146
266
266
78
4
2
7
0
140
850
1386
2923
3694
461
24
0
0
2
16
176
523
1558
2035
189
6
2
0
0
101
504
1161
3931
5509
620
18
28
2
0
87
813
2288
3746
4674
437
0
2
1
0
82
88
96
181
252
262
240
6
0
0
17
245
490
1086
1652
1866
87
6
0
0
566
3435
8534
18753
24697
4718
381
46
10
2
5135
10639
805
9480
4505
11874
12048
1207
5449
59935
Table 6. Length distributions (a) and unlikely records (b) of sticklebacks reported by selected countries.
a. Length distributions
88180100008818010101
8818010501
GasterosteidaeGasterosteus aculeatusSpinachia spinachia
NOR+SCO
Total
FRA
Others
Total
3
4
5
6
7
8
9
10
11
12
13
…
16
…
33
43
1
33
2
-
DEN
FRA
Others
2
2
2
3
3
6
90
651
178
120
2
-
6
90
651
180
2
2
3
3
-
-
-
-
-
3
-
-
-
-
-
-
4
4
4
4
-
-
7
67
1314
5941
825
4
120
2
-
6
-
7
67
1314
5935
825
4
-
3
-
-
b. Records with ‘oversized’ sticklebacks
1970/1
1979/1
1987/1
1992/4
1992/4
TRI
PO
SCO2
DAN2
DAN2
hl 30
hl 29
hl 32
hl 8
hl 8
Gasterosteus aculeatus
Gasterosteus aculeatus
Gasterosteus aculeatus
Spinachia spinachia
Spinachia spinachia
10 cm
11 cm
16 cm
33 cm
43 cm
120
2
3
4
4
*Input error
- 13 -
IBTS quality control
Table 7. Length distributions of Myoxocephalus scorpius (a) and Taurulus bubalis (b) reported by
individual countries (%: percentage catch of the two species combined).
a. 8831022207 - Myoxocephalus scorpius
DEN
ENG
FRA
GFR
NED
NOR
SCO
SWE
Total
4
12
4
16
5
22
12
34
6
25
38
32
95
7
45
40
68
1
154
8
98
40
18
144
3
303
9
105
38
42
206
2
4
397
10 51
38
40
250
7
4
390
11 55
14
52
330
6
4
461
12 26
6
62
168
8
6
276
13 35
28
77
224
2
5
8
379
14 39
51
73
352
7
40
562
15 61
76
88
496
9
52
782
16 59
122
95
1264
17
54
1611
17 89
157
113
783
20
64
1226
18 123
128
122
991
23
88
1485
19 194
113
79
1023
31
83
1433
20 128
120
72
770
2
39
96
1227
21 104
108
130
472
35
87
936
22 77
135
85
610
2
23
102
1034
23 111
108
52
935
8
26
93
1333
24 74
120
77
472
10
35
43
831
25 34
79
57
281
25
49
525
26 20
57
72
276
2
8
24
459
27 26
26
55
140
16
32
295
28 21
15
24
86
6
11
21
184
29 11
13
10
26
10
6
76
30 6
10
4
2
11
4
37
31 2
8
4
5
4
23
32 11
6
2
7
26
33 4
4
34 4
4
2
10
35 6
1
7
37 2
2
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Total1554
1723
1517
10421
48
387
964
16613
b. 8831024601 - Taurulus bubalis
DEN
ENG
FRA
GFR
NED
NOR
SCO
SWE
Total
2
2
2
3
2
2
4
16
4
4
24
5
44
2
6
52
6
30
23
4
57
7
30
50
2
82
8
16
70
10
96
9
16
64
80
10 8
60
6
74
11 6
87
93
12 8
115
4
2
129
13 167
4
171
14 6
246
252
15 247
2
249
16 2
216
220
17 8
213
2
2
225
18 2
185
4
191
19 6
139
1
2
148
20 16
100
6
2
124
21 14
70
2
3
89
22 20
81
2
3
2
108
23 16
60
2
2
4
84
24 6
36
3
4
49
25 9
54
2
5
70
26 4
30
34
27 5
2
16
1
2
26
28 2
4
6
29 2
1
3
30 2
2
31 3
1
4
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Total295
2331
34
34
24
27
2744
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------%
0
15
100
2
+
0
6
3
14
- 14 -
IBTS quality control
Table 8. Length distributions of reported sandeels.
0
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
45
55
88450100008845010100884501010588450101068845010201 8845010300
AmmodytidaeAmmodytesA.tobianusA.marinus
G.semisq. Hyperoplus
0
0
0
0
0
0
0
0
0
1
0
0
1
0
0
0
0
0
0
17
0
0
0
0
8
97
0
7
0
0
239
307
0
58
0
0
605
3638
28
151
0
0
4933
13348
234
626
8
0
8081
15747
612
1236
6
0
9103
11931
581
1681
5
0
13000 10472
280
1941
1
0
21494
9457
303
13304
0
0
34003 40264
766
38385
0
0
34162 99493
1042
90428
1
160
48803 143590
2388
96805
1
800
75441 133375
2769
90448
0
1521
132172109605
3065
64655
0
1841
132158 52671
3366
55213
1
2241
18489 14727
1643
41415
1
800
9779
4268
432
33390
0
80
8982
5607
308
22288
0
0
3826
765
105
7151
1
80
2631
680
63
1884
0
160
213
685
23
1003
0
0
446
531
14
562
0
80
149
192
6
627
0
400
53
101
4
6
0
160
20
56
0
4
1
240
26
11
2
4
0
0
23
14
2
0
0
0
6
2
5
0
0
0
11
0
5
0
0
0
12
0
0
0
0
0
17
0
0
0
0
0
3
0
0
0
0
0
4
0
0
0
0
0
2
0
0
0
0
0
5
0
0
0
0
0
2
0
0
0
0
0
1
2
0
0
0
0
1
0
0
0
0
0
0
2
0
0
0
0
0
2
0
0
0
0
0
0
0
0
0
0
8845010301
H.lanceol.
1
0
3
11
25
110
259
401
370
341
293
306
415
1357
7000
17850
43572
61683
25760
18125
18290
17533
15392
9131
6592
3980
3333
1962
1504
696
378
251
213
61
44
29
201
10
6
4
0
0
0
2
8845010302
H.immac.
0
0
0
0
0
6
16
24
6
2
6
4
27
556
5771
12773
16119
12870
5830
3436
122
253
42
36
16
8
12
11
8
2
4
0
0
0
0
0
0
0
0
0
0
0
0
0
Total
1
1
4
28
137
720
4697
19574
26058
23644
25993
44868
113860
227199
305158
334177
371029
320203
108665
69510
55597
29714
20852
11091
8241
5362
3669
2294
1555
737
395
267
225
78
47
33
203
15
8
7
1
2
2
2
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Total
558904
671657
18046
563273
26
8563
257494
57960
2135923
- 15 -
IBTS quality control
Table 9. Length distributions (a) and reported fractions (b) of Callionymus spp. by country by region.
a. Length distributions
88460100008846010100
8846010106
CallionymidaeCallionymus spp.
C. lyra
30
0
11
40
0
147
51
0
471
65
0
759
781
0
1369
871
0
1593
9219
2
1717
10
289
0
11
231
2
12
253
18
13
219
40
14
171
54
15
73
54
16
68
42
17
109
34
18
90
34
19
86
24
20
75
6
21
56
27
22
25
4
23
11
12
24
5
0
25
3
0
26
5
0
27
1
0
28
0
0
29
0
0
30
0
0
31
0
0
32
0
0
35
0
0
36
0
0
38
0
0
8846010107
C. maculatus
38
272
513
797
2153
5254
6822
1862
1533
2336
3012
4226
5368
5774
5361
5112
4689
3597
2067
1454
666
326
194
95
58
15
5
15
6
2
2
4
3
8846010120
C. reticulatus
0
5
67
107
113
32
34
7359
5809
4455
2734
1747
756
295
147
207
36
29
25
10
23
14
8
5
2
0
2
1
0
0
0
0
0
Total
49
424
1052
1668
3716
6950
8794
40
20
10
2
10
2
2
2
4
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
9550
7595
7072
6007
6208
6253
6181
5653
5447
4835
3707
2175
1493
712
345
205
105
61
15
7
16
6
2
2
4
3
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Total
2147
353
53849
39513
450
96312
b. Reported fractions
Callionymidae + Callionymus spp.C. lyra
(N)
N
South of 55°30’
DEN
ENG
FRA
GFR
NED
NOR
SCO(113)
C. maculatus
%
5323
4694
1862
(216)
2276
5821
98 116
100
91
11836
461
98
N
97
2
9
188
97
98
43
C. reticulatus
%
N
195
3
+
9
6
8
2
+
1
2
%
355
3
+
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
North of 55°30’
DEN
ENG
FRA
GFR
NED
NOR
SCO(436)
SWE
1811
1126
(1177)
2392
2456
1747
100
60
1438
120
70
2201
93
79
178
433
7
19
38
2
740
94
100
1033
73
40
54
3
54
3
30
825
1
27
+
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Skagerrak/Kattegat
DEN
NOR
SWE
(504)
(54)
4494
58
3281
42
4572
12
32408
88
- 16 -
IBTS quality control
Table 10. Length distributions of Buglossidium spp. by France and of Buglossidium luteum reported by
Scotland and by other countries combined.
8858010800
8858010801
Buglossidium spp. Buglossidium luteum
Size class
FRA
Total
Others
SCO
2
3
3
0
3
74
74
0
4
294
291
3
5
2
172
171
1
6
2
1279
1274
5
7
10
3378
3348
30
8
16
5810
5748
62
9
22
5312
5258
54
10
12
3276
3238
38
11
6
1454
1436
18
12
443
406
37
13
86
50
36
14
48
15
33
15
36
11
25
16
45
4
41
17
43
6
37
18
17
0
17
19
10
0
10
20
4
0
4
21
6
0
6
22
1
0
1
…
28
1
0
1
---------------------------------------------------------------------------------------------------------------------------------Total
78
21792
21333
459
- 17 -
IBTS quality control
Table 11. Records with unlikely length classes by country.
NODC
Denmrk
Name
8713040159
8791031701
8791031701
8791031701
8791032101
8791032101
8826010175
8826010175
8831024602
Raja clavata
Trisopterus minutus
Trisopterus minutus
Trisopterus minutus
Gadiculus argenteus
Gadiculus argenteus
Sebastes viviparus
Sebastes viviparus
Micrenophrys lilljeborgi
Year
Quar
Ship
Haul
Rect
Size N Input error
92
92
92
93
92
94
85
93
98
1
1
4
1
4
4
1
4
1
DAN2
DAN2
DAN2
DAN2
DAN2
DAN2
DAN2
DAN2
DAN2
36
35
29
15
63
44
12
45
14
36F0
37F1
37F0
40E9
46F3
45F0
46F3
46F3
39E9
100
30
30
30
17
17
41
41
10
5
2
4
10
2
33
2
2
2
Raja naevus
Sardina pilchardus
Sebastes viviparus
Sebastes viviparus
Liza aurata
95
92
94
95
93
3
3
4
4
3
CIR
CIR
CIR
CIR
CIR
56
2
46
64
2
51F1
32F2
51F2
51F2
32F2
93
30
36
37
52
2
2
2
2
2
Squalus acanthias
Raja naevus
Raja clavata
Buglossidium luteum
93
92
96
97
3
3
3
1
THA
THA
THA2
THA2
35
15
17
49
34F3
35F1
36F0
33F2
148
98
102
17
2
2
2
2
Myxine glutinosa
Raja radiata
Raja montagui
Raja montagui
Raja montagui
Raja montagui
Sprattus sprattus
Sprattus sprattus
Sprattus sprattus
Sprattus sprattus
Trisopterus minutus
Trisopterus esmarki
Trisopterus esmarki
Trisopterus esmarki
Trisopterus esmarki
Trisopterus esmarki
Trisopterus esmarki
Trisopterus esmarki
Trisopterus esmarki
Trisopterus esmarki
Gadiculus argenteus
Gadiculus argenteus
Syngnathus rostellatus
Sebastes viviparus
Sebastes viviparus
Sebastes viviparus
Echiichthys vipera
Echiichthys vipera
Echiichthys vipera
Echiichthys vipera
Buglossidium luteum
Buglossidium luteum
94
77
95
95
95
95
74
77
91
91
82
77
77
77
77
79
79
92
92
92
77
84
93
83
83
86
95
95
95
95
88
98
1
1
1
1
1
1
1
1
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
1
1
WAH3
PO
WAH3
WAH3
WAH3
WAH3
AND2
PO
WAH2
WAH2
AND2
PO
PO
PO
PO
PO
PO
WAH2
WAH2
WAH2
PO
AND2
WAH2
AND2
AND2
AND2
WAH3
WAH3
WAH3
WAH3
WAH2
WAH3
55
16
65
65
65
65
45
21
28
28
19
20
20
65
65
9
9
23
23
23
72
77
59
55
64
105
7
7
7
7
74
162
45F0
38F0
51E8
51E8
51E8
51E8
42F4
40F1
39E9
39E9
37E9
40F1
40F1
45F0
45F0
38F0
38F0
45E9
45E9
45E9
47F3
44F0
45E6
50F1
46F3
44F5
38F2
38F2
38F2
38F2
47E8
44E6
79
100
85
90
92
102
19
19
19
19
33
28
29
28
30
29
32
28
29
30
17
18
26
35
37
39
17
18
19
20
17
17
2
2
2
4
2
2
1
2
5
10
2
7
4
24
6
4
2
10
10
2
2
2
2
18
2
2
10
6
6
18
2
2
Raja clavata
Raja clavata
Sprattus sprattus
Sardina pilchardus
Sardina pilchardus
Trisopterus minutus
Trisopterus minutus
Ciliata mustela
Agonus cataphractus
Agonus cataphractus
Agonus cataphractus
Liparis liparis
Liparis liparis
Liza aurata
Echiichthys vipera
Echiichthys vipera
Echiichthys vipera
Phrynorhombus norvegicus
Limanda limanda
Limanda limanda
Limanda limanda
Limanda limanda
76
91
93
91
92
66
95
76
84
84
84
94
97
94
77
77
98
92
70
70
70
70
1
1
2
2
2
1
4
1
1
1
1
2
1
3
1
1
1
1
1
1
1
1
TRI
TRI2
TRI2
ISI
ISI
WIL
ISI
TRI
ISI
ISI
ISI
TRI2
TRI2
TRI2
TRI
TRI
TRI2
TRI2
TRI
WIL
WIL
WIL
21
29
8
19
19
12
3
54
18
18
18
13
30
1
7
7
37
41
13
11
11
11
39E9
35F0
39E9
34F4
34F3
40F5
35F4
33F4
36F8
36F8
36F8
41F5
36F7
33F4
35F4
35F4
36F1
33F2
43F7
38F2
38F2
38F2
105
2
100
2
19 100
31
2
31
2
29
1
30 16
53
2
24
4
25 16
26 12
35
2
32
2
56
2
17
2
18
2
18
2
14
2
100
4
47
8
48
8
49 16
England
8713040148
8747012201
8826010175
8826010175
8836010902
France
8710010201
8713040148
8713040159
8858010801
Germany
8606010201
8713040134
8713040141
8713040141
8713040141
8713040141
8747011701
8747011701
8747011701
8747011701
8791031701
8791031703
8791031703
8791031703
8791031703
8791031703
8791031703
8791031703
8791031703
8791031703
8791032101
8791032101
8820020119
8826010175
8826010175
8826010175
8840060101
8840060101
8840060101
8840060101
8858010801
8858010801
Netherlands
8713040159
8713040159
8747011701
8747012201
8747012201
8791031701
8791031701
8791032401
8831080803
8831080803
8831080803
8831090828
8831090828
8836010902
8840060101
8840060101
8840060101
8857032201
8857040904
8857040904
8857040904
8857040904
* (9 cm)
* (T. luscus)
* (23 cm)
* (M. scorpius)
* (M. scorpius)
* (M. scorpius)
*?
*?
* (10 cm)
* (7 cm)
* (8 cm)
* (9 cm)
- 18 -
IBTS quality control
NODC
Norway
Name
8747011701
8747011701
8747011701
8791031703
8791032101
8826010175
8826010175
Sprattus sprattus
Sprattus sprattus
Sprattus sprattus
Trisopterus esmarki
Gadiculus argenteus
Sebastes viviparus
Sebastes viviparus
Year
Quar
Ship
Haul
Rect
Size N
92
92
94
84
76
83
92
2
2
2
1
1
1
4
JOH
JOH
MIC
ELD
JOH
ELD
GOS
33
33
49
45
53
14
5
43F8
43F8
42G1
44F5
49F3
45F4
49F0
47
50
19
29
17
34
39
2
2
93
2
29
2
22
Raja montagui
Raja montagui
Raja montagui
Raja naevus
Raja naevus
Raja naevus
Raja naevus
Raja naevus
Raja naevus
Raja naevus
Raja naevus
Raja naevus
Raja naevus
Raja naevus
Raja naevus
Raja naevus
Raja naevus
Raja naevus
Raja naevus
Raja naevus
Raja naevus
Raja naevus
Raja naevus
Raja naevus
Raja naevus
Raja naevus
Raja naevus
Raja naevus
Raja naevus
Maurolicus muelleri
Maurolicus muelleri
Maurolicus muelleri
Sebastes viviparus
Sebastes viviparus
Sebastes viviparus
Echiichthys vipera
Crystallogobius linearis
Crystallogobius linearis
Phrynorhombus norvegicus
Hippoglossoides platessoides
Hippoglossoides platessoides
Hippoglossoides platessoides
Hippoglossoides platessoides
Hippoglossoides platessoides
Hippoglossoides platessoides
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
85
91
93
92
93
95
81
84
84
91
97
97
97
97
97
97
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
3
3
3
1
1
1
1
2
2
2
2
2
2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
EXP
EXP
EXP
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
SCO2
44
44
44
2
2
2
6
6
6
6
7
7
7
8
37
39
40
40
44
44
44
44
44
44
55
55
55
56
56
11
37
39
69
46
39
14
10
12
53
35
35
35
35
35
35
47E8
47E8
47E8
44E8
44E8
44E8
41E8
41E8
41E8
41E8
42E8
42E8
42E8
41E9
44E7
45E6
45E7
45E7
47E8
47E8
47E8
47E8
47E8
47E8
43E9
43E9
43E9
44E9
44E9
45F0
45F0
44E6
47F0
47F3
47F3
38F2
39F6
39F7
46E7
42F6
42F6
42F6
42F6
42F6
42F6
84
86
91
82
97
98
80
97
100
106
92
93
98
93
92
100
98
105
80
92
98
100
103
105
93
100
103
95
101
12
8
8
39
34
37
17
6
6
22
53
54
55
56
57
59
1
2
1
1
1
1
3
6
3
3
2
2
2
2
1
1
1
1
1
2
1
2
1
2
1
1
1
2
2
1
1
3
1
1
1
1
1
4
1
3
5
5
2
1
1
Sprattus sprattus
Maurolicus muelleri
Trisopterus minutus
Trisopterus minutus
Gadiculus argenteus
Gadiculus argenteus
Gadiculus argenteus
Micromesistius poutassou
Zeugopterus punctatus
76
72
80
80
94
95
97
91
81
1
1
1
1
3
3
3
3
1
ARG
SKA
ARG
ARG
ARG
ARG
ARG
ARG
ARG
25
31
3
32
183
195
557
193
13
43G1
44G1
44F8
43G1
44F8
45G0
44F8
44F8
43G0
19
9
31
35
17
19
17
51
29
2
1
2
2
2
12
4
2
2
Scotland
8713040141
8713040141
8713040141
8713040148
8713040148
8713040148
8713040148
8713040148
8713040148
8713040148
8713040148
8713040148
8713040148
8713040148
8713040148
8713040148
8713040148
8713040148
8713040148
8713040148
8713040148
8713040148
8713040148
8713040148
8713040148
8713040148
8713040148
8713040148
8713040148
8759010501
8759010501
8759010501
8826010175
8826010175
8826010175
8840060101
8847014901
8847014901
8857032201
8857040603
8857040603
8857040603
8857040603
8857040603
8857040603
Sweden
8747011701
8759010501
8791031701
8791031701
8791032101
8791032101
8791032101
8791032201
8857032101
- 19 -
IBTS quality control
Table 12. Reported catches of
quarter.
8708020400
Mustelus spp.
1965-1
1966-1
1967-1
1968-1
1969-1
1970-1
1971-1
1972-1
1973-1
1974-1
1975-1
1976-1
1977-1
1978-1
1979-1
1980-1
1981-1
1982-1
1983-1
1984-1
1985-1
1986-1
1987-1
1988-1
1989-1
1990-1
1991-1
1991-2
1991-3
1991-4
1992-1
1992-2
1992-3
1992-4
1993-1
1993-2
1993-3
1993-4
1994-1
1994-2
1994-3
1994-4
1995-1
1995-2
1995-3
1995-4
1996-1
1996-2
1996-3
1996-4
1997-1
1997-2
1997-3
1997-4
1998-1
Mustelus spp., Mustelus asterias and Mustelus asterias by year and
5708020408
M.mustelus
268
Total
1
1
1
1
2
2
6
6
12
12
8
5
8
5
6
5
2
2
12
30
28
27
6
68
10
366
5
116
19
141
2
10
20
30
8708020409
M.asterias
17
6
32
2
98
12
2
141
2
6
5
2
2
2
10
28
10
6
8
5
104
17
10
12
6
18
31
1
62
1
14
6
24
18
36
1
138
1
24
18
30
7
48
55
5
76