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SCRS/2013/169 Collect. Vol. Sci. Pap. ICCAT, 70(2): 518-536 (2014)
PRELIMINARY EVALUATION OF THE TOTAL CATCHES
OF EASTERN BLUEFIN TUNA: A COMPARISON OF THE GBYP AND ICCAT
TASK I DATABASES (1950-2011)
Ana Justel-Rubio1,
Mauricio Ortiz1, Carlos Palma
1,
Juan Luis Gallego1, M’Hamed Idrissi
1, Antonio Di Natale
1
SUMMARY
The data recovery and data mining is one of the main tasks of ICCAT-GBYP and, within this
work, a large amount of data previously not included in the ICCAT BFT data base have been
recovered. A review work was carried out on GBYP Task I data and a few conflicts with the
ICCAT Task I data have been noticed. According to the ICCAT data rules, these conflicts must
be examined and resolved by the competent CPC and its national scientists, providing the final
decision to ICCAT.
RÉSUMÉ
La récupération des données et l'exploration des données constituent l'une des principales
tâches de l'ICCAT-GBYP et, dans le cadre de ces travaux, un grand volume de données qui
n'étaient pas encore incluses dans la base de données de l'ICCAT sur le thon rouge ont été
récupérées. Un examen des données de la Tâche I du GBYP a été réalisé et l'on a constaté
quelques contradictions avec les données de la Tâche I de l'ICCAT. Selon les normes de
l'ICCAT en matière de données, ces contradictions doivent être examinées et résolues par la
CPC compétente et ses scientifiques nationaux, en présentant la décision finale à l'ICCAT.
RESUMEN
La minería y recuperación de datos es una de las principales tareas del ICCAT-GBYP y, en el
marco de este trabajo, se ha recuperado una gran cantidad de datos que antes no estaban
disponibles en la base de datos de atún rojo de ICCAT. Se realizó una comparación de los
datos de captura recuperados del GBYP y se detectaron algunos conflictos con los datos de
Tarea I de ICCAT. Según las normas sobre datos de ICCAT. Estos conflictos deben ser
examinados y resueltos por las CPC competentes y sus científicos, que deben facilitar una
decisión final a ICCAT.
KEYWORDS
Bluefin tuna, Catch statistics, Task I, GBYP
1 ICCAT Secretariat, C/Corazón de María, 8. 28002 Madrid, Spain; Phone: +34 914 165 600 Fax: +34 914 152 612.
1. Introduction
One of the main objectives of ICCAT GBYP was the data recovery and the data mining, trying to find bluefin
tuna data not already included in the ICCAT BFT data base. This work, initiated in 2010, is still going on, but all
data recovered in the first three phases of the GBYP have been fully analysed and finely quality checked, with
the purpose of avoiding duplications and possible inconsistent data.
GBYP Task II data have been presented in various documents to SCRS BFT Species Group and finally the
dedicated Bluefin Tuna Meeting on Biological Parameters Review, held in Tenerife on 7-13 May 2013 (see:
http://www.iccat.int/Documents/Meetings/Docs/2013-BFT_BIO_ENG.pdf), used them and concluded the
following (page 2):
For the Task II size data the Group considered that the methods used to validate those data have been
appropriate and agreed to incorporate these data to the ICCAT data bases.
As regards Task II catch and effort series that fill gaps in ICCAT current data base, once the quality
checking is passed, be incorporated in the ICCAT data base.
GBYP Task II data were fully analysed, quality controlled and cross-checked with the ICCAT BFT data base
(see documents SCRS/2012/116, SCRS/2012/141 and SCRS/2013/073) and now can be officially incorporated
in the ICCAT data base and used by SCRS.
Following the recommendations from the SCRS Bluefin tuna Working Group, this document summarizes a
comparison of the total catches for eastern bluefin tuna stock as reported by Task I and the data collected from
“data recovery and mining” projects under the Atlantic-wide research program on Bluefin tuna (ICCAT-GBYP)
for the 1950 – 2011 period.
Task I data recovered by GBYP for the period before 1950 can be included in the ICCAT BFT data base.
The document identifies overlaps between catch and effort data series compiled under the GBYP and data series
included in the ICCAT databases, examines potential duplicate reporting and highlights items or data that would
require further clarification by national scientists. The objective is to present to the Bluefin WG a detailed report
in order to facilitate the decision of what data will be incorporated to the ICCAT database for future evaluations.
2. Data
Two databases were compared in this work, the Task I ICCAT database (as of July 2013) and the GBYP catch
and effort database for the East Atlantic and Mediterranean Bluefin tuna stocks.
The ICCAT Task I database contains the official information for Nominal annual catch by species, region, gear,
flag, and where possible, separated between EEZ and High Seas submitted by the responsible CPCs. Total
annual catches (tons) by reporting flag were extracted from the ICCAT Task I data base for years after 1950.
The Atlantic-wide research program for bluefin tuna (ICCAT-GBYP) formally started from October 2009, but
the coordination activity started in March 2010; the first phase included, among other issues, data mining and
data recovery activities. The second phase of GBYP started in December 2010, including (a) continuation of
data mining/recovery and data elaboration, (b) continuation of aerial surveys on spawning aggregations, (c)
biological and genetic sampling and analyses, (d) conventional tagging, including awareness and rewarding
campaign, and (e) first steps of the modeling approaches. This work will refer exclusively to the historical data
recovered up to the end of Phase 3. Table 1 shows a brief description of the database, including time range
covered, a list of contractors involved in recovery activities and fishing areas studied. As regards the Catch and
Effort database built during the data mining/recovery and elaboration process, it contains information for a total
of 30,923 trap fishing operations (matanzas) and 87,761 fishing operations carried out using other gears. Of the
total amount of records, 56.7% (67,332 records) describe fishing operations performed during or after 1950.
In the request for proposals of the GBYP “data recovery and mining”, it was demanded that any catch and effort
of bluefin tuna data submitted had NOT been previously reported to ICCAT. A catalog of the data available at
the ICCAT databases by year, gear and CPC was given each year to interested parties as to identify ‘gaps’ in
data that could be filled up by applicants and attached to each Call for tender officially issued by ICCAT.
However, given the very complex nature of the data, sources and disposition, it was not always guaranteed that
the data had not been already partially or totally included in the official national reports, hence the analysis
presented in this document.
3. Methods
How to evaluate the data provided and confirm that they have not been reported totally or partially already under
the official CPC statistics is by no means an easy task; bearing in mind that we don’t have local knowledge or
expertise from where the data originated, neither the procedures by which catch statistics are compiled to create
official Task I reports. Therefore, the approach taken in these preliminary analyses was to find the ‘overlaps’ of
GBYP data with the current Task I by year, flag and gear type and identify “potential” duplicated data, meaning
data that could have already been reported in Task I to ICCAT by the national authorities.
In this situation we can draw the possible scenarios as a matrix and evaluate each cell for their likelihood or
requirements needed to assess which case has a higher probability.
1. The GBYP catches (flag/gear/year) are less or same as Task I and
1.1. All catch was already reported by CPC in Task I
1.2. Partial catch were reported by CPC in Task I
1.3. None of the catch was reported by CPC in Task I
2. The GBYP catches (flag/gear/year) are higher than Task I and
2.1. All catch was reported by CPC. NOT possible
2.2. Partial catch were reported by CPC.
2.3. None of the catch was reported by CPC
From the matrix above, case (2.1) is the only one we can directly discard or ignore. For the situations where the
GBYP catch is less or similar to Task I, to evaluate any of the 3 scenarios (1.1, 1.2, 1.3) it would be necessary to
have further detailed information to discriminate among cases, for example, details of the catch by trap (or
vessel), date, size composition, etc. Moreover, this information should be available in both the GBYP data and
Task I. Unfortunately, Task I doesn’t have that level of information, and the level of information in GBYP data
varies greatly between the different provider sources.
From a point of view of the scientific evaluation of the stock, the important cases would be 1.2 and 1.3, because
in those situations those catches should be added to the current Task I. . However, we don’t have most of the
elements to discriminate among cases 1. Thus, in principle we assumed that if the GBYP catch was less or the
same than Task I by flag/gear/year, those catches were already reported by the CPC and thus shouldn’t be added
to the Task I unless proved otherwise. This proof would require a detailed work among CPC scientists fully
familiar with the catch statistical compilation processes to verify what component of the GBYP catch should
correspond to 1.1, 1.2 or 1.3. It is to be considered that in some years variable quantities of Task I catch data
have been reported by some CPCs as obtained from “unclassified” (UNCL) gear and then the simple comparison
between Task I data for a specific gear sometimes may not provide a clear overlapping.
In the case 2, where GBYP catches are higher than those reported in Task I, any decision would clearly have
more relevance for the evaluation of the resource. The exercise, again for distinguishing between 2.2 and 2.3
required more detailed and/or auxiliary information. By default, we assumed that none of the catch has been
reported (2.3) and therefore it should be added to the Task I, at least proved otherwise, as before then we
deferred this task to the CPC scientist.
In synthesis, then we focused on the GBYP catches by flag, year, gear that were higher than Task I.
Furthermore, the following criterion was adopted to discriminate relevant differences between the two data
sources (Task I and GBYP): those years when for a given Flag and Gear, data recovered under the GBYP
showed a total annual catch at least 10% higher than that recorded in the ICCAT database were identified and
studied separately. Comparison started with the catalogs showing annual catches (tons) grouped by Year, Flag
and Gear (Tables 2-3) for the Eastern Atlantic and Mediterranean Sea areas.
In some of the GBYP data, it was identified that the same catches from Flag, gear, year were obtained from two
or more different sources or projects. In these situations further verifications were conducted to rule out the
possibility of duplicates. Although this kind of data control check had already been performed in all GBYP data,
it was considered necessary to repeat it for the data series identified in the next chapter.
4. Results
The Flag-Gear overlaps found in the catalog where ICCAT and GBYP data were compared are shown in Table
4. Senegal was the only case in which only GBYP data was available, with no Task I data to compare it with
(SCRS/2010/113). For each of these cases, all data were plotted (Figures 1 and 2) and the 10% over criterion
was applied (Table 5).
As regards the Eastern Atlantic area, significant differences were found for the following Flag-Fleet-Gear
combinations: Spanish Baitboats (39 years between 1950 and 1995), Spanish traps (22 years between 1956 and
2006), Moroccan traps (year 2001) and Portuguese traps (years 1962 to 1969).
Concerning Spanish Baitboats, the total catches include both fleets from the Cantabrian Sea and the Canary
Islands.
Concerning Moroccan traps, GBYP catch only seemed significantly different for the year 2001; thus, it was not
considered necessary to do any further analysis of this dataset (Table 6).
As regards the Mediterranean Sea, significant differences were found for the following Flag Fleet-Gear
combinations: Spanish traps (17 years between 1956 and 2002), Italian longline (year 1998) and Italian handline
(year 1999). For the Italian longline and Italian handline, further analyses were also disregarded (Table 7).
4.1. Detailed revision of selected GBYP datasets
4.1.1. Spanish baitboat
The information for catches in this dataset originated from two different Spanish sources: Instituto Español de
Oceanografía (IEO) and AZTI- Tecnalia. Most data provided by each source correspond to different areas or
harbours, except for those of Lekeitio and Ondarroa, for which both contracting parties supplied catch
information.
Two major reasons made it difficult to compare these datasets. Firstly, each source provided data for different
catch time periods: for Lekeitio, IEO provided catches aggregated by month, whereas AZTI supplied daily data
(Figure 3). Catches in Ondarribia were reported by IEO grouped by month for most periods, but also annual
catches were reported in some cases. However, all AZTI data for this area was reported as daily operations,
similarly to how data were reported for Lekeitio (Figure 4). Secondly, while AZTI identified all vessels by a
coded ID number, IEO did not supply any identification for the vessels involved in each fishing operation.
A first discussion between the data providers took place during the Bluefin Tuna Species Group in 2012, but it
was not conclusive and no definitive agreement was reached.
Looking at Figures 3 and 4 it may seem like some of the data are duplicated given the similarity in catches
trends for some periods; nevertheless, taking into account the two issues discussed above, there is not enough
information to confirm that assumption.
4.1.2. Portuguese traps
All information available for Portuguese traps in the GBYP database were provided by the University of Açores,
therefore, the possibility of duplicated data from different sources was ruled out. In terms of trap identification, it
was noted that in all years with data reported in more than one catch time period, there was at least one trap
listed as “unknown”, preventing a 100% accurate discrimination of potential duplicates (Table 8). This issue was
present between 1962 and 1970, where information exists for both annual and daily catches (Figure 5). Daily
catches could be part of the whole annual catch reported for each of these years, although, the real annual catch
could actually be the sum of the quantities reported as daily and annual catches together. Once again, there is no
final evidence to prove which of these scenarios is true.
4.1.3. Spanish traps (East Atlantic and Mediterranean Sea)
There are no reasons to suspect any of the Spanish traps datasets contain duplicated information: there is only
one source for each dataset (IEO), information is reported solely for one catch time period (annual catches) and
all traps are adequately identified (Tables 9-10 and Figures 6-7).
5. Discussion
After studying total catches for eastern bluefin tuna stock from ICCAT Task I database and GBYP data recovery
activities database for the time period between 1950 and 2011, several conclusions can be drawn.
For one, it is clear that with the information available and the way in which it is reported, accurate comparisons
between these two databases is not always feasible, because details are sometimes missing.
In reference to the matrix of possible cases described in this document, the following approaches are suggested:
a) For cases 1.1, 1.2 and 1.3, where catches reported under the GBYP are lower or equal to those
registered in the Task I database, GBYP catch data should not be included in the Task I database, unless
it is precisely proven that data reported to the GBYP programme are different from those data stored as
Task I.
b) For cases where catch and effort data collected during GBYP data recovery activities are higher than
those included in the Task I database, a thorough examination of these data must be performed by
national scientists familiar with the way Task I data are elaborated and by contracting parties who
supplied this kind of data to the GBYP programme. However, it is suggested that the GBYP catch data
should be added or replace the Task I database, with a note of caution for same flag-gear GBYP data
reported by two different contractors. Communication between these two parties would also be
beneficial in order to clarify which data series would be allocated as case 2.2 (partial GBYP catch
information was already reported by the CPC) or as case 2.3 (none of the catch reported to GBYP was
previously reported by the CPC).
As indicated above, in cases where two contractors submitted catch and effort data series to the GBYP
programme for the same area and fishing gear2, it is strongly recommended that said sources discuss whether the
information they submitted to ICCAT might be duplicated or not (See section 4.1.1).
Furthermore, we would request a revision of all data series studied in section 4 of this work by the entities who
submitted these data as part of the GBYP programme in order to rule out any duplication. Some initial reviews
and discussions have already been started in prior meetings. These revisions and discussions should continue
and include an exhaustive study of those data series were data for the same area and fishing gear are grouped in
more than one catch time period (daily, monthly and/or annually).
At the same time, special attention should be given to datasets where fishing gears are listed as “unknown”,
because it is absolutely necessary to be able to know whether catches corresponding to these “unknown” gears
are different from those corresponding to identified gears or not (See section 4.1.2).
Regarding section 4.1.3, although apparently no information is duplicated, we request a revision of these data to
confirm that the comparison made between GBYP data and Task I data is reliable.
Once all these aspects are assessed, the situation should be much clearer and further steps in the process of
integrating these specific GBYP Catch and effort data to ICCAT Task I database will be defined and put into
practice, with an overall improvement in the Eastern Atlantic and Mediterranean BFT stock assessment as a
result. Figure 8 shows the estimated total removals for eastern bluefin tuna if the proposed catches from the
GBYP data are added to the current Task I. Most of the changes are in the early years of the time series (1952 –
1970). This trend represents the highest quantity, as it does not exclude potential duplicate reports from the
GBYP data as mentioned above.
2 In some cases the offer of data submitted by GBYP contractors included undefined data sets for large areas or for some fishing gears,
because the data details were not easily detectable in advance. In several cases, data sets were finally identified only when the contractor
carried out the work. Sometimes data from the same port were found by two different contractors in different archives, presented in different formats.
Bibliography
Anon. 2013, Report of the 2013 Bluefin Tuna Meeting on Biological Parameters Review (Tenerife, Spain, May
7 to 13, 2013). ICCAT, http://www.iccat.int/Documents/Meetings/Docs/2013-BFT_BIO_ENG.pdf : 1-75.
Di Natale A., Idrissi M., Justel-Rubio A., in press, Bluefin tuna catch and size historical data recovered under the
Atlantic-wide research programme for bluefin tuna (ICCAT-GBYP Phase 1 and 2) - Preliminary report.
ICCAT, SCRS/2012/141: 1-34.
Di Natale A., Idrissi M., Justel-Rubio A., in press, Bluefin tuna catch and size historical data recovered under the
Atlantic-wide Research Programme for Bluefin Tuna (ICCAT-GBYP Phase 1 to 3). ICCAT,
SCRS/2013/073: 1-10.
Justel-Rubio A., Ortiz Mauricio, in press. Review and preliminary analyses of size frequency samples of bluefin
tuna (Thunnus thynnus) 1952-2010. ICCAT, SCRS/2012/116: 1-34.
Ngom Sow, Fambaye et al., 2010, Bluefin tuna caught by Spanish baitboat and landed in Dakar in 2010.
Collect. Vol. Sci. Pap. ICCAT, 66(2): 883-887(2011)SCRS/2010/113.
Table 1. Summary table describing the GBYP data recovered database.
Vessel-based gears Traps
Number of records Number of records
87761
30923
Time range Time range
1903 - 2010 1512 - 2009
Contractors Contractors*
AZTI (Spain) Dr. Alain Fonteneau (France)
IEO (Spain) IEO (Spain)
INRH (Morocco) INRH (Morocco)
Institute of Marine Research (Norway) Progetto Blu (Italy)
Ministère de l’économie maritime
(Senegal)
Ricerca Mare Pesca (Italy)
Necton (Italy) Universidad Açores (Portugal)
Ricerca Mare Pesca (Italy)
Dr. Ali Fuat ÖRENÇ
Fishing areas Fishing areas
Tyrrhenian Sea Ionian Sea
Strait of Sicily Ligurian Sea
Ionian Sea Sardinia
Senegal Strait of Sicily
Gibraltar Strait Tyrrhenian Sea
Bay of Biscay Atlantic Morocco
Norway Cadiz
Eastern Spain
Gibraltar Strait
Algarve
Madeira
Southern Med. Sea
*Some historical trap datasets were donated by the GBYP coordinator.
Table 2.1. Eastern Atlantic bluefin catalog of data existing in the ICCAT data bases and data recovered under
GBYP (F: Fishing operation (only catch); CE: Catch and effort; S: Size; F + S: catch + size; CE + S: CE + size
(1950-1979).
Year 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979
Bluefin East_Atlantic Stock unit NC 19,272 23,087 31,616 30,287 28,142 33,381 22,522 27,478 26,475 19,238 19,145 21,253 23,763 9,030 10,284 10,861 9,331 10,564 4,686 5,768 5,972 4,761 4,733 4,687 6,071 9,971 5,120 6,921 5,799 4,767
Ztop10 18129.92 21363.26 28881.8 29120.035 26484.535 31064.555 21475.475 25447.565 25852.14 17409.77 18609.8 20779.96 23393.29 8854.05 10237.045 10807.75 9297.73 10507.88 4483.01 5567.675 5700.31 4557.78 4605.475 4624.48 5830.66 9640.744 5012.358 6389.619 5133 3614.035
%Ztop10 94% 93% 91% 96% 94% 93% 95% 93% 98% 90% 97% 98% 98% 98% 100% 100% 100% 99% 96% 97% 95% 96% 97% 99% 96% 97% 98% 92% 89% 76%
Yes GBYP Species Stock Status FlagName GearGrp Values 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979
1 BFT ATE CP EU.España TP t1 6764 4508 4858 7750 6397 7242 7744 9200 8000 4800 5700 4700 4700 1800 2500 3200 1400 3000 1100 1900 1500 600 250 504 13 448 490 339 450 600
1 BFT ATE CP EU.España TP t2 -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 BFT ATE EU.España TP GBYP F F F F F F F F F F F F F F F F F F F F F F F F F F F F
1 BFT ATE CP Norway PS t1 2199.92 6728.26 14751.8 10217.035 12144.535 13393.555 5313.475 6436.565 3860.14 3240.77 4214.8 8552.96 8730.29 167.05 1461.045 2505.75 999.73 2014.88 753.01 841.675 470.31 652.78 430.475 421.48 868.66 988 529 764 221 60
1 BFT ATE CP Norway PS t2 b b b b b b b b b b b b b b b b b b b b b b b b b b b b b ab
1 BFT ATE Norway PS GBYP S S S S S S
1 BFT ATE CP EU.España BB t1 996 1086 1424 1192 979 1417 1338 1604 1526 1021 645 546 572 635 676 1199 1723 945 1084 1292 2285 2375 2292 2602 1635 1923.448 1418.747 2207.32 2813.812 1748.845
1 BFT ATE CP EU.España BB t2 -1 -1 -1 -1 -1 -1 b -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 a ac abc abc abc
1 BFT ATE EU.España BB GBYP CE CE CE CE+S CE CE CE+S CE CE CE CE CE CE CE CE CE CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE CE CE CE CE
BFT ATE CP Japan LL t1 33 2 56 481 204 2484 1618 582 404 50 100 13 2 21 157 240 44 2195 2900 1973 1594 577 630
BFT ATE CP Japan LL t2 b ab a a a a a a a ab ab a ab a ab ab ab ab ab ab ab ab ab ab
1 BFT ATE CP Maroc TP t1 3347 5784 7961 5378 3714 1377 3648 2318 2256 1882 1601 1331 635 59 286 63 122 1 7 222
1 BFT ATE CP Maroc TP t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 a a -1 -1
1 BFT ATE Maroc TP GBYP F F F F F F F F F F F F F F F F F F F F F F F F F
BFT ATE CP EU.France BB t1 1869 2893 2362 2364 3451 3031 1453 1550 1303 2031 553 907 965 543 400 621 1624 860 390 534 732 680 740 540 522 692 267 592 723 275
BFT ATE CP EU.France BB t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 b -1 b b -1 -1 -1 -1
BFT ATE CP Maroc PS t1 2539 2286 2994 1628 1419 2059 906 1778 2048 453 678 406 30 531 512 590 2624 331 662 36 206
BFT ATE CP Maroc PS t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
BFT ATE CP Maroc UN t1 4800 4800 3400 4900 2300 4800
BFT ATE CP Maroc UN t2 -1 -1 -1 -1 -1 -1
1 BFT ATE CP EU.Portugal TP t1 1501 1348 2086 2697 1213 1181 2280 840 661 883 1016 1499 666 354 303 90 122 209 55 261
1 BFT ATE CP EU.Portugal TP t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
1 BFT ATE EU.Portugal TP GBYP CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE
BFT ATE CP EU.España TR t1 65.296 3.611 9.299 312.188 94.19
BFT ATE CP EU.España TR t2 -1 -1 -1 b -1
BFT ATE CP EU.Denmark UN t1 817.722 1267.11 2112.534 800.28 897.75 1126.548 464.778 614.574 226.746 792.072 48.222 147.744 155.952 3.078 44.118 23.444 2 15 8 1 1 2 1 3 1 2 1 3 0.348 1
BFT ATE CP EU.Denmark UN t2 -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
BFT ATE CP EU.Germany UN t1 230 235 305.748 314.982 664.848 1095.768 569.43 1319.436 389.88 1002.402 445.284 293.436 199.044
BFT ATE CP EU.Germany UN t2 -1 -1 b b b b b b b b b b b
BFT ATE CP EU.France TW t1
BFT ATE CP EU.France TW t2
BFT ATE CP EU.España HL t1 300 450 998
BFT ATE CP EU.España HL t2 -1 -1 -1
BFT ATE CP Libya LL t1
BFT ATE CP Libya LL t2
BFT ATE NCC Chinese Taipei LL t1 138 114 46 12 2 1 12 5 3 2 3
BFT ATE NCC Chinese Taipei LL t2 a a a a a a a a a a a -1
BFT ATE CP EU.Portugal LL t1
BFT ATE CP EU.Portugal LL t2
BFT ATE CP EU.Portugal BB t1 191 303 24 14 56.191 10
BFT ATE CP EU.Portugal BB t2 a a a a a a
BFT ATE CP EU.France GN t1
BFT ATE CP EU.France GN t2
BFT ATE CP Panama LL t1 3 69 208 156 14
BFT ATE CP Panama LL t2 -1 -1 -1 -1 -1
BFT ATE CP EU.France UN t1
BFT ATE CP EU.France UN t2
BFT ATE CP EU.Sweden UN t1 94 222 316 52 95 94 12 96 6 34 42 13 15 4 3 2 8 2 2
BFT ATE CP EU.Sweden UN t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
BFT ATE NCO NEI (Flag related) LL t1
BFT ATE NCO NEI (Flag related) LL t2
BFT ATE CP China P.R. LL t1
BFT ATE CP China P.R. LL t2
BFT ATE CP Maroc SU t1
BFT ATE CP Maroc SU t2 a a a a a a a a
BFT ATE CP Korea Rep. LL t1 19 43 36 15 3 2 1
BFT ATE CP Korea Rep. LL t2 a -1 -1 -1 -1 a -1 -1
BFT ATE CP Norway LL t1 19 30 31 41 57 85 207 85
BFT ATE CP Norway LL t2 -1 -1 -1 -1 -1 -1 -1 -1
BFT ATE CP Libya PS t1
BFT ATE CP Libya PS t2
BFT ATE CP EU.España LL t1 3 100
BFT ATE CP EU.España LL t2 -1 -1
BFT ATE CP EU.France PS t1
BFT ATE CP EU.France PS t2
BFT ATE CP EU.Portugal SU t1
BFT ATE CP EU.Portugal SU t2
BFT ATE CP EU.España SU t1 173
BFT ATE CP EU.España SU t2 -1
BFT ATE CP Guinée Conakry UN t1
BFT ATE CP Guinée Conakry UN t2
BFT ATE CP Maroc LL t1
BFT ATE CP Maroc LL t2
BFT ATE NCO Faroe Islands LL t1
BFT ATE NCO Faroe Islands LL t2
BFT ATE CP EU.France TR t1 11
BFT ATE CP EU.France TR t2 -1
BFT ATE CP Sierra Leone LL t1
BFT ATE CP Sierra Leone LL t2
BFT ATE CP EU.Portugal PS t1
BFT ATE CP EU.Portugal PS t2
BFT ATE CP EU.Poland UN t1 100 100
BFT ATE CP EU.Poland UN t2 -1 -1
BFT ATE CP Maroc GN t1
BFT ATE CP Maroc GN t2
BFT ATE CP EU.France LL t1
BFT ATE CP EU.France LL t2
BFT ATE CP EU.Ireland TW t1
BFT ATE CP EU.Ireland TW t2
BFT ATE NCO NEI (ETRO) UN t1
BFT ATE NCO NEI (ETRO) UN t2
BFT ATE CP EU.France HL t1
BFT ATE CP EU.France HL t2
BFT ATE CP EU.Portugal HL t1 25
BFT ATE CP EU.Portugal HL t2 b
BFT ATE CP Iceland LL t1
BFT ATE CP Iceland LL t2
BFT ATE CP EU.Germany TW t1 14 1 6 2 1 1
BFT ATE CP EU.Germany TW t2 -1 -1 -1 -1 -1 -1
BFT ATE CP EU.España UN t1
BFT ATE CP EU.España UN t2
BFT ATE CP EU.Ireland LL t1
BFT ATE CP EU.Ireland LL t2
BFT ATE CP Panama PS t1
BFT ATE CP Panama PS t2
BFT ATE CP Cape Verde BB t1
BFT ATE CP Cape Verde BB t2
BFT ATE CP EU.United KingdomLL t1
BFT ATE CP EU.United KingdomLL t2
BFT ATE CP EU.Portugal TW t1
BFT ATE CP EU.Portugal TW t2
BFT ATE CP EU.España GN t1
BFT ATE CP EU.España GN t2
BFT ATE CP EU.Ireland GN t1
BFT ATE CP EU.Ireland GN t2
BFT ATE CP EU.Greece TR t1
BFT ATE CP EU.Greece TR t2
BFT ATE CP U.S.A. PS t1
BFT ATE CP U.S.A. PS t2
BFT ATE CP EU.United KingdomTW t1
BFT ATE CP EU.United KingdomTW t2
BFT ATE CP Iceland TW t1
BFT ATE CP Iceland TW t2
BFT ATE CP Japan BB t1 3
BFT ATE CP Japan BB t2 -1 a
BFT ATE CP EU.Ireland TR t1
BFT ATE CP EU.Ireland TR t2
BFT ATE NCO Seychelles LL t1
BFT ATE NCO Seychelles LL t2
BFT ATE CP EU.United KingdomGN t1
BFT ATE CP EU.United KingdomGN t2
BFT ATE CP Norway TW t1
BFT ATE CP Norway TW t2
BFT ATE CP EU.Portugal UN t1
BFT ATE CP EU.Portugal UN t2
BFT ATE CP EU.United KingdomTN t1
BFT ATE CP EU.United KingdomTN t2
1 BFT ATE Senegal BB GBYP
Table 2.2. Eastern Atlantic bluefin catalog of data existing in the ICCAT data bases and data recovered under
GBYP (F: Fishing operation (only catch); CE: Catch and effort; S: Size; F + S: catch + size; CE + S: CE + size
(1980-2011).
Year 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
Bluefin East_Atlantic Stock unit NC 4,211 3,259 6,702 8,152 7,395 4,807 4,687 4,456 6,951 5,433 6,040 6,556 7,619 9,367 6,930 9,650 12,663 13,539 11,376 9,628 10,528 10,086 10,347 7,362 7,410 9,036 7,535 8,037 7,645 6,684 4,379 3,984
Ztop10 4024.883 3107.444 6492.107 7863.835 7086.75 4497.753 4174.172 4013.448 6445.613 4998.42 5732.611 6197.215 6594.69 8136.862 5982.772 8640.259 10862.395 11165.037 9596.25 7843.642 8563.299 8584.38 9283.217 6674.77 6742.032 8084.271 5903.592 7430.749 7311.217 6327.905 4172.287 3788.059
%Ztop10 96% 95% 97% 96% 96% 94% 89% 90% 93% 92% 95% 95% 87% 87% 86% 90% 86% 82% 84% 81% 81% 85% 90% 91% 91% 89% 78% 92% 96% 95% 95% 95%
Yes GBYP Species Stock Status FlagName GearGrp Values 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
1 BFT ATE CP EU.España TP t1 700 787 1916 1862 2271 1630 891 939 2389 1174 1911 1040 1271 1244 1136 941 1207 2723 1525 2005 1416.324 1239.9 1548.4 749.82 862.44 880.45 819.755 1348.322 1194.255 1209.166 887.375 901.908
1 BFT ATE CP EU.España TP t2 -1 -1 -1 b b b ac -1 c c ac ac ab ab ac ab ab ab ac ac ab ac ac c c abc b a abc abc abc b
1 BFT ATE EU.España TP GBYP F F F F F F F F F F F F F F F F F F F F F F F F F F F F F
1 BFT ATE CP Norway PS t1 282 161 50 1 243 31 5
1 BFT ATE CP Norway PS t2 ab ab -1 ab ab abc -1
1 BFT ATE Norway PS GBYP S
1 BFT ATE CP EU.España BB t1 1215.411 952.351 650.634 1419.374 1679.811 1620.532 1113.781 1229.781 1427.892 1663.549 1313.932 996.564 768.562 3281.199 1694.243 2386.396 4594.554 2939.917 2016.605 1216.842 1728.579 2167.937 2410.372 1239.39 1735.316 2011.98 1065.132 1902.813 1726.906 1197.419 641.434 562.408
1 BFT ATE CP EU.España BB t2 abc abc abc abc ac abc abc abc ac ac abc abc ac ac ac ac ac ac ac ac abc ac ac ac ac abc abc abc abc abc abc abc
1 BFT ATE EU.España BB GBYP CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE
BFT ATE CP Japan LL t1 880 515 2573 2609 1514 420 739 900 1169 838 1464 2981 3350 2484 2075 3971 3341 2905 3195 2690 2895 2425 2536 2695 2015 2598 1896 1612 2350.58 1903.978 1155.286 1088.824
BFT ATE CP Japan LL t2 ab ab ab ab ab ab ab ab ab ab ab ab ab ab ab ab ab ab ab ab ab ab abc abc abc abc abc abc abc abc abc abc
1 BFT ATE CP Maroc TP t1 6 72 393 94 166 101 235 304 323 482 94 387 494 210 699 1240 1615 852 1540 2330 1670 1305 1098 1518 1744 2417 1947 1909 1348 1055
1 BFT ATE CP Maroc TP t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 a a a -1 -1 -1 -1 bc abc ab abc abc abc
1 BFT ATE Maroc TP GBYP CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE
BFT ATE CP EU.France BB t1 260 153 150 400 566 380 272 533 479 306 367 448 372 164 66 181 310 134 282 270 91.1 105 150 130 47 50.224 127.61 67.487 62.15 83.094
BFT ATE CP EU.France BB t2 -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 a a a a a
BFT ATE CP Maroc PS t1 155 105 600 187 127 86 122 54 46 462 24 213 458 323 828 692 709 660 150 884 490 855 871 179
BFT ATE CP Maroc PS t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
BFT ATE CP Maroc UN t1
BFT ATE CP Maroc UN t2
1 BFT ATE CP EU.Portugal TP t1 1 15 19 45 2 40.1 15.4 16.9 27 17.654 9.451 24.562 22.6 24.39 46.192 57.098 179.919
1 BFT ATE CP EU.Portugal TP t2 -1 a a a ab ab ab ab ab b b b b b b ab ab
1 BFT ATE EU.Portugal TP GBYP
BFT ATE CP EU.España TR t1 526.472 362.093 159.473 1291.461 685.939 361.221 839.391 310.667 745.721 712.871 299.679 203.651 277.128 552.663 304.529 491.863 372.841 376.12 225.645 93.8 192.196 151.143 67.545 38.56 111.622 195.39 124.919 0.404 0.599
BFT ATE CP EU.España TR t2 -1 -1 c c c c c c c c c c c c c c c c c c c c c c c bc abc abc abc
BFT ATE CP EU.Denmark UN t1 2 1 0.37 0.13 0.013 37 0.002 0.015 1 0.13 0.013 37 0.002 0.015 1
BFT ATE CP EU.Denmark UN t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
BFT ATE CP EU.Germany UN t1
BFT ATE CP EU.Germany UN t2
BFT ATE CP EU.France TW t1 100 22 101 70 441 436 224 400 57 259 247 393.8 456 599 518.1 26 730.879 500.895 179.83 295.168 121.702 28.421
BFT ATE CP EU.France TW t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 abc abc ab ab abc
BFT ATE CP EU.España HL t1 38 70 12 162 28 33 125.593 61.2 62.5 109.04 87.232 11.31 4.238 10.41 6.283 1.977 20.938 18.937
BFT ATE CP EU.España HL t2 -1 -1 -1 ab ac ac ab ac ac c c abc ab abc abc abc abc b
BFT ATE CP Libya LL t1 312 576 477 511 450 47
BFT ATE CP Libya LL t2 -1 -1 -1 -1 -1 -1
BFT ATE NCC Chinese Taipei LL t1 5 6 16 2 3 15.6 196.8 20.4 109.2 6 20 8 61 226 350 222 144 304 158 10 4
BFT ATE NCC Chinese Taipei LL t2 -1 -1 -1 b b -1 -1 -1 -1 -1 -1 ab ab ab ab ab ab ab ab ab ab
BFT ATE CP EU.Portugal LL t1 99 4 4 8 97 246 18 403.6 397.6 383.4 160.149 32.785 1.27 62.928 71.186 5.602 12.028 5.476
BFT ATE CP EU.Portugal LL t2 a a -1 a -1 a a -1 -1 a a a a ab a a a a a
BFT ATE CP EU.Portugal BB t1 24.364 17.116 30.64 53 15.3 3 28 58 29.1 1 12 0.1 1.931 219.375 34 80 447 251.862 5.2 1.979 2.157 6.7 1.464 7.79 6.14 0.215 1.09
BFT ATE CP EU.Portugal BB t2 ab ab ab ab ac ab ab b ab ab a a ab ab ab abc abc ab ab a a a ab abc ab a a a
BFT ATE CP EU.France GN t1 145 31 42 47 74 497 21 144 253 3 72 71 56.6 68 6
BFT ATE CP EU.France GN t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
BFT ATE CP Panama LL t1 117 48 12 17 22 11 4 1 19 550 255 1
BFT ATE CP Panama LL t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 a a
BFT ATE CP EU.France UN t1 101 25 75 263 818 188.545 5.447 18.861
BFT ATE CP EU.France UN t2 -1 -1 -1 -1 -1 -1 -1 -1 a
BFT ATE CP EU.Sweden UN t1 1 1 1
BFT ATE CP EU.Sweden UN t2 -1 -1 -1
BFT ATE NCO NEI (Flag related) LL t1 85 144 223 68 189 71 208 66
BFT ATE NCO NEI (Flag related) LL t2 -1 -1 -1 -1 -1 -1 -1 -1
BFT ATE CP China P.R. LL t1 85 103 79.6 68.1 39.1 19.3 41 23.695 42 72 119 41.7 38.22 35.929
BFT ATE CP China P.R. LL t2 -1 a a a a a a a a ab a a a ab
BFT ATE CP Maroc SU t1 84 44 255 202 147
BFT ATE CP Maroc SU t2 a -1 -1 -1 -1 -1
BFT ATE CP Korea Rep. LL t1 3 77 4 205 92 203 5.573 0.5 0.081 3.151 1
BFT ATE CP Korea Rep. LL t2 ab -1 -1 -1 a a a a a a -1
BFT ATE CP Norway LL t1
BFT ATE CP Norway LL t2
BFT ATE CP Libya PS t1 486.5
BFT ATE CP Libya PS t2 -1
BFT ATE CP EU.España LL t1 6 104 12 7 16 20 15 32 32 5 8.414 3.3 3.8 0.4 1.24 3.911 2.55 18.464 14.035 9.569
BFT ATE CP EU.España LL t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ac -1 -1 -1 -1 -1 -1 -1
BFT ATE CP EU.France PS t1 223 152.8
BFT ATE CP EU.France PS t2 -1 -1
BFT ATE CP EU.Portugal SU t1 10 47 16 25 41 102 18 0.2 14 18 34 19 12 0.1 8 0.1 1.2 2.8 2.7 0.017 1.283 0.075 0.334
BFT ATE CP EU.Portugal SU t2 -1 -1 -1 -1 -1 a a a a a a a a a a a a a a a a a a a a
BFT ATE CP EU.España SU t1 15 2 158 12
BFT ATE CP EU.España SU t2 -1 b -1 -1
BFT ATE CP Guinée Conakry UN t1 330
BFT ATE CP Guinée Conakry UN t2 -1
BFT ATE CP Maroc LL t1 2 8 16 273 1.242
BFT ATE CP Maroc LL t2 -1 -1 -1 -1 -1
BFT ATE NCO Faroe Islands LL t1 67 104 118
BFT ATE NCO Faroe Islands LL t2 a -1 -1
BFT ATE CP EU.France TR t1 36 110 76 2 0.021 0.36 0.401
BFT ATE CP EU.France TR t2 -1 -1 -1 -1 -1 -1 -1
BFT ATE CP Sierra Leone LL t1 92.62 118.344
BFT ATE CP Sierra Leone LL t2 -1 a
BFT ATE CP EU.Portugal PS t1 74 3 123.2 0.02 0.014 0.694 0.437 0.624
BFT ATE CP EU.Portugal PS t2 b b ab a a -1 a a a a a
BFT ATE CP EU.Poland UN t1
BFT ATE CP EU.Poland UN t2
BFT ATE CP Maroc GN t1 31 3 6 4 13 10 13 34 30 28 17 11
BFT ATE CP Maroc GN t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 a -1 -1
BFT ATE CP EU.France LL t1 7 2 95.154 0.631 8.926 32.193
BFT ATE CP EU.France LL t2 -1 -1 -1 a a a a
BFT ATE CP EU.Ireland TW t1 16 49.86 20 6.34 15 3 1.476 0.95 2.323 0.484 0.873 1.045 2.15 4.39
BFT ATE CP EU.Ireland TW t2 -1 -1 a a a a a a a a a a abc ab
BFT ATE NCO NEI (ETRO) UN t1 6 3 4 5 6 74 4
BFT ATE NCO NEI (ETRO) UN t2 -1 -1 -1 -1 -1 -1 -1
BFT ATE CP EU.France HL t1 4.115 73.503
BFT ATE CP EU.France HL t2 -1 -1
BFT ATE CP EU.Portugal HL t1 0.4 0.839 1.162 2.808 1 2 1
BFT ATE CP EU.Portugal HL t2 b b b ac abc ac abc b b -1 b b
BFT ATE CP Iceland LL t1 1 27 1.133
BFT ATE CP Iceland LL t2 a a a
BFT ATE CP EU.Germany TW t1 2
BFT ATE CP EU.Germany TW t2 -1
BFT ATE CP EU.España UN t1 2 2 3 7.937 9.1
BFT ATE CP EU.España UN t2 a a a a -1 -1 a
BFT ATE CP EU.Ireland LL t1 14 2 0.96
BFT ATE CP EU.Ireland LL t2 -1 -1 -1
BFT ATE CP Panama PS t1 12
BFT ATE CP Panama PS t2 -1
BFT ATE CP Cape Verde BB t1 10 1
BFT ATE CP Cape Verde BB t2 a -1
BFT ATE CP EU.United KingdomLL t1 0.401 10
BFT ATE CP EU.United KingdomLL t2 -1 -1
BFT ATE CP EU.Portugal TW t1 7
BFT ATE CP EU.Portugal TW t2 a
BFT ATE CP EU.España GN t1 2 4
BFT ATE CP EU.España GN t2 -1 a
BFT ATE CP EU.Ireland GN t1 3 1.2 0.4 1.23
BFT ATE CP EU.Ireland GN t2 -1 -1 a a
BFT ATE CP EU.Greece TR t1 5
BFT ATE CP EU.Greece TR t2 -1
BFT ATE CP U.S.A. PS t1 5
BFT ATE CP U.S.A. PS t2 -1
BFT ATE CP EU.United KingdomTW t1 1 2 0.42 0.27 0.003 0.561
BFT ATE CP EU.United KingdomTW t2 -1 -1 -1 -1 a a
BFT ATE CP Iceland TW t1 1 2.062
BFT ATE CP Iceland TW t2 a ab
BFT ATE CP Japan BB t1
BFT ATE CP Japan BB t2
BFT ATE CP EU.Ireland TR t1 2 0.16
BFT ATE CP EU.Ireland TR t2 a a
BFT ATE NCO Seychelles LL t1 1.635
BFT ATE NCO Seychelles LL t2 -1
BFT ATE CP EU.United KingdomGN t1 1 0.146 0.341 0.067
BFT ATE CP EU.United KingdomGN t2 -1 -1 a -1
BFT ATE CP Norway TW t1 0.3
BFT ATE CP Norway TW t2 ab
BFT ATE CP EU.Portugal UN t1 0.23
BFT ATE CP EU.Portugal UN t2 a
BFT ATE CP EU.United KingdomTN t1 0.012
BFT ATE CP EU.United KingdomTN t2 -1
1 BFT ATE Senegal BB GBYP CE+S
Table 3.1. Mediterranean bluefin catalog of data existing in the ICCAT data bases and data recovered under
GBYP (F: Fishing operation (only catch); CE: Catch and effort; S: Size; F + S: catch + size; CE + S: CE + size
(1950-1979).
Year 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979
Bluefin East_Med Stock unit NC 5,597 5,708 5,354 7,042 6,710 6,232 4,900 6,838 6,395 5,454 4,815 5,614 4,794 6,460 6,295 5,997 5,326 8,744 7,933 8,690 4,694 6,195 5,954 6,051 13,056 11,241 17,073 11,797 8,846 7,456
Ztop10 3857 3609 2945 4771 4198 3690 3379 4392 4541 3311 2554 2895 2499 2860 3313 2299 3521 5668 6080 6953 3354 5114 5479 5412 12520 10778 16386 11110 8247 6819
%Ztop10 69% 63% 55% 68% 63% 59% 69% 64% 71% 61% 53% 52% 52% 44% 53% 38% 66% 65% 77% 80% 71% 83% 92% 89% 96% 96% 96% 94% 93% 91%
Yes GBYP Species Stock Status FlagName GearGrp Values 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979
BFT MED CP EU.France PS t1 1000 1500 2500 1500 1100 2200 1100 1400 1800 1600 3800 3182 1566 1527
BFT MED CP EU.France PS t2 -1 -1 -1 -1 c c c c c abc abc abc abc abc
1 BFT MED CP EU.Italy PS t1 722 476 592 555 366 239 217 164 116 349 332 1256 990 301 630 1088 691 1828 1203 1336 2783 2700 6000 6270 9607 5431 4663 3705
1 BFT MED CP EU.Italy PS t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 b -1 a -1 -1
1 BFT MED EU.Italy PS GBYP
BFT MED CP Turkey PS t1
BFT MED CP Turkey PS t2
1 BFT MED CP EU.Italy TP t1 2200 1978 1044 2007 1752 1589 1560 2571 2736 1823 1229 1423 1280 1227 1652 1264 945 1949 1739 1324 961 1044 835 367 739 713 650 698 210 195
1 BFT MED CP EU.Italy TP t2 -1 -1 -1 -1 -1 -1 b b b b b b b b b b b b b b b b b b b b b ab b b
1 BFT MED EU.Italy TP GBYP
BFT MED CP Tunisie PS t1 11 21 113
BFT MED CP Tunisie PS t2 -1 -1 -1
BFT MED CP EU.España PS t1
BFT MED CP EU.España PS t2
BFT MED CP Libya TP t1 1000 1100 900 1700 1200 1200 1200 1200 1200 1100 1100 1000 800 100 400 600 700 800 1000 2000 208 449 475 1469 780 799 336 677 424
BFT MED CP Libya TP t2 -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
BFT MED CP Croatia PS t1
BFT MED CP Croatia PS t2
BFT MED NCO Yugoslavia Fed. PS t1 657 531 279 588 654 346 253 382 388 224 109 123 87 277 271 134 246 331 150 301 90 326 200 224 317 155 562 932 1049 756
BFT MED NCO Yugoslavia Fed. PS t2 -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
BFT MED CP Japan LL t1 112 246 2195 1260 968 520 61 99
BFT MED CP Japan LL t2 a a ab ab ab ab ab ab
BFT MED CP EU.España LL t1 800 300 400 500 300 600 400 69 129 124 274 192 103 250 68 92 100
BFT MED CP EU.España LL t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 b -1 -1
BFT MED CP EU.Greece UN t1 400 400 400 800 600 1200 900 500 700 700 900 1100 1000 1200 600 700 500 600 500 500
BFT MED CP EU.Greece UN t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
BFT MED CP Algerie UN t1 100 100 1 33 66 49 40 20 150
BFT MED CP Algerie UN t2 -1 -1 -1 -1 -1 -1 -1 -1 -1
1 BFT MED CP EU.Italy LL t1
1 BFT MED CP EU.Italy LL t2
1 BFT MED EU.Italy LL GBYP
BFT MED CP Libya PS t1
BFT MED CP Libya PS t2
BFT MED CP EU.Italy UN t1
BFT MED CP EU.Italy UN t2
BFT MED CP EU.France UN t1 507 816 966 899 798 783 329 615 294 384 31 51
BFT MED CP EU.France UN t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
1 BFT MED CP EU.España TP t1 168 273 553 54 597 60 136 345 282 374 561 620 377 472 653 1235 151 104 4 217 280 53 88 146 11 3 3 2 1
1 BFT MED CP EU.España TP t2 -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 BFT MED EU.España TP GBYP F F F F F F F F F F F F F F F F F F F F F F F F F F F F F F
BFT MED CP Tunisie TP t1 465 410 290 320 355 301 34 85 404 260 376 601 293 307 184 77 153 206 57 52 136 83 66 120 120 131
BFT MED CP Tunisie TP t2 -1 -1 -1 -1 a a a a a a a a a a a a a -1 -1 -1 -1 -1 a a a ab
BFT MED CP Libya LL t1
BFT MED CP Libya LL t2
BFT MED CP Algerie PS t1
BFT MED CP Algerie PS t2
BFT MED CP Panama LL t1 4
BFT MED CP Panama LL t2 -1
BFT MED CP EU.Greece HL t1
BFT MED CP EU.Greece HL t2
BFT MED CP EU.Italy SP t1
BFT MED CP EU.Italy SP t2
BFT MED CP Turkey UN t1 800 400 500 300 300 200 100 100 100 1488 310 393 138 22 68 66 34 17 181 177 127 27
BFT MED CP Turkey UN t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
BFT MED NCO NEI (combined) UN t1
BFT MED NCO NEI (combined) UN t2
BFT MED CP EU.Malta LL t1 21 37 25 47 26 23
BFT MED CP EU.Malta LL t2 -1 -1 -1 -1 -1 -1
1 BFT MED CP Maroc HL t1
1 BFT MED CP Maroc HL t2
1 BFT MED Maroc HL GBYP
BFT MED NCO NEI (MED) LL t1
BFT MED NCO NEI (MED) LL t2
1 BFT MED CP Maroc TP t1 172 11 27 5 37 36 1 7
1 BFT MED CP Maroc TP t2 b -1 -1 -1 -1 -1 -1 -1 -1
1 BFT MED CP Maroc TP GBYP F F F F F F F F F F F F F F
BFT MED NCC Chinese Taipei LL t1
BFT MED NCC Chinese Taipei LL t2
BFT MED CP EU.España SU t1
BFT MED CP EU.España SU t2
BFT MED CP EU.España HL t1
BFT MED CP EU.España HL t2
BFT MED CP EU.France GN t1 400 599 214 668 953 390
BFT MED CP EU.France GN t2 -1 -1 -1 -1 -1 -1
BFT MED NCO NEI (Flag related) LL t1
BFT MED NCO NEI (Flag related) LL t2
BFT MED CP Algerie LL t1
BFT MED CP Algerie LL t2
1 BFT MED CP EU.Italy HL t1 100 100 100 100 100 100 100 100 88 120
1 BFT MED CP EU.Italy HL t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
1 BFT MED EU.Italy HL GBYP
BFT MED CP EU.España UN t1
BFT MED CP EU.España UN t2
BFT MED CP Algerie TP t1 100 100 100 98 62 98 56 52 78 150 150 150 150
BFT MED CP Algerie TP t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
BFT MED CP EU.España BB t1
BFT MED CP EU.España BB t2
BFT MED CP Algerie GN t1
BFT MED CP Algerie GN t2
BFT MED CP Korea Rep. PS t1
BFT MED CP Korea Rep. PS t2
BFT MED CP Libya UN t1 500 392
BFT MED CP Libya UN t2 -1 -1
BFT MED CP Turkey TP t1
BFT MED CP Turkey TP t2
BFT MED CP Korea Rep. LL t1
BFT MED CP Korea Rep. LL t2
BFT MED CP EU.Portugal LL t1
BFT MED CP EU.Portugal LL t2
BFT MED CP EU.Malta UN t1 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
BFT MED CP EU.Malta UN t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
BFT MED CP EU.Greece PS t1
BFT MED CP EU.Greece PS t2
BFT MED CP Maroc PS t1 42 1 2 40 1 7 2
BFT MED CP Maroc PS t2 -1 -1 -1 -1 -1 -1 -1
BFT MED CP EU.Greece LL t1
BFT MED CP EU.Greece LL t2
1 BFT MED CP EU.Italy GN t1
1 BFT MED CP EU.Italy GN t2
1 BFT MED EU.Italy GN GBYP
BFT MED CP Tunisie HL t1 18
BFT MED CP Tunisie HL t2 -1
BFT MED CP Algerie HL t1
BFT MED CP Algerie HL t2
BFT MED CP EU.Cyprus LL t1
BFT MED CP EU.Cyprus LL t2
BFT MED CP Maroc LL t1
BFT MED CP Maroc LL t2
BFT MED CP EU.Italy RR t1
BFT MED CP EU.Italy RR t2
BFT MED CP EU.France SP t1
BFT MED CP EU.France SP t2
BFT MED CP EU.España SP t1 14 88 72 15
BFT MED CP EU.España SP t2 -1 -1 -1 -1
BFT MED CP EU.Malta PS t1
BFT MED CP EU.Malta PS t2
BFT MED CP China P.R. LL t1
BFT MED CP China P.R. LL t2
BFT MED CP Algerie TL t1
BFT MED CP Algerie TL t2
BFT MED CP Maroc GN t1
BFT MED CP Maroc GN t2
BFT MED CP EU.Cyprus PS t1
BFT MED CP EU.Cyprus PS t2
1 BFT MED CP EU.Italy HP t1 12 34 22
1 BFT MED CP EU.Italy HP t2 -1 a -1
1 BFT MED EU.Italy HP GBYP CE+S CE+S CE+S CE+S
BFT MED NCO NEI (MED) PS t1
BFT MED NCO NEI (MED) PS t2
BFT MED NCO NEI (Flag related) HL t1
BFT MED NCO NEI (Flag related) HL t2
BFT MED CP Croatia HL t1
BFT MED CP Croatia HL t2
BFT MED CP Maroc SU t1
BFT MED CP Maroc SU t2 a a a a
BFT MED CP Syria Rep. PS t1
BFT MED CP Syria Rep. PS t2
BFT MED CP Egypt PS t1
BFT MED CP Egypt PS t2
BFT MED CP EU.España TR t1
BFT MED CP EU.España TR t2
BFT MED CP Croatia LL t1
BFT MED CP Croatia LL t2
BFT MED CP Albania PS t1
BFT MED CP Albania PS t2
BFT MED CP Iceland PS t1
BFT MED CP Iceland PS t2
BFT MED CP Syria Rep. LL t1
BFT MED CP Syria Rep. LL t2
BFT MED CP EU.France HL t1
BFT MED CP EU.France HL t2
BFT MED CP EU.France LL t1
BFT MED CP EU.France LL t2
BFT MED NCO Israel UN t1
BFT MED NCO Israel UN t2
BFT MED CP EU.Cyprus HL t1
BFT MED CP EU.Cyprus HL t2
BFT MED CP Croatia SP t1
BFT MED CP Croatia SP t2
BFT MED NCO Serbia & Montenegro PS t1
BFT MED NCO Serbia & Montenegro PS t2
BFT MED CP EU.España GN t1
BFT MED CP EU.España GN t2
BFT MED NCO Serbia & Montenegro UN t1
BFT MED NCO Serbia & Montenegro UN t2
BFT MED CP EU.France TW t1
BFT MED CP EU.France TW t2
BFT MED CP EU.Italy BB t1
BFT MED CP EU.Italy BB t2
BFT MED CP Turkey GN t1
BFT MED CP Turkey GN t2
Table 3.2. Mediterranean bluefin catalog of data existing in the ICCAT data bases and data recovered under
GBYP (F: Fishing operation (only catch); CE: Catch and effort; S: Size; F + S: catch + size; CE + S: CE + size.
(1980-2011) Year 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
Bluefin East_Med Stock unit NC 10,039 10,515 15,706 13,650 17,032 17,203 14,560 13,764 17,167 15,628 17,207 19,872 24,230 24,901 39,810 37,640 38,144 33,616 28,342 22,828 23,238 24,519 23,424 23,801 23,971 26,810 23,154 26,479 16,205 13,066 6,949 5,790
Ztop10 9151 9091 13377 11715 11525 12520 9967 9407 11717 9838 11539 13356 17978 19689 26449 24293 26583 24525 21118 14443 15923.57 16902.1 17387.2 16992.2 16826.95 20273.6 18507.85 20415.34 10643.3 9793.028 4451.182 4216.653
%Ztop10 91% 86% 85% 86% 68% 73% 68% 68% 68% 63% 67% 67% 74% 79% 66% 65% 70% 73% 75% 63% 69% 69% 74% 71% 70% 76% 80% 77% 66% 75% 64% 73%
Yes GBYP Species Stock Status FlagName GearGrp Values 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
BFT MED CP EU.France PS t1 1701 2300 4818 3600 3570 5400 3460 4300 5750 4404 4663 4570 7346 6965 11803 9494 8547 7701 6800 5907 6779.6 6119 5810 5549.4 6339 8328.4 7437.598 9543.488 2536.428 2917.963 1545.691 677.638
BFT MED CP EU.France PS t2 ac abc bc c bc bc c c c abc bc bc b b b b b b bc c c c c b b c bc abc ab ab ab abc
1 BFT MED CP EU.Italy PS t1 6120 5704 6442 5552 5382 4522 4789 2579 2229 2345 2651 2652 3846 4162 4654 3613 7060 7068 3334 1859 2801.114 3255.828 3245.517 3848.7 3751.6 3960.93 4006.145 4310.851 1853.514 2339.383 752.155
1 BFT MED CP EU.Italy PS t2 -1 -1 -1 -1 b b -1 -1 -1 b -1 -1 -1 -1 -1 ac -1 -1 -1 -1 b -1 -1 b b b b a ab abc abc
1 BFT MED EU.Italy PS GBYP CE+S CE+S CE+S CE+S CE+S CE+S
BFT MED CP Turkey PS t1 41 69 972 1343 1707 2059 2459 2817 3084 3466 4219 4616 5093 5899 1200 1070 2100 2300 3300 1075 990 806 918 879.165 665.445 409.377 527.532
BFT MED CP Turkey PS t2 -1 -1 -1 b b -1 -1 b b b b b b b b b b b b b b b ab a a a ab
1 BFT MED CP EU.Italy TP t1 152 209 155 284 327 295 293 310 301 301 279 263 364 199 182 241 297 154 419 308 352.524 426.55 364.122 144.819 118.7 69.43 125.315 93.054 148.562 143.94 280.835 164.747
1 BFT MED CP EU.Italy TP t2 b b b b b -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 b b -1 -1 b -1 -1 b b -1 b abc a a a abc
1 BFT MED EU.Italy TP GBYP CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S
BFT MED CP Tunisie PS t1 147 97 108 110 102 127 109 148 153 94 114 1073 975 1997 2523 1617 2147 1992 1662 2263 2134 2432 2510 740 2266 3245 2542 2618 2679.247 1931.724 1042.18 851.527
BFT MED CP Tunisie PS t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 a a a -1 -1 -1 a -1 abc abc a a ab
BFT MED CP EU.España PS t1 50 277 79 45 110 170 160 300 635 807 1366 1431 1725 2896 1657 1172 1573 1504 1675.984 1452.6 1685.8 1885.53 1777.612 2242.44 2012.796 1649.397 1645.132 1166.69 803.56 877.049
BFT MED CP EU.España PS t2 -1 -1 -1 -1 a -1 -1 -1 a a a a ab ab a a ac ac a a a -1 -1 a a bc ab a a -1
BFT MED CP Libya TP t1 339 255 130 270 274 26 29 65 150 180 134 72 181 100 44.345 74.122 106.757 70.747 33.843 42.252
BFT MED CP Libya TP t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ac ac ab -1 -1 -1 -1
BFT MED CP Croatia PS t1 1418 1076 1058 1410 1220 1360 1088 889 921 930 890 975 1137 827.198 1017.152 1022 816.546 821.295 609.43 369.539 366.005
BFT MED CP Croatia PS t2 a a a a -1 -1 -1 -1 -1 -1 a a a a a a a a a a a
BFT MED NCO Yugoslavia Fed. PS t1 573 376 486 1222 755 1084 796 648 1523 560 940
BFT MED NCO Yugoslavia Fed. PS t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
BFT MED CP Japan LL t1 119 100 961 677 1036 1006 341 280 258 127 172 85 123 793 536 813 765 185 361 381 136 152 390 316 638 378 556 466 79.96 18.453
BFT MED CP Japan LL t2 ab ab ab ab ab ab ab ab ab ab ab ab ab ab ab ab ab a ab a a a ac ac ac abc ac abc ab ac
BFT MED CP EU.España LL t1 100 200 538 233 69 129 117 116 135 98 59 51 28 40 178 368 369 871 253 418 492.644 643.8 436 582.56 528.5 483.74 668.424 744.619 804.457 590.419 240.053 57.805
BFT MED CP EU.España LL t2 -1 -1 -1 b b -1 ac ab ab ac abc ab ab ab ab abc ab ab ab ac ab ac ac c c abc abc abc abc abc abc b
BFT MED CP EU.Greece UN t1
BFT MED CP EU.Greece UN t2 b b b b
BFT MED CP Algerie UN t1 190 220 250 252 254 260 566 420 677 820 782 800 1104 1097 1560 156 156 157 175 179 101 145 145 1586 58
BFT MED CP Algerie UN t2 -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 BFT MED CP EU.Italy LL t1 29 41 62 1 65 63 63 79 102 78 135 1018 2103 2100 1620 292 515 287 260.249 395.169 475.3 302.3 309.97 286.058 217.138 215.618 193.204 520.543 669.517
1 BFT MED CP EU.Italy LL t2 -1 -1 -1 -1 -1 -1 -1 -1 a a b a -1 -1 -1 a -1 ab -1 -1 -1 b b b ab abc abc abc abc
1 BFT MED EU.Italy LL GBYP CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S
BFT MED CP Libya PS t1 129 177 300 568 470 495 598 32 230 195 16.068 200 511.808 872.459 730 1140 1200 1267.009 1047.275 644.583
BFT MED CP Libya PS t2 -1 -1 b -1 -1 -1 -1 -1 -1 a a -1 -1 -1 -1 -1 a -1 -1 -1
BFT MED CP EU.Italy UN t1 48 37 1250 2100 2338 1495 1452 1452 27 50 156 0.479 3.676 1.68 3.168 13 0.1 89.918 130.039
BFT MED CP EU.Italy UN t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 b b -1 -1 b -1 b -1 b -1 a -1
BFT MED CP EU.France UN t1 30 30 30 60 580 500 300 246 300 130 309.1 225.792 613.576 133.608 169.43 184.391 92.63
BFT MED CP EU.France UN t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 a -1 -1 -1 a
1 BFT MED CP EU.España TP t1 3 66 37 621 302 168 219 228 231 470 24 16 6 1 1 1 5 1 0.134 0.6 0.4 0.08 1.1 0.16
1 BFT MED CP EU.España TP t2 -1 -1 -1 -1 -1 -1 -1 -1 c -1 -1 a a a a a a a -1 a a -1 -1 a
1 BFT MED EU.España TP GBYP F CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE CE F CE
BFT MED CP Tunisie TP t1 54 120 188 170 145 163 184 274 409 493 249 243 175 92 169 223 154 95 35 46 13 3 3 5 0.58
BFT MED CP Tunisie TP t2 -1 -1 -1 -1 -1 -1 -1 -1 b b b b b -1 -1 -1 -1 -1 -1 a a a -1 -1 -1
BFT MED CP Libya LL t1 173 164 60 67 802 865 80 448 409 450 1002.357 1867.03 330.85 169.668 393.333 318.438 140 158.23 50.71 34.364
BFT MED CP Libya LL t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 ac a a -1 -1 -1 -1 -1 a b b
BFT MED CP Algerie PS t1 900 1056 778 917 922 753 623 850 650 84
BFT MED CP Algerie PS t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
BFT MED CP Panama LL t1 72 67 74 287 484 467 1499 1498 2850 236
BFT MED CP Panama LL t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
BFT MED CP EU.Greece HL t1 11 131 79 82 105 124 98 348 339 766 915 784 1127 279 233 597 341 394 245 73.2 6.4 6.55 93.179 66.211 135.112 52.239
BFT MED CP EU.Greece HL t2 -1 a a -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 a a -1 -1 a -1 -1 -1 a a a a
BFT MED CP EU.Italy SP t1 10 50 50 53 51 51 442 352 368 410 480 491 360 350 5 415 382.5 400.74 600 500 500.1 500 277.448 16.583 58.206 161.262 66.051
BFT MED CP EU.Italy SP t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 a b -1
BFT MED CP Turkey UN t1 391 565 1
BFT MED CP Turkey UN t2 -1 -1 -1 a
BFT MED NCO NEI (combined) UN t1 773 211 101 1030 1995 109 571 508 610 709
BFT MED NCO NEI (combined) UN t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
BFT MED CP EU.Malta LL t1 24 32 40 31 21 21 41 36 24 29 80.958 105.314 80.213 250.903 571.676 587.218 399.004 393.024 407.059 447.465 376 218.603 240 255.24 264.218 320.674 263.329 144.124 164.947 262.589 135.589 91.771
BFT MED CP EU.Malta LL t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ac ac ac -1 -1 -1 abc bc ab ab ab ab ab
1 BFT MED CP Maroc HL t1 373 816 541 455 634 600 650 195 407 570 597 80 187 19 2 78
1 BFT MED CP Maroc HL t2 -1 c -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
1 BFT MED Maroc HL GBYP C+S C+S C+S C+S C+S C+S C+S C+S C+S C+S
BFT MED NCO NEI (MED) LL t1 1 19 168 183 633 757 341 1750 1349
BFT MED NCO NEI (MED) LL t2 -1 -1 -1 -1 -1 -1 -1 -1 -1
1 BFT MED CP Maroc TP t1 38 110 96 286 1118 912 201 73 703 127 15 63 35 30 39 307 3
1 BFT MED CP Maroc TP t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
1 BFT MED CP Maroc TP GBYP CE CE CE CE
BFT MED NCC Chinese Taipei LL t1 328 709 494 411 278 106 27 169 329 508 445 51 267 5
BFT MED NCC Chinese Taipei LL t2 -1 -1 b b ab ab ab ab ab ab ab ab ab ab
BFT MED CP EU.España SU t1 391 26 415 220 404 225 717 247 126 250 146 336 76 30 55 35 37.802 28.1 11.2 9.09 9
BFT MED CP EU.España SU t2 b b -1 -1 -1 a -1 a ac ab ab a a a a -1 a a a -1 -1
BFT MED CP EU.España HL t1 151 145 267 29 177 553 137 296 10 4 200 93 726 206 69 76 21 67.201 97.9 48.3 8.62 9 2.3 5.998 4.463
BFT MED CP EU.España HL t2 b b -1 ab ab abc ac ac a ab ab ab ab ab ab ac abc ab ac ac c -1 abc a a
BFT MED CP EU.France GN t1
BFT MED CP EU.France GN t2 c
BFT MED NCO NEI (Flag related) LL t1 427 639 171 1066 761 98 17
BFT MED NCO NEI (Flag related) LL t2 -1 -1 -1 -1 -1 -1 -1
BFT MED CP Algerie LL t1 700 109 186 167 712 88 754 339
BFT MED CP Algerie LL t2 -1 -1 -1 -1 -1 -1 ab ab
1 BFT MED CP EU.Italy HL t1 20 20 10 10 10 10 547 128 106 161 324 351 122 186 5 0.309 3.206 0.513 21.49 0.38
1 BFT MED CP EU.Italy HL t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 b b -1 b b
1 BFT MED EU.Italy HL GBYP C+S C+S C+S C+S C+S C+S C+S
BFT MED CP EU.España UN t1 101 22 57 92 127 162 90 226 343 147 396 395 274 58 4 487.774 10.7 7.38 1.38 4.96
BFT MED CP EU.España UN t2 b -1 ac -1 -1 ac ac ac ab ab -1 a -1 a a a a -1 -1 -1
BFT MED CP Algerie TP t1 399 367 290 366 41 5 3 4 2
BFT MED CP Algerie TP t2 -1 -1 -1 -1 -1 -1 -1 -1 -1
BFT MED CP EU.España BB t1 100 53 1699 278 25 148 158 48 206 5 4 11 4 0.9 8.7 16.89 4.74
BFT MED CP EU.España BB t2 -1 -1 b -1 -1 -1 c c ac a -1 -1 ac a -1 -1 -1
BFT MED CP Algerie GN t1 200 158 214 312 287 186 165 75 85 888
BFT MED CP Algerie GN t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
BFT MED CP Korea Rep. PS t1 700 1145 276 335 102
BFT MED CP Korea Rep. PS t2 -1 -1 ab a a
BFT MED CP Libya UN t1 59 16 180 300 300 300 300 84
BFT MED CP Libya UN t2 -1 -1 -1 -1 -1 -1 -1 -1
BFT MED CP Turkey TP t1 825 557 869
BFT MED CP Turkey TP t2 -1 -1 -1
BFT MED CP Korea Rep. LL t1 684 458 591 410 66 26
BFT MED CP Korea Rep. LL t2 a a a a -1 a
BFT MED CP EU.Portugal LL t1 278 320 183 428 446 274 37 54 75.8 60.8 64 1.52 0.34 10.768
BFT MED CP EU.Portugal LL t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 a a a a
BFT MED CP EU.Malta UN t1
BFT MED CP EU.Malta UN t2
BFT MED CP EU.Greece PS t1 40 40 40 40 40 32 32 32 32 32 32 4 5 10 8 8 25 106.65 156 200.1 247.42 207 197.6 37.04 100.994
BFT MED CP EU.Greece PS t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 a -1 a a a
BFT MED CP Maroc PS t1 2 170 222 12 3 514.943 367 98 103
BFT MED CP Maroc PS t2 -1 -1 -1 -1 -1 -1 -1 -1 -1
BFT MED CP EU.Greece LL t1 37 37 37 37 37 67 68 88 57 58 58 3 10 15 12 36 152 208.8 162.4 48.3 31.19 49.81 109.342 51.586 19.059
BFT MED CP EU.Greece LL t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 a a -1 -1 a a ab ab a ab a a a
1 BFT MED CP EU.Italy GN t1 100 100 45 45 45 45 55 203 188 209 72 109 57 150 10 13.182 25.958
1 BFT MED CP EU.Italy GN t2 -1 -1 -1 -1 -1 -1 a a a ab a -1 -1 -1 -1 a -1 b b b
1 BFT MED EU.Italy GN GBYP CE+S CE+S
BFT MED CP Tunisie HL t1 27 1 2 13 60 79 22 34 62 74 43 50 45 43 81 57 92 113 48 43 37 58 15 46 109 4.3 3 4
BFT MED CP Tunisie HL t2 -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
BFT MED CP Algerie HL t1 180 208 159 163 129 39 27 21 20
BFT MED CP Algerie HL t2 -1 -1 -1 -1 -1 -1 -1 -1 -1
BFT MED CP EU.Cyprus LL t1 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 21 31 60.822 85.2 91.325 78.925 10.704 148.81 109.909 0.545 1.838 2.178 2.869 9.877
BFT MED CP EU.Cyprus LL t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 a -1 a a a ab ab ab abc abc abc abc
BFT MED CP Maroc LL t1 106.645 528 107 1
BFT MED CP Maroc LL t2 -1 -1 -1 -1
BFT MED CP EU.Italy RR t1 10 50 50 50 50 50 50 50 50 50 100 150 4 10 0.15 1.916 0.28 0.125
BFT MED CP EU.Italy RR t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
BFT MED CP EU.France SP t1 20 30 30 30 30 30 30 30 30 50 50 30 30 40 50 44.277 34.161 22.444 2.921 13.985 47.79 21.705 9.808 2.067 0.405
BFT MED CP EU.France SP t2 -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
BFT MED CP EU.España SP t1 33 1 55 18 8 10.5 11 9.5 10.4 10 20 7.772 20 9.1 7.629 12.785 7.495
BFT MED CP EU.España SP t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
BFT MED CP EU.Malta PS t1 25 190 130.965 50.02
BFT MED CP EU.Malta PS t2 a -1 ab a -1
BFT MED CP China P.R. LL t1 97 137 93 49
BFT MED CP China P.R. LL t2 -1 bc bc -1
BFT MED CP Algerie TL t1 93 174 88
BFT MED CP Algerie TL t2 -1 -1 -1
BFT MED CP Maroc GN t1 31 13 4 6 16 92 30 17 18 6 6 9 14 20
BFT MED CP Maroc GN t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
BFT MED CP EU.Cyprus PS t1 94 127
BFT MED CP EU.Cyprus PS t2 a a
1 BFT MED CP EU.Italy HP t1 56 24 7 6 5 2 2 4 10 20 5 4.99 1.73 0.65
1 BFT MED CP EU.Italy HP t2 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
1 BFT MED EU.Italy HP GBYP CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S
BFT MED NCO NEI (MED) PS t1 19 49 49
BFT MED NCO NEI (MED) PS t2 -1 -1 -1
BFT MED NCO NEI (Flag related) HL t1 64 42
BFT MED NCO NEI (Flag related) HL t2 -1 -1
BFT MED CP Croatia HL t1 6 1 39 8.455 8.473 6.998 18.946 8.603
BFT MED CP Croatia HL t2 -1 -1 -1 a a ab ab ab
BFT MED CP Maroc SU t1 1 4 12 18 6 44 9
BFT MED CP Maroc SU t2 -1 -1 -1 -1 -1 -1 -1
BFT MED CP Syria Rep. PS t1 16.863 25.534 33.83
BFT MED CP Syria Rep. PS t2 -1 -1 -1
BFT MED CP Egypt PS t1
BFT MED CP Egypt PS t2
BFT MED CP EU.España TR t1 13 15 4 9 8 12.2
BFT MED CP EU.España TR t2 ac ac a -1 ac a
BFT MED CP Croatia LL t1 11 16 10 9 1 0.316 4.259 2.197 0.072 0.417
BFT MED CP Croatia LL t2 -1 -1 -1 a a a a ab ab ab
BFT MED CP Albania PS t1 50 0.154
BFT MED CP Albania PS t2 -1 b
BFT MED CP Iceland PS t1 50
BFT MED CP Iceland PS t2 a
BFT MED CP Syria Rep. LL t1 32.757 14.966
BFT MED CP Syria Rep. LL t2 -1 -1
BFT MED CP EU.France HL t1 23.091 13.971
BFT MED CP EU.France HL t2 a ab
BFT MED CP EU.France LL t1 19.744
BFT MED CP EU.France LL t2 a a a
BFT MED NCO Israel UN t1 14
BFT MED NCO Israel UN t2 -1
BFT MED CP EU.Cyprus HL t1 4 3.478
BFT MED CP EU.Cyprus HL t2 -1 b abc
BFT MED CP Croatia SP t1 4 1 2 0.45
BFT MED CP Croatia SP t2 a a a a
BFT MED NCO Serbia & Montenegro PS t1 2 4
BFT MED NCO Serbia & Montenegro PS t2 -1 -1
BFT MED CP EU.España GN t1 3 2
BFT MED CP EU.España GN t2 -1 -1 a
BFT MED NCO Serbia & Montenegro UN t1 4.35
BFT MED NCO Serbia & Montenegro UN t2 a
BFT MED CP EU.France TW t1 1.048 0.792
BFT MED CP EU.France TW t2 -1 a
BFT MED CP EU.Italy BB t1 0.305 0.249
BFT MED CP EU.Italy BB t2 -1 -1
BFT MED CP Turkey GN t1 0.121
BFT MED CP Turkey GN t2 a a ab
Table 4. Summary of ICCAT - GBYP overlaps.
EU.España Baitboat (BB) EU.España Trap (TP)
EU.España Trap (TP) Maroc Handline (HL)
Norway Purse Seiner (PS) Maroc Trap (TP)
Maroc Trap (TP) EU.Italy Purse Seiner (PS)
EU.Portugal Trap (TP) EU.Italy Longline (LL)
Senegal* Baitboat (BB) EU.Italy Handline (HL)
*Only GBYP data, no ICCAT task I to compare with. EU.Italy Gillnet (GN)
EU.Italy Harpoon (HP)
EU.Italy Trap (TP)
East Atlantic Mediterranean Sea
Table 5. Years in which the 10% criterion is met (by Stock, Flag and Gear).
Comparison by Year, FlagName and Gear (Years where GBYP total catch is 10% larger than ICCAT task I)
EU.España BB EU.España TP
1950 1956, 1958-1958
1952-1971 1962-1963
1973-1975 1966-1975
1979-1980 1995, 2002
1982-1993 (17 years)
1995
(39 years) EU.Italy LL
1998
EU.España TP
1956-1971 EU.Italy HL
1973, 1975, 1978 1999
1998, 1999, 2006
(22 years)
Maroc TP
2001
EU.Portugal TP
1962-1969
(8 years)
East Atlantic Mediterranean Sea
Table 6. Detail of total annual catch (tons) difference between ICCAT Task I data and data recovered under the
GBYP (east Atlantic Ocean). Highlighted years present a difference greater or equal to 10%. EU.España BB EU.España TP
ICCAT t1 GBYP difference ICCAT t1 GBYP difference
1950 996.00 1112.13 TO REVIEW 116.13 1950 6764 6724.5 OK
1951 1086.00 1014.71 OK 1951 4508 3072.1 OK
1952 1424.00 3453.71 TO REVIEW 2029.71 1952 4858 4562 OK
1953 1192.00 2649.50 TO REVIEW 1457.50 1953 7750 7164.4 OK
1954 979.00 3103.83 TO REVIEW 2124.83 1954 6397 6115.9 OK
1955 1417.00 4355.49 TO REVIEW 2938.49 1955 7242 7146 OK
1956 1338.00 3471.36 TO REVIEW 2133.36 1956 7744 16439.2 TO REVIEW 8695.2
1957 1604.00 3943.82 TO REVIEW 2339.82 1957 9200 17485.2 TO REVIEW 8285.2
1958 1526.00 3740.07 TO REVIEW 2214.07 1958 8000 16577.5 TO REVIEW 8577.5
1959 1021.00 2598.85 TO REVIEW 1577.85 1959 4800 9269.2 TO REVIEW 4469.2
1960 645.00 2021.90 TO REVIEW 1376.90 1960 5700 10770.4 TO REVIEW 5070.4
1961 546.00 1219.63 TO REVIEW 673.63 1961 4700 9008.9 TO REVIEW 4308.9
1962 572.00 1057.86 TO REVIEW 485.86 1962 4700 7588.8 TO REVIEW 2888.8
1963 635.00 1292.88 TO REVIEW 657.88 1963 1800 3645.8 TO REVIEW 1845.8
1964 676.00 1276.96 TO REVIEW 600.96 1964 2500 4755.3 TO REVIEW 2255.3
1965 1199.00 1745.09 TO REVIEW 546.09 1965 3200 6031.4 TO REVIEW 2831.4
1966 1723.00 2545.64 TO REVIEW 822.64 1966 1400 2764.5 TO REVIEW 1364.5
1967 945.00 1411.41 TO REVIEW 466.41 1967 3000 5953.1 TO REVIEW 2953.1
1968 1084.00 1438.68 TO REVIEW 354.68 1968 1100 2506.9 TO REVIEW 1406.9
1969 1292.00 2044.25 TO REVIEW 752.25 1969 1900 3247.5 TO REVIEW 1347.5
1970 2285.00 2827.04 TO REVIEW 542.04 1970 1500 2952.6 TO REVIEW 1452.6
1971 2375.00 2990.61 TO REVIEW 615.61 1971 600 1223.1 TO REVIEW 623.1
1972 2292.00 2469.46 OK 1972 250 57.2 OK
1973 2602.00 3313.72 TO REVIEW 711.72 1973 504 867.4 TO REVIEW 363.4
1974 1635.00 2216.64 TO REVIEW 581.64 1974 13 4 OK
1975 1923.45 2186.88 TO REVIEW 263.43 1975 448 893.2 TO REVIEW 445.2
1976 1418.75 1404.05 OK 1976 490 490.24 OK
1977 2207.32 2282.11 OK 1977 339 339.217 OK
1978 2813.81 3089.28 OK 1978 450 633.4 TO REVIEW 183.4
1979 1748.85 2219.74 TO REVIEW 470.89 1979 600 586.8 OK
1980 1215.41 1888.12 TO REVIEW 672.71 1980 700 662.5 OK
1981 952.35 965.42 OK 1981 787 OK
1982 650.63 820.07 TO REVIEW 169.43 1982 1916 OK
1983 1419.37 2642.87 TO REVIEW 1223.50 1983 1862 OK
1984 1679.81 2725.64 TO REVIEW 1045.83 1984 2271 OK
1985 1620.53 1887.12 TO REVIEW 266.58 1985 1630 1630.318 OK
1986 1113.78 2004.01 TO REVIEW 890.23 1986 891 735.233 OK
1987 1229.78 1577.59 TO REVIEW 347.81 1987 939 939.053 OK
1988 1427.89 2269.17 TO REVIEW 841.28 1988 2389 2389.003 OK
1989 1663.55 2203.20 TO REVIEW 539.65 1989 1174 1174.364 OK
1990 1313.93 1549.07 TO REVIEW 235.14 1990 1911 1910.579 OK
1991 996.56 1167.18 TO REVIEW 170.62 1991 1040 1040.26 OK
1992 768.56 1062.13 TO REVIEW 293.56 1992 1271 1271.123 OK
1993 3281.20 3649.83 TO REVIEW 368.64 1993 1244 1244.373 OK
1994 1694.24 1363.65 OK 1994 1136 1136.434 OK
1995 2386.40 2859.64 TO REVIEW 473.24 1995 941 941.162 OK
1996 4594.55 4789.53 OK 1996 1207 1206.896 OK
1997 2939.92 OK 1997 2723 2723.227 OK
1998 2016.61 OK 1998 1525 1975.814 TO REVIEW 450.814
1999 1216.84 OK 1999 2005 3622.689 TO REVIEW 1617.689
2000 1728.58 OK 2000 1416.324 1416.324 OK
2001 2167.94 OK 2001 1239.9 1239.854 OK
2002 2410.37 OK 2002 1548.4 1548.448 OK
2003 1239.39 OK 2003 749.82 749.816 OK
2004 1735.32 OK 2004 862.44 862.439 OK
2005 2011.98 OK 2005 880.45 880.446 OK
2006 1065.13 OK 2006 819.755 947.32 TO REVIEW 127.565
2007 1902.81 OK 2007 1348.322 1348.322 OK
2008 1726.91 OK 2008 1194.255 1198.487 OK
2009 1197.42 OK 2009 1209.166 OK
2010 641.43 OK 2010 887.375 OK
2011 562.41 OK 2011 901.908 OK
EU.Portugal TP Maroc TP
ICCAT t1 GBYP difference ICCAT t1 GBYP difference
1950 1501 1521.3 OK 2001 2330.00 2635.80 TO REVIEW 305.80
1951 1348 1369.1 OK
1952 2086 2099.4 OK
1953 2697 2710.2 OK
1954 1213 1223.4 OK
1955 1181 1189.2 OK
1956 2280 2276.9 OK
1957 840 848.8 OK
1958 661 669.8 OK
1959 883 921.6 OK
1960 1016 937.1 OK
1961 1499 1627.8 OK
1962 666 1940.39 TO REVIEW 1274.39
1963 354 1304.893 TO REVIEW 950.893
1964 303 1267.584 TO REVIEW 964.584
1965 90 515.466 TO REVIEW 425.466
1966 122 314.481 TO REVIEW 192.481
1967 209 423.919 TO REVIEW 214.919
1968 55 302.586 TO REVIEW 247.586
1969 261 828.234 TO REVIEW 567.234
1970 548.681
1971 0.008
1972 11.547
1973
…
Table 7. Detail of total annual catch (tons) difference between ICCAT Task I data and data recovered under the
GBYP (Mediterranean Sea). Highlighted years present a difference greater or equal to 10%.
EU.España TP
ICCAT t1 GBYP difference
1950 168 OK
1951 273 OK
1952 553 102.9 OK
1953 54 7 OK
1954 597 232 OK
1955 60 34.6 OK
1956 136 460.6 TO REVIEW 324.6
1957 345 374 OK
1958 282 397 TO REVIEW 115
1959 374 422.8 TO REVIEW 48.8
1960 561 562.6 OK
1961 620 557.8 OK
1962 377 517.1 TO REVIEW 140.1
1963 472 722.4 TO REVIEW 250.4
1964 653 493.9 OK
1965 1235 827.3 OK
1966 151 573 TO REVIEW 422
1967 104 617.6 TO REVIEW 513.6
1968 4 566.6 TO REVIEW 562.6
1969 217 668.2 TO REVIEW 451.2
1970 280 816.7 TO REVIEW 536.7
1971 53 417.5 TO REVIEW 364.5
1972 88 451 TO REVIEW 363
1973 146 746.4 TO REVIEW 600.4
1974 11 383.5 TO REVIEW 372.5
1975 3 534 TO REVIEW 531
1976 3 0 OK
1977 2 0 OK
1978 1 0.5 OK
1979 23.6
1980
1981 3 0 OK
1982 66 30.796 OK
1983 37 14.64 OK
1984 621 30.965 OK
1985 302 301.805 OK
1986 168 167.996 OK
1987 219 218.814 OK
1988 228 227.765 OK
1989 231 231.216 OK
1990 470 470.272 OK
1991 24 23.936 OK
1992 16 16.49 OK
1993 6 6.449 OK
1994
1995 1 1.279 TO REVIEW 0.279
1996 1 0.83 OK
1997 1 0.934 OK
1998 5 4.5 OK
1999 1 0.623 OK
2000 0.134 0.134 OK
2001 0.6 0.587 OK
2002 0.4 0.441 TO REVIEW 0.041
2003 0.08 0.075 OK
2004 1.1 1.102 OK
2005 0.16 0.157 OK
2006
2007
2008
2009
2010
2011
EU.Italy LL
t1 GBYP difference
1998 292.00 673.91 TO REVIEW 381.91
EU.Italy HL
t1 GBYP difference
1999 0.31 0.48 TO REVIEW 0.17
Table 8. Portuguese traps reported to GBYP by University of Açores for years 1962 to 1970.
1962 1963 1964 1965 1966 1967 1968 1969 1970
annual
catchesunknown unknown unknown unknown unknown unknown unknown unknown unknown
Abóbora Abóbora Abóbora Abóbora Abóbora
Barril (3 Irmãos) Barril (3 Irmãos) Barril (3 Irmãos) Barril (3 Irmãos) Barril (3 Irmãos)
Cabo de Santa
Maria
Cabo de Santa
Maria
Cabo de Santa
Maria
Cabo de Santa
Maria
Cabo de Santa
Maria
Srª do
Livramento
Srª do
Livramento
Srª do
Livramento
Srª do
Livramento
Srª do
Livramento
Srª do
Livramento
Srª do
Livramento
Srª do
Livramento
Medo das Cascas Medo das Cascas Medo das Cascas Medo das Cascas Medo das Cascas Medo das Cascas Medo das Cascas Medo das Cascas Medo das Cascas
daily
catches
Table 9. Spanish traps (East Atlantic) reported to GBYP by IEO.
AREA TrapID TrapName FlagTrap Lat Lon FishingArea DataSource
East Atlantic 15* Las Cabezas UE.ESP 37.15 -7.35 South-Western Spain
Data source: Buen (1914 e 1920-23); Consorcio Nacional Almadrabero - Fossi,
lettera 19 gennaio 1933 (1924-28)
East Atlantic 16 Punta Umbria UE.ESP 37.18 -6.97 South-Western Spain
Data source: Consorcio Nacional Almadrabero - Casimiro Roda, lettera 15
agosto 1934 (1914, 1916-19 e 1931-33); Fossi (1924)
East Atlantic 18* Nuestra Senora de la Cinta UE.ESP 37.15 -6.95 South-Western Spain
Data source: Buen (1914-20 e 1923); Consorcio Nacional Almadrabero - Fossi,
lettera 19 gennaio 1933 (1924-28)
East Atlantic 19* Las Torres UE.ESP 37.05 -6.72 South-Western Spain
Data source: Emilio Martin Bogarin, lettera 21 novembre 1925 (1902-14, 1918 e
1921); Buen (1915-17, 1919-20 e 1922-23); Parodi (1927 e 1933); Consorcio
Nacional Almadrabero - Casimiro Roda, lettera 15 agosto 1934 (1931-32)
East Atlantic 24 Punta de la Isla UE.ESP 36.39 -6.24 South-Western Spain
Data source: Buen (1914 e 1917-23); Paolo Sclaverani, lettera 27 agosto 1934
(1926-29); Consorcio Nacional Almadrabero - Casimiro Roda, lettera 15 agosto
1934 (1931-33)
East Atlantic
26Torre Atalaya- actualmente
Conil de la fronteraUE.ESP 36.30 -6.14 South-Western Spain
Data source: Buen (1914); Fossi (1915-16 e 1918-19); Distinta mattanze (1920-
31); Consorcio Nacional Almadrabero - Casimiro Roda, lettera 15 agosto 1934
(1932); Angelo Parodi, lettera 10 marzo 1934 (1933)
East Atlantic 28 Barbate UE.ESP 36.19 -5.92 South-Western Spain
Data source: Dettaglio mattanze (1910-15 e 1922-26); Buen (1918); Consorcio
Nacional Almadrabero - Fossi, lettera 19 gennaio 1933 (1927-28); Consorcio
Nacional Almadrabero - Casimiro Roda, lettera 15 agosto 1934 (1931-33)
East Atlantic 29 Zahara UE.ESP 36.14 -5.87 South-Western Spain
Data source: Giornali di pesca (1910-28); Consorcio Nacional Almadrabero -
Casimiro Roda, lettera 15 agosto 1934 (1931-33)
East Atlantic 30 Lances de Tarifa UE.ESP 36.14 -5.63 South-Western Spain
Data source: Buen (1914); Consorcio Nacional Almadrabero - Fossi, lettera 19
gennaio 1933 (1923-24, 1927-28 e 1933); Consorcio Nacional Almadrabero -
Casimiro Roda, lettera 15 agosto 1934 (1931-32); Lanata e Barzega, lettera
29/8/1934 (1934)
East Atlantic 67 Suratlantica UE.ESP South-Western Spain San Feliu (1978), Farrugio (1981) : Lozano Cabo (1958)
*No BFTkg data
Table 10. Spanish traps (Mediterranean Sea) reported to GBYP by IEO.
AREA TrapID TrapName FlagTrap Lat Lon FishingArea DataSource
Mediterranean Sea 39 Aguas de Ceuta UE.ESP 36.00 -5.00 Sur Mediterránea- España Archivo General de la Marina Álvaro de Bazán
Mediterranean Sea 40 La Atunara/ La Linea UE.ESP 36.00 -5.00 Sur Mediterránea- España ICCAT (Rodriguez-Roda, 11.12(c) : cons.nat.alm.)
Mediterranean Sea 41 Estepona UE.ESP 36.00 -5.00 Sur Mediterránea- España Archivo Museo Don Álvaro de Bazán
Mediterranean Sea 46 La Azohia UE.ESP 37.00 -1.00 Levante-España Archivo Museo Don Álvaro de Bazán
Mediterranean Sea 68 Surmediterránea UE.ESP Mediterráneo-España San Feliu (1978)
Mediterranean Sea 69 Levante UE.ESP Levante-España San Feliu (1978)
Mediterranean Sea 70 Tramontana UE.ESP Tramontana- España San Feliu (1978)
Mediterranean Sea 71 Baleares UE.ESP Baleares-España San Feliu (1978)
Figure 1. GBYP- ICCAT total annual catches comparison for overlaps found in the eastern Atlantic bluefin tuna
stock.
Figure 2. GBYP- ICCAT total annual catches comparison for overlaps found in the Mediterranean bluefin tuna
stock.
Figure 3. Lekeitio (Bay of Biscay) BFT catches in kg reported to the GBYP programme by IEO and AZTI. IEO
catches are grouped by month while AZTO supplied information on daily catches.
Figure 4. Ondarroa (Bay of Biscay) BFT catches in kg reported to the GBYP programme by IEO and AZTI.
IEO catches are reported in a monthly basis for some years, but also as annual catches for years between 1950
and 1960.
Figure 5. Portuguese traps catches in kg. reported by University Açores to the GBYP programme. Comparison
of catches reported in a monthly basis vs. annual catches
Figure 6. Annual catches of Spanish traps (East Atlantic). Trap IDs: 16- Punta Umbría; 24 – Punta de la Isla, 26-
Torre Atalaya (actualmente Conil de la Frontera), 28-Barbate, 29-Zahara, 30-Lances de Tarifa, 67-Suratlántica.
Figure 7. Annual catches of Spanish traps (Mediterranean Sea). TrapIDs: 39-Aguas de Ceuta, 40- La Atunara-
La Línea, 41-Estepona, 46-La Azohía, 68-Surmediterránea, 69-Levante, 70-Tramontana, 71-Baleares.
Figure 8. Estimated bluefin eastern stock total removals 1950 – 2011 as indicated if the preliminary added
catches from the GBYP (blue area) are included with the current Task I reports (red area).
