a comparison of the gbyp and iccat task i databases

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 Palma1, Juan Luis Gallego1, M’Hamed Idrissi1, Antonio Di Natale1

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 gear 2, 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 Number of records 87761

Traps Number of records 30923

Time range 1903 - 2010

Time range 1512 - 2009

Contractors AZTI (Spain) IEO (Spain) INRH (Morocco) Institute of Marine Research (Norway) Ministère de l’économie maritime (Senegal) Necton (Italy) Ricerca Mare Pesca (Italy)

Contractors* Dr. Alain Fonteneau (France) IEO (Spain) INRH (Morocco) Progetto Blu (Italy) Ricerca Mare Pesca (Italy)

Fishing areas Tyrrhenian Sea Strait of Sicily Ionian Sea Senegal Gibraltar Strait Bay of Biscay Norway

Fishing areas Ionian Sea Ligurian Sea Sardinia Strait of Sicily Tyrrhenian Sea Atlantic Morocco Cadiz Eastern Spain Gibraltar Strait Algarve Madeira Southern Med. Sea

Universidad Açores (Portugal) Dr. Ali Fuat ÖRENÇ

*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 NC Ztop10 %Ztop10

Bluefin East_Atlantic Stock unit

Yes GBYP

Species 1 BFT 1 BFT 1 BFT 1 BFT 1 BFT 1 BFT 1 BFT 1 BFT 1 BFT BFT BFT 1 BFT 1 BFT 1 BFT BFT BFT BFT BFT BFT BFT 1 BFT 1 BFT 1 BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT 1 BFT

Stock

Status

FlagName

ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE

CP CP

EU.España TP EU.España TP EU.España TP Norway PS Norway PS Norway PS EU.España BB EU.España BB EU.España BB Japan LL Japan LL Maroc TP Maroc TP Maroc TP EU.France BB EU.France BB Maroc PS Maroc PS Maroc UN Maroc UN EU.Portugal TP EU.Portugal TP EU.Portugal TP EU.España TR EU.España TR EU.Denmark UN EU.Denmark UN EU.Germany UN EU.Germany UN EU.France TW EU.France TW EU.España HL EU.España HL Libya LL Libya LL Chinese Taipei LL Chinese Taipei LL EU.Portugal LL EU.Portugal LL EU.Portugal BB EU.Portugal BB EU.France GN EU.France GN Panama LL Panama LL EU.France UN EU.France UN EU.Sweden UN EU.Sweden UN NEI (Flag related) LL NEI (Flag related) LL China P.R. LL China P.R. LL Maroc SU Maroc SU Korea Rep. LL Korea Rep. LL Norway LL Norway LL Libya PS Libya PS EU.España LL EU.España LL EU.France PS EU.France PS EU.Portugal SU EU.Portugal SU EU.España SU EU.España SU Guinée Conakry UN Guinée Conakry UN Maroc LL Maroc LL Faroe Islands LL Faroe Islands LL EU.France TR EU.France TR Sierra Leone LL Sierra Leone LL EU.Portugal PS EU.Portugal PS EU.Poland UN EU.Poland UN Maroc GN Maroc GN EU.France LL EU.France LL EU.Ireland TW EU.Ireland TW NEI (ETRO) UN NEI (ETRO) UN EU.France HL EU.France HL EU.Portugal HL EU.Portugal HL Iceland LL Iceland LL EU.Germany TW EU.Germany TW EU.España UN EU.España UN EU.Ireland LL EU.Ireland LL Panama PS Panama PS Cape Verde BB Cape Verde BB EU.United KingdomLL EU.United KingdomLL EU.Portugal TW EU.Portugal TW EU.España GN EU.España GN EU.Ireland GN EU.Ireland GN EU.Greece TR EU.Greece TR U.S.A. PS U.S.A. PS EU.United KingdomTW EU.United KingdomTW Iceland TW Iceland TW Japan BB Japan BB EU.Ireland TR EU.Ireland TR Seychelles LL Seychelles LL EU.United KingdomGN EU.United KingdomGN Norway TW Norway TW EU.Portugal UN EU.Portugal UN EU.United KingdomTN EU.United KingdomTN Senegal BB

CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP NCC NCC CP CP CP CP CP CP CP CP CP CP CP CP NCO NCO CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP NCO NCO CP CP CP CP CP CP CP CP CP CP CP CP CP CP NCO NCO CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP NCO NCO CP CP CP CP CP CP CP CP

GearGrp

1950 19,272 18129.92 94%

1951 23,087 21363.26 93%

1952 31,616 28881.8 91%

1953 30,287 29120.035 96%

1954 28,142 26484.535 94%

1955 33,381 31064.555 93%

1956 22,522 21475.475 95%

1957 27,478 25447.565 93%

1958 26,475 25852.14 98%

1959 19,238 17409.77 90%

1960 19,145 18609.8 97%

1961 21,253 20779.96 98%

1962 23,763 23393.29 98%

1963 9,030 8854.05 98%

1964 10,284 10237.045 100%

1965 10,861 10807.75 100%

1966 9,331 9297.73 100%

1967 10,564 10507.88 99%

1968 4,686 4483.01 96%

1969 5,768 5567.675 97%

1970 5,972 5700.31 95%

1971 4,761 4557.78 96%

1972 4,733 4605.475 97%

1973 4,687 4624.48 99%

1974 6,071 5830.66 96%

1975 9,971 9640.744 97%

1976 5,120 5012.358 98%

1977 6,921 6389.619 92%

1978 5,799 5133 89%

1979 4,767 3614.035 76%

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

t1 t2 GBYP t1 t2 GBYP t1 t2 GBYP t1 t2 t1 t2 GBYP t1 t2 t1 t2 t1 t2 t1 t2 GBYP t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 GBYP

6764 -1

4508 -1

2199.92

6728.26

4858 -1 F 14751.8

7750 -1 F 10217.035

6397 -1 F 12144.535

7242 -1 F 13393.555

7744 -1 F 5313.475

9200 -1 F 6436.565

8000 -1 F 3860.14

4800 -1 F 3240.77

5700 -1 F 4214.8

4700 -1 F 8552.96

4700 -1 F 8730.29

1800 -1 F 167.05

2500 -1 F 1461.045

3200 -1 F 2505.75

1400 -1 F 999.73

3000 -1 F 2014.88

1100 -1 F 753.01

1900 -1 F 841.675

1500 -1 F 470.31

600 -1 F 652.78

250 -1 F 430.475

504 -1 F 421.48

13 -1 F 868.66

448 -1 F 988

490 -1 F 529

339 -1 F 764

450 -1 F 221

600 -1 F 60

b

b S 996 -1 CE

b S 1086 -1 CE

b S 1424 -1 CE

b S 1192 -1 CE+S

b S 979 -1 CE

b 1417 -1 b CE

b 1338 CE+S

b

ab 3347 -1 F 1453 -1

F 1869 -1

F 2893 -1

F 2362 -1

F 2364 -1

F 3451 -1

F 3031 -1

4800 -1 1501 -1 CE

4800 -1 1348 -1 CE

3400 -1 2086 -1 CE

4900 -1 2697 -1 CE

2300 -1 1213 -1 CE

4800 -1 1181 -1 CE

2280 -1 CE

800.28 -1 314.982

897.75 -1 664.848

1126.548 -1 1095.768

464.778 -1 569.43

817.722 -1 230 -1

1267.11 2112.534 -1 -1 235 305.748 -1 b b

b

b

b 1604 -1 CE 33

b

b 1526 -1 CE 2

a 5784 -1 F 1550 -1

b 1021 -1 CE 56

a

a

a

b 572 -1 CE 2484

a

b 635 -1 CE 1618

a

b 676 -1 CE 582

a

b 1199 -1 CE 404

ab

b 1723 -1 CE+S 50

ab

b 945 -1 CE+S 100

a

b 1084 -1 CE+S 13

ab

b 1292 -1 CE+S 2

a

b 2285 -1 CE+S 21

ab

b 2375 -1 CE+S 157

ab

b 2292 -1 CE+S 240

1377 -1 F 907 -1 2994 -1

3648 -1 F 965 -1 1628 -1

2318 -1 F 543 -1 1419 -1

2256 -1 F 400 -1 2059 -1

1882 -1 F 621 -1 906 -1

1601 -1 F 1624 -1 1778 -1

1331 -1 F 860 -1 2048 -1

635 -1 F 390 -1 453 -1

59 -1 F 534 -1 678 -1

286 -1 F 732 -1 406 -1

ab 63 -1 a F 680 -1 b 30 -1

883 -1 CE

1016 -1 CE

1499 -1 CE

666 -1 CE

354 -1 CE

303 -1 CE

90 -1 CE

122 -1 CE

209 -1 CE

55 -1 CE

261 -1 CE

CE

CE

CE

792.072 -1 1002.402

48.222 -1 445.284

147.744 -1 293.436

155.952 -1 199.044

3.078 -1

44.118 -1

23.444 -1

2 -1

15 -1

8 -1

1 -1

1 -1

2 -1

1 -1

5378 -1 F 2031 -1

840 -1 CE

661 -1 CE

614.574 -1 1319.436

226.746 -1 389.88 b

b 546 -1 CE 204

3714 -1 F 553 -1 2286 -1

7961 -1 F 1303 -1 2539 -1

b

b 645 -1 CE 481

b

b

b

b 2602 -1 CE+S 44

ab 122

ab 1

a F 740

F 540 -1 b 512 -1

531 -1

3 -1

b b b b ab S 1635 1923.448 1418.747 2207.32 2813.812 1748.845 -1 a ac abc abc abc CE+S CE CE CE CE CE 2195 2900 1973 1594 577 630 ab ab ab ab ab 7 222 -1 -1 F 522 692 267 592 723 275 b -1 -1 -1 -1 590 2624 331 662 36 206 -1 -1 -1 -1 -1 -1

65.296 -1 2 -1

1 -1

3.611 -1 1 -1

9.299 -1 b 3 -1

138 a

114 a

46 a

12 a

2 a

1 a

12 a

5 a

191 a

3 a

303 a

316 -1

52 -1

95 -1

94 -1

12 -1

96 -1

6 -1

34 -1

42 -1

94.19 -1 1 -1

450 -1

998 -1

13 -1

15 -1

4 -1

3 -1

207 -1

85 -1

a

30 -1

a 19 -1

a 19 -1

31 -1

41 -1

57 -1

85 -1

a 43 -1

a 36 -1

2 a

24 a

3 -1

222 -1

0.348 -1

b

300 -1

94 -1

312.188

3 -1

a

14 a

56.191 a

69 -1

208 -1

156 -1

2 -1

8 -1

2 -1

2 -1

a 15 -1 a

3

a

10 a

a

14 -1

a

2 -1

1 -1

3 -1

100 -1

173 -1

11 -1

100 -1

100 -1

25 b

14 -1

3 -1

1 -1

6 -1

2 -1

1 -1

a

1 -1

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 NC Ztop10 %Ztop10

Bluefin East_Atlantic Stock unit

Yes GBYP

Species 1 BFT 1 BFT 1 BFT 1 BFT 1 BFT 1 BFT 1 BFT 1 BFT 1 BFT BFT BFT 1 BFT 1 BFT 1 BFT BFT BFT BFT BFT BFT BFT 1 BFT 1 BFT 1 BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT 1 BFT

Stock

Status

FlagName

ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE ATE

CP CP

EU.España TP EU.España TP EU.España TP Norway PS Norway PS Norway PS EU.España BB EU.España BB EU.España BB Japan LL Japan LL Maroc TP Maroc TP Maroc TP EU.France BB EU.France BB Maroc PS Maroc PS Maroc UN Maroc UN EU.Portugal TP EU.Portugal TP EU.Portugal TP EU.España TR EU.España TR EU.Denmark UN EU.Denmark UN EU.Germany UN EU.Germany UN EU.France TW EU.France TW EU.España HL EU.España HL Libya LL Libya LL Chinese Taipei LL Chinese Taipei LL EU.Portugal LL EU.Portugal LL EU.Portugal BB EU.Portugal BB EU.France GN EU.France GN Panama LL Panama LL EU.France UN EU.France UN EU.Sweden UN EU.Sweden UN NEI (Flag related) LL NEI (Flag related) LL China P.R. LL China P.R. LL Maroc SU Maroc SU Korea Rep. LL Korea Rep. LL Norway LL Norway LL Libya PS Libya PS EU.España LL EU.España LL EU.France PS EU.France PS EU.Portugal SU EU.Portugal SU EU.España SU EU.España SU Guinée Conakry UN Guinée Conakry UN Maroc LL Maroc LL Faroe Islands LL Faroe Islands LL EU.France TR EU.France TR Sierra Leone LL Sierra Leone LL EU.Portugal PS EU.Portugal PS EU.Poland UN EU.Poland UN Maroc GN Maroc GN EU.France LL EU.France LL EU.Ireland TW EU.Ireland TW NEI (ETRO) UN NEI (ETRO) UN EU.France HL EU.France HL EU.Portugal HL EU.Portugal HL Iceland LL Iceland LL EU.Germany TW EU.Germany TW EU.España UN EU.España UN EU.Ireland LL EU.Ireland LL Panama PS Panama PS Cape Verde BB Cape Verde BB EU.United KingdomLL EU.United KingdomLL EU.Portugal TW EU.Portugal TW EU.España GN EU.España GN EU.Ireland GN EU.Ireland GN EU.Greece TR EU.Greece TR U.S.A. PS U.S.A. PS EU.United KingdomTW EU.United KingdomTW Iceland TW Iceland TW Japan BB Japan BB EU.Ireland TR EU.Ireland TR Seychelles LL Seychelles LL EU.United KingdomGN EU.United KingdomGN Norway TW Norway TW EU.Portugal UN EU.Portugal UN EU.United KingdomTN EU.United KingdomTN Senegal BB

CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP NCC NCC CP CP CP CP CP CP CP CP CP CP CP CP NCO NCO CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP NCO NCO CP CP CP CP CP CP CP CP CP CP CP CP CP CP NCO NCO CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP NCO NCO CP CP CP CP CP CP CP CP

GearGrp

1980 4,211 4024.883 96%

1981 3,259 3107.444 95%

1982 6,702 6492.107 97%

1983 8,152 7863.835 96%

Values

1980

1981

1982

1983

t1 t2 GBYP t1 t2 GBYP t1 t2 GBYP t1 t2 t1 t2 GBYP t1 t2 t1 t2 t1 t2 t1 t2 GBYP t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 GBYP

700 -1 F 282

787 -1 F 161

1916 -1 b F 50 -1 ab

1862

ab

ab 1215.411

abc

952.351 abc

CE 880 ab

650.634 abc

CE 515 ab

6 -1

ab

260 -1 155 -1

153 -1 105 -1

1985

2271

F 1

1630 b

F 243

1988 6,951 6445.613 93%

1986

1987

1988

939 -1 c F

F 31

1989 5,433 4998.42 92%

1990 6,040 5732.611 95%

1989

2389

1990

1174 c

F

1991 6,556 6197.215 95%

1991

1911 ac

F

1992 7,619 6594.69 87%

1992

1040 ac

F

1993 9,367 8136.862 87%

1993

1271 ab

F

1994 6,930 5982.772 86%

1994

1244 ab

F

1995 9,650 8640.259 90%

1995

1136 ac

F

1996 12,663 10862.395 86%

1996

941 ab

F

F

362.093 -1 c 1 -1

1620.532 abc

CE 1514 ab

1113.781 abc

CE 420 ab

150 -1 600 -1

400 -1 187 -1

CE 566 -1 127 -1

159.473

1291.461

685.939

1229.781 abc

CE 739 ab

94 -1

c 0.37 -1

c 0.13 -1

1427.892 ac

CE 900 ab

ab

380 -1 86 -1

166 -1 CE 272 -1 122 -1

101 -1 CE 533 -1

361.221

839.391

310.667

1663.549 ac

CE 1169

1313.932 abc

CE 838 ab

235 -1 CE 479 -1

996.564 abc

CE 1464 ab

304 -1 CE 306 -1

c 0.013 -1

c 37 -1

c 0.002 -1

745.721 c

0.015 -1

712.871 c

768.562 ac

CE 2981 ab

3281.199 ac

CE 3350 ab

1694.243 ac

CE 2484

70 -1

12 -1

5 -1

6 -1

16 -1 b

ab

ab

4594.554 ac

CE 3971 ab

ab

482 -1 CE 448 -1 46 -1

94 -1 CE 372 -1 462 -1

387 -1 CE 164 -1 24 -1

494 -1 CE 66 -1 213 -1

210 -1 CE 181 -1 458 -1

299.679

203.651

277.128

552.663

304.529

491.863

22 -1

c

c

0.13 -1

0.013 -1

101 -1

70 -1

c

c

c

37 -1

441 -1

224 -1

3

15.6 -1

b

196.8 -1

20.4 -1

109.2 -1 99 a

ab

17.116 ab

30.64 ab

53 ab

15.3 ac

3 ab

28 ab

58 b

29.1 ab

1 ab

145 -1 117 -1

48 -1

12 -1

17 -1

22 -1

11 -1

4 a

12

0.1

a 31 -1

a 42 -1

47 -1

ab 74 -1

4 -1 101 -1

1 -1

1 -1

1 -1 85 -1

84 -1 3

a

44 -1

15

19 a

c

255 -1

104 -1

10 -1 15 -1 b

202 -1

144 -1

223 -1

12 -1

7 -1

16 -1

20 -1

47 -1 2

16 -1 158 -1

25 -1

41 -1 a 12 -1

c

18 a

abc 144 -1 19 -1

2

c

15.4 ab

192.196 c

abc 1670 -1 CE 150 -1 884 -1

CE 105 -1 150 -1

40.1 ab

93.8

abc 2330

a CE 91.1 -1 660 -1

16.9 ab

151.143 c

abc 1305 -1 CE 130 -1 490 -1

27 ab

67.545 c

abc 1098 -1 CE 47 -1 855 -1

c

871 -1

17.654 b

38.56

abc 1518 -1 bc CE

9.451 b

111.622 c

bc

1726.906 abc

1612

1197.419 abc

2350.58

abc abc abc 2417 1947 abc ab abc CE CE 50.224 127.61 67.487 -1 a a a 179 -1

24.562

22.6 b

124.919 abc

24.39 b

0.404 abc

641.434 abc

1903.978

1744

b 195.39

901.908 b

abc 1909

1088.824 abc

1348 abc

62.15

1055 abc

83.094 a

46.192 b

562.408 abc

1155.286

a

57.098 ab

179.919 ab

0.599 abc

1 -1

576 -1 61

34

ab 1540

a CE 270 -1 709 -1

ab

c

57 -1 162

ab

ab 852

2011

887.375 abc

259 -1 28 ac

477 -1 226 ab

97 -1 a 80 abc 253 -1 550 -1

247 -1 33 ac

511 -1 350 ab

246

450 -1 222 ab

18 251.862 ab

ab

3 -1 255 -1 a 75 -1

72 -1

66 -1 85 -1 a

68 -1

189 -1

71 -1

208 -1

4 -1

205 -1 a

92

203

ab 403.6 -1 5.2

a 447

393.8 -1 125.593 ab

a 71 -1 1

456 -1 61.2 ac

144 ab 397.6 -1 a 1.979 a 56.6 -1

599 -1 62.5 ac

304

518.1 -1 109.04 c

26 -1 87.232 c

11.31 abc

158

10

ab 383.4

ab 160.149

a 2.157

32.785 a

6.7 a

68 -1

ab

1.27 a

1.464 ab

ab 62.928

ab 7.79

abc

730.879 500.895 179.83 295.168 121.702 28.421 -1 abc abc ab ab abc 4.238 10.41 6.283 1.977 20.938 18.937 abc abc abc abc b 47 -1 4 71.186

a 6.14

ab

5.602 a

0.215 a

12.028 a

5.476 a

a

1.09 a

a

6 -1

a 263 -1

103

79.6 a

68.1 a

39.1 a

19.3 a

818 -1

41 a

188.545 -1

23.695 a

5.447 -1

42 a

72 ab

18.861 -1 a

119 a

41.7 a

38.22 a

35.929 ab

147 -1

15 -1

102

45

225.645

0.015 -1

8

ab 1615 -1 a CE 282 -1 692 -1

a 376.12

400 -1

6 20 -1 -1 ab 4 8 -1 a 1.931 219.375 ab ab 497 21 -1 -1 1 -1 25 -1

77 -1

ab

6 -1

ab 1240 -1 CE 134 -1 828 -1

372.841

0.002 -1

436 -1

ab 699 -1 CE 310 -1 323 -1

2010

1209.166 abc

2011 3,984 3788.059 95%

F

1902.813 abc

1896

2010 4,379 4172.287 95%

2009

1194.255 abc

F

1065.132 abc

2598

2009 6,684 6327.905 95%

2008

1348.322 a

F

2011.98 abc

2015

2008 7,645 7311.217 96%

2007

819.755 b

F

1735.316 ac

2695

2007 8,037 7430.749 92%

2006

880.45 abc

F

1239.39 ac

2536

2006 7,535 5903.592 78%

2005

862.44 c

F

2410.372 ac

2425

2005 9,036 8084.271 89%

2004

749.82 c

F

2167.937 ac

2895

2004 7,410 6742.032 91%

2003

1548.4 ac

F

1728.579 abc

2690

2003 7,362 6674.77 91%

2002

1239.9 ac

F

1216.842 ac

3195

2002 10,347 9283.217 90%

2001

1416.324 ab

F 5 -1

2016.605 ac

2905

2001 10,086 8584.38 85%

2000

2005 ac

F

2939.917 ac

CE 3341

312 -1

24.364

F

2000 10,528 8563.299 81%

1999

1525 ac

ab

2

1999 9,628 7843.642 81%

1998

2723 ab

F

2386.396 ac

CE 2075

323 -1 CE 367 -1 54 -1

c

1 -1

100 -1 38 -1

1998 11,376 9596.25 84%

1997

1207 ab

1 -1 a 526.472 -1 2 -1

1997 13,539 11165.037 82%

abc

ac

ab

1987 4,456 4013.448 90%

891

F

S 1679.811

CE 2609

1986 4,687 4174.172 89%

ac

ab 1419.374

393 -1

1985 4,807 4497.753 94%

1984

b

abc CE 2573

72 -1

1984 7,395 7086.75 96%

32 -1

0.2 a

a

a

32 -1

14 a

5.573

5 -1

18 a

34 a

19 a

12 a

0.1 a

0.1 a

0.081

a

486.5 -1 3.3 -1 ac

8.414 -1

8

a

0.5

1.2 a

a

3.8

0.4 -1

2.8 a

3.151

1 -1

a

1.24 -1

3.911 -1 223 -1

2.55 -1

18.464 -1 152.8 -1

14.035 -1

9.569 -1

2.7 a

0.017 a

a

a

1.283 a

0.075 a

0.334 a

330 -1 2 -1 67

104 -1

a 36 -1

110 -1

76 -1

74

3 ab

a

3 -1

4 -1

5 -1

0.02 -1

a

31 -1

6 -1

273 -1

1.242 -1

0.021 -1

123.2

b

16 -1

2 -1 92.62 -1 a

b

8 -1

118 -1

6 -1

74 -1

2

1 -1

3 -1

6 -1 7 -1

4 -1

0.014 a

13 -1

10 -1

13 -1

0.694

a

34 -1

30 -1 a

28

16 -1

49.86 -1 a

20

0.36 -1

0.401 -1

118.344

17 -1

6.34 a

0.437

a

a

0.624 a

11 -1

15 a

2 -1 1.476

3 a

a

0.95 a

a

95.154 -1 a 2.323 a

0.631

8.926 a

0.484

0.873 a

32.193 a

1.045 a

a 2.15

abc

4.39 ab

4 -1 4.115 -1

0.4 b

b

b

0.839

ac

abc

1.162 ac

2.808 abc

1 b

b

b

73.503 -1

b 1 a

27

1.133

a

a

2 -1 2 a

2 a

3

a

10 a

7.937 -1

a 14 -1

2 -1

9.1 -1 a

0.96 -1 12 -1

1 -1 0.401 -1

10 -1

7 a 2 -1

4 a 3 -1

1.2 -1 a

0.4

1 -1 1

2 -1

0.42 -1

1.23 a

5 -1 5 -1 0.27 -1

0.003

0.561

a

a 2.062

a

ab

2

0.16

a

a 1.635 -1

1 -1

0.146 -1 a

0.341

0.067 -1 0.3 ab

0.23 a 0.012 -1 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 NC Ztop10 %Ztop10

Bluefin East_Med Stock unit

Yes GBYP Species BFT BFT 1 BFT 1 BFT 1 BFT BFT BFT 1 BFT 1 BFT 1 BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT 1 BFT 1 BFT 1 BFT BFT BFT BFT BFT BFT BFT 1 BFT 1 BFT 1 BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT 1 BFT 1 BFT 1 BFT BFT BFT 1 BFT 1 BFT 1 BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT 1 BFT 1 BFT 1 BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT 1 BFT 1 BFT 1 BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT 1 BFT 1 BFT 1 BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT

Stock MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED

Status CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP NCO NCO CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP NCO NCO CP CP CP CP NCO NCO CP CP CP NCC NCC CP CP CP CP CP CP NCO NCO CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP NCO NCO NCO NCO CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP NCO NCO CP CP CP CP NCO NCO CP CP NCO NCO CP CP CP CP CP CP

FlagName EU.France EU.France EU.Italy EU.Italy EU.Italy Turkey Turkey EU.Italy EU.Italy EU.Italy Tunisie Tunisie EU.España EU.España Libya Libya Croatia Croatia Yugoslavia Fed. Yugoslavia Fed. Japan Japan EU.España EU.España EU.Greece EU.Greece Algerie Algerie EU.Italy EU.Italy EU.Italy Libya Libya EU.Italy EU.Italy EU.France EU.France EU.España EU.España EU.España Tunisie Tunisie Libya Libya Algerie Algerie Panama Panama EU.Greece EU.Greece EU.Italy EU.Italy Turkey Turkey NEI (combined) NEI (combined) EU.Malta EU.Malta Maroc Maroc Maroc NEI (MED) NEI (MED) Maroc Maroc Maroc Chinese Taipei Chinese Taipei EU.España EU.España EU.España EU.España EU.France EU.France NEI (Flag related) NEI (Flag related) Algerie Algerie EU.Italy EU.Italy EU.Italy EU.España EU.España Algerie Algerie EU.España EU.España Algerie Algerie Korea Rep. Korea Rep. Libya Libya Turkey Turkey Korea Rep. Korea Rep. EU.Portugal EU.Portugal EU.Malta EU.Malta EU.Greece EU.Greece Maroc Maroc EU.Greece EU.Greece EU.Italy EU.Italy EU.Italy Tunisie Tunisie Algerie Algerie EU.Cyprus EU.Cyprus Maroc Maroc EU.Italy EU.Italy EU.France EU.France EU.España EU.España EU.Malta EU.Malta China P.R. China P.R. Algerie Algerie Maroc Maroc EU.Cyprus EU.Cyprus EU.Italy EU.Italy EU.Italy NEI (MED) NEI (MED) NEI (Flag related) NEI (Flag related) Croatia Croatia Maroc Maroc Syria Rep. Syria Rep. Egypt Egypt EU.España EU.España Croatia Croatia Albania Albania Iceland Iceland Syria Rep. Syria Rep. EU.France EU.France EU.France EU.France Israel Israel EU.Cyprus EU.Cyprus Croatia Croatia Serbia & Montenegro Serbia & Montenegro EU.España EU.España Serbia & Montenegro Serbia & Montenegro EU.France EU.France EU.Italy EU.Italy Turkey Turkey

GearGrp PS PS PS PS PS PS PS TP TP TP PS PS PS PS TP TP PS PS PS PS LL LL LL LL UN UN UN UN LL LL LL PS PS UN UN UN UN TP TP TP TP TP LL LL PS PS LL LL HL HL SP SP UN UN UN UN LL LL HL HL HL LL LL TP TP TP LL LL SU SU HL HL GN GN LL LL LL LL HL HL HL UN UN TP TP BB BB GN GN PS PS UN UN TP TP LL LL LL LL UN UN PS PS PS PS LL LL GN GN GN HL HL HL HL LL LL LL LL RR RR SP SP SP SP PS PS LL LL TL TL GN GN PS PS HP HP HP PS PS HL HL HL HL SU SU PS PS PS PS TR TR LL LL PS PS PS PS LL LL HL HL LL LL UN UN HL HL SP SP PS PS GN GN UN UN TW TW BB BB GN GN

Values t1 t2 t1 t2 GBYP t1 t2 t1 t2 GBYP t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 GBYP t1 t2 t1 t2 t1 t2 t1 t2 GBYP t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 GBYP t1 t2 t1 t2 GBYP t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 GBYP t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 GBYP t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 GBYP t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2

1950 5,597 3857 69%

1951 5,708 3609 63%

1952 5,354 2945 55%

1953 7,042 4771 68%

1954 6,710 4198 63%

1955 6,232 3690 59%

1956 4,900 3379 69%

1957 6,838 4392 64%

1958 6,395 4541 71%

1959 5,454 3311 61%

1960 4,815 2554 53%

1961 5,614 2895 52%

1962 4,794 2499 52%

1963 6,460 2860 44%

1964 6,295 3313 53%

1965 5,997 2299 38%

1966 5,326 3521 66%

1967 8,744 5668 65%

1968 7,933 6080 77%

1950

1951

1952

1953

1954

1955

1956

1957

1958

1959

1960

1961

1962

1963

1964

1965

722 -1

476 -1

592 -1

555 -1

366 -1

239 -1

217 -1

164 -1

116 -1

349 -1

332 -1

1256 -1

990 -1

301 -1

1966 1000 -1 630 -1

1967 1500 -1 1088 -1

1968 2500 -1 691 -1

1044 -1

2007 -1

1752 -1

1589 -1 b

1560

2200 -1

1978 -1

2571 b

2736 b

1823 b

1229 b

1423 b

1280 b

1227 b

1652 b

1264 b

945 b

1949 b

1969 8,690 6953 80%

1969 1500 -1 c 1828 -1

1739 b

1970 4,694 3354 71%

1324 b

1971 6,195 5114 83%

1970 1100

1971 2200 c

1203 -1

367 b

1975 11,241 10778 96%

1976 17,073 16386 96%

1977 11,797 11110 94%

1978 8,846 8247 93%

1975 1976 1977 1978 1979 1600 3800 3182 1566 1527 abc abc abc abc abc 6000 6270 9607 5431 4663 3705 -1 b -1 a -1 -1

739 b

713 b

650 b

698 ab

210 b

11 -1

113 -1

424 -1

1100 -1

900 -1

1700 -1

1200 -1

1200 -1

1200 -1

1200 -1

1200 -1

1100 -1

1100 -1

1000 -1

800 -1

100 -1

400 -1

600 -1

700 -1

800 -1

1000 -1

2000 -1

208 -1

449 -1

475 -1

1469 -1

780 -1

799 -1

336 -1

677 -1

657 -1

531 -1

279 -1

588 -1

654 -1

346 -1

253 -1

382 -1

388 -1

224 -1

109 -1

123 -1

87 -1

277 -1

271 -1

134 -1

246 -1

331 -1

150 -1

301 -1

90 -1

326 -1

200 -1 112

224 -1 246

317 -1 2195

155 -1 1260

562 -1 968

932 -1 520

1049 -1 61

300 -1 600 -1

400 -1 700 -1

500 -1 500 -1

300 -1 600 -1

600 -1 500 -1

400 -1 500 -1

69 -1

129 -1

124 -1

1000 -1

800 -1 1200 -1

100 -1

100 -1

1 -1

400 -1

400 -1

507 -1 168 -1 F

400 -1

816 -1 273 -1 F

465 -1

800 -1

966 -1 553 -1 F

410 -1

600 -1

899 -1 54 -1 F

290 -1

1200 -1

798 -1 597 -1 F

320 -1 a

900 -1

783 -1 60 -1 F

355

500 -1

329 -1 136 -1 F

700 -1

615 -1 345 -1 F

301

700 -1

294 -1 282 -1 F

384 -1 374 -1 F

34

a

900 -1

1100 -1

561 -1 F

620 -1 F

377 -1 F

85

a

472 -1 F

404

a

a

653 -1 F

260 a

1235 -1 F

376 a

151 -1 F

601 a

104 -1 F

293 a

4 -1 F

307 a

217 -1 F

184 a

280 -1 F

77 a

53 -1 F

153 a

a

88 -1 F

206 -1

ab 274 -1

146 -1 F

57 -1

ab 103 -1

33 -1

66 -1

11 -1 F

52 -1

ab

192 -1

49 -1

3 -1 F

136 -1

ab 250 -1 b

3 -1 F

83 -1 a

ab

756 -1 99 ab

68

92 -1

100 -1

40 -1

20 -1

150 -1

31 -1 1 -1

2 -1 F

66

195 b

21 -1

1000 -1

a

1979 7,456 6819 91%

1974 1800 c

2700 -1

835 b

1974 13,056 12520 96%

1973 1400 c

2783 -1

1044 b

1973 6,051 5412 89%

1972 1100 c

1336 -1

961 b

1972 5,954 5479 92%

F 120

a

51 -1

F 120

a

131 ab

4 -1

800 -1

F

F

F

F

F

F

F

F

400 -1

F

500 -1

F

300 -1

F

100 -1

100 -1

100 -1

100 -1

100 -1

98 -1

100 -1

62 -1

100 -1

98 -1

100 -1

56 -1

100 -1

52 -1

100 -1

200 -1

599 -1

100 -1

100 -1

172 -1

b F

F

400 -1

100 -1

300 -1

11 -1

214 -1

668 -1

953 -1

100 -1

100 -1

27 -1

310 -1

393 -1

138 -1

5 -1

22 -1

68 -1

66 -1

34 -1

17 -1

181 -1

177 -1

127 -1

27 -1

21 -1

37 -1

25 -1

47 -1

26 -1

23 -1

88 -1

120 -1

37 -1

36 -1

1 -1

7 -1

100 -1

100 -1

100 -1

100 -1

100 -1

100 -1

100 -1

100 -1

500 -1

392 -1

2 -1

40 -1

1 -1

7 -1

390 -1

150 -1

100 -1

1488 -1

F

78 -1

100 -1

100 -1

100 -1

100 -1

100 -1

100 -1

100 -1

150 -1

100 -1

150 -1

150 -1

100 -1

42 -1

1 -1

2 -1

18 -1

14 -1

88 -1

CE+S

a

a

12 -1 a CE+S

a

72 -1

34

15 -1

22 -1 CE+S

CE+S

a

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 NC Ztop10 %Ztop10

Bluefin East_Med Stock unit

Yes GBYP Species BFT BFT 1 BFT 1 BFT 1 BFT BFT BFT 1 BFT 1 BFT 1 BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT 1 BFT 1 BFT 1 BFT BFT BFT BFT BFT BFT BFT 1 BFT 1 BFT 1 BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT 1 BFT 1 BFT 1 BFT BFT BFT 1 BFT 1 BFT 1 BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT 1 BFT 1 BFT 1 BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT 1 BFT 1 BFT 1 BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT 1 BFT 1 BFT 1 BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT BFT

Stock MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED MED

Status CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP NCO NCO CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP NCO NCO CP CP CP CP NCO NCO CP CP CP NCC NCC CP CP CP CP CP CP NCO NCO CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP NCO NCO NCO NCO CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP CP NCO NCO CP CP CP CP NCO NCO CP CP NCO NCO CP CP CP CP CP CP

FlagName EU.France EU.France EU.Italy EU.Italy EU.Italy Turkey Turkey EU.Italy EU.Italy EU.Italy Tunisie Tunisie EU.España EU.España Libya Libya Croatia Croatia Yugoslavia Fed. Yugoslavia Fed. Japan Japan EU.España EU.España EU.Greece EU.Greece Algerie Algerie EU.Italy EU.Italy EU.Italy Libya Libya EU.Italy EU.Italy EU.France EU.France EU.España EU.España EU.España Tunisie Tunisie Libya Libya Algerie Algerie Panama Panama EU.Greece EU.Greece EU.Italy EU.Italy Turkey Turkey NEI (combined) NEI (combined) EU.Malta EU.Malta Maroc Maroc Maroc NEI (MED) NEI (MED) Maroc Maroc Maroc Chinese Taipei Chinese Taipei EU.España EU.España EU.España EU.España EU.France EU.France NEI (Flag related) NEI (Flag related) Algerie Algerie EU.Italy EU.Italy EU.Italy EU.España EU.España Algerie Algerie EU.España EU.España Algerie Algerie Korea Rep. Korea Rep. Libya Libya Turkey Turkey Korea Rep. Korea Rep. EU.Portugal EU.Portugal EU.Malta EU.Malta EU.Greece EU.Greece Maroc Maroc EU.Greece EU.Greece EU.Italy EU.Italy EU.Italy Tunisie Tunisie Algerie Algerie EU.Cyprus EU.Cyprus Maroc Maroc EU.Italy EU.Italy EU.France EU.France EU.España EU.España EU.Malta EU.Malta China P.R. China P.R. Algerie Algerie Maroc Maroc EU.Cyprus EU.Cyprus EU.Italy EU.Italy EU.Italy NEI (MED) NEI (MED) NEI (Flag related) NEI (Flag related) Croatia Croatia Maroc Maroc Syria Rep. Syria Rep. Egypt Egypt EU.España EU.España Croatia Croatia Albania Albania Iceland Iceland Syria Rep. Syria Rep. EU.France EU.France EU.France EU.France Israel Israel EU.Cyprus EU.Cyprus Croatia Croatia Serbia & Montenegro Serbia & Montenegro EU.España EU.España Serbia & Montenegro Serbia & Montenegro EU.France EU.France EU.Italy EU.Italy Turkey Turkey

GearGrp PS PS PS PS PS PS PS TP TP TP PS PS PS PS TP TP PS PS PS PS LL LL LL LL UN UN UN UN LL LL LL PS PS UN UN UN UN TP TP TP TP TP LL LL PS PS LL LL HL HL SP SP UN UN UN UN LL LL HL HL HL LL LL TP TP TP LL LL SU SU HL HL GN GN LL LL LL LL HL HL HL UN UN TP TP BB BB GN GN PS PS UN UN TP TP LL LL LL LL UN UN PS PS PS PS LL LL GN GN GN HL HL HL HL LL LL LL LL RR RR SP SP SP SP PS PS LL LL TL TL GN GN PS PS HP HP HP PS PS HL HL HL HL SU SU PS PS PS PS TR TR LL LL PS PS PS PS LL LL HL HL LL LL UN UN HL HL SP SP PS PS GN GN UN UN TW TW BB BB GN GN

Values t1 t2 t1 t2 GBYP t1 t2 t1 t2 GBYP t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 GBYP t1 t2 t1 t2 t1 t2 t1 t2 GBYP t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 GBYP t1 t2 t1 t2 GBYP t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 GBYP t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 GBYP t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 GBYP t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2 t1 t2

1980 10,039 9151 91%

1981 10,515 9091 86%

1980 1701 ac

1982 15,706 13377 85%

1981 2300 abc

1983 3600

1984 3570

bc 5552 -1 b

5382

c

5704 -1

6442 -1

152

209

155

b

1984 17,032 11525 68%

1982 4818 bc

6120 -1

b

1983 13,650 11715 86%

b

284 b

1985 17,203 12520 73%

1986 14,560 9967 68%

1985 5400 bc

1986 3460 c 4789 -1

b

41 -1 295 -1

69 -1 293 -1

1988 17,167 11717 68%

1987 4300 c

4522 b

327

1987 13,764 9407 68%

1989 15,628 9838 63%

1990 17,207 11539 67%

1988 5750 c

2579 -1 972 -1 b 310 -1

1991 19,872 13356 67%

1992 24,230 17978 74%

1989 4404 abc bc 2229 2345 -1 b

1990 4663 2651 -1

2652 -1

3846 -1

1343

2059 -1 279 -1

2459 -1 b 263 -1

2817

1707 b

301 -1

1991 4570 bc

301 -1

1993 24,901 19689 79%

1992 7346 b

1994 39,810 26449 66%

1995 37,640 24293 65%

1994 11803

1995 9494

1993 6965 b

b 4162 -1 3084

b

3613

7060 -1

3466

4219

4616

b

199 -1

147 -1

97 -1 50 -1 255 -1

339 -1

108 -1 277 -1 130 -1

110 -1

102 -1 79 -1 274 -1

270 -1

127 -1 45 -1 a

109 -1 110

148 -1 170 -1

153 -1 160 -1

94 -1 300 -1 a

114 -1 635

1073 -1 807 a

a

26 -1

573 -1 119

376 -1 100 ab

486 -1 961 ab

1222 -1 677

100 -1

200 -1

ab 538 -1 b

190 -1

220 -1

250 -1

48 -1 30 -1 3 -1

37 -1 30 -1 66 -1

F

CE 54 -1

CE 120 -1

391 -1

565 -1

24 -1

32 -1

755 -1 1036 ab

233

30 -1 37 -1 CE

40 -1

1 -1

566 -1 1 -1

420 -1 65 -1

677 -1 63 -1

820 -1 63 -1

1250 -1

2100 -1

2338 -1

1495 -1

1452 -1

1452 -1

621 -1

302 -1

168 -1

219 -1

CE

ab

CE 163 -1

CE 184 -1

10 -1

11 -1 a 50 -1

21 -1

21 -1

391

26

415 -1 267 -1 ab

b 151

145 b

ab 116

ab

ab 135

ab

CE 274 -1 b

72 -1 79

940 -1 172 ab

ac

228 -1 c CE 409 b

59 abc

231

793 ab

28 ab

129 -1

177 -1 b 27 -1

300

470 -1

16

175

173 -1

24 -1 a CE 243 b 164 -1

60 -1

92 -1 67 -1

a

CE 249

b

1104 -1 78

b

1097 -1 135 b

a CE+S

6 a CE

CE

50 -1

53 -1

41 -1

36 -1

24 -1

29 -1

80.958 -1

105.314 -1

80.213 -1

168 -1 38 -1

183 -1 110 -1

633 -1 96 -1

757 -1 286 -1

341 -1 1118 -1

1750 -1 912 -1

1349 -1 201 -1

73 -1

250

328 -1 146

a

CE

220 -1 29 ab

CE

404 -1 a 177 abc

105 -1 51 -1

74 -1 124 -1 442 -1

287 -1 98 -1 352 -1

484 -1 348 -1 368 -1

467 -1 339 -1 410 -1

250.903 -1

a 134 -1 1360 -1

765 ab

156 -1 2100 -1

773 -1 571.676 -1 373 -1 c

1498 -1 915 -1 491 -1 1 -1 211 -1 587.218 -1 816

703 -1

127 -1

709 -1 b 336

494

93

726

381 a 418 ac

2008 2009 2010 2011 16,205 13,066 6,949 5,790 10643.3 9793.028 4451.182 4216.653 66% 75% 64% 73%

a CE 35 -1 a 409 -1 ac 900 -1

95 -1 448 -1

2850 -1 784 -1 360 -1

236 -1 1127 -1 350 -1

399.004 -1 541 -1

101 -1 393.024 -1 455 -1

15 -1

179 -1 515 -1 ab

300 -1 5 a CE

279 -1 a 5 -1

233

101 -1 287

145 -1 260.249 -1

597

341 -1 400.74 -1

a 415 -1

382.5 -1

1030 1995 -1 -1 407.059 447.465 -1 ac ac 634 600 -1 -1 C+S C+S

63 -1

390

316 ac

436

638 ac

582.56 c

528.5 c

378 556 466 79.96 18.453 abc ac abc ab ac 483.74 668.424 744.619 804.457 590.419 240.053 57.805 abc abc abc abc abc abc b

b b b b 1586 58 -1 -1 475.3 302.3 309.97 286.058 217.138 215.618 193.204 520.543 669.517 -1 b b b ab abc abc abc abc CE+S CE+S CE+S CE+S CE+S CE+S CE+S CE+S 195 16.068 200 511.808 872.459 730 1140 1200 1267.009 1047.275 644.583 a -1 -1 -1 -1 -1 a -1 -1 -1 156 0.479 3.676 1.68 3.168 13 0.1 89.918 130.039 -1 -1 b -1 b -1 b -1 a -1 246 300 130 309.1 225.792 613.576 133.608 169.43 184.391 92.63 -1 -1 -1 -1 -1 a -1 -1 -1 a 1 0.134 0.6 0.4 0.08 1.1 0.16 -1 a a -1 -1 a CE CE CE CE CE CE CE CE F CE 46 13 3 3 5 0.58 a a -1 -1 -1 450 1002.357 1867.03 330.85 169.668 393.333 318.438 140 158.23 50.71 34.364 a a -1 -1 -1 -1 -1 a b b 1056 778 917 922 753 623 850 650 84 -1 -1 -1 -1 -1 -1 -1 -1 -1

157 175 -1 -1 1620 292 -1 a CE+S 32 230 -1 -1 a

500 -1 1

136 152 a ac 492.644 643.8 ab ac ac

a

253 ab

CE+S CE+S 470 495 598 -1 -1 -1 50 -1 b b 60 580 -1 -1 1 1 a a a CE CE CE 169 223 154 -1 -1 -1 802 865 80 -1 -1 -1

1499 -1 766 -1 480 -1

2005 2006 2007 26,810 23,154 26,479 20273.6 18507.85 20415.34 76% 80% 77%

1999 5907

361

871 ab

156 -1 2103 -1

2003 2004 23,801 23,971 16992.2 16826.95 71% 70%

c

ab

369 ab

2002 23,424 17387.2 74%

3334 -1

185 a

368 abc

1560 -1 1018

568 -1

b

813 ab

178 ab

800 -1 102

b

a

2001 24,519 16902.1 69%

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 6779.6 6119 5810 5549.4 6339 8328.4 7437.598 9543.488 2536.428 2917.963 1545.691 677.638 c c c b b c bc abc ab ab ab abc 1859 2801.114 3255.828 3245.517 3848.7 3751.6 3960.93 4006.145 4310.851 1853.514 2339.383 752.155 -1 b -1 -1 b b b b a ab abc abc CE+S CE+S CE+S CE+S CE+S CE+S 5093 5899 1200 1070 2100 2300 3300 1075 990 806 918 879.165 665.445 409.377 527.532 b b b b b b b b b ab a a a ab 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 -1 b -1 -1 b b -1 b abc a a a abc CE+S CE+S CE+S CE+S CE+S CE+S 1992 1662 2263 2134 2432 2510 740 2266 3245 2542 2618 2679.247 1931.724 1042.18 851.527 -1 -1 a a a -1 -1 -1 a -1 abc abc a a ab 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 ac ac a a a -1 -1 a a bc ab a a -1 72 181 100 44.345 74.122 106.757 70.747 33.843 42.252 -1 -1 ac ac ab -1 -1 -1 -1 1088 889 921 930 890 975 1137 827.198 1017.152 1022 816.546 821.295 609.43 369.539 366.005 -1 -1 -1 -1 a a a a a a a a a a a

2147 -1 1657

180 -1 1220 -1

536 ab

40 ab

782 -1 79 -1 a

CE 493

123 ab

51 ab

ab

a

1999 2000 22,828 23,238 14443 15923.57 63% 69%

1998 6800

bc

7068 -1

297

1617 -1 2896

150 -1 1410

1058 a

85 ab

98

2523 -1 1725

1998 28,342 21118 75%

1997 7701 b

CE+S

ab

65 -1 1076 a

67 -1 82 -1 51 -1

131

CE

b

560 -1 127

260 -1 62 -1

19 -1

b

1523 -1 258

254 -1 41 -1

145 -1

31 -1

648 -1 280

117

CE 170 -1

796 -1 341

ab 129 -1 ac

b

252 -1 29 -1

188 -1

1084 -1 1006 ab

69

1997 -1 1431 a

29 -1 1418 a

ab

975 -1 1366

b

b 241 -1 b

182 -1 CE+S

1997 33,616 24525 73%

1996 8547

b 4654 -1 ac

b

364 -1

1996 38,144 26583 70%

35 -1

145 -1 395.169 -1

394 -1 a 600 -1

109 -1 376

571 -1 218.603 ac 650 195 -1 -1 C+S C+S

30 -1

39 -1

508 -1 240 -1 407 -1

245

73.2 -1 500.1 -1

500 -1

6.4 -1 277.448 -1

500 -1

6.55 93.179 66.211 135.112 52.239 -1 a a a a 16.583 58.206 161.262 66.051 -1 a b -1

a 610 709 -1 -1 255.24 264.218 320.674 263.329 144.124 164.947 262.589 135.589 91.771 -1 -1 abc bc ab ab ab ab ab 570 597 80 187 19 2 78 -1 -1 -1 -1 -1 -1 -1 C+S C+S C+S C+S C+S C+S

307 -1

3 -1

CE

225 553 ac

717 -1 a 137 ac

247

126 ac

296

ab 10

a

ab 4

ab

a

ab

278 ab

ab

27 ab

30 a

55

69 ab

329 ab

abc

508 ab

35 37.802 -1 a a 21 67.201 ab ac

76 ac

169 ab

a

206 ab

106 ab

76

a 200

ab

411 b

445 ab

28.1

11.2 48.3 ac

267 ab

9.09 -1 8.62

a 97.9

51 ab

9 -1 9 -1 abc

c

5 ab

2.3

5.998 a

4.463 a

c 427 -1

20 -1

20 -1

10 -1

10 -1

10 -1

10 -1

547 -1

128 -1 C+S

101

22 -1 ac

b

59 -1

100 -1

53 -1

16 -1

180 -1 825 -1

1699 b

92 -1

127 -1 ac

162

90 ac

226 ac

25 -1

300 -1 557 -1

57

278 -1

300 -1

300 -1

300 -1

106 -1

161 -1

C+S 343 ab

148 -1 c

324 -1 C+S

147

171 -1

1066 -1

351 -1

122 -1

186 -1

C+S 396 -1 a

ab

158

639 -1

48 c

761 -1

5 -1 C+S

395

274 -1 a

58

206

5

4 -1

ac

a

98 -1

0.309 -1 b

17 -1 700 -1 3.206

109 -1 0.513

186 -1 21.49 -1 b

b

4 a 399 -1 11 -1 ac 200 -1

487.774

10.7

a 290 -1

366 -1

41 -1 0.9

8.7 -1

a 158 -1

214 -1

312 -1

712 -1

1.38 -1 5 -1 16.89 -1 186 -1 700 -1

4.96 -1 3 -1 4.74 -1 165 -1 1145 -1

88 -1 ab

754

339 ab

b C+S 7.38 -1

a

367 -1 4

167 -1 0.38

C+S

287 -1

4 -1

2 -1

75 -1

85 -1 276 ab

888 -1 335 a

869 -1 684

458

591

410

278 -1

320 -1

183 -1

428 -1

446 -1

274 -1

37 -1

66 -1 54 -1

a

a

a

a

40 -1

40 -1

40 -1

40 -1

40 -1

32 -1

32 -1

32 -1

32 -1

32 -1

32 -1

37 -1 45 -1

37 -1 45 -1 a

37 -1 55

37 -1 203

67 -1 188

68 -1 209

88 -1 72

57 -1 109 -1

58 -1 57 -1

58 -1 150 -1

26 a 75.8 -1

60.8 -1

4 -1

5 -1

10 -1

8 -1

3 -1 a

10

15

12 -1 25.958 -1

64 -1

1.52 a

8 -1

2 -1

100 -1

100 -1

45 -1

37 -1 45 -1

27 -1

1 -1

2 -1

13 -1

60 -1

79 -1

22 -1

34 -1

62 -1

74 -1

43 -1

50 -1

45 -1

43 -1

81 -1

57 -1

92 -1

113 -1

10 -1

10 -1

10 -1

10 -1

10 -1

10 -1

10 -1

10 -1

10 -1

10 -1

10 -1

10 -1

10 -1

10 -1

10 -1

10 -1

10 -1

10 -1

20 -1 1 -1

30 -1 55 -1

30 -1

10 -1 30 -1

50 -1 30 -1

50 -1 30 -1

50 -1 30 -1

50 -1 30 -1

50 -1 30 -1

50 -1 50 -1

50 -1 50 -1

50 -1 30 -1

50 -1 30 -1

100 -1 40 -1

150 -1 50 -1

44.277 -1

34.161 -1

33 -1

93

49 -1

31 -1

13 -1

4 -1

6 -1

16 -1

92 -1

30 -1

17 -1

7 -1

6 -1

5 -1

2 -1

2 -1

4 -1

10 -1

20 -1

a

a

ab

a

a 10 13.182 -1 a

97 -1 bc

137 bc

48 -1 180 -1 21 -1

36 -1 a

0.34 a

25 -1 170 -1 152

a

106.65 -1 222 -1 208.8 a

10.768 a

156 -1 12 -1 162.4 ab

200.1 247.42 207 197.6 37.04 100.994 -1 a -1 a a a 3 514.943 367 98 103 -1 -1 -1 -1 -1 48.3 31.19 49.81 109.342 51.586 19.059 ab a ab a a a

b b b CE+S 58 15 46 109 4.3 3 4 -1 -1 -1 -1 -1 -1 -1 163 129 39 27 21 20 -1 -1 -1 -1 -1 -1 85.2 91.325 78.925 10.704 148.81 109.909 0.545 1.838 2.178 2.869 9.877 -1 a a a ab ab ab abc abc abc abc 106.645 528 107 1 -1 -1 -1 -1 1.916 0.28 0.125 -1 -1 -1 47.79 21.705 9.808 2.067 0.405 -1 -1 -1 -1 -1 11 9.5 10.4 10 20 7.772 20 9.1 7.629 12.785 7.495 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 25 190 130.965 50.02 a -1 ab a -1

CE+S 43 37 -1 -1 208 159 -1 -1 31 60.822 -1 a

4 -1 22.444 -1 18 -1

10 -1 2.921 -1 8 -1

0.15 -1 13.985 -1 10.5 -1

93 -1 18 -1

174 -1 6 -1

88 -1 6 -1

9 -1

5 -1

4.99 -1

1.73 -1

14 -1

20 -1 94

127

a 56 -1 CE+S

CE+S

24 -1 CE+S

CE+S

CE+S

CE+S

CE+S

CE+S

CE+S

CE+S

CE+S

CE+S 19 -1

CE+S 49 -1

CE+S

CE+S

CE+S

CE+S

CE+S

CE+S

4 -1

12 -1

18 -1

6 -1

44 -1

CE+S

CE+S

CE+S

a 0.65 -1

CE+S

CE+S

49 -1

6 -1 1 -1

102 a

84 -1

64 -1 1 -1

42 -1 39 -1

8.455 a

8.473 a

6.998 ab

18.946 ab

8.603 ab

9 -1 16.863 -1

13 ac

15

4

ac

a 11 -1

9 -1 ac 16 -1

8

25.534 -1

33.83 -1

12.2 a

10 -1

9 a

1

0.316

a

a

4.259 a

2.197 ab

0.072 ab

0.417 ab

50 -1

0.154 b

50 a 32.757 -1

14.966 -1 23.091

13.971

a

ab

a

a

19.744 a 14 -1 4 -1

3.478 b 4 a 2 -1

3 -1

1 a

2 a

abc

0.45 a

4 -1

2 -1 a 4.35 a 1.048 -1 a 0.305 -1

0.249 -1 0.121 a

a

ab

0.792

Table 4. Summary of ICCAT - GBYP overlaps. East Atlantic EU.España Baitboat (BB) EU.España Trap (TP) Norway Purse Seiner (PS) Maroc Trap (TP) EU.Portugal Trap (TP) Senegal* Baitboat (BB) *Onl y GBYP da ta , no ICCAT ta s k I to compa re wi th.

Mediterranean Sea EU.España Trap (TP) Maroc Handline (HL) Maroc Trap (TP) EU.Italy Purse Seiner (PS) EU.Italy Longline (LL) EU.Italy Handline (HL) EU.Italy Gillnet (GN) EU.Italy Harpoon (HP) EU.Italy Trap (TP)

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) East Atlantic EU.España

Mediterranean Sea

BB 1950 1952-1971 1973-1975 1979-1980 1982-1993 1995 (39 years)

EU.España

TP 1956, 1958-1958 1962-1963 1966-1975 1995, 2002 (17 years)

EU.Italy

LL 1998

EU.España

TP 1956-1971 1973, 1975, 1978 1998, 1999, 2006 (22 years)

Maroc

TP 2001

EU.Portugal

TP 1962-1969 (8 years)

EU.Italy

HL 1999

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 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 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

EU.Portugal

ICCAT t1 996.00 1086.00 1424.00 1192.00 979.00 1417.00 1338.00 1604.00 1526.00 1021.00 645.00 546.00 572.00 635.00 676.00 1199.00 1723.00 945.00 1084.00 1292.00 2285.00 2375.00 2292.00 2602.00 1635.00 1923.45 1418.75 2207.32 2813.81 1748.85 1215.41 952.35 650.63 1419.37 1679.81 1620.53 1113.78 1229.78 1427.89 1663.55 1313.93 996.56 768.56 3281.20 1694.24 2386.40 4594.55 2939.92 2016.61 1216.84 1728.58 2167.94 2410.37 1239.39 1735.32 2011.98 1065.13 1902.81 1726.91 1197.42 641.43 562.41

GBYP 1112.13 1014.71 3453.71 2649.50 3103.83 4355.49 3471.36 3943.82 3740.07 2598.85 2021.90 1219.63 1057.86 1292.88 1276.96 1745.09 2545.64 1411.41 1438.68 2044.25 2827.04 2990.61 2469.46 3313.72 2216.64 2186.88 1404.05 2282.11 3089.28 2219.74 1888.12 965.42 820.07 2642.87 2725.64 1887.12 2004.01 1577.59 2269.17 2203.20 1549.07 1167.18 1062.13 3649.83 1363.65 2859.64 4789.53

ICCAT t1 1501 1348 2086 2697 1213 1181 2280 840 661 883 1016 1499 666 354 303 90 122 209 55 261

GBYP 1521.3 OK 1369.1 OK 2099.4 OK 2710.2 OK 1223.4 OK 1189.2 OK 2276.9 OK 848.8 OK 669.8 OK 921.6 OK 937.1 OK 1627.8 OK 1940.39 TO REVIEW 1304.893 TO REVIEW 1267.584 TO REVIEW 515.466 TO REVIEW 314.481 TO REVIEW 423.919 TO REVIEW 302.586 TO REVIEW 828.234 TO REVIEW 548.681 0.008 11.547

TO REVIEW OK TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW OK TO REVIEW TO REVIEW TO REVIEW OK OK OK TO REVIEW TO REVIEW OK TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW OK TO REVIEW OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK

2029.71 1457.50 2124.83 2938.49 2133.36 2339.82 2214.07 1577.85 1376.90 673.63 485.86 657.88 600.96 546.09 822.64 466.41 354.68 752.25 542.04 615.61 711.72 581.64 263.43

470.89 672.71 169.43 1223.50 1045.83 266.58 890.23 347.81 841.28 539.65 235.14 170.62 293.56 368.64 473.24

TP

Maroc 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 …

TP

difference 116.13

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 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

ICCAT 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 13 448 490 339 450 600 700 787 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

GBYP 6724.5 3072.1 4562 7164.4 6115.9 7146 16439.2 17485.2 16577.5 9269.2 10770.4 9008.9 7588.8 3645.8 4755.3 6031.4 2764.5 5953.1 2506.9 3247.5 2952.6 1223.1 57.2 867.4 4 893.2 490.24 339.217 633.4 586.8 662.5

2001

ICCAT t1 2330.00

GBYP 2635.80 TO REVIEW

8695.2 8285.2 8577.5 4469.2 5070.4 4308.9 2888.8 1845.8 2255.3 2831.4 1364.5 2953.1 1406.9 1347.5 1452.6 623.1 363.4 445.2

183.4

450.814 1617.689

127.565

TP

difference

1274.39 950.893 964.584 425.466 192.481 214.919 247.586 567.234

1630.318 735.233 939.053 2389.003 1174.364 1910.579 1040.26 1271.123 1244.373 1136.434 941.162 1206.896 2723.227 1975.814 3622.689 1416.324 1239.854 1548.448 749.816 862.439 880.446 947.32 1348.322 1198.487

difference OK OK OK OK OK OK TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW TO REVIEW OK TO REVIEW OK TO REVIEW OK OK TO REVIEW OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK TO REVIEW TO REVIEW OK OK OK OK OK OK TO REVIEW OK OK OK OK OK

difference 305.80

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 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 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

EU.Italy

EU.Italy

ICCAT 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

3 66 37 621 302 168 219 228 231 470 24 16 6

GBYP OK OK 102.9 OK 7 OK 232 OK 34.6 OK 460.6 TO REVIEW 374 OK 397 TO REVIEW 422.8 TO REVIEW 562.6 OK 557.8 OK 517.1 TO REVIEW 722.4 TO REVIEW 493.9 OK 827.3 OK 573 TO REVIEW 617.6 TO REVIEW 566.6 TO REVIEW 668.2 TO REVIEW 816.7 TO REVIEW 417.5 TO REVIEW 451 TO REVIEW 746.4 TO REVIEW 383.5 TO REVIEW 534 TO REVIEW 0 OK 0 OK 0.5 OK 23.6

difference

324.6 115 48.8

140.1 250.4

422 513.6 562.6 451.2 536.7 364.5 363 600.4 372.5 531

0 OK 30.796 OK 14.64 OK 30.965 OK 301.805 OK 167.996 OK 218.814 OK 227.765 OK 231.216 OK 470.272 OK 23.936 OK 16.49 OK 6.449 OK

1 1 1 5 1 0.134 0.6 0.4 0.08 1.1 0.16

1.279 TO REVIEW 0.83 OK 0.934 OK 4.5 OK 0.623 OK 0.134 OK 0.587 OK 0.441 TO REVIEW 0.075 OK 1.102 OK 0.157 OK

0.279

1998

t1 292.00

GBYP 673.91 TO REVIEW

difference 381.91

1999

t1 0.31

GBYP 0.48 TO REVIEW

difference 0.17

0.041

LL

HL

Table 8. Portuguese traps reported to GBYP by University of Açores for years 1962 to 1970. 1962 annual unknown catches Abóbora Barril (3 Irmãos) Cabo de Santa daily Maria catches Srª do Livramento Medo das Cascas

1963

1964

1965

1966

unknown

unknown

unknown

Abóbora Barril (3 Irmãos) Cabo de Santa Maria Srª do Livramento Medo das Cascas

Abóbora Barril (3 Irmãos) Cabo de Santa Maria Srª do Livramento Medo das Cascas

Abóbora Barril (3 Irmãos) Cabo de Santa Maria Srª do Livramento Medo das Cascas

unknown

1967 unknown

1968 unknown

1969 unknown

1970 unknown Abóbora

Barril (3 Irmãos) Cabo de Santa Maria Srª do Srª do Srª do Srª do Livramento Livramento Livramento Livramento Medo das Cascas Medo das Cascas Medo das Cascas Medo das Cascas Medo das Cascas

Table 9. Spanish traps (East Atlantic) reported to GBYP by IEO. AREA

TrapID TrapName

FlagTrap Lat

East Atlantic

15*

Las Cabezas

UE.ESP

37.15

-7.35 South-Western Spain

16 Punta Umbria

UE.ESP

37.18

-6.97 South-Western Spain

East Atlantic

Lon

FishingArea

East Atlantic

18*

Nuestra Senora de la Cinta

UE.ESP

37.15

-6.95 South-Western Spain

East Atlantic

19*

Las Torres

UE.ESP

37.05

-6.72 South-Western Spain

UE.ESP

36.39

-6.24 South-Western Spain

Torre Atalaya- actualmente 26 UE.ESP Conil de la frontera

36.30

-6.14 South-Western Spain

East Atlantic

East Atlantic

24 Punta de la Isla

East Atlantic

28 Barbate

UE.ESP

36.19

-5.92 South-Western Spain

East Atlantic

29 Zahara

UE.ESP

36.14

-5.87 South-Western Spain

East Atlantic East Atlantic *No BFTkg data

30 Lances de Tarifa 67 Suratlantica

UE.ESP UE.ESP

36.14

-5.63 South-Western Spain South-Western Spain

DataSource Data source: Buen (1914 e 1920-23); Consorcio Nacional Almadrabero - Fossi, lettera 19 gennaio 1933 (1924-28) Data source: Consorcio Nacional Almadrabero - Casimiro Roda, lettera 15 agosto 1934 (1914, 1916-19 e 1931-33); Fossi (1924) Data source: Buen (1914-20 e 1923); Consorcio Nacional Almadrabero - Fossi, lettera 19 gennaio 1933 (1924-28) 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) 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) Data source: Buen (1914); Fossi (1915-16 e 1918-19); Distinta mattanze (192031); Consorcio Nacional Almadrabero - Casimiro Roda, lettera 15 agosto 1934 (1932); Angelo Parodi, lettera 10 marzo 1934 (1933) 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) Data source: Giornali di pesca (1910-28); Consorcio Nacional Almadrabero Casimiro Roda, lettera 15 agosto 1934 (1931-33) 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) San Feliu (1978), Farrugio (1981) : Lozano Cabo (1958)

Table 10. Spanish traps (Mediterranean Sea) reported to GBYP by IEO. AREA TrapID TrapName Mediterranean Sea 39 Aguas de Ceuta Mediterranean Sea 40 La Atunara/ La Linea Mediterranean Sea 41 Estepona Mediterranean Sea 46 La Azohia Mediterranean Sea 68 Surmediterránea Mediterranean Sea 69 Levante Mediterranean Sea 70 Tramontana Mediterranean Sea 71 Baleares

FlagTrap Lat Lon FishingArea UE.ESP 36.00 -5.00 Sur Mediterránea- España UE.ESP 36.00 -5.00 Sur Mediterránea- España UE.ESP 36.00 -5.00 Sur Mediterránea- España UE.ESP 37.00 -1.00 Levante-España UE.ESP Mediterráneo-España UE.ESP Levante-España UE.ESP Tramontana- España UE.ESP Baleares-España

DataSource Archivo General de la Marina Álvaro de Bazán ICCAT (Rodriguez-Roda, 11.12(c) : cons.nat.alm.) Archivo Museo Don Álvaro de Bazán Archivo Museo Don Álvaro de Bazán San Feliu (1978) San Feliu (1978) San Feliu (1978) 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, 26Torre 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 AtunaraLa 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).