National Marine Fisheries Service and Department of Fisheries and Oceans – Canada collaborate through the Data Working Group (DWG) to develop a mutually agreed upon data summary of catch and landings of North Pacific albacore landed on west coast of Canada and the United States. The DWG has developed a Data Exchange Template, designed to provide relevant data to the delegations for the treaty between the United States and Canada on Pacific Coast Albacore Tuna vessels and Port Privileges. The summary tables are available here thanks to the respective governments’ willingness to allow public dissemination of this information. (As noted in the tables, the most recent year’s data are considered preliminary and may be subsequently updated.). Updated tables as of 8/1/2023.
Data exchange tables through 2023
All tables in Excel Workbook
Table 1. Catch of Albacore by Canadian and U.S. Albacore Troll and Pole-and-Line Vessels in the North Pacific Ocean 1 | | | | | | | | | | | | | | | | | | | | | | |
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| Canadian Fleet 2, 3 | U.S. Fleet 5, 9 | | | | | | | | | | | | | | | |
Year | Canadian EEZ (%) | U.S. EEZ (%) | High Seas (%) | Total catch (metric tons) | Logbook coverage (%)4 | U.S. EEZ (%) | Canadian EEZ (%) | High Seas (%) | Total catch (metric tons)6 | Logbook coverage (%) 7 | | | | | | | | | | | | | | | |
1995 | 88 | 2.2 | 9.8 | 1,761 | 18 | 5.4 | 5.7 | 88.9 | 8,125 | 63 | | | | | | | | | | | | | | | |
1996 | 16.9 | 45.8 | 37.3 | 3,321 | 24 | 13.5 | 0.1 | 86.4 | 16,962 | 42 | | | | | | | | | | | | | | | |
1997 | 7.2 | 30.5 | 62.3 | 2,166 | 30 | 16.5 | 3.5 | 80.0 | 14,325 | 38 | | | | | | | | | | | | | | | |
1998 | 7.3 | 43.6 | 49.1 | 4,177 | 50 | 14.8 | 0.1 | 85.1 | 14,489 | 35 | | | | | | | | | | | | | | | |
1999 | 16.6 | 66.8 | 16.6 | 2,734 | 71 | 65.3 | 0.8 | 33.9 | 10,120 | 35 | | | | | | | | | | | | | | | |
2000 | 9.6 | 73.1 | 17.4 | 4,531 | 68 | 69.6 | 0.2 | 30.2 | 9,714 | 41 | | | | | | | | | | | | | | | |
2001 | 13.5 | 72.7 | 13.9 | 5,248 | 81 | 57.0 | 0.3 | 42.7 | 11,349 | 49 | | | | | | | | | | | | | | | |
2002 | 7.8 | 86.2 | 5.9 | 5,379 | 74 | 63.9 | 2.0 | 34.0 | 10,768 | 38 | | | | | | | | | | | | | | | |
2003 | 8.0 | 85.3 | 6.6 | 6,847 | 96 | 86.0 | 0.6 | 13.3 | 14,161 | 36 | | | | | | | | | | | | | | | |
2004 | 16.9 | 80.7 | 2.4 | 7,857 | 92 | 92.9 | 1.2 | 5.9 | 13,473 | 47 | | | | | | | | | | | | | | | |
2005 | 33.1 | 62.6 | 4.3 | 4,829 | 94 | 92.0 | 2.3 | 5.8 | 8,479 | 73 | | | | | | | | | | | | | | | |
2006 | 18.5 | 70.1 | 11.3 | 5,833 | 95 | 82.5 | 1.0 | 16.5 | 12,547 | 93 | | | | | | | | | | | | | | | |
2007 | 21.5 | 78.5 | 0.1 | 6,041 | 92 | 98.8 | 0.7 | 0.5 | 11,908 | 86 | | | | | | | | | | | | | | | |
2008 | 4.5 | 86.4 | 9.1 | 5,464 | 93 | 78.5 | 6.0 | 15.5 | 11,761 | 79 | | | | | | | | | | | | | | | |
2009 | 7.1 | 91.3 | 1.5 | 5,693 | 97 | 93.1 | 2.5 | 4.4 | 12,340 | 86 | | | | | | | | | | | | | | | |
2010 | 35.9 | 51.2 | 12.9 | 6,526 | 96 | 72.1 | 2.1 | 25.9 | 11,689 | 76 | | | | | | | | | | | | | | | |
2011 | 12.4 | 85.7 | 2.0 | 5,415 | 98 | 94.9 | 0.4 | 4.7 | 10,143 | 84 | | | | | | | | | | | | | | | |
2012 | 83.0 | 0.0 | 17.0 | 2,484 | 100 | 99.2 | 0.0 | 0.8 | 14,149 | 81 | | | | | | | | | | | | | | | |
2013 | 59.6 | 37.9 | 2.5 | 5,088 | 99 | 96.4 | 1.5 | 2.1 | 12,310 | 76 | | | | | | | | | | | | | | | |
2014 | 55.3 | 44.6 | 0.1 | 4,780 | 100 | 94.6 | 5.2 | 0.2 | 13,398 | 84 | | | | | | | | | | | | | | | |
2015 | 66.5 | 33.4 | 0.1 | 4,391 | 100 | 96.5 | 3.3 | 0.2 | 11,595 | 86 | | | | | | | | | | | | | | | |
2016 | 54.8 | 44.4 | 0.8 | 2,842 | 100 | 97.9 | 1.4 | 0.7 | 10,777 | 79 | | | | | | | | | | | | | | | |
2017 | 11.2 | 75.0 | 13.8 | 1,830 | 100 | 91.2 | 0.2 | 8.7 | 7,430 | 81 | | | | | | | | | | | | | | | |
2018 | 30.8 | 68.9 | 0.3 | 2,717 | 100 | 95.4 | 3.8 | 0.8 | 7,728 | 72 | | | | | | | | | | | | | | | |
2019 | 51.7 | 44.9 | 3.4 | 2,402 | 100 | 93.0 | 4.2 | 2.8 | 7,797 | 76 | | | | | | | | | | | | | | | |
2020 | 71.5 | 19.6 | 8.9 | 2,376 | 100 | 77.8 | 9.5 | 12.7 | 7,516 | 73 | | | | | | | | | | | | | | | |
2021 | 70.1 | 27.9 | 2.0 | 2,419 | 100 | 80.3 | 13.6 | 6.1 | 4,209 | 85.6 | | | | | | | | | | | | | | | |
2022 | 67.7 | 31.0 | 1.3 | 3,639 | 100 | 86.6 | 12.2 | 1.2 | 8,441 | 93.5 | | | | | | | | | | | | | | | |
2023 8 | 87.6 | 0.0 | 12.4 | 1,143 | 100 | 77.9 | 0.0 | 22.1 | 3,161 | 83.3 | | | | | | | | | | | | | | | |
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Data Sources and Notes: | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 Locations are based on logbook records, which are self-reported by vessels. | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 Canadian data during 1995-2011 are taken from Canadian Tuna Database version 13.02.11. | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 Percentage of Canadian catch in various zones is based catch locations recorded in logbook. Total Canadian catch data reported in this table are expanded to account for non-reporting vessels based on logbook coverage (cf. Table 2). | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 Canadian logbook coverage rates are calculated by dividing the number of logbook reporting vessels with the total number of vessels. | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 USA catch in various zones are based on the percentage of catch recorded by logbooks in each zone. | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 USA total catch is the sum of landings in the USA west coast ports (from PacFIN) and landings in foreign ports. Since these data sources are considered to be complete, total catch is not expanded based on logbook coverage. | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 USA logbook coverage rates are based on the ratio of trip landings weights recorded in logbooks to the sum of landings from PacFIN and foreign ports (see Footnote 6). | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 Preliminary data subject to change. Canadian data from Canadian tuna database version 24.01.24 | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 Proportion of US catch in high seas zone was estimated from logbook data, and includes catch in U.S. EEZ off Alaska due to shapefile used. Catch in waters off Alaska were limited and do not affect the estimates substantially. | | | | | | | | | | | | | | | | | | | | | | | | |
Table 2. Landings of Albacore (by country of landing port) by Canadian and U.S. Albacore Troll and Pole-and-Line Vessels in the North Pacific Ocean | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
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| Canadian Fleet 1 | US fleet13 | | | | | | | | | | | | |
| Landings (metric tons) 2 | Number of Landings | Number of Landing Vessels | Landings (metric tons) | Number of Landings | Number of Vessels that landed fish 7 | | | | | | | | | | | | |
Year | Canadian Ports | U.S. Ports (DFO estimates) 3 | U.S. Ports (NOAA estimates) 4 | Other Ports 5,8 | Total 10 | Canadian Ports | U.S. Ports (DFO estimates) 3 | U.S. Ports (NOAA estimates) 4 | Canadian Ports | U.S. Ports (DFO estimates) | U.S. Ports (NOAA estimates) 9 | Canadian Ports (DFO estimates from offload slips) 6 | Canadian Ports (DFO estimates from port access applications) 14 | Canadian Ports (NOAA estimates) | U.S. Ports 9 | Other Ports11 | Total 10 | Canadian Ports (DFO estimates from offload slips) 6 | Canadian Ports (DFO estimates from port access applications) 14 | Canadian Ports (NOAA estimates) | U.S. Ports 9 | Canadian Ports (DFO estimates from offload slips) 6 | Canadian Ports (DFO estimates from port access applications) 14 | Canadian Ports (NOAA estimates) | U.S. Ports 9 | | | | | | | | | | | | |
1995 | 230 | 67 | 67 | 104 | 401 | 76 | 4 | 7 | 53 | 3 | 4 | | | | 6,407 | 1,753 | 8160 | | | | 1,000 | | | | 472 | | | | | | | | | | | | |
1996 | 662 | 311 | 868 | 106 | 1636 | 93 | 33 | 102 | 62 | 20 | 66 | | | | 13,209 | 2,188 | 15397 | | | | 1,710 | | | | 658 | | | | | | | | | | | | |
1997 | 563 | 294 | 399 | 147 | 1109 | 67 | 25 | 54 | 51 | 14 | 32 | | | | 10,831 | 3,009 | 13840 | | | | 3,674 | | | | 1,160 | | | | | | | | | | | | |
1998 | 1,892 | 281 | 961 | 82 | 2935 | 173 | 30 | 67 | 104 | 16 | 29 | | | | 12,628 | 1,135 | 13763 | | | | 2,470 | | | | 838 | | | | | | | | | | | | |
1999 | 1,574 | 484 | 713 | 193 | 2480 | 274 | 69 | 106 | 158 | 35 | 52 | | | | 8,809 | 1,422 | 10231 | | | | 2,619 | | | | 772 | | | | | | | | | | | | |
2000 | 2,432 | 537 | 889 | 424 | 3745 | 346 | 79 | 110 | 160 | 44 | 57 | | | | 8,086 | 1,574 | 9660 | | | | 2,230 | | | | 707 | | | | | | | | | | | | |
2001 | 3,474 | 617 | 806 | 364 | 4644 | 520 | 51 | 92 | 193 | 31 | 52 | | | | 10,263 | 972 | 11235 | | | | 3,453 | | | | 929 | | | | | | | | | | | | |
2002 | 3,866 | 181 | 702 | 347 | 4915 | 465 | 29 | 71 | 169 | 17 | 38 | | | ^ | 9,298 | 163 | 9461 | | | <3 | 2,432 | | | <3 | 696 | | | | | | | | | | | | |
2003 | 3,781 | 2,132 | 3,118 | 655 | 7554 | 464 | 241 | 285 | 177 | 87 | 105 | | | ^ | 13,491 | 487 | 13978 | | | <3 | 2,821 | | | <3 | 782 | | | | | | | | | | | | |
2004 | 2,586 | 977 | 1,130 | 3,590 | 7153 | 659 | 141 | 89 | 198 | 67 | 52 | | | 444 | 13,367 | 24 | 13835 | | | 10 | 2,727 | | | <3 | 727 | | | | | | | | | | | | |
2005 | 3,473 | 745 | 811 | 286 | 4570 | 513 | 88 | 85 | 195 | 49 | 45 | | | 83 | 8,217 | 9 | 8309 | | | 4 | 1,761 | | | 3 | 552 | | | | | | | | | | | | |
2006 | 5,281 | 327 | 397 | 300 | 5978 | 495 | 35 | 31 | 161 | 18 | 19 | | | ^ | 12,374 | | 12374 | | | <3 | 2,163 | | | <3 | 615 | | | | | | | | | | | | |
2007 | 5,596 | 283 | 357 | 73 | 6026 | 559 | 29 | 35 | 191 | 20 | 22 | | | 674 | 11,143 | | 11817 | | | 13 | 2,471 | | | 9 | 651 | | | | | | | | | | | | |
2008 | 3,693 | 1,236 | 1,359 | 122 | 5174 | 341 | 106 | 114 | 123 | 42 | 46 | 721 | | 455 | 9,768 | | 10489 | 19 | | 9 | 1,700 | 11 | | 6 | 477 | | | | | | | | | | | | |
2009 | 4,662 | 642 | 650 | 298 | 5610 | 434 | 53 | 47 | 134 | 30 | 26 | 721 | | 664 | 11,621 | | 12342 | 16 | | 12 | 2,596 | 11 | | 8 | 655 | | | | | | | | | | | | |
2010 | 4,961 | 811 | 958 | 446 | 6365 | 502 | 78 | 76 | 154 | 45 | 42 | 919 | | 601 | 10,871 | | 11790 | 24 | | 17 | 2,339 | 16 | | 9 | 609 | | | | | | | | | | | | |
2011 | 4,059 | 1,094 | 1,179 | 170 | 5408 | 453 | 89 | 93 | 174 | 47 | 47 | 611 | | 282 | 9,840 | | 10451 | 21 | | 12 | 2,560 | 13 | | 8 | 640 | | | | | | | | | | | | |
2012 | 2,219 | 0 | 0 | 265 | 2484 | 276 | 0 | 0 | 174 | 0 | 0 | 0 | | 0 | 13,861 | | 13861 | 0 | | 0 | 3,309 | 0 | | 0 | 816 | | | | | | | | | | | | |
2013 | 4,301 | 609 | 650 | 168 | 5119 | 278 | 39 | 41 | 177 | 19 | 22 | 514 | | 289 | 12,019 | | 12533 | 16 | | 9 | 2,559 | 12 | | 6 | 684 | | | | | | | | | | | | |
2014 | 4,130 | 395 | 415 | 256 | 4801 | 339 | 26 | 28 | 147 | 12 | 12 | 1459 | | 1,290 | 12,108 | | 13567 | 36 | | 30 | 2,513 | 18 | | 17 | 590 | | | | | | | | | | | | |
2015 | 3,978 | 244 | 245 | 160 | 4383 | 408 | 19 | 19 | 160 | 11 | 11 | 756 | | 557 | 11,038 | | #VALUE! | 30 | | 20 | 2,389 | 19 | | 13 | 560 | | | | | | | | | | | | |
2016 | 2,634 | 186 | 189 | 22 | 2845 | 388 | 17 | 17 | 150 | 9 | 9 | 482 | | 511 | 10,266 | | 10777 | 22 | | 22 | 2,488 | 12 | | 15 | 557 | | | | | | | | | | | | |
2017 | 1,583 | 248 | 236 | 0 | 1831 | 240 | 21 | 20 | 121 | 12 | 11 | 659 | | 328 | 7,102 | | 7761 | 27 | | 16 | 2,008 | 14 | | 13 | 495 | | | | | | | | | | | | |
2018 | 2,483 | 234 | 221 | 0 | 2717 | 275 | 20 | 19 | 121 | 9 | 8 | 680 | 1,043 | 855 | 6,873 | | 7728 | 28 | | 28 | 1,656 | 13 | | 20 | 434 | | | | | | | | | | | | |
2019 | 2,235 | 139 | 136 | 28 | 2402 | 269 | 12 | 12 | 122 | 7 | 7 | 367 | 1,126 | 578 | 7,188 | | 7766 | 12 | | 18 | 2,229 | 7 | | 12 | 540 | | | | | | | | | | | | |
2020 | 2,376 | 0 | ^ | 0 | 2376 | 247 | 0 | ^ | 104 | 0 | ^ | 282 | 1,360 | 648 | 6,868 | | 7516 | 7 | | 15 | 1,422 | 5 | | 11 | 391 | | | | | | | | | | | | |
2021 | 2,419 | 0 | ^ | 0 | 2419 | 270 | 0 | ^ | 113 | 0 | ^ | 209 | 1,212 | 719 | 3,490 | | 4209 | 8 | | 22 | 845 | 3 | | 17 | 292 | | | | | | | | | | | | |
2022 | 3,487 | 144 | 84 | 8 | 3,639 | 202 | 10 | 6 | 117 | 10 | 5 | | 1,775 | 1412 | 7,029 | | 8441 | 0 | 43 | 32 | 1,415 | | 27 | 19 | 399 | | | | | | | | | | | | |
2023 12 | 1,140 | 0 | ^ | 3 | 1,143 | 116 | 0 | ^ | 78 | 0 | ^ | | 0 | 0 | 3,161 | | 3161 | 0 | 0 | 0 | 830 | | 0 | 0 | 300 | | | | | | | | | | | | |
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Data Sources and Notes: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 Canadian landings data prior to 2012 are from Canadian Tuna Database version 13.02.11 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 Landings for Canadian fleet are based on salesslip weights (where available) or estimated weights in logbooks and are not expanded to account for non-reporting vessels (cf. Table 1). | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 DFO estimates of Canadian landings in US ports are based on estimated weights in logbooks and are not expanded. | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 NOAA estimates of landings data by Canadian fleet are derived from PacFIN and are not expanded. | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 Other ports category is used for landings in non-US and non-Canada ports or where the landing port was unknown due to missing data. Occasional landings in American Samoa (Pago pago) are included early in the time series. | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 DFO estimates of US landings in Canadian ports based on offloading fish slip data. These are not expanded likely to be a minimum bound because of incomplete fish slip data and reports from Canadian buyers/processors. | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 Number of landing vessels may be slightly inaccurate due to landing slips with invalid or missing vessel IDs (0.15 to 3.9%) | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 The majority of Canadian landings in 2004 did not include information on landing port but the majority of these landings were likely made in Canadian ports. | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 U.S. DATA Source: Pacific Fisheries Information Network (PacFIN) retrieval dated , 03/28/2023. Number of landings estimated from unique vessel ID and Fish Ticket Dates | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 10 Where both DFO and NOAA estimates exist, total is calculated by adding the greater of the two values | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 11 USA landings in Other Ports (non-US West Coast & non-Canadian ports) include American Samoa and Hawaii | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 12 Preliminary data subject to change. Canadian data from Canadian tuna database version 24.01.24 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 13 U.S. landings data do not include <200 mt of albacore landings in Alaskan ports made by U.S. vessels during 1994-2015. | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 14 DFO estimates of US landings in Canadian ports based port access applications submitted by US vessels. To be reviewed in detail by Data WG in 2024. | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
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| * = no data, 0 = more than 0 mt but less than 1, ^ = confidential data (less than 3 vessels) | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Table 3. Distribution of Canadian and U.S. Albacore Troll and Pole-and-Line Fleet Fishing Effort in the North Pacific Ocean 1 | | | | | | | | | | | | | | | | | | | |
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| Canadian Fleet 1 | U.S. Fleet11 | | | | | | | | | | |
Year | Number of vessels/months allowed to fish in US EEZ | Number of vessels that fished in US EEZ 3 | Number of vessels that fished in Canadian EEZ5 | Vessel Months Used 4 | Fishing Effort in US EEZ (boat fishing days) 2 | Fishing Effort in Canadian EEZ (boat fishing days) 2 | Fishing Effort on high seas (boat fishing days) 2 | Number of vessels allowed to fish in Canadian EEZ 6 | Number of vessels that fished in US EEZ7,8 | Number of vessels that fished in Canadian EEZ 7, 8 | Fishing Effort in US EEZ (boat fishing days) 10 | Fishing Effort in Canadian EEZ (boat fishing days) 10 | Fishing Effort on high seas (boat fishing days) 10, 11 | | | | | | | | | | | | |
1995 | Unlimited | 9 | 175 | N/A | 191 | 5,535 | 197 | Unlimited | 472 | 71 | 1,461 | 960 | 6,786 | | | | | | | | | | | | |
1996 | Unlimited | 83 | 90 | N/A | 4,222 | 2,813 | 1,130 | Unlimited | 658 | 6 | 3,574 | 14 | 10,229 | | | | | | | | | | | | |
1997 | Unlimited | 59 | 67 | N/A | 1,972 | 1,010 | 1,339 | Unlimited | 1160 | 46 | 4,520 | 570 | 10,838 | | | | | | | | | | | | |
1998 | Unlimited | 91 | 92 | N/A | 3,234 | 1,274 | 1,507 | Unlimited | 838 | 3 | 3,042 | 26 | 8,834 | | | | | | | | | | | | |
1999 | Unlimited | 176 | 162 | N/A | 4,316 | 1,689 | 965 | Unlimited | 772 | 19 | 12,560 | 273 | 7,859 | | | | | | | | | | | | |
2000 | Unlimited | 184 | 131 | N/A | 6,738 | 1,189 | 842 | Unlimited | 707 | 12 | 8,883 | 67 | 4,970 | | | | | | | | | | | | |
2001 | Unlimited | 207 | 176 | N/A | 7,697 | 1,754 | 570 | Unlimited | 929 | 15 | 9,280 | 75 | 5,560 | | | | | | | | | | | | |
2002 | Unlimited | 200 | 124 | N/A | 7,207 | 686 | 431 | Unlimited | 696 | 31 | 8,132 | 212 | 3,552 | | | | | | | | | | | | |
2003 | Unlimited | 177 | 119 | N/A | 7,111 | 892 | 425 | Unlimited | 782 | 9 | 10,919 | 126 | 2,395 | | | | | | | | | | | | |
2004 | 170 vessels or 680 vessel fishing months | 202 | 172 | 627 | 7,551 | 2,125 | 266 | 170 vessels or 680 vessel fishing months | 727 | 21 | 11,079 | 213 | 1,184 | | | | | | | | | | | | |
2005 | 140 vessels or 560 vessel fishing months | 154 | 196 | 410 | 5,309 | 2,940 | 315 | 140 vessels or 560 vessel fishing months | 552 | 31 | 9,943 | 316 | 914 | | | | | | | | | | | | |
2006 | 125 vessels or 500 vessel fishing months | 139 | 148 | 396 | 4,500 | 1,401 | 342 | 125 vessels or 500 vessel fishing months | 615 | 32 | 9,883 | 96 | 1,043 | | | | | | | | | | | | |
2007 | 94 vessels or 376 vessel fishing months | 119 | 191 | 368 | 4,809 | 2,081 | 12 | 94 vessels or 376 vessel fishing months | 651 | 14 | 10,713 | 135 | 233 | | | | | | | | | | | | |
2008 | 94 vessels or 376 vessel fishing months | 122 | 79 | 338 | 4,993 | 360 | 420 | 94 vessels or 376 vessel fishing months | 477 | 39 | 7,947 | 327 | 1,031 | | | | | | | | | | | | |
2009 | 110 | 107 | 116 | N/A | 5,722 | 675 | 143 | Historical level | 655 | 27 | 12,002 | 262 | 719 | | | | | | | | | | | | |
2010 | 110 | 109 | 153 | N/A | 3,848 | 2,887 | 559 | Historical level | 609 | 51 | 10,542 | 342 | 1,961 | | | | | | | | | | | | |
2011 | 110 | 108 | 146 | N/A | 6,549 | 1,771 | 285 | Historical level | 640 | 30 | 13,619 | 117 | 941 | | | | | | | | | | | | |
2012 | 0 | 0 | 174 | N/A | 0 | 5,084 | 890 | 0 | 816 | ^ | 14,636 | ^ | 380 | | | | | | | | | | | | |
2013 | 45 vessels | 43 | 181 | N/A | 1,870 | 4,299 | 296 | Historical level | 703 | 21 | 12,242 | 229 | 452 | | | | | | | | | | | | |
2014 | 45 vessels | 44 | 156 | N/A | 1,774 | 2,944 | 27 | Historical level | 617 | 35 | 11,425 | 659 | 116 | | | | | | | | | | | | |
2015 | 45 vessels | 43 | 161 | N/A | 1,435 | 3,792 | 17 | Historical level | 574 | 39 | 10,770 | 549 | 186 | | | | | | | | | | | | |
2016 | 45 vessels | 43 | 151 | N/A | 1,892 | 3,407 | 60 | Historical level | 569 | 31 | 12,280 | 251 | 213 | | | | | | | | | | | | |
2017 | 45 vessels | 45 | 101 | N/A | 2,865 | 1,343 | 770 | Historical level | 518 | 15 | 11,293 | 39 | 1,287 | | | | | | | | | | | | |
2018 | 45 vessels | 45 | 118 | N/A | 2,228 | 1,924 | 44 | Historical level | 452 | 26 | 10,255 | 476 | 363 | | | | | | | | | | | | |
2019 | 45 vessels | 42 | 119 | N/A | 1,621 | 2,008 | 253 | Historical level | 554 | 16 | 10,108 | 416 | 546 | | | | | | | | | | | | |
2020 | 45 vessels | 34 | 104 | N/A | 573 | 2,542 | 187 | Historical level | 404 | 34 | 7,117 | 745 | 819 | | | | | | | | | | | | |
2021 | 45 vessels | 41 | 113 | N/A | 937 | 2,664 | 86 | Historical level | 311 | 54 | 5,231 | 894 | 587 | | | | | | | | | | | | |
2022 | 45 vessels | 39 | 117 | N/A | 1,134 | 2,849 | 90 | Historical level | 433 | 66 | 6,983 | 603 | 271 | | | | | | | | | | | | |
2023 9 | 0 vessels | 0 | 79 | N/A | 0 | 1,851 | 249 | 0 | 319 | 3 | 3,442 | 4 | 1302 | | | | | | | | | | | | |
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Data Sources and Notes: | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 Effort in different zones are based on logbook records, where locations are self-reported by vessels. | | | | | | | | | | | | | | | | | | | | |
| 2 Estimates of Canadian effort in boat fishing days are expanded using the methodology described in Stocker et al. (2007: CTRFAS 2701). 1995-2011 data from Canadian Tuna Database version 13.02.11 | | | | | | | | | | | | | | | | | | | | |
| 3 Number of vessels that fished in US EEZ: 1995-2008 data from Canadian Tuna Database version 13.02.11, 2009-2011 data from DFO Pacific Licensing System | | | | | | | | | | | | | | | | | | | | |
| 4 Vessel Months during 1995-2011 used data from Canadian tuna database v. 13.02.11 | | | | | | | | | | | | | | | | | | | | |
| 5 Number of vessels that fished in Canadian EEZ: 1995-2011 data from Tuna Database version 13.02.11 | | | | | | | | | | | | | | | | | | | | |
| 6 Although the historical level of fishing effort for the US fleet was permitted in the Canadian EEZ during 2009-2011, the historical level of fishing effort is not presently quantified. | | | | | | | | | | | | | | | | | | | | |
| 7 Number of US vessels that fished in US or Canadian EEZs are not expanded. | | | | | | | | | | | | | | | | | | | | |
| 8 Number of US vessels that fished in US or Canadian EEZs refers to vessels that recorded fishing days in those zones in their logbooks and do not include vessels that only had transit days. Where logbook coverage rate is less than 100%, it is assumed that all US vessels that landed fish, had fished in the US EEZ | | | | | | | | | | | | | | | | | | | | |
| 9 Preliminary data subject to change. Canadian data from Canadian tuna database version 24.01.24 | | | | | | | | | | | | | | | | | | | | |
| 10 Estimates of US effort in US EEZ, Canadian EEZ and high seas in boat fishing days are expanded and calculated by multiplying the proportion of reported logbook effort in each zone by the estimated annual effort. Estimation of annual effort has changed in 2017 (Documented in ISC working paper ISC17/STATWG/WP-1) | | | | | | | | | | | | | | | | | | | | |
| 11 Proportion of US effort in high seas zone was estimated from logbook data, and includes effort in U.S. EEZ off Alaska. | | | | | | | | | | | | | | | | | | | | |
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| * = no data, ^ = confidential data (less than 3 vessels) | | | | | | | | | | | | | | | | | | | | |
U.S Fishery Data | | Canadian Fishery Data |
The Data Exchange Template was designed to provide relevant data to the delegations for the treaty between the United States and Canada on Pacific Coast Albacore Tuna vessels and Port Privileges. It has been agreed that the time-series would be constrained to the years for which all of the data are reliable and comparable; therefore, not all data considered reliable has been provided. The sources are self-reported logbooks from albacore harvesters and fish tickets provided by the States of Washington, Oregon and California to the PacFIN database. | | The Data Exchange Template was designed to provide relevant data to the delegations for the treaty between the United States and Canada on Pacific Coast Albacore Tuna vessels and Port Privileges. It has been agreed that the time-series would be constrained to the years for which all of the data are reliable and comparable. Canadian data sources include logbooks completed by albacore harvestors turned end at the end of the fishing season, sales slips recording the landing weight of all albacore on a trip, and hail records, which identify vessels participating in the fishery and the zone in which those vessels are fishing. Logbooks, sales slips from domestic buyers, and at-sea trans-shipment slips, completed at the time fish are landed and sold, must be returned to Fisheries and Oceans Canada (DFO) for entry into the Canadian albacore tuna catch-effort database (Stocker et al. 2007). Entering new data into the database creates a new version of the database on that date. Canadian data are always reported with the database version number, which reflects the date of data entry (YY.MM.DD). For example, Database version 12.12.01 was created 01 Dec 2012. |
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While a U.S. fishery for north Pacific albacore has existed since the early 1900’s, the collection of logbook data began in 1951 as a voluntary program. In 2004 the fishery management plan for highly migratory species made logbook submission mandatory for the albacore fleet operating in or adjacent to the U.S. exclusive economic zone thereby increasing the coverage rate considerably. The average coverage rate based on the ratio of trip landings weights recorded in logbooks to the sum of landings from PacFIN and foreign ports is 40% for years 1996 through 2004 and 78% for 2005 through 2011. Although similar coverage rates of around 40% prior to 1995, the template is constrained by the year for which Canada can provide reliable data. | | The Canadian fishery for north Pacific albacore tuna (Thunnus alalunga) began in 1939. Total catch data from 1939 to 1951 are based on landings and were estimated by converting canned weights shipped by Canadian canneries to landed weights using standard conversion factors for salmon and were reported in annual statistical reports. These data are not reliable estimates of activity by the Canadian fishery because: (1) albacore landed in United States ports were not included in the estimates, (2) albacore imported from foreign sources by Canadian processors were included in these estimates, and (3) no measure of effort is available for this period. In addition, the spatial distribution of catch and effort is unknown beyond narratives in the annual reports noting that catches were occurring in BC and WA waters. |
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Since 1974 there have been attempts to coordinate State landings data. First through the Albacore Coordination Committee and later through the Pacific States Marine Fisheries Commission’s database PacFIN. Within the PacFIN system, Fish Ticket data are considered complete for years since 1981. Again, data has been constrained by the year 1995 due to limitations in Canadian data. | | A sales slip system was implemented in 1951 and data compiled from these records were used to estimate Canadian total annual albacore catch until 1994. This system provides a better estimate of total catch because it captures fish landed at all Canadian ports, but it still underestimates catch because sales slips do not account for albacore landed at US or other foreign ports nor do they fully account for direct sales of albacore to the public, i.e., dockside sales. Effort data were not compiled nor reported for this period. Although the sales slip system has been used to capture some of the spatial and temporal resolution of landings in other domestic, these data were not compiled nor reported for albacore. |
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| | Fishery statistics reported since 1995 are based on data compiled in the Canadian Albacore Tuna Catch and Effort Database from hails, sales slips, and logbooks. These data are considered the most reliable estimates of fishery activity by the Canadian fleet because: (1) they account for fish caught and landed in foreign waters, (2) they have high spatial and temporal resolution in catch and effort (daily position by vessel), (3) sales slip weights provide independent validation of logbook data, and (4) data are obtained from all known vessels active in the fishery in a given year. |