Minutes - 7 th PROJECT GROUP MEETING Place: Bioforsk Svanhovd, Svanvik Norway Time: 9 th December, 8:30-18 (Steering group member included from 15-)

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1 Minutes - 7 th PROJECT GROUP MEETING Place: Bioforsk Svanhovd, Svanvik Norway Time: 9 th December, 8:30-18 (Steering group member included from 15-) Participants: Sergey Prusov, Elena Samoylova, Gennady Ustyzhinskiy PINRO; Eero Niemelä, Salla Kaartinen, Päivi Laukkanen FGFRI; Juha-Pekka Vähä, Mikhail Ozerov - UTU-Kevo; Vidar Wennevik IMR; Martin Svenning NINA; Bente Christiansen (chair), Tiia Kalske (referent) FMFI. Absent: Morten Falkegård NINA. From 3 o clock and onwards members of the steering group and other experts also took part in the meeting: Astrid Daniloff, Sturla Brørs, Oleg Zabolotsky, Håkon Andersen, Roy Isaksen, Knut Lauritzen, Arne Eggereide, Marjaana Lahdenranta, Jorma Kuusela and Sergey Balyabo. 1. Open and welcome Meeting opened 8: Adoption of the agenda and recalling minutes from last meetings Agenda was adopted as suggested. Previous minutes (Vadsø ) was approved without any additional comments. 3. Discuss and highlight projects main findings and results using the final seminar agenda as a road map main focus on issues not discussed earlier; Migratory patterns and exploitation model NINA Martin Svenning (NINA) highlights the work done with modelling of migratory patterns for a few chosen stocks. A GAM (Generalised Additive Models) is used to model how CPUE (catch per unit effort) of salmon of different origin change geographically over time. He shows the estimated migratory pattern for Tana River, Alta and Kola river salmon (not reporting group Tana etc.). All assigned salmon (2011 and 2012) are used in the model no threshold/ cut off for probability values are used, can be problematic due to f. ex for Tana river c. 30% of fish may not be originating from Tana river (compare to Juha-Pekkas presentation on e.g cut off you lose samples but you gain accuracy (more correctly assigned fish left in your analysis). Model variables: time of capture, space/ place of capture and age of the fish. What is the chance of catching e.g. Tana salmon, Russian salmon, etc. Correlation between fisherman locations is noted. No error limits for the model was mentioned. Tana salmon seem to ascend quite early along most of the North-Norwegian coastal line, Kola salmon seem to enter North West and East and ascend rather early (observed along the cost not inside the inner fjords) and Alta salmon enters rather late and more locally compared to the Tana and Kola salmon behaviour observed. The work so far confirms already some of the known patterns from earlier tagging studies on Tana salmon etc. Important to note the actual ordinary fishing times along the north Norwegian coast line it differs from area to area. The migratory model shows timing of the salmon in the research fishery in 2011 and 2012, not when it actually is caught within the ordinary fishing time. Exploitation model will be presented by Morten Falkegård (NINA) on the seminar Genetics juvenile baseline (in river) and adult coastal assignments IMR and UTU-Kevo Vidar Wennevik (IMR) highlights the work done on genetic structure of northern populations of Atlantic salmon. Main division in the juvenile baseline material; Eastern part (Pechora-Ponoi fall/ autumn run fish), Northern-western populations (White Sea neck-to Neiden summer run fish), - Page 1

2 gives the reporting groups used. Patterns within rivers are also done. Main message tool for assignment created for all main rivers, on high level of genetic differentiation. Structure runs takes a lot of time. Issues with the baseline that has to be solved some adjustments will happen but the big picture will not change. Baseline in river samples; Genetic baseline includes fish, 185 populations. To date this Kolarctic salmon material is the largest we know of: both with regards to numbers and geographical scope investigated, for any fish species. The present data set allows further investigation on e.g. intra population structure in Pechora and Ponoi river systems and a lot more; practical management application, general understanding of salmon phylogeny, life-history and biology. Juha-Pekka Vähä (UTU-Kevo) highlights the assignments and method used. Gene class (CML) maximum likelihood (a direct and rather simple method), cbayes (Bayesian statistics) better method for a mixture sample. UTU-Kevo have made a thorough examination on the performance of the different methods and found out that the Bayesian method (cbayes) is superior method for this purpose. Genetic analyses of coastal fishery : total amount of samples is and samples passed quality control. GSI genetic stock identifications, 159 rivers (e.g. Tana is considered as 1 here). Factors determining the success of GSI; DNA finger-print - nr of marker genes and marker polymorphism, reference baseline populations - genetic variation, nr of fish in the sample etc. and the statistical method used for GSI. Further JP highlights the power of GSI and compares the Kolarctic salmon material to the rule of thumb, c.a. 75 % accuracy is achieved i.e. on river level 3 out of 4 cases are correct assigned, and on reporting group level 99 % are correct assigned this is very good taken into account the nr of samples, geographic area and the diversity of the stocks at hand. Northern population are very diverse populations. The samples are grouped into 9 reporting groups see annex 1 map. Nordland/ Lofoten area is somewhat problematic wild salmon samples from here should be tested against SalSea baseline or is it a feeding area? Further JP mentions cut off trade off e.g. with a 0. 5 cut off you lose samples but you gain accuracy (more correctly assigned fish left in your analysis). Annex 1 maps for coastal samples assigned. Salmon growth and management reviews from FGFRI Salla Kaartinen (FGFRI) highlights her topics studied; 1) Juvenile salmon growth differences between rivers in Troms and Finnmark, 2) Long-term variations in juvenile growth and temperature effects in Teno River (1990s-2012), 3) Major fishing regulation at sea in 1989 and its effects to Teno stocks and 4) Long-term variations in the ocean growth of salmon case study Teno salmon. For more detailed information and results take a look in the seminar abstract report. Timing of salmon catches and temperature variations reviews from FGFRI Päivi Laukkanen (FGFRI) highlights her topics studied; 1) The timing of salmon catches at sea , 2) Linkage between changes in sea temperature and the timing of salmon catches, and 3) A scale space multi-resolution method for the extraction of sea temperature in Barents and Norwegian seas. For more detailed information and results take a look in the seminar abstract report. Coastal fisheries, salmon resource description and presentation of catch statistics in Northern Norway Eero Niemelä (FGFRI) summaries the results from the coastal fisheries and describes the salmon resource in terms of catches and fishing effort. All results are detailed described in the following reports: 1-2) Coastal salmon fishery 2011 and 2012 respectively in Nordland, Troms and Finnmark: timing of the salmon catches, wild and escaped salmon, sea and freshwater ages, sex distribution and other biological parameters, 3) Summary for Coastal salmon fishery in Nordland, Troms and Finnmark and Russian White Sea: timing of the salmon catches, wild and escaped salmon, sea and freshwater ages, sex distribution and other biological parameters. Salmon resource and management is described in report 4) Previous spawned salmon improve the catches and widens diversity of the Atlantic salmon life history, 5) escaped salmon, its abundance and timing Page 2

3 in the research fishery and in the reported salmon catches in Nordland, Troms and Finnmark Coastal and estuarine salmon fisheries in the White Sea: fisheries management and catches, ecology and biological parameters of salmon PINRO Sergey Prusov (PINRO) summaries results from coastal and estuarine salmon fisheries in the White Sea, including fisheries management and catches, ecology and biological parameters of salmon. A TAC - Total Allowable Catch, for Atlantic salmon is established annually. A regional TAC is distributed as quotas to fisheries and allocated to users. Fisheries are only allowed at certain fishing sites, these sites are allotted to users on the basis of competitive tenders (for year contracts). Salmon fisheries are licenced and conducted in accordance with fishing regulation in force (current regulation came into force in 2009, new regulation in preparation due to come into force in 2014). Fisheries close when allocated quota is fulfilled. Annex 1 you can study the fisheries management by Russian regions and get information on the reported salmon catches the last decade. 4. Issues for the Steering group go through the SG meeting agenda points Not discussed. 5. Agreement on data use and final project reporting to EU/ JMA Lead Partner A draft of data use agreement will be circulated in beginning of 2014 it is drafted but not yet ready for circulation. Final project reporting sent earlier. period duration (months) Project period Final Reporting * *JMA approves auditing costs and c. 1 personnel week/ partner (for LP 2-3 week s personnel costs) - to prepare final report and auditing - JMA emphasis that most work should be done within the project period approved - for us 36 mounts. Final report include see also JMA check list (distributed earlier) Interim narrative report 2013 Final report - EMOS template Examples of all produced deliverables Financial documents financial report - consolidated and/ partners auditors reports - Expenditures verification report time sheets specification of the salaries general ledge specification employee list List of equipment s tender documents 6. Other issues and closure of the meeting Next meeting in mid February 2014 finalising and recommend/ conclude, and maybe brain storm the future cooperation. No other issues were discussed. Chair closed the meeting at c Page 3

4 Annex 1. Maps Map 1 Nine (9) reporting groups Map 2 Origin of Russian coastal samples (2259 fish captured) Page 4

5 Map 3a Origin of Norwegian costal samples period May-June Map 3b Origin of Norwegian coastal samples period July-August Page 5

6 Map 4 Fisheries by Russian regions and reported catches Page 6

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