2009 2013 north wales fisheries conference nigel milner
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The Celtic Sea Trout Project 2009-2013 North Wales Fisheries Conference Nigel Milner APEM Ltd and Bangor University n.mlner@apemltd.co.uk Introduction to the CSTP BACKGROUND Historical neglect vs salmon Stock collapse focused


  1. The Celtic Sea Trout Project 2009-2013 North Wales Fisheries Conference Nigel Milner APEM Ltd and Bangor University n.mlner@apemltd.co.uk

  2. Introduction to the CSTP BACKGROUND  Historical neglect vs salmon  Stock collapse – focused minds & funded R&D  2004 Cardiff Symposium review ► Gaps  Interreg IVA funded cross-border CSTP AIMS  Marine distribution, stock identity & ecology  Life history variation, description & causes  Long term collaboration + awareness APPLICATIONS  Stock assessment, mixed stocks fisheries  Responses to pressures.. past, present and future  Managing risks from marine developments  Bio-indicator role across FW-transitional-coastal habitats

  3. A basic question… why do sea trout stocks vary regionally and over time? River A “whitling” dominated   Life history theory  Environmental variation  Other pressures River B average  Reduction of older/larger fish  River C high average size  Changes over time 0 1 2 3 0 1 2 3 Sea age (yrs) Sea age (yrs)

  4. Partial migration and anadromy : “To Sea or Not to Sea?” Residency 4yr old “brown trout” (400eggs) Smolting/Migration Benefits (eggs) vs Risks (death) 4yr old “sea trout” (6,000eggs) Photo: Ian Davidson, DSAP

  5. Partial migration in trout Freshwater Sea smolts Eggs- .0+ no sea .1+ .2+ Juveniles winter “whitling” maidens maidens Shelter? “sea trout” Breeding adults Repeat spawners Performance at sea affects age structures of sea trout stocks and fisheries Question 1: why return from sea? (Ans: spawning, complete the life cycle) Question 2: when to return? (Ans: maturation…survival, growth??? …traits related to marine habitat) Question 3: what determine proportions of sea ages? (Ans: ???LH tactics that maximise potential eggs)

  6. Sampling (2009-2012) Marine (post-smolts and adults) : • Beaches, estuaries, coastal, offshore • Trawl, seine, rods • 1,367 scale sets Surface trawling Rivers (juveniles and adults) : • Angler samples • Rod catch statistics • Traps • 5,538 adult fish scale sets • Electro-fishing 100 rivers, (for genetics and microchemistry) Scale reading, 25cm, 3.0+

  7. Marine habitats are highly structured Currents Sea temperature (NB mean and range greater in east sea board) Prey (sand eel) habitat Prey abundance Bathymetry Seascape

  8. Results  Trends in abundance and stock composition  Regional variation in life histories  Feeding  Movements and exchange

  9. Synchrony in catch trends, 1994-2011 IRELAND GALLOWAY  Mean catch for each country/region NW ENGLAND WALES  Strong temporal coherence (Vt = 34%) Temporal variance = 34%  Common factors acting on stock? 2.5  Effort analysis in E&W showed very low Rod catch (z-scores) 1.5 coherence, but high in catch and cpld 0.5 -0.5 Overall smoothed, 95% CIs -1.5 -2.5

  10. Long term changes in catches and size composition in 5 Welsh rivers, 1976-2007  0.8kg = “whitling” (n.0+)  Increasing abundance and % of whitling  Reduction in N and % of larger fish in some rivers  Evidence of life history change  Time of 1 st maturation, can’t exclude reduction in survival <0.8kg Teifi Dyfi Conwy Clwyd Dee 4 3 Annual catch, z-score 2 1 0 -1 -2 -3 -4 1975 1985 1995 2005

  11. Temporal variation in marine growth Swansea Moelfre Heysham Port Erin PRED.TEMP 14 12 Mean SST (oC) 10 8 6 4 1960 1970 1980 1990 2000  Sea temperature increase Historical data (eastern sea board)  Size of whitling increased 1923-2000  Part of climate change  Mixed year and latitude effects Temp data: MAFF/Cefas

  12. Results  Trends in abundance and stock composition  Regional variation in life histories  Feeding  Movements and exchange

  13. Variation in sea ages of sea trout (from scale reading) 0 1 2 3 4 5 6 Dominated by whitling Multi-age 90 80 70 % occurrence 60 50 40 30 20 10 0 0 TYWI LUNE Dyfi TAWE RIBB NITH TEIFI B.ESK CURR IoM LUCE CONW BAND ARGI DEEw FLEE 6yrs CLWY BOYN EHEN SHIM DEWR CAST SLAN

  14. Spatial variation in marine growth, mean length(mm) at age n.0+ 450 400 350 300 Mean length (mm) 250 Seaboard:a Sea board: E-W | 200 150 100 50 0 LAT<53.3 LAT < 53.309 Between-river variation in length of n.0+ sea trout 284.0 Shimna(235) in 23 Irish Sea rivers Bandon(273) Slaney(276) DeeWR(279) Castletown(280) Argideen(286) Boyne(322) Currane(321) 370.2 304.6  Smaller on western sea board Tawe(393) Ribble(285) Tywi(373) Lune(332)  Latitude effect on east coast (larger in Teif(375) IoM(400) Dyfi(388) Ehen(311) more southerly rivers) Deew(347) Fleet(273) Conwy(345) Luce(304)  Caution, smolt length and age Clywd(315) Nith(310) B.Esk(313)

  15. Spatial variation in survival (%) y(B.Esk) = -1.4238x + 7.03 y(Tywi) = -0.781x + 5.86 %S, after marine yr 1, from sea age structure (=e (z+ln100) ) R² = 0.998 R² = 0.890 7 6 5 ln(N+1) 4 3 Length<296mm 2 1 0 0 1 2 3 4 5 6 7 8 9 10 Sea age (t) yrs 80 70 60 Annual survival (%) 50 Temp <11.15 o C 40 30 20 10 0 IOMA FLEE LUCE NITH BESK BAND SLAN DEWR BOYN ARGI CAST CURR SHIM RIBB EHEN LUNE TAWE CONW CLWY TEIFI DEEw DYFI TYWI  Lower % S in popn of smaller size fish  Lower % S in cooler waters (Irish coast & more northerly sites of eastern sea board)

  16. Regional summary of growth and survival (selected by tree regression) Low growth Medium survival Low growth Low survival High growth High survival High growth Medium survival

  17. Life history responses to 1 st year marine growth East West East West 90 80 80 70 Currane 70 % n.o+ in population 60 Survival yr 1% 60 50 50 40 40 30 Currane 30 20 20 10 10 0 0 200 250 300 350 400 200 250 300 350 400 Mean length, n.0+ (mm) Mean length, n.0+ (mm)  Marine survival (post 0+)  Time of first return (as % 2.0+) increases with 2.0+ length (N=23 decreases with 2.0+ length (N=23 R 2 =0.404,p<0.01) R 2 =0.288,p<0.01)  Is earlier maturation a response to maximise reproductive opportunity in the face of marine environmental influence on growth and survival?

  18. Results  Trends in abundance and stock composition  Regional variation in life histories  Feeding  Movements and exchange

  19. Adult sea trout prefer to eat fish Regional variation Prey (sprat) abundance

  20. Results  Trends in abundance and stock composition  Regional variation in life histories  Feeding  Movements and exchange

  21. Hydrodynamic Modelling (Cefas) General Estuarine Transport Model (GETM), simulates particle (=“fish”) movements, run from April 1st Shimna Dyfi Slaney Tywi

  22. Genetic and microchemistry/radio isotope assignment of marine-caught fish to regions • 9 putative genetic regions identified by Microchem origins based on 36 rivers • δ15 N suggested mainly coastal residency juvenile samples, 99 rivers & some exchange Marine samples assigned to regions by Oncor/GeneClass consensus Solway/Morecombe SE Ireland Overall: most fish remain “local”; evidence of some extensive exchange, can’t quantify due to small sample sizes

  23. <0.8kg Conclusions Teifi Dyfi Conwy Clwyd Dee 4 3 Annual catch, z-score 2 1 0 -1 -2 -3 -4 1975 1985 1995 2005  LIFE HISTORIES and MARINE ECOLOGY • Evidence of synchronous variation indicates response to common marine factor/s (can’t yet rule out FW factors too) • Stock structure variation reflects shifts in time of 1 st return, likely due to growth and survival • Regional growth variation linked to temperature (+ food?)..….HABITAT • Long term temporal growth variation cause remains uncertain (probably climate) • Consistent with limited dispersal, reflecting marine hydro-graphic and environmental factors. • BUT some extensive dispersal demonstrated by genetics, microchemistry and modelling  MANAGEMENT & MONITORING • Broad-scale conservation: does partial synchrony imply meta-population effects, conferring resilience and stability on individual rivers? (role of small streams?) • Cross-border management of marine phase is indicated by the synchrony and partial dispersal • Catch recording is weak and a major limitation: size data, fishing effort • Marine food chain is important for sea trout, but key indicators are poorly monitored • Marine habitat monitoring and protection are important for sea trout

  24. Thanks to all the sponsors and many co-workers … and many ‘00s of anglers

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