3rd Annual Fraser Sockeye Forecast Supplement
Grant, Whitehouse, Tadey, Benner, Patterson, Hills, Selbie, Pon, Neville, Trudel, Perry, Lapointe, Huang
3 rd Annual Fraser Sockeye Forecast Supplement Grant, Whitehouse, - - PowerPoint PPT Presentation
3 rd Annual Fraser Sockeye Forecast Supplement Grant, Whitehouse, Tadey, Benner, Patterson, Hills, Selbie, Pon, Neville, Trudel, Perry, Lapointe, Huang Objective To improve our understanding of factors that influence Fraser Sockeye survival
Grant, Whitehouse, Tadey, Benner, Patterson, Hills, Selbie, Pon, Neville, Trudel, Perry, Lapointe, Huang
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Name Life-History Stage Sue Grant Forecasts and Population Dynamics Bronwyn MacDonald Forecasts Keri Benner Escapement and Smolts David Patterson Migration and Fish Condition: Adults and Smolts Jayme Hills Migration and Fish Condition: Adults and Smolts Dan Selbie Lake Fry and Limnology Lucas Pon Lake Fry and Limnology Joe Tadey Mission Smolts Timber Whitehouse Mission Smolts Chrys Neville Strait of Georgia Sockeye juveniles Marc Trudel High Seas Salmon and Ocean Conditions Ian Perry Ocean Conditions Mike Lapointe Returns Ann-Marie Huang Population Dynamics
Discharge High What stocks were possibly affected? Early Stuart, Early Summer
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David Patterson and Jayme Hills
Summer runs experienced above average temperatures
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David Patterson and Jayme Hills
Below Average At / Above Average
Keri Benner
pre-spawn mortality in several areas (not all) of the watershed
in 50 years at 71% (average 89%)
populations
Keri Benner, Mike Lapointe, Steve Latham
Smolt sizes in 2012 (99 mm) above average (86 mm)
2012 BY (age-4 2016 returns)
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77.9 71.9 76.3 97.4 88.3 85.8 100.7 96.3 94.8 0.0 25.0 50.0 75.0 100.0 125.0 Anderson-Seton (ES) Shuswap Complex (L) Chilko (S) & Chilko (ES)
Timber Whitehouse & Joe Tadey
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The CPUE (0.43) in 2014 is not
same cycle line (arrows) it is the lowest in the time series. EXTREMELY Preliminary Regression: predicted 470,000 at the 50% p-level
was similar to average and would therefore suggest that conditions were not
through the Discovery Islands is similar to other years.
Age-4 48 K (19K age-3 in 2015) 128 K Age-3 0.1 M 0.14 M 0.015 M 1.4 M 1.6 M 0.17 M 0.17 M 1.4 M 0.230 M 0.27 M 0.38 M 0.01 M 0.09 M 0.06 M 0.08 M 0.007 M 2016 Forecast: 0.067 M (0.500 M)
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y = 0.3416x + 2.0604 R² = 0.3
0.5 1 1.5 2
Preliminary 2015 Jack Escapements (ER Adj): 2,500
Source: K.Benner
2016 Sibling Four Year Old 50% p-level Forecast : 970,000 2016 Ricker-cyc Four Year Old 50% p-level Forecast : 1,000,000
y = 0.243x + 1.0489 R² = 0.3
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Preliminary 2015 Jack Escapements (ER Adj): 57
Source: K.Benner
2016 Sibling Four Year Old 50% p-level Forecast : 257 ,000 2016 Ricker-cyc Four Year Old 50% p-level Forecast : 256,000
(per. comm. , DFO, L. Ritchie and C. Parken)
(this falls b/w 10-25% p-level of the Chilko Power-smolt-Pi forecast) Data range: 1984-2010 Brood Years
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Perry and Hyatt. CSAS Regional Advisory Process, Fraser Sockeye 2016 Return Forecast Suppl. Meeting, Vancouver, 21 January 2016
Difference from normal temperatures
Difference from normal temperatures
Very intense warm water (red: up to 3 °C above normal) in NE Pacific, but cool (blue) along BC coast NE Pacific has cooled (blue), but warm water (red) moved to BC coast
Reynold’s data
Perry and Hyatt. CSAS Regional Advisory Process, Fraser Sockeye 2016 Return Forecast Suppl. Meeting, Vancouver, 21 January 2016
Perry, Session S2, PICES 2015 Annual Meeting, Qingdao, China, 21 October 2014
Difference from normal temperatures
Difference from normal temperatures
Reynold’s data
zooplankton occurred along Vancouver Island in 1st half of 2014 when water was cool (large nutritious species, good for fish)
zooplankton in 2nd half of 2014 and in 2015 when water was warm (small poor quality species)
1 mm
Perry and Hyatt. CSAS Regional Advisory Process, Fraser Sockeye 2016 Return Forecast Suppl. Meeting, Vancouver, 21 January 2016
Run timing group Forecast Model b
Probability that Return will be at/or Below Specified Run Size a
Stocks 10% 25% 50% 75% 90% Early Stuart Ricker (Ei) 8,000 16,000 30,000 58,000 108,000 Early Summer 236,000 424,000 837,000 1,603,000 2,963,000 Bowron MRS 6,000 11,000 21,000 40,000 72,000 Fennell power 10,000 16,000 27,000 47,000 78,000 Gates Larkin 46,000 79,000 141,000 280,000 502,000 Nadina MRJ 8,000 15,000 31,000 65,000 126,000 Pitt Larkin 33,000 51,000 79,000 120,000 190,000 Scotch Ricker 48,000 85,000 185,000 430,000 845,000 Seymour Ricker 41,000 68,000 140,000 274,000 529,000 Misc (EShu) c
RS (Scotch/Seymour)
33,000 74,000 164,000 258,000 459,000 Misc (Taseko) d R/S (Chilko) 1,000 2,000 4,000 7,000 9,000 Misc (Chilliwack) e RS (Esum) 4, 000 9,000 18,000 33,000 61,000 Misc (Nahatlatch) e RS (Esum) 6,000 14,000 27,000 49,000 92,000 Summer 1,701,000 2,681,000 4,675,000 8,764,000 16,511,000 Chilko power (juv) (Pi) 1,117,000 1,587,000 2,387,000 3,813,000 5,972,000 Quesnel Ricker-cyc 108,000 197,000 367,000 684,000 1,421,000 Late Stuart power 12,000 25,000 54,000 118,000 245,000 Stellako Larkin 186,000 261,000 390,000 552,000 823,000 Harrison f Adjusted RS1 255,000 573,000 1,414,000 3,487,000 7,858,000 Raft f Ricker (PDO) 15,000 23,000 36,000 56,000 87,000 Misc (N. Thomp. Tribs)f & g
R/S (Raft/Fennell)
1,000 2,000 3,000 7,000 14,000 Misc (N. Thomp River) f & g
R/S (Raft/Fennell)
5,000 10,000 18,000 37,000 74,000 Misc (Widgeon) f & h R/S (Birkenhead) 2,000 3,000 6,000 10,000 17,000 Late 419,000 703,000 1,236,000 2,210,000 3,998,000 Cultus MRJ 1,000 3,000 6,000 12,000 22,000 Late Shuswap Ricker-cyc 168,000 293,000 517,000 924,000 1,758,000 Portage Larkin 1,000 3,000 8,000 19,000 55,000 Weaver MRS 110,000 189,000 346,000 635,000 1,095,000 Birkenhead
Ricker (Ei)+Sibling
120,000 183,000 299,000 513,000 879,000 Misc Lillooet-Harrisoni R/S (Birkenhead) 19,000 32,000 60,000 107,000 189,000 TOTAL SOCKEYE SALMON 2,364,000 3,824,000 6,778,000 12,635,000 23,580,000
35% Chilko 21% Harrison 15% Shuswap (Early + Late) Early Shuswap
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high pre-spawn (legacy effects on juveniles unknown but possible?)
consistently high, other stocks different between samples
Below Average Survival Signals (Possibly) Average Signals of Survival (Possibly)
Uncertain Signals of Survival
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