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The role of climate and ocean drivers on fish productivity Jennifer Boldt, Ian Perry, Jaclyn Cleary, Matt Thompson, Nathan Taylor, and many others Fisheries and Oceans Canada, Science Branch, Pacific Biological Station 3190 Hammond Bay Road, Nanaimo, B.C., V9T 6N7, Canada. [email protected] Long-term Variability in Fish Populations (Baumgartner et al. 1992) 1,700 years of Sardine and Anchovy Population Trends Common Patterns in Fish Recruitment & Survival Salmon and herring in the Bering Sea/Aleutian Islands and the Gulf of Alaska Mueter, F.J., J.L. Boldt, B.A. Megrey, and R.M. Peterman. 2007. Recruitment and survival of Northeast Pacific Ocean fish stocks: temporal trends, covariation, and regime shifts. CJFAS 64: 911-927. Fish Recruitment and Survival (Cury) • Hjort “critical period” (1913): oceanographic environment affects larvae survival and affects recruitment success. • Cushing “match-mismatch” hypothesis (1969): production of fish larvae matches or mismatches production of their food. • Lasker “stability” hypothesis (1975, 1978): stable environment is needed to allow successful feeding for larvae. • Parrish et al.” transport” hypothesis (1981) : Larvae transported by currents offshore are lost for recruitment. • Rothschild and Osborn/MacKensie ”turbulence” hypothesis (1988): micro turbulences increase the encounter rates between larvae and their food. • Sinclair ”member/vagrant” hypothesis (1988): constraints imposed by mesoscale oceanographic events on the life cycle. • Bakun ”triad” hypothesis (1993): enrichment, retention, concentration Pacific Currents Atmospheric Forcing and Ocean Responses (Di Lorenzo et al. 2013) • Temperature • Salinity • Water column structure • Currents/transport • Freshwater input • Upwelling • Oxygen • Nutrients Pacific Ocean Indices (Crawford 2014) Crawford. 2014. Global temperature in 2013, and anomalies in the Gulf of Alaska. In Perry, R.I. (Ed). State of the physical, biological and selected fishery resources of Pacific Canadian marine ecosystems in 2013. Can. Tech. Rep. Fish. Aquat. Sci. 3102: vi + 136 p. Sea Surface Temperature Crawford, 2014 The Warm ‘Blob’ Courtesy of Ian Perry January 2014 January 2015 Difference from normal temperatures Difference from normal temperatures Very intense warm water (3 °C above normal) in NE Pacific, but cool along BC coast NE Pacific has cooled, but warm water now along BC coast 2015 U.S. – Canada collaborative project: Evaluate hypotheses regarding the expected response of fish to anomalous ocean conditions in the GOA, BC, PNW. Primary Productivity and Temperature Mueter, F.J., et al. 2009. Ecosystem responses to recent oceanographic variability in high-latitude Northern Hemisphere ecosystems. Progress in Oceanography 81: 93-110. Primary & Zooplankton Productivity – Hecate St., QCI Ware, D., and McQueen, D. 2006. Retrospective estimates of interannual and decadal variability in lower trophic level production in the Hecate Strait-Queen Charlotte Sound region from 1958 to 1998. Can. Tech. Rep. Fish. Aquat. Sci. 2656: vii + 31 p. Primary & Zooplankton Productivity – Hecate St., QCI Ware, D., and McQueen, D. 2006. Retrospective estimates of interannual and decadal variability in lower trophic level production in the Hecate Strait-Queen Charlotte Sound region from 1958 to 1998. Can. Tech. Rep. Fish. Aquat. Sci. 2656: vii + 31 p. Carrying Capacity and Bottom-Up Forcing Ware and Thomson (2005) Positive correlation between: chl-a and fish yield for NPac fish, BC groundfish & herring Carrying Capacity and Bottom-Up Forcing Perry and Schweigert (2008) Correlation between primary & herring productivity Drivers of change acting on the Strait of Georgia 15 natural and human Driver & Pressure (explanatory) variables examined for statistical relationships with 22 State & Impact (response) variables for the Strait of Georgia, 1970-2010 Explanatory variables identified to be statistically significant (using redundancy analysis) were: • sea surface temperature, • wind speed, • North Pacific Gyre Oscillation; • human population, • recreational fishing effort, • number of Chinook salmon released from hatcheries Perry and Masson, 2013. Progr in Oceanogr. These six variables describe regime-like behaviour of the SOG since 1970. 0.4 'Parsimonious' RDA Perry(Scaling=0) and Masson, 2013. Progr in Oceanogr. 1972 1976 0.2 1975 1981 1973 1980 1977 1996, 1998-2007 1984 20042000 2002 1999 1998 2001 1971 1983 1979 0.0 1978 1974 1982 1996 2007 2005 2003 2006 1990 -0.2 1985 1991 1986 1995 1997 19921994 1989 1988 -0.4 RDA Axis 2, 6% of total variance 1971-1984 1987 1985-1995, 1997 1993 -0.4 -0.2 0.0 0.2 RDA Axis 1, 66% of total variance 0.4 Courtesy of Di Lorenzo, 2014 Zooplankton Southern Vancouver Island Boreal Shelf Copepods Northern Vancouver Island Boreal Shelf Copepods Vancouver Island Biomass anomaly Galbraith et al. 2014. State of the Ocean Report Subarctic Copepods Southern Copepods Subarctic Copepods Southern Copepods Environmental Effects on Biology • Light - amount and timing of primary production • Temperature –distribution, primary production timing, spawn timing and amount, fecundity, egg size, egg development, hatching rates, metabolism, growth rates, swim speeds, disease, increased predation, presence of new predators or competitors... • Salinity – water column structure and production, hatch time, growth • Water column structure – amount and timing of primary production • Currents/transport – respiration for eggs, transport and distribution of animals, retention or loss of larvae, concentration of animals/prey, prey species composition • Freshwater input - amount and timing of primary production, retention of larvae • Sea level - retention • Upwelling – nutrients, oxygen, temperature • Oxygen – life or death, distribution • Nutrients – amount of primary production • Acidification – amount of shell-forming prey Environmental Effects on Biology • effects: lethal, controlling, directive, limiting, and masking • levels: organ, organism, population, or ecosystem • dependent on previous history, exposure, sensitivity, rate of change, and presence of other synergistic or antagonistic factors Primary production amount (12) Temperature (10, 13) Temperature (10) Water movement (9) Salinity (9) Temperature (1, 2, 3, 4, 5, 6) River discharge (3, 4, 5) Salinity (1, 4, 5) Sea level (4, 5) Ekman transport (2, 4, 5) Upwelling (6) Temperature (11) May-Jun Primary production timing (7) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Publication Dreyfus-Leon and Schweigert 2008 Zebdi and Collie 1995 Stocker et al. 1985 Stocker and Noakes 1988 Schweigert and Noakes 1990 Williams and Quinn 2000 Schweigert et al. 2013 Ramey and Wickett 1973 Alderdice and Hourston 1985 Tanasichuk and Ware 1987 Tanasichuk 1997 Perry and Schweigert 2008 Hay and Kronlund 1987 Ware and Thomas 2005 Pacific Herring Recruits, 1950-2014 (DFO) Juvenile Herring and Nearshore SOG Pelagic Survey (Thompson et al., 2014) • Annual, 1992-2014 (except 1995) • September-October • Night-time sampling 8 • Fish species composition, relative abundance, morphometrics 9 • Zooplankton • CTD 4 • 10 “Core” Transects (1st stage sampling units) • 5 stations 10 (2nd stage sampling units) per transect • Open water and channel type habitats (strata) 11 3 St ra it o 5 1 2 6 fG eo rg ia SOG Age-0 Herring Catches DRAFT!) (Boldt et al. in progress; SOG Age-0 Herring and Spring Bloom Timing (Schweigert et al. 2013) •The largest herring year-classes occurred when the spring bloom began between DOY 60 and 80. •Stronger year-classes most frequent when spawning extends to ~DOY 90. •Support for Match-Mismatch hypothesis Herring and Sardine Distribution – WCVI Nighttime trawl survey Herring - 2012 50.0 50.5 51.0 Sardine - 2012 (Boldt et al. 2012) -8 49.5 -10 -14 48.0 48.5 49.0 -12 -128 -127 -126 -125 -124 -129 -128 -127 -126 -125 Herring and Sardine Diets– 2012 (Boldt et al. 2012) Species overlap= Species= ANOSIM Global R (p-value) Species Co-occurrence 0.424 (0.001) 0.109 (0.001) ANOSIM on Bray-Curtis similarity matrix based on 4th-root transformed data La Perouse Survey, 2014 Herring Mix Herring Sardine Zooplankton Location SST etc. .. Generalized Additive Model Sardine & herring distribution ~ biological & environmental variables Pacific Herring Weight-at-Age, 1950-2014 (J. Cleary, DFO, pers. comm.) Otolith Growth Chronology (Black et al. 2013) Growth chronologies used to: • Improve accuracy of ages used in stock assessments • Assess declines in size-at-age of species that may be related to declines in growth rate and productivity. Growth Chronology Current DFO SPERA Project: • Develop multidecadal growth chronology for Pacific Herring (& hake, sablefish) using historically-collected scales • Evaluate hypotheses regarding declines in size-at-age • Identify coast-wide climate-growth relationships • Develop coast-wide proxies of past environmental variability • Examine patterns across species, latitudinal, or topographic gradients related to the impact of oceanographic drivers on ecosystem productivity. • Project Lead: John Holmes • Collaborators: Shayne MacLellan, Stephen Wischniowski, Darlene Gillespie, Bryan Black, Jennifer Boldt ? Courtesy of Matt Thompson, DFO, 2015 Summary • Environmental variables affect fish productivity through enrichment, concentration, retention • Effects at organism to ecosystem-level and can depend on previous history • Temperature appears to be important at all life stages and processes • Research projects are underway • Current factors that may be important: warm ‘blob’, and ‘?’ Contributors & Acknowledgements Kristen Daniel Linnea Flostrand Charles Fort Moira Galbraith Stéphane Gauthier Doug Hay Vanessa Hodes Terry Quinn Chris Rooper Jake Schweigert Tom Therriault Pacific Salmon Foundation Herring Conservation Research Society W.E. Ricker captain, crew, participants SOG juvenile herring survey participants Zotec Services Emanuele Di Lorenzo Doug Henderson Sandy McFarlane Chris O’Grady