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As of 2005, this project is no longer current. Please see the Research Programs page for a list of current research projects. Dynamics of Alewife Recruitment Variability in Lake Michigan Collaborators Sponsor: Great Lakes Fishery Trust (GLFT web site) Rationale: Arguably, the most ecologically important fish species
in Lake Michigan is the alewife Alosa pseudoharengus due
to its dual role as predator and prey. Alewives are critical for sustaining
a diverse planktivore and salmonine community as specified by the Great
Lakes Fisheries Commission Fish Community Objectives (FCOs) for Lake Michigan.
These FCOs call for annual Hypothesis/Objectives: Causes for annual variation in alewife survival are not well understood, but historically were believed to be related to variation in temperature (duration and severity of winter, upwelling), as well as to salmonine predation and competition from adult alewives. We hypothesize that spatial and temporal variation in thermal habitat and physical advective processes, through their influence on alewife spawning behavior, larval and juvenile growth rates and spatial distributions, prey and predator availability, and overwinter mortality, determine the temporal and spatial variation in alewife survival and recruitment. Our overall objective is to identify and quantify those factors that regulate alewife recruitment in Lake Michigan. Specific objectives are: (1) to quantify larval and young-of-the-year (YOY) alewife abundance, their zooplankton prey, and predators in Lake Michigan proper and in tributary embayments; (2) to determine origin (lake vs. tributary mouth) and thermal history of surviving late stage larvae and YOY alewives; (3) to estimate and compare growth, survival, and potential recruitment of larval and YOY alewife from the lake proper and tributary embayments; (4) to link origin, abundance, growth, condition and survival of larvae and YOY alewives to overwinter survival and eventual recruitment; (5) to analyze historical databases on alewife recruitment variability under low to high alewife abundances, and compare these patterns with our results at current, low-intermediate alewife abundances; and (6) to develop regression models to predict alewife recruitment variability for use in management of Lake Michigan's salmonine fisheries. 2004 ProgressThis project was completed in 2004. Much of our effort has centered on
processing the remainder of laboratory samples of alewives, their predators
and prey. We have found significant differences in larval fish catch between
day and night and are currently adjusting our day catches based on this
information. Otolith microchemistry continues to look promising. Oxygen
stable isotope (δ18O) in the water differs between drown
river months and Lake Michigan proper. Preliminary data suggesting we
can discern origin of larvae by looking at δ18O in the
otoliths of larval fish. Field observations continue to suggest that there
is a size threshold (65mm) that larvae much achieve before winter to survive
to spring. Lastly, we have developed as statistical spawner-recruit model
that appears to reproduce historical recruitment of alewife in Lake Michigan. We are beginning to analyze hydroacoustic estimates of potential predator abundances of YOY alewives in nearshore Lake Michigan and Muskegon Lake. We completed analysis of zooplankton prey samples from 2001, and are finishing analysis of the 2002 samples. We will use these to relate larval growth rates of alewife cohorts to zooplankton prey densities and temperatures, as part of an effort to quantify the relative importance of habitat factors affecting alewife larvae survival.
Figure 1. Density (No. m-3) of alewife larvae and juveniles collected in 335-µm, 500-µm and 700-µm mesh sizes at the same dates and locations during summer, 2002 in Muskegon Lake and Lake Michigan.
Figure 2. Density (No. m-3) of alewife larvae collected during day and night tows in 335- and 500-µm mesh nets of the 0.6-m diam. bongo sampler during summer 2002.
Previous AccomplishmentsDuring the spring, summer, and fall of 2001 and 2002, we sampled age 0 alewives (using plankton nets, hydroacoustics and trawls) in near shore Lake Michigan and three drowned river mouths (Muskegon Lake, Manistee Lake, and Pigeon Lake). We characterized and related physical (temperature, transparency, etc.) and biotic (zooplankton, fish predators, etc.) habitat factors to habitat-specific hatch dates, growth rates and mortality rates, estimated from otolith increment patterns and temporal changes in densities at age. We completed the thrust of our field work during fall 2002. However, for the purpose of characterizing surviving alewives from the 2002 year-class, we augmented our field sampling by trawling for yearling alewives in Lake Michigan during spring 2003. Our laboratory analyses of samples collected during 2001-2003 are ongoing. Quantify Fish Larvae, Predators and Zooplankton Prey: Surveys
to sample ichthyoplankton and zooplankton were conducted Physical and Biological Environment: During both 2001 and 2002, Muskegon Lake warmed sooner, reached a greater maximum temperature, and subsequently cooled at an earlier date than nearshore Lake Michigan. Chlorophyll a measurements indicated consistently higher productivity in Muskegon Lake and measures of secchi depth in Muskegon Lake and Lake Michigan also suggested that Muskegon Lake was far more productive. Annual differences in primary and secondary productivity were not as evident as habitat differences, but on average chlorophyll a concentrations were higher in 2002 than in 2001. Zooplankton prey in Muskegon Lake and Lake Michigan were analyzed from net tows taken at our icthyoplankton sampling stations (augmented by tows taken at NOAA monitoring stations). Zooplankton prey densities were remarkably similar between years, and between inshore and offshore areas of Lake Michigan. During 2001 and 2002, rotifers, zebra mussel (Dreissena polymorpha) veligers (referred to hereafter as veligers), and to a lesser degree copepod Nauplii were the dominant zooplankton captured in nearshore Lake Michigan. During both years, rotifers were the dominant zooplankter sampled on virtually all dates. In 2001, densities of veligers and cladocerans (mostly Bosmina) were also relatively high. To consider the relative availability of alewife prey, we grouped zooplankton into two size-based categories. This grouping suggested that during both 2001 and 2002 densities of small-bodied zooplankton (i.e. those likely to be consumed by larval alewives) tended to be higher in Muskegon Lake (relative to Lake Michigan). Densities of large-bodied zooplankton however were not dramatically different between the two habitats. We indexed potential predator abundances of YOY alewives using hydroacoustics. We have not yet processed these data, but initial inspection suggests that during both years potential predator densities were dramatically greater in Muskegon Lake than nearshore Lake Michigan. Alewife Larvae and Juveniles: During both 2001 and 2002, larval alewife peak densities were greater in Muskegon Lake than nearshore Lake Michigan. In addition, larval alewives in drowned-river mouths (Muskegon, Manistee, and Pigeon lakes) began to emerge earlier relative to Lake Michigan. Fall trawling suggested that YOY alewife densities were not dramatically different among habitats. However, size-distributions indicated that YOY alewives in Muskegon Lake were larger compared to individuals in Lake Michigan.
Estimate and compare growth, survival, and potential recruitment of
larval and YOY alewife from the lake proper and tributaries: To facilitate
estimation of habitat-specific growth, mortality, and recruitment rates,
we have measured the total lengths and wet weights of thousands of larval
alewives captured during our field sampling. We use these measurements
together with counts of daily growth rings on sagital otoliths to generate
growth rate estimates. Based on individuals analyzed to date, we estimate
that larval alewives in Muskegon Lake grew faster (2001: 0.66 mm day-1,
n=117, R2=0.77; 2002: 0.84 mm day-1, n=42, R2=0.95)
compared to individuals captured in Lake Michigan (2001: 0.59 mm day-1,
n=43, R2=0.72). This pattern is consistent with warmer summer
temperatures (Figure 1) and greater densities of small-bodied zooplankton
in Muskegon Lake. We rely on temporal changes in densities to estimate
mortality rates. Based on this approach, we estimate higher instantaneous
mortality rates (Z) for Lake Michigan (2002: Z=0.31) compared to Muskegon
Lake (2001: Z=0.15; 2002: Z=0.20). This result is somewhat surprising
given that acoustic surveys suggest that densities of potential larval
In order to estimate the ultimate habitat-specific contribution of recruits to the adult alewife population, we have built a cohort-based model that simulates daily cohorts of age-0 alewives in two habitat-types (nearshore Lake Michigan and drowned-river mouth lakes) from emergence to the beginning of winter. This model uses our field and laboratory derived estimates of habitat-specific larval densities, emergence dates, and growth and mortality rates as inputs. The model is still being refined, but initial simulations suggest that drowned-river mouth lakes yield a disproportionate (relative to volume) number of recruits to the adult population, and that the recruits from this habitat-type tend to be larger. Nonetheless, given that nearshore Lake Michigan contains a much greater volume of water this habitat-type may ultimately produce a much greater number of overall recruits at the beginning of winter. Identify factors influencing alewife recruitment variability. We have compiled data from several sources in order to identify factors which affect annual variation in alewife recruitment success. We rely upon historical USGS fall bottom-trawling survey data to index annual variation in alewife year-class strength. We are exploring potential links between year-class strength and the following variables; annual consumption of alewives by salmonines (based on published mixed-models), annual indices of summer temperature (based on water intake data), annual indices of winter severity (based on water intake data), annual variation in water levels, and annual indices of river discharge (based on USGS gauging stations). ProductsPublicationsMadenjian, C.P., T.O. Hook, E.S. Rutherford, D.M. Mason, T.E Croley II, E.B. Szalai, and J.R. Bence. In Press, 2004. Recruitment of alewives in Lake Michigan. Transaction of the American Fisheries Society. Hook, T., E. Rutherford, S. Brines, D.M. MASON, D. Schwab, M. McCORMICK, G. Fleischer, T. DeSorcie, and W.G. Sprules. 2003. Spatially explicit measures of habitat quality and importance for young-of-the-year alewives in Lake Michigan. Estuaries 26(1):21-29. ReportsRutherford, E., D.M. MASON, Charles Madenjian, and W. Patterson. 2003. Dynamics of Alewife Recruitment Variability in Lake Michigan. Biannual Report to the Great Lakes Fishery Trust. January 2003. 8pp. Rutherford, E., D.M. MASON, Charles Madenjian, and W. Patterson. 2003. Dynamics of Alewife Recruitment Variability in Lake Michigan. Biannual Report to the Great Lakes Fishery Trust. July 2003. 15pp. PresentationsHöök, Tomas, Edward Rutherford, Doran M. Mason, Charles P. Madenjian, and Jeffrey A. Tyler. Annual variation in habitat-specific contributions of alewife recruits in Lake Michigan. 134th Annual Meeting of the American Fisheries Society. Madison WI. August 21-26, 2004.Höök, Tomas, Edward Rutherford, Michael McCormick, Dmitry Beletsky, David Schwab, Glenn Carter, and Doran Mason. 2004. Using hydrodynamic models and satellite-tracked drifter buoys to estimate larval alewife transport and mortality rates in Lake Michigan. 47th Annual Conference of the International Association of Great Lakes Research. Waterloo, Ontario, Canada. May 24-28, 2004. Last updated: 2005-07-20 ahc |
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