Lake Superior zooplankton biomass: Alternate estimates from a probability-based net survey and spatially extensive LOPC surveys

Yurista, Peder M.; Kelly, John R.; Miller, Samuel E.

doi:10.1016/j.jglr.2009.03.004

Cited by 39 publications

(23 citation statements)

References 27 publications

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“…This is consistent with bloaters undergoing DVM of a smaller magnitude, remaining closer to the bottom at night (TeWinkle and Fleischer, 1999;Yule et al, 2007). Cisco exhibited positive selection for adult calanoid copepods and Bythotrephes which are typically found high in the water column (Yurista et al, 2009), supporting the conclusions of Link (1998) that cisco are size-selective predators on zooplankton. Moreover, cisco are mainly pelagic and undergo a more limited DVM as compared to deepwater coregonines (Stockwell et al, 2010), thus their spatial overlap with Mysis is lower than that of kiyi.…”

Section: Discussionsupporting

confidence: 84%

Prey selection by the Lake Superior fish community

Isaac

Hrabik

Stockwell

et al. 2012

Journal of Great Lakes Research

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Section: Discussionsupporting

confidence: 84%

Prey selection by the Lake Superior fish community

Isaac

Hrabik

Stockwell

et al. 2012

Journal of Great Lakes Research

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“…For the lakes chosen, these surface temperatures are valid throughout the littoral zone (defined as near-shore areas with total depth 5 m) within 1-2 1C (Zhang et al, 2008;Yurista et al, 2009). This is the preferred habitat for mottled sculpin, though they can be found deeper than other littoral fish (Lyons, 1987).…”

Section: Development Of Climate Scenariosmentioning

confidence: 99%

Forecasting the effects of global change scenarios on bioaccumulation patterns in great lakes species

Ng¹,

Gray²

2010

Global Change Biology

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Climate change will have substantial impacts on biodiversity, particularly for aquatic species. Warming temperatures and changing weather patterns will also remobilize and modify chemical partitioning. Holding millions of cubic yards of sediments contaminated with persistent legacy chemicals such as polychlorinated biphenyls (PCBs) and dioxins, the Laurentian Great Lakes are a laboratory for observing interactions between biological and chemical responses to climate change. They provide a wide range of habitat to a variety of species, from littoral forage fish to deep-water predators. In this paper, we couple bioenergetic and bioaccumulation models to investigate the biological and chemical effects of climate change in the Great Lakes. We consider three species: round goby, a warm-water invasive forage fish; mottled sculpin, a cool-water native forage fish; and lake trout, a cold-water native predator. Using our coupled models, we calculate the accumulation of a representative persistent chemical, PCB-77, under four climate scenarios for Lake Erie and Lake Superior. Predator-prey (lake trout-round goby) interactions and food availability (high-low) are incorporated into our simulations. For cool-to cold-water species (sculpin, lake trout) we find that warm temperatures limit growth. For warm-water species (round goby) cold temperatures limit growth. The impact of climate warming on growth depends on the winter lows as well as the summer highs of the scenario, in combination with the species' critical upper and lower thermal limits. We find conditions for high growth and consumption rates generally lead to high bioaccumulation. However, this can be confounded by predator-prey dynamics, as mismatches in the temperature preferences of predator and prey can lead to mismatches in relative growth and uptake rates. As predator-prey dynamics are expected to undergo substantial shifts with changing climate, these relative thermal sensitivities will be key in determining the implications of climate change for bioaccumulation, particularly in top predator species.

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“…In the past, abundances of prey such as zooplankton and Diporeia were reportedly higher in Lake Michigan (Diporeia; Nalepa et al 2007Nalepa et al , 2009; Barbiero et al 2011) or Lake Huron (zooplankton; Barbiero et al 2001) than in Lake Superior. However, more recent data suggest that after large-scale food web changes, abundances of these prey are now similar across Lakes Michigan, Huron, and Superior (Barbiero et al 2009a(Barbiero et al , 2009b(Barbiero et al , 2011Yurista et al 2009). In contrast, historical differences in Mysis abundance among lakes appear to persist (Carpenter et al 1974;Grossnickle and Morgan 1979;McDonald et al 1990), with higher abundances occurring in Lakes Michigan and Superior than in Lake Huron (Jensen et al 2009;Mida 2010).…”

Section: Discussionmentioning

confidence: 99%

Energy Density of Bloaters in the Upper Great Lakes

et al. 2012

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We evaluated the energy density of bloaters Coregonus hoyi as a function of fish size across Lakes Michigan, Huron, and Superior in 2008–2009 and assessed how differences in energy density are related to factors such as biomass density of bloaters and availability of prey. Additional objectives were to compare energy density between sexes and to compare energy densities of bloaters in Lake Michigan between two time periods (1998–2001 and 2008–2009). For the cross‐lake comparisons in 2008, energy density increased with fish total length (TL) only in Lake Michigan. Mean energy density adjusted for fish size was 8% higher in bloaters from Lake Superior than in bloaters from Lake Huron. Relative to fish in these two lakes, small (<125 mm TL) bloaters from Lake Michigan had lower energy density, whereas large (>175 mm TL) bloaters had higher energy density. In 2009, energy density increased with bloater size, and mean energy density adjusted for fish size was about 9% higher in Lake Michigan than in Lake Huron (Lake Superior was not sampled during 2009). Energy density of bloaters in Lake Huron was generally the lowest among lakes, reflecting the relatively low densities of opossum shrimp Mysis diluviana and the relatively high biomass of bloaters reported for that lake. Other factors, such as energy content of prey, growing season, or ontogenetic differences in energy use strategies, may also influence cross‐lake variation in energy density. Mean energy density adjusted for length was 7% higher for female bloaters than for male bloaters in Lakes Michigan and Huron. In Lake Superior, energy density did not differ between males and females. Finally, energy density of bloaters in Lake Michigan was similar between the periods 2008–2009 and 1998–2001, possibly due to a low population abundance of bloaters, which could offset food availability changes linked to the loss of prey such as the amphipods Diporeia spp.

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Lake Superior zooplankton biomass: Alternate estimates from a probability-based net survey and spatially extensive LOPC surveys

Cited by 39 publications

References 27 publications

Prey selection by the Lake Superior fish community

Prey selection by the Lake Superior fish community

Forecasting the effects of global change scenarios on bioaccumulation patterns in great lakes species

Energy Density of Bloaters in the Upper Great Lakes

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