2012
DOI: 10.1016/j.jglr.2012.02.005
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Seasonal zooplankton dynamics in Lake Michigan: Disentangling impacts of resource limitation, ecosystem engineering, and predation during a critical ecosystem transition

Abstract: Fahnenstiel, Gary L.; Cavaletto, Joann F.; Liebig, James R.; Stow, Craig A.; Nalepa, Thomas F.; Madenjian, Charles P.; and Bunnell, David B., "Seasonal zooplankton dynamics in Lake Michigan: Disentangling impacts of resource limitation, ecosystem engineering, and predation during a critical ecosystem transition" (2012 We examined seasonal dynamics of zooplankton at an offshore station in Lake Michigan from 1994 to 2003 and 2007 to 2008. This period saw variable weather, declines in planktivorous fish abundanc… Show more

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Cited by 100 publications
(92 citation statements)
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References 79 publications
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“…More recently, lake levels have declined to record-low levels, which may be influencing habitat availability along shorelines, within tributaries, and affecting lake hydrological dynamics (Gronewold and Stow, 2013). The myriad physical, chemical, and biotic changes to Great Lakes ecosystems have resulted in benthification of energy pathways and altered zooplankton and macroinvertebrate species composition and abundance Fahnenstiel et al, 2010;Nalepa et al, 2009;Pothoven et al, 2013;Vanderploeg et al, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…More recently, lake levels have declined to record-low levels, which may be influencing habitat availability along shorelines, within tributaries, and affecting lake hydrological dynamics (Gronewold and Stow, 2013). The myriad physical, chemical, and biotic changes to Great Lakes ecosystems have resulted in benthification of energy pathways and altered zooplankton and macroinvertebrate species composition and abundance Fahnenstiel et al, 2010;Nalepa et al, 2009;Pothoven et al, 2013;Vanderploeg et al, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…One could speculate, however, that because alewife densities had dropped to nearly zero by autumn 2003, and alewife consumption of Bythotrephes has been demonstrated to exceed Bythotrephes production in nearshore Lake Michigan waters , Bythotrephes densities may have increased following the alewife collapse. Note, however, that similar zooplankton community composition changes have occurred in Lake Michigan without a collapse of the alewife population (Barbiero et al, 2009b;Barbiero et al, 2012;Vanderploeg et al, 2012). Clearly, greater understanding of these putative bottom-up and topdown mechanisms is required for ecologists and managers in the Great Lakes to have some level of certainty regarding whether these changes in the Lake Huron zooplankton community are indicative of a new regime or are a shorter-term response to the multiple perturbations within the food web.…”
Section: Modelmentioning
confidence: 97%
“…For example, more frequent (at least monthly) monitoring in nearby lakes Michigan and Erie has provided a better understanding of zooplankton dynamics for species that exhibit high seasonal variability (e.g., Conroy et al, 2005;Dettmers et al, 2003;Vanderploeg et al, 2012). To facilitate more intensive sampling of zooplankton (and other trophic levels) at regular intervals, the US Environmental Protection Agency (USEPA) and Environment Canada coordinate a year of intensive sampling on one Laurentian Great Lake per year.…”
Section: Introductionmentioning
confidence: 99%
“…These state variables also are increasingly temporally autocorrelated and show high variability [10]. Therefore, autocorrelation [11,12], and standard deviation [13] are both expected to increase as resilience is lost prior to a transition. In some cases, disturbances push the state of an ecosystem toward near-tipping-point values, and therefore, the distribution of the time series also becomes asymmetric [5].…”
Section: Introductionmentioning
confidence: 99%
“…Lack of such observations imposes limitations because, in practice, it is difficult to measure high-frequency time series of the right variables at the appropriate scale. For instance, the data to explore the state of an ecosystem may need to be collected through long-term fieldwork [2,8,10,13]. As an alternative, remote sensing datasets with high temporal resolution may provide relevant ecosystem variables that can be used to retrieve indicators of critical transitions through time.…”
Section: Introductionmentioning
confidence: 99%