EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021

(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)

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5/24/2021  |   8:30 AM - 10:30 AM   |  INDIVIDUAL-LEVEL RESPONSES OF FRESHWATER MUSSEL SPECIES WITH DIFFERENT LIFE-HISTORY STRATEGIES TO SUBLETHAL STRESSORS IN A DYNAMIC ENERGY BUDGET MODEL   |  Virtual Platform

INDIVIDUAL-LEVEL RESPONSES OF FRESHWATER MUSSEL SPECIES WITH DIFFERENT LIFE-HISTORY STRATEGIES TO SUBLETHAL STRESSORS IN A DYNAMIC ENERGY BUDGET MODEL

In the United States there are approximately 90 freshwater mussel species listed under the federal Endangered Species Act, exhibiting a wide range of life-history traits. Population modeling is integral to facilitating risk assessments, but is time consuming and requires large amounts of, often unavailable, data. One solution is to select and use species that may be representative of a wider group. The objective of this study was to compare the effects of hypothetical stressors on individual-level endpoints of freshwater mussels with different life-history strategies. Using previously described life-history guilds, we selected a federally-listed and non-listed species from each. We then parameterized these species in a Dynamic Energy Budget model and applied hypothetical stressors with different physiological modes of action. We measured effects on individual-level endpoints, such as shell length and fecundity. We compared results between species to determine if responses varied between species with different life-history strategies or listing statuses. These results are intended to help us determine if non-listed species of a particular life-history category can serve as appropriate representatives for listed species in those same categories in risk assessment exercises, such as population modeling.

  • Conservation
  • Models
  • Energy flows

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Presenters/Authors

Adrian Moore (), University of Minnesota, Twin Cities, apmoore665@gmail.com;


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Nika Galic (), Syngenta Crop Protection LLC, nika.galic@syngenta.com;


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Maxime Vaugeois (), University of Minnesota, Twin Cities, mvaugeoi@umn.edu;


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Dan Hornbach (), Macalester College, hornbach@macalester.edu;


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Richard Brain (), Syngenta Crop Protection LLC, richard.brain@syngenta.com;


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Valery Forbes (), University of Minnesota, veforbes@umn.edu;


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