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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5/23/2019  |   12:15 PM - 12:30 PM   |  DOES SAMPLE TIMING MATTER? INVESTIGATING WHEN TO SAMPLE FORESTED HEADWATER STREAMS FOR ASSESSING FRESHWATER SALINIZATION IMPACTS TO BENTHIC MACROINVERTEBRATES.   |  151 ABC

DOES SAMPLE TIMING MATTER? INVESTIGATING WHEN TO SAMPLE FORESTED HEADWATER STREAMS FOR ASSESSING FRESHWATER SALINIZATION IMPACTS TO BENTHIC MACROINVERTEBRATES.

Effective monitoring and management of aquatic-life effects from freshwater salinization can be advanced through accurate description of how salinity influences benthic macroinvertebrate assemblages. However, linking salinity to biological effects is complicated because salinity and benthic macroinvertebrate sample composition often vary throughout the year. Therefore, ideal salinity-biota associations will account for the annual cycle of salinity variation and link it to organism exposure at a particular life stage. Assessment of benthic macroinvertebrate responses to salinization, such as occurs in central Appalachian (USA) streams salinized by coal mining, is typically conducted by associating macroinvertebrate assemblage structure with salinity sampled concurrently. This “snapshot” approach assesses stream conditions at a single point in time but does not capture temporal variability of salinity or macroinvertebrate sample composition. To evaluate how sample timing might influence conclusions drawn about salinity effects to aquatic life, we investigated whether measures of salinity that integrate exposure over time, or represent certain periods of time that may correspond with sensitive life stages of taxa, may be more accurate than snapshot salinity in predicting macroinvertebrate assemblage structure. Ensuring decisions are based on accurate linkages between salinity and biota should yield effective management.

  • Bioassessment
  • Ecotoxicology
  • Management

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Presenters/Authors

Anthony Timpano (), Virginia Tech, atimpano@vt.edu;


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Carl Zipper (), Virginia Tech, czip@vt.edu;


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David Soucek (), Illinois Natural History Survey, soucek@illinois.edu;


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Stephen Schoenholtz (), Virginia Tech, schoenhs@vt.edu;


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