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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5/27/2021  |   2:00 PM - 3:30 PM   |  IMPROVING BIOLOGICAL CONDITION ASSESSMENT ACCURACY BY MULTIMETRIC INDEX APPROACH WITH MICROALGAE IN STREAMS AND LAKES   |  Virtual Platform

IMPROVING BIOLOGICAL CONDITION ASSESSMENT ACCURACY BY MULTIMETRIC INDEX APPROACH WITH MICROALGAE IN STREAMS AND LAKES

MMI approach is a broadly used in ecological assessment. Accounting for natural variation and disentangling covariation between natural environmental factors and human disturbance factors are imperative for an accurate assessment. Lots of progress has been made recently on the aforementioned two aspects. Three approaches, a priori classification of sites by regions or typologies, site-specific modeling of expected reference condition and varying metrics in site groups, have been tested in lakes and streams to improve assessment accuracy. All existed studies support that site-specific modeling can efficiently account for natural variation and generate a MMI with good performance. However, until now, no strong evidence has shown that diatom/blue-algae typologies are better than regionalization frameworks on accounting for natural variation either in lakes or in streams. To separate the natural variation explained by site specific modeling from that of varying metrics is necessary for a thorough and accurate evaluation on the valuableness of site-grouping by typologies. Different performance of varying metrics among site groups of streams and lakes was most probably caused by the lack of representativeness of diatom metrics on biological condition rather than the complex multi-stressor gradients in streams and rivers.

  • Stream
  • Stressor
  • Contaminants

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Presenters/Authors

Bo Liu (), Hebei University, liubo3@msu.edu;


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