EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
5/20/2019 | 2:00 PM - 2:15 PM | A BIGGER BANG FOR THE BUG: USING ASSESSMENT DATA FOR STRESSOR IDENTIFICATION | 250 CF
A BIGGER BANG FOR THE BUG: USING ASSESSMENT DATA FOR STRESSOR IDENTIFICATION
Most US state environmental agencies collect macroinvertebrate monitoring data routinely and most have developed indicators for use in making aquatic life use assessments. Once assessments are completed, these data are set aside; but, there is a veritable treasure trove of information locked within the presence and abundance data states collect, waiting to be mined to help a myriad of water quality regulatory programs including: criteria setting and TMDLs. This talk describes how we are using taxon presence and abundance information for stressor identification. West Virginia is a state with a large backlog of biological impairments – cause unknown; a condition in which many state assessment programs find themselves. We developed stressor identification tools using biological presence and abundance data that support causal assessments to move these impairments along to restoration actions. We used three modeling approaches for the West Virginia dataset to inform stressor identification: sensitive/tolerant taxa models using O/E model output, percent model affinity models, and discriminant analysis. This talk describes these approaches, their overall performance in diagnosing acid, ion, metal, organic enrichment, and sediment impairment and how these methods could be incorporated into a causal assessment approach.
- Bioassessment
- Management
- Monitoring
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Presenters/Authors
Michael Paul
(), Tetra Tech, Inc., Michael.Paul@tetratech.com;
ASHA DISCLOSURE:
Financial -
Nonfinancial -