EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
5/23/2019 | 2:30 PM - 2:45 PM | USING CONCEPTS FROM RIVPACS MODELS TO IMPROVE MULTI METRIC INDEX BIOASSESSMENTS | 150 DEF
USING CONCEPTS FROM RIVPACS MODELS TO IMPROVE MULTI METRIC INDEX BIOASSESSMENTS
Classification systems in ecology are used to understand variability among and within systems. While it’s understood that classification systems will rarely fully describe continuous ecosystems, many classification systems are still widely accepted. In bioassessments classification systems are used to describe assemblages, potential structure and predict changes in composition with increasing degradation. Fish bioassessments that use a multi-metric index approach often classify streams as size and temperature are known factors structuring species composition. RIVPACS bioassessments handle issues with classification by predicting probabilities of a site belonging to any pre-determined site class and multiplying by each observed species occurrence rate. We adapted this technique to five Wisconsin DNR fish-based MMI models by building a predictive model that assigned probabilities of an observed species assemblage belonging to any pre-determined stream assemblage-based class and weighted corresponding MMI score (pMMI). We tested the efficacy of the pMMI against the classification-based MMI (cMMI) by comparing the MMIs to a disturbance model and a network of reference sites. The pMMI out-performed the cMMI with a stronger correlation to disturbance (r = -0.36 to -0.27) and was more precise (sd = 9.3 to 10.5).
- Bioindicators
- Assessment
- Fish
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Presenters/Authors
Michael Shupryt
(), WI Department of Natural Resources, Michael.Shupryt@wisconsin.gov;
ASHA DISCLOSURE:
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Nonfinancial -