EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
6/08/2017 | 12:00 PM - 12:15 PM | Assessing and Predicting the Biological Health of NC Piedmont streams using Hierarchical Modeling | 306C
Assessing and Predicting the Biological Health of NC Piedmont streams using Hierarchical Modeling
The degradation of wadeable streams by human development alters fundamental physical, chemical and biological properties of these systems. Though low thresholds (10%) of impervious cover in catchment areas have been shown to substantially degrade the biological health of streams, other important predictors of stream health have not been clearly determined. Using macroinvertebrate sampling data from more than 500 sites collected by multiple North Carolina institutions from 1992 - 2015, our study uses a hierarchical statistical modeling approach to assess trends across the NC piedmont to determine the main drivers of stream degradation as well as their interactions. The ultimate goal of our research is to assess natural factors, flow regimes, temperature fluxes, anthropogenic stressors, and water quality parameters at the catchment level and sampling location that can accurately predict the biological health of streams. Preliminary results indicate that anthropogenic land cover, water quality parameters (specific conductance and dissolved oxygen), instream habitat and geologic conditions all have significant relationships with the biotic indices of streams. We further propose to illustrate how the model can predict changes in biological health under various development and water quality improvement scenarios.
- S23 Rehabilitating urban streams: perspectives from science and management
- C27 Landuse and Non-Point source Impacts
- C03 Invertebrates
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Presenters/Authors
Jonathan Miller
(), North Carolina State University, jwmille7@ncsu.edu;
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Daniel Obenour
(), NC State University, drobenour@ncsu.edu;
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