Water quality measurements to predict macroinvertebrate diversity in piedmont aquatic habitats

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
Cassandra L. MacCheyne (Creator)
Institution
The University of North Carolina at Greensboro (UNCG )
Web Site: http://library.uncg.edu/
Advisor
Malcolm Schug

Abstract: Aquatic Ecosystems, while vital to everyday life, are threatened by anthropogenic activities and lack of management. Wetlands are a part of this, and recent research shows that they are of importance, but a large percentage has been lost over time. To mitigate this, research is being done in effectiveness of restoration/creation. Macroinvertebrates can help with identifying issues and assist in management. The piedmont region is lacking in research when it comes to Wetlands. To assist with this issue, I created prediction models for the EPT Orders utilizing historical data from the North Carolina Benthic Macroinvertebrate project and tested them for significance and correlation in R. Model testing showed that prediction modeling can be used to predict macroinvertebrate diversity in Wetlands though this predictability is moderate. Modeling also showed that Specific Conductivity having an effect on diversity.

Additional Information

Publication
Thesis
Language: English
Date: 2023
Keywords
Macroinvertebrate, North Carolina, Piedmont, Prediction Modeling, Water Quality, Wetland
Subjects
Water quality $z North Carolina $x Measurement
Aquatic invertebrate populations $z North Carolina
Aquatic biodiversity $z North Carolina

Email this document to