Comparison of aquatic macroinvertebrate samples collected using different field methods

Fact Sheet 216-96
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Abstract

Government agencies, academic institutions, and volunteer monitoring groups in the State of Wisconsin collect aquatic macroinvertebrate data to assess water quality. Sampling methods differ among agencies, reflecting the differences in the sampling objectives of each agency. Lack of infor- mation about data comparability impedes data shar- ing among agencies, which can result in duplicated sampling efforts or the underutilization of avail- able information. To address these concerns, com- parisons were made of macroinvertebrate samples collected from wadeable streams in Wisconsin by personnel from the U.S. Geological Survey- National Water Quality Assessment Program (USGS-NAWQA), the Wisconsin Department of Natural Resources (WDNR), the U.S. Department of Agriculture-Forest Service (USDA-FS), and volunteers from the Water Action Volunteer-Water Quality Monitoring Program (WAV). This project was part of the Intergovernmental Task Force on Monitoring Water Quality (ITFM) Wisconsin Water Resources Coordination Project. The numbers, types, and environmental tolerances of the organ- isms collected were analyzed to determine if the four different field methods that were used by the different agencies and volunteer groups provide comparable results. Additionally, this study com- pared the results of samples taken from different locations and habitats within the same streams.

Study Area

Publication type Report
Publication Subtype USGS Numbered Series
Title Comparison of aquatic macroinvertebrate samples collected using different field methods
Series title Fact Sheet
Series number 216-96
DOI 10.3133/fs21696
Year Published 1996
Language English
Publisher U.S. Geological Survey
Contributing office(s) Wisconsin Water Science Center
Description 4 p.
Country United States
State Wisconsin
Other Geospatial Duck Creek, Mecan River, Milwaukee River, Neenah Creek, Silver Creek
Online Only (Y/N) N
Additional Online Files (Y/N) N
Google Analytic Metrics Metrics page
Additional publication details