title: Assessment of wadeable stream resources in the driftless area ecoregion in Western Wisconsin using a probabilistic sampling design.
abstract: The Wisconsin Department of Natural Resources (WDNR), with support from the U.S. EPA, conducted an assessment of wadeable streams in the Driftless Area ecoregion in western Wisconsin using a probabilistic sampling design. This ecoregion encompasses 20% of Wisconsin's land area and contains 8,800 miles of perennial streams. Randomly-selected stream sites (n = 60) equally distributed among stream orders 1-4 were sampled. Watershed land use, riparian and in-stream habitat, water chemistry, macroinvertebrate, and fish assemblage data were collected at each true random site and an associated "modified-random" site on each stream that was accessed via a road crossing nearest to the true random site. Targeted least-disturbed reference sites (n = 22) were also sampled to develop reference conditions for various physical, chemical, and biological measures. Cumulative distribution function plots of various measures collected at the true random sites evaluated with reference condition thresholds, indicate that high proportions of the random sites (and by inference the entire Driftless Area wadeable stream population) show some level of degradation. Study results show no statistically significant differences between the true random and modified-random sample sites for any of the nine physical habitat, 11 water chemistry, seven macroinvertebrate, or eight fish metrics analyzed. In Wisconsin's Driftless Area, 79% of wadeable stream lengths were accessible via road crossings. While further evaluation of the statistical rigor of using a modified-random sampling design is warranted, sampling randomly-selected stream sites accessed via the nearest road crossing may provide a more economical way to apply probabilistic sampling in stream monitoring programs.
authors.affiliation: Bureau of Fisheries Management, Wisconsin Department of Natural Resources, 101 S. Webster St., Madison, WI 53703, USA. Michaela.miller@wisconsin.gov
authors.forename: Michael A
authors.initials: MA
authors.lastname: Miller
authors.forename: Alison C C
authors.initials: AC
authors.lastname: Colby
authors.forename: Paul D
authors.initials: PD
authors.lastname: Kanehl
authors.forename: Karen
authors.initials: K
authors.lastname: Blocksom
mesh_terms: D000818:Animals; D017753:Ecosystem; D005399:Fishes; D011336:Probability; D045483:Rivers; D012494:Sampling Studies; D013223:Statistics as Topic; D014922:Wisconsin