Skip to main content

Advertisement

Log in

Assessment of wadeable stream resources in the driftless area ecoregion in Western Wisconsin using a probabilistic sampling design

  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Barbour, M. T., Gerritsen, J., Snyder, B. D., & Stribling, J. B. (1999). Rapid bioassessment protocols for use in streams and wadeable rivers: Periphyton, benthic macroinvertebrates, and fish, second edition. EPA 841-B-99-002. Washington: U. S. Environmental Protection Agency, Office of Water.

    Google Scholar 

  • Becker, G. C. (1983). Fishes of Wisconsin. Madison: University of Wisconsin Press.

    Google Scholar 

  • Cochran, W. G. (1977). Sampling techniques (3rd ed.). New York: Wiley.

    Google Scholar 

  • Diaz-Ramos, S., Stevens, D. L. Jr., & Olsen, A. R. (1996). EMAP statistical methods manual. EPA/620/R-96/002. U.S. Environmental Protection Agency, Office of Research and Development, National Health Effects and Environmental Research Laboratory, Western Ecology Division, Corvallis, Oregon.

  • Gibson, G. R. Jr., Barbour, M. T., Stribling, J. B., Gerritsen, J. & Karr, J. R. (1996). Biological criteria: Technical guidance for streams and small rivers. EPA/822-B-96-001. Washington: U.S. Environmental Protection Agency, Office of Science and Technology.

    Google Scholar 

  • Hilsenhoff, W. L. (1987). An improved biotic index for organic stream pollution. Great Lakes Entomologist, 20, 31–39.

    Google Scholar 

  • Hughes, R. M., Larsen, D. P., & Omernik, J. M. (1986). Regional reference sites: A method for assessing stream potentials. Environmental Management, 10, 629–635.

    Article  CAS  Google Scholar 

  • Ihaka, R., & Gentleman, R. (1996). R: A language for data analysis and graphics. Journal of Computational and Graphical Statistics, 5, 239–314.

    Article  Google Scholar 

  • Keys, J. E. Jr., Carpenter, C. A., Hooks, S. L., Koeneg, F. G., McNab, W. H.,Russell, W. E., et al. (1995). Ecological units of the Eastern United States—first approximation. Technical publication R8-TP 21. Map (scale 1:3,500,000). Atlanta: U.S. Department of Agriculture, Forest Service.

    Google Scholar 

  • Lammert, M., & Allan, J. D. (1999). Assessing biotic integrity of streams: Effects of scale in measuring the influence of land use/cover and habitat structure on fish and macroinvertebrates. Environmental Management, 23, 257–270.

    Article  Google Scholar 

  • Larsen, D. P. (1997). Sample survey design issues for bioassessment of inland aquatic ecosystems. Human and Ecological Risk Assessment, 3, 979–991.

    Google Scholar 

  • Lyons, J. (1992a). The length of stream to sample with a towed electrofishing unit when fish species richness is estimated. North American Journal of Fisheries Management, 12, 198–203.

    Article  Google Scholar 

  • Lyons, J. (1992b). Using the index of biotic integrity (IBI) to measure environmental quality in warmwater streams of Wisconsin. St. Paul: General Technical Report NC-49. North Central Forest Experiment Station, U.S. Department of Agriculture.

  • Lyons, J., Wang, L., & Simonson, T. D. (1996). Development and validation of an index of biotic integrity for coldwater streams in Wisconsin. North American Journal of Fisheries Management, 16, 241–256.

    Article  Google Scholar 

  • Miller, M. A., Colby, C. C., & Kanehl, P. D. (2006). Report on the regional environmental monitoring and assessment program study of wadeable streams in the driftless area ecoregion in Western Wisconsin. EPA 600/R-06/165.

  • Omernik, J. M. (1987). Ecoregions of the conterminous United States. Annals of the Association of American Geographers, 77, 118–125.

    Article  Google Scholar 

  • Simonson, T. D., Lyons, J., & Kanehl, P. D. (1993). Guidelines for evaluating fish habitat in Wisconsin streams (36 p.). Gen. Tech. Rep. NC-164. St. Paul, MN: U.S. Dept. of Ag. Forest Service. North Central Forest Exp. Station.

  • Sokal, R. R., & Rohlf, F. J. (1981). Biometry (2nd ed.). New York: Freeman.

    Google Scholar 

  • Stevens, D. L. Jr., & Olsen, A. R. (2004). Spatially-balanced sampling design of natural resources. Journal of the American Statistical Association, 99, 262–278.

    Article  Google Scholar 

  • Strahler, A. N. (1957). Quantitative analysis of watershed geomorphology. Transactions of the American Geophysical Union, 38, 913–920.

    Google Scholar 

  • Wisconsin Department of Natural Resources (1998). Wisconsin initiative for statewide cooperation on landscape analysis and data. Madison, WI 53703

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Michael A. Miller.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Miller, M.A., Colby, A.C.C., Kanehl, P.D. et al. Assessment of wadeable stream resources in the driftless area ecoregion in Western Wisconsin using a probabilistic sampling design. Environ Monit Assess 150, 75–89 (2009). https://doi.org/10.1007/s10661-008-0679-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10661-008-0679-6

Keywords

Navigation