Skip to main content

Advertisement

Log in

Stressor tolerance values for benthic macroinvertebrates in Mississippi

  • Primary Research Paper
  • Published:
Hydrobiologia Aims and scope Submit manuscript

Abstract

Conceptually, tolerance values represent the relative capacity of aquatic organisms to survive and reproduce in the presence of known levels of stressors. Operationally, they represent the relative abundance and co-location of organisms and stressors. These numeric values are then used for calculating tolerance metrics. Defensibility of biological assessments using tolerance metrics is compromised if the origins of the tolerance values or technical foundations of metrics are unknown. To minimize circularity and maximize objectivity, we define stressed conditions using physical and chemical factors. Also, since single, isolated stressors in stream systems are rare, we used an approach that combines multiple physical and chemical characteristics into a single general stressor gradient. In this paper, we describe development of tolerance values for benthic macroinvertebrate taxa collected from 455 wadeable stream sites throughout Mississippi, USA, except the Alluvial Plain. Principal components analysis (PCA) was used to develop a gradient that incorporated direct (instream physical and chemical) and indirect (land use) stressors, which was then scaled from 0 to 10. Weighted averaging of the relative abundance of each taxon was used to assign tolerance values based on the point of greatest relative abundance along the stressor gradient. Tolerance values were derived for 324 of the 567 taxa collected from the study sites, and primarily represented sensitivity to agricultural influences including degradation of physical habitat and nutrient enrichment, the dominant stressors within the state. We suggest that this approach could be used in other areas of the country to develop new tolerance values, refine existing ones, and may be a useful approach for other taxonomic groups.

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

  • ADEM/MDEQ, 1995. Alabama/Mississippi Pilot Reference Site Project, 1990–1994. Alabama Department of Environmental Management, Field Operations Division, Ecological Studies Section; Mississippi Department of Environmental Quality, Office of Pollution Control, Biological Services Section

  • Allan J. D., Erickson D. L. and Fay J. (1997). The influence of catchment land use on stream integrity across multiple spatial scales. Freshwater Ecology 37: 149–162

    Article  Google Scholar 

  • Barbour M. T., Gerritsen J., Snyder B. D. and Stribling J. B. (1999). Rapid Bioassessment Protocols for Use in Streams and Wadeable Rivers: Periphyton, Benthic Macroinvertebrates, and Fish. U. S. Environmental Protection Agency, Office of Water, Washington, DC

    Google Scholar 

  • Black R. W., Munn M. D. and Plotnikoff R. W. (2004). Using macroinvertebrates to identify biota-land cover optima at multiple scales in the Pacific Northwest, USA. Journal of the North American Benthological Society 23(2): 340–362

    Article  Google Scholar 

  • Chutter F. M. (1972). An empirical biological index of the quality of water in South African streams and rivers. Water Research 6: 19–30

    Article  Google Scholar 

  • Betts E. A. and Resh V. H. (2002). Cow manure in headwater streams: tracing aquatic insect responses to organic enrichment. Journal of the North American Benthological Society 21(2): 278–289

    Article  Google Scholar 

  • ESRI. (2001). ArcGIS 8.1. Environmental Systems Research Institute, Redlands, California

    Google Scholar 

  • Hilsenhoff W. L. (1987). An improved biotic index of organic stream pollution. Great Lakes Entomologist 20: 30–39

    Google Scholar 

  • Johnson L. B., Richards C. R., Host G. E. and Arthur J. W. (1997). Landscape influences on water chemistry in midwestern stream ecosystems. Freshwater Biology 37: 193–208

    Article  CAS  Google Scholar 

  • Kruskal J. B. (1964). Nonmetric multidimensional scaling: a numerical method. Psychometrika 29: 115–129

    Article  Google Scholar 

  • Legendre P. and Legendre L. (1998). Numerical Ecology. Elsevier, New York

    Google Scholar 

  • Lenat D. R. (1993). A biotic index for the southeastern United States: derivation and list of tolerance values, with criteria for assigning water-quality ratings. Journal of the North American Benthological Society 12(3): 279–290

    Article  Google Scholar 

  • Ludwig J. A. and Reynolds J. F. (1988). Statistical Ecology: A Primer on Methods and Computing. John Wiley & Sons, New York

    Google Scholar 

  • McCune B. and Grace J. B. (2002). Analysis of Ecological Communities. MJM Software Design, Gleneden Beach, Oregon

    Google Scholar 

  • McCune B. and Mefford M. J. (1999). PC-ORD. Multivariate Analysis of Ecological Data, Version 4. MJM Software Design, Gleneden Beach, Oregon, USA

    Google Scholar 

  • MDEQ. (1997). Mississippi Land Cover Project. Prepared by the Space Remote Sensing Center. Stennis Space Center. Stoneville, MS. Mississippi Department of Environmental Quality, Jackson, Mississippi, USA

    Google Scholar 

  • MDEQ, 2001. Quality Assurance Project Plan for 303(d) List Assessment and Calibration of the Index of Biological Integrity for Wadeable Streams in Mississippi. February 15, 2001. Prepared by Tetra Tech, Inc. (Owings Mills, Maryland, USA) for the Mississippi Department of Environmental Quality, Jackson, Mississippi, USA

  • MDEQ, 2003. Development and Application of the Mississippi Benthic Index of Stream Quality (M-BISQ). June 30, 2003. Prepared by Tetra Tech, Inc. (Owings Mills, Maryland, USA) for the Mississippi Department of Environmental Quality, Jackson, Mississippi, USA

  • Relyea C. D., G. W. Minshall, & R. J. Danehy, 2000. Steam insects as bioindicators of fine sediment. In Proceedings of the Watershed 2000, Water Environment Federation Specialty Conference. Vancouver, British Columbia, Canada

  • Richards C. and Host G. (1994). Examining land use influences on stream habitats and macroinvertebrates: a GIS approach. Journal of the American Water Resources Association 30: 729–738

    Google Scholar 

  • Rosgen D. L. (1996). Applied River Morphology. Wildland Hydrology. Pagosa Springs, Colorado

    Google Scholar 

  • Roth N. E., Allan J. D. and Erickson D. L. (1996). Landscape influences on stream biotic integrity assessed at multiple spatial scales. Landscape Ecology 11: 141–156

    Article  Google Scholar 

  • Rothrock J. A., Barten P. K. and Ingman G. L. (1998). Land use and aquatic biointegrity in the Blackfoot River watershed, Montana. Journal of the American Water Resources Association 34: 565–581

    Google Scholar 

  • Stewart J. S., Wang L., Lyons J., Horwatich J. A. and Bannerman R. (2001). Influences of watershed, riparian-corridor, and reach-scale characteristics on aquatic biota in agricultural watersheds. Journal of the American Water Resources Association 37: 1475–1487

    Google Scholar 

  • Sutherland A. B., Meyer J. L. and Gardiner E.P (2002). Effects of land cover on sediment regime and fish assemblage structure in four southern Appalachian streams. Freshwater Biology 47: 1791–1805

    Article  Google Scholar 

  • Wang L., Lyons J., Kanehl P. and Gatti R. (1997). Influences of watershed land use on habitat quality and biotic integrity in Wisconsin streams. Fisheries 22: 6–12

    Article  Google Scholar 

  • Waters T. F. (1995). Sediment in Streams: Sources, Biological Effects and Control. American Fisheries Society Monograph 7. American Fisheries Society, Bethesda, Maryland

    Google Scholar 

  • Winget, R. N., & F. A. Mangum, 1979. Biotic condition index-Integrated biological, physical, and chemical stream parameters for management: Ogden Utah. U.S. Forest Service, Intermountain Region. 50 p

  • Zweig L. D. and Rabeni C. F. (2001). Biomonitoring for deposited sediment using benthic invertebrates: a test on 4 Missouri streams. Journal of the North American Benthological Society 20: 643–657

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to David W. Bressler.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bressler, D.W., Stribling, J.B., Paul, M.J. et al. Stressor tolerance values for benthic macroinvertebrates in Mississippi. Hydrobiologia 573, 155–172 (2006). https://doi.org/10.1007/s10750-006-0266-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10750-006-0266-1

Keywords

Navigation