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Improving lake riparian source area management using surface and subsurface runoff indices

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Abstract

Sensitivity indices, which rank factors pertinent to surface and subsurface runoff pathways, were used to identify phosphorus source areas in riparian zones of 15 northern Minnesota lakes. Watershed models were first developed using a geographic information system (GIS). Empirical models were then developed correlating water quality with land use, lake morphometry, and riparian sensitivity. Base models of forested, cultivated, pasture/open, wetland and residential land use within 100, 200, 400, and 2000 m of the study lakes were regressed on total phosphorus and chlorophyll-a. Area-weighted groundwater and surface runoff sensitivity indices were then incorporated into each model and tested for significance. Within the 200-m buffer, the total phosphorus base model was improved by including the groundwater index alone. The chlorophyll-a base model at 200 m was improved by including: (1) the groundwater index alone, and (2) both the groundwater and surface runoff sensitivity indices. Results suggest that surface and subsurface runoff analysis of potential source areas can improve decision making for lake riparian management.

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Literature Cited

  • Analytical Software. 1992. Statistix version 4.0. St. Paul, Minnesota.

  • Beltrami County. 1991. Board of Soil and Water Resources (BWSR) challenge grant application for a proposal to accelerate water plan implementation in Beltrami, Clearwater and Hubbard counties through the development and use of GIS. Bemidji, Minnesota.

  • Born, S. M., S. A. Smith, and D. A. Stephenson. 1979. Hydrogeology of glacial-terrain lakes, with management and planning applications.Journal of Hydrology 43:7–43.

    Article  Google Scholar 

  • Canter, L. W., and R. C. Knox. 1985b. Pages 103–180in Canter, L.W. (ed)., Septic tank system effects on ground water quality. Lewis Publishers, Chelsea, Michigan.

    Google Scholar 

  • Coote, D. R., E. M. MacDonald, and R. DeHaan. 1979. Relationships between agricultural land and water quality. Pages 79–92in R. C. Loehr, D. A. Haith, M. F. Walter, and C. S. Martin (eds.), Best management practices for agriculture and silviculture. Proceedings of the 1978 Cornell agricultural waste management conference, Book 4. Ann Arbor Science Publishing, Ann Arbor, Michigan.

    Google Scholar 

  • Dillon, P. J., and F. H. Rigler. 1974. The phosphorus-chlorophyll relationship in lakes.Limnology and Oceanography 19:767–773.

    Article  CAS  Google Scholar 

  • ESRI (Environmental Systems Research Institute). 1990. ARC/INFO geographic information systems software. Redlands, California, USA.

  • Fandrei, G., S. Heiskary, and S. McCollar. 1988. Descriptive characteristics of the seven ecoregions in Minnesota. Minnesota Pollution Control Agency, Division of Water Quality, Program Development Section, St. Paul, Minnesota.

    Google Scholar 

  • Fetter, C. W. 1988. Applied hydrogeology, 2 ed. Merrill Publishing, Columbus, Ohio.

    Google Scholar 

  • Fitzsimmons, C.K., M.J. Hewitt, and F. Mynar. 1988. Hazard ranking: a job for geographic information systems. Pages 381–385in HWHM 88: Hazardous Wastes and Hazardous Materials. Proceedings of the 5th National Conference held April 19–21, 1988. Environmental Research Center, Las Vegas, Nevada, USA.

    Google Scholar 

  • Fuller, W. H. 1986. Site selection fundamentals for land treatment. Pages 87–99in R. C. Loehr and J. F. Malina (eds.), Land treatment: A hazardous waste management alternative. Water resources symposium No. 13. Center for Research in Water Resources, Bureau of Engineering Research, University of Texas, Austin, Texas.

    Google Scholar 

  • Geier, T. W., and J. A. Perry. 1992. Guide to ground water sensitivity rating techniques. Water Resources Research Center, Special report #22. St. Paul, Minnesota.

  • Gilliland, M. W., and W. Baxter-Potter. 1987. A geographic information system to predict nonpoint source pollution potential.Water Resources Bulletin 23:281–291.

    CAS  Google Scholar 

  • Hamlett, J. M., and G. W. Petersen. 1992. Geographic information systems for nonpoint pollution ranking of watersheds.Water Resources 87:21–25.

    Google Scholar 

  • Harris, K. L., 1975. Pleistocene geology of the Grand Forks-Bemidji area, northwestern Minnesota. Unpublished doctoral dissertation. University of North Dakota, Grand Forks, North Dakota.

    Google Scholar 

  • Heiskary, S. A., and C. B. Wilson. 1989. The regional nature of lake water quality across Minnesota: An analysis for improving resource management.Journal of the Minnesota Academy of Science 55(1):71–77.

    Google Scholar 

  • Heiskary, S., and C. Wilson. 1990. Minnesota lake water quality assessment report: A practical guide for lake managers, 2nd ed. Minnesota Pollution Control Agency, Division of Water Quality, Program Development Section, St. Paul, Minnesota.

    Google Scholar 

  • HRDC and BSWCD (Headwaters Regional Development Commission and Beltrami County Soil and Water Conservation District). 1989a. Beltrami County water resource plan. Bemidji, Minnesota.

  • HRDC and BSWCD (Headwaters Regional Development Commission and Beltrami County Soil and Water Conservation District). 1989b. Beltrami County's water resources: A plan for action, a summary of Beltrami County's comprehensive local water resource plan. Bemidji, Minnesota.

  • Hopkins, R. B., and J. C. Clausen. 1985. Land use monitoring and assessment for nonpoint source pollution control. Pages 25–29in Perspectives on nonpoint source pollution. US Environmental Protection Agency, Washington DC. EPA 440/5 85-001.

    Google Scholar 

  • Johnston, C. A., N. E. Detenbeck, J. P. Bonde, and G. J. Niemi. 1988. Geographic information systems for cumulative impact assessment.Photogrammetric Engineering and Remote Sensing 54:1609–1615.

    Google Scholar 

  • Johnston, C. A., N. E. Detenbeck, and G. J. Niemi. 1990. The cumulative effect of wetlands on stream water quality and quantity. A landscape approach.Biogeochemistry 10:105–141.

    Article  Google Scholar 

  • LMIC (Land Management Information Center). 1990. Environmental planning and programming language, version 7 (EPPL7). State of Minnesota, Department of Administration, Land Management Information Center, St. Paul, Minnesota.

    Google Scholar 

  • LeGrand, H. E. 1983. A standardized system for evaluating waste-disposal sites, 2nd ed. National Water Well Association, Worthington, Ohio.

    Google Scholar 

  • Lemme, G., C. G. Carlson, R. Dean, and B. Khakural. 1990. Contamination vulnerability indexes: A water quality planning tool.Journal of Soil and Water Conservation 45:349–351.

    Google Scholar 

  • Lystrom, D. J., F. A. Rinella, D. A. Rickert, and L. Zimmermann. 1978. Multiple regression modeling approach for regional water quality management. Environmental Research Laboratory, US Environmental Protection Agency, Athens, Georgia. EPA-600/7-78-198.

    Google Scholar 

  • MIDNR (Michigan Department of Natural Resources). 1973. Pages 1–35in Nutrient movement from septic tanks and lawn fertilization: Water quality protection project Houghton Lake, Michigan. Bureau of Water Management. Lansing, Michigan. Tech. Bull. 73-5.

    Google Scholar 

  • Mitsch, W. J., and J. G. Gosselink. 1986. Wetlands. Van Nostrand Reinhold, New York.

    Google Scholar 

  • MNDNR (Minnesota Department of Natural Resources). 1968. Pages 45–51in Bulletin 25: An Inventory of Minnesota Lakes. Minnesota Conservation Department, Division of Waters, Soils and Minerals, St. Paul, Minnesota.

    Google Scholar 

  • MNDNR (Minnesota Department of Natural Resources). 1991a. Beltrami County level 1—preliminary geologic sensitivity assessment. Minnesota Department of Natural Resources, Division of Waters, St. Paul, Minnesota.

    Google Scholar 

  • MNDNR (Minnesota Department of Natural Resources). 1991b. Criteria and guidelines for assessing geologic sensitivity of ground water resources in Minnesota. Minnesota Department of Natural Resources, Division of Waters, St. Paul, Minnesota.

    Google Scholar 

  • MNSPA (Minnesota State Planning Agency). 1989. Data dictionary: 40-acre and 100-meter data EPPL6/prime computer format. State Planning Agency, Land Management Information Center, St. Paul, Minnesota.

    Google Scholar 

  • Moore, I. D., and J. L. Nieber. 1989. Landscape assessment of soil erosion and nonpoint source pollution.Journal of the Minnesota Academy of Science 55:18–25.

    Google Scholar 

  • Omernik, J. M. 1987. Ecoregions of the conterminous United States.Annals of the American Association of Geographers 77(1):118–125.

    Article  Google Scholar 

  • Osborne, L. L., and M. J. Wiley. 1988. Empirical relationships between land use/cover and stream water quality in an agricultural watershed.Journal of Environmental Management 26:9–27.

    Google Scholar 

  • Pelletier, R. E. 1985. Evaluating nonpoint pollution using remotely sensed data in soil erosion models.Journal of Soil and Water Conservation 40:332–335.

    Google Scholar 

  • PLUARG (Pollution from Land Use Activities Reference Group). 1978. Environmental management strategy for the Great Lakes system. Final report, pollution from land use activities reference group to the international joint commission, Great Lakes Regional Office, Windsor, Ontario, Canada.

    Google Scholar 

  • Reckhow, K. H., and J. T. Simpson. 1980. A procedure using modeling and error analysis for the prediction of lake phosphorus concentration from land use information.Canadian Journal of Fisheries and Aquatic Sciences 37:1439–1448.

    Article  CAS  Google Scholar 

  • Ryding, S. O., and W. Rast. 1989. The control of eutrophication of lakes and reservoirs. Man and the biosphere series, volume 1. Parthenon Publishing, Park Ridge, New Jersey.

    Google Scholar 

  • Sacks, L. A., J. S. Herman, L. F. Konikow, and A. L. Vela. 1992. Seasonal dynamics of groundwater-lake interactions at Donana National Park, Spain.Journal of Hydrology 136:123–154.

    Article  CAS  Google Scholar 

  • Schindler, D. W. 1971. A hypothesis to explain differences and similarities among lakes in the experimental lakes area, northwestern Ontario.Journal of Fisheries Research Board of Canada 28:295–301.

    Google Scholar 

  • Sivertun, A., L. E. Reinelt, and R. Castensson. 1988. A GIS method to aid in non-point source critical area analysis.International Journal of Geographic Information Systems 2:365–378.

    Google Scholar 

  • Spurr, S. H., and B. V. Barnes. 1980. Forest ecology. John Wiley & Sons, New York.

    Google Scholar 

  • Stark, J. R., J. P. Busch, and M. H. Deters. 1991. Hydrogeology and water quality of the glacial-drift aquifers in the Bemidji-Bagley area, Beltrami, Clearwater, Cass, and Hubbard counties, Minnesota. US Geological Survey, St. Paul, Minnestoa. Water-Resources Investigations Report 89-4136.

    Google Scholar 

  • Troelstrup, N. H., Jr., and J. A. Perry. 1989. Water quality in Southeastern Minnesota streams: Observations along a gradient of land use and geology.Journal of the Minnesota Academy of Science 55:6–12.

    Google Scholar 

  • Trojan, M. D., and J. A. Perry. 1988. Assessing hydrogeologic risk over large geographic areas. Minnesota Agricultural Experiment Station, University of Minnesota, St. Paul, Minnesota. Station Bulletin 585-1988 (Item No. AD-SB-3421).

    Google Scholar 

  • Walsh, S. J. 1985. Geographic information systems for natural resource management. Pages 202–205in Perspectives on nonpoint source pollution. US Environmental Protection Agency, Office of Water Regulation and Standards, Washington, DC. 8 EPA 440/5 85-001.

    Google Scholar 

  • Weisberg, S. 1985. Applied linear regression, 2nd ed. John Wiley & Sons, New York.

    Google Scholar 

  • Wetzel, R. G. 1983. Limnology, 2nd ed. Saunders College Publishing, Philadelphia, Pennsylvania.

    Google Scholar 

  • Whittemore, D.O., J.W. Merchant, J. Whistler, C.E. McElwee, and J.J. Woods. 1987. Ground water protection planning using the ERDAS geographic information system: automation of DRASTIC and time-related capture zones. Pages 359–374in Proccedings of the NWWA FOCUS Conference on Midwestern Ground Water Issues. National Well Water Association, Dublin, Ohio, USA.

    Google Scholar 

  • Wischmeier, W. H. 1975. Estimating the soil loss equation's cover and management factor for undisturbed Areas. Pages 118–124in Present and Prospective Technology for Predicting Sediment Yields and Sources. Agricultural Research Service, Washington, D.C. Agricultural Research Service Publication ARS-S-40.

    Google Scholar 

  • Wischmeier, W. H., and D. D. Smith. 1958. Rainfall energy and its relationship to soil loss.Transactions, American Geophysical Union 39:285–291.

    Google Scholar 

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  1. Department of Forest Resources, University of Minnesota, 55108, St. Paul, Minnesota, USA

    Theodore W. Geier, James A. Perry & Lloyd Queen

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  1. Theodore W. Geier
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  2. James A. Perry
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  3. Lloyd Queen
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Geier, T.W., Perry, J.A. & Queen, L. Improving lake riparian source area management using surface and subsurface runoff indices. Environmental Management 18, 569–586 (1994). https://doi.org/10.1007/BF02400860

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