Mason Johnson, Katherine Clancy^*

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College of Natural Resources, University of Wisconsin at Stevens Point, Stevens Point, USA.
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Abstract: Nested hierarchy theory advances the idea that rivers have a fractal dimension where processes at the catchment scale (>1 km) control processes at the reach or mesoscale (100 m) and microscale (1 - 10 m). Largely absent from this work is a mesoscale link to the larger and smaller scales. We used stream alteration classifications to provide this link. We used orthophotographs, land cover, and LiDAR derived terrain models to classify stream alterations within four watersheds. We compared phosphorus point data with watershed, sub-watershed, and 100-meter buffers around the point data. In the predominately urban watershed, the 100 m buffer scale correlated better with phosphorus levels. In the predominately agricultural watershed, the sub-watershed scale correlated with phosphorus levels better. We found adding the classification of the stream alteration type clarified anomalously low phosphorus levels.

Keywords: Nested Hierarchy Theory, Altered Waterways, Landuse, Water Quality

Cite this paper: Johnson, M. and Clancy, K. (2016) Linking Watershed Scales through Altered Waterways. Journal of Water Resource and Protection, 8, 885-904. doi: 10.4236/jwarp.2016.810073.

References

[1]   Frissel, C.A., Liss, W.J., Warren, C.E. and Hurley, M.D. (1986) A Hierarchical Framework for Stream Habitat Classification: Viewing Streams in a Watershed Context. Environmental Management, 12, 199-214.
http://dx.doi.org/10.1007/BF01867358

[2]   Leopold, L.B., Wolman, M.G. and Miller, J.P. (1964) Fluvial Processes in Geomorphology. W.H. Freeman, San Francisco.

[3]   Fausch, K.D., Torgersen, C.E., Baxter, C.V. and Li, H.W. (2002) Landscapes to Riverscapes: Bridging the Gap between Research and Conservation of Stream Fishes. Bioscience, 52, 483-498.
http://dx.doi.org/10.1641/0006-3568(2002)052[0483:LTRBTG]2.0.CO;2

[4]   Roth, N.E., Allan, J.D. and Ericson, D.L. (1996) Landscape Influences on Stream Biotic Integrity Assessed at Multiple Spatial Scales. Landscape Ecology, 11, 141-156.
http://dx.doi.org/10.1007/BF02447513

[5]   Allan, J.D., Ericson, D.L. and Fay, J. (1997) The Influence of Catchment Landuse on Stream Integrity across Multiple Spatial Scales. Freshwater Biology, 37, 149-161.
http://dx.doi.org/10.1046/j.1365-2427.1997.d01-546.x

[6]   Forman, T. and Deblinger, R. (2000) The Ecological Road-Effect Zone of a Massachusetts (USA) Suburban Highway. Conservation Biology, 14, 36-46.
http://dx.doi.org/10.1046/j.1523-1739.2000.99088.x

[7]   Wang, L., Lyons, J., Rasmussen, P., Seelback, P., et al. (2003) Watershed Reach, and Riparian Influences on Stream Fish Assemblages in the Northern Lakes and Forest Ecoregion, USA. Canadian Journal of Fisheries and Aquatic Sciences, 60, 491-505.
http://dx.doi.org/10.1139/f03-043

[8]   Crenshaw, C.L., Grimm, N.B., Zeglin, L.H., Sheibley, R.W., Dahm, C.N. and Pershall, A.D. (2010) Dissolved Inorganic Nitrogen Dynamics in the Hyporheic Zone of Reference and Human-Altered Southwest US Streams. Fundamental and Applied Limnology/Archiv für Hydrobiologie, 176, 391-405.
http://dx.doi.org/10.1127/1863-9135/2010/0176-0391

[9]   Zavadil, E. and Stewardson, M. (2013) The Role of Geomorphology and Hydrology in Determining Spatial-Scale Units for Ecohydraulics. In: Ian, M., Atle, H., Paul, K. and Paul, W., Eds., Ecohydraulics: An Integrated Approach, Chapter 7, John Wiley and Sons, Hoboken, 125-142.

[10]   Richards, C., Johnson, L.B. and Host, G.E. (1996) Landscape-Scale Influences on Stream Habitats and Biota. Canadian Journal of Fisheries and Aquatic Sciences, 53, 295-311.
http://dx.doi.org/10.1139/f96-006

[11]   Brazner, A. (2005) Impacts of Human Disturbances on Biotic Communities in Hawaiian Streams. Bioscience, 53, 1052-1060.

[12]   Esselman, P. and Allan, J.D. (2010) Relative Influenzzces of Catchment- and Site-Scale Abiotic Factors on Fresh. Water Fish Communities in Rivers of Northeastern Mesoamerica. Ecology of Freshwater Fish, 19, 439-454.
http://dx.doi.org/10.1111/j.1600-0633.2010.00430.x

[13]   Allen, J.D. (2004) Landscapes and Riverscapes: The Influence of Landuse on Stream Ecosystems. Annual Review of Ecology and Systematics, 35, 257-284.
http://dx.doi.org/10.1146/annurev.ecolsys.35.120202.110122

[14]   WDNR (Wisconsin Department of Natural Resources) (2011) Total Maximum Daily Loads for Total Phosphorus and Total Suspended Solids in the Rock River Basin. 215 p.
http://dnr.wi.gov/topic/TMDLs/RockRiver/FinalRockRiverTMDLReportWithTables.pdf

[15]   WDNR (Wisconsin Department of Natural Resources) (2002) Water Details-Stevens Creek, Bass Creek Watershed (LR03).
http://dnr.wi.gov/water/waterDetail.aspx?key=11632

[16]   WDNR (Wisconsin Department of Natural Resources) (2007) 24K SHAID (Simple Hydro Areas) Version 6. GIS Vector Data.
http://dnr.wi.gov/maps/gis/datahydro.html

[17]   USDA (US Department of Agriculture) (2007) WBD (Watershed Boundary Dataset) 2007. GIS Vector Data.
http://nhd.usgs.gov/data.html

[18]   Wisconsin View (2011) LiDAR (Light Detection and Ranging), Digital Elevation Model Raster.
http://www.wisconsinview.org/

[19]   Wisconsin View (2013) NAIP (National Agricultural Imaging Program), Imagery. Raster Digital Data.
http://www.wisconsinview.org/

[20]   WHAIF (Wisconsin Historic Aerial Imagery Finder) (2010) Historic 1938 Aerial Imagery. Raster Digital Data.
http://maps.sco.wisc.edu/WHAIFinder/

[21]   USFWS (US Fish and Wildlife Service) (2015) NWI (National Wetland Inventory). GIS Vector Data.
http://www.fws.gov/wetlands/Data/Mapper.html

[22]   USGS (US Geological Survey) (2011) NLCD (National Land Cover Database) 2011 Land Cover. SDE Raster Digital Data.
http://www.mrlc.gov/nlcd2011.php

[23]   USDA (US Department of Agriculture) (2014) NASS (National Agricultural Statistics Service) CDL (2014 Cropland Data Layer) SDE Raster Digital Data.
http://www.nass.usda.gov/Statistics_by_State/Wisconsin/

[24]   WDOT (Wisconsin Department of Transportation) (2003) WISLR (Wisconsin Information System for Local Roads) Transportation Lines. GIS Vector Data.
http://wisconsindot.gov/Pages/doing-bus/local-gov/wislr/default.aspx

[25]   MnGeO (Minnesota Geospatial Information Office) (2011) Altered Watercourse Determination Methodology. 55 p.
http://www.pca.state.mn.us/index.php/water/water-types-and-programs/surface-water/
streams-and-rivers/minnesota-statewide-altered-watercourse-project.html

[26]   Smith, C.E. (1998) Modeling High Sinuosity Meanders in a Small Flume. Geomorphology, 25, 19-30.
http://dx.doi.org/10.1016/S0169-555X(98)00029-4

[27]   Diebel, M.W., Ruesch A.S., Menuz, D., Stewart, J. and Westenbroek, S.M. (2015) Ecological Limits of Hydrologic Alteration in Wisconsin Streams. Wisconsin Groundwater Management Practice Monitoring Project, [DNR-209-Revised], 70 p.

[28]   Kendall, M.G. (1975) Rank Correlation Methods. 4th Edition, Charles Griffin, London.

[29]   Helsel, D. and Hirsch R. (2002) Statistical Methods in Water Resources. US Geological Survey, Techniques of Water-Resources Investigations Book 4, Chapter A3, 522 p.

[30]   Wang, G., Yinglan, A., Xu, Z., and Zhang S. (2014) The Influence of Landuse Patterns on Water Quality at Multiple Spatial Scales in a River System. Hydrological Processes, 28, 5259-5272.
http://dx.doi.org/10.1002/hyp.10017

[31]   Sliva, L. and Williams, D. (2001) Buffer Zone versus Whole Catchment Approaches to Studying Landuse Impact on River Water Quality. Water Research, 35, 3462-3472.
http://dx.doi.org/10.1016/S0043-1354(01)00062-8