Describing scales of features in river channels using fractal geometry concepts

Quantitative description of spatial patterns is often at the heart of ecological research in aquatic systems, particularly for investigations of how biota respond to physical habitat. A common first step for approximating a river channel is tessellation, or the discretization of the channel into cells of approximately uniform size, and assigning each cell a representative value for velocity or other characteristics. More innovative methods may use the fractal dimension to characterize patterns of features in spatially complex geological structures, such as channel bed forms. Unfortunately, these methods lose information because they either force continuous data into a grid framework or assume that complexity is constant over a range of scales. The current understanding of aquatic processes would improve if information about the scale of channel features could be preserved throughout the analysis instead of being discarded in the first step because simplifying assumptions were used. New methods are presented that characterize complex spatial data sets with minimal use of assumptions or simplifying approximations. The new methods identify dominant features in a set of coordinate data, locate the positions of such features in the cross section, describe how kinetic energy is distributed in these features, and quantify how features of different scales relate to one another. The effectiveness of this technique on mathematical constructs having known characteristics is demonstrated. The methods are then used to describe a Missouri River cross section before and after river regulation to illustrate how the methods can be used to quantify changes in physical habitat patterns that may not be apparent using other methods. Improved description of complex shapes in aquatic environments may lead to increased understanding of aquatic processes in general, and in particular, the way aquatic organisms relate to physical habitat. Copyright © 2000 John Wiley & Sons, Ltd.

[1]  B. Mandelbrot How Long Is the Coast of Britain? Statistical Self-Similarity and Fractional Dimension , 1967, Science.

[2]  Robert Andrle,et al.  The angle measure technique: A new method for characterizing the complexity of geomorphic lines , 1994 .

[3]  E. Foufoula‐Georgiou,et al.  Experimental evidence of dynamic scaling and indications of self‐organized criticality in braided rivers , 1997 .

[4]  Murugesu Sivapalan,et al.  Scale issues in hydrological modelling: A review , 1995 .

[5]  D. Pont,et al.  Multi-scale approach to species–habitat relationships: juvenile fish in a large river section , 1996 .

[6]  C. S. Holling Cross-Scale Morphology, Geometry, and Dynamics of Ecosystems , 1992 .

[7]  Vladimir Nikora,et al.  On Channel Network Fractal Properties: A Case of Study of the Hutt River Basin, New Zealand , 1996 .

[8]  Peter N. Johnson,et al.  Physical Habitat Analysis Using the Riverine Community Habitat Assessment and Restoration Concept (RCHARC): Missouri River Case History. , 1995 .

[9]  Peter Turchin,et al.  Fractal Analyses of Animal Movement: A Critique , 1996 .

[10]  Susanne Muhar,et al.  HABITAT IMPROVEMENT OF AUSTRIAN RIVERS WITH REGARD TO DIFFERENT SCALES , 1996 .

[11]  J. Allan,et al.  Functional Organization of Stream Fish Assemblages in Relation to Hydrological Variability , 1995 .

[12]  F. Rahel,et al.  The Hierarchical Nature of Community Persistence: A Problem of Scale , 1990, The American Naturalist.

[13]  C. Richards,et al.  Considerations of scale in habitat conservation and restoration , 1996 .

[14]  E. Foufoula‐Georgiou,et al.  Self‐Affinity in Braided Rivers , 1996 .

[15]  S. Levin The problem of pattern and scale in ecology , 1992 .

[16]  Benoit B. Mandelbrot,et al.  Fractal Geometry of Nature , 1984 .

[17]  Robert Andrle,et al.  Complexity and scale in geomorphology: Statistical self-similarity vs. characteristic scales , 1996 .

[18]  P. Angermeier,et al.  Distribution and Abundance of American Eels in Virginia Streams: Tests of Null Models across Spatial Scales , 1995 .

[19]  David C. Schneider,et al.  NEW TECHNIQUE DESCRIBING SPATIAL SCALING AND HABITAT SELECTION IN RIVERINE HABITATS , 1998 .

[20]  J. Kolasa,et al.  Ecological Systems in Hierarchical Perspecitive: Breaks in Community Structure and Other Consequences , 1989 .