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<br />FLUCTUATING FLOWS AND BACKWATER HABITATS
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<br />1141
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<br />orientation to the mainstem results in their becoming flow-through habitats at relatively high base flows (Rakowski
<br />and Schmidt, 1997) may be affected more by flow fluctuations than the backwaters considered here. However, such
<br />flow-through backwaters are relatively uncommon in our study area,
<br />In order to predict the effects of river management on endangered fishes, it is necessary to first predict the effects
<br />offlow on fish habitat (Petts, 1991; Osmundson et at" 2002), Typically, such predictions are made by creating a
<br />model of the physical habitat and determining how the availability of suitable fish habitat varies with stream flow
<br />(e.g, IFIMlPHABSIM; Bovee et at., 1998), While such habitat suitability models and their extensions have been
<br />used with varied success on cold-water stream fishes, they are inappropriate for warm-water fishes that move over
<br />large areas and are more likely to be limited by competition and food availability than by availability of habitat area
<br />(Railsback, 1999; Railsback et a!., 2003),
<br />As part of an em-going project to predict the effects of within-day flow fluctuations on the growth and survival of
<br />endangered juvenile Colorado pikeminnow in the Green River, Vtah, we developed a model of the backwater
<br />habitats preferred by these fish. Our model combines a cell-based representation of how backwater geometry and
<br />mixing with the mainstem depend on flow, a pond-based temperature model and a model of invertebrate production,
<br />Although relatively simple, our model makes several testable predictions about the effects of flow fluctuations on
<br />backwater geometry, temperature and invertebrate availability. Specifically, our model predicts that as within-day
<br />flow fluctuations increase, minimum daily wetted areas will shrink., summer and fall backwater temperatures will
<br />tend to decline, and densities of invertebrates available for consumption by fish may be reduced. Depending on the
<br />magnitude of the effect, such responses could affect fish growth and survival.
<br />As with all models, we have made assumptions and simplifications that may affect the predictions generated, For
<br />example, our model does not allow for the possibility that backwaters may become flow-through habitats at higher
<br />flow. That is, we have assumed that backwaters are connected to the mainstem at only a single point (as is the case
<br />for the backwaters considered here), :.md that water exchange and flushing of invertebrates into the main channel
<br />will occur only in response to the rise and fall of backwater depth relative to mainstem stage. This assumption is
<br />true for (1) the range of fluctuations we modelled and (2) the range of fluctuations typically observed during the
<br />summer and autumn in the Green River study area, More extreme inundation events would likely increase the
<br />proportion of invertebrate production flushed into the main channel and may even result in the complete elimination
<br />of the backwater as a nursery habitat (Rakowski and Schmidt, 1997), Similarly, we have assumed that backwater
<br />morphology remains constant for the duration of the simulation; in reality, flood events (which typicaIIy occur in
<br />the spring, but may also occur later in the year) can transpOlt sediment, changing the topography of backwaters and,
<br />in some cases, resulting in the elimination of existing backwaters and the creation of new ones (Rakowski and
<br />Schmidt, 1997). Finally, we have necessarily simplified our calculations of invertebrate production and availability
<br />by assuming that (1) the entire invertebrate community can be reasonably represented by a single species of benthic
<br />invertebrate, (2) invertebrates produced but not eaten by fish on a given day are unavailable for consumption by fish
<br />on subsequent days and (3) invertebrates can only be flushed out of the backwater, rather than into the backwater
<br />from the mainstem, by fluctuating flows. While making the model more realistic, the addition of any of the above
<br />processes would undoubtedly increase its overaII complexity and potentially reduce our ability to understand any
<br />observed effects on pike minnow growth and survival.
<br />
<br />ACKNO\VLEDGEMENTS
<br />
<br />This research was sponsored by EPRI, Electric Power Research Institute, Inc., under agreement EP-P321S/C1529
<br />with Lang, Railsback & Assoc., and by the Western Area Power Administration. Software SUPPOlt was provided by
<br />Steve Jackson, Jackson Scientific Computing, McKinleyville, California, Argonne National Laboratory's work was
<br />supported by the Western Area Power Administration under interagency agreement, through V,S. Department of
<br />Energy contract W-31-109-Eng-38. We thank the V,S, Fish and Wildlife Service's Colorado River Fish Pr~ject and
<br />the Ouray National Wildlife Refuge for logistical assistance provided during field studies. Special thanks to Gary
<br />Burton, Clark Burbidge and Heather Patno (Western Area Power Administration), and August Deschais for their
<br />assistance in collecting field data.
<br />
<br />CopYlight t'o 2006 John Wiley & Sons, Ltd,
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<br />River Res, Applic. 22: \125-1142 (2006)
<br />DOl: 1 (J,10021rra
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