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7/14/2009 5:01:47 PM
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UCREFRP
UCREFRP Catalog Number
8195
Author
Richter, B. D., J. V. Baumgartner, J. Powell and D. Braun
Title
A Method for Assessing Hydrologic Alteration within Ecosytems
USFW Year
1996
USFW - Doc Type
Conservation Biology
Copyright Material
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1172 Issessin", llydrokwic.Illeallion <br />hand, is much shorter in the post-dam period. This is a <br />byproduct of hydropower generation, wherein water is <br />stored in the reservoir until sufficient head is attained to <br />generate power efficiently, at which time it is rapidly re- <br />leased through the dam turbines. The effect on the hy- <br />drologic regime is to create a greater frequency of high <br />and low pulses of lesser duration (Group 4: frequency <br />and duration of high and low pulses) and also to in- <br />crease the number of hydrograph rises and falls (Group <br />5: rate and frequency of change in water conditions). <br />The magnitude and timing of the annual minima have <br />changed, with a shift from higher fall season to lower <br />mid-winter annual lows (Fig. 6). This probably results <br />from attempts to capture winter flows for later spring <br />and summer use in hydropower generation. <br />Surprisingly, the average hydrograph rise rate (Group <br />5: rate and frequency of change, Fig. 7) for the Roanoke <br />is reduced from the pre-dam period. Typically, areas <br />downstream of hydropower dams experience steeper <br />hydrograph rises because of the rapid release of water <br />from the reservoir during peaking power generation. <br />The apparent reduction in rise rates on the Roanoke is <br />probably due to the fact that flow releases seldom ex- <br />ceed 566 cros (20,000 efs), which corresponds to tur- <br />bine capacity limits. In the pre-dam period, flows com- <br />monly rose more than 1132 cros (40,000 cfs) in a single <br />day during rainstorms. <br />Changes in the variability of the 32 IHA parameters are <br />also evident (Table 2; Figs. 4-7). In general, variability <br />has been reduced in summer and winter monthly means, <br />in extremely low water conditions, in timing of the an- <br />nual highs and lows, in high and low pulse durations, <br />and in frequency and rate of hydrograph rises and falls. <br />On the other hand, coefficients of variation increased <br />for springtime monthly means and long duration (e.g., <br />30- and 90-day), high flow magnitudes. <br />Dam-related alterations to the Roanoke flow regime <br />have been blamed for the ,drastic reduction of striped <br />bass populations,(Zincone & Rulifson 1991). Higher av- <br />erage streamflows in the spring months (May June) have <br />been associated with less successful rates of juvenile <br />bass recruitment. Aquatic invertebrates inhabiting the <br />littoral zone along the river's edge may be severely af- <br />fected by the greater frequency of hydrograph pulses, <br />rises, and falls. Rapidly reversing cycles of wetting and <br />drying have been shown to decimate littoral-zone <br />benthic fauna unable to migrate with the shifting river <br />edge (Armitage 1984; Walker et al. 1992; Moog 1993). <br />Such losses of benthic fauna may be substantially reduc- <br />ing the availability of prey for the Roanoke's fishes. <br />Altered flood patterns may lead to significant alter- <br />ations in the composition and structure of the Roanoke's <br />bottomland hardwood forest by changing the.magnitude <br />and duration of floods (Lea 1991; Richter 1993). This <br />forest has been heralded as being the "highest quality <br />and most extensive" bottomland hardwood forest on the <br />Ricblcr el III <br />southeastern coastal plain (Lynch 1991). The different <br />plant species and floodplain forest communities along <br />the Roanoke are thought to be distributed along a gradi- <br />ent of inundation duration (or anoxic stress). With the <br />elimination of high-magnitude flooding, higher flood- <br />plain surfaces are now seldom if ever inundated, en- <br />abling less flood tolerant species to become established <br />on lower sites, and thus lowering overall vegetation di- <br />versity. Changes in the forest could also have serious im- <br />plications for Neotropical migratory birds using this area <br />(Zeller 1993)• <br />Using the IRA Method <br />During development of the IRA method, a longer list of <br />statistical parameters was consolidated to minimize the <br />number of computations and to reduce redundancy; at <br />the same time we retained as much sensitivity to differ- <br />ent forms of hydrologic alteration as possible. The 32 <br />IRA parameters appear to be robust in-their ability to <br />quantitatively describe alterations peculiar to specific <br />human influences such as flood control. We also consid- <br />ered aggregating the results across each of the five groups <br />of hydrologic characteristics. Users must bear in mind, <br />however, the risk of losing information when relative <br />differences are averaged across parameters within IHA <br />groups (Suter 1993). We strongly recommend that IHA <br />results be presented in the full scorecard format as shown <br />in Table 2 to retain information about the specific hydro- <br />logic alterations associated with the perturbation under <br />investigation. Reporting the full suite of hydrologic parame- <br />ters also enables investigators to explore relationships be- <br />tween individual parameters and biotic responses. <br />This caution about lumping hydrologic parameters <br />into IRA groups and averaging results within groups <br />should not inhibit exploration of the relationship be- <br />tween overall group averages and specific types of hu- <br />man influences such as reservoir operations, groundwa- <br />ter pumping, timber harvest, or urbanization. Such <br />integrative analysis is urgently needed to enable ecosys- <br />tem managers to better assess or anticipate the effects of <br />certain land and water uses. The sensitivity and robust- <br />ness of individual IRA parameters and IHA groups to a <br />wide range of human influences in different ecoregional <br />settings remains to be tested. <br />The U.S. Clean Water Act Amendments of 1972 (PL <br />92-500) called for the restoration and maintenance of <br />the "chemical, physical, and biological integrity of the <br />nation's waters." Increased use of analytical methods <br />such as the IRA will demonstrate how far we have to go <br />toward restoring the physical integrity of U.S. rivers, <br />lakes, and aquifers. We anticipate that the IHA method <br />will be used in conjunction with other ecosystem met- <br />rics that evaluate more directly the biological conditions <br />and ecological degradation within an ecosystem, such as <br />Conservation Biology <br />Volume 10, No. 4. August 19%
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