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8/11/2009 11:32:57 AM
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UCREFRP
UCREFRP Catalog Number
7853
Author
Auble, G. T., J. M. Friedman and M. L. Scott
Title
Relating Riparian Vegetation To Present And Future Streamflows
USFW Year
1994
USFW - Doc Type
Ecological Applications
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<br />August 1994 <br /> <br />FLOW REGIME AND RIPARIAN VEGETATION <br /> <br />551 <br /> <br />detailed autecological data than are available for many <br />riparian species. <br /> <br />t <br /> <br />Inundation duration as the <br />independent variable <br /> <br />Inundation duration, as determined by a flow du- <br />ration curve, is the single environmental variable de- <br />termining vegetation response in our model. The sim- <br />plicity of this approach has both advantages and <br />disadvantages. Many studies in humid regions (e.g., <br />Wells 1928, Teversham and Slaymaker 1976, Teskey <br />and Hinckley 1977, Bedinger 1979, Klimas et al. 1981, <br />Harris et al. 1985, Hupp and Osterkamp 1985) have <br />demonstrated that plant species and communities can <br />be distinctly arrayed along a gradient of inundation <br />duration. This study extends that conclusion to a semi- <br />arid setting (Fig. 6), and we have obtained similar re- <br />sults in two as yet unpublished gradient analyses of <br />riparian vegetation in the Colorado High Plains. Fur- <br />ther studies are needed, particularly of herbaceous spe- <br />cies, to determine whether our conclusions can be gen- <br />eralized to semi-arid and arid regions as a whole. <br />In many of the studies done in humid regions, in- <br />undation duration has been interpreted as a predictor <br />of the degree of anoxia to which roots are exposed. <br />However, in this western riparian application, inun- <br />dation of most of the riparian zone is short-lived and <br />anoxia is less important. Inundation duration succeeds <br />here as a predictor of vegetation distribution because <br />it is correlated with flow-related variation in a suite of <br />environmental variables in the riparian zone. These <br />include shear stress, sediment deposition and erosion, <br />soil moisture, and depth to groundwater, in addition <br />to soil oxygen concentration. For example, sites with <br />a high inundation duration are likely to be closer to <br />groundwater when not flooded, are likely to be inun- <br />dated to greater depths when flooded, and are likely to <br />be subject to greater and more frequent shear stress <br />than sites with a low inundation duration. <br />Nonetheless, the relation of other environmental <br />variables to inundation duration is imperfect. While <br />the error involved in using a single surrogate measure <br /> <br />al 0.8 <br />CDU <br />ECD <br />~~ <br />15;jj 0.6 <br />c.... <br />go <br />~ ~ 0.4 <br />U.lll <br />~ <br />0- <br />CD 0.2 <br /> <br />~ I <br />:\ I <br />.\ <br />: I" <br />: \ <br />". I " <br />.....1 '\ <br />\ \ <br />\. " <br />\ <br />\ <br />\ <br />" <br />" <br />.......-. .. . <br /> <br />- Reference <br />.. ..... Diversion <br />-- Diversion. increased. minimum <br />- - - - Moving. average <br /> <br />0.0 <br />o <br /> <br /> <br />SO 100 <br />Discharge (m3/s) <br />FIG. 7. Flow duration curves for hydrologic alternatives. <br /> <br />TABLE 2. Percentage of bar area occupied by each cover type <br />under hydrologic alternatives. <br /> <br /> Cover types <br />Hydrologic Open Eleo- Equi- Hetero- <br />alternative Water charis setum theca <br />Reference 0 37 53 10 <br />Diversion 2 15 48 35 <br />Diversion-Increased- <br />Minimum 13 6 46 35 <br />Moving-Average 2 33 37 28 <br /> <br />may be acceptable for comparisons within a site, it <br />does limit transferability of information between sites. <br />For example, the position of a species on an inunda- <br />tion-duration gradient determined at a reach with <br />groundwater recharge may be different from the po- <br />sition of the same species determined at a reach with <br />groundwater discharge. <br />Although we judge inundation duration to be the <br />best single independent variable for our purposes, no <br />single variable can capture all the important aspects of <br />water level change in a riparian area (Mitsch and Gos- <br />selink 1986). Alternative parameters may be superior <br />in some situations. Both Hupp and Osterkamp (1985) <br />and Bedinger (1979) arrayed riparian vegetation along <br />a composite variable that combined inundation du- <br />ration and recurrence interval. Recurrence interval can <br />be defined as the average time between inundations <br />for a particular point. The case of a bottomland down- <br />stream of a dam used for power peaking is an example <br />of a situation suited for use of recurrence interval. In <br />this case a point might be inundated for half of each <br />day. It is essential to be able to distinguish such a point <br />from another that is inundated continuously for 182 d <br />and then dry for the next 182 d. Finally, the clear <br />relationship between inundation duration and present <br />vegetation (Table I, Fig. 6) suggests, but does not prove, <br />that anticipated changes in inundation duration can be <br />successfully used to predict vegetation change. Verifi- <br />cation of model predictions will be necessary to test <br />the adequacy of our approach. <br /> <br />ISO <br /> <br />Channel change <br /> <br />Like most other methods used to predict changes in <br />stream biota following flow alteration, the direct gra- <br />dient method does not explicitly represent processes <br />of channel change. This is not a problem if channel <br />morphology is constant. However, if channel geometry <br />changes, the calculated inundation durations of plots <br />are likely to be in error. If bars move, but the areas of <br />different surface types do not change, then the model <br />predictions should still be valid. Where upstream dams <br />are anticipated to cause major changes in channel width <br />and depth (Williams and Wolman 1984) it will be nec- <br />essary to predict their effect on the inundating dis- <br />charges ofa representative set of plots before using the <br />direct gradient method to predict vegetation change. <br />
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