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are still elevated relative to the control catchment. Pub- <br />lished data show a linear decline in water yields from <br />1958 to 1986 (Figure 2.6) ( Troendle and Nankervis, <br />2000), and this linear decline has continued through <br />2000 (C. Troendle, Matcom Corp., pers. comm., 2003). <br />The data suggest annual water yields will return to their <br />pre- treatment values in approximately 60 years. <br />Hydrologic recovery is expected to be faster in most <br />other vegetation types relative to the subalpine spruce -fir <br />forest type. Hydrologic recovery has been estimated to <br />be on the order of 15 -45 years for species that resprout <br />or are faster growing, such as aspen ( Troendle and Nan- <br />kervis, 2000). Hydrologic recovery also should be faster <br />in areas with less annual precipitation, as less regrowth is <br />needed to return summer water losses to pre - harvest lev- <br />els. Paired- watershed studies in the ponderosa pine zone <br />in Arizona showed that harvest- induced water yields <br />persisted for only seven years on the watershed that was <br />completely clearcut, and from three to seven years for <br />three of the four watersheds that were partially cleared. <br />Approximately 10 years were needed for hydrologic re- <br />covery on the watershed that was 77% cleared, and the <br />longer treatment effect on this watershed was attributed <br />to the combination of north - facing aspects and shorter <br />slopes (Baker, 1986). Paired- watershed studies in Or- <br />egon also have shown that the time to hydrologic recov- <br />ery may be reduced if fast - growing riparian species, such <br />as alder, become more prevalent after forest harvest, or <br />there are species that resprout. A similar effect might be <br />expected in Colorado. In some cases the replacement of <br />mature or over - mature trees with younger, more vigor- <br />ous vegetation can cause water yields to drop below the <br />pre - harvest values after 10 -20 years (e.g., Vertessey et <br />al., 1996), and it is not known whether an analogous de- <br />cline in annual water yields will occur in Colorado. <br />2.2.5. Effects of vegetation change on the size of peak <br />flows. <br />The effect of forest management on the size of peak flows <br />is an important concern for resource managers and the <br />public. An increase in the size or duration of high flows <br />can increase the sediment transport capacity, alter chan- <br />nel geometry by scour or bank erosion (Schumm, 1971), <br />and raise water levels (stage) in the affected streams. <br />Hydrologic theory suggests that any reduction in forest <br />cover will have a progressively smaller effect on peak <br />flows with increasing flow magnitude or recurrence in- <br />terval, and most reviews on the effects of forest manage- <br />ment on runoff have come to a similar conclusion (e.g., <br />Anderson et al., 1976; Austin, 1999). The underlying <br />logic is that during the largest rain or snowmelt events <br />the soils and vegetative canopy will have little additional <br />13 <br />storage capacity, and under these conditions much of the <br />rainfall or snowmelt will be converted to runoff regard- <br />less of the amount or type of vegetative cover. <br />If the amount and delivery of runoff are not significantly <br />altered by roads or soil compaction, the primary hydro- <br />logic change in rain - dominated areas is a reduction in <br />interception. Since interception losses should be pro- <br />portionally less in the larger storms (Zinke, 1967), one <br />would expect proportionally smaller increases in the <br />larger peak flows. An analysis of daily flows from 28 <br />paired - catchment experiments showed that the median <br />increase in the 95 -99' percentiles of daily flows (i.e., <br />the flows that are equaled or exceeded for 3 -20 days per <br />year) was about 10 -15% (Austin, 1999). The effect of <br />forest harvest on larger flows (i.e., >2 -year recurrence in- <br />terval) in rain - dominated areas is much more difficult to <br />discern because of the variability between basins and the <br />small number of events for analysis. The effects of forest <br />management on runoff from these extreme rain events is <br />still a matter of considerable controversy (e.g., Jones and <br />Grant, 1996; Thomas and Megahan, 1998; Jones, 2000). <br />In the mixed conifer zone in northern Arizona the re- <br />moval of approximately 28% of the basal area increased <br />the smaller peak flows (97.51 percentile) by 16% and the <br />larger peak flows (991 percentile) by only 6% (Austin, <br />1999). In northern Arizona the peak flow from a 100 - <br />year storm event was estimated to have increased by 20- <br />28% in watersheds where 30 -50% of the timber had been <br />removed (Brown et al., 1974). For this same storm, the <br />estimated increase in peak flow was approximately 90% <br />for a watershed where 77% of the timber had been re- <br />moved and another watershed where the vegetation had <br />been converted from forest to grass. The largest increase <br />(170 %) was on the watershed that had been clearcut and <br />subjected to 100% ground disturbance (Brown, 1974). <br />In snowmelt - dominated areas the effects of forest har- <br />vest on peak flows is more consistent, but one must still <br />be careful to define the peak flow of concern and whether <br />the increase is in relative or absolute terms. In general, <br />forest harvest in snowmelt- dominated areas in the Rocky <br />Mountains will increase the size and frequency of the <br />larger flows, but there is little evidence for an increase <br />in the highest instantaneous peak flows (i.e., flows with <br />a recurrence interval greater than two years). The change <br />in the size of peak flows in snowmelt- dominated areas is <br />due to multiple factors, and these include an increase in <br />the amount of shortwave radiation that reaches the snow- <br />pack surface, an increase in the turbulent heat transfer as <br />a result of higher wind speeds at the snowpack surface, <br />an increase in latent heat transfer due to condensation <br />