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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
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