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December 2002 FLOW-SEDIMENT EFFECTS ON RIVERINE FISH <br />TABLE 1. Threshold discharges (m3/s).for initial motion of <br />the bed (Q.) and the bankfull discharge (Qb) in the study <br />strata. <br />Stratum Q? Qn <br />11 246 623 <br />10 211 580 <br />9 278 608 <br />8 548 979 <br />7 519 1021 <br />6 497 1320 <br />5 609 1429 <br />4 650 2929 <br />3 561 2012 <br />2 659 1543 <br />1 nat 1788 <br />Notes: The threshold for full mobilization of the bed occurs <br />at the bankfull discharge in strata 6-11, but probably at lower <br />discharges in strata 1-5. Initial motion of the bed occurs at <br />very low flows in stratum 1 due to the unconsolidated nature <br />of the predominantly sand bed. <br />t Not applicable. <br />stream (ANCOVA, F,,92 = 0.79, P = 0.38). However, <br />mean grain size of coarse material in riffles did sig- <br />nificantly decrease (ANCOVA, F1,70 = 4.22, P = 0.044) <br />in a downstream direction. Grain size of the gravel- <br />cobble portion of the river bed declined downstream <br />in both habitat types between strata 11 and 6, then <br />increased downstream through stratum 3. <br />Differences between the longitudinal patterns of the <br />D50 (all sediments) and those of the mean sizes of coarse <br />particles (gravel-cobble) resulted from the varying <br />proportion of fine sediment (<2 mm) present in the bed <br />(Fig. 2e); this fine sediment fraction was greater in runs <br />than in riffles (ANOVA, F,,,, = 27.86, P < 0.00001) <br />and in runs it increased downstream (ANCOVA, F,95 <br />= 54.69, P < 0.00001), whereas in riffles it did not <br />(ANCOVA, F,,75 = 0.85, P = 0.36). This fine sediment <br />was responsible for a major increase in percent em- <br />beddedness in downstream runs (ANCOVA, F1,486 = <br />209.4, P < 0.00001). In contrast, percentage of em- <br />beddedness in riffles did not significantly change lon- <br />gitudinally (ANCOVA, F,,711 = 2.77, P = 0.10). Per- <br />1727 <br />centage of embeddedness (Fig. 2f) was higher in runs <br />than in adjacent riffles (ANOVA, F1,724 = 357.3, P < <br />0.00001) and this difference increased substantially <br />downstream of stratum 6. <br />The quantity of fine sediment in the streambed also <br />was reflected in measurements of total DFS and inter- <br />stitial void volume. DFS was less in runs than in riffles <br />(ANOVA, F1,719 = 154.7, P < 0.00001). In runs, DFS <br />decreased significantly (ANCOVA, F,,,,, = 70.25, P <br />< 0.00001) in a downstream direction (Fig. 2g). How- <br />ever, in riffles, although DFS declined between stratum <br />10 and 8, and was similar in strata 6-8, it increased <br />downstream of stratum 6, and the overall downstream <br />trend was not significant (ANCOVA, F,,389 = 28.51, P <br />= 0.28). As expected, the longitudinal pattern of void <br />volume resembled that of DFS (Fig. 2h), and void vol- <br />ume in riffle substrates was significantly greater (AN- <br />OVA, F,,726 = 82.91, P < 0.00001) than in run sub- <br />strates. <br />Several physical parameters were highly correlated <br />across riffles and runs (Table 2). Principal component <br />analysis was used to characterize sites according to <br />their streambed attributes (including detritus dry mass <br />and midcolumn velocity) with a single variable to fa- <br />cilitate comparison with periphyton and invertebrate <br />mass. The factor scores of the first principal component <br />provided a single variable that contained 58% of the <br />information of the original seven bed-sediment param- <br />eters (Table 3). Other principal components explained <br /><17% of the variability in physical parameters (range <br />1.7-16.6%). The loadings of the first principal com- <br />ponent variable suggest a strong positive relationship <br />(all same sign) with Dso, void volume and total DFS, <br />and a lesser positive relationship with midcolumn ve- <br />locity and detritus dry mass (Table 3). Strong inverse <br />relationships (inverse sign) with percentage of sub- <br />strate <2 mm and percentage of embeddedness were <br />also found for the first principal component variable. <br />These relationships indicate that the score of the first <br />principal component relate to the amount of sedimen- <br />tation of the streambed at a location: higher scores <br />TABLE 2. Pearson correlation coefficients for various physical parameters, chlorophyll a concentrations (mg/m2), and in <br />vertebrate dry mass (mg/ml). <br /> <br />Parameter <br />Chl a Inverte- <br />brates <br />Detritus <br />Sub <2 mm <br />D50 <br />Voids % <br />Embedded DFS <br />Invertebrates 0.60 <br />Detritus 0.41 0.54 <br />Sub <2 mm -0.50 -0.51 -0.45 <br />D50 0.43 0.51 0.46 -0.83 <br />Voids 0.35 0.44 0.42 -0.76 0.91 <br />% Embedded -0.35 -0.54 -0.47 0.76 -0.72 -0.70 <br />DFS 0.43 0.53 0.39 -.0.76 0.79 0.76 -0.80 <br />Velocity 0.17 (0.016) 0.51 0.33 -0.37 0.28 0.22 (0.001) -0.50 0.40 <br />Notes: All data were loge transformed for analysis. All correlations were significant at P < 0.00001 for r = 0.0, except <br />the two indicated in parentheses. Parameters in order are: chlorophyll a concentration (Cbl a), invertebrate dry mass (In- <br />vertebrates), detritus dry mass, fraction of substrate particles <2 mm (Sub <2 mm), median particle size of the surface layer <br />(D50), volume of interstitial void space within the substrate, percentage of the surface area consisting of fines (% Embedded), <br />absolute depth of free space (DFS), and midcolumn water velocity.