<br />OJ(73)
<br />
<br />determine whether groundwater was a source of nutri-
<br />ents to surface water (McMahon et ai" 1994), Analyses
<br />of nutrient concentrations followed methods described
<br />in Fishman (1993) and Patton & Truitt (1992), Dissolved
<br />oxygen and temperature, pH, and specific conductance
<br />were measured in situ in surface and hyporheic waters.
<br />Values of altitude, sinuosity, slope and stream order
<br />were derived from 1:24000 scale topographical maps
<br />(Meador et ai" 1993)_
<br />
<br />Data analyses
<br />
<br />.,
<br />
<br />Ordination of sites by taxa was performed using
<br />detrended correspondence analyses (DCA) on natural
<br />log-transformed abundance data using the FORTRAN
<br />program DECORANA (Hill, 1979), Analyses included
<br />the sixty-six taxa that were collected at more than one
<br />site and composed greater than 05% of the total
<br />abundance of organisms (taxa with asterisks in
<br />Table 2). These criteria for the inclusion of taxa in the
<br />analyses were used to decrease the effect of rare
<br />species. Ordination by DCA arranges sites with similar
<br />taxonomic composition to cluster more closely
<br />together and produces site scores that can be related
<br />to environmental variables. From the DCA ordination
<br />plot, four site groups were identified: mountains,
<br />plains/braided channel, plains/tributary, and plains/
<br />downstream from point source. Invertebrate taxa,
<br />functional feeding groups, and environmental vari-
<br />ables were further defined based on these four site
<br />groups,
<br />Univariate analyses of environmental variables,
<br />comparison of linear regression analyses of DCA axis
<br />1 and 2 to individual environmental variables, and
<br />analyses of variance (ANOVA) among site groups
<br />were made using SAS statistical programs (SAS, 1990),
<br />Natural log or square-root transformations were per-
<br />formed on environmental variables to achieve approxi-
<br />mate normal distribution of the data,
<br />A Shannon diversity index was calculated using the
<br />dominant taxa (excluding rare taxa) for each site
<br />(Shannon & Weaver, 1963), Phi values were calculated
<br />for the dominant and subdominant substrate sizes
<br />and the mean substrate size (Folk, 1980), All inverteb-
<br />rate taxa including rare taxa were assigned to func-
<br />tional feeding groups using Merritt & Cummins (1984)
<br />for insects and Pennak (1978) for non-insects,
<br />
<br />@ 1995 Blackwell Science Ltd, Freshwater Biology, 33, 439-454
<br />
<br />Invertebrates of the South Platte River 443
<br />
<br />Results
<br />
<br />A total of 104 invertebrate taxa were collected from
<br />all twenty-one sites in the stream survey (Table 2),
<br />Invertebrate density and number of taxa at a site
<br />ranged from 100 to 20 300 organisms m -, and six to
<br />thirty-six taxa/site (Table 1), Invertebrate density in
<br />streams of the Southern Rockies ecoregion (mountains)
<br />ranged from 1980 to 18100 m -2 and streams of the
<br />Western High Plains ecoregion (plains) ranged from
<br />100 to 20 300 m -', The mean number of taxa at a site
<br />was greater in the mountains (mean = 25; range =
<br />10-36, n = 9) compared with the plains (mean = 14;
<br />range = 6-26, n = 12)(ANOVA, P < 0,005, Table 1),
<br />The relative magnitude of eigenvalues for each DCA
<br />axis is an expression of the relative importance of
<br />the axis, DCA axis 1 (eigenvalue = 0,44) and axis 2
<br />(eigenvalue ~ 0,28) accounted for about 72% of the
<br />variance in the data set, whereas, OCA axis 3
<br />(eigenvalue = 0,16) and DCA axis 4 (eigenvalue =
<br />0,10) together accounted for < 30% of the variance
<br />and were not strongly correlated to any measured
<br />envirorunental variables. In contrast, regression of
<br />DCA axis 1 and 2 scores with environmental variables
<br />indicates significant relationship with seven physical
<br />and seven surface- and hyporheic- water chemistry
<br />variables for DCA axis 1 and two physical and four
<br />surface-water chemistry variables for DCA axis 2
<br />(Table 3), Thus, DCA axis 1 separated sites in the
<br />mountains (Southern Rocky Mountain ecoregion) from
<br />sites in the plains (Western High Plains ecoregion)
<br />based primarily on stream slope, water temperature,
<br />specific conductance, and surface water organic
<br />nitrogen + ammonia and total phosphorus concentra-
<br />tions; each variable accounted for 48% or more of the
<br />variance in DCA axis 1 scores (P < 0,05, ,2 '" 0,48;
<br />Table 3), DCA axis 2 separated sites in the plains based
<br />on surface water nitrate + nitrite concentrations and
<br />channel width, which accounted for 36 and 32%,
<br />respectively, of the variance in DCA axis 2 scores
<br />(P < 0,05, ,2 > 0.30, Table 3), Four site groups were
<br />then identified from plotting DCA axis 1 and 2 scores:
<br />mountains, plains tributaries near their confluence
<br />with the South Platte River (plains/tributary), plains
<br />streams with braided channels (plains/braided
<br />channel), and plains sites affected by wastewater-
<br />treatment-plant effluent (plains/downstream from
<br />point source) (Fig, 2),
<br />The South Platte River above eleven-mile Canyon
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