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<br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br /> <br />8 <br /> <br />were assigned to a larval phase or the juvenile or adult developmental periods (Snyder 1976), measured <br />(total length, TL) to the nearest millimeter, and enumerated. All data for each sample were entered into a <br />computer database (MANAGE or ~). <br />Eight of the more commonly coUected fishes were selected for our analyses; four natives (Gila sp., <br />speckled dace, bluehead sucker, and Dannelmouth sucker) and four nonnatives (red shiner, sand shiner, <br />fathead minnow, and redside shiner). Fish were classified as age-O (aU taxa) or older (nonnatives only) by <br />relating data on date of capture and specimen TL and developmental phase or period with available, <br />taxon-specific information on typical TL at hatching, early growth rates, length at end of first year, and <br />spawning period (see Appendix A). <br />Initiation and duration of the spawning season for each taxon per year were estimated from <br />length-frequency distn"butions of age-O fish organized by sampling dates and using available information on <br />TL at hatching and early growth rates (see Appendix A). Two spawning-period parameters for each taxon <br />were produced from these estimates: (1) total number of days in the spawning season (SPAWN-T) and (2) <br />number of days, beginning April 1, to initiation of spawning (SPAWN-I). April 1 was selected as the <br />starting date because, typicaUy, ice covering the river breaks up and river discharge, water temperature, and <br />extent of low-velocity habitat begin to increase in April; these events were presumed to be biologicaUy <br />relevant to spawning of Yampa River fIShes. <br />Indices of relative abundance of age-O or older fish for each taxon by river reach and over aU <br />reaches (total) per year and by reach over aU years were calculated as number of fISh collected per area <br />seined (catch-per-unit-effort; CPUE) and percentage of all samples in which a particular taxon occurred <br />(percentage of occurrence; PO). In calculating these indices for age-O fISh, only samples collected on or <br />after estimated initiation of spawning for each taxon per year were included in analyses. According to <br />Ricker (1975) and others, values of CPUE are related in a constant or predictable way to population size, <br />and changes in absolute abundance over space and time will be reflected in CPUE values. Haynes and <br />Muth (1982) discussed strengths and weaknesses of CPUE in estimating abundance of fIShes in open, <br />structurally diverse systems like rivers of the Colorado River Basin. <br /> <br />Correlations.-Correlation coefficients (pearson r) were calculated to better assess interdependency <br />among years between monthly discharge parameters and degree-days, among annual relative-abundance <br />indices and spawning-period parameters of fishes, and between annual relative-abundance indices and <br />spawning-period parameters of fishes and monthly discharge parameters and degree-days. Because of the <br />survey-sampling nature of the existing fISh database (data were not coUected within an experimental <br />framework) and because variables were measured or estimated, therefore subject to error, this descriptive <br />statistical technique was considered most appropriate; our objective was to establish and estimate degree of <br />association between variables (interdependence), not to describe functional relationships between variables <br />(i.e., predict one variable in terms of another). The level of statistical significance for coefficients was set at <br />