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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 />tributaries). Since it could not be determined from the database if their <br />presence was associated with spawning, the data were used for nonspawning <br />adults. For the Colorado squawfish, partitioning by time of year was made <br />along the same lines of reasoning. Data on size 2 (25-150 mm) fish were <br />di vided into March-June vs. July-November in the Green River because of <br />perceived differences in habi tat use. Size 5 (400+ rom) squawfish were <br />partitioned into April-June vs. other times of the year for data from the <br />Colorado, Green, Yampa, and White rivers because the experts had observed large <br />squawfish using large backwaters and quiet riverside habitats during spring <br />months, which are not available at other times of the year. The experts noted <br />that the majority of habitat data collected on the three target species in the <br />upper basin are from March through October, and that no habitat data are <br />available for the winter months. Studies are currently being conducted with <br />radiotelemetered Colorado squawfish and razorback sucker in the Green and Yampa <br />rivers to address this data gap. <br /> <br />7. Time of Day. Although the experts acknowledged apparent or perceived <br />differences in habitat use by some life stages by time of day, in only one case <br />was the request f!lade to partition data by this criterion. A special <br />statistical test was performed on habitat data collected from radiotelemetered <br />adult Colorado squawfish from the Yampa River. For the period April-June, the <br />test groups were 6:00 a.m. - 6:00 p.m. vs. 6:00 p.m. - 6:00 a.m. (day vs. <br />night). For other times of the year, the test groups were 5:00 a.m. - 9:00 <br />p.m. vs. 9:00 p.m. - 5:00 a.m.. The experts felt that, except for ~hese data, <br />there are insufficient collections taken randomly over the 24-hour period to <br />allow for an unbiased analysis. Most habitat data were collected between 6:00 <br />a.m. and 10:00 p.m.. <br /> <br />8. Sample Design. Two issues were identified as options for partitioning <br />data by sample design; these were randomized vs. nonrandomized sampling, and <br />multiple vs. single measurements of depth, velocity, substrate on <br />radiotelemetered fish. The experts agreed that data collected from only one <br />specific location in a nonrandomized fashion should not be included in HSI <br />curve development because the use of such data could bias the results heavily <br />toward the habitat sampled and its associated depth, velocity, and substrate <br />measurements. Regarding radiotelemetry data, the experts agreed that only <br />depths, substrates, and mean column velocities at the location of the fish <br />would be used, since not all of the database contained the additional <br />measurements taken 1 meter out and 1 meter in from the fish location. The <br />experts chose to develop curves on the basis of the fish location measurements <br />and, at Workshop *2, compared the velocities taken at the fish location with <br />those taken 1 meter on each side. <br /> <br />9. Habitat Parameters. The experts agreed by consensus that, as a <br />minimum, HSI curves would be developed for depth, velocity, and predominate <br />substrate type (SUB 1) for each partition of data identified in each size class <br />of each species. To provide the user of these preliminary curves with insight <br />to the distribution of these parameters by habitat type, the experts requested <br />associated histograms of habitat type; one histogram was to accompany each set <br />of depth, velocity, and substrate criteria. Although the experts identified <br />temperature as a fourth habitat parameter of importance, it was noted that <br />temperature cannot be considered as microhabitat in the traditional sense, <br /> <br />15 <br />