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the study area. The sediment and river hydraulics group of the USGS in Denver evaluated three <br />methods to incorporate the water surface differential in the flow dependent parameters. The <br />HECRAS model was chosen as the best method based on their evaluation (Fotherby and Russell <br />2008). The HECRAS model used the mean daily flow values from the gages adjacent to the <br />crane group location, divided the flow between the channels in the full cross section, and <br />computed the water surface differential at each transect. The HECRAS model output included <br />an estimated water surface differential, wetted top width, hydraulic depth, and flow for whooping <br />crane transects on every day with a crane group observation. The HECRAS water surface <br />differential was used to adjust the profile data to estimate sandbar elevation with simple linear <br />interpolation <br />For the models incorporating flow dependent characteristics, we defined the available set of <br />points as the base set of 165 transects spaced every 0.50 mile in the HECRAS model (Fotherby <br />and Russell 2008). This set included transects which were measured in 1989, 1998, or 2002, <br />transects which were interpolated from the measured transects, and transects which were <br />synthetically constructed from the 1998 colar infra-red photos. The spatial extent of this set of <br />transects was from river mile 157 to river mile 239, limiting the model to inferences within this <br />section of the river. The HECRAS model output included an estimated water surface differential, <br />wetted top width, hydraulic depth, and flow for base transects on every day with a crane group <br />observation. Sandbar elevation could not be obtained for the base set of transects. <br />Means of Habitat Parameters <br />Land cover variables, characteristics measured on the ground, and flow dependent habitat <br />variables were summarized for use sites in the channel and upland strata separately and also <br />combined. For the systematic sample of use locations, strata means and variances were estimated <br />by the Horvitz-Thompson estimator for unequal probability sampling designs (Thompson 1992). <br />Each observation had a predicted probability of inclusion in the sample based on the <br />characteristics of the flight on which it was observed. Strata estimates were combined using <br />standard estimators for stratified random sampling (Scheaffer et al. 1996). Strata weights were <br />based on the number of possible transect days and the number of surveyed transect days. <br />We also used large sample approximations of estimators for simple random samples to calculate <br />means and variances for the systematic and opporiunistic combined sample of use locations. We <br />also estimated these values for the available samples for each habitat model. <br />Habitat Models <br />We constructed seven habitat models to describe habitat selection with the three types of habitat <br />parameters. <br />• Four models were fit to evaluate the association of habitat use with land cover: <br />o Habitat selection in the entire study area (in-channel and upland), <br />o Habitat selection in-channel in the study area, <br />o Habitat selection in the local area (in-channel and upland) and <br />o Habitat selection in the local in-channel area.