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been chosen from a"choice set" consisting of points in the available sample. For used points in <br />the wetted channel, the choice set consisted of available points in the wetted channel. For used <br />points outside of the wetted channel, the choice set consisted of available points outside of the <br />wetted channel. The discrete choice model accounts for different land cover options within the <br />two strata, wetted channel and upland, while modeling the underlying relationships between <br />selection and land cover predictor variables. The model for all opportunistic locations had <br />sample sizes of 320 used and 6420 available locations. The model for all systematic locations <br />had sample sizes of 72 used and 6420 available locations. The 27 variables considered as <br />candidates for each of these models were the land cover category, the distance to each land cover <br />category, and the proportion of each of the 9 land cover categories within 0.25 miles of the <br />location (Table 2). <br />Study area in-channel selection of land cover <br />In-channel selection of land cover was modeled with an exponential function (Manly et al. <br />2002). The model for in-channel systematic locations had sample sizes of 58 used and 189 <br />available locations. The model including opportunistic locations had sample sizes of 150 used <br />and 189 available locations. The same 27 variables were considered as candidates these two <br />models. <br />Local area selection of land cover <br />Local area selection of land cover was modeled as a discrete choice in space (Manly et al. 2002). <br />In this model, a used location was considered a choice, and each location was considered to have <br />been chosen from a"choice set" consisting of points in the available sample within the local area <br />(as described above). A discrete choice model will account for different land cover options <br />within the local area around the crane observation, while modeling the underlying relationships <br />between selection and land cover predictor variables. <br />The model for all opportunistic locations had sample sizes of 321 used and approximately 300 <br />available locations in each choice set. The model for systematic locations had sample sizes of 72 <br />used and approximately 300 available locations in each choice set. The same 27 land cover <br />variables were considered as candidates for each of these models, and forward model selection <br />proceeded as described above. <br />Local in-channel selection of land cover <br />Local area selection of in-channel land cover was modeled as a discrete choice in space (Manly <br />et al. 2002). In this model, a used location was considered a choice, and each location was <br />considered to have been chosen from a"choice set" consisting of in-channel points in the <br />available sample within the local area (as described above). A discrete choice model will account <br />for different land cover options within the local area around the crane observation, while <br />modeling the underlying relationships between selection and land cover predictor variables. <br />The model for in-channel opportunistic locations had sample sizes of 151 used and <br />approximately 15 available locations in each choice set. The model for in-channel systematic <br />locations had sample sizes of 58 used and approximately 15 available locations in each choice <br />set. The same 27 land cover variables were considered as candidates for each of these models, <br />and forward model selection proceeded as described above. <br />8