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species. Distances' between sites were weighted rare and common s <br />pecies equally <br />computed as the percent <br />disagreement, i.e., <br />%D= number of discordant <br />airs/ <br />b . <br />Analysis of presence/absence data was <br />p <br />num <br />er of determined to be the preferred approach for <br />species. The cluster analysis tree was <br />constructed using Ward's method <br />Th obtaining fish faunal regions because it <br />. <br />e <br />utility of other clustering methods was also provided a coarser scale view of fish faunal <br />regions (Hawkes et al., 1986). <br />investigated, including single linkage, <br />complete linkage, unweighted pair-group For relative abundance data, cluster analysis <br />method using arithmetic averages <br />(UPGMA); and -weighted pak-group method - was performed on Euclidean distances <br />--between sit <br />- <br />i <br />' <br /> <br />using weighted averages (WPGMA). In es <br />us <br />ng Ward <br />s method. The <br />relative abundance data provided a fine <br /> <br />general, Ward's method consistently <br />provided mor <br />i r <br />scale view of site similarity because it <br />e <br />nterpretable trees than did <br />the other clustering algorithms <br />Oth grouped sites based on their most abundant <br />. <br />er <br />distance metrics evaluated, but not species of fish. As a result, relative <br />abundance data had less utility in defining <br />considered further for presence/absence <br />data, included Euclidean distance, squared fish faunal regions than did <br />presen Wabsence data <br />Whil <br /> <br />Euclidean distance, and one minus the , <br />e relative <br />abundance data had less utility in defining <br />Pearson correlation coefficient. Similarity fish faunal regions, it should have greater <br />among upper Rio Grande drainage sites was utility for development of an IBI because it <br />also assessed using presence/absence for 59 can distinguish sites that are dominated by <br />benthic macromvertebrate taxa (generally an undesirable species such as white sucker` <br />family or subfamily). Cluster analysis for from sites with a more desirable array of <br />benthic macroinvertebrate taxa was species. <br />performed using Ward's method (Ward, <br />1963). on percent disagreement distances <br />between sites. Associations of Benthic Maeroinvertebrate <br /> Taxa and Ch&vnomid Species <br />Site Similarity Based on FUh Species (fth <br />Faunal Regions) <br />One of the objectives of the present study <br />was to define species or taxonomic <br />associations. Herein, the term association is <br />Fish-faunal regions in the upper Rio Grande taken to mean a group of taxa that tend to <br />drainage were elucidated using cluster be found together at the same site(s). <br />analysis on presence/absence data and Cluster analysis on presence/absence data <br />cluster analysis on relative abundance data. was used to define associations, or <br />For presence/absence data, cluster analysis assemblages, of chironomid species and of <br />was performed on percent disagreement benthic macroinvertebrate taxa. The cluster <br />distances between sites using Ward's analyses were conducted on percent <br />method. This analysis grouped sites based <br />on their fish species diversity and it <br />7 In this report, "distance" refers to a statistical difference; it should not be interpreted as a <br />physical separation in the geographic sense. <br />` Where it exists as an introduced taxon and it has a repressive effect on other species. <br />23 <br />r,