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<br />occurred. A chi-square test statistic was used to determine if <br />this proportion was greater or less than expected. The expected <br />frequency was simply the proportion of the total seine hauls in <br /> <br /> <br />which the nonnative species/age-class was captured. For example, <br /> <br /> <br />if juvenile Q. lutrensis was present in 50% of the total seine <br /> <br /> <br />hauls, it would be expected to occur in 50% of the seine hauls <br /> <br /> <br />where native ~. latipinnis occurred. A Bonferroni corrected <br /> <br /> <br />alpha level was used because of the large number of comparisons <br /> <br />(n=99) . <br /> <br />Spearman's rank correlations were calculated to determine if <br /> <br /> <br />the abundance of species pairs was positively or negatively <br /> <br /> <br />correlated across habitats. Because a large number of habitats <br /> <br /> <br />had only one of the species/age-class present we only considered <br /> <br /> <br />those habitats where both were present (Ludwig and Renyolds <br /> <br /> <br />1988). Thus, for many of the less-common species there were low <br /> <br /> <br />sample sizes (<5 comparisons); these were omitted from the <br /> <br /> <br />analysis. <br /> <br /> <br />Variation in habitat availability and habitat sampled among <br /> <br /> <br />seasons and sample sites was examined using a Kruskal-Wallis <br /> <br /> <br />test. If significant differences were found, pair-wise <br /> <br /> <br />comparisons by sites were tested using Wilcoxon sign ranks test <br /> <br /> <br />and P-value was adjusted using a Bonferroni correction (Sokal and <br /> <br /> <br />Rohlf 1995). Seasons were divided into the four calendar seasons <br /> <br /> <br />of the year. Additionally, differences in habitat variables were <br /> <br /> <br />tested between habitat available and that sampled using Wilcoxon <br /> <br /> <br />sign ranks test. All calculations were computed using SPSS v7.0 <br /> <br />9 <br />