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ISMP backwater sampling evaluation <br />abundance of those taxa was also underestimated. The ISMP density estimates for largemouth <br />bass were about 1/3 (30 %) of DMR estimates. Similarly, density estimates for green sunfish <br />derived from ISMP sampling were also about 1/3 (34 %) of DMR estimates. Detection and <br />abundance estimation of centrarchids was not an original goal of ISMP sampling, and the <br />technique does not appear to be useful for such. <br />The ISMP sampling technique detected the presence of the three abundant non-native <br /> <br />cyprinids in backwaters nearly 100 % of the time. The ISMP density estimates of those three <br />species were biased low and were, on average, 66 to 79 % of DMR estimates. The ISMP and <br />DMR abundance estimates for cyprinid species were positively correlated with each other at <br />moderate levels (rZ = 0.42 to 79) which reflected some concordance between the two techniques. <br />We also analyzed the relationship between the presence and abundance of centrarchid <br />species and three non-native cyprinids and habitat variables. Largemouth bass and green sunfish <br />were most common in backwaters that were relatively large, deep, and had cover. Red and sand <br />shiner, and fathead minnow were ubiquitous in backwaters and their abundance was poorly <br />correlated with habitat variables. We also discussed the efficacy of fish removal as a <br />management technique to enhance rare fish species in the Upper Colorado River basin. <br />A new, and likely more rigorous sampling protocol needs to be developed which will <br />more reliably estimate the distribution and abundance of centrarchids in backwaters of the <br />Colorado River in the Grand Valley. However, additional data and information is needed to <br />develop a sampling program to effectively monitor centrarchid abundance. Key features of such <br />a sampling program include identifying which parameters to measure, and then determining the <br />desired level of accuracy and precision of those parameters. Only then can a sampling program <br />iv