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Last modified
7/14/2009 5:02:36 PM
Creation date
5/18/2009 12:36:17 AM
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UCREFRP
UCREFRP Catalog Number
9528
Author
Martinez, P. and N. P. Nibbelink.
Title
Colorado Nonnative Fish Stocking Regulation Evaluation.
USFW Year
2004.
USFW - Doc Type
Grand Junction, Laramie.
Copyright Material
NO
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<br /> <br />LIST OF FIGURES <br />' 1. Map of Colorado denoting the general study area west of the Continental Divide, the <br />regulatory study area below 6,500-feet in elevation (excluding the San Juan River basin), <br />the primary study area within and adjacent to critical habitat for endangered fish along <br />the Colorado and Gunnison Rivers, and the intensive study area along the Grand Valley <br />reach of the Colorado River. <br />' 2. Proximity analysis: if observations of fish density in backwaters are always closer to <br />stocking locations than to locations where the species is absent, the stocked fish maybe a <br />source to riverine populations. Circles =backwaters and squares =ponds. <br />3. Proximity analysis: if observations of high fish density in backwaters are always closer to <br />stocking locations than to locations where the species is absent, the stocked fish maybe a <br />source to riverine populations. A simple t-test can suggest significant difference. <br />4. Expected patterns from the modified h-scattergram analysis. Strong relationships at <br />particular scales indicate the potential influence of source populations of nonnative fish <br />species within those distances. In this example, we see a strong relationship within 200 <br />m, but no relationship at 1000 m. <br />' S. Typical pattern observed in a correlogram. Sites that are close together are often <br />positively correlated, or they have similar densities offish. As sites become further <br />' away, they are no more likely to be positively or negatively related. On average, there is <br />no relationship. At very large distances, one can sometimes see negative correlations <br />where values of fish density at sites are less related than expected based on distance <br />' alone. This might be due to habitat factors, for example. <br />6. Typical pattern observed in a semivariogram. Sites that are close together are often not <br />' dissimilar in their densities offish. As sites become further away, they are more likely to <br />differ in values. At a certain distance, this difference no longer increases. The variance <br />at which this occurs is referred to as the sill, or maximum spatial correlation. The <br />distance at this point is referred to as the range, or distance to which spatial correlation <br />exists in the data. <br />' 7. Distribution of ponds, lakes and reservoirs above and below 6,500-feet in elevation west <br />of the Continental Divide in Colorado based on available digital spatial records. Many <br />waters in high-density areas are obscured by the symbol size, but concentrations of <br />standing water habitats remain evident. <br />8. A subset of ponds in the ISA of the Colorado River with respect to the 50-year and 100- <br />t year floodplains. <br />' 9. An example of ponds containing green sunfish within the ISA of the Colorado River from <br />river miles 175.5 to 178.8 with respect to the 50-year and 100-year floodplains. <br />
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