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Table 4. Depth and velocity criteria used to define meso-habitat types. <br /> Habitat T es De th Veloci <br /> m m/s <br />1 Wetted- ool 0.01 - 0.2 < 0.15 <br />2 Shoal- ool 0.2 - 0.5 < 0.15 <br />3 Shallow- ool 0.5-1,0 <O.1S <br />4 Medi- 1 1.0 - 2.0 < 0.15 <br />S Dee - ool > 2.0 < 0.15 <br />6 Wetted-run .O1 - 0.2 O.1S - .6 <br />~ Shoal-run 0.2 - 0.5 0.1 S - .6 <br />8 Shallow-run 0.5 to 1.0 0.1 S - .6 <br />9 Medi-run 1.0 to 2.0 0.1 S - .6 <br />10 Dee -run > 2.0 0.1 S - .6 <br />11 Shallow-riffle < 0.2 0.6 - 1.5 <br />12 Riffle 0.2 to 0.5 0.6 - 1.5 <br />13 Dee -riffle 0.5 to 1.0 0.6 - 1.5 <br />14 Ve -de -riffle > 1.0 0.6 - 1.5 <br />15 Shallow-ra id < 0.5 > 1.5 ' <br />16 Dee -ra id > 0.5 > 1.S <br />The meso-habitat suitability analyses used the 2-D hydraulic modeling simulation . <br />runs to determine physical attribute metrics for each polygon. This included surface area, <br />mean depth, mean velocity, maximum depth and maximum velocity. Species density <br />and biomass data were calculated based on the percent of fish captured in each sub-reach <br />times the total-reach estimate. Polygons with zero biomass were considered unusable <br />habitat. Polygons that supported high biomass indicated higher habitat quality. Biomass <br />was determined for the flannelmouth sucker, bluehead sucker and roundtail chub over 20 <br />cm in length. <br />The polygon data was used to create four functional meso-habitat types for <br />bluehead and flannelmouth suckers. The biomass and mean depth, and mean velocity <br />data was imported into Sigma Plot and then smoothed using a running median function. <br />The result was a regular matrix showing estimated polygon biomass as a function of <br />mean depth and mean velocity. The biomass data were graphed using Sigma Plot <br />software at the scale of 0.1 m, which was used for both axes. For example, bluehead <br />sucker had low biomass in the cell with a depth of 0.6 m and 0.3 m/s, but higher biomass <br />for the cell with 0,6 depth and 0.7 m/s. The data was validated by regression analysis of <br />projected biomass versus observed biomass. <br />Four levels of suitability were determined from the polygon biomass. Polygons <br />with zero biomass were called Unusable habitat. Unsuitable, Marginal and Optimal were <br />the other meso-habitat types. Each contained roughly about one-third of the total sample <br />size. The lower third or Unsuitable polygons represented about 15% of the total biomass. <br />Marginal represented about 25% Optimal contained about 60% of the total biomass of the <br />total electro-fishing station. <br />32 <br />