Scholarship & Research
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Item Field verification of predictive bedload formulas in a coarse bedload mountain stream(Montana State University - Bozeman, College of Letters & Science, 1988) Bugosh, NicholasItem Wetted stream channel, fish-food organisms and trout relative to the wetted perimeter inflection point instream flow method(Montana State University - Bozeman, College of Letters & Science, 1993) Lohr, Samuel ClarkItem Geologic controls on spring discharge in the Miller Creek basin, New World Mining District, Montana(Montana State University - Bozeman, College of Letters & Science, 1999) Durst, Alexander DanielItem Analysis and prediction of streamflow and precipitation data(Montana State University - Bozeman, College of Engineering, 1971) Cunningham, Alfred BenjaminItem Validity of the wetted-perimeter method for recommending instream flows for rainbow trout in a small stream(Montana State University - Bozeman, College of Letters & Science, 1984) Randolph, Christopher L.Item Hydraulic and geomorphic assessment of St. Regis River boulder clusters(Montana State University - Bozeman, College of Engineering, 1999) Boelman, Shawn FrancisItem Application of the minimum rate of energy dissipation theory to gradually varied flow in gravel-bed streams(Montana State University - Bozeman, College of Engineering, 1986) Janke, Paul ArthurItem Influence of reach and watershed characteristics on fish distributions in small streams of eastern Montana(Montana State University - Bozeman, College of Letters & Science, 2007) Wuellner, Melissa Renee; Chairperson, Graduate Committee: Christopher S. GuyThe prairie biome is arguably the most endangered ecoregion in North America, and the chance of extinction for many fishes is greater than in other ecoregions. Fisheries scientists and managers must understand the ecology of fishes at multiple spatial scales for effective conservation. Statistical models designed to explain distributions of fishes using environmental characteristics measured at multiple scales have provided this critical information. The objectives of this study were to: i) identify the reach- (i.e., physicochemical and biotic) and watershed-scale characteristics that affect the distribution (i.e., presence or absence) of fishes in prairie streams of Montana; and ii) identify which scale best explains the distribution of fishes in Montana prairie streams: reach, watershed, or a combination of variables measured at either scale (i.e., combined models). Reach and watershed information from 120 sites sampled between 1999 and 2004 was used to model the presence or absence of 20 species using tree classifiers. Models were evaluated by strict criteria in this study as compared to similar studies of prairie fishes. In this study, variables used in models had to reduce a significant amount of the deviance in species distributions before they could be evaluated for their predictive ability; other studies have only examined whether reach- or watershed-scale variables could be used to predict the occurrence of species.