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determine, without the encumbrance of personal judgement, locations of <br />study areas which by virtue of representation, can be extrapolated over <br />larger areas. <br />Topographic and geologic maps, stream flow and water quality <br />records, along with species distribution maps and studies, and aerial <br />photographs (where available) collectively provide raw data for the <br />stratification phase. Field tripes over flights are helpful in parti- <br />tioning off rather homogenous stream segments but are often insufficient <br />as the sale means of stratification. <br />A stratified river, segment may be thought of as a series of short <br />reaches with a common morphology. Each of these short reaches is <br />relatively similar to every other short reach within the stratified <br />segment, with the frequency of dissimilar reaches decreasing as a normal <br />distribution function. This means that if several random samples were <br />taken within the population of representative reaches, the probability of <br />obtaining a representative reach "typical" of the stratified segment <br />would be greater than the probability of obtaining one which is "atypical" <br />of the stratified segment. This process is termed "stratified random <br />sampling" and follows accepted statistical sampling methods. Figure 15 <br />illustrates the hierarchy of nomenclature used to focus activities down to <br />a study area. <br />Even though a good job of stratification (identifying the relatively <br />large homogenous segments) has been done, there will always be zones <br />within the stratified reach which are obviously different from the rest of <br />the reach. Consistent with probability theory and the random sampling <br />process, the stratified segment may be simply dissected into a population <br />of small reaches of similar length, and several samples drawn at random <br />from the population. This implicit zonation recognizes that variance <br />between candidate representati- ve reache- reaches does exist, and it is assumed <br />that the different types of candidate reaches will be sampled in the <br />proportion that they occur in the stratified segment. Specifically, it is <br />assumed that the type of reach which occurs the most often is the most <br />likely to be sampled, and the most unusual or atypical reach the least <br />likely to be sampled. <br />The technique of explicit zonation may further be used to ensure that <br />at least one sample is taken from each "different" type of candidate <br />reach. Using the process of explicit zonation, subpopuiations of <br />candidate reaches are generated by a further classification .of reach types <br />within the stratified stream reach. For example, all riffle-pool <br />sequences are clumped together as one discrete population, all meandering <br />reaches as another population, and all braided reaches as yet another <br />population. Explicit zonation essentially means the application of a <br />second stratification process within the larger stratified segment. <br />While this sampling technique ensures that at least one candidate from <br />each reach type will be sampled, the investigator may be faced with the <br />problem of degree of zonation (how different is different?). In the final <br />selection of the representative reach to study, implicit zonation within <br />415'