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<br />(260+) <br />Spawning <br /> <br />\ <br /> <br />of the depth data were to the nearest 0.1 <br />feet, and the velocity data were to the near- <br />est 0.1 feet per second (fps). <br /> <br />Task 3: Preliminary 51 Curve Development <br /> <br />Following workshop 1, each data parti- <br />tion specified by the species experts was <br />drawn from the database, and the appro- <br />priate test or decision/test conducted. Data <br />partitions for depth and velocity were <br />pooled or retained on the basis of the Kol- <br />mogorov /5mirnov cumulative frequency <br />test (significant at D < 0.05; Press et a1. <br />1986), while Chi-square (significant at P < <br />0.05) was applied to test for substrate and <br />habitat partitions. Once the preliminary <br />partitions were determined, means and <br />variances were computed for raw data val- <br />ues of depth and velocity, but no statistics <br />were presented for the substrate data be- <br />cause the predetermined cell distribution <br />rendered these a discontinuous variable <br />(i.e., substrate was classified according to <br />the categories of the modified Wentworth <br />scale, rather than presented as continuous <br />measurements). The data of each partition <br />were then plotted on a frequency histo- <br />gram, and a smooth curve fitted to the data. <br />One of three curve models was used to best <br />fit these curves: (1) exponential polyno- <br />mial (Bovee 1986), (2) exponential density <br />(Haan 1977), or (3) generalized Poisson <br />(Bovee 1986). These curve models were <br />used because they most closely approxi- <br />mated the distribution of the raw data, and <br />it was possible to fit a curve to peak with <br />the raw data without being skewed by data <br />outlyers. This procedure resulted in an <br />equation for each curve which made it re- <br />producible, and it allows for the produc- <br />tion of weighted usable area at any level <br />of parametric resolution. <br />The result of this process was a prelim- <br />inary curve set for each partition of data. <br />Each curve set consisted of three frequency <br />histograms of raw data, one each for water <br />depth, velocity, and substrate with curves <br />fitted to depth and velocity. Each frequen- <br />cy histogram with raw data and curve was <br />then stored as a separate computer file for <br />viewing and modifying with the aid of a <br />limelite projector during workshop 2. All <br />the curve sets and documentation were sent <br />to the species experts and participants in <br />advance of workshop 2 in order for them <br /> <br />----------- <br />co <br />I <br />No Conaonsus Test <br />__----------T''-,,, <br /> <br /> <br />1 11 <br /> <br />./'T'--.- /'... /'... <br /> <br />· .~~~.-111 <br />_ __1L-- <br /> <br /> <br />partitioned into Yampa (Y A), <br />Westwater Canyon (WW), and <br />f trammel nets (NET), angling <br />Ita partitions used for prelim- <br /> <br />e developed by a Delphi <br />::me and Turoff 1975) in <br />een workshops, and eval- <br />orkshop 2. The experts <br />Licrohabitat parameters to <br />1 category II criteria were <br />ocity, and substrate since <br />ations were available from <br />bstrate was classified ac- <br />odified Wentworth scale <br />lnauer 1977); clay or mud <br />1.062 mm diameter), sand <br />m), gravel (GR, 2-64 mm), <br />~50 mm), boulder (BO, 25- <br />: (BE), and other (OT) mis- <br />;ories. Water temperature <br />also considered; however, <br />not available in much of <br />1 the experts felt that water <br />LId not be considered as a <br />rameter in the traditional <br />hibits seasonal differences <br />t any given time, provide <br />full range of choices. The <br />~ed, by consensus, to retain <br />em of measure, since most <br /> <br />January 1990 J <br /> <br />[ R. A. Valdez et a1. <br /> <br />to review the preliminary 51 curves and <br />prepare comments. <br />An effort was also made to develop cat- <br />egory I curves for life stages having little <br />or no data using a Delphi technique similar <br />to that applied to other fish species (Crance <br />1984, 1987; 5tier and Crance 1985). Each <br />species expert was sent a set of blank his- <br />tograms for each life stage and habitat pa- <br />rameter identified in workshop 1 as re- <br />quiring category I criteria development. <br />Each expert was to apply professional judg- <br />ment and expertise, and independently de- <br />velop a category I 51 curve. These curves <br />were to be reviewed, evaluated, modified, <br />and approved during workshop 2. <br /> <br />Task 4: Workshop 2 <br />Workshop 2 was held about 3 months <br />after workshop 1. The purpose of this sec- <br />ond workshop was for the species experts <br />to evaluate and approve the preliminary <br />51 curves, and to develop category I curves <br />for life stages having little or no data. <br />Workshop 2 was attended by 15 people, <br />including 3 workshop organizers, 6 species <br />experts and 6 participants. This workshop <br />was conducted in a manner similar to <br />workshop 1. <br />Each set of preliminary curves was de- <br />scribed by the chairman and data analyst <br />and presented to the species experts on <br />overhead transparencies as well as on hard <br />copies that had been previously sent to the <br />experts. Accompanying statistics were pre- <br />sented for each 51 curve as well as for each <br />test of data partitions that led to its devel- <br />opment. The experts were then asked <br />whether to use the preliminary curve or to <br />pool the data of several partitions to de- <br />velop a new 51 curve. A consensus of ex- <br />perts at workshop 2 was four of six agree- <br />ing on a course of action. <br />Although statistical comparisons were <br />made between all pairs of data partitions, <br />the experts did not rely exclusively on the <br />results of these tests to determine pooling <br />or partitioning. The experts used the sta- <br />tistical tests as a guide to partitioning, and <br />in some cases, overruled a statistical test <br />with biological opinion. For example, al- <br />though microhabitat data collected from <br />fish captured with gill nets sometimes dif- <br />fered from data collected by electrofishing, <br />these conventional gear data were pooled <br /> <br />35 II~ <br /> <br />