<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 />
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