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Last modified
7/14/2009 5:02:32 PM
Creation date
6/1/2009 11:59:29 AM
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UCREFRP
UCREFRP Catalog Number
8055
Author
Crowl, T. A. and N. W. Bouwes.
Title
A Population Model for Four Endangered Colorado River Fishes - Final Report.
USFW Year
1998.
USFW - Doc Type
Logan, Utah.
Copyright Material
NO
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n <br />1 <br /> <br />1 <br />1 <br />1 <br /> <br />0 <br /> <br />1 <br />1 <br />i <br /> <br /> <br /> <br /> <br /> <br />EXECUTIVE SUMMARY <br />This study was proposed and funded in 1994 (FY-1995) as a three year study to <br />address the current status of the four endangered fishes in the Upper Colorado River <br />Basin (UCRB), and to determine management objectives that could be implemented to <br />enhance those populations. The study consists of two main segments. Utah State <br />University was responsible for developing models for each of the fish species, and <br />collecting and synthesizeing any data relevant to understanding the population <br />dynamics of the endangered fish. Those data were later used to parameterize the <br />models for future simulations. The Utah Division of Wildlife Resources (UDWR) <br />developed the management objectives used to run simulations. This document only <br />reports on the first segment of the overall study. Development of the management <br />objectives and use of the models for accomplishing those objectives are reported in a <br />separate document provided by UDWR. <br />The objectives of this study were to: 1) develop a generalized model that could be <br />modified for use for all four species of endangered fish (Colorado squawfish, razorback <br />sucker, humpback chub, and bonytail chub) found in the UBCR; 2) use expertise from <br />Upper Basin biologists to identify specific spatial attributes and data sources to be used <br />for parameter estimates, using a workshop format; 3) collect, analyze, and synthesize <br />all data pertaining to life history attributes of the fish species to be used in final model <br />development; 4) identify data gaps and methodological problems associated with data <br />v;ii <br />1 <br />
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