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Assessing Impacts of Operations on Fish Reproduction in Missouri River Reservoirs
This report describes a method for predicting impacts of system- operating alternatives on fish reproduction in six Missouri River reservoirs (Fort Peck, Sakakawea, Oahe, Sharpe, Francis Case, and Lewis and Clark). Effects of seasonal or annual variations in reservoir hydrology on catches of young-o...
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creator | Ploskey, Gene R Harberg, Mark C Power, Greg J Stone, Cliff C Unkenholz, Dennis G |
description | This report describes a method for predicting impacts of system- operating alternatives on fish reproduction in six Missouri River reservoirs (Fort Peck, Sakakawea, Oahe, Sharpe, Francis Case, and Lewis and Clark). Effects of seasonal or annual variations in reservoir hydrology on catches of young-of- year (YOY) fish in summer were quantified using correlation and regression analyses. Software was developed that predicts YOY catch and calculates a fish reproduction index (RI) for every possible year in the 93-year period of record (1898-1990) and any operational alternative. The method allows users to evaluate operational alternatives by comparing results from a long chronology of predicted indices. Small sample sizes and poor correlations between YOY fish catch and most fish stocking variables kept researchers from using stocking variables as covariates in regression analyses. Despite data limitations, the number of fingerling walleye stocked apparently is a legitimate covariate. The YOY walleye catch in Lake Sakakawea was adjusted to include only nonstocked YOY as a dependent variable. This adjustment resulted in a much stronger relation between YOY catch and change in area from April through June than when catch consisted of both stocked and naturally produced walleye. Correlation of YOY catch with weather variables yielded few consistent or useful results, and weather variables were not used in regression analyses. Fish, Modeling, Reservoir, Impact assessment, Operations, Water level, Missouri River, Reproduction |
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Effects of seasonal or annual variations in reservoir hydrology on catches of young-of- year (YOY) fish in summer were quantified using correlation and regression analyses. Software was developed that predicts YOY catch and calculates a fish reproduction index (RI) for every possible year in the 93-year period of record (1898-1990) and any operational alternative. The method allows users to evaluate operational alternatives by comparing results from a long chronology of predicted indices. Small sample sizes and poor correlations between YOY fish catch and most fish stocking variables kept researchers from using stocking variables as covariates in regression analyses. Despite data limitations, the number of fingerling walleye stocked apparently is a legitimate covariate. The YOY walleye catch in Lake Sakakawea was adjusted to include only nonstocked YOY as a dependent variable. This adjustment resulted in a much stronger relation between YOY catch and change in area from April through June than when catch consisted of both stocked and naturally produced walleye. Correlation of YOY catch with weather variables yielded few consistent or useful results, and weather variables were not used in regression analyses. Fish, Modeling, Reservoir, Impact assessment, Operations, Water level, Missouri River, Reproduction</description><language>eng</language><subject>Biology ; Civil Engineering ; Ecology ; ENVIRONMENTAL IMPACT ; FISHES ; HYDROLOGY ; Hydrology, Limnology and Potamology ; LAKES ; MISSOURI RIVER ; RECORDS ; REPRODUCTION ; RESERVOIRS ; RIVERS ; SEASONAL VARIATIONS ; SUMMER ; VARIABLES ; VARIATIONS ; WEATHER</subject><creationdate>1993</creationdate><rights>Approved for public release; distribution is unlimited.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,776,881,27543,27544</link.rule.ids><linktorsrc>$$Uhttps://apps.dtic.mil/sti/citations/ADA273465$$EView_record_in_DTIC$$FView_record_in_$$GDTIC$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Ploskey, Gene R</creatorcontrib><creatorcontrib>Harberg, Mark C</creatorcontrib><creatorcontrib>Power, Greg J</creatorcontrib><creatorcontrib>Stone, Cliff C</creatorcontrib><creatorcontrib>Unkenholz, Dennis G</creatorcontrib><creatorcontrib>ARMY ENGINEER WATERWAYS EXPERIMENT STATION VICKSBURG MS ENVIRONMENTAL LAB</creatorcontrib><title>Assessing Impacts of Operations on Fish Reproduction in Missouri River Reservoirs</title><description>This report describes a method for predicting impacts of system- operating alternatives on fish reproduction in six Missouri River reservoirs (Fort Peck, Sakakawea, Oahe, Sharpe, Francis Case, and Lewis and Clark). Effects of seasonal or annual variations in reservoir hydrology on catches of young-of- year (YOY) fish in summer were quantified using correlation and regression analyses. Software was developed that predicts YOY catch and calculates a fish reproduction index (RI) for every possible year in the 93-year period of record (1898-1990) and any operational alternative. The method allows users to evaluate operational alternatives by comparing results from a long chronology of predicted indices. Small sample sizes and poor correlations between YOY fish catch and most fish stocking variables kept researchers from using stocking variables as covariates in regression analyses. Despite data limitations, the number of fingerling walleye stocked apparently is a legitimate covariate. The YOY walleye catch in Lake Sakakawea was adjusted to include only nonstocked YOY as a dependent variable. This adjustment resulted in a much stronger relation between YOY catch and change in area from April through June than when catch consisted of both stocked and naturally produced walleye. Correlation of YOY catch with weather variables yielded few consistent or useful results, and weather variables were not used in regression analyses. Fish, Modeling, Reservoir, Impact assessment, Operations, Water level, Missouri River, Reproduction</description><subject>Biology</subject><subject>Civil Engineering</subject><subject>Ecology</subject><subject>ENVIRONMENTAL IMPACT</subject><subject>FISHES</subject><subject>HYDROLOGY</subject><subject>Hydrology, Limnology and Potamology</subject><subject>LAKES</subject><subject>MISSOURI RIVER</subject><subject>RECORDS</subject><subject>REPRODUCTION</subject><subject>RESERVOIRS</subject><subject>RIVERS</subject><subject>SEASONAL VARIATIONS</subject><subject>SUMMER</subject><subject>VARIABLES</subject><subject>VARIATIONS</subject><subject>WEATHER</subject><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>1993</creationdate><recordtype>report</recordtype><sourceid>1RU</sourceid><recordid>eNqFib0KwkAQBq-xEPUNLPYFbIw_9aEGLUQM9uG4bOKC3h37XfL8RrC3GmZmau4WYEBCR5d3cj6DYku3xOqyxDBaoFLwpIqTxqb330oS6CpA7FWokoF13GAdoijmZtK6F3jx48wsy9PjcF41WXyNLIFzbY92vS82u23xZ38AsT009w</recordid><startdate>199309</startdate><enddate>199309</enddate><creator>Ploskey, Gene R</creator><creator>Harberg, Mark C</creator><creator>Power, Greg J</creator><creator>Stone, Cliff C</creator><creator>Unkenholz, Dennis G</creator><scope>1RU</scope><scope>BHM</scope></search><sort><creationdate>199309</creationdate><title>Assessing Impacts of Operations on Fish Reproduction in Missouri River Reservoirs</title><author>Ploskey, Gene R ; Harberg, Mark C ; Power, Greg J ; Stone, Cliff C ; Unkenholz, Dennis G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-dtic_stinet_ADA2734653</frbrgroupid><rsrctype>reports</rsrctype><prefilter>reports</prefilter><language>eng</language><creationdate>1993</creationdate><topic>Biology</topic><topic>Civil Engineering</topic><topic>Ecology</topic><topic>ENVIRONMENTAL IMPACT</topic><topic>FISHES</topic><topic>HYDROLOGY</topic><topic>Hydrology, Limnology and Potamology</topic><topic>LAKES</topic><topic>MISSOURI RIVER</topic><topic>RECORDS</topic><topic>REPRODUCTION</topic><topic>RESERVOIRS</topic><topic>RIVERS</topic><topic>SEASONAL VARIATIONS</topic><topic>SUMMER</topic><topic>VARIABLES</topic><topic>VARIATIONS</topic><topic>WEATHER</topic><toplevel>online_resources</toplevel><creatorcontrib>Ploskey, Gene R</creatorcontrib><creatorcontrib>Harberg, Mark C</creatorcontrib><creatorcontrib>Power, Greg J</creatorcontrib><creatorcontrib>Stone, Cliff C</creatorcontrib><creatorcontrib>Unkenholz, Dennis G</creatorcontrib><creatorcontrib>ARMY ENGINEER WATERWAYS EXPERIMENT STATION VICKSBURG MS ENVIRONMENTAL LAB</creatorcontrib><collection>DTIC Technical Reports</collection><collection>DTIC STINET</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ploskey, Gene R</au><au>Harberg, Mark C</au><au>Power, Greg J</au><au>Stone, Cliff C</au><au>Unkenholz, Dennis G</au><aucorp>ARMY ENGINEER WATERWAYS EXPERIMENT STATION VICKSBURG MS ENVIRONMENTAL LAB</aucorp><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><btitle>Assessing Impacts of Operations on Fish Reproduction in Missouri River Reservoirs</btitle><date>1993-09</date><risdate>1993</risdate><abstract>This report describes a method for predicting impacts of system- operating alternatives on fish reproduction in six Missouri River reservoirs (Fort Peck, Sakakawea, Oahe, Sharpe, Francis Case, and Lewis and Clark). Effects of seasonal or annual variations in reservoir hydrology on catches of young-of- year (YOY) fish in summer were quantified using correlation and regression analyses. Software was developed that predicts YOY catch and calculates a fish reproduction index (RI) for every possible year in the 93-year period of record (1898-1990) and any operational alternative. The method allows users to evaluate operational alternatives by comparing results from a long chronology of predicted indices. Small sample sizes and poor correlations between YOY fish catch and most fish stocking variables kept researchers from using stocking variables as covariates in regression analyses. Despite data limitations, the number of fingerling walleye stocked apparently is a legitimate covariate. The YOY walleye catch in Lake Sakakawea was adjusted to include only nonstocked YOY as a dependent variable. This adjustment resulted in a much stronger relation between YOY catch and change in area from April through June than when catch consisted of both stocked and naturally produced walleye. Correlation of YOY catch with weather variables yielded few consistent or useful results, and weather variables were not used in regression analyses. Fish, Modeling, Reservoir, Impact assessment, Operations, Water level, Missouri River, Reproduction</abstract><oa>free_for_read</oa></addata></record> |
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subjects | Biology Civil Engineering Ecology ENVIRONMENTAL IMPACT FISHES HYDROLOGY Hydrology, Limnology and Potamology LAKES MISSOURI RIVER RECORDS REPRODUCTION RESERVOIRS RIVERS SEASONAL VARIATIONS SUMMER VARIABLES VARIATIONS WEATHER |
title | Assessing Impacts of Operations on Fish Reproduction in Missouri River Reservoirs |
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