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Classification of Texas Reservoirs in Relation to Limnology and Fish Community Associations
Author(s) -
Dolman William B.
Publication year - 1990
Publication title -
transactions of the american fisheries society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.696
H-Index - 86
eISSN - 1548-8659
pISSN - 0002-8487
DOI - 10.1577/1548-8659(1990)119<0511:cotrir>2.3.co;2
Subject(s) - micropterus , electrofishing , canonical correlation , ecology , sampling (signal processing) , geography , fishery , environmental science , fish <actinopterygii> , bass (fish) , biology , statistics , mathematics , filter (signal processing) , computer science , computer vision
I used cluster analysis to examine associations among 20 fish species to develop a classification scheme for 132 large Texas reservoirs. Five major groups of reservoirs were identified by cluster analysis based on species associations. Of 29 reservoirs surveyed previously, 76% were classified into the same species associations from one survey to the next. When 19 environmental variables were used in canonical correlation analysis of the five reservoir groups, I found a general east‐to‐west separation of species associations by water quality and a northwest‐to‐southeast separation by surface elevation and growing season. A discriminant functions model based on a reduced set of nine environmental variables had an unbiased error rate of 18% for predicting the species association in unclassified reservoirs. A stratified sampling scheme based on the classification model decreased the variance of statewide electrofishing catch per effort up to 43% for bluegill Lepomis macrochirus and 23% for largemouth bass Micropterus salmoides over a simple random sample of reservoirs.