Limnological Characteristics of Ontario Lakes in Relation to Associations of Walleye (Stizostedion vitreum vitreum), Northern Pike (Esox lucius), Lake Trout (Salvelinus namaycush), and Smallmouth Bass (Micropterus dolomieui)

Johnson, M. G.; Leach, J. H.; Minns, Charles K.; Olver, C. H.

doi:10.1139/f77-224

Cited by 69 publications

(45 citation statements)

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“…In temperate North America, variables describing biotic, abiotic and lake isolation conditions have been frequently identified as important factors shaping fish species richness and community composition (e.g., Johnson et al 1977;Harvey 1975Harvey , 1978Harvey , 1981Tonn and Magnuson 1982;Eadie et al 1986;Harvey 1989, 1993;Jackson et al 1992;Matthews and Robison 1998). The results from our study indicate a strong association between fish community composition and factors related to lake morphology, but not water chemistry, for all study lakes.…”

Section: Discussionsupporting

confidence: 46%

Spatial isolation and fish communities in drainage lakes

2001

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Fifty-two drainage lakes, located in south-central Ontario, Canada, were examined to study the association of isolation- and environment-related factors with fish community composition. Eight quantitative measures of lake isolation were examined, each of which incorporated potential ecological "challenges" that a fish encounters when moving between lakes. A Procrustean approach was employed to assess the degree of concordance between fish assemblage structure, measures of lake isolation and environmental conditions (i.e., lake morphology and water chemistry). Our results revealed a high concordance between patterns in fish community composition and lake isolation and lake morphology at the watershed scale, suggesting that insular and habitat-related factors influence the structure of fish communities. At the scale of the individual lake, this relationship varied greatly, ranging from a strong match of community composition with both spatial and abiotic conditions to communities exhibiting weak association with these conditions. Furthermore, we showed that alternative measures of lake isolation provide additional insight into potential factors shaping patterns in fish community composition; information not provided using straight-line distances between lakes. Finally, the statistical methodology outlined in this paper provides a robust technique for assessing both the overall association between multivariate data matrices (i.e., landscape or regional scale), as well as facilitating the examination of smaller-scale relationships of individual observations (i.e., local scale).

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Section: Discussionsupporting

confidence: 46%

Spatial isolation and fish communities in drainage lakes

2001

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“…The assemblage definition based on the dominance of species (Echelle et al, 1972;Johnson et al, 1977;Ryder and Kerr, 1978;Matthews, 1998) was supported by the data from this study as well as others conducted in the European temperate zone (Kruk, 2007a;Kruk et al, 2007). We could not find any significant impact of impoudment on differentiation and numbers of assemblages except for the clearly separated assemblage distingushed on the basis of samples collected in the Furnas Stream, but only from samples collected in the post-impoudment period.…”

Section: Discussionsupporting

confidence: 86%

Impacts of a reservoir on fish assemblages of small tributaries of the Corumbá river, Brazil

Penczak

Agostinho

Gomes

et al. 2008

River Research & Apps

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Fish community surveys were conducted in five tributaries of the Corumbá River before and after damming. Electrofishing samples were collected monthly in the pre-impoundment period (March 1996 to August 1996 and 15 in the post-impoundment period (September 1996 to February 1999. A self-organizing map (SOM, an Artificial Neural Network algorithm) was used to represent the patterns of fish assemblages. Samples collected in both the pre-and post-impoundment periods were randomly dispersed on the SOM, and, therefore, a clear and significant pattern of separation between samples collected during these two time periods was not found. Mean and maximum water depth, which is correlated with ground water level, did not significantly separate the pre-and post-impoundment samples. However, we found significant differences between the two periods for water temperature, pH, conductivity, DO and current velocity, but abundances of fish species (summarized in the clusters identified by the SOM) did not differ significantly. Instead, the validity of the clusters distinguished by the SOM was confirmed by significant differences in some biotic variables: species richness, equitability and log transformed total abundance. Indicator species values identified the most preferred cluster (and respective complex of environmental factors) for a given species. Only one cluster did not contain any significant species indicator values, but it was dominated by samples from the Furnas Stream, which was the only effluent that could be entered by fish from the main river channel after the damming owing to its location below the dam, which has no fish ladder.

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“…In contrast to numerous published lake classifications (e.g. HAEMPEL, 1930;BAUCH, 1963;JOHNSON et al, 1977;TONN and MAGNUSSON, 1982;DOLMAN, 1990;SCHUPP, 1992;SPINDLER, 1997;ARGILIER et al, 2002a, b;TAMMI et al, 2002;MEHNER et al, 2005), which are based on the recent fish communities, we used the LFI = Lake type specific fish community-index; range = total number of lake groups in which a given species occurs; pi= occurrence probability of a fish species in one lake group.…”

Section: Discussionmentioning

confidence: 82%

“…For example, TONN and MAGNUSSON (1982) categorized Wisconsin lakes according to the number of fish taxa present. JOHNSON et al (1977) classified 2,500 Ontario lakes based on the combination of four major recreational fishes present in each lake and found that seven limnological factors predicted the lake type in which each species combination occurred. For Texas reservoirs DOLMAN (1990) used cluster analysis revealing five different groups based on species associations.…”

Section: Introductionmentioning

confidence: 99%

Development of a Fish Based Lake Typology for Natural Austrian Lakes >50 ha Based on the Reconstructed Historical Fish Communities

Gassner¹,

Wanzenböck

Zick³

et al. 2005

International Review of Hydrobiology

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Based on the reconstructed native fish communities all natural Austrian lakes >50 ha (n = 43) were classified into four groups using cluster analysis methods. Sentinel species (i.e. species with highest discriminating value for lake types and characteristic for a specific lake group) and type specific fish species (accompanying species with additional value for characterising lake groups) were defined by a newly developed index and by similarity analysis. The first group included 16 lakes of high altitude, small surface area and low fish species number with arctic char as a sentinel species. The second group (n = 10) was characterized by intermediate altitude, large surface area and high maximum water depth with the minnow as sentinel species. The third group contained 14 lakes with low maximum water depths and a long retention time. For this group the bleak was found as a sentinel species. The lakes of the eastern part of Austria represented the last group (n = 3) and were characterized by low altitude and very shallow water depth with pike-perch as a sentinel species.

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Limnological Characteristics of Ontario Lakes in Relation to Associations of Walleye (Stizostedion vitreum vitreum), Northern Pike (Esox lucius), Lake Trout (Salvelinus namaycush), and Smallmouth Bass (Micropterus dolomieui)

Cited by 69 publications

References 0 publications

Spatial isolation and fish communities in drainage lakes

Spatial isolation and fish communities in drainage lakes

Impacts of a reservoir on fish assemblages of small tributaries of the Corumbá river, Brazil

Development of a Fish Based Lake Typology for Natural Austrian Lakes >50 ha Based on the Reconstructed Historical Fish Communities

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