White bass (-w) and walleye (m *) coexist in several of the large glacial lakes in eastern South Dakota. We collected age-0 white bass and walleye in Lake Poinsett monthly from July through September of 1996 to assess the extent of diet overlap using Schoener's index (Cw). Age-0 white bass increased from a mean length of 5 1 mm in July to 13 1 mm in September, while walleyes grew from 79 to 134 mm during the same period. Both species initially fed on zooplankton in July; however, diets diverged in later samples. Age-0 white bass primarily consumed zooplankton through September; prey fishes constituted a progressively greater proportion (by number) of age-0 walleye diets. Benthic macroinvertebrates did not make up a substantial portion of the diet for either fish species. Thus, diet overlap between age-0 white bass and age-0 walleye was initially high in July (Cq = 69), but declined through September (Cw = 36).
Age-0 white bass (Morone chrvso~s) catch per unit effort (CPUE) in standardized seine samples from 1983 to 1995 was correlated with environmental data in the four South Dakota Missouri River reservoirs (Lakes Oahe, Sharpe, Francis Case, and Lewis and Clark). Environmental parameters that were sigmficantly (Ps0.05) correlated with CPUE varied among reservoirs. In Lake Oahe, age-0 abundance was higher in years with high flushing, low discharge fiom its upstream dam, and wanner air temperature during June and July. In Lake Sharpe, age-0 abundance was higher in years with cooler air temperature during January, April, and May, and less discharge and lower inflow during July. In Lake Francis Case, age-0 abundance was higher in years with higher spring precipitation, evaporation and temperature, and in years with greater decline in elevation from May to July. In Lewis and Clark Lake, age-0 abundance was higher in years with high spring and annual inflow, high reservoir elevation in March and elevation increase from April to May, and increased annual storage. Multiple regression models were developed for each of the four reservoirs with age-0 whlte bass CPUE as the dependent variable; coefficients of determination ranged from 0.90 to 0.94. Although the relations we observed were correlations and not necessarily cause and effect, the results of t h~s study provide insights into white bass biology in the Missouri h v e r reservoirs.
Biotelemetry was used to track daily and monthly distributions of white bass (Morone chrysops) in Lake Poinsett, a South Dakota glacial lake. Ultrasonic transmitters were implanted into 30 adult white bass (332-450 mm, total length) . Distributions were quantified using depth and distance from shore at fish location. Fish distance from shore was significantly different among dates and diel periods (P<0.05), and the interaction term was also significant. White bass in Lake Poinsett were offshore during the summer and winter. During the spring and fall, white bass were near shore in shallow waters, which may be related to spawning and feeding activities.White bass tended to be nearer the shore during the evening crepuscular period across seasons. Significant (P3.05) but weak (E0.50) correlations were found between white bass distance from shore and environmental parameters. Temperature, cloud cover, precipitation, and moon phase were significant contributors to multiple regression models, but no model explained more than 26% of the white bass distribution.
We compiled y‐intercept values for the body length–scale radius relationship for 94 population samples of white bass Morone chrysops from 16 states. Various measures of central tendency ranged from 38.0 to 39.5 mm. Based on a precedent for rounding to the nearest 5 mm, we recommend the use of 40 mm as a standard y‐intercept value when the Fraser–Lee method is used to back‐calculate length at age for white bass.
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