North American Journal of Fisheries Management 22:637±642, 2002 ᭧ Copyright by the American Fisheries Society 2002

Ecology of Larval White Bass in a Large Kansas Reservoir

MICHAEL C. QUIST,* CHRISTOPHER S. GUY, AND RANDALL J. BERNOT Kansas State University, Division of Biology, Kansas Cooperative Fish and Wildlife Research Unit,1 205 Leasure Hall, Manhattan, Kansas 66506, USA

JAMES L. STEPHEN Kansas Department of Wildlife and Parks, Box 1525, Emporia, Kansas 66801, USA

Abstract.ÐKnowledge of the early life history of sport ®sh is important for understanding re- cruitment and population dynamics. Unfortunately, little is known about the early life history of the white bass chrysops. Therefore, this study was conducted to describe the spatial and temporal distribution, age structure, growth, mortality, and food habits of larval white bass in a Kansas reservoir. Larval white bass and zooplankton were sampled weekly from March to July 1999 in Glen Elder Reservoir; 92% of these ®sh were sampled from the upper reservoir. The larval white bass varied in age from 3 to 35 d and grew approximately 0.32 mm/d. Cohort-speci®c instantaneous mortality rates varied from 0.02 to 0.15. Differential mortality among early- and late-spawned ®sh was not apparent. The white bass ®rst hatched during late April and continued hatching until late May. We estimated that most ®sh spawned during early and mid-May and that spawning activity was closely related to high reservoir in¯ows (10±25 m3/s). The diets of the larval white bass were dominated by adult copepods and Bosmina spp.; ®sh consumed adult copepods, Bosmina, and Diaphanosoma spp. in greater proportions than those available and avoided other prey taxa (e.g., spp. and rotifers).

The year-class strength of ®sh populations is distribution, age structure, growth, mortality, and often established during early life history stages food habits of larval white bass in a Kansas res- (Sammons and Bettoli 2000); thus, understanding ervoir. We also investigated the role of temperature the early life history of ®sh has been a central focus and reservoir in¯ow on the spawning activity of of basic and applied ®sheries research. A complete white bass. understanding of early ontogeny is especially im- portant for sport ®sh species, for which apparently Methods minor ¯uctuations in abiotic and biotic conditions This study was conducted on Glen Elder Res- can have a dramatic in¯uence on growth, survival, ervoir, a 5,093-ha reservoir on the Solomon River and subsequent recruitment to the ®shery. Unlike in Mitchell County, Kansas. Glen Elder dam was with many species (e.g., Microp- constructed in 1969 for ¯ood control; however, the terus salmoides), little is known about the ecology reservoir also provides municipal water, recrea- of larval white bass Morone chrysops in reservoir tional opportunities, and wildlife conservation ecosystems (Colvin 1993). White bass are abundant throughout the Mis- bene®ts. The primary sport ®sh species include souri, Mississippi, and Ohio river drainages (Col- white crappie Pomoxis annularis, channel cat®sh vin 1993). They are common in large rivers and Ictalurus punctatus, white bass, and walleye Sti- natural lakes and are often very abundant in res- zostedion vitreum. ervoir systems. Consequently, white bass provide Larval white bass were sampled weekly from important sport ®sheries and also play an impor- 24 sites located in four habitat types (i.e., dam, tant ecological role in piscivore ®sh communities. pelagic, littoral, and riverine) from March to July The objectives of this study were to describe the 1999 (Figure 1). The riverine sampling sites were in areas without detectable ¯ow. White bass were collected using paired bongo nets (0.5 m in di- * Corresponding author: [email protected] ameter, 1.5 m long, 500-␮m mesh) pushed from 1 The unit is jointly sponsored by Kansas State Uni- the bow of the boat at a depth of 0±0.5 m. In versity, the Kansas Department of Wildlife and Parks, addition, a meter net (1.0 m in diameter, 3 m long, the U.S. Geological Survey, Biological Resources Di- 500-␮m mesh) was towed at a depth of 0.5±1.5 m vision, and the Wildlife Management Institute. at all sites except the riverine sites (depths Ͻ2 m). Received December 19, 2000; accepted July 30, 2001 Fish collected with the meter net were included in

637 638 QUIST ET AL.

FIGURE 1.ÐLocations of sites sampled on Glen Elder Reservoir, Kansas, from March to July 1999. Numerical values in the legend represent the mean depth in meters (Ϯ SE) for each habitat type. growth analyses; however, only data from the bon- increment formation has not been assessed for go net samples were used to estimate density white bass; however, Secor et al. (1991) found that (number/100 m3). Nets were deployed for approx- the ®rst ring is deposited on the ®fth day after imately 5±10 min at a speed of 1.5 m/s. Sample hatching for . Therefore, ®sh age was volume was determined from ¯ow meters (General assumed to be the ring count plus 4 d. Hatch date Oceanics, Inc., model 2030R) ®xed to the mouth was estimated by subtracting age from the collec- of all nets. Ichthyoplankton samples were imme- tion date, and spawning date was determined by diately preserved in 90% ethanol (Stevenson and subtracting incubation time (3±4 d at 12±18ЊC) Campana 1992) and transported back to the lab- from hatch date. Temperature-speci®c incubation oratory for processing. rates were provided by McCormick (1978) and Larval white bass were identi®ed using keys Auer (1982). Food habits were determined for all provided by Auer (1982) and May and Gassaway sampled white bass by removing the digestive tract (1967). The total length of each ®sh was measured and examining the contents under both dissecting to the nearest 0.1 mm using an image analysis and compound microscopes. Prey items were iden- system. Sagittal otoliths were removed and mount- ti®ed to species for ®shes, to genus for Cladocera ed on glass slides using clear thermoplastic ce- and Copepoda (excluding nauplii), to family for ment. Age in days was determined following the Insecta, and to order for other prey taxa (e.g., Am- guidelines of Stevenson and Campana (1992). Al- though daily growth increments have not been val- phipoda). The length of all prey items was mea- idated for white bass, Secor and Dean (1989) and sured to the nearest 0.01 mm using an image anal- Secor et al. (1991) have validated the technique ysis system. for striped bass Morone saxatilis. Two independent Full water column samples were collected at counts of growth rings were made for each otolith each ichthyoplankton sampling site with a conical by one observer. If the counts differed by more plankton net (12 cm in diameter, 80-␮m mesh) and than two rings (Ͻ3% of the otoliths), the otolith immediately preserved in 70% ethanol to deter- was read once more by the observer. If the last mine the availability of zooplankton. Zooplankton count differed from the two previous counts, the were enumerated by counting all organisms in a otolith was discarded; otherwise, the modal age 5-mL subsample (Wetzel and Likens 1991). was used in our analyses. The timing of initial Lengths from each prey taxon were measured from ECOLOGY OF LARVAL WHITE BASS 639

20 individuals at each site using an ocular micro- TABLE 1.ÐMean density (number/100 m3) of larval meter. white bass collected from four habitat types in Glen Elder Water temperature and dissolved oxygen were Reservoir, Kansas, from March to July 1999. Numbers in parenthesis represent one standard error. measured weekly from four ®xed sites using a mul- ti-probe (Yellow Springs Instruments, Inc., model Habitat type 85). Reservoir in¯ow information was obtained Date Dam Littoral Pelagic Riverine from U.S. Geological Survey gauging stations. Mar 17 0 0 0 0 The two gauging stations were located upstream Apr 1 0 0 0 0 of the riverine sampling sites in North Fork and Apr 7 0 0 0 0 South Fork Solomon River. Apr 14 0 0 0 0 Apr 21 0 0 0 0 Repeated-measures analysis of variance (AN- Apr 28 0 0 0 0 OVA; Milliken and Johnson 1992; Littell et al. May 7 0 0 0 0 1996) was used to determine whether the density May 12 0 0 0 0 May 18 1.6 (1.6) 0 0 27.8 (8.5) of larval white bass differed over spatial and tem- May 25 0 0 0.4 (0.3) 70.1 (8.1) poral scales. Growth rates were estimated using a Jun 2 0 0 0.4 (0.3) 17.5 (8.9) linear growth model. When otoliths were damaged Jun 8 0 0.2 (0.2) 0 3.1 (3.1) or lost during processing, age was estimated using Jul 30 0 0 0 1.7 (0.8) the growth model. Ninety-two percent of the white bass were sampled from the riverine portion of the reservoir; therefore, we restricted our analysis of bass densities at dam, littoral, and pelagic sites environmental spawning cues, mortality, and food were not signi®cantly different (P Ͼ 0.50). habits to individuals collected in the riverine area. The larval white bass varied in age from 3 to In addition, few ®sh (25.2%) contained prey items 35 d, although 55% were less than 10 d old. Fish in their digestive tracts; therefore, analysis of food grew at a rate of 0.32 mm/d (length [mm] ϭ 3.700 habits was limited to ®sh collected on May 25. ϩ 0.320 ϫ age [d]; r2 ϭ 0.93, P ϭ 0.0001). In- Larval white bass were assigned to weekly cohorts stantaneous mortality rates were estimated for ®ve (7 d; Michaletz 1997) beginning with cohort 0, weekly cohorts (Figure 2). Values of Z varied from which represented ®sh that were hatched during 0.02 to 0.15, averaging 0.09 (SE ϭ 0.02). Unfor- the week of April 18. Instantaneous daily mortality tunately, we only collected enough larval white rates (Z) were computed for each weekly cohort bass to estimate mortality on ®ve sampling dates, by regressing the natural logarithm of ®sh abun- and individuals were generally absent from our dance in a cohort against successive collection samples once they reached 15 mm. Therefore, dates (Ricker 1975; Stevenson and Campana 1992; mortality rates for cohorts 0 (Z ϭ 0.06), 1 (Z ϭ Michaletz 1997). The proportional use of zoo- 0.02), and 3 (Z ϭ 0.15) were based on two sam- plankton prey was assessed using Ivlev's electivity pling dates while those for cohorts 2 (Z ϭ 0.11) index (Ivlev 1961). Differences between the mean and4(Z ϭ 0.15) were based on three sampling lengths of the zooplankton taxa that were available dates. and those that were utilized were compared by White bass in the riverine area of Glen Elder means of t-tests with a Bonferroni adjustment for Reservoir ®rst hatched on April 21 (Figure 3), multiple tests (Kuehl 1994). when water temperatures averaged 14ЊC, and con- tinued hatching until the end of May. Peak hatches were observed during early and mid-May, fol- Results lowed by a smaller one in late May. We estimated A total of 267 larval white bass varying in length that most white bass spawned on May 5 and May from 3.0 to 36.0 mm (mean Ϯ SE, 7.3 Ϯ 0.18) 19 and that hatching was closely related to abrupt were collected. Larval white bass were ®rst col- rises in reservoir in¯ow once water temperatures lected on May 18 and remained in the ichthyo- exceeded 12ЊC (Figure 3). plankton until the end of June. Densities were over The diets of larval white bass consisted pri- 80 times higher in the upper reservoir (i.e., the marily of adult copepods, Daphnia galeata, and riverine sites) than at sites located in littoral, pe- Bosmina spp. (Figure 4A). In addition, amphipods, lagic, and dam habitats (Table 1). Consequently, chironomids, and spp. were occasion- densities were signi®cantly higher (P Ͻ 0.0001) ally consumed (frequency of occurrence, Ͻ1%). in the riverine area than in the other habitats on Larval gizzard shad Dorosoma cepedianum were all dates when ®sh were collected. Larval white the only ®sh consumed, and although white bass 640 QUIST ET AL.

FIGURE 3.ÐRelative frequencies of the back-calcu- lated hatch dates of white bass (circles and solid line; left scale), mean water temperature (triangles; outer right scale), and mean reservoir in¯ow (dashed line; inner right scale) in the riverine habitat of Glen Elder Res- ervoir, Kansas, March to July 1999.

aptomus, and Diaphanosoma, whereas the Cyclops and Bosmina consumed were slightly larger than those available.

FIGURE 2.ÐMean density of larval white bass sampled from the riverine habitat of Glen Elder Reservoir, Kan- sas, from March to July 1999. Cohorts represent weekly cohorts (7-d) beginning with the week of April 18, 1999. as small as 11.8 mm consumed gizzard shad, the latter were present in less than 2% of the ®sh ex- amined. Most white bass consumed only one or two prey items; however, the largest ®sh (36 mm) consumed several chironomids, gizzard shad, Daphnia pulex, and an amphipod. Adult copepods and Bosmina were the dominant organisms con- sumed by larval white bass (frequency by number, Ͼ20%; Figure 4A). Cyclops spp., Diaptomus spp., Diaphanosoma spp., and Bosmina were utilized in FIGURE 4.Ð(A) Relative frequencies and (B) mean higher proportions than those available whereas lengths of the zooplankton that were available in the copepod nauplii, D. galeata, D. pulex, and rotifers environment and those that were observed in the diets were avoided. Many of these trends are explained of white bass sampled on May 25, 1999, from the riv- erine habitat of Glen Elder Reservoir, Kansas. Numbers by the length of prey taxa. For example, copepod above the vertical bars in A are Ivlev's selectivity index nauplii and rotifers were generally less than 0.2 values. The bars in B indicate the minimum and maxi- mm and were consumed infrequently (Figure 4B). mum lengths, with different letters denoting a signi®cant White bass consumed the smallest D. pulex, Di- difference in length within a taxon (P Յ 0.05). ECOLOGY OF LARVAL WHITE BASS 641

Discussion The food habits of larval white bass have been extensively studied. Ruelle (1971) found that the Several researchers have documented that white diet of white bass 4±11 mm long in Lewis and bass spawn in the tributaries of lakes and reser- Clark Lake, South Dakota, was dominated by adult voirs (Dietz 1967; Myhr 1971; Moen and Dewey copepods (Cyclops and Diaptomus) and that Daph- 1980; Colvin 1993). Although most white bass in nia were not important prey items for any of the Glen Elder Reservoir were produced in the riverine ®sh examined. Conversely, Priegel (1970) found areas, some spawning activity occurred throughout that cladocerans (Leptodora and Daphnia) and co- the reservoir. The speci®c spawning areas in the pepods (Cyclops and Diaptomus) were the most upper reservoir are unknown; however, the capture important prey for white bass 18±25 mm long in of yolk sac fry and older ®sh on all dates suggests Lake Winnebago, Wisconsin. In addition, Priegel that white bass spawned throughout the North and found that zooplankton continued to dominate South Forks of the Solomon River. In addition, white bass diets throughout the ®rst year of life. most ®sh were sampled in the North Fork, which Similar results have been reported by Bonn (1952) generally contributes more discharge to Glen Elder and Voigtlander and Wissing (1974). Copepods Reservoir than the South Fork. and cladocerans were the dominant prey for larval White bass generally begin spawning at water white bass in Glen Elder Reservoir, suggesting the temperatures of 14±20ЊC (Colvin 1993) but may importance of crustacean zooplankton during early spawn at temperatures as low as 10ЊC (Storck et life history. In addition, white bass avoided prey al. 1982). White bass spawned at temperatures of items less than 0.3 mm and selected prey between 14±22 C in Glen Elder Reservoir, and spawning Њ 0.4 and 0.8 mm. Although white bass as small as activity was closely related to peak reservoir in- 12.0 mm exhibited piscivory, ®sh are generally not 3 ¯ows of 10±25 m /s. Storck et al. (1982) found an important component of white bass diets until that white bass spawned in the Kaskaskia River they reach approximately 40 mm (Ruelle 1971; during decreasing discharge. However, other au- Saul et al. 1985; Colvin 1993). thors have reported that extremely high discharge Although this study was conducted during only or reservoir in¯ow and sudden declines in water one spawning season, our results provide addi- temperature may temporarily halt spawning activ- tional information on the ecology of larval white ity (Webb and Moss 1968; Myhr 1971; Starnes et bass in a reservoir system. Future research should al. 1983). Therefore, high ¯ow events or delayed focus on whether these results are consistent warming during the spawning season may inhibit among years and reservoirs. Furthermore, little is white bass spawning activity in reservoirs. known about the factors that in¯uence the recruit- Few studies have determined the growth rates ment of white bass. Investigations of their entire of larval white bass. Kindschi et al. (1979) found ®rst year would greatly enhance our understanding that growth rates in a small Kentucky lake aver- of white bass recruitment and population dynam- aged 0.08 mm/d during the ®rst 2 months posthatch ics. and increased to 0.56 mm/d thereafter. White bass in Glen Elder Reservoir grew substantially faster Acknowledgments than those reported by Kindschi et al. (1979). We used changes in mean length through time to es- We thank Joel Delp and Justin Hart for their timate growth rates; therefore, the discrepancy assistance in the ®eld and laboratory. We also likely re¯ects differences in methodology, espe- thank Kyle Austin and the staff at Glen Elder State cially if there are length-related gear biases. We Park for their assistance with this and other studies are unaware of any previous studies that reported on Glen Elder Reservoir. Barbara Adams, Phillip mortality rates for larval white bass. Our cohort- Bettoli, Jeff Boxrucker, Travis Horton, and Paul speci®c mortality rates based on two sampling Michaletz provided suggestions that greatly im- dates should be interpreted with caution; however, proved the manuscript. Funding was provided by the mortality rates observed during this study are the Kansas Department of Wildlife and Parks similar to those reported for other closely related through the Federal Aid in Sport®sh Restoration species. For example, Dey (1981) found that Z Act, project F-45-R2, and Kansas State University. varied from 0.16 to 0.19 for larval striped bass in the Hudson River estuary. Similar results have References been reported by Polgar (1977) and Turner and Auer, N. A. 1982. Identi®cation of larval ®shes of the Chadwick (1972). Great Lakes basin with emphasis on the Lake Mich- 642 QUIST ET AL.

igan drainage. Great Lakes Fishery Commission, on assessing the effects of powerplant-induced mor- Special Publication 82-3, Ann Arbor, Michigan. tality on ®sh populations. Pergamon, New York. Bonn, E. W. 1952. The food and growth rate of young Priegel, G. R. 1970. Food of the white bass Roccus white bass (Morone chrysops) in Lake Texoma. chrysops, in Lake Winnebago, Wisconsin. Trans- Transactions of the American Fisheries Society 82: actions of the American Fisheries Society 99:440± 213±221. 443. Colvin, M. A. 1993. Ecology and management of white Ricker, W. E. 1975. Computation and interpretation of bass: a literature review. Missouri Department of biological statistics of ®sh populations. Fisheries Conservation, DingellϪJohnson Project F-1-R-42, Research Board of Canada Bulletin 191. Study I-31, Job 1, Final Report, Jefferson City. Ruelle, R. 1971. Factors in¯uencing growth of white Dey, W. P. 1981. Mortality and growth of young-of-the- bass in Lewis and Clark Lake. Pages 411±423 in G. E. Hall, editor. Reservoir ®sheries and limnol- year striped bass in the Hudson River estuary. ogy. American Fisheries Society, Special Publica- Transactions of the American Fisheries Society 110: tion 8, Bethesda, Maryland. 151±157. Sammons, S. M., and P. W. Bettoli. 2000. Population Dietz, E. M. 1967. Fisheries investigations and surveys dynamics of a reservoir sport ®sh community in of the waters of region 5-A: experimental arti®cial response to hydrology. North American Journal of propagation of white bass (Roccus chrysops). Texas Fisheries Management 20:791±800. Parks and Wildlife Department, Federal Aid in Saul, B. M., J. L. Wilson, D. C. Peterson, and J. M. Sport®sh Restoration, Project F-9-R-14, Job E-9, Richardson. 1985. Food habits and growth of Completion Report, Austin. young-of-year white bass in two Tennessee reser- Ivlev, V. S. 1961. Experimental ecology of the feeding voirs. Proceedings of the Annual Conference South- of ®shes. Yale University Press, New Haven, Con- eastern Association of Fish and Wildlife Agencies necticut. 36(1982):115±124. Kindschi, G. A., R. D. Hoyt, and G. J. Overmann. 1979. Secor, D. H., and J. M. Dean. 1989. Somatic growth Notes on the larval life history of ®shes in a small effects on the otolith-size relationship in young ¯ood control lake in Kentucky. Pages 139±166 in pond-reared striped bass, Morone saxatilis (Wal- R. D. Hoyt, editor. Proceedings of the 3rd sympo- baum). Canadian Journal of Fisheries and Aquatic sium on larval ®sh. Western Kentucky University, Sciences 46:113±121. Bowling Green. Secor, D. H., M. G. White, and J. M. Dean. 1991. Im- Kuehl, R. O. 1994. Statistical principles of research de- mersion marking of larval and juvenile hatchery-pro- sign and analysis. Wadsworth, Belmont, California. duced striped bass with oxytetracycline. Transactions Littell, R. C., G. A. Milliken, W. W. Stroup, and R. D. of the American Fisheries Society 120:261±266. Wol®nger. 1996. SAS system for mixed models. Starnes, L. B., P. A. Hackney, and T. A. McDonough. SAS Institute, Cary, North Carolina. 1983. Larval ®sh transport: a case study of white bass. Transactions of the American Fisheries So- May, E. B., and C. R. Gassaway. 1967. A preliminary ciety 112:390±397. key to the identi®cation of larval ®shes of Oklahoma, Stevenson, D. K., and S. E. Campana, editors. 1992. with particular reference to Canton Reservoir, in- Otolith microstructure and analysis. Canadian Spe- cluding a selected bibliography. Oklahoma Fisheries cial Publication of Fisheries and Aquatic Sciences Research Laboratory, Contribution 164, Norman. 117. McCormick, J. H. 1978. Effects of temperature on Storck, T., B. Dimond, and S. Miller. 1982. Determi- hatching success and survival of larvae in the white nation of factors affecting the survival of larval ®sh bass. Progressive Fish-Culturist 40:133±137. and an evaluation of their utilization as food by Michaletz, P. H. 1997. Factors affecting abundance, predators. Illinois Natural History Survey, Federal growth, and survival of age-0 gizzard shad. Trans- Aid in Sport®sh Restoration, Project F-31-R, Final actions of the American Fisheries Society 126:84± Report, Urbana. 100. Turner, J. L., and H. K. Chadwick. 1972. Distribution Milliken, G. A., and D. A. Johnson. 1992. Analysis of and abundance of young-of-the-year striped bass, messy data, volume 1: designed experiments. Chap- Morone saxatilis, in relation to river ¯ow in the man and Hall, New York. SacramentoϪSan Joaquin estuary. Transactions of Moen, T. E., and M. R. Dewey. 1980. Growth and year- the American Fisheries Society 101:442±452. class composition of white bass (Morone chrysops) Voigtlander, C. W., and T. E. Wissing. 1974. Food habits in Degray Lake, Arkansas. Arkansas Academy of of young and yearling white bass, Morone chrysops (Ra®nesque), in Lake Mendota, Wisconsin. Trans- Science Proceedings 34:125±126. actions of the American Fisheries Society 103:25± Myhr, A. I., III. 1971. A study of the white bass, Morone 31. chrysops (Ra®nesque), in Dale Hollow Reservoir, Webb, J. F., and D. D. Moss. 1968. Spawning behavior TennesseeϪKentucky. Master's thesis. Tennessee and age and growth of white bass in Center Hill Technological University, Cookeville. Reservoir, Tennessee. Proceedings of the Annual Polgar, T. T. 1977. Striped bass ichthyoplankton abun- Conference Southeastern Association of Game and dance, mortality, and production estimation for the Fish Commissioners 21(1967):343±357. Potomac River population. Pages 110±126 in W. Wetzel, R. G., and G. E. Likens. 1991. Limnological Van Winkle, editor. Proceedings of the conference analyses, 2nd edition. Springer-Verlag, New York.