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Factors Effecting Reproductive Potential Relative to Body Size of Channel Catfish in three Northern Idaho Lakes. Kayla M. Griffin, Student of University of Idaho, Department of Fish and Wildlife, University of Idaho, Moscow, Idaho Little is known about the population dynamics of Ictalurus punctatus, more commonly known as the channel catfish. Within riverine environments, channel catfish have successfully established naturally reproducing populations. Populations living in lake environments have not however, and little is known about the factors that negatively affect natural reproduction. The goal of this

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Factors Effecting Reproductive Potential Relative to Body Size of Channel Catfish in three Northern Idaho Lakes.

1 | Griffin CHANNEL CATFISH REPRODUCTIVE POTENTIAL

Factors Effecting Reproductive Potential Relative to Body Size of Channel Catfish in three Northern Idaho Lakes.Kayla M. Griffin, Student of University of Idaho, Department of Fish and Wildlife, University of Idaho, Moscow, Idaho

Little is known about the population dynamics of Ictalurus punctatus, more commonly known as the channel catfish. Within riverine environments, channel catfish have successfully established naturally reproducing populations. Populations living in lake environments have not however, and little is known about the factors that negatively affect natural reproduction. The goal of this research was to determine the effects of fish diversity, surface area, and stocking rate on the reproductive potential as indexed by body size in age two, three, and four year old channel catfish within three lakes in northern Idaho. We determined that differences in fish diversity, surface area, and stocking rates do influence the body size and reproductive potential of channel catfish between lakes, but do not have as great of an influence on age classes within lakes. Future studies should investigate these factors as well as others, to further investigate the population dynamics of channel catfish.

The state of Idaho provides a variety of fishing opportunities to satisfy the diversity of fishermen found within the northwest. Though river systems seem to dominate the state, lakes and reservoirs stocked by state agencies provide easy fishing access for those who may not be the most experienced fishermen. These small lakes and reservoirs, often deemed Family Fishing Waters, are managed for the use of the public and provide many non-native sport fish species for anglers to catch. One of the most common species found within these reservoirs is the channel catfish (Ictalurus punctatus). Channel catfish are generally a bottom oriented, highly piscivorous fish native to eastern and central North America (Fishes of Idaho 2014). Channel catfish typically reach sexual maturity around the age of three, but sexual maturity is strongly influenced by biotic and abiotic factors (Davis 2009). Within river systems channel catfish have established healthy reproducing populations, but lake populations have not and must be continually stocked by managers to maintain population sizes. By understanding the factors that influence reproductive potential, managers can make informed management decisions to achieve and maintain naturally reproducing channel catfish populations within lake systems. Obtaining naturally reproducing populations would save agencies money and time by reducing the amount of fish grown in hatcheries for stocking every year. Channel catfish are a species of management concern for many agencies because they are one of the most heavily targeted fish species by anglers nationwide (USFW 2002). However, very little is known about the factors affecting the population dynamics of channel catfish populations. Stocking rates and management practices vary greatly between management agencies and between water bodies. To stock each lake appropriately, we must understand how channel catfish populations are influenced by lake specific environments. The stocking rate of a lake can greatly affect the body size of an individual. Over stocking can lead to stunted populations and under stocking can lead to small population sizes. The surface area of a lake can also have an influence on the body size of an individual within a population. The amount of habitat and nutrients available in a small surface area lake in comparison to a large surface area lake can vary greatly. The fish diversity found within a body of water is another factor that influences the body size of an individual. The amount of predator and competitor species coexisting within the lake can have a negative or positive influence on body size. The goal of this research was to determine the effects of fish diversity, surface area, and stocking rate on the reproductive potential as an index of body size in age two, three, and four year old channel catfish within a series of lakes in northern Idaho. This study was conducted under the assumption that body size of channel catfish is proportional to their reproductive potential. Based on this assumption, we hypothesized that a statistical difference would be detected in the body sizes of individuals within Hauser Lake, Rose Lake, and Jewel Lake due to variations in fish diversity, surface area, and stocking rates.STUDY AREAThe study area in the context of this study includes three lakes currently being stocked with channel catfish in northern Idaho. Hauser Lake, Rose Lake, and Jewel Lake were chosen due to their observed variability in surface area, fish diversity, and stocking rates. Hauser LakeHauser Lake is the largest of the three lakes, with a surface area of 223 hectares, and is located about 8 miles west of Post Falls, Idaho, near the Idaho-Washington border (Figure 1). Hauser Lake has an annual stocking rate of 23 channel catfish per hectare. There are thirteen different species of fish within this lake which include rainbow trout, cutthroat trout, largemouth bass, smallmouth bass, bullhead catfish, northern pike, tiger muskie, kokanee, crappie, yellow perch, pumpkinseed, bluegill, and channel catfish (Table 1). Rose LakeRose Lake is located 23 miles southeast of Coeur d Alene, Idaho and has a surface area of 122 hectares (Figure 1). It contains seven different species including largemouth bass, crappie, bluegill, yellow perch, bullhead catfish, pumpkinseed, and channel catfish. Rose Lake has an annual stocking rate of 27 channel catfish per hectare (Table 1). Jewel LakeJewel Lake is the smallest of the three lakes with a surface area of 12 hectares. It is located 19 miles southwest of Sandpoint, Idaho and contains four different species; rainbow trout, bluegill, yellow perch, and channel catfish (Figure 1). The annual stocking rate for Jewel Lake is 46 channel catfish per hectare (Table 1). METHODSLength and weight data were collected from channel catfish sampled with hoop nets in Hauser Lake, Rose Lake, and Jewel Lake in northern Idaho during 2011 and 2012. Using calcified structures taken from each fish, ages were assigned to all fish sampled using standardized fisheries aging techniques (Inland Fisheries Management 2010). The number of different species contained within each lake and surface area values were obtained through Idaho Fish and Game records available online (IDFG 2014). All three lakes were characterized by their surface area, fish diversity, and annual stocking rate. Differences between average body size for age classes two, three, and four were compared among all three lakes using 95% confidence intervals. These intervals were obtained through program R and were compared for overlap. Overlapping intervals were considered an indication of a non-significant difference between variables.ResultsHauser Lake contains the highest fish diversity, the largest surface area, and the lowest stocking rate of all three lakes. Rose Lake sits in the middle for all three categories and Jewel Lake contains the lowest fish diversity, the smallest surface area, and the highest stocking rate (Table 1). Confidence intervals were compared across lakes for each age class. Age 2 channel catfish confidence intervals showed overlap between Hauser Lake and Jewel Lake. The lower 95% confidence interval value was 283.72 for Hauser Lake. The upper 95% confidence interval value was 285.45 for Jewel Lake (Figure 2). These were the only overlapping intervals observed within the data. No overlap was observed in age 3 individuals in Hauser Lake, Jewel Lake, or Rose Lake (Figure 3). Age 4 individuals also showed no overlap in 95% confidence intervals between all three lakes (Figure 4). Overlapping confidence intervals suggest that there is no statistical difference between age 2 individuals found within Hauser Lake and Jewel Lake. However, the non-overlapping 95% confidence intervals observed between age 2 individuals in Rose Lake and age 3 and age 4 individuals in all three lakes, suggests that there is a statistical difference in body size between lakes for those age classes.Confidence intervals were also compared across all three ages within each lake. In Hauser Lake, overlap was observed between age 3 and age 4 confidence intervals. Age 2 individuals showed no overlap with age 3 and age 4 confidence interval values (Figure 5). Rose Lake also showed overlap between age 3 and age 4 individuals, but no overlap in age 2 individuals (Figure 6). Jewel Lake showed overlap in all three age classes (Figure 7). These results suggest that there is no statistical difference in body size for age 3 and age 4 individuals in Hauser Lake and Rose Lake, and for all age classes in Jewel Lake. Discussion The statistical differences observed across all lakes can be explained by the variation in fish diversity, surface area, and stocking rates between the three lakes. The populations within one lake are subject to different environmental and biotic factors than those individuals within another lake environment. Body sizes are therefore more likely to be statistically different due to differing environmental factors. The lack of statistical differences between age classes within lakes can also be explained by the variation in fish diversity, surface area, and stocking rates. Age classes within one lake are subject to the same environmental factors as the next age class and are therefore less likely to be statistically different due to similar environmental factors. Increased fish diversity within lakes provides predator species with multiple prey options and provides different food sources for adult channel catfish. The large spines of channel catfish will often discourage predators such as largemouth bass from consuming them and instead select for relatively spineless prey like bluegill (Sismour et al. 2013). Higher species diversity may therefore decrease predation on channel catfish once they achieve a larger body size. An abundance of different species can also mean more viable food sources for channel catfish. With a number of species competing for similar food resources, channel catfish growth may be reduced. As fish grow to larger sizes however, many species shift their diets and select new food sources. This is a common trait in channel catfish and large adult catfish will begin to consume larger insects and other fish species (Bailey and Harrison Jr. 1948). When food sources are abundant the amount of competition between channel catfish and other species decreases. This is because channel catfish utilize a much more diverse array of food resources in comparison to other omnivorous species like bluegill and yellow perch. Large surface areas provide fish with more potential habitats for spawning and predatory refuge. Channel catfish are cavity spawners and often need depressions under logs or banks to build adequate nesting sites. Lakes with large surface areas could provide higher quality spawning habitats and increase the success of natural spawning. In smaller lakes, like Rose Lake or Jewel Lake, natural spawning success could be increased by providing artificial spawning cavities for fish. Artificial spawning cavities placed in areas with protective cover would decrease predation on eggs and improve the success of natural spawning within lakes (Moy and Stickney 2011). Stocking rates can also greatly impact the growth and success of channel catfish populations. Highly productive lakes stocked with appropriate fish densities will maximize the growth of channel catfish to produce satisfactory fisheries (Michaletz 2008). Managers should fully understand the population dynamics and productivity of each lake to appropriately stock channel catfish. The factors affecting channel catfish growth are not only ecologically beneficial to management agencies but are also economically beneficial. By striving to achieve naturally reproducing populations for anglers to utilize, fishing license dollars could increase as catfish populations grow and with less need for stocking, agencies will spend less money on hatchery raised fish. In turn this will decrease costs to management agencies and increase money from fishing license sales as channel catfish fisheries improve. To achieve healthy, naturally reproducing populations of channel catfish within lake environments, managers must fully understand the ecology and population dynamics of the lake before making management decisions. Studies like ours can reveal important information about biotic relationships within lake environments and future studies should investigate these factors further. Due to limitations in our data collection process, depth data could not be obtained for this study. However, future studies should utilize factors such as depth, daily average temperature, and proportional size distribution to better understand relationships affecting channel catfish growth.

APPENDIXFigure 1 a) Map image of Hauser Lake located about 8 miles west of Post Falls, Idaho, near the Idaho-Washington border. b) Map image of Rose Lake located 23 miles south east of Coeur d Alene, Idaho. c) Map image of Jewel Lake located southwest of Sandpoint, Idaho.

Figure 2 Upper and lower confidence intervals centered on the mean confidence interval for age two channel catfish in Hauser Lake, Jewel Lake, and Rose Lake. The dashed lines are provided to easily see areas of overlap.

Figure 3 Upper and lower confidence intervals centered on the mean confidence interval for age three channel catfish in Hauser Lake, Jewel Lake, and Rose Lake. The dashed lines are provided to easily see areas of overlap.

Figure 4 Upper and lower confidence intervals centered on the mean confidence interval for age four channel catfish in Hauser Lake, Jewel Lake, and Rose Lake. The dashed lines are provided to easily see areas of overlap.

Figure 5 Upper and lower confidence intervals centered on the mean confidence interval for age two, age three, and age four channel catfish within Hauser Lake. The dashed lines are provided to easily see areas of overlap.

Figure 6 Upper and lower confidence intervals centered on the mean confidence interval for age two, age three, and age four channel catfish within Rose Lake. The dashed lines are provided to easily see areas of overlap.

Figure 7 Upper and lower confidence intervals centered on the mean confidence interval for age two, age three, and age four channel catfish within Jewel Lake. The dashed lines are provided to easily see areas of overlap.

Table 1 Surface area (ha), stocking rate (fish/ha), and total number of species (including Ictalurus punctatus) for Hauser Lake, Rose Lake, and Jewel Lake in northern Idaho.LakeSurface areaStocking rate# of species

Hauser2232313

Rose122277

Jewel12464

REFERENCESAmerican Fisheries Society Idaho Chapter. 2014. Fishes of Idaho. . Accessed 5 Nov 2014. Bailey, Reeve M. and Harry M. Harrison Jr. 1948. Food Habits of the Southern Channel Catfish (Ictalurus Lacustris Punctatus) in the Des Moines River, Iowa. Trasactions of the American Fisheries Society 75: 110-138.Davis, Kenneth B. 2009. Age at puberty of channel catfish, Ictalurus punctatus, controlled by thermoperiod. Aquaculture 292: 244-247.Hubert, W. A., and M. C. Quist, editors. 2010. Inland fisheries management in North America, 3rd edition. American Fisheries Society, Bethesda, Maryland. Idaho Fish and Game [IDFG]. 2014. Fish Stocking Information. Idaho Fish and Game. . Accessed 5 Nov 2014.Michaletz, Paul H. 2006. Prey resource use by bluegill and channel catfish in small impoundments. Fisheries Management and Ecology 13: 347-354.Michaletz, Paul H. 2008. Variable Responses of Channel Catfish Populations to Stocking Rate: Density-Dependent and Lake Productivity Effects. North American Journal of Fisheries Management 29: 177-188. Moy, Philip B. and Robert R. Stickney. 1987. Suspended Spawning Cans for Channel Catfish in Surface-Mine Lake. The Progressive Fish-Culturist 49: 76-77. Sismour, Edward N., Shelley C. Nellis, Scott H. Newton, D'arcy Mays, and Michael L. Fine. 2013. An Experimental Study of Consumption of Channel Catfish Ictalurus punctatus by Largemouth Bass Micropterus salmoides when Alternative Prey Are Available. Copeia 2013(2):277-283.U.S. Fish and Wildlife Service and Bureau of the Census [USFW]. 2002. 2001 national survey of fishing, hunting, and wildlife-associated recreation Washington, D.C.: U.S. Government Printing Office.