lake owen walleye and bass update bayfield county, wi...lake owen is a low productivity lake that...
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Lake Owen Walleye and Bass Update
Bayfield County, WI
WIBIC: 2900200
Author with Lake Owen walleye, 2014. Photo by Scott Toshner
Kirk Olson
Fisheries Technician – LTE
Brule Fisheries Management Team
Wisconsin Department of Natural Resources
April, 2015
Executive Summary
Lake Owen is a low productivity lake that supports a popular smallmouth bass, largemouth bass and
walleye fishery. Since 1988, walleye abundance has declined while largemouth bass abundance has
increased in Lake Owen. This shift may be the result of overexploitation of walleye, negative interactions
between walleye and largemouth bass, or changes in habitat conditions (e.g. temperature, productivity).
Since the last fisheries report (Toshner, 2008), several fisheries surveys have been completed including a
mark-recapture walleye population estimate (2013), annual fall juvenile walleye recruitment surveys and
late spring stocking success and bass relative abundance surveys.
Concerns over Lake Owen’s shifting gamefish community have resulted in several changes to
fisheries management in Lake Owen. Between 2009 and 2011, regulations intended to reduce harvest of
walleye were implemented, minimum length limits for smallmouth and largemouth bass were removed
and stocking density of large fingerling walleye was increased. In addition, the model used to assign
walleye harvest quotas was changed to more accurately reflect the recruitment status of Lake Owen’s
walleye population. This resulted in reduced harvest quotas in years when the model was used to calculate
safe harvest levels.
Since these changes have been implemented, modest changes to the gamefish community have
occurred. In 2013 and 2014, largemouth bass abundance declined and recruitment of age-1 walleye
increased. However, overall walleye density did not increase from 2007.
Our results indicate that increased stocking of large fingerling walleye had limited impact on
walleye abundance. In 2013, only 8% of the adult population could be attributed to stocking efforts.
Additionally, we did not detect a significant increase in juvenile recruitment in years when stocking
occurred. Lake Owen’s oligotrophic nature and abundance of predators may be limiting the success of
stocking.
Although changes in harvest quotas and angling regulations potentially influenced exploitation of
walleye, smallmouth bass and largemouth bass, we were unable to assess the impact of these changes
because the most recent creel occurred in 2007. Similarly, we could not attribute recent changes in the
gamefish community to regulation changes without estimates of exploitation or incorporation of a
reference lake in our analysis to account for environmental variability. Data are currently being collected
that will provide reference lakes to compare to Lake Owen, results of these will be available in 2019.
Our management recommendations are: 1) Increase walleye abundance to the ceded territory
large stocked lake average of 2.3 adults/acre from 1.2 adults/acre found in the 2007 Lake Owen survey by
2019 through maintaining conservative regulations established in 2011 and by stocking of large walleye
fingerling, 2) cease stocking activities after the next walleye population assessment in 2019 if stocked fish
do not contribute at least 20%, on average, to each stocked cohort between age 4 and 10 or if the mean
cost per stocked age 4 and 5 recruit is greater than $250, 3) manage largemouth bass and smallmouth bass
separately and decrease largemouth bass abundance from 17.5 fish/mile to 1.2 fish/mile by 2019 , 4)
carry out a creel survey in tandem with the 2019 walleye population assessment to determine exploitation
of walleye, smallmouth bass and largemouth bass.
Introduction
Lake Owen is a deep, oligotrophic drainage lake located at the headwaters of Long lake Branch in
southern Bayfield County, WI. It has a surface area of 1,323 acres, mean depth of 27 feet and maximum
depth of 95 feet. Lake Owen supports a diverse fish community and a popular walleye (Sander vitreus),
smallmouth bass (Micropterus dolomieui) and largemouth bass (Micropterus salmonides) fishery (Scholl
1996, Toshner 2009).
A 2007 assessment of the lakes fishery revealed that abundance of walleye had declined while
largemouth bass densities increased (Toshner 2009). This caused concern that a combination of
exploitation, changing habitat and negative interactions between walleye and largemouth bass were
resulting in a shift toward a gamefish community dominated by Centrarchids (Toshner 2009). To improve
Lake Owen’s walleye fishery, several changes in fisheries management have occurred since the last
fisheries assessment.
Between 2009 and 2013, large fingerling walleye (4.6 -7.0 in) were stocked at an average rate of
8.4 fish/acre, a significant increase in stocking density from previous years. Earlier stocking of walleye
fry, fingerling (1.5 - 4.0 in) and large fingerling at low rates were largely unsuccessful in Lake Owen
(Scholl 1996, Toshner 2009). It was expected that increased survival experienced by large fingerling
walleye stocking (e.g. Kampa and Hatzenbeler 2009) would result in increased walleye recruitment.
Along with stocking efforts, walleye minimum length limits were increased from 15 in to 18 in
and bag limits were decreased from 5 to 3 in 2011, though bag limits after adjustment for tribal harvest
remained at 2. Walleye exploitation in 2007-2008 was 45%, exceeding the maximum harvest for lakes in
the ceded territory of 35%, recommended by Staggs et al. (1990). Increased minimum length limits were
intended to reduce overall harvest and protect spawning female walleye, improving natural recruitment
(Toshner 2009). Concurrent with walleye regulation changes, minimum length limits were removed for
smallmouth and largemouth bass and anglers were encouraged to harvest largemouth bass. The intention
of this change was to reduce largemouth bass abundance and possible negative interactions with walleye
(Toshner 2009).
The purpose of this report is to summarize trends in abundance and population structure of
walleye and bass (smallmouth and largemouth) over the past 25 years and to evaluate the effectiveness of
management activities since 2009.
Methods
Adult walleye abundance was estimated in 1988, 1994, 1999, 2001, 2003, 2007 and 2013 using
standardized mark-recapture techniques described by Cichosz (2014). Spawning walleye were captured
shortly after spring ice-out using fyke nets in 1988, 1994, 2007 and 2013 and by AC electrofishers in
1999, 2001 and 2003. All walleye captured were measured to the nearest 0.1in and sex was determined
for mature fish. Adult walleye (sexually mature or of unknown sex and ≥ 15”) were marked with a fin
clip. One to two days after marking, the entire shoreline was electrofished in one night and captured
walleye were measured and checked for marks. Adult walleye abundance was estimated using the
Chapman modification of the Peterson Estimator:
𝑁𝑁 =(𝑀𝑀 + 1)(𝐶𝐶 + 1)
(𝑅𝑅 + 1)− 1
with variance estimated by the equation:
𝑉𝑉(𝑁𝑁) =(𝑀𝑀 + 1)(𝐶𝐶 + 1)(𝑀𝑀 − 𝑅𝑅)(𝐶𝐶 − 𝑅𝑅)
(𝑅𝑅 + 1)2(𝑅𝑅 + 2)− 1
where N is the estimated abundance, M is the total number of marked fish, C is the total number of fish
captured during the recapture period, R is the number of marked fish captured during the recapture period
and 𝑉𝑉(𝑁𝑁) is the variance. Walleye densities were compared to the mean density for lakes in northwestern
Wisconsin (Bayfield, Douglas, Washburn, Burnett, and Sawyer Counties) sustained by natural
reproduction or stocking. Simple linear regression was used to test for trends in abundance (logx
transformed) over time.
Walleye spines were subsampled from each 0.5-in length group during spring netting or
electrofishing in 1988, 1994, 2007 and 2013. Spines were cross sectioned and viewed at 100X
magnification to determine age (Margenau 1982). A length-age key was developed following the methods
outlined by Isely and Grabowski (2007) allowing an estimate of the age distribution for the entire sample.
Growth of male and female walleye was modeled separately using the von Bertlanffy growth equation:
𝑙𝑙𝑡𝑡 = 𝐿𝐿∞(1− 𝑒𝑒−𝐾𝐾(𝑡𝑡−𝑡𝑡0))
where 𝑙𝑙𝑡𝑡 is length at time 𝑡𝑡, 𝐿𝐿∞ is asymptotic length, 𝐾𝐾 is a growth parameter and 𝑡𝑡0 is time at length 0.
Parameters of the von Bertalanffy model were estimated in the non-linear platform of SAS-JMP using the
Gauss-Newton method. Mean length at age and parameters of the von Bertlanffy Growth model were
compared to the Northwestern Wisconsin mean for each sex.
Young of the year (YOY) walleye were sampled in the early fall once water temperatures
dropped below 70°F. The entire shoreline of Lake Owen was sampled using AC electrofishing annually
between 1985 and 2014, except in 1987, 1989 and 1998. Catch per mile of shoreline sampled of YOY
walleye were compared to the mean for lakes sampled between 1990 and 2013 in Northwestern
Wisconsin (Bayfield, Douglas, Washburn, Burnett, and Sawyer Counties) sustained by natural
reproduction or stocking. A non-parametric Mann-Whitney test was performed to compare relative
abundance of YOY walleye between years where stocking occurred and when it did not or occurred after
sampling. Linear regression was used to examine the trend in relative abundance of YOY walleye. Catch
per unit effort (CPUE) of YOY walleye was log (x+1) transformed to meet assumptions of linear
regression.
In order to evaluate effectiveness of large fingerling walleye stocking, an effort was made to mark
stocked fish with fin clips beginning in 1995. However, in 2006, 2008, 2009 and 2011 a portion of
stocked walleye were not fin clipped prior to stocking. In all, 72% of all large fingerling walleye stocked
between 1995 and 2013 received fin clips prior to stocking. Following stocking, late spring electrofishing
samples were carried out in 2002, 2008, 2010, 2011, 2012, 2013 and 2014 to assess the survival and
contribution of stocked walleye to the age 1 cohort. Contribution of marked stocked fish to each age
cohort was estimated for the 2013 spring fyke netting sample by assigning ages to marked fish using an
age length key for age 3 (2010 cohort) and age 4 (2009 cohort). The abundance of age 3 and age 4
hatchery fish were estimated by multiplying the population estimate by the proportion of hatchery fish
composing each age class. Cost of each stocking event was estimated using mean cost per stocked large
fingerling and Mississippi strain walleye multiplied by the number of fish stocked (e.g. Sand 2012). Cost
per recruit was then estimated by dividing the total cost by the number of fish recruited to age 3 and age 4
cohorts.
Largemouth and smallmouth bass were sampled between May 12th and June 20th by
electrofishing in 1975, 1988, 1994, 2002, 2007, 2013 and 2014. In 1988, 1994, 2002 and 2007 the entire
shoreline was sampled. In 1975, 15.2 miles of shoreline were sampled and in 2014, 10.0 miles were
sampled. Catch per mile of large and smallmouth bass were compared to the mean for lakes sampled
between 1990 and 2013 in Douglas and Bayfield Counties.
Size structure of each species was assessed using proportion stock density (PSD) or proportion
stock density- preferred (PSDP) following the equation:
𝑃𝑃𝑃𝑃𝑃𝑃 𝑜𝑜𝑜𝑜 𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃(%) =𝑛𝑛𝑛𝑛𝑛𝑛𝑛𝑛𝑒𝑒𝑜𝑜 ≥ 𝑠𝑠𝑠𝑠𝑒𝑒𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑒𝑒𝑠𝑠𝑙𝑙𝑒𝑒𝑛𝑛𝑠𝑠𝑡𝑡ℎ
𝑛𝑛𝑛𝑛𝑛𝑛𝑛𝑛𝑒𝑒𝑜𝑜 ≥ 𝑠𝑠𝑡𝑡𝑜𝑜𝑠𝑠𝑠𝑠 𝑠𝑠𝑠𝑠𝑠𝑠𝑒𝑒× 100
where 𝑠𝑠𝑡𝑡𝑜𝑜𝑠𝑠𝑠𝑠 𝑠𝑠𝑠𝑠𝑠𝑠𝑒𝑒and 𝑠𝑠𝑠𝑠𝑒𝑒𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑒𝑒𝑠𝑠 𝑙𝑙𝑒𝑒𝑛𝑛𝑠𝑠𝑡𝑡ℎ are specific to each species (Neumann et al. 2012, Appendix
Table 1). PSD and PSDP values were compared to similar lakes across the state using the WDNR
Fisheries Assessment Classification Tool (FACT). Shifts in PSD or PSDP with time were assessed using
linear regression. PSD and PSDP were log(x) transformed prior to statistical analysis, if necessary, to
improve normality. Length distributions were compared among years using a non-parametric Kruskal-
Wallis and post hoc Steel-Dwass multiple comparison tests (to control for familywise error rate).
All statistical tests were performed in SAS-JMP using a significance level of 0.05.
Results
Walleye
Adult walleye densities have been low since 1988 (mean = 1.6 fish/acre, range = 0.8 – 3.0
fish/acre) relative to the mean for lakes sustained by stocking or natural reproduction in northwestern
Wisconsin (mean ±1S.D. = 3.6 ± 4.4 fish/acre). Between 1988 and 2013 abundance declined from a high
of 3 fish/acre in 1988 to less than 1 fish/acre in 2013 (r2=0.77, p = 0.01). Between 1988 and 2003
densities declined precipitously but have since stabilized (Figure 1). In 2013, adult walleye density was
0.87 ± 0.38 fish/acre (mean ± 95% C.I.).
There were shifts in the length frequency distribution of walleye between 1988 and 2013 (Figure
2). Length frequency distributions of walleye sampled in 1999 and 2003 were skewed towards smaller
fish than all other years and the length frequency distribution of walleye in 2007 was skewed to larger fish
than all other years (Table 1). Walleye PSD was high throughout the study period (mean ± 1S.D. = 81 ±
10) and in the 81st percentile for lakes with similar abiotic characteristics (FACT). PSD-P ranked lower
than PSD (46th percentile) and was more variable among years (25 ± 19, mean ± 1S.D).
Walleye age structure was variable among the four years sampled. In the two earliest surveys,
1988 and 1994, more than half of all walleye sampled were between ages 4-6. In 2007 and 2013 the age
distribution was more evenly spread across ages 2-12 (Figure 3). The Steel-Dwass non-parametric
multiple comparison test revealed that 2007 had a significantly older age distribution (all comparisons,
p<0.001) than all other years and 2013 had an older age distribution than 1988 (p = 0.049) but not
significantly different from 1994 (p = 0.11, Table 2).
Mean length at age was dimorphic for male and female walleye (Figure 4). Separated by sex, the
Von-Bertalanffy growth model fit mean length at age data well (r2 = 0.90- 0.99). Estimated growth
parameters (k) for female and male walleye were higher than the mean for Northwestern Wisconsin
(Table 3). Mean maximum length (L∞) for male and female walleye was 23 and 27, respectively, and
similar to the northwestern Wisconsin average for males and lower for females (Table 3).
The mean catch per mile of YOY walleye in fall electrofishing surveys was lower than the mean
for stocked and non-stocked lakes in Northwestern Wisconsin (Lake Owen = 7.5 ±12.0, Northwestern
Wisconsin = 13.0 ± 31.7, mean ± 1 S.D.). Between 1985 and 2012, YOY catch rates have declined
(r2=0.69, p<0.001). Since 1997 YOY catch rates have not surpassed five fish per mile and YOY walleye
were absent in 2004, 2005 and 2010 samples (Figure 5). In 2014, YOY catches were 0.47 fish/mile.
YOY catch rates were similar in years when large fingerling walleye were stocked prior to fall
sampling (Mann-Whitney, p = 0.85) and the catch rate was not correlated to number of large fingerling
walleye stocked the previous fall (r2=0.20, p = 0.26). Late spring stocking evaluations revealed that the
contribution of hatchery fish to the age-1 walleye population was highly variable (9.8 - 100%) and higher
in years when overall catch rates were low (Figure 6). Adult walleye with hatchery marks (8 fish total)
composed 6% of all adult walleye sampled during fyke netting in the spring of 2013. Assuming unmarked
fish stocked in 2006, 2008 and 2009 contributed to the population in the same proportion as marked fish,
roughly 8% of the 2013 adult walleye population were of hatchery origin. Walleye stocked in 2011
composed 8% of the age 3 cohort and, assuming marked and unmarked walleye experienced the same
mortality rate, walleye stocked in 2009 composed 10% of the age 4 cohort. Estimated cost of age 3 and 4
stocked recruits were $1610.07/recruit and $692.87/recruit (2012 US dollars), respectively.
Largemouth and Smallmouth Bass
Largemouth bass were absent from late spring electrofishing runs in 1975 and 1988, though other
surveys indicated their presence in the lake. Largemouth bass first appeared in late spring electrofishing
surveys in 1992, increased in abundance to a high of 19.4 fish/mile in 2007 and declined to 8.3 fish/mile
in 2014 (Figure 7). Between 1994 and 2014, size structure of largemouth bass was largest in 2013 and
2014 and smallest in 2002 (Figure 9, Table 5). Catch rates of largemouth bass greater than 14 in increased
sharply from 0.9 fish/mile in 1994 to 5.2 fish/mile in 2007 and have since stabilized between 5 and 7
fish/mile in 2013 and 2014. Largemouth bass PSD and PSDP did not exhibit significant trends between
1994 and 2014 (r = 0.47 - 0.48, p > 0.10). In 2014, PSD was 83, in the 85th percentile for largemouth bass
populations statewide (FACT).
Smallmouth bass relative abundance has been slightly higher than the average for Douglas and
Bayfield County lakes (Lake Owen = 12.5 ± 5.4, Douglas and Bayfield County = 6.8 ± 7.0 fish/ mile
mean ± 1S.D.) and did not exhibit a significant trend over the study period (linear regression, r2 = 0.49, p
= 0.19; Figure 7). Size structure of smallmouth bass was largest in 2013, smallest in 1975 and similar
among all other years (Table 4). Similarly, PSDP exhibited a positive linear trend between 1975 and 2014
(r2 = 0.98, p <0.001). In 2014, the PSD for smallmouth bass was 52, in the 33rd percentile for smallmouth
bass populations statewide (FACT
Discussion
Walleye
Adult walleye densities in Lake Owen have declined from 1988 to 2013 and the adult population
structure has shifted to larger and older fish. Concurrently, walleye recruitment has declined from 1985 to
2014. Several factors may be attributed to the decline of walleye in Lake Owen, including: negative
interactions with largemouth bass, habitat change and overexploitation.
Largemouth bass may negatively influence walleye abundances through predation on juveniles
(Santucci and Wahl 1993, Fayram et al. 2005, Repp 2012). Nate et al. (2003) identified that lakes in
northern Wisconsin with largemouth bass tend to have walleye populations that are sustained through
stocking, suggesting a negative interaction between largemouth bass and walleye recruitment. Our results
were consistent with these findings, juvenile walleye recruitment declined concurrent with increased
largemouth bass abundance, suggesting that largemouth bass may be reducing walleye recruitment in
Lake Owen.
Although we did not measure habitat variables, changes in temperature and productivity due to
climate change and development, respectively, may have influenced walleye abundance in Lake Owen.
Garrison (2005) identified that productivity in Lake Owen has increased over the past 100 years based on
fossil diatoms. During this same time period, Wisconsin’s mean annual temperature has also increased,
likely resulting in warmer lake temperatures and shorter periods of ice cover, similar to changes that have
been observed in other high latitude lakes (Magnuson et al. 2000, Austin and Colman 2007, Coulson et al.
2011). Increased temperatures and productivity have the potential to limit walleye habitat availability
during summer by reducing availability of oxygenated waters within their optimal temperature range (20-
28°C, Hokanson 1977).
High exploitation may have also reduced walleye abundances in Lake Owen since 1988. Safe
harvest levels for walleye in Lake Owen are based on mark-recapture population estimates, in the two
years after a survey, or by lake area regression models developed for lakes sustained by natural
recruitment, stocking, or intermittent natural recruitment (Hansen 1991, Beard et al. 2003). Harvest
quotas based on the natural recruitment model are generally greater than stocked and intermittent
recruitment models (e.g. Cichosz 2011). In 2009, the regression model used to estimate harvest quotas in
Lake Owen was changed from natural to stocked as a result of limited natural recruitment, following the
recruitment code classification system developed by the Wisconsin Fisheries Technical Working Group.
Because natural recruitment was low for several years prior to 2007 (Figure 5), exploitation may have
been high prior to 2007, when the natural recruitment regression model was used to determine harvest
quotas.
Along with changes to the walleye harvest quota calculations, minimum length limits were
increased from 15 in to 18 in in 2011. The objectives of this change were to reduce exploitation and
allow females at least one opportunity to spawn before being vulnerable to angler exploitation, potentially
increasing natural recruitment. The effectiveness of daily bag and minimum length limits in reducing
harvest and increasing abundances has been mixed (Fayram et al. 2001, Stone and Lott 2002, Isermann
2007). A 15 in minimum length limit for walleye in Wisconsin reduced walleye exploitation but did not
have an impact on population structure (Fayram et al. 2001). In a South Dakota impoundment, a
combination of increased minimum length limit and reduced bag limit resulted in lower overall harvest,
but after three years harvest returned to pre-regulation levels (Stone and Lott 2002). Because a creel
survey has not been carried out since 2007, we could not determine whether increased minimum length
limits changed angler exploitation. Although slight increases in recruitment have occurred since 2011,
these changes could be attributed to several other changes (e.g. weather conditions, decline in largemouth
bass abundance). To account for these variables, future assessments should include a control or reference
lake.
Similar to the findings of other fisheries managers, stocking was largely unsuccessful in Lake
Owen (Scholl 1996, Toshner 2009). YOY walleye abundance was not greater in stocked years and
stocked fish generally made a small contribution to age-1 recruitment, with stronger year classes
originating from natural reproduction. Additionally, the cost of adult recruits was high. These results are
consistent with several other studies, which found low success rates for supplemental walleye stocking
(Li et al. 1996, Parsons and Pereira 2001, Jennings et al. 2005). Both abiotic (e.g. temperature) and biotic
(e.g. prey availability, predation) factors may influence survival of stocked fish (Donovan et al. 1997,
Hoxmeier et al 2006). Low productivity and the presence of largemouth bass, a potential predator of
stocked walleye (Santucci and Wahl, 1993), could be responsible for limited survival of stocked fish in
Lake Owen.
Largemouth and Smallmouth bass
Largemouth bass abundance and size structure have increased since 1994, when they first
appeared in a late spring electrofishing survey. Scholl (1996) attributed the apparent increase in
abundance to unusually warm and dry conditions, which he believed favored largemouth bass
recruitment. In 2013 and 2014, largemouth bass abundance declined while size structure shifted toward
larger fish, indicating reduced recruitment. This decline in largemouth bass is likely not the result of
increased harvest as we would expect declines in size classes targeted by anglers (fish>13 in) prior to
declines in recruitment. The decline in recruitment also does not appear to be associated with density
dependent processes (e.g. cannibalism) as catches of largemouth greater than 14 in remained relatively
unchanged from 2007. Largemouth bass recruitment to age 1 is often influenced by overwinter survival,
especially at higher latitudes (Fullerton et al. 2000). Between 1990 and 2012 northwestern Wisconsin
experienced a period of warmer than average winters, with 17 of the past 22 years having higher than
average winter mean temperatures (Wisconsin State Climatology Office). In the past two years mean
winter temperatures have dropped to more than three degrees below average, possibly reducing survival
and subsequent recruitment of largemouth bass in the winters of 2012-2013 and 2013-2014.
Lake Owen supports a very popular, primarily catch and release, smallmouth bass fishery
(Toshner 2009). Although variable, relative abundance of smallmouth bass has not exhibited any overall
trends between 1988 and 2014. Since 1988, size structure has improved, with a larger proportion of fish
now greater than 14 in. In 2011, minimum length limits for both smallmouth and largemouth bass were
removed in hopes of greater angler harvest of largemouth bass. In order to maintain the quality of the
popular smallmouth bass fishery, efforts should be made to regulate angler harvest separately from
largemouth bass.
Evaluation of 2009 Management Objectives and Future Recommendations
1. Decrease largemouth bass abundances to 1.2 fish/mile by 2020 by reducing regulations on angler
harvest (Toshner 2009).
Largemouth bass relative abundance has declined to 8.3 fish/mile in 2014. Declines in recruitment
and little change in relative abundance of fish >13”, indicate that the decline is not the result of angler
exploitation. In light of recent declines, a reduction to 1.2 fish/mile by 2020 appears to be an
attainable objective. We recommend that largemouth bass and smallmouth bass be regulated
separately, in order to protect the popular smallmouth bass fishery. Future work should incorporate
creel surveys to allow an assessment of the effectiveness of this regulation change and possible
impacts on the smallmouth bass fishery, if smallmouth bass continue to be managed with largemouth
bass.
2. Increase walleye abundance to the ceded territory large stocked lake average of 2.3 adults/acre
from1.2 adults/acre in 2007 by 2020 by increasing large fingerling stocking to 10 fish/acre, reducing
maximum angler bag limits from 5 to 3 fish and increasing minimum length limits to 18 in (Toshner
2009).
Walleye abundances have not changed significantly since 2007. Increased stocking intensity of large
fingerling has not resulted in increased juvenile recruitment or adult abundances. Stocked fish made
up a small portion of the adult population sampled in 2013. We recommend that stocking be ceased if,
in 2019, mean contribution to stocked year classes, between ages 4 and 10, is not at least 20%, on
average, and if mean cost per age 4 and 5 recruit is more than $250 (2012 US Dollars).
3. Monitor effects of proposed changes by estimating walleye and bass abundances every 6 years,
marking stocked walleye, conducting spring stocking assessments and conducting at least one creel
survey prior to 2020 (Toshner 2009).
Fisheries assessment surveys, including a walleye population estimate in 2013, have been carried out
as planned. Given the previous management objective, assessment activities aimed at determining the
effectiveness of stocking in Lake Owen (i.e. marking hatchery fish, spring electrofishing) should be
continued. Ageing structures should be collected from all hatchery-origin adult walleye captured
during future surveys to allow a more accurate assignment of ages to stocked fish. A creel survey
should be carried out in conjunction with the 2019 walleye population survey to allow for an
evaluation of the 2011 angling regulation changes in reducing angler harvest.
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Table 1. Mean length (in.), standard deviation and results from non-parametric multiple comparison test (Steel-Dwass Method) for adult walleye length distributions from Lake Owen, Bayfield County, Wisconsin. Years connected with the same letter do not have significantly different distributions.
Year Mean (±1 S.D.) Connecting Letters 1999 16.4 (2.2) A
2001 16.5 (2.4) A 1988 17.5 (3.6)
B
2003 17.9 (2.4)
B 1994 18.4 (3.8)
B
2013 18.5 (2.9)
B 2007 20.8 (3.6) C
Table 2. Mean age (years), standard devation and results of Non-parametric multiple comparison test (Steel-Dwass Method) for adult walleye in Lake Owen, Bayfield County, Wisconsin. Years connected with the same letter do not have significantly different distributions.
Year Mean (±1 S.D.) Connecting Letters 1988 5.8 (1.6) A
1994 5.9 (2.7) A B 2013 6.8 (3.2)
B
2007 8.1 (3.1) C
Table 3. Parameters of Von-Bertalanffy estimated for adult walleye captured in 1994, 2007, 2013 in Lake Owen, Bayfield County, Wisconsin and the Northwest Wisconsin regional average separated by gender.
Year Sex k L∞ r2 1994 F 0.20 27.7 0.90 2007 F 0.18 27.9 0.97 2013 F 0.21 25.6 0.96 Owen Mean F 0.20 27.0 0.94 NW WI Mean F 0.12 30.2 0.99 1994 M 0.30 20.8 0.90 2007 M 0.21 25.6 0.93 2013 M 0.15 22.5 0.93 Owen Mean M 0.22 22.9 0.92 NW WI Mean M 0.15 22.7 0.98
Table 4. Mean length (in.), standard deviation and results from non-parametric multiple comparison test (Steel-Dwass Method) for smallmouth bass length distributions from Lake Owen, Bayfield County, Wisconsin. Years connected with the same letter do not have significantly different distributions.
Year Mean (±1 S.D.) Connecting Letters 1975 8.9 (2.7) A 1994 10.7 (2.9)
B
1988 10.8 (2.7)
B 2002 11.0 (3)
B
2014 11.2 (3.5)
B C 2007 11.4 (2.9)
B
2013 12.4 (3.1) C
Table 5. Mean length (in.), standard deviation and results from non-parametric multiple comparison test (Steel-Dwass Method) for largemouth bass length distributions from Lake Owen, Bayfield County, Wisconsin. Years connected with the same letter do not have significantly different distributions.
Year Mean (±1 S.D.) Connecting Letters 2002 10.9 (2.6) A
2007 12.1 (2.6)
B 1994 12.5 (2.1)
B
2014 13.6 (2.7)
C 2013 14 (2.1) C
Figure 1. Density of adult walleye (± 95% C.I.) estimated from mark-recapture surveys in Lake Owen, Bayfield County, Wisconsin. Gray circles represent years where mark-recapture survey were carried out by GLIFWC, black circles represent years where the WDNR was responsible for the surveys.
Figure 2. Length frequency of walleye captured by electrofishing (1999,2001 and 2003) and fyke nets (1988,1994,2007 and 2014) in Lake Owen, Bayfield County, Wisconsin.
Length (In)
Prop
ortio
n n = 393 n = 292
n = 1148 n = 984
n = 604 n = 353
n = 138
Figure 3. Proportion of adult walleye in each age class from Lake Owen, Bayfield County, Wisconsin.
Age (Years)
Prop
ortio
n
n = 393 n = 296
n = 353 n = 138
Figure 4. Mean length at age for male(bottom) and female(top) walleye from Lake Owen, Bayfield County, Wisconsin (circles) and the average for male walleye in northwestern Wisconsin (solid line).
Figure 5. Catch per mile of YOY walleye sampled in the fall of the year between 1985 and 2012. Gray bars represent years when small or larger fingerling walleye were stocked prior to sampling. White bars represent years when walleye were not stocked or not stocked prior to sampling. Black bar represents years when timing of sample in relation to stocking was unknown. Asterisks indicate years that were not sampled.
Figure 6. Catch per mile of age 1 walleye in late spring electrofishing samples and contribution of catch from natural and artificial recruitment in Lake Owen, Bayfield County, Wisconsin.
Figure 7. Catch per mile of smallmouth (SMB) and largemouth bass (LMB) during late spring electrofishing in Lake Owen, Bayfield County, Wisconsin.
Figure 8. Proportion of smallmouth bass in each inch class from Lake Owen, Bayfield County, Wisconsin.
Length (In)
0.000.050.100.150.20
3132014
Prop
ortio
n
n = 299 n = 321
n = 564 n = 264
n = 218 n = 378
n = 54
Figure 9. Proportion of largemouth bass in each inch class from Lake Owen, Bayfield County, Wisconsin.
Length (In)
0.000.050.100.150.20
3132014
Prop
ortio
n
n = 92 n = 392
n = 484 n = 266
n = 84
Appendix Table 1. Proportional stock density values.
Species Stock Size (in) Quality Size (in) Preferred Size (in) Largemouth Bass 8 12 15 Walleye 10 15 20 Smallmouth Bass 7 11 14
Appendix Table 2. Fish stocking history of Lake Owen, Bayfield County, Wisconsin.
Year Species Number Stocked Age/Size 1933 Walleye 703,700 Fry
Black Bass 1,362 Unkown
1935 Walleye 825,900 Fry
Black Crappie, Bluegill 900 Unkown
1936 Walleye 1,587,600 F
Sunfish 560 Unkown
Bluegill 560 Unkown
1938 Walleye 1,559,640 Fry
Largemouth Bass 2,000 Fry
1939 Walleye 1,000,000 Fry
Largemouth Bass 1,848 Fry
1940 Walleye 1,000,000 Fry
Largemouth Bass 5,000 Fry
Largemouth Bass 3,000 Small Fingerling
1941 Walleye 1,000,000 Fry
Largemouth Bass 10,000 Small Fingerling
1942 Walleye 3,650 Small Fingerling
Largemouth Bass 9,000 Small Fingerling
Northern Pike 200,000 Fry
1943 Walleye 1,000,000 Fry
Walleye 5,000 Small Fingerling
Northern Pike 126,000 Fry
1944 Walleye 800,000 Fry
Walleye 3,000 Small Fingerling
Largemouth Bass 1,500 Small Fingerling
Northern Pike 152,300 Fry
Smallmouth Bass 1,420 Small Fingerling
1945 Walleye 2,675,200 Fry
Walleye 10,000 Small Fingerling
Largemouth Bass 7,100 Small Fingerling
1946 Walleye 2,983,175 Fry
Walleye 6,000 Small Fingerling
Largemouth Bass 4,000 Small Fingerling
Smallmouth Bass 250 Small Fingerling
1947 Walleye 2,000,000 Fry
Walleye 10,000 Small Fingerling
1949 Walleye 5,600 Small Fingerling
Largemouth Bass 250 Small Fingerling
1950 Walleye 21,905 Small Fingerling
Largemouth Bass 3,000 Small Fingerling
Smallmouth Bass 10,000 Small Fingerling
1952 Walleye 27,345 Small Fingerling 1953 Walleye 9,627 Small Fingerling
Appendix Table 3 Continued.
Year Species Number Stocked Age/Size 1954 Walleye 8,400 Small Fingerling 1955 Walleye 1,260 Small Fingerling 1956 Walleye 8,400 Small Fingerling 1957 Walleye 8,400 Small Fingerling 1958 Walleye 2,800 Small Fingerling 1961 Walleye 30,500 Small Fingerling 1964 Walleye 25,000 Small Fingerling
Walleye 2,000 Large Fingerling
1967 Walleye 15,500 Small Fingerling 1976 Rainbow Trout 3,500 Yearling 1978 Rainbow Trout 3,500 Yearling 1979 Rainbow Trout 3,500 Yearling 1980 Walleye 1,300,000 Fry 1981 Walleye 62,494 Small Fingerling 1982 Walleye 19,800 Fry
Walleye 29,480 Small Fingerling
Walleye 12,988 Large Fingerling
1983 Walleye 62,240 Small Fingerling
Rainbow Trout 7,652 Yearling
1985 Walleye 8,357 Small Fingerling 1987 Rainbow Trout 3,000 Yearling 1988 Walleye 49,731 Small Fingerling 1989 Walleye 5,800 Large Fingerling 1991 Walleye 22,541 Large Fingerling 1992 Walleye 70,793 Small Fingerling
Walleye 110,000 Fry
1994 Walleye 67,278 Small Fingerling
Walleye 950 Large Fingerling
1995 Walleye 4,984 Large Fingerling 1999 Walleye 200 Large Fingerling 2001 Walleye 2,000 Large Fingerling 2006 Walleye 474 Large Fingerling 2007 Walleye 2,581 Large Fingerling 2008 Walleye 6,150 Large Fingerling 2009 Walleye 7,661 Large Fingerling 2010 Walleye 11,028 Large Fingerling
Appendix Table 3 Continued.
Year Species Number Stocked Age/Size 2011 Walleye 16,534 Large Fingerling 2012 Walleye 8,582 Large Fingerling 2013 Walleye 11,615 Large Fingerling