Fish Population Assessments of Ceded Territory Lakes in Wisconsin, Michigan and Minnesota During 2013

by

Mark Luehring

Inland Fisheries Biologist

Joseph D. Rose Inland Fisheries Section Leader

Administrative Report 15-2 January 2015

Great Lakes Indian Fish and Wildlife Commission P. O. Box 9

Odanah, WI 54861 (715) 682 - 6619 www.glifwc.org

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Abstract The Inland Fisheries Section of the Great Lakes Indian Fish and Wildlife Commission (GLIFWC) conducted fishery assessment surveys of ceded territory lakes in northern Wisconsin, Minnesota, and the upper peninsula of Michigan. Assessment crews from the U.S. Fish and Wildlife Service, Fond du Lac, Sokaogon (Mole Lake), and St. Croix Bands assisted with spring and fall surveys. An assessment crew from the Bad River Band assisted with fall surveys. In the spring, adult walleye (Sander vitreus) population estimates were conducted on 18 Wisconsin lakes. A total of 18,659 walleye were sampled from 14,030 acres of water during these surveys. All but two of the lakes surveyed had naturally reproducing walleye populations, and density of adult walleye averaged 3.94 (SD = 2.64, range: 0.28 to 11.95) fish per acre. In 13 of these 18 lakes, adult walleye population densities were at least 3.0 fish per acre, indicating that walleye populations were healthy. On Mille Lacs Lake, Minnesota, assessment crews from GLIFWC and Fond du Lac Band conducted a cooperative spring adult walleye survey with MNDNR in which 10,721 walleye were caught. During the fall, electrofishing surveys were conducted on 99 lakes in Wisconsin, 7 lakes in Michigan, and 2 lakes in Minnesota to determine year class strength of age 0 (young of the year) and age 1 (yearling) walleye. In Wisconsin, a total of 16,424 age 0 and 8,355 age 1 walleye were sampled. In addition, 972 gamefish including muskellunge (Esox masquinongy), northern pike (Esox lucius), largemouth bass (Micropterus salmoides) and smallmouth bass (M. dolomieui) were sampled. In Michigan, a total of 793 age 0 and 802 age 1 walleye were sampled during the fall. In Minnesota a total of 1,338 age 0 and 39 age 1 walleye were sampled.

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Contents

Page Acknowledgments.................................................................................................. 3 Introduction............................................................................................................ 4 Methods Spring Adult Walleye Population Estimates................................................ 4

Fall Recruitment Surveys............................................................................ 5

Results and Discussion Spring Adult Walleye Population Estimates................................................ 7

Fall Recruitment Surveys............................................................................ 8

References............................................................................................................... 9

Appendices A. Spring Survey Data.............................................................................. 10

B. Fall Recruitment Survey Data............................................................... 25

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Acknowledgments The authors thank fisheries technicians Butch Mieloszyk and Ed White for their assistance in selecting lakes, conducting field work, providing boat maintenance, supervising crews during spring and fall survey seasons, and aging walleye structures (spines, scales, and otoliths). Fisheries aides Kris Arbuckle, Noah Arbuckle, Jerome Cross, Caine Heffner, Tom Houle, Joshua Johnson, David Moore, Rick Nelis, David Parisien, Jim Parisien Jr., Ron Parisien Jr., Louis Plucinski, Sam Plucinski, Martin Powless, Sam Quagon, Bill Soulier, Dennis Soulier, and Joseph Wilmer are thanked for operating shocking equipment, sampling fish, and maintaining boats and equipment under demanding conditions. Kia White, Database Manager, is thanked for entering fall survey data. Thanks also to Bad River, Fond du Lac, Sokaogon (Mole Lake), St. Croix, and U.S. Fish and Wildlife Service personnel for their efforts, and to Neil Kmiecik, Biological Services Director, for editing the manuscript.

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Introduction Fishery assessment surveys of ceded territory lakes were conducted during spring and fall of 2013 by the Great Lakes Indian Fish and Wildlife Commission (GLIFWC) to improve understanding of spatial and temporal variability of walleye populations in ceded territory waters of northern Wisconsin, Michigan, and Minnesota. These studies add to an extensive body of information describing ceded territory walleye populations and associated biological parameters. They provide data needed to update recruitment codes, set harvest quotas, and monitor the impacts of a combined tribal and sport fishery on the walleye resource. Since 1989, a Memorandum of Understanding has been in effect between the U.S. Fish and Wildlife Service (USFWS) and GLIFWC. Under the 2013 agreement, USFWS provided technical support and equipment during spring and fall surveys. The St. Croix Chippewa Assessment Unit was initially equipped and funded in 1990 to conduct surveys; assistance in subsequent years has continued through a subcontract with GLIFWC. The Sokaogon (Mole Lake) Band assisted with the spring and fall surveys through a subcontract with GLIFWC. The Bad River Band assisted with the fall surveys through a subcontract with GLIFWC. The Fond du Lac Band assisted with spring and fall surveys at Mille Lacs Lake, MN.

Methods

Spring Adult Walleye Population Estimates Current information on adult walleye populations was collected from 18 lakes in the ceded territory of Wisconsin (Figure A1). Of these, 17 lakes had experienced tribal spearing harvest during the previous year. The survey conducted on Sherman Lake (Vilas Co., Wisconsin) was a cooperative effort coordinated between GLIFWC and the Wisconsin Department of Natural Resources (WDNR). All data from these surveys are reflected in this report regardless of which agency did the actual collection of fish. Nine lakes in Wisconsin are GLIFWC long-term study lakes. Large (greater than 500 acres in area) long-term study lakes surveyed in 2013 included Butternut Lake (Forest Co.), Kentuck Lake (Vilas Co.), Squirrel Lake (Oneida Co.) and Squaw Lake (Vilas Co.). Small (less than 500 acres in area) long-term study lakes surveyed in 2013 included Siskiwit Lake (Bayfield Co.), Annabelle Lake (Vilas Co.), Sherman Lake (Vilas Co.), and Bass-Patterson Lake (Washburn Co.). Long-term study lakes are surveyed annually or biannually to collect trend and variability information on adult walleye populations. The continuing goal is to use adult estimates and fall recruitment data from long-term study lakes to develop and assess models for predicting population size. A joint study between GLIFWC and WDNR was initiated in 2006 on Sherman Lake to investigate the effects of a 50% exploitation rate on the walleye population. Mark and recapture data were used to calculate the adult walleye population estimate for each lake according to the Peterson formula (Chapman’s modification) described in Ricker (1975). A target number of adult walleye to be marked and recaptured was derived from curves that were developed by Robson and Regier (1964). These curves required an initial estimate of population size. This estimate was obtained either from a previous population estimate survey, or when none existed, from a regression formula estimate for a lake of similar size and

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recruitment code. Per agreement between GLIFWC and WDNR biologists, all unknown sex fish less than 15 inches in total length were assumed to be immature fish and excluded from the calculation of adult population estimates. In lakes where spearing occurred prior to the recapture survey, an adjustment was made by reducing the marking sample by the number of marked fish speared. Also, the total number of fish speared before the first recapture run (except for walleye of unknown sex less than 15 inches) was added to the estimate. Fish were captured for marking with electrofishing gear soon after ice out in all lakes. In Jungle Lake (Forest Co.), Kentuck Lake (Vilas Co.), and Sherman Lake (Vilas Co.) walleye were captured by fyke netting and electrofishing. Six electrofishing boats and crews were used during the season, including three from GLIFWC, one from USFWS, one from Mole Lake, and one from St. Croix. All boats in all spring electrofishing surveys conducted during 2013 had an arrangement of six umbrella dropper anodes and used pulsed DC at 60 pps. Electrofishing occurred after sunset. During the marking period, effort was focused on finding and sampling walleye spawning areas. With this concentrated effort, crews were able to mark the target number of walleye in one to four nights, depending upon lake size and the number of crews used. Walleye were measured (total length in inches) and sexed (male, female, or unknown). Crews were instructed to collect a scale or spine sample from ten male fish per half-inch group between 11.0 inches and 16.9 inches, and from five fish per half-inch group for males of other sizes and females. Generally, spines were taken from fish 10 inches and larger, and scales were taken from smaller fish. Spines and scales were analyzed at a later date for age determination. On long-term study lakes, fish were tagged with yellow colored individually numbered Floy tags prior to release. Fish on all other lakes were given a single caudal fin notch. After being tagged or notched, fish were released away from the capture area, typically near the middle of the lake. Recapture surveys with electrofishing equipment were conducted one to two nights after the marking period ended. Surveys covered the entire shoreline of each lake. For each fish captured, length, sex and mark, if any, were recorded. A spring adult mark-recapture survey was also conducted on Mille Lacs Lake, Minnesota in cooperation with MNDNR to estimate the number of walleye great than 14 inches in length. During the marking period, fyke netting and electrofishing effort was focused on the main spawning areas. Walleye were measure and sexed. Tags were applied on the spawning grounds by GLIFWC, Fond du Lac, USFWS, and MNDNR survey crews. Fish were recaptured with short term (1-2 hour) sets of standardized graded mesh gill nets set throughout the lake from May 23 through June 21, 2013. Fall Recruitment Surveys Fall electrofishing surveys were conducted in 108 ceded territory waters including 99 lakes in Wisconsin, 7 lakes in Michigan, and two lakes in Minnesota. Fall surveys were

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conducted to evaluate recruitment of age 0 (young of the year) and age 1 (yearling) walleye, and to assess whether recruitment codes were appropriate. Electrofishing boats sampled lakes four nights per week from September 9 through October 24. Nine assessment crews were used during the season, including four from GLIFWC, one from USFWS, and crews from the Bad River, Fond du Lac, Mole Lake, and St. Croix tribes. The number of boats assigned to each lake was based upon the shoreline length to be surveyed, and whether the entire shoreline or index station segments would be surveyed. For planning purposes, it was assumed that one boat was needed for every 5-7 miles of shoreline. Index stations were sampled on 15 of the larger waters. The primary objective of these surveys was to assess year class strength of stocked or naturally reproduced age 0 and age 1 walleye. Larger walleye and other game fish (e.g., bass, northern pike and muskellunge) were of secondary priority and collected if this effort did not detract from the collection of juvenile walleye. Panfish and other species were collected as a third priority. Results of surveys were used to determine whether lake recruitment code changes were needed. Other uses included trend analysis of important mixed fishery lakes maintained by natural reproduction, and the development of a regional perspective of annual walleye year class strength. Electrofishing began at dusk and continued until the entire shoreline or set of index stations was sampled. Cases of severe weather were the only exceptions that prevented survey completion. All fish collected were identified to species and measured (total length in inches). For walleye only, a scale sample was collected from five fish per half-inch group between 5.5 and 12.0 inches to determine the length range and numbers of age 0 and age 1 walleye. Protocols were adopted by GLIFWC in the fall of 2004 to reduce the likelihood of spreading aquatic invasive species. All equipment coming in contact with water was checked visually for aquatic invasive species each night before entering the water and again after leaving the water. Boats and trailers were bleached, pressure-washed, or steam-cleaned daily. In addition, crew leaders documented any aquatic invasive species observed, and gathered information regarding signs posted at boat landings pertaining to these species. Surveys on the following five Wisconsin lakes were conducted jointly by GLIFWC and WDNR, and the results summarized and reported by GLIFWC: Upper Eau Claire (Bayfield Co.), Lake Chetac (Sawyer Co.), Lac Courte Oreilles (Sawyer Co.), Nelson Lake (Sawyer Co.), Lac Vieux Desert (Vilas Co.), Trout Lake (Vilas Co.), and Long Lake (Washburn Co.). Surveys on the following four Wisconsin lakes were conducted jointly by GLIFWC and WDNR, and the results were summarized and reported by WDNR: Red Cedar Lake (Barron Co.), Lake Nebagamon (Douglas Co.), Pelican Lake (Oneida Co.), and Lost Land Lake, (Sawyer Co.). All data from these 11 surveys are reflected in this report, regardless of which agency did the actual collection of fish.

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Results and Discussion Spring Adult Walleye Population Estimates A total of 18,659 walleye were sampled from 14,030 acres of water in Wisconsin during the spawning adult walleye population estimate period. Adult walleye population estimates for 18 stocks in Wisconsin (Table A1) ranged from 248 to 13,441 fish. Estimated population densities ranged from 0.28 per acre for Franklin Lake, Forest Co., to 11.95 walleye per acre for Harris Lake, Vilas Co. (mean = 3.94, SD = 2.64) (Figure A2). The Report on Biological Issues (1988) listed several indicators of healthy naturally reproducing walleye stocks agreed to by state and tribal biologists. Two indicators included: a) population density of three adult walleye per acre; and, b) the presence of five year classes of females in a sample, or three year classes in a sample of 100 females that each contribute at least 15 percent of the sample. Fourteen of the 18 lakes surveyed had recruitment codes of NR (Table A1), indicating that natural reproduction was the only source of recruitment. Two lakes had recruitment codes of C-NR, indicating that some stocking occurred even though the population was sustained by natural reproduction. Two of the lakes had a recruitment code of C-ST, indicating that some natural reproduction occurred even though the population was sustained by stocking. Thirteen of these 18 lakes had walleye densities of greater than 3.0 per acre. Male-to-female sex ratios (Table A1) were skewed in favor of males in all lakes surveyed except for Kentuck Lake (Vilas Co.). The reliability of these values is questionable in some lakes, however. Electrofishing may bias sampling in favor of males (Shively and Kmiecik 1991) because males spend more time in shallow water than females during the spawning period (Colby et al. 1979), and many females are out of effective capture range except during or after spawning. A total of 1,587 female, 16,426 male, and 646 unknown sex walleye were measured (Figure A3, Table A2) and a subsample aged (Figure A4). Female lengths ranged from 10.0 to 30.5 inches, male lengths ranged from 7.0 to 26.5 inches, and lengths for walleye of unknown sex ranged from 9.0 to 25.0 inches. Age-length tables were developed for subsets of female, male, and unknown sex walleye in each of the lakes sampled (Tables A3 – A20). Aging structures for Sherman Lake (Vilas Co.) were collected and read by WDNR. These age-length tables by themselves are not necessarily representative of the size and age structure of the population, since spines for aging were collected according to a stratified sampling scheme. However, age-length tables reflective of the population can be developed when coupled with length-frequency data from the population estimates. Also, the age-length tables should be sufficient to detect the presence or absence of year classes. Regarding the second population health criterion, 17 of the 18 lakes had populations with at least five year classes of females in the aging sample.

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Fall Recruitment Surveys Fall recruitment surveys were conducted on 108 lakes in the ceded territories of Wisconsin, Michigan and Minnesota (Figure B1, Table B2). Survey effort included 443.6 hours of electrofishing along 1,051.8 miles of shoreline resulting in the collection of 34,730 walleye. From 99 surveys conducted on 99 lakes in Wisconsin, 375.5 hours of electrofishing along 888.9 miles of shoreline resulted in a collection of 31,237 walleye. In Michigan, 7 lakes were surveyed in 35.7 hours along 82.3 miles of shoreline, resulting in the collection of 2,080 walleye. In Minnesota, 1,413 walleye were collected in 32.4 hours along 80.6 miles of shoreline (Table B2). A total of 16,424 age 0 walleye were caught in Wisconsin. Age 0 walleye were caught in 82 of the 99 lakes surveyed. Over all 99 surveys, catch per effort (CPE) for age 0 walleye ranged from 0.0 to 184.3 (mean = 22.1, median = 4.8, SD = 37.1) per mile. A total of 8,355 age 1 (yearling) walleye were caught in 84 of the 99 lakes surveyed. Over all surveys, age 1 CPE ranged from 0.0 to 65.2 (mean = 10.4, median = 5.2, SD = 12.8) yearlings per mile. In order to gauge the relative strength of the 2013 and 2012 walleye year classes monitored in the 2013 fall surveys as age 0 and age 1 fish, plots of mean and median CPE values were generated for each year from 1986 through 2013 for all Wisconsin lakes with recruitment codes of NR or C-NR with at least 75% of the shoreline surveyed, including lakes surveyed by WDNR and including CPEs of 0.0 (Figures B2 and B3). For 1986 through 2013, the averages of the yearly mean and median age 0 CPEs are 30.8 and 16.4 per mile, respectively, and the averages of the yearly mean and median age 1 CPEs are 10.1 and 5.5 per mile, respectively. For 2013, the mean and median age 0 CPEs were 21.3 and 4.8, respectively, and the mean and median age 1 CPEs were 9.2 and 4.2, respectively. In Michigan, 793 age 0 walleye were caught. Age 0 walleye were caught in 6 of the 7 lakes surveyed. Age 0 CPE ranged from 0.0 to 103.8 (mean = 18.8, median = 8.3, SD = 37.7) per mile. A total of 802 age 1 walleye were caught in 5 lakes. Age 1 CPE ranged from 0.0 to 35.9 (mean = 12.3, median = 7.5, SD = 14.4) yearlings per mile. In Minnesota, 1,338 age 0 and 39 age 1 walleye were caught in Mille Lacs Lake, yielding CPEs of 17.2 and 0.5 per mile, respectively. Length frequencies from the survey on Mille Lacs Lake are shown in Figure B4, and results from all fall recruitment surveys conducted by GLIFWC on Mille Lacs Lake are shown in Figure B5. Knomachers Lake was also surveyed since it experienced a partial winterkill in 2012-2013. No age 0 or age 1 walleye were caught in Knomachers Lake. Table B2 includes summaries of gamefish including muskellunge, northern pike, largemouth bass, and smallmouth bass. Various panfish and rough fish species were also collected but their numbers are not reported here. Summary statistics for NR and C-NR lakes, C-ST lakes, and O-ST lakes in Wisconsin, Michigan and Minnesota are given in Table B3. Statistics include the average CPE, the standard deviation, the number of lakes, and the range of

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CPE values for all lakes and for lakes where a year class was detected. Data were plotted for each recruitment code in Figures B6 and B7.

References Colby, P. J., R. E. McNicol, and R. A. Ryer. 1979. Synopsis of biological data on walleye

(Stizostedion v. vitreum, Mitchell 1818). Food and Agricultural Organization of the United Nations, Rome.

Drake, M. T. 2009. Mille Lacs Safe Harvest Estimation for the 2008 Fishing Season. 1837 Ceded Territory Fisheries Committee Meeting. January, 2009.

Report on Biological Issues. 1988. LCO et al. V. State of Wisc. August, 1988. Ricker, W.E. 1975. Computation and interpretation of biological statistics of fish populations. Bulletin of the Fisheries Research Board of Canada. 382 pp. Robson, D.S. and H.A. Regier. 1964. Sample size in Peterson mark-recapture experiments. Transactions of the American Fisheries Society 93: 215-226. Shively, J.D. and N. Kmiecik. 1991. Fish population assessment of ceded territory lakes in Wisconsin during 1990. Great Lakes Indian Fish and Wildlife Commission Administrative Report 91-2. Odanah, WI.

Appendix A: Spring Survey Data Figure Page A1. Ceded territory in Wisconsin, Michigan, and Minnesota with the number of lakes per county where spring adult walleye population estimates were conducted by GLIFWC during 2013 12 A2. Estimated Adult Walleye Densities by Recruitment Code, Spring 2013 13 A3. Length Frequency of Adult Walleye Marked, Adult Walleye Population Estimates, Spring 2013 14 A4. Age Frequency of Adult Walleye Aged, Adult Walleye Population Estimates, Spring 2013 14 Table Page A1. Spring 2013 Adult Population Estimates Conducted by GLIFWC 15 A2. Lengths of Walleye Collected During Spring 2013 Adult Population Estimates 15 A3. Number of Walleye Aged by Sex and Length From Spring 2013

Adult Population Estimate: Siskiwit Lake, Bayfield County, Wisconsin 16 A4. Number of Walleye Aged by Sex and Length From Spring 2013

Adult Population Estimate: Butternut Lake, Forest County, Wisconsin 16 A5. Number of Walleye Aged by Sex and Length From Spring 2013

Adult Population Estimate: Franklin Lake, Forest County, Wisconsin 17 A6. Number of Walleye Aged by Sex and Length From Spring 2013

Adult Population Estimate: Jungle Lake, Forest County, Wisconsin 17 A7. Number of Walleye Aged by Sex and Length From Spring 2013

Adult Population Estimate: Squirrel Lake, Oneida County, Wisconsin 18 A8. Number of Walleye Aged by Sex and Length From Spring 2013

Adult Population Estimate: Annabelle Lake, Vilas County, Wisconsin 18 A9. Number of Walleye Aged by Sex and Length From Spring 2013

Adult Population Estimate: Big Lake (Boulder Jct), Vilas County, Wisconsin 19 A10. Number of Walleye Aged by Sex and Length From Spring 2013

Adult Population Estimate: Big Muskellunge Lake, Vilas County, Wisconsin 19

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A11. Number of Walleye Aged by Sex and Length From Spring 2013 Adult Population Estimate: Boulder Lake, Vilas County, Wisconsin 20

A12. Number of Walleye Aged by Sex and Length From Spring 2013

Adult Population Estimate: Forest Lake, Vilas County, Wisconsin 20 A13. Number of Walleye Aged by Sex and Length From Spring 2013

Adult Population Estimate: Harris Lake, Vilas County, Wisconsin 21 A14. Number of Walleye Aged by Sex and Length From Spring 2013

Adult Population Estimate: Kentuck Lake, Vilas County, Wisconsin 21 A15. Number of Walleye Aged by Sex and Length From Spring 2013

Adult Population Estimate: Little Arbor Vitae Lake, Vilas County, Wisconsin 22 A16. Number of Walleye Aged by Sex and Length From Spring 2013

Adult Population Estimate: Sherman Lake, Vilas County, Wisconsin 22 A17. Number of Walleye Aged by Sex and Length From Spring 2013

Adult Population Estimate: Squaw Lake, Vilas County, Wisconsin 23 A18. Number of Walleye Aged by Sex and Length From Spring 2013

Adult Population Estimate: Twin Lake Chain, Vilas County, Wisconsin 23 A19. Number of Walleye Aged by Sex and Length From Spring 2013

Adult Population Estimate: Bass-Patterson Lake, Washburn County, Wisconsin 24

A20. Number of Walleye Aged by Sex and Length From Spring 2013 Adult Population Estimate: Middle Mckenzie Lake, Washburn County, Wisconsin 24

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0 40 80 120 16020Miles

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SISKIWIT L

BUTTERNUT L

LITTLE ARBOR VITAE L

FOREST L

FRANKLIN L

BASS-PATTERSON L

TWIN L CHAIN

SQUIRREL L

SQUAW L

BIG L (BLDR JCT)

MIDDLE MCKENZIE L

JUNGLE L

BIG MUSKELLUNGE L

BOULDER L

ANNABELLE L

SHERMAN L

KENTUCK L

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Figure A2. Estimated Adult Walleye Densities by Recruitment Code, Spring 2013

NR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-STNR C-NR C-ST

HARRIS L

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8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

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leye

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Unknown Male Female

Adult Walleye Population Estimates, Spring 2013Figure A3

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Adult Walleye Population Estimates, Spring 2013Figure A4

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Table A1. Spring 2013 Adult Population Estimates Conducted by GLIFWCSurface 2013 Coefficient Male:

Area Walleye Population of Marking Recapture Fin clip femaleState County Lake (Acres) Code Estimate Density Variation (%) Gear* Gear* applied** sex ratio***WI BAYFIELD SISKIWIT L 330 NR 886 2.68 16.18 E E YF 8:1WI FOREST BUTTERNUT L 1,292 C-NR 4,475 3.46 8.41 E E YF 8:1WI FOREST FRANKLIN L 892 C-NR 248 0.28 27.27 E E TCN 2:1WI FOREST JUNGLE L 177 NR 622 3.51 8.03 E/F E TCN 5:1WI ONEIDA SQUIRREL L 1,317 NR 3,445 2.62 10.43 E E YF 12:1WI VILAS ANNABELLE L 213 NR 1,272 5.97 19.09 E E YF 4:1WI VILAS BIG L (BOULDER JCT) 835 NR 2,927 3.51 7.89 E E BCN 8:1WI VILAS BIG MUSKELLUNGE L 930 NR 5,396 5.80 10.86 E E BCN 26:1WI VILAS BOULDER L 524 NR 2,028 3.87 5.16 E E BCN 12:1WI VILAS FOREST L 466 NR 1,513 3.25 6.49 E E BCN 6:1WI VILAS HARRIS L 507 NR 6,060 11.95 19.81 E E BCN 11:1WI VILAS KENTUCK L 957 NR 3,103 3.24 43.90 E/F E YF 1:1WI VILAS LITTLE ARBOR VITAE L 534 C-ST 751 1.41 24.98 E E BCN 4:1WI VILAS SHERMAN L 123 NR 634 5.15 6.66 E/F E YF 17:1WI VILAS SQUAW L 785 NR 2,397 3.05 5.15 E E YF 12:1WI VILAS TWIN L CHAIN 3,430 NR 13,441 3.92 4.79 E E BCN 15:1WI WASHBURN BASS-PATTERSON L 188 NR 1,268 6.74 5.91 E E YF 38:1WI WASHBURN MIDDLE MCKENZIE L 530 C-ST 282 0.53 36.34 E E BCN 128:1

*Gear used: E = electrofishing, F = fyke netting** BCN=bottom caudal notch, TCN = top caudal notch, YF = numbered yellow floy tag ***Sex ratio is calculated for walleye sampled during marking and recapture runs but excludes recaptured fish

Table A2. Lengths of Walleye Collected During Spring 2013 Adult Walleye Population EstimatesFEMALE MALE UNKNOWN

NUMBER SAMPLED MINIMUM MAXIMUM MINIMUM MAXIMUM MINIMUM MAXIMUMSTATE COUNTY LAKE FEMALE MALE UNKNOWN TOTAL LENGTH LENGTH LENGTH LENGTH LENGTH LENGTHWI BAYFIELD SISKIWIT L 35 270 6 311 14.0 21.0 10.5 19.0 11.5 15.0WI FOREST BUTTERNUT L 136 1,126 9 1,271 14.0 29.5 12.0 19.5 10.0 13.0WI FOREST FRANKLIN L 30 74 21 125 17.5 24.5 11.5 20.5 12.0 22.5WI FOREST JUNGLE L 61 322 0 383 15.0 22.5 11.0 18.0WI ONEIDA SQUIRREL L 104 1,208 83 1,395 12.5 24.5 9.5 19.5 10.5 20.5WI VILAS ANNABELLE L 71 261 107 439 10.0 27.0 9.0 15.0 9.0 12.5WI VILAS BIG L (BOULDER JCT) 127 1,025 26 1,178 10.5 21.0 9.0 19.0 10.0 11.0WI VILAS BIG MUSKELLUNGE L 51 1,342 62 1,455 13.0 25.5 10.5 19.0 10.0 19.5WI VILAS BOULDER L 105 1,238 64 1,407 12.0 28.0 9.0 20.0 10.0 14.5WI VILAS FOREST L 122 769 43 934 14.0 27.0 12.5 20.0 9.0 19.0WI VILAS HARRIS L 81 863 0 944 13.0 27.5 7.0 19.0WI VILAS KENTUCK L 203 106 1 310 16.0 27.0 11.5 20.0 15.0 15.0WI VILAS LITTLE ARBOR VITAE L 41 176 13 230 15.5 28.0 12.5 24.5 14.0 23.5WI VILAS SHERMAN L 23 389 10 422 11.5 25.5 9.0 16.5 10.0 18.5WI VILAS SQUAW L 93 1,096 28 1,217 11.5 17.0 9.5 16.5 10.0 13.5WI VILAS TWIN L CHAIN 261 3,903 47 4,211 11.5 30.5 9.0 19.5 10.0 17.5WI WASHBURN BASS-PATTERSON L 19 724 111 854 14.0 28.5 10.0 20.0 10.0 19.5WI WASHBURN MIDDLE MCKENZIE L 1 128 6 135 25.5 25.5 13.5 26.5 14.0 25.0

OVERALL 1,587 16,426 646 18,659 10.0 30.5 7.0 26.5 9.0 25.0

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Table A3 Number of Walleye Aged by Sex and Length From Spring 2013 Adult Population EstimateSiskiwit Lake, Bayfield County, Wisconsin

INCH AGE 1 AGE 2 AGE 3 AGE 4 AGE 5 AGE 6 AGE 7 AGE 8 AGE 9 AGE 10+ TOTALGROUP F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U ALL

3456789

10 1 1 2 211 13 6 1 19 1 2012 4 10 6 1 20 1 2113 10 1 9 1 1 20 2 2214 1 1 2 10 6 3 1 4 20 2415 1 3 2 5 3 1 1 3 13 1616 2 1 2 1 1 3 1 3 4 10 1417 2 1 2 1 1 6 1 718 2 1 1 1 4 1 519 1 1 120 1 1 121222324252627282930

TOTALS 18 1 28 2 3 28 2 6 13 1 8 5 2 3 5 4 4 23 106 4 133Number of female year classes: 7 Number of male year classes: 8

Table A4 Number of Walleye Aged by Sex and Length From Spring 2013 Adult Population EstimateButternut Lake, Forest County, Wisconsin

INCH AGE 1 AGE 2 AGE 3 AGE 4 AGE 5 AGE 6 AGE 7 AGE 8 AGE 9 AGE 10+ TOTALGROUP F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U ALL

3456789

101112 6 4 10 1013 7 10 3 1 1 21 1 2214 1 9 4 2 2 2 1 1 20 2115 7 1 6 1 4 2 2 19 2116 1 1 1 2 1 4 6 3 10 4 10 23 3317 1 2 1 2 6 5 9 4 10 20 3018 1 3 3 4 1 5 1 8 10 1819 4 3 1 1 2 8 3 1120 2 2 4 421 1 1 122 1 1 123242526272829 1 1 130

TOTALS 1 14 23 2 8 5 12 16 23 1 19 27 2 16 1 3 46 126 1 173Number of female year classes: 7 Number of male year classes: 8

16

Table A5 Number of Walleye Aged by Sex and Length From Spring 2013 Adult Population EstimateFranklin Lake, Forest County, Wisconsin

INCH AGE 1 AGE 2 AGE 3 AGE 4 AGE 5 AGE 6 AGE 7 AGE 8 AGE 9 AGE 10+ TOTALGROUP F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U ALL

3456789

1011 2 2 212 1 2 4 5 2 713 1 1 3 1 2 6 2 814 1 1 1 1 3 1 415 2 3 2 2 3 4 9 7 1616 3 1 5 1 1 2 11 2 1317 3 1 5 1 1 10 1 1118 1 1 1 1 219 1 1 5 4 1 10 1120 1 1 1 1 3 2 5 721 2 1 1 1 1 3 1 2 622 4 2 1 2 1 9 1 1023 1 1 2 224 2 2 2252627282930

TOTALS 5 3 2 1 13 4 1 14 4 4 7 5 5 12 2 3 9 1 5 1 19 63 19 101Number of female year classes: 6 Number of male year classes: 7

Table A6 Number of Walleye Aged by Sex and Length From Spring 2013 Adult Population EstimateJungle Lake, Forest County, Wisconsin

INCH AGE 1 AGE 2 AGE 3 AGE 4 AGE 5 AGE 6 AGE 7 AGE 8 AGE 9 AGE 10+ TOTALGROUP F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U ALL

3456789

1011 3 3 312 18 5 18 5 2313 14 1 1 14 2 1614 1 1 5 4 11 1115 1 1 1 2 2 8 1 6 1 1 5 19 2416 1 4 3 4 9 2 5 1 11 18 2917 2 7 2 1 2 2 10 6 1618 2 4 1 6 1 7192021222324252627282930

TOTALS 32 9 2 1 1 2 3 10 16 16 21 3 8 5 32 87 10 129Number of female year classes: 5 Number of male year classes: 7

17

Table A7 Number of Walleye Aged by Sex and Length From Spring 2013 Adult Population EstimateSquirrel Lake, Oneida County, Wisconsin

INCH AGE 1 AGE 2 AGE 3 AGE 4 AGE 5 AGE 6 AGE 7 AGE 8 AGE 9 AGE 10+ TOTALGROUP F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U ALL

3456789

10 1 3 2 1 7 711 5 7 5 3 20 2012 1 1 11 6 1 1 1 20 2113 4 7 1 8 2 2 2 1 7 20 2714 4 3 6 3 8 1 3 1 2 1 11 21 3215 2 5 2 3 1 9 2 6 1 1 11 21 3216 2 1 4 1 5 5 3 6 2 1 16 14 3017 1 2 5 3 2 1 3 1 15 3 1818 2 5 1 5 2 14 1 1519 1 4 1 1 3 7 3 1020 1 1 1 3 6 621 2 1 3 322 1 1 123 3 3 324 1 2 3 3252627282930

TOTALS 7 9 30 13 29 19 20 23 20 12 14 9 5 13 5 98 130 228Number of female year classes: 7 Number of male year classes: 8

Table A8 Number of Walleye Aged by Sex and Length From Spring 2013 Adult Population EstimateAnnabelle Lake, Vilas County, Wisconsin

INCH AGE 1 AGE 2 AGE 3 AGE 4 AGE 5 AGE 6 AGE 7 AGE 8 AGE 9 AGE 10+ TOTALGROUP F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U ALL

3456789

10 2 10 2 2 12 1411 1 5 4 14 1 2 6 21 2712 1 7 3 7 12 1 3 16 18 3413 1 2 1 10 7 2 5 1 14 15 2914 1 2 2 3 3 2 1 1 9 6 1515 1 2 1 2 2 416 1 1 2 2171819 1 1 2 22021222324252627 1 1 1282930

TOTALS 4 16 14 20 20 23 7 12 6 2 1 1 1 1 54 74 128Number of female year classes: 8 Number of male year classes: 6

18

Table A9 Number of Walleye Aged by Sex and Length From Spring 2013 Adult Population EstimateBig Lake (Boulder Jct), Vilas County, Wisconsin

INCH AGE 1 AGE 2 AGE 3 AGE 4 AGE 5 AGE 6 AGE 7 AGE 8 AGE 9 AGE 10+ TOTALGROUP F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U ALL

3456789

10 1 7 3 1 10 1111 3 7 6 13 1 9 21 3012 9 17 1 3 10 20 3013 9 3 4 17 1 14 20 3414 1 9 10 4 10 1 14 21 3515 1 3 3 4 9 5 1 7 19 2616 5 1 3 1 2 2 9 5 1417 1 1 2 1 1 2 1 4 5 918 3 4 1 8 819 1 4 1 6 620 1 1 121 1 1 1222324252627282930

TOTALS 4 14 25 37 22 36 16 19 12 9 5 4 1 1 84 121 205Number of female year classes: 6 Number of male year classes: 8

Table A10 Number of Walleye Aged by Sex and Length From Spring 2013 Adult Population EstimateBig Muskellunge Lake, Vilas County, Wisconsin

INCH AGE 1 AGE 2 AGE 3 AGE 4 AGE 5 AGE 6 AGE 7 AGE 8 AGE 9 AGE 10+ TOTALGROUP F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U ALL

3456789

10 3 1 4 1 7 811 9 2 15 24 2 2612 10 10 20 2013 1 1 2 1 17 1 2 21 2314 2 2 15 1 3 3 20 2315 1 3 3 1 7 1 10 1 6 21 2716 3 1 2 2 5 9 12 10 24 3417 5 1 4 2 4 3 9 10 1918 4 3 1 7 1 819 1 1 1 2 3 2 52021 1 1 2 222232425 1 1 12627282930

TOTALS 3 11 6 2 27 7 33 15 26 15 24 16 1 3 3 4 43 144 9 196Number of female year classes: 6 Number of male year classes: 8

19

Table A11 Number of Walleye Aged by Sex and Length From Spring 2013 Adult Population EstimateBoulder Lake, Vilas County, Wisconsin

INCH AGE 1 AGE 2 AGE 3 AGE 4 AGE 5 AGE 6 AGE 7 AGE 8 AGE 9 AGE 10+ TOTALGROUP F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U ALL

3456789 4 4 4

10 11 3 14 1411 9 2 11 1 1 21 3 2412 1 3 13 1 8 3 21 2 2613 6 1 7 18 1 1 1 14 20 1 3514 1 10 6 14 11 20 3115 11 3 3 12 4 14 19 3316 4 4 10 3 4 17 2117 2 2 1 5 1 4 7 1118 3 2 1 1 5 6 6 1219 1 1 2 1 4 1 520 1 1 1 1 221 1 1 2 222 6 6 623 1 1 124 1 1 1252627 1 1 128 1 1 12930

TOTALS 4 20 3 10 28 2 34 36 1 9 27 3 8 2 11 3 9 12 8 73 151 6 230Number of female year classes: 7 Number of male year classes: 7

Table A12 Number of Walleye Aged by Sex and Length From Spring 2013 Adult Population EstimateForest Lake, Vilas County, Wisconsin

INCH AGE 1 AGE 2 AGE 3 AGE 4 AGE 5 AGE 6 AGE 7 AGE 8 AGE 9 AGE 10+ TOTALGROUP F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U ALL

3456789

1011 1 1 112 2 1 1 3 1 413 1 3 1 11 5 14 7 2114 3 1 16 2 3 3 20 2 2515 1 1 9 1 10 2 20 2216 2 3 9 11 5 20 2517 3 1 1 4 2 1 9 8 9 20 2918 1 1 6 2 7 3 10 10 2019 5 5 1 1 1 4 11 6 1720 1 8 2 2 11 2 1321 1 1 122 1 1 2 223242526 1 1 127 1 1 1282930

TOTALS 2 3 6 2 7 29 7 5 13 17 21 17 21 3 16 4 9 56 115 11 182Number of female year classes: 7 Number of male year classes: 7

20

Table A13 Number of Walleye Aged by Sex and Length From Spring 2013 Adult Population EstimateHarris Lake, Vilas County, Wisconsin

INCH AGE 1 AGE 2 AGE 3 AGE 4 AGE 5 AGE 6 AGE 7 AGE 8 AGE 9 AGE 10+ TOTALGROUP F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U ALL

3456789

10 1 7 8 811 5 12 3 20 2012 1 4 15 20 2013 2 4 19 1 6 20 2614 5 9 3 7 2 2 1 10 19 2915 2 1 3 7 2 7 1 5 8 20 2816 2 4 1 4 3 1 3 3 11 10 2117 1 1 1 6 1 1 1 1 8 5 1318 1 1 2 1 5 519 3 1 2 1 1 7 1 820 1 1 121 3 3 322 4 4 423 1 1 2 224 1 3 4 425 1 1 126 2 2 227 2 2 2282930

TOTALS 1 13 2 16 13 48 12 17 18 14 11 10 8 4 10 74 123 197Number of female year classes: 7 Number of male year classes: 8

Table A14 Number of Walleye Aged by Sex and Length From Spring 2013 Adult Population EstimateKentuck Lake, Vilas County, Wisconsin

INCH AGE 1 AGE 2 AGE 3 AGE 4 AGE 5 AGE 6 AGE 7 AGE 8 AGE 9 AGE 10+ TOTALGROUP F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U ALL

3456789

1011 1 1 112 1 1 2 213 2 5 3 10 1014 10 15 4 1 30 3015 2 9 8 6 25 2516 1 3 3 1 6 717 1 1 1 1 218 1 1 1 1 2 319 2 1 3 320 1 1 1 3 321 2 3 5 522 2 3 7 12 1223 2 1 11 14 1424 1 1 8 10 1025 2 12 14 1426 4 4 427 1 1 1282930

TOTALS 1 2 19 1 28 3 15 10 11 7 1 47 1 69 77 146Number of female year classes: 6 Number of male year classes: 7

21

Table A15 Number of Walleye Aged by Sex and Length From Spring 2013 Adult Population EstimateLittle Arbor Vitae Lake, Vilas County, Wisconsin

INCH AGE 1 AGE 2 AGE 3 AGE 4 AGE 5 AGE 6 AGE 7 AGE 8 AGE 9 AGE 10+ TOTALGROUP F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U ALL

3456789

1011 1 1 112 1 1 2 213 1 1 2 214 1 8 8 1 915 1 3 10 3 1 2 3 1 19 3 2316 1 1 1 3 2 7 7 3 2 21 2 2517 1 5 3 1 10 1018 1 1 2 2 5 1 10 1119 1 1 1 1 1 1 4 3 7 1020 1 1 2 1 4 1 6 2 921 1 3 1 1 3 1 522 1 1 1 1 2 1 5 2 723 4 2 5 9 2 1124 2 5 1 7 1 825 5 5 526 1 2 3 32728 1 1 12930

TOTALS 3 1 6 1 2 23 5 4 15 2 15 1 7 2 9 4 3 20 17 2 39 90 13 142Number of female year classes: 7 Number of male year classes: 8

Table A16 Number of Walleye Aged by Sex and Length From Spring 2013 Adult Population EstimateSherman Lake, Vilas County, Wisconsin

INCH AGE 1 AGE 2 AGE 3 AGE 4 AGE 5 AGE 6 AGE 7 AGE 8 AGE 9 AGE 10+ TOTALGROUP F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U ALL

3456 5 5 57 11 11 118 6 6 69 5 5 1 6 5 11

10 14 9 44 1 58 10 6811 1 1 1 57 7 1 58 8 6712 2 40 3 1 11 1 3 52 3 5813 1 14 1 1 5 1 2 20 1 2314 1 5 1 5 3 2 1 5 13 1815 1 1 2 1 3 2 516 1 2 1 1 1 2 3 1 617 1 2 2 1 318 1 2 1 3 1 419 1 1 2 220 1 1 12122232425 1 1 2 22627282930

TOTALS 22 20 15 5 162 13 3 21 6 8 3 7 2 1 1 1 23 213 54 290Number of female year classes: 6 Number of male year classes: 5

22

Table A17 Number of Walleye Aged by Sex and Length From Spring 2013 Adult Population EstimateSquaw Lake, Vilas County, Wisconsin

INCH AGE 1 AGE 2 AGE 3 AGE 4 AGE 5 AGE 6 AGE 7 AGE 8 AGE 9 AGE 10+ TOTALGROUP F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U ALL

3456789

10 7 3 10 1011 2 14 1 5 1 1 22 2312 2 5 1 10 4 3 19 2213 1 3 1 11 6 10 11 2 1 27 19 4614 3 11 3 12 1 2 6 1 2 1 30 12 4215 1 1 5 3 4 1 4 10 9 1916 1 1 1 1 4 1 5 4 917 1 1 118192021222324252627282930

TOTALS 1 9 9 23 26 24 28 17 8 10 2 3 2 8 1 1 77 95 172Number of female year classes: 8 Number of male year classes: 8

Table A18 Number of Walleye Aged by Sex and Length From Spring 2013 Adult Population Estimate Twin Lake Chain, Sawyer County, Wisconsin

INCH AGE 1 AGE 2 AGE 3 AGE 4 AGE 5 AGE 6 AGE 7 AGE 8 AGE 9 AGE 10+ TOTALGROUP F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U ALL

3456789

10 6 4 10 1011 5 14 1 1 19 2012 6 9 1 5 1 20 2113 4 7 11 3 5 10 20 3014 3 6 4 7 1 7 2 10 20 3015 6 1 4 4 10 3 2 10 20 3016 1 1 3 4 2 1 7 6 1 4 10 20 3017 1 3 5 1 1 3 7 1 10 11 1 2218 1 2 3 1 8 7 8 1519 2 1 1 1 2 5 2 720 1 1 1212223 2 2 224252627282930 1 1 1

TOTALS 17 3 31 22 22 14 16 15 19 2 13 5 9 7 23 1 68 150 1 219Number of female year classes: 7 Number of male year classes: 8

23

Table A19 Number of Walleye Aged by Sex and Length From Spring 2013 Adult Population EstimateBass-Patterson Lake, Washburn County, Wisconsin

INCH AGE 1 AGE 2 AGE 3 AGE 4 AGE 5 AGE 6 AGE 7 AGE 8 AGE 9 AGE 10+ TOTALGROUP F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U ALL

3456789

10 1 1 111 12 9 21 2112 7 13 20 2013 13 7 20 2014 1 1 11 1 8 2 20 2215 4 9 8 3 4 20 2416 1 1 12 3 1 16 1717 1 2 1 1 3 2 518 1 1 1 1 21920 1 1 12122 1 1 1232425262728 1 1 12930

TOTALS 21 6 56 5 35 1 7 2 1 1 14 121 135Number of female year classes: 5 Number of male year classes: 5

Table A20 Number of Walleye Aged by Sex and Length From Spring 2013 Adult Population EstimateMiddle Mckenzie Lake, Washburn County, Wisconsin

INCH AGE 1 AGE 2 AGE 3 AGE 4 AGE 5 AGE 6 AGE 7 AGE 8 AGE 9 AGE 10+ TOTALGROUP F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U F M U ALL

3456789

10111213 1 1 114 7 2 1 10 1015 7 1 1 9 916 3 4 1 1 9 917 1 1 5 3 10 1018 4 1 1 6 619 1 4 5 10 1020 2 3 5 10 1021 1 2 7 10 1022 9 9 923 8 8 824 1 1 125 1 1 1 1 226 1 1 127282930

TOTALS 12 14 11 7 7 1 12 32 1 95 96Number of female year classes: 1 Number of male year classes: 7

24

Appendix B: Fall Recruitment Survey Data Figure Page B1. Ceded territory in Wisconsin, Michigan, and Minnesota with

number of lakes per county where fall electrofishing surveys were conducted by GLIFWC during 2013 26

B2. Means of Age 0 and Age 1 Walleye CPEs, Wisconsin Fall Surveys 1986–2013 27 B3. Medians of Age 0 and Age 1 Walleye CPEs, Wisconsin Fall Surveys 1986–2013 27 B4. Length Frequency of Walleye Captured, Fall 2013

Walleye Recruitment Survey, Mille Lacs Lake 28 B5. Mille Lacs Lake Walleye CPEs GLIFWC Surveys, 1993 - 2013 28 B6. Age 0 CPE by Code for GLIFWC 2013 Recruitment Surveys 29 B7. Age 1 CPE by Code for GLIFWC 2013 Recruitment Surveys 29 Table Page B1. Description of Walleye Recruitment Source Codes 30 B2. Fall 2013 Recruitment Surveys Conducted by GLIFWC 31 B3. Summary of Age 0 and Age 1 Catch per Effort Rates During

Fall 2013 Recruitment Surveys Conducted by GLIFWC 31

25

0 40 80 120 16020Miles

®

26

Data represents NR and C-NR lakes in Wisconsin with at least 75% of the shoreline surveyed, and includes Wisconsin DNR data and all cases with CPEs of 0.

0

10

20

30

40

50

60

1986 1991 1996 2001 2006 2011

Num

ber p

er M

ile

Year Class

Means of Age 0 and Age 1 Walleye CPEs in Wisconsin

Age 0

Age 1

Average of Yearly Means of Age 0 CPEs

Average of Yearly Means of Age 1 CPEs

Figure B2

0

10

20

30

40

50

60

1986 1991 1996 2001 2006 2011

Num

ber p

er M

ile

Year Class

Medians of Age 0 and Age 1 Walleye CPEs in Wisconsin

Age 0

Age 1

Average of Yearly Medians of Age 0 CPEs

Average of Yearly Medians of Age 1 CPEs

Figure B3

27

0100200300400500600700800900

1,0001,1001,2001,3001,4001,5001,600

3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0 13.5 14.0 14.5 15.0

Num

ber o

f Wal

leye

Inch Group

Length Frequency of Walleye CapturedFall 2013 Walleye Recruitment Survey, Mille Lacs Lake

Figure B4

Data shown for walleye less than 15.5 inches

0

25

50

75

100

125

150

175

1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012

Num

ber p

er M

ile

Year

Mille Lacs Lake Fall Walleye CPEs from GLIFWC Surveys

Age 0

Age 1

Figure B5

28

29

Table B1. Description of Walleye Recruitment Source Codes. Code Recruitment Code Description NR = Natural reproduction provides the only source of recruitment to the adult population and is consistent enough to result in an adult population with multiple year-classes present. NR-2 = Natural reproduction provides the only source of recruitment to the population, but adult density is low, presumably resulting from weak or inconsistent year-classes. C-NR = Natural reproduction is sufficient to sustain the adult population, but stocking occurs for non-biological reasons and may or may not augment the adult population (e.g., NR lakes stocked back with fry after spawn collection, NR lakes stocked by lake associations). C- = Natural reproduction and stocking provide more or less equal recruitment to the population, or the relative contributions of natural reproduction and stocking are not understood well enough to make an accurate judgement as to the dominant source. C-ST = Stocking provides the dominant source of recruitment to the adult population but natural reproduction occurs and may augment the adult population to a lesser extent (e.g., NR-2 lakes that are stocked to produce greater abundance). ST = Stocking provides the only source of recruitment to the adult population. If stocking is regular then the adult population may consist of multiple year- classes; if irregular, then the population may consist of one or two year- classes with perhaps only large fish. REM = Absence of recruitment to the adult population due to discontinued stocking or habitat changes has resulted in a remnant population of adults; the stock will disappear at some point in the future. O-ST = Stocking provides the only source of recruitment to the population in an attempt

to establish an adult population, but survey data is either not available or indicates that adult density is less than 0.5 per acre.

O = Walleye are not present.

30

Table B2. Fall 2013 Walleye Recruitment Surveys Conducted by GLIFWCWISCONSIN Surface 2013 Age 0 Age 0 Age 0 Age 1 Age 1 Age 1

Area Walleye Date Age 0 Age 0 Min Max Mean Age 1 Age 1 Min Max Mean Total Miles Shore Hours Temp- Other SpeciesCounty Lake (Acres) Code Surveyed CPE Walleye Length Length Length CPE Walleye Length Length Length Walleye Surveyed Miles Surveyed erature MUE NOP LMB SMBBARRON RED CEDAR L 1,841 C-NR 9/23 7.8 97 3.9 7.5 7.0 87 8.0 10.0 365 12.4 15.9 5.70 64BARRON SILVER L 337 C-NR 10/14 18.4 81 3.8 7.8 5.3 0.7 3 10.9 11.6 11.3 87 4.4 4.4 1.58 57BAYFIELD BUSKEY BAY 100 NR 9/12 0.4 1 4.1 4.1 4.1 0.0 0 1 2.4 2.4 0.98 70 4 2 28BAYFIELD HART L 259 NR 9/10 1.7 6 4.2 4.7 4.5 0.0 0 8 3.5 3.5 1.64 67 1 8 16BAYFIELD L MILLICENT 183 NR 9/10 0.3 1 6.3 6.3 6.3 0.0 0 4 3.8 3.8 0.98 68 4 8BAYFIELD L OWEN 1,323 C-ST 9/10 0.9 22 4.3 6.7 5.4 0.1 3 8.4 9.7 9.2 44 24.0 24.0 9.87 69 17BAYFIELD NAMEKAGON L 3,227 NR 10/2 0.1 3 5.8 6.5 6.2 5.2 158 7.2 10.5 9.4 396 30.2 43.6 11.20 62 2 1BAYFIELD SISKIWIT L 330 NR 9/18 12.8 51 5.0 6.4 5.7 36.5 146 7.6 9.9 8.7 254 4.0 4.0 2.24 64BAYFIELD TWIN BEAR L 172 NR 9/10 0.5 2 4.9 5.0 5.0 0.0 0 5 3.9 3.9 1.15 67 9 3 19BAYFIELD UPPER EAU CLAIRE L 996 C-NR 9/11 0.3 3 5.9 6.5 6.2 0.0 0 20 11.1 11.1 2.91 70BURNETT ROONEY L 322 ST 10/16 0.0 0 0.0 0 1 4.1 4.1 1.55 53 2 18BURNETT YELLOW L 2,287 C-NR 9/25 2.9 23 4.3 6.9 5.9 1.8 14 8.8 11.9 10.6 75 7.9 7.9 1.98 67DOUGLAS L NEBAGAMON 914 C-NR 9/12 1.4 15 4.4 7.1 10.0 108 7.3 11.2 144 10.8 10.8 4.50 67DOUGLAS LOWER EAU CLAIRE L 802 NR 10/1 14.0 109 4.8 7.3 5.9 0.8 6 8.4 10.2 9.4 130 7.8 7.8 2.43 63DOUGLAS WHITEFISH L 832 NR 9/25 13.8 95 3.9 8.3 6.0 0.1 1 9.0 9.0 9.0 117 6.9 6.9 3.88 65FOREST L LUCERNE 1,026 C-NR 9/17 1.1 10 4.6 6.2 5.7 0.6 5 9.2 11.6 10.3 17 8.8 10.5 3.98 66 1 18 146FOREST LILY L 213 NR 9/16 0.0 0 13.3 68 8.4 11.2 10.1 151 5.1 5.1 2.09 67IRON TURTLE-FLAMBEAU FL 13,545 NR 9/16 25.2 646 3.6 7.0 5.0 13.7 350 7.1 10.1 8.4 1,159 25.6 211.0 11.32 64LANGLADE ENTERPRISE L 505 NR 9/24 0.3 2 4.7 5.6 5.2 24.0 144 7.2 9.8 8.7 214 6.0 6.0 2.50 64LINCOLN L MOHAWKSIN 1,910 NR 10/10 8.4 87 3.6 6.3 4.9 23.0 237 6.9 10.1 8.6 428 10.3 35.2 3.99 57LINCOLN L NOKOMIS 2,433 NR 10/8 53.5 834 3.4 6.7 4.7 21.9 342 7.5 11.1 9.7 1,229 15.6 38.5 7.05 56ONEIDA BEARSKIN L 400 NR 9/24 145.9 817 4.2 6.8 5.6 43.4 243 7.1 10.4 9.2 1,220 5.6 5.6 3.14 67ONEIDA BIG FORK L 690 NR 10/7 79.3 428 3.6 6.6 5.3 22.4 121 6.8 9.2 8.2 612 5.4 5.4 2.35 59ONEIDA BIG L 865 NR 10/1 1.2 8 4.2 6.6 5.3 17.6 116 6.7 8.4 7.6 297 6.6 6.6 2.73 61ONEIDA BIG STONE L 548 NR 10/3 7.7 37 3.7 6.3 5.1 22.9 110 6.6 8.8 7.8 317 4.8 4.8 2.28 61ONEIDA BUCKSKIN L 634 C-NR 10/15 5.4 34 4.4 7.0 5.3 15.9 100 8.0 11.2 9.9 155 6.3 6.3 2.53 51ONEIDA CHAIN L 219 NR 9/26 0.0 0 0.0 0 1 3.0 3.0 1.29 63ONEIDA CLEAR L 846 NR 9/23 1.9 26 4.2 8.2 5.4 0.5 7 8.5 10.6 9.6 50 13.8 13.8 6.09 63 1 3ONEIDA CRESCENT L 612 NR 9/18 14.5 107 4.5 6.6 5.8 7.7 57 8.1 10.6 9.6 277 7.4 7.4 3.75 66ONEIDA DAM L 744 NR 10/9 2.7 21 4.3 6.7 5.8 51.4 396 6.8 9.0 7.7 497 7.7 7.7 2.45 59ONEIDA GEORGE L 435 NR 9/25 2.4 13 4.9 6.7 5.6 22.9 126 7.0 8.7 8.0 310 5.5 5.5 2.75 63ONEIDA HASBROOK L 302 NR 10/17 111.8 492 4.0 7.4 5.8 37.0 163 7.6 11.4 9.5 668 4.4 4.4 2.33 55ONEIDA KATHERINE L 590 NR 10/14 4.2 45 5.5 7.2 6.4 5.0 53 9.5 11.6 10.7 119 10.7 10.7 4.39 56ONEIDA LITTLE FORK L 354 NR 10/8 24.4 127 4.2 6.3 5.5 12.1 63 7.4 8.9 8.3 264 5.2 5.2 1.87 58ONEIDA MANSON L 236 C-NR 10/9 0.0 0 0.0 0 22 3.6 3.6 1.78 61ONEIDA MEDICINE L 372 NR 10/23 12.1 58 4.6 6.9 5.5 9.0 43 7.6 9.6 8.6 134 4.8 4.8 2.25 47ONEIDA PELICAN L 3,585 NR 10/2 25.4 330 3.9 8.4 12.0 156 8.5 10.0 877 13.0 13.0 8.70 61 5 53 87 32ONEIDA PLANTING GROUND L 1,012 NR 10/3 27.5 289 3.7 7.4 5.0 19.6 206 7.5 10.6 8.8 557 10.5 10.5 3.88 59ONEIDA RAINBOW FL 2,035 NR 10/24 53.1 260 4.0 7.2 5.8 6.1 30 7.4 10.4 8.9 313 4.9 22.3 3.50 41 5 1ONEIDA SAND L 540 NR 10/10 0.2 1 5.6 5.6 5.6 23.1 111 7.1 9.8 8.4 161 4.8 4.8 2.34 59ONEIDA SQUASH L 396 NR 10/10 0.8 6 6.0 7.2 6.7 0.0 0 10 7.4 7.4 2.64 61 49 62 15ONEIDA SQUIRREL L 1,317 NR 9/26 46.7 649 3.9 7.1 5.6 2.1 29 8.9 10.4 9.7 773 13.9 13.9 5.36 62ONEIDA TOMAHAWK L 3,392 C-ST 9/25 0.3 5 5.7 6.2 5.9 0.5 9 8.4 10.0 9.7 159 16.9 30.2 7.45 62 14 5ONEIDA WILLOW FL 5,135 NR 10/7 24.2 392 3.6 7.0 4.8 21.4 346 7.2 10.9 8.7 777 16.2 98.5 3.73 58POLK BALSAM L 2,054 C-ST 10/8 0.0 0 0.0 1 11.5 11.5 1 22.7 22.7 7.10 60POLK BIG BUTTERNUT L 378 C-ST 9/18 0.0 0 0.0 0 8 3.4 3.4 1.00 65 12POLK BIG ROUND L 1,015 ST 10/10 0.0 0 0.2 1 7.9 7.9 7.9 2 5.7 5.7 2.18 60 34POLK HALF MOON L 579 O-ST 10/15 0.0 0 0.0 0 46 7.1 7.1 1.85 56POLK MAGNOR L 231 C-ST 10/3 0.0 0 2.3 6 9.6 10.2 9.9 26 2.6 2.6 0.99 61PRICE BUTTERNUT L 1,006 NR 9/23 49.6 555 4.0 7.9 6.6 65.2 730 8.0 10.3 9.3 2,186 11.2 11.2 6.37 62PRICE PIKE L 806 NR 10/9 1.2 13 4.6 6.9 5.9 16.0 174 7.2 9.8 8.8 342 10.9 10.9 3.02 58PRICE ROUND L 726 NR 10/8 26.7 136 4.4 7.0 6.2 43.5 222 7.3 10.0 8.8 589 5.1 5.1 2.84 58 2RUSK POTATO L 534 ST 10/9 0.0 0 0.5 4 8.9 10.9 9.9 29 7.4 9.2 2.25 61 3RUSK SAND L 262 C-NR 10/17 28.8 138 5.5 7.1 6.6 14.0 67 7.2 8.6 7.5 206 4.8 4.8 1.88 56SAWYER L CHETAC 1,920 C-NR 9/24 0.0 0 2.5 41 7.8 10.2 9.3 124 16.2 17.5 6.06 65SAWYER L CHIPPEWA 15,300 C-NR 9/10 0.0 0 4.2 50 8.1 11.2 9.5 98 12.0 232.9 4.54 71SAWYER LAC COURTE OREILLES 5,039 C-NR 9/18 13.6 346 3.6 6.8 5.3 0.6 14 7.7 10.0 8.8 402 25.4 25.4 12.05 66SAWYER LOST LAND L 1,304 C-ST 9/12 0.1 1 7.8 7.8 0.3 3 10.0 10.7 11 10.7 11.3 4.40 68 1SAWYER NELSON L 2,503 C-ST 9/17 0.1 1 6.5 6.5 6.5 0.4 8 7.7 9.1 8.4 67 19.1 31.4 7.73 64 31SAWYER ROUND L 3,054 C-NR 9/16 15.2 303 4.9 7.2 6.0 0.6 12 8.4 10.4 9.5 321 19.9 20.2 8.23 68SAWYER SISSABAGAMA L 719 C-NR 9/9 0.0 0 0.7 6 7.8 9.7 8.8 24 8.2 8.2 2.74 66 6 4 13SAWYER WINDFALL L 102 NR 9/19 133.8 214 3.6 6.9 4.9 5.6 9 9.0 10.8 10.1 254 1.6 1.6 0.88 66VILAS ANNABELLE L 213 NR 9/17 4.8 20 5.3 6.9 6.0 9.0 38 7.6 9.8 9.0 160 4.2 4.2 2.32 63VILAS BALLARD L 505 C-ST 10/16 0.0 0 0.0 0 7 5.5 5.5 2.05 51VILAS BIG L (BOULDER JCT) 835 NR 10/2 39.0 374 5.1 8.1 6.6 20.2 194 8.5 11.9 10.5 590 9.6 9.6 4.08 60VILAS BIG L (MI BORDER) 771 NR 9/11 5.9 81 3.9 6.3 5.1 11.5 159 6.4 9.8 8.5 365 13.8 13.8 5.19 68VILAS BIG MUSKELLUNGE L 930 NR 10/8 72.7 742 3.3 7.1 4.6 13.3 136 7.2 10.6 9.0 905 10.2 10.2 3.62 57VILAS BIG PORTAGE L 638 NR 9/24 47.6 324 4.0 7.9 5.9 14.9 101 8.1 10.9 9.7 449 6.8 6.8 2.99 61VILAS BIG ST GERMAIN L 1,617 C-NR 9/30 0.0 0 22.8 173 8.2 11.0 9.7 200 7.6 7.6 3.32 60

31

WISCONSIN Surface 2013 Age 0 Age 0 Age 0 Age 1 Age 1 Age 1Area Walleye Date Age 0 Age 0 Min Max Mean Age 1 Age 1 Min Max Mean Total Miles Shore Hours Temp- Other Species

County Lake (Acres) Code Surveyed CPE Walleye Length Length Length CPE Walleye Length Length Length Walleye Surveyed Miles Surveyed erature MUE NOP LMB SMBVILAS BOULDER L 524 NR 10/2 184.3 1,106 3.5 6.9 5.4 17.7 106 7.1 9.9 8.5 1,294 6.0 7.7 3.19 62VILAS CLEAR L 555 NR 10/10 10.0 52 4.4 7.4 6.1 1.0 5 9.5 10.3 9.9 68 5.2 7.1 2.26 58VILAS CRAB L 949 NR 10/14 14.9 235 3.9 7.6 6.2 5.1 81 7.8 11.2 9.6 355 15.8 15.8 7.03 55VILAS FOREST L 466 NR 9/17 44.7 313 3.5 6.5 4.4 1.0 7 8.0 9.5 8.8 328 7.0 7.0 2.92 67VILAS HARRIS L 507 NR 9/16 12.3 74 4.9 6.9 6.2 0.3 2 10.6 11.0 10.8 101 6.0 6.0 2.56 65VILAS HIGH L 734 NR 9/11 0.0 0 0.0 0 0 7.4 7.4 2.76 69 21 9VILAS HORSEHEAD L 234 NR 9/24 45.9 188 4.1 6.9 5.2 21.0 86 7.3 10.4 9.0 297 4.1 4.1 2.35 60VILAS ISLAND L 1,023 NR 10/15 53.4 481 4.1 7.1 5.5 21.6 194 7.5 10.2 8.8 764 9.0 16.8 4.72 51VILAS KENTUCK L 957 NR 9/26 0.0 0 0.0 0 24 6.0 6.0 2.15 63VILAS LAC VIEUX DESERT 4,300 C-ST 9/30 0.3 5 5.9 7.1 6.4 0.2 3 10.0 10.9 10.4 42 16.3 16.3 7.67 60 3 11 10 19VILAS LITTLE JOHN L 166 C-NR 9/19 167.3 552 4.7 7.4 6.0 1.2 4 10.0 10.9 10.6 582 3.3 3.3 1.87 67VILAS LITTLE STAR L 244 NR 10/16 15.0 57 3.7 7.0 5.6 1.6 6 7.8 9.9 8.9 72 3.8 3.8 1.62 53 2 2 9VILAS MAMIE L 400 NR 9/12 0.8 5 5.3 6.1 5.8 14.1 83 7.4 10.0 8.8 184 5.9 5.9 2.49 64VILAS N TURTLE L 369 NR 10/15 1.8 9 5.3 7.5 5.8 5.6 28 7.8 9.5 8.5 60 5.0 5.0 2.20 54VILAS N TWIN L 2,788 NR 10/7 70.2 730 3.7 7.9 6.1 4.4 46 8.6 10.8 9.9 910 10.4 10.4 5.25 59VILAS OXBOW L 511 NR 10/17 2.4 33 5.2 6.9 6.2 31.1 420 7.1 10.0 8.8 540 13.5 13.5 6.13 51VILAS PAPOOSE L 428 C-NR 9/9 0.8 5 4.6 6.2 5.0 2.1 14 8.2 10.8 9.2 44 6.6 6.6 2.64 64VILAS PRESQUE ISLE L 1,280 NR 9/9 33.1 291 4.5 6.7 5.9 3.6 32 7.1 10.2 9.3 347 8.8 8.8 4.26 68VILAS REST L 608 NR 10/14 34.9 265 3.8 6.8 5.8 9.9 75 7.6 11.0 9.4 379 7.6 8.1 3.57 56VILAS S TURTLE L 454 NR 10/16 9.2 57 5.1 6.8 6.1 25.5 158 7.5 10.3 9.1 257 6.2 6.2 2.73 52VILAS S TWIN L 642 NR 10/7 38.1 141 5.0 7.4 6.3 5.9 22 8.8 10.8 9.7 183 3.7 3.7 1.76 58 2VILAS SHERMAN L 123 NR 9/19 55.9 123 5.0 7.1 6.1 24.5 54 8.6 11.4 10.0 193 2.2 2.2 1.36 64VILAS SPIDER L 272 NR 10/17 38.1 225 3.9 7.3 5.7 7.5 44 7.5 10.3 9.2 323 5.9 5.9 2.52 53VILAS SQUAW L 785 NR 9/25 4.8 43 4.4 6.9 6.0 24.9 224 7.7 10.4 9.1 450 9.0 9.0 4.19 65VILAS STAR L 1,206 NR 10/1 123.1 1,440 3.3 6.8 4.8 20.5 240 7.1 10.6 9.2 1,789 11.7 11.7 6.41 63VILAS TROUT L 3,816 C-ST 10/1 26.4 473 3.3 8.0 5.1 0.7 12 8.6 10.8 9.8 504 17.9 17.9 9.60 59 1VILAS WHITE SAND L 734 C-ST 9/24 4.5 25 5.4 6.7 6.2 17.3 95 7.1 10.4 9.0 133 5.5 5.5 2.41 64 1WASHBURN BALSAM L 295 C-NR 9/19 0.4 2 4.6 5.6 5.1 1.3 7 8.4 9.8 9.1 34 5.3 7.4 1.71 65WASHBURN BASS-PATTERSON L 188 NR 9/26 0.3 1 5.4 5.4 5.4 0.3 1 8.6 8.6 8.6 21 2.9 2.9 1.04 65WASHBURN LONG L 3,290 C-NR 9/30 0.4 12 4.6 6.1 5.7 0.0 0 128 28.2 38.0 11.31 63 38 99

COUNT: 99 SURVEYS ON 99 LAKES TOTALS: 16,424 8,355 31,237 888.9 375.46 22 172 336 442AVERAGES: 22.1 166 5.6 10.4 84 9.2 316

NUMBER OF SURVEYS WITH FISH CAUGHT: 82 84 98 8 13 16 18

MICHIGAN Surface 2013 Age 0 Age 0 Age 0 Age 0 Age 1 Age 1 Age 1 Age 1 TotalArea Walleye Date Age 0 Wall- Min Max Mean Age 1 Wall- Min Max Mean Wall- Miles Shore Hours Temp- Other Species

County Lake (Acres) Code Surveyed CPE eye Length Length Length CPE eye Length Length Length eye Surveyed Miles Surveyed erature MUE NOP LMB SMBBARAGA PARENT L 182 C-ST 9/23 0.0 0 0.0 0 0 2.3 2.3 1.25 58GOGEBIC L GOGEBIC 13,380 NR 9/9 9.3 240 3.6 5.7 4.7 7.5 195 6.7 9.0 7.9 824 25.9 35.0 10.66 68GOGEBIC POMEROY L 314 NR 9/12 103.8 384 3.6 7.2 6.2 35.9 133 8.4 10.8 9.8 528 3.7 3.7 2.00 69GOGEBIC TAMARACK L 335 NR 10/16 8.8 35 5.8 6.9 6.5 14.5 58 8.2 11.6 10.1 95 4.0 4.0 2.25 52HOUGHTON PORTAGE L 10,808 C-NR 9/9 0.0 1 6.5 6.5 6.5 0.0 0 3 24.4 67.4 10.43 67 5IRON HAGERMAN L 584 NR 10/22 1.3 9 4.6 6.2 5.3 1.0 7 7.9 10.4 9.2 16 7.0 7.0 2.75 50 1ONTONAGON BOND FALLS FL 2,118 C-NR 9/24 8.3 124 3.6 7.1 5.2 27.3 409 7.2 11.3 8.5 614 15.0 15.0 6.33 65

COUNT: 7 SURVEYS ON 7 LAKES TOTALS: 793 802 2,080 82.3 35.67 0 0 0 6AVERAGES: 18.8 113 5.7 12.3 115 9.1 297

NUMBER OF SURVEYS WITH FISH CAUGHT: 6 5 6 0 0 0 2

MINNESOTA Surface 2013 Age 0 Age 0 Age 0 Age 0 Age 1 Age 1 Age 1 Age 1 TotalArea Walleye Date Age 0 Wall- Min Max Mean Age 1 Wall- Min Max Mean Wall- Miles Shore Hours Temp- Other Species

County Lake (Acres) Code Surveyed CPE eye Length Length Length CPE eye Length Length Length eye Surveyed Miles Surveyed erature MUE NOP LMB SMBMILLE LACS MILLE LACS L 132516 NR 9/10 17.2 1338 3 8.2 6.4 0.5 39 8.4 11 9.9 1407 78 78 31.53 67PINE KNOMACHERS L 98 NR 10/7 0.0 0 0.0 0 6 2.6 2.6 0.89 57

COUNT: 2 SURVEYS ON 2 LAKES TOTALS: 1,338 39 1,413 80.6 32.42 0 0 0 0AVERAGES: 8.6 669 6.4 0.3 20 9.9 707

NUMBER OF SURVEYS WITH FISH CAUGHT: 1 1 2 0 0 0 0

OVERALL: 108 SURVEYS ON 108 LAKES TOTALS (OVERALL): 18,555 9,196 34,730 1,051.8 443.55 22 172 336 448AVERAGES (OVERALL): 21.6 172 5.7 10.3 85 9.2 322

NUMBER OF SURVEYS WITH FISH CAUGHT (OVERALL): 89 90 106 8 13 16 20

CPE=catch per unit effort (number of fish divided by shore miles surveyed), MUE=muskellunge, NOP=northern pike, LMB=largemouth bass, SMB=smallmouth bass.

32

Table B3 Summary of Age 0 and Age 1 Catch per Effort Rates During Fall 2013 Recruitment Surveys Conducted by GLIFWC

Including Lakes Where No Year Class Was Detected

NR and C-NR C-ST NR-2 and O-STMEAN ST. MIN. MAX. MEAN ST. MIN. MAX. MEAN ST. MIN. MAX.

AGE STATE CPE DEV. N CPE CPE CPE DEV. N CPE CPE CPE DEV. N CPE CPEWISCONSIN 25.7 39.1 84 0.0 184.3 2.3 7.0 14 0.0 26.4 0.0 1 0.0 0.0MICHIGAN 26.3 43.5 5 1.3 103.8 0.0 1 0.0 0.0 0MINNESOTA 8.6 12.1 2 0.0 17.2 0 0POOLED 25.3 38.8 91 0.0 184.3 2.2 6.8 15 0.0 26.4 0.0 1 0.0 0.0WISCONSIN 12.0 13.2 84 0.0 65.2 1.6 4.5 14 0.0 17.3 0.0 1 0.0 0.0MICHIGAN 17.2 14.3 5 1.0 35.9 0.0 1 0.0 0.0 0MINNESOTA 0.3 0.4 2 0.0 0.5 0 0POOLED 12.0 13.2 91 0.0 65.2 1.5 4.4 15 0.0 17.3 0.0 1 0.0 0.0

Excluding Lakes Where No Year Class Was Detected

NR and C-NR C-ST NR-2 and O-STMEAN ST. MIN. MAX. MEAN ST. MIN. MAX. MEAN ST. MIN. MAX.

AGE STATE CPE DEV. N CPE CPE CPE DEV. N CPE CPE CPE DEV. N CPE CPEWISCONSIN 28.7 40.3 75 0.1 184.3 4.7 9.7 7 0.1 26.4 0MICHIGAN 26.3 43.5 5 1.3 103.8 0 0MINNESOTA 17.2 1 17.2 17.2 0 0POOLED 28.4 40.0 81 0.1 184.3 4.7 9.7 7 0.1 26.4 0WISCONSIN 13.8 13.2 73 0.1 65.2 2.1 5.1 11 0.0 17.3 0MICHIGAN 17.2 14.3 5 1.0 35.9 0 0MINNESOTA 0.5 1 0.5 0.5 0 0POOLED 13.8 13.2 79 0.1 65.2 2.1 5.1 11 0.0 17.3 0

0

1

0

1

33