Sex-based trade-offs among growth, mortality, and maturation in Great Lakes yellow perch stocks

Author:

Feiner Zachary S.1,Chong Stephen C.2,Fielder David G.3,Hoyle James A.4,Knight Carey5,Lauer Thomas E.6,Thomas Michael V.7,Tyson Jeff T.8,Höök Tomas O.9

Affiliation:

1. Department of Forestry and Natural Resources, Purdue University, 195 Marsteller St., West Lafayette, IN 47906, USA.

2. Upper Great Lakes Management Unit, Fish and Wildlife Services Branch, Ontario Ministry of Natural Resources and Forestry, 1235 Queen St. East, Sault Ste. Marie, ON P6A 2E5, Canada.

3. Alpena Fisheries Research Station, Michigan Department of Natural Resources, 160 E. Fletcher, Alpena, MI 49707, USA.

4. Lake Ontario Management Unit, Ontario Ministry of Natural Resources and Forestry, 41 Fish Hatchery Ln., Picton, ON K0K 2T0, Canada.

5. Fairport Fisheries Research Unit, Ohio Department of Natural Resources, Division of Wildlife, Fairport, OH 44077, USA.

6. Aquatic Biology and Fisheries Center, Department of Biology, Ball State University, Muncie, IN 47306, USA.

7. Lake St. Clair Fisheries Research Station, Michigan Department of Natural Resources, 33135 South River Rd., Harrison Township, MI 48045, USA.

8. Sandusky Fisheries Research Unit, Ohio Department of Natural Resources, Division of Wildlife, 305 East Shoreline Drive, Sandusky, OH 44870, USA.

9. Department of Forestry and Natural Resources and Illinois–Indiana Sea Grant, Purdue University, 195 Marsteller St., West Lafayette, IN 47906, USA.

Abstract

Trade-offs among growth, mortality, and reproduction form the basis of life history theory but may vary among populations owing to local ecological conditions. We examined life history trade-offs driving variation in maturation among 13 yellow perch (Perca flavescens) stocks in the Great Lakes using sex-specific age and length at 50% maturity (A50 and L50, respectively) and probabilistic maturation reaction norm midpoints (Lp50,a). Both sexes exhibited positive correlations between growth and mortality, and faster-growing stocks were mature at younger ages but larger sizes. Male and female A50 and L50 were positively correlated among stocks, but Lp50,a estimates were negatively correlated among stocks, indicating stocks that matured at large sizes for a given age in females matured at smaller age-specific sizes in males. Female Lp50,a estimates were negatively related to growth and mortality, while male Lp50,a estimates were positively related to growth. These results suggest that (i) sex-based life history trade-offs sometimes act to differentially structure maturation schedules in males and females and (ii) males may be less responsive to changes in mortality than females.

Publisher

Canadian Science Publishing

Subject

Aquatic Science,Ecology, Evolution, Behavior and Systematics

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