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A field energy budget for northern pike, an aquatic piscivore
James S. Diana School of Natural Resources and Environment University of Michigan
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Philosophical debate A man has only enough time to do what he truly thinks is necessary (Goethe) An animal only has sufficient energy to do what is important to improve its fitness Evolutionary fitness = maximize production of successful offspring Measures of fitness = number of eggs produced, number of spawnings, growth rate Basic theoretical constraint behind energy budgets, which are believed to be highly evolved
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Energy budget Really defines how an animal makes a living
Can parallel it to a bank account Paycheck = amount of food eaten Uses = body maintenance, activity, growth, reproduction Can borrow on the short term from energy reserves in lipids, body protein, etc. On long term – has to balance, no loans
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Bioenergetic models Take known physiological information, along with growth rate, prey types, and temperature of an ecosystem/species to predict food consumption by prey type Unless ration is also measured in field, there is no way to corroborate predictions Usually assumes something regarding fish activity, for example, no cost of activity or activity doubles metabolic rate Used widely in fishery management
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Energy budget for pike in Lac Ste. Anne
We set out to determine all components of pike energy budgets in order to evaluate growth dynamics of pike and growth-reproduction tradeoffs Measured growth, activity, and ration in field, metabolism, feeding efficiency, and digestion costs in lab at field temperatures Then applied to test fit of model to real data, and evaluate reasons for errors
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Growth methodology Collect and sacrifice fish over regular periods of summer (monthly) and winter (every 2-3 months) Gillnets as collection method Only feasible method for winter collection Not very size selective for pike because they mainly catch by their teeth Evaluated seasonal dynamics for 3-year-old fish, annual values for ages 0-4
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Pattern of pike growth
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Pike pattern Males and females grow in body over summer
Females grow in gonads over winter, males in body Ovary growth much higher than testicular growth Overall females grow faster than males, must eat more
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Age Body kcal Gonad kcal Males 554 4 1 372 19 2 284 18 3 177 22 541? 34 Females 376 141 268 373 436 278 454
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Ration methods Determine stomach contents and number of empty stomachs
Pattern = asynchronous feeding with no diel pattern At any time, meal frequency is percent empty related to digestion time, fish with food estimate meal size Coupled with lab data at each temperature on digestion rate Ration = meal size divided by meal frequency
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Feeding pattern
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Diet and ration contribution
Species Number eaten Calories eaten Perch 970 (69%) 6286 (54%) Spottail shiner 322 (24%) 829 (7%) Burbot 71 (5%) 1313 (11%) Sucker 29 (2%) 2592 (22%) Whitefish 3 (0%) 140 (1%) Walleye 2 (0%) 366 (3%) Pike 1 (0%) 23 (0%)
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Size of food important Shiners and perch numerous but small
Suckers and burbot rare but large Contribute over 1/3 of annual consumption
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Daily rations Month Sex Meal Size (kcal/kg) Time between meals (days)
Daily ration (kcal/kg/d) May Male 30.4 3.1 9.6 Female 32.4 2.3 14.0 June 35.0 1.9 18.1 66.5 2.2 30.9 July 36.5 2.1 11.5 54.1 2.8 19.2 August 23.1 3.8 6.0 25.4 2.6 9.8 September 22.5 3.5 6.4 31.4 4.2 7.5 October 17.4 7.9 16.5 8.6 January 34 0.3 22.0 23 1.0 March 10.9 22 0.5 21.6 26 0.8 April 14.8 59
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Ration results Females eat more than males (17.4 vs. 11.4)
Highest consumption in spring (30-18) Spawning fast in April Low but significant consumption all winter
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Telemetry Surgically implanted transmitters
Followed fish using boats and hydrophones Had to use shore landmarks and compasses for location
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Northern pike movements
Moved largely over nearshore zone Returned to similar locations at time Home range? – if so very large Did use specific habitats
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Distances moved
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Pike habitat
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Pike activity methods Measure regularly from multiple points
Determine locations over short time intervals Can evaluate activity pattern and swimming speeds Could also use buoy array or other new methods
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Pike diel activity
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Activity summary Fish were commonly inactive, sit-and-wait predators
No displacement over 80% of the intervals observed When moved, generally moved rather slowly but constantly Most likely the cost of activity is negligible in an energy budget
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Overall energy budget balance
Calculate ration from observations, compare to ration predicted from Wisconsin bioenergetics model Evaluate errors and determine fit Evaluate reason for errors
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Budget balance
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Budget balance Lots of variation in summer, but correct overall trend
Error most likely due to errors in ration estimate For next part, accept that models of metabolism and measured growth are accurate
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Pike age-related costs
Growth Reproduction Maintenance Males 0 558 (42%) 776 (58) 1 137 (8) 77 (4) 1606 (88) 2 238 (10) 108 (5) 1992 (85) 3 192 (7) 94 (4) 2391 (89) Females 1 102 (5) 279 (14) 1662 (81) 190 (7) 286 (11) 2081 (81) 287 (8) 549 (16) 2609 (76)
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Other poor fits - esocids
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Applying bioenergetics and energetic models
Growth and reproductive tradeoffs Larger size = more energy for protecting nest, also more capable Larger size = more fecundity Older age = less likely to survive to breed Maturation is a shift of energy away from future growth into current reproduction Natural selection acts strongly on this
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Latitude and pike energetics
Growth of pike in Michigan Variation in winter 3 to 5 months Similar levels of maximum temperature Compared growth and maturation across 3 lakes Found no major differences in growth for fish from each lake
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Latitude and pike maturation
Murray Houghton Vieux Desert Males 71% 100% 80% 2 94% 3 Females 1 17% 31% 67%
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Pike maturation Not a clear latitudinal cline
Was related to intensity of fishing Fishing adds mortality, size selective for older fish, that may reduce frequency of late maturing fish in gene pool
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Stunting in pike Common pattern in inland lakes
Mature early, grow slowly, all adults reach a terminal size
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Stunting in pike Common ideas for mechanisms
High density and competition Warm water and lack of thermal refuge Lack of large prey? Perfect system for energetic modeling
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Temperature profiles
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Stunting simulations
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Problems with such simulations
No limits on fish growth, unlike nature Produces potential growth but not necessarily possible growth
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Conclusions Energy budgets can describe major decisions and allocations that have evolved in animals They require much site specific work to produce a corroborated budget They can lead to good understanding of the limits to fitness They can be useful in understanding how animals adapt to environmental challenges
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