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10/21/2011 1 Life histories of fishes Presented by Nikolai Klibansky Outline I. What is a life history? II. Life history events and traits III. Life history information in fisheries IV. Trends in empirical data V. Life history theory What is a life history? life history – the set of events and traits that define the life cycle of a species walleye (Sander vitreus) Typical life cycle of an oviparous species juvenile larvae egg adult
Transcript

10/21/2011

1

Life histories of fishesPresented by Nikolai Klibansky

Outline

I. What is a life history?II. Life history events and traits

III. Life history information in fisheriesIV. Trends in empirical data

V. Life history theory

What is a life history?life history – the set of events and traits that define the life

cycle of a species

walleye

(Sander vitreus)

Typical life cycle

of an oviparous

species

juvenile

larvae

egg

adult

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2

Life history events1. birth2. hatching3. metamorphosis4. maturity5. reproduction6. death

birthjuvenile

larvae

egg

maturity & reproduction

death

death

death

death

hatching

metamorphosis

adult

Traits we measure in individuals

1. Size2. Age

15

3

2

1

0

15

3

2

1

0

Traits we measure in individuals

1. Size2. Age3. Sex4. Maturity stage5. Fecundity

mature

immature

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Major life history in fisheries

Traits we measure in individuals

1. Sex

2. Age3. Size

4. Maturity stage5. Fecundity

Major life history traits we calculatein populations

1. Size at age (growth)2. Death and age

A. survivorshipB. mortality

3. Size at maturity4. Age at maturity5. Fecundity at size6. Fecundity at age7. Size at sex transition8. Age at sex transition

Growth

GrowthVon Bertalanffygrowth equation

t = ageLt = length at age t

L∞

= asymptotic lengthK = growth ratet0 = age when: Lt = 0

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Survivorship

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

100,000

0 5 10

Nu

mb

er

of

ind

ivid

ua

ls

Age (yrs)

Survivorship

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

100,000

0 5 10

Nu

mb

er

of

ind

ivid

ua

ls

Age (yrs)

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

100,000

0 5 10

Nu

mb

er

of

ind

ivid

ua

ls

Age (yrs)

Z=0.5

Mortality

t = ageN = number of individualsZ = mortality ratee = base of the natural log

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5

Mortality

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

100,000

0 5 10

Nu

mb

er

of

ind

ivid

ua

ls

Age (yrs)

Z=0.5

Z=1.0

Mortality

0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

100,000

0 5 10

Nu

mb

er

of

ind

ivid

ua

ls

Age (yrs)

Z=0.5

Z=1.0

Z=1.5

y = 623.83x - 448765

R² = 0.82

0

2

4

6

8

10

0 5000 10000 15000

Fecu

nd

ity

Mil

lio

ns

Total weight (g)

Fecundity at weight

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Fecundity at length

y = 59597e0.0474x

R² = 0.87

0

2

4

6

8

10

40 60 80 100

Fecu

nd

ity

Mil

lio

ns

Fork Length (cm)

y = 297743e0.3646x

R² = 0.4656

0

2

4

6

8

10

2 4 6 8 10 12

Fecu

nd

ity

Mil

lio

ns

Age (years)

Fecundity at age

Size and Age at Maturity

0 100 300 500

0.0

0.4

0.8

Total length (mm)

Pro

po

rtio

n m

atu

re

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Size and Age at Sex Change

0 100 300 500

0.0

0.4

0.8

Total length (mm)

Pro

po

rtio

n m

ale

0 2 4 6 8 10

0.0

0.4

0.8

Age (years)

Pro

po

rtio

n m

ale

Life history data and fisheries management

050

100150

200250

300350

400450

500

0

5

10

Tota

l len

gth

(mm

)

Age (yr)

0 2 4 6 8 10

0.0

0.4

0.8

Maturity ogive

Fish age (years)

Pro

po

rtio

n m

atur

e

0 2 4 6 8 10

0.0

0.4

0.8

Sex change ogive

Fish age (years)

Pro

por t

ion

mal

e

����+1 = ������−��

BIG SCARY

STOCK ASSESSMENT

MODEL

Trends in empirical data

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Teleost orders in

Winemiller and Rose (1992)

Winemiller, K.O., and Rose, K.A. 1992. Patterns of life history diversification in North American fishes - implications for population regulation. Canadian Journal of Fisheries and Aquatic Sciences 49(10): 2196-2218.

12 Clupeiformes

28 Salmoniformes

30 Cypriniformes

12 Siluriformes

71 Perciformes

16 Scorpaeniformes

11 Pleuronectiformes

216 teleost species

Age at maturity

(Average age at maturity)

-age at maturity usually <6-a little higher in marine species-mean overall = 3 years

Winemiller, K.O., and Rose, K.A. 1992. Patterns of life history diversification in North American fishes - implications for population regulation. Canadian Journal of Fisheries and Aquatic Sciences 49(10): 2196-2218.

Spawning season length

-spawning season usually < 4 months-more marine species spawn longer-mean overall = 2.7 months

Winemiller, K.O., and Rose, K.A. 1992. Patterns of life history diversification in North American fishes - implications for population regulation. Canadian Journal of Fisheries and Aquatic Sciences 49(10): 2196-2218.

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Parental care

-marine: usually no care, or placement-fresh: many with placement and/or low care

Winemiller, K.O., and Rose, K.A. 1992. Patterns of life history diversification in North American fishes - implications for population regulation. Canadian Journal of Fisheries and Aquatic Sciences 49(10): 2196-2218.

Size at sex change vs. maximum body size

Allsop, D.J., and West, S.A. 2003. Constant relative age and size at sex change for sequentially hermaphroditic fish. Journal of Evolutionary Biology 16: 921-929.

-strong relationship-Fish change sex at:

80% maximum size2.5 times size at maturity

Reproductive investment vs. body size

Duarte, C.M., and Alcaraz, M. 1989. To produce many small or few large eggs: a size-independent reproductive tactic of fish. Oecologia 80(3): 401-404.

-NOTE: reproductive investment is more correct in this case because we’re only dealing with the mass put into reproduction, which does not include energy spent on reproductive behaviors

-Across species reproductive investment increases with fish length

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Fecundity vs. body size

Duarte, C.M., and Alcaraz, M. 1989. To produce many small or few large eggs: a size-independent reproductive tactic of fish. Oecologia 80(3): 401-404.

-Across species fecundity increases with fish length

Clutch size vs. length at maturity

Winemiller, K.O., and Rose, K.A. 1992. Patterns of life history diversification in North American fishes - implications for population regulation. Canadian Journal of Fisheries and Aquatic Sciences 49(10): 2196-2218.

-clutch size = batch fecundityAcross species number of eggs per clutch increases with length at maturity-Generally higher in marine than freshwater

Egg size

-Eggs usually < 6mm-Marine eggs tend to be smaller than freshwater eggs-mean overall = 2.14 mm

(“Fully yolked oocytes”)

Winemiller, K.O., and Rose, K.A. 1992. Patterns of life history diversification in North American fishes - implications for population regulation. Canadian Journal of Fisheries and Aquatic Sciences 49(10): 2196-2218.

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Egg size

Duarte, C.M., and Alcaraz, M. 1989. To produce many small or few large eggs: a size-independent reproductive tactic of fish. Oecologia 80(3): 401-404.

-Eggs usually < 6mm-Marine eggs tend to be smaller than freshwater eggs-mean overall = 2.3 mm

Egg size vs. body size

Duarte, C.M., and Alcaraz, M. 1989. To produce many small or few large eggs: a size-independent reproductive tactic of fish. Oecologia 80(3): 401-404.

-Mean egg size doesn’t increase with fish size-Egg size rangeseems to increasewith fish size

Egg size vs. offspring size

Duarte, C.M., and Alcaraz, M. 1989. To produce many small or few large eggs: a size-independent reproductive tactic of fish. Oecologia 80(3): 401-404.

bigger eggs = bigger larvae

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Mortality rate and body size

Peterson, I., and Wroblewski, J.S. 1984. Mortality rate of fishes in the pelagic ecosystem. Canadian Journal of Fisheries and Aquatic Sciences 41(7): 1117-1120.

smaller fish die faster

Mortality rate and body size

Peterson, I., and Wroblewski, J.S. 1984. Mortality rate of fishes in the pelagic ecosystem. Can. J. Fish. Aquat. Sci. 41(7): 1117-1120.

0 2000 4000 6000 8000

0.5

1.0

1.5

weight (g)

nat

ura

l mo

rtal

ity

rate

(m

) smaller fish die faster

Life history theory

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Big questions

Why do we see patterns in life history traits?

Why do we see the specific patterns that we see?

Why don’t we see certain patterns?

e.g. DARWINIAN DEMONS-born mature-grow extremely fast

- massive eggs- high fecundity

-long life

300 years old

Key concepts

1. Fitness2. Phenotype3. Genotype

4. Quantitative traits5. Phenotypic plasticity

6. Reaction norms7. Constraints8. Tradeoffs

9. Life history strategy (pattern)

Key conceptsfitness

– the expected contribution of an allele, genotype, or phenotype to future generations (Stearns, 1992)

– often called reproductive success (Futuyma, 2005)– average per capita rate of increase in numbers (Futuyma, 2005)

0 20 40 60 80 100

050

010

0015

0020

00

time (years)

nu

mb

er o

f ad

ult

s

• Imagining 3 populations of squid which differ only in one life history trait (fecundity)

• High fecundity• Medium fecundity• Low fecundity

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Key conceptsgenotypephenotype

TTGCGAATCAACGCTTAG

GTGCGATTCCACGCTAAG

TTGAGATTCAACTCTAAG

TTGCGATCAAACGCTAGT

Scale pattern in carp (Cyprinus carpio)

Key concepts

Scale pattern in carp is a

Mendelian genetic trait

offspring

parents

offspring

parents

Traits like size are

quantitative genetic traits

quantitative traits

Key conceptsphenotypic plasticity

TTGAGATTCAACTCTAAG

TTGAGATTCAACTCTAAG

TTGAGATTCAACTCTAAG

differentdifferentdifferentdifferentphenotypes

identical

genotypes

differentdifferentdifferentdifferentenvironments

POORPOORPOORPOOR

FAIRFAIRFAIRFAIR

GOODGOODGOODGOOD

+ =

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Key conceptsreaction norm

environment

phenotype

POORPOORPOORPOOR GOODGOODGOODGOOD

Key concepts• constraints – limitations on traits• Two main types

1. internal – imposed by genetic, phylogenetic, physiological, or mechanical factors

normal

impossibly large

Key concepts• constraints – limitations on traits• Two main types

1. internal – imposed by genetic, phylogenetic, physiological, or mechanical factors

2. external – imposed by ecological factors

large egg mass

swimming

impaired

small egg mass

swimming

normal

HUGE egg mass

swimming severely

impaired

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Key conceptstradeoff – relationship where an increase in one thing implies a decrease in

another (Stearns, 1992)

EXAMPLEEnergy allocated to growth and reproduction

surplusgrowth

reproduction

TOTAL

maintenance

reproduction

growth

Key concepts

• Many life history traits make up the phenotype of each individual fish• Major life history traits according to Stearns (1992)

parental traits

(describing the individual)

growth

number

offspring traits

(describing it’s offspring)

condition

survival

future

reproduction

current

reproduction

size

condition

growth

tradeoff

Key concepts

• Any two traits may exhibit a tradeoff resulting, in a complex network of tradeoffs (Stearns, 1992)

parental traits

(describing the individual)

growth

number

offspring traits

(describing it’s offspring)

condition

survival

future

reproduction

current

reproduction

size

condition

growth

tradeoff

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Key conceptslife history strategy (pattern) - the pattern of life history traits that make up the

entire phenotype of an individual or species

coho salmon

Oncorhynchus kisutch

-fast adult growth in ocean

-delay maturity, grow large

-migrate upriver for high

offspring survival but no

future reproduction

-larger, thus fewer eggs

northern anchovy

Engraulis mordax

-mature early and small

-don’t grow large, high

adult mortality

-multiple reproductive

events

-more, smaller eggs

-high offspring mortality

Atlantic sturgeon

Acipenser oxyrinchus

-very late maturity

-grow very large

-long livespan

-many reproductive events

-MANY small eggs

-high offspring mortality


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