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Life History Ecology
• What is a life history?
• What are some general life history
patterns?
• What might explain those life history
patterns?
– Three main theories, plus one more
What is a life history?
• = “the features of an organism’s life cycle that influence its life span and reproductive success” – i.e., features of the life cycle that determine the life
table
– The perfect organism doesn’t exist! It would begin reproducing at birth and live forever
• Some important life history traits are: – Age at first reproduction
– # of eggs per reproductive bout
– Time span between reproductive bouts
• These traits shape the life table pattern and determine the population growth rate (r)
Life tables
Life tables show
birth and death
rates for each age
class in the
population
Survivorship and
birth rates summed
over age classes
determine the
population growth
rate
Types of Life Histories
Two extreme life histories:
• Semilparity = reproduce once during life cycle
– “big bang reproduction”
– e.g., salmon, bamboo, agave (century plant)
• Iteroparity = reproduce repeatedly during life cycle
– e.g., most vertebrates
Types of Life Histories
• Life histories vary among species and among populations of the same species
– Inherited patterns of reproductive biology
– Influence of environmental conditions
• Consider:
– Many seabirds (gannets, petrels, some gulls) lay only one egg per reproductive bout
– Hummingbirds always lay 2 eggs/bout
– Ducks generally lay 8-10 eggs/bout
Types of Life Histories
• Life histories vary among species and
among populations of the same species
• Fence lizard
Patterns of variation in life histories Some life history traits are associated
• Long life
• Slow development
• Delayed sexual maturity
• High parental investment
per offspring
• Low reproductive rate
• Short life
• Fast development
• Sexual maturity reached
quickly
• Low parental investment
per offspring
• High reproductive rate Elephants, giant
tortoises, oak trees Mice, fruit flies,
weedy plants
Patterns of variation in life histories
A “cost of reproduction”
As fecundity ↑,
adult mortality
also ↑
1) Life history results from the allocation of a limited
amount of resources (e.g., time, energy) to competing
life functions (e.g., growth, reproduction)
2) Theories based on the premise that an “optimal”
allocation of resources, given constraints of
physiology, will “maximize” population growth rate (r)
• Optimal = the best given constraints VS
Maximal = the best without regard to constrains
• Optimal fecundity might be the highest one that can be
maintained over several years, while the maximal fecundity
could be higher but would lead to a premature death
• Key question: Which leads to highest r?
Patterns of variation in life histories
Issues
3) Theories assume “costs” are real and
constrain (= limit) possible life histories
• Assume “trade-offs” (= Increase in one function
leads to a decrease in another)
-e.g., early age at sexual maturity means a smaller
adult size
-e.g., increase in number of offspring means lower
probability that all will survive to adulthood
• Evidence for “trade-offs” mixed, though they are
definitely present in some cases
Patterns of variation in life histories
Issues
• Example of trade-off: Increase in number of
offspring means lower probability that all will
survive to adulthood
Patterns of variation in life histories
Issues
Green bars = # surviving
Grey bars = frequency
• Lack of evidence for trade-
offs in guppies
– If prevent from mating, body
growth should increase if
there are trade-offs b/w
growth and reproduction
– Not supported here, but
several interpretations
Patterns of variation in life histories
Issues
R= reproductive
N = not reproductive
• Three main theories
1) Juvenile vs. adult survival
2) r and K selection theory
3) Bet hedging
• Plus this one
– Senescence
Patterns of variation in life histories Why?
• KEY: Age-specific vital rates
• Low mortality rates during the juvenile period (i.e., high probability of survival to sexual maturity) favors delayed maturity and low reproductive rate
→ Iteroparity
• High mortality rates between breeding bouts (seasons) (i.e., high probability of mortality as adult) favors early maturity and high reproductive rate
→ Semilparity
Juvenile vs. Adult Survival
• Trade-off
between putting
resources
toward growth
or reproduction
• Larger
organisms can
have larger or
more offspring
Juvenile vs. Adult Survival
Adult mortality determines optimum allocation of resources
• Thus, (juvenile mortality rate) /(adult mortality
rate) is key
– j/a < 1 : semilparity
– j/a > 1 : iteroparity
• Some evidence from exploited populations
(salmon)
• Difficult to separate from next theory
Juvenile vs. Adult Survival
• KEY: Density-dependent vs. density-independent population regulation
• Density-independent favors: – Rapid development
– Early maturation
– Small size
– Semilparity
– Short life span
• Density-dependent favors: – Slow development
– Delayed maturation
– Large size
– Iteroparity
– Long life span
r and K Selection Theory
• Semantic problem: natural selection cannot
“select” for K
– K is a characteristic of the environment, not
organisms
• Experimental evidence mixed
• Have to link differences in population
fluctuations to life history traits in pairs of
organisms that are otherwise similar
• Difficult to separate from Juvenile vs. Adult
Survival theory
r and K Selection Theory
• KEY: Environmental predictability
– (Don’t confuse with variability…a variable environment could be predictable)
• Recruitment = survival of offspring into pool of reproducing adults
• If recruitment is unpredictable, iteroparity is favored
– Called “spreading the risk” or “bet hedging”
• If recruitment is predictable, semilparity (or more concentration of reproductive effort over shorter time [less iteroparity]) is favored
• Generally untested
Bet hedging
Bet hedging
• Deals with the end of life cycle, not timing of reproduction
• = gradual ↑ in mortality and ↓ in fecundity
• Question: Why don’t organisms continue to reproduce forever? Why do we deteriorate with age?
• KEY: Reproductive contribution early in life has a greater impact on an individual’s total contribution to future generations than those made later
• Selection against mutations arising early in life, or influencing traits expressed early, is stronger than against those arising later (after reproduction has occurred)
– Consider Huntington’s disease, which doesn’t manifest until after reproductive years have passed
Senescence