Ecology and Evolution exam 3

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Last updated 2:54 AM on 3/26/26
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61 Terms

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Life History Traits

timing, amount of resources allocated to growth, maintenance, and reproduction

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Life History Strategy
Specific ways organisms manage growth, maintenance, and reproduction to maximize lifetime reproductive success (fitness)
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What are the three main functions energy can be allocated to for the optimal life strategy?

Growth, Maintenance(survival), Reproduction

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What are Optimal Life History Strategies constrained by?
Trade-offs
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Life History trade-off
Allocating more energy to one function means there is less energy to allocate to a different function
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Semalparous
Annual plants, produce once in a lifetime then die
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Iteroparous
Perennial plants, produce many times in a lifetime
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Where do semelparous plants allocate most of their energy?
Reproduction
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Where do iteroparous plants allocate most of their energy?
Maintenance (survival)
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Senescence
The deterioration of biological function with age
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Mutation accumulation hypothesis for senescence
Alleles that cause late-onset disease maintained at higher frequency than alleles causing early-onset disease
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Antagonistic pleiotropy hypothesis for senescence
Mutations that cause benefit earlier in life will spread, even if it causes disease later in life
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Menopause
The end of a females fertility but survivorship continues on
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What other animals besides humans go through menopause (have a post-reproductive life span)?
whales
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Fecundity
People have more kids when post-reproductive mother is alive
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Lifetime reproductive success (number of kids raised to reproductive age)
People successfully raise more kids when post-reproductive mother is alive
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Grandmother hypothesis
Selection favors menopause because females that live beyond their reproductive lifespan have more surviving grandchildren (because they help their own children have more children)
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Why do women go through menopause?
The cost of menopause is offset by the benefits of the increased number and survival of grandchildren
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Population growth models
Using mathematical equations to project future populations growth/decline
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Annual population growth rate

N(t+1) / N(t)

t=time

N =population size at time called lambda (λ)

t in subscript

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λ>1
population is growing
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Log scale
Each interval = equal ratio of change (x10)
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Linear scale
Each interval = equal amount of change
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When population growth rate is constant
straight line on a log scale (because population growth is multiplicative)
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Linear scale is good for...
Showing raw amount of change across time
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Log scale is good for...
showing rate of change across time
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What kind of growth occurs when lambda is constant?
Geometric population growth
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Geometric population growth equations

N(t+1) =λN(t)

N(t)=N(0) x λ^t

t in subscript

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When is lambda good/not good

Good: measuring actual population growth from censuses at discrete time periods

Not good: mathematical models to explore different population dynamics

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How do you find the rate of change at a single point in time?
Tangent line. (dN/dt)
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Exponential population growth
same as geometric population growth, but for case where reproduction occurs continuously
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Exponential population growth equations

dN/dt = rN

r=exponential growth rate

Nt = N0 x e^rt

t and 0 in subscript

λ=e^r

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r
per capita growth rate that a population is capable of.
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Per capita growth rate of a population
the rate of growth per individual (1/N x dN/dt)=r
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Population regulation
The limit to population growth
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Density independent factors that limit population growth
Effects on birth and death rates unrelated to the number of individuals in the population
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Density dependent factors that limit population growth
Factors that affect birth and death rates differently as population size changes
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Logistic population growth
Population increases rapidly, then stabilizes at the carrying capacity(k).
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K
maximum population size that can be supported indefinitely by the environment
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Logistic population growth model
models density dependent population growth
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Logistic growth equation
dN/dt = rN(1 - N/k)
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In logistic growth when N«k

population grows almost like exponential growth
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In logistic growth when N is close to k
population stops growing
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Carrying capacity

when birth rate = death rate

when dN/dt = 0

per capita growth rate is 0

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Maximum sustainable yield
real-world application of the logistic growth model
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What is a use of maximum sustainable yield
harvesting goal of fisheries
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Why is human population growth rate declining even though death rate is declining
birth rate is declining
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Demographic transition
birth rate decline happens after death rate declines
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General demographic rule in humans

1) initial, stable population

2) death rate decline, causing population to grow

3) birth rate declines

4) Birth rate = death rate again

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Extinction vortex
once a population starts to decline, at a certain point they can get into a spiral they can't get out of
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Causes of extinction vortex (population decline)

Inbreeding depression: increases expression of deleterious traits

Variability (stochasticity) of population growth rate: increases chance of extinction (environmental and demographic)

Allee effects: can cause further decline due to positive density dependence

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Inbreeding depression
A small population size increases the probability of two deleterious recessive mutations coming together in homozygous state
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Genetic rescue
counteracting inbreeding depression with gene flow
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Environmental stochasticity
environment can fluctuate randomly, causing variability in population growth
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Examples of environmental stochasticity
changes in food abundance, changes in water availability, and changes in temperature
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Demographic stochasticity
random chance can also cause variation in death and birth rates
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why does population size fluctuate a lot
demographic stochasticity
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Demographic stochasticity can cause populations to shrink even when
mean population growth rate is stable (or even positive) which is dangerous for small populations
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Allee effects
growth rate can decrease as population density decreases
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Potential causes of allee effects

1) animals that live in groups lose benefits of grouping

2) When populations get super small, individuals can't find mates

3) When a species becomes rare, other species that it interacts with go away

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Population viability analysis
predicting extinction risk given various causes of populations fluctuations

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