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27 Cards in this Set

  • Front
  • Back
population
a group of interbreeding or potentially interbreeding organisms of the same species in the same locale
exponential growth
- young individuals are added to the population continuously
- overlapping generations
- in an unlimited environment
dN/dt = (b – d)N which leads to dN/dt = rN
r =instantaneous per capita rate of growth
- EQUATION to PREDICT EXPONENTIAL GROWTH =>
N(t) = N(0)er^(t)
- overlapping or continuous
geometric growth
- young are added to the population seasonally or at discrete intervals
- in an unlimited environment
- Equation (Model) for predicting growth:
N(t) = N(0)[lambda]t where [lambda] = growth rate
- discrete or seasonal
Biotic potential
in an unlimited environment
Unlimited Growth
---species are introduced
---species receive protection
---exotics or invasives in a novel habitat
x
age class or interval
n(x)
number of survivors at beginning of age interval x
d(x)
number of individuals dying between age interval x and interval x + 1
n(x)-n(x-1)
l(x)
proportion of organisms surviving to beginning of age interval x
n(x)/n(0)
q(x)
rate of mortality between age interval x and x + 1
d(x)/n(x)
L(x)
average number alive in given age class
[n(x)+n(x+1)]/2
T(x)
intermediate step to get life expectancy, total years lived into future by age class
e(x)
life expectancy
T(x)/n(x)
Age-Specific Life Table Assumptions
- Each age class was sampled in proportion to its actual numbers in population
- age-specific mortality and birthrates have been constant over time.
R values
R0 = 1…….replacing self….population stable
R0 < 1…….not replacing self…..population declining
R0 > 1…….more than replacing self…population growing
fecundity
females produced by females
lambda
= N(t+1)/N(t)
R(0)
= l(x)*m(x)
m(x)
= F(x)/n(x)….where F(x) = total number of young or seeds and n(x) = number of parents
stochasticity
---Random variability
---should be incorporated in any population model
---based on statistical probability of random, unexpected events
sx
= survivorship = 1 -qx
Demographic Stochasticity
random events that alter demographics
(birth, death, age distribution etc.)
Environmental Stochasticity
…random variations in environment
(climate, storms, drought etc)
Allee Effect
decline in either reproduction or survival when population density is low
--organisms with large territories or that are widely dispersed may have trouble finding mates
--organisms dependent on pheromones or chemical cues may have trouble finding mates
---may be difficult for pollinators to find target species
---may be a breakdown in social structure…leading to greater predation or starvation
Some Causes of Susceptibility to Extinction
Blue whale
---reproductive rate
Carolina Parakeet
---behavior
Everglades Kite
--special diet
logistical growth
has an upper limit, aka carrying capacity
3 GENERAL TYPES OF SURVIVORSHIP CURVES
Type I - mammals
Type II - birds, small mammals, lizards, turtles
Type III - many invertebrates