Lecture 5 Flashcards
Population Growth & Age Structure
increasing/decreasing population size
- immigration and births increase population size
- emigration and mortality decrease population size
population growth in an open system
open system = unlimited environment (dispersal exists)
Nt+1 = Nt + Bt + It - Dt - Et
future population size = current population size + births + immigration - deaths - emigration
population growth in an closed system
open system = isolated environment (dispersal doesn’t exist)
Nt+1 = Nt + Bt - Dt
future population size = current population size + births - deaths
population growth
change in the number of individuals over time (ΔN/Δt)
two types of population growth in closed systems
exponential growth and logistic growth
exponential growth
- density-independent; growth rate doesn’t depend on the number of indivudals
- usually occurs when species colonize new habitats, or recolonize local habitats (usually not long-term)
- e.g. rabbits in Australia quickly became invasive, due to a lack of natural enemies
per capita
per individual
per capita growth rate (r)
- r = births - deaths
- r is a constant for a specific population; the number of individuals increases, but the per capita growth rate stays constant
- the higher the r, the faster the growth
- a.k.a. intrinsic growth rate
exponential growth rate formula
ΔN/Δt = rN
ΔN/Δt = population growth rate
r = intrinsic growth rate
N = population size
estimating future population size, using exponential growth
Nt = N0ert
Nt = future population size
N0 = current population size
r = intrinsic growth rate
t = time
logistic growth
- density-dependent; growth rate depends on the number of indivudals, due to a lack of resources
- most populations show this type of growth
- growth slows as population size reaches carrying capacity
- e.g. rabbits in Australia quickly became invasive, due to a lack of natural enemies
carrying capacity (K)
the maximum number of individuals in a population that can be supported due to…
- food
- space
- water
- soil quality
- resting/nesting sites
- life history strategies
logistic growth rate formula
ΔN/Δt = rN[(K-N)/K]
ΔN/Δt = population growth rate
r = intrinsic growth rate
N = population size
K = carrying capacity
regular (population) cycles
- lagged responses between births and deaths due to population density can cause fluctuations around carrying capacity
- fluctuation severity depends on the size of the time lag
demography
study of factors that determine size and structure of populations through time
age structure
the number of individuals alive at each age within a population
population demography and offspring
the number of offspring produced varies with parent age/size
- e.g. France has slow reproductive rates, as most people are past their reproductive age (i.e. 40-70 years old)
- e.g. India has fast reproducitve rates, as most people are in their reproductive age (i.e. 20-30 years old)
three types of survivorship curves
- Type I: most humans and other large mammals have a high probability of surviving to adulthood
- Type II: small mammals and birds have a constant mortality rate throughout their lifespan
- Type III: many fish, frogs, and plants have high early mortality rates, but high late survival rate
life history strategy
the overall pattern in average timing of events including…
- age and size at sexual maturity
- amount and timing of reproduction
- survival and mortality rates
three tradeoffs in life history traits
- growth vs. reproduction
- early vs. late maturity
- few large vs. many small offspring
three ecological characteristics that affect organisms’ optimal strategies
- abiotic conditions
- community composition
- resource availability
the optimal strategy: growth vs. sexual maturity, and mortality risks
when mortality is high for all age groups…
- organisms that mature early have higher fitness if it increases their chances of reproducing before they die
- waiting too long to mature leads to death before reproducing (zero fitness)
when juvenile mortality is higher than adult mortality…
- organisms that mature late can become larger and have higher fitness through lifetime reproductive effects (more children overall)
- larger organisms are bigger and more competitive; they’re able to access more resources
opportunistic vs. equilibrial life history
- opportunistic species (r-strategists) are individuals with high fertility, grow quickly, mature early, and produce many small offspring (e.g. dandelions)
- equilibrium species (K-strategists) are individuals with high survivorship, grow slowly, mature late, invest energy into protection/survival/acquiring resources, and produce few large offspring (e.g. elephants)
- there is a continuum between these two extremes