Lecture 5 Flashcards
Population Growth & Age Structure
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
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 as 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
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
demography
study of factors that determine size and structure of populations through time
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
age structure
the number of individuals alive at each age within a population
increasing/decreasing population size
- immigration and births increase population size
- emigration and mortality decrease population size
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
three ecological characteristics that affect organisms’ optimal strategies
- abiotic conditions
- community composition
- resource availability
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
two types of population growth in closed systems
exponential growth and logistic growth
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)
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
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
exponential growth
- density-independent; growth rate doesn’t depend on the number of individuals
- 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
population growth
change in the number of individuals over time (ΔN/Δt)
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
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
three tradeoffs in life history traits
- growth vs. reproduction
- early vs. late maturity
- few large vs. many small offspring
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
- density-dependent; growth rate depends on the number of individuals, 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