second set of slides for population ecology 3/22 Flashcards
change in population will give us
our per capita rate of increase
change in population formula
change in population = births/immigrants – deaths/emmegrants
the Exponential model is the
(ideal conditions)
Exponential model formula
ΔN /Δt= rN
N in exponential model =
of individuals
r in exponential model =
rate
t in exponential model =
time
Δ/d in exponential model =
rate of change
rate =
max. rate of growth
why do we need ideal conditions when finding out pop.growth
to help us understand the capacity of species to increase and the conditions that may facilitate this growth
rate is also the number of
additions and subtractions in the population true death and emmegration
m in formulas means
mortality
Exponential growth rate
Characteristic of populations without
limiting factors (ideal) (growing quickly
exponential growth rate happens when species are
introduced to a new environment or rebounding from a catastrophe
exponential growth rate is always rising on graphs
it has no limits of anything for population growth to happen,this happens mainly when animals are rebounding or introduced to a new environment
logistic rate of growth is more
realistic
logistic rate of growth
due to the carrying capacity and the limited amount of resources, logistic models describe how a pop.grows more slowly as it nears its carrying capacity
K=carrying capacity
pop. maximizes a particular area can sustain
s shaped curve
is logistic rate of growth
j shaped curve
exponential growth
logistic model is useful
Useful for estimating possible growth
logistic models estimate the
Estimate the critical size below which populations may become extinct
Carrying capacity
Maximum population size that environment can support with no degradation of habitat
varies with changes in resources
carrying capacity is caused by
limited resources
carrying capacity needs to be estimated because
it is difficult to design exact carrying capacity
