C4.1 Populations and Communities Flashcards
population
interacting groups of organisms of the same species living in an area
sample
A subset of a whole population of habitat used to estimate the values that might have been obtained if every individual or response was measured
random sampling
A method of choosing a sample from a population without bias
sampling error
Statistical errors when a sample doesn’t represent the whole population
random errors
Unknown unpredictable differences
imprecision and uncertainty
systematic errors
Inaccuracy
- due to faults in experiment design
how are random errors eliminated
by taking average
how are systematic errors eliminated
with better designs
stratified sampling
two or more different habitat types
proportional area of different habitat types and samples each one accordingly
systematic sampling
when area includes an environment gradient
transect used to sample systematically along the environmental gradient
random quadrat sampling
used to study populations and communities
population size formula
(mean density per quadrat x total area)/ area of each quadrat
standard deviation variation
quantitative measure of the distribution of the values in a data set
standard deviation range
difference between largest and smallest data values
standard deviation
spread of a set of normally distributed data from the mean of sample
small standard deviation
data more reliable
normal distribution
data set distribution that is symmetrical about the mean
bell shaped curve
large standard deviation
unlikely to be significant too small - certainly significant
df
n - 1
one method to estimate population size for motile organisms
capture - mark - release - recapture - method
capture - mark - release - recapture - method
sample taken
animals taken, marked, recaptured, resampled
calculation made - number marked animals compared to size of resampled population compared to total population
Lincoln Index
population size = (M x N / R)
M Lincoln Index
number of animals captured
N Lincoln Index
number of animals recaptured
R Lincoln Index
number of marked animals recaptured
what assumptions have to be made for a Lincoln Index
- mixing is complete - marked individuals have spread out
- marks are not removed
- marks are not harmful
- equally easy to catch each individual
- no immigration/emigration/deaths/births
carrying capacity
maximum number of individuals of a species that can be supported by a given environment
resources can run low, competition, limiting factors
prevent population from increasing further
negative feedback
feedback that tends to counteract any deviation from equilibrium and promotes stability
density dependant factors
factors that lower the birth rate or raise death rate as a population grows
biotic factors that limit population growth
internal density dependant factors
external density dependant factors