Abiotic Factors
Rainfall
pH
Temperature
Humidity/lack thereof
Presence/level of pollution
Areas with high biodiversity (7)
-High biodiversity index (above 0.5)
Methods of sampling animals (6)
Areas with low biodiversity (7)
Methods of sampling plants (2)
Sweep net
Used to catch insects in areas with long grass.
pooter
Pitfall traps
Kick sampling
Point quadrat
Tree beating
Frame quadrat
How do you collect the most valid and representative sample of an area with a quadrat?
2 main ways of using frame quadrats
DENSITY - If individual large plants can be seen clearly, count the number of them in a 1m by 1m square quadrat. (density per metre). Gives ABSOLUTE measure.
FREQUENCY - used to study biodiversity in grassland. If each gird represents 1% and there is 1 buttercup in 65/100 grids then the frequency of occurrence of buttercups would be 65%.
Sampling
Can be used to estimate the number of organisms in an area without counting them all.
Number of individuals of a species present in an area = ABUNDANCE
Can be used to measure a characteristic of an organism
How to work out total population of an organism in an area that has been sampled
multiply mean value per metre squared by the total area.
How to get an average value of a particular organism per metre squared.
calculate mean of individual quadrat results.
Random sampling
Selects individuals by chance
Each individual in the population has an equal likelihood of selection.
Random number tables/computers used.
You have no involvement in deciding which organisms to compare.
Results of the sample can be used to make
Generalisations/estimates about the …number… of organisms
Generalisations/estimates about the …distribution… of organisms
Measured …characteristics… of an organism. E.g. Sample of 200 wheat plants found the average height to be 50cm.
Sampling is necessary because we can’t usually gather data from the entire population due to:
Large/inaccessible population (it’s impossible in most cases to study the actual entire population)
Lack of resources
Sampling is the only method available when data gathering process damage the item from which we require data.
Opportunistic
Uses organisms that are conveniently available.
Weakest form of sampling as it may not be representative of the whole population.
Types of non random sampling
Stratified
Population divided into stratas (sub groups) based on a particular characteristic.
Random sampling is taken from each strata proportional to its size.
Advantages of stratified sampling
Minimises sample selection bias.
Ensures certain population segments are not over/under represented.