2.5a Investigating Ecosystems Flashcards
What is the definition of “sampling”?
“A process used in statistical analysis in which a predetermined number of observations will be taken from a larger population.”
Why are larger samples usually better?
are likely to be more representative (and accurate) of the whole population
What are the 3 sampling strategies?
- Random Sampling
- Systematic Sampling
- Stratified Sampling
What is “Random Sampling”?
Every item has an equal chance of being selected through random numbers. This strategy does not involve any subjectivity and is thus the least biased.
Method:
- Make a map with a numbered grid
- With a random number generator choose two random numbers
- -> This makes up a coordinate, sample at that coordinate
What is “Systematic Sampling”?
This is where samples are chosen in a regular way.
This technique is often referred to at the nth method
Method:
- EG. you measure every 5th person that passes by
What is “Stratified Sampling”?
This technique is used when the population is known to contain subsets.
It is important to know the size of the subsets in the whole population so that your sample reflects the same proportions.
Method:
- Stratified sampling does not stand-alone but is combined with random or systematic sampling.
- Once the sub sets and their size are identified an appropriate sampling method can be used to select sample points, lines of areas.
What are some advantages and disadvantages of “Random Sampling”?
Advantages:
- Unbiased
- Suitable for large populations
Disadvantages:
- You may not have access to some of the sample points
- In large study areas the sample points may miss some places
What are some advantages and disadvantages of “Systematic Sampling”?
Advantages:
- Easier to apply than random sampling as there is no need for a grid
- Coverage of the whole study area can be achieved
Disadvantages:
- May be biased because places have a different chance of selection
What are some advantages and disadvantages of “Stratified Sampling”?
Advantages:
- Representative of the population so long as the proportions of the whole population are known
- Flexible – can be used in many situations as it combines with random and systematic
- Good for comparing sub-sets
Disadvantages:
- You must know the size of the subsets to get an accurate picture.
What’s a “quadrat”?
A quadrat is an appropriately shaped plot used to identify the area you wish to study.
The size depends on the organism that is being studied.
What calculations do you use a quadrat for?
- Number of individuals
- Percentage frequency
- Population density
- Percentage cover
How do you measure “The number of individuals”?
Add up all the individuals within the quadrat
–> This is sometimes difficult with for example grass (do you count all the grass blades?)
How do you measure “Percentage frequency”?
How often a particular species appears in an area
–> Use a gridded quadrat, so its easy to count how many squares the species appear in
How do you measure “Population density”?
Once you know the number of individuals in an area this is a simple calculation
number of individuals in quadrat (quadrat area)
–> eg. 30m^2 (30 per meter squared)
–> if the quadrat is not 1m squared watch out with maths!
How do you measure “Percentage cover”?
If the quadrat is subdivided into 100 smaller squares – each square represents 1% coverage.