types of sampling Flashcards

(27 cards)

1
Q

why are sampling techniques used

A

its impossible to count or measure all of the organisms present in an area

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2
Q

what is sampling

A

taking measurements of a limited number of individuals or organisms present in a particular area

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3
Q

what can sampling be used for

A
  • estimating the number of organisms in an area without having to count them all.
  • to measure a particular characteristic of an organism e.g. height - you can measure the height of a number of plants and then calculate an average
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4
Q

what is abundance

A

the number of individuals of a species

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5
Q

what do you do after measuring a sample

A

you can use results of the sample to make generalisations about the number of organism, distribution of species or measured characteristics throughout the entire habitat

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6
Q

what is random sampling

A

selecting individuals by chance. in a random sample, each individual in the population has an equal likelihood of selection

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7
Q

what is the process of random sampling

A

to decide which organism to study, random number tables or computers can be used. you have no involvement in deciding which organisms to investigate
1) mark out a grid on the grass using two tape measures laid at right angles
2) use random numbers to determine the x coordinate and the y coordinate on your grid
3) take a sample at each of the coordinate pairs generated

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8
Q

what are the advantages of random sampling

A

ensures data is not biased by selective sampling

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9
Q

what are the disadvantages of random sampling

A

may not cover all areas of a habitat equally
species with a low presence may be missed leading to an underestimate of biodiversity

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10
Q

what is non random sampling

A

an alternative sampling method where the sample isnt chosen at random

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11
Q

what is opportunistic sampling

A

weakest form of sampling as it may not be representative of the population. they use organisms that are conveniently available

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12
Q

advantages of opportunistic sampling

A

easier and quicker

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13
Q

disadvantages of opportunistic sampling

A

bias. can lead to overestimation of biodiversity

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14
Q

what is stratified sampling

A

some populations can be divided into a number of strata (subgroups) based on a particular characteristic. a random sample is taken from each of these strata proportional to size

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15
Q

advantages of stratified sampling

A

ensures all different areas of a habitat are sampled and species arent underrepresented due to the possibility that random sampling misses certain areas

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16
Q

disadvantages of stratified sampling

A

may lead to over representation of some areas in the sample

17
Q

equation of stratified sampling

A

number selected from each strata =
(strata size/total population) x sample size

18
Q

what is systematic sampling

A

different areas within an overall habitat are identified and sampled separately at specific points. often carried out using a line or belt transect

19
Q

what is a line transect

A

involves marking a line along the ground between two poles and taking samples at specified points, this can include describing all the organisms which touch the line or distances of samples from the line

20
Q

what is a belt transect

A

provides more information - two parallel lines are marked and samples are taken of the area between the two areas

21
Q

advantages of systematic sampling

A

useful when the habitat shows a clear gradient in some environmental factor

22
Q

disadvantages of systematic sampling

A

only species on the line or within the belt can be recorded. other species may be missed leading to an underestimate of biodiversity

23
Q

why is a sample never entirely never representative of the organisms present in a habitat

A

due to sampling bias and/or chance

24
Q

what is sampling bias

A

the selection process may be biased. this may be by accident or may occur deliberately.

25
how to reduce effect of sampling bias
the effects of sampling bias can be reduced using random sampling where human involvement in choosing the samples is removed.
26
what is chance
the organisms selected may not be representative of the whole population. chance can never be removed completely from the process
27
how to reduce effect of chance
by using a large sample size. the greater the number of individuals studied, the lower the probability that chance will influence the result. therefore, the larger the sample size, the more reliable the result