Lecture 7: Quadrat Sampling Flashcards

0
Q

What are two criteria to consider for optimal quadrat size and shape?

A

1) statistical: precision for lowest variance

2) ecological: organisms (N. Am.) /habitats scale (European)

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1
Q

Quadrat counts are suitable for 3 things

A

1) sessile, immobile organisms such as plants and sea anemones
2) relatively immobile organisms such as clams
3) Mobile animals caught on film

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2
Q

What are 2 factors affecting estimates for quadrat sampling?

A

1) edge effects (edge/ area ratio)
2) standard error (variability between quadrats)
These two factors need to be weighed against each other

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3
Q

Describe edge effect

A

The greater the edge the greater the number of decisions that have to be made on whether an organism is inside or outside the frame

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4
Q

What happens if the quadrat is dimensionless?

A

No edge effect

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5
Q

What three shapes are there for quadrat studies in order from least to most edge effect?

A

Circle, square, rectangle

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6
Q

What frame size is best to reduce SE? What is worst?

A

Best is smaller frames worst is larger frames

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7
Q

Why is there a larger mean weight for smaller quadrat sizes?

A

Because of cumulative edge effect.

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8
Q

What is the ideal-ish statistical quadrat design with plot size and number of samples?

A

Smaller plots with more samples

It is most desirable to have a larger number of smaller quadrats

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9
Q

Why do we want to use smaller frame sizes?

A

Many smaller frames have lower SE than fewer larger frames

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10
Q

What is the purpose of having nested quadrats?

A

Takes into account ecological scale

Determine the minimal area of a community to sample

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11
Q

What are example frame sizes for nested quadrats that take into account ecological scale?

A
Trees: 10 x 20m
Shrubs: 5x5m
Herbs: 1x1m
Lichens and mosses: 0.1x0.1m
i.e. 10x10cm
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12
Q

How do you get the minimum area of a community to sample and a species area curve?

A

The number of species increases as quadrat size is doubled and should eventually plateau at a scale that represents the minimum area of quadrat to use for study
Start with a small quadrat and double after counting the # of species.
Increase the list of new species discovered only, don’t keep recording species already seen.
Plot a minimum area curve called specie area curve

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13
Q

What is the flaw in determining the species area curve method?

A

If the starting point is unusual.

Rarity needs a different kind of design.

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14
Q

How do you read a species area curve?

A

The number of species added to list should increase as the quadrat size is doubled. The quadrat size where it plateaus is the minimum quadrat size necessary for community. If you get multiple plateaus then you have gone outside the community of interest and found new communities.

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15
Q

What are 5 recommendation for quadrat sampling?

A

1) check literature on the habitat and organisms you are sampling to determine if a common or standard frame is used so that your study can be compared with other studies. Standard sizes for trees etc.
2) determine minimal area for study
3) have lots of samples but keep in mind sample size and shape
4) use circular quadrats
5) use rectangular quadrats in patchy vegetation to avoid empty quadrats

16
Q

What are 3 common spatial patterns and an example of what can cause this pattern?

A

Random: mixture of all. No pattern
Aggregated (orchard grass): clumpy patches
Uniform (corn fields): rows etc.

17
Q

Why sample with long thin rectangular quadrats (Daubenmire frame) over square quadrats in grasslands?

A

Because squares can increase the variance in patchy environments by leaving empty quadrats.
Rectangles pick up more heterogeneity and produce a lower SD. Variance is lower because no quadrats at empty.

18
Q

What is the equation for the index of dispersion?

A

I = observed variance (S2) / observed mean x-bar

19
Q

What happen when the index of dispersion = 1?

A

There is a random pattern

Almost no such thing

20
Q

What happens when index of dispersion is greater than 1?

A

An aggregates pattern from the variance being greater than the mean.

21
Q

What happens when the index of dispersion is less than 1?

A

A uniform pattern from the fact that there is no real variance because density is so similar