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Transect Investigation

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Introduction

Macha Cauchois

Transect Investigation

Aim:

        To compare abiotic and biotic matters in three different sites on Doi Inthanon.

Hypothesis:

        I predict that as we go up the mountain, the soil temperature will decrease as will the light intensity. I also predict that the depth of leaf litter, tree circumference and tree height will have no correlation with the altitude as we go up higher on the mountain.

Method:

        Soil temperature:

  • Place a soil thermometer in the soil, 5cm under the ground
  • Wait for 30 seconds for the thermometer to measure the temperature
  • Take out the thermometer
  • Read off the reading and record it

Tree circumference:

  • Use a tape measure and put it round the tree at eye’s height
  • Measure the circumference and record it

Leaf litter depth

  • Take a ruler and put it into the ground up to the soil level
  • Measure the height up to where the leaf goes to
  • Record the readings

Tree height

  • Measure the height of the person who will be measuring the height of the tree
  • Take a tape measure and measure 3m away from the tree diagonally from the tree, and not on a slope
  • Stand 3m away from the tree and point the clinometer up to the top of tree
  • Read the degree stated on the clinometer and record it down
  • Using trigonometry, calculate the height of the tree using the height of the person, the distance from the tree and the angle stated on the clinometer

Light intensity

  • Stick a light intensity probe into the air
  • Read the reading off the metre and record it down
...read more.

Middle

17

14

5

23

17

13

Mean

24

17

16

A table to show the leaf litter depth in 3 different sites

leaf litter depth/cm  ± 0.1cm

Trial

Site 1

Site 2

Site 3

1

3.5

4.2

4.7

2

2.5

4.6

2.5

3

5.5

1.4

1

4

8.2

5.7

3.5

5

0.4

4.7

1.8

Mean

4

4.1

2.7

A table to show the tree height in 3 different sites

tree height/cm  ± 0.01cm

Trial

Site 1

Site 2

Site 3

1

613.96

795.35

1451.44

2

1023.26

1563.39

1271.62

3

651.28

1355.23

613.96

4

485.19

1451.44

535.98

5

795.35

346.82

976.24

Mean

713.81

1102.45

969.85

...read more.

Conclusion

        To sum up my conclusion, my hypothesis was correct for all the abiotic and biotic factors except for the tree circumference, as I predicted no correlation but in actual fact, it increased.

Evaluation:

Error

Effects on data

Ways to minimise the error

Improvements

Weather

Large range and variety in data from different weathers at different sites.

Make sure weather at different sites are roughly the same to minimise error and make the tests as fair as possible

Collect data only when the weather at different sites are roughly the same

Error in measurement

Wrong raw data so calculations are also wrong causing mean to be incorrect and harder to compare sets of data

Carefully measure data during data collection process

Use the same instruments when collecting data with the same person doing the readings and carefully calculate all measurements

Human error

Incorrect raw data causing incorrect calculations for data processing

Avoid incorrect readings and make sure the data collector is not tired

Carefully read measurements and write down immediately and have enough rest the night before!

...read more.

This student written piece of work is one of many that can be found in our GCSE Height and Weight of Pupils and other Mayfield High School investigations section.

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