Fieldwork, Geography Flashcards

1
Q

What was the aim of our human enquiry?

A

To investigate climate change mitigation in Purbeck

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2
Q

What was the hypothesis of our human enquiry?

A

The community of Purbeck actively supporting the switch to renewable energy

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3
Q

Why was Swanage a suitable location for our human enquiry?

A

-Unique demographic with a high % population of rich elderly
-Large population so easier data collection in small window of time
-World Heritage Site and AONB, possibility of interesting questions

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4
Q

How was the risk of road traffic mitigated?

A

Students were conducting questionnaires in pedestrianised area

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5
Q

How was the risk of dangers from public mitigated?

A

Students in groups and in busy areas with other members of the public

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6
Q

What is NIMBYism (Not in my backyard)?

A

When people reject changes that take place near to where they live due to a fear that it will affect them negatively but support changes elsewhere

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7
Q

How does the AONB zone affect climate change mitigation?

A

Restricts activity and development in areas so no onshore or offshore wind farms

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8
Q

A way the UK is trying to become net-zero by 2050 due to Climate Change Act 2008

A

2035 ban on sale of new petrol and diesel vehicles

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9
Q

Why did we use closed questions?

A

Limited answers can produce tables or graphs

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10
Q

Qualifying questions like where do you live, age and gender…

A

…allow us to see the demographic and only question people who live in Dorset

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11
Q

What is quantitative data?

A

Number-based data to produce bar charts and pie charts

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12
Q

What is qualitative data?

A

Word-based data to use as quotes and give an in-depth understand of people’s feelings

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13
Q

How was data presentation effective? (H)

A

-Visual representation of data, creates clear conclusions
-Using Excel reduced risk of human error and produced accurate representations
-By using stacked bar graphs for use of EV/Hybrid switch, we could see how different age groups approached it
-Comparative bar chart allowed us to include our qualifying question of gender to see how male or female differed in supporting renewable energy

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14
Q

How was data representation not effective? (H)

A

-Difficult to represent qualitative data with bar charts and pie charts
-We simplified our data with only 5 chart so some trends may have been missed

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15
Q

What % of residents have solar panels?

A

82% dont have solar panels, 18% do

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16
Q

What % know about the 2035 ban of selling diesel and petrol vehicles?

A

57%

17
Q

What was the aim of our physical enquiry?

A

To investigate changes to dune characteristics at Knoll Beach

18
Q

What was the hypothesis for our physical enquiry?

A

There is a significant change to the shape and vegetation on the sand dunes

19
Q

Why was Knoll Beach a suitable site?

A

-A large 2km beach with a deep and mature dune system 1km deep that allowed multiple groups to collect a 200m transect simultaneously.
-Owned by the National Trust who allowed us to access and survey the dune system for free.
-It is a popular tourist and local destination thereby allowing us to investigate the impact of human activity on the sand dunes

20
Q

How did we mitigate the risk of injuries from slips and falls?

A

-Suitable site found without steep inclines
-Suitable footwear
-Working in groups

21
Q

What is the Succession Theory?

A

Initially, the embryo and fore dunes are colonised by pioneer species like marram grass before the natural cycle of decomposition increases nutrient value and water retention and makes the soil more acidic that allows other species of plant to grow, such as heather, on large older yellow and grey dunes.

22
Q

What is the Cyril Driver Project?

A

Cyril Driver documented the dunes over a century ago but National Trust discovered changes between then and now. They closed off the dunes but realised they needed to allow people to walk on them for regeneration.

23
Q

What are the plant adaptations?

A

In the mobile dunes at the front we find species like marram grass with their long and extensive root systems, curled and waxy leaves. In the fixed dunes we find heather that needs a little more shelter from the wind and more nutrient rich and acidic soil.

24
Q

What was our sample method?

A

Collect gradient data every 5 metres (systematic sampling) and collect vegetation data with random systematic sampling.

25
Q

What equipment did we use?

A

50m tape measure, ranging poles, clinometer, quadrat and species identification sheet

26
Q

Sample size? (P)

A

200m

27
Q

How did we present our data?(P)

A

a sand dune profile - effectively a line graph - overlaid with a dot dispersion graph for the vegetation species and also data on percentage vegetation coverage and soil pH.

28
Q

How was data presentation effective? (P)

A

-Visual representation to clearly spot changes in land shape and identify dunes
-Overlaying pH and vegetation data with line graph allowed us to see links.
-Calculated the height of the land through the transect by using a protractor
-Used the same scale on x and y axis to make an accurate to-scale representation of the dune system

29
Q

How was data presentation ineffective? (p)

A

-Plotting data required lots of precision so there was a degree of human error
-It wasn’t obvious that the ridges were dunes or slacks. A solution is adding photos.
-Percentage vegetation cover wasn’t visual, reducing ability to spot patterns. A solution is drawing proportional symbols or pie charts.

30
Q
A