OCR A-Level Geography Physical systems (01), June 2025: Question 3

33 marks · Hard difficulty · Extended Response

A multi-part question on dryland landscapes covering the formation of linear dunes, statistical analysis of canyon erosion rates, nivation hollow formation, and an evaluative essay on the impacts of water supply issues versus economic activity.

Practise this question

Question

Question 3 from Option C – Dryland Landscapes. Part (a) asks to explain the influence of flows of energy in the formation of a linear dune for 8 marks. Part (b) presents Table 3 showing canyon erosion rates (m/year) for 10 Chinese locations: Xi'an (3.5), Yinchan (3.5), Milan (1.0), Hami (0.5), Turpan (2.0), Korla (3.0), Yinang (1.0), Kashi (0.7), Shache (2.8), and Lhasa (1.6). Sub-questions (i) to (iii) require calculating the mean rate of erosion with workings (2 marks), stating what a standard deviation of 1.11 indicates about data dispersion (2 marks), and explaining why standard deviation is more accurate than range and interquartile range (2 marks). Part (c) refers to Fig. 3 (Chad) and asks to explain the influence of one geomorphic process in shaping landform C (nivation hollow) for 3 marks. Part (d) is an asterisked essay asking to what extent dryland landscape systems are influenced more by human activity due to water supply issues than by economic activity (16 marks).
Question text

Option C – Dryland Landscapes

(a) Explain the influence of flows of energy in the formation of a linear dune. [8]

(b) Study Table 3, which shows canyon erosion rates in a dryland landscape in China.

Table 3 Canyon erosion rates in a dryland landscape in China

Rate of erosion

Location

(m / year)

Xi’an 3.5

Yinchan 3.5

Milan 1.0

Hami 0.5

Turpan 2.0

Korla 3.0

Yinang 1.0

Kashi 0.7

Shache 2.8

Lhasa 1.6

(i) Using Table 3, calculate the mean rate of erosion.

Show your workings. [2]

(ii) The standard deviation for the rate of erosion in Table 3 is 1.11.

State what this indicates about the dispersion (spread) of the data set. [2]

(iii) Explain why standard deviation is a more accurate measure of dispersion (spread) than range

and interquartile range. [2]

(c) Study Fig. 3, a dryland landscape in Chad.

With reference to Fig. 3, explain the influence of one geomorphic process in shaping landform C

(nivation hollow). [3]

(d)* ‘Dryland landscape systems are influenced more by human activity, due to water supply issues,

than by economic activity.’

To what extent do you agree with this statement? [16]

Mark scheme

Show the mark scheme Mark scheme for Question 3 detailing levels of response and points for parts (a) to (d). Part (a) awards 8 marks (AO1) across three levels focusing on kinetic, thermal, and gravitational energy in linear dune formation. Part (b)(i) awards 2 marks for showing calculation (19.6 / 10) and obtaining the mean of 1.96 m/year. Part (b)(ii) awards 2 marks for interpreting the standard deviation of 1.11 (e.g. 68% of values lie between 0.85 and 3.07). Part (b)(iii) awards 2 marks for contrasting standard deviation (uses all values) with range (uses extremes, affected by outliers) and interquartile range (uses middle 50%). Part (c) awards 3 marks (AO2) for explaining freeze-thaw weathering, pressure causing basal ice melt, or rill wash forming a nivation hollow. Part (d) awards 16 marks split between AO1 (8 marks) and AO2 (8 marks) across three levels assessing the relative influence of water supply issues (e.g. dams, irrigation) versus economic activity (e.g. tourism, off-road driving) on dryland landscapes.

Question Answer Mark Guidance

3 (a) Explain the influence of flows of energy in the 8 Indicative content:

formation of a linear dune. AO1 x8 AO1 – 8 marks

Knowledge and understanding of the reasons for the

Level 3 (6-8 marks) influence of flows of energy (e.g. kinetic, thermal,

Demonstrates thorough knowledge and understanding gravitational) in the formation of a linear dune could

of the influence of flows of energy in the formation of a potentially include:

linear dune. (AO1). • A linear dune is straight or slightly curved

• They form parallel to the bimodal wind which

This will be shown by including well-developed ideas pushes the sand in one direction

with a clear appreciation of the reasons for the

influence of flows of energy in the formation of a linear • Thermal energy from sun creates winds

dune. • Thermal energy can also dry and harden sand

making it easier to transport

Level 2 (3-5 marks) • Kinetic energy from the wind pushes sand by

Demonstrates reasonable knowledge and creep and saltation up the slope

understanding of the reasons for the influence of flows • Sand will be deposited on the slope as friction

of energy in the formation of a linear dune increased which reduces kinetic energy

This will be shown by including developed ideas with • Converging wind directions create two slip faces

some appreciation of the reasons of the influence of where kinetic wind energy builds up slope angle

flows of energy in the formation of a linear dune. • Gravitational potential energy increases as sand

accumulates on the slope therefore the slope

Level 1 (1-2 marks) angle increases until angle of repose is

Demonstrates basic knowledge and understanding of exceeded and energy is released as kinetic

the reasons for the influence of flows of energy in the energy in a mini avalanche

formation of a linear dune (AO1).

This will be shown by including simple ideas and with

no or limited appreciation of the reasons for the

influence of flows of energy in the formation of a linear

dune.

0 marks

No response or no response worthy of credit.

Question Answer 22 Mark Guidance

3 (b) (i) Study TABLE 3, which shows canyon erosion rates 2 AO3 - 2 marks

in a dryland landscape in China. Using TABLE 3, AO3 x2 1 x 1 (✓) for calculating the mean rate of erosion using

calculate the mean rate of erosion. Show your TABLE 3.

workings. 1 x 1 (✓) for showing workings.

• 3.5+3.5+1+0.5+2+3+1+0.7+2.8+1.6 / 10 ( ) or

19.6 / 10 ( )

• Mean value is 1.96 ( )

3 (b) (ii) The standard deviation for the rate of erosion in 2 AO3 – 2 marks

TABLE 3 is 1.11. State what this indicates about the AO3 x2 1 x 1 (✓) for general point about dispersion

dispersion (spread) of the data set. 2 x 1 (✓) for specific point about dispersion

• The sample suggests that approximately 68% of

the values ( ) lies in the range 0.85 – 3.07

(within 1.11 of the mean) ( )

• The sample is fairly spread out around the mean

/ limited clustering (✓) there are locations more

than one SD from the mean e.g. Kashi (0.7) (✓)

• The sample suggests that 6/10 or 60% of the

values ( ) lie within 1 SD of the mean / within

1.96 ( )

3 (b) (iii) Explain why standard deviation is a more accurate 2 AO3 – 2 marks

measure of dispersion (spread) than range and AO3 x2 1 x 1 (✓) for explanation of why standard deviation is

interquartile range. more accurate than the range

1 x 1 (✓) for explanation of why standard deviation is

• Standard deviation is more useful than the more accurate than the interquartile range

range which only uses the maximum and

minimum value so gives you limited information

about the spread of data ( )

• Standard deviation is more useful than the

range, as the range can be skewed by

outliers/anomalies’ ( )

• Standard deviation is more useful than the IQR

which only uses half the values / the middle 50%

of the data set ( )

• The range only uses the highest and lowest

values ( )

3 (c) Study FIG. 3, a dryland landscape in Chad. 3 Indicative content:

With reference to FIG. 3, explain the influence of AO2 x3 AO2 – 3 marks

ONE geomorphic process in shaping landform C For analysing Fig. 3 to explain the influence of ONE

(nivation hollow). geomorphic process in shaping landform C (nivation

hollow)

• Freeze thaw weathering occurs when melt water • Naming a geomorphic process of its own is not

seeps into cracks in the rock ( ) as it freezes it sufficient for a mark.

expands exerting pressure (DEV) causing the • A geomorphic process must be present within

rock to break up / disintegrate (DEV) the answer to achieve full marks.

• Pressure causes ice at the base to melt ( )

causing abrasion as weathered material scrapes

the floor (DEV), deepening nivation hollow /

removing more rock (DEV)

• Rill wash – weathered material is deposited in

meltwater streams ( ), abrasion deepens

channel allowing weathered material to move

(DEV), deepening nivation hollow (DEV)

3 (d*) ‘Dryland landscape systems are influenced more by 16 Indicative content

human activity, due to water supply issues, than by AO1 x8

economic activity.’ AO2 x8 AO1 – 8 marks

To what extent do you agree with this statement? Knowledge and understanding of human activity on

dryland landscape systems could potentially include:

AO1 • Human activity due to water supply issues

Level 3 (6-8 marks) o Dam construction altering flows of water,

Demonstrates thorough knowledge and understanding making discharge more consistent

of the influence of human activity on dryland landscape o Velocity reduced behind dams causing

systems. deposition in lake and sediment starvation

downstream

The answer should include accurate place-specific

• Economic activity in a dryland landscape system

detail.

o Tourism – off road driving, hiking, mountain

Level 2 (3-5 marks) biking, camping, quad biking

Demonstrates reasonable knowledge and o Damage to crytobiotic crusts, dune

understanding of the influence of human activity on equilibrium, increased dust storms and

dryland landscape systems. wind erosion

AO2 – 8 marks

The answer should include place-specific detail which

is partially accurate. Apply knowledge and understanding to analyse and

evaluate the extent to which dryland landscape systems

Level 1 (1-2 marks) are influenced more by human activity, due to water

Demonstrates basic knowledge and understanding of supply issues, than by economic activity. This could

the influence of human activity on dryland landscape potentially include:

systems. • Importance will vary depending on use of case

study

There is an attempt to include place-specific detail but • Economic activity has a greater influence as

it is inaccurate. hikers can damage crytobiotic crust with one

footstep and it takes 50 years to recover

0 marks

No response or no response worthy of credit. • Human activity due to water supply issues is

more influential as limiting floods causes sand

AO2 bars to disappear and sand bars at the edge of

Level 3 (6-8 marks) the flood plain degrade – the area affected by

Demonstrates thorough application of knowledge and the dam is significantly larger than a footprint on

understanding to provide clear and developed analysis crytobiotic crust

that shows accuracy. Includes a detailed evaluation that • Human activity due to water supply issues is

offers generally secure judgements, with some link more influential as wadis are shortened

between rational conclusions and evidence regarding significantly affecting the size of landforms over

the extent to which dryland landscape systems are a large area, as well as the loss of sand bars

influenced more by human activity, due to water supply which reduce the input of sand into dunes

issues, than by economic activity.

degrading them significantly

Level 2 (3-5 marks) • Glen Canyon 1963 damming of Colorado River

Demonstrates reasonable application of knowledge had biggest impact. Average daily flows

and understanding to provide sound analysis that exceeded 850 cumecs only 3% of the time

shows some accuracy. Includes a sound evaluation compared with 18% before 1963. At the same

regarding the extent to which dryland landscape time low flows became less frequent – flows of

systems are influenced more by human activity, due to less than 140cumecs occur 10% of the time

water supply issues, than by economic activity. compared to 18% prior to the dam

Judgements and conclusions are generalised, with

limited use of evidence Highest level likely to refer to dynamic equilibrium /

spatial / temporal variations.

Level 1 (1-2 marks)

Demonstrates basic application of knowledge and

understanding to provide simple analysis that shows

limited accuracy to provide an un-supported evaluation

that offers simple conclusions regarding the extent to

which dryland landscape systems are influenced more

by human activity, due to water supply issues, than by

economic activity.

0 marks

No response or no response worthy of credit.

Quality of extended response

Level 3

There is a well-developed line of reasoning which is

clear and logically structured. The information

presented is relevant and substantiated.

Level 2

There is a line of reasoning presented with some

structure. The information presented is in the most-part

relevant and supported by some evidence.

Level 1

The information is basic and communicated in an

unstructured way. The information is supported by

limited evidence and the relationship to the evidence

may not be clear.

How to answer it

Dryland Landscapes: Energy Flows, Statistics & Human Impacts

OVERVIEW & SKILLS

What This Question Tests

This exam question assesses core theoretical and quantitative components of Option C (Dryland Landscapes):

  • Systems approach to landforms: Explaining how distinct energy forms (thermal, kinetic, gravitational potential) drive sediment flux and linear dune morphology ( AO1 ).
  • Quantitative & statistical analysis: Calculating the arithmetic mean, interpreting standard deviation (σ) within real-world dryland datasets, and critically contrasting dispersion metrics ( AO3 ).
  • Process geomorphology: Detailed mechanistic explanation of nivation hollow evolution via weathering and transport ( AO2 ).
  • Synoptic evaluation (16-mark essay): Critically comparing the impacts of water management infrastructure against economic/recreational pressures on dryland dynamic equilibrium, supported by locational case studies ( AO1 & AO2 ).
PART 3 (a) • 8 MARKS

Energy Flows in Linear Dune Formation

Explain the influence of flows of energy in the formation of a linear dune.

💡 Key Knowledge: Energy Forms as System Drivers

  • Thermal Energy: Insolation generates differential atmospheric heating, producing persistent regional pressure gradients and prevailing wind systems. Thermal energy also desorbs moisture, drying sand grains to reduce cohesion.
  • Kinetic Energy: Wind energy transfers shear stress to loose sand particles, driving transport via saltation, surface creep, and suspension. Friction with existing topography dissipates kinetic energy, triggering deposition.
  • Converging Energy Vectors: Linear (seif) dunes develop under bidirectional/converging wind regimes. Wind shifts divert kinetic energy to alternating dune flanks, carving two steep slip faces.
  • Gravitational Potential Energy: Grains accumulate on slip faces until the critical angle of repose (approx. 32°–34°) is exceeded. Instability converts stored gravitational potential energy into kinetic energy via grain slumping and grainfall avalanching.

🧠 Exam Technique & Mark Scheme Unpack

This question demands a systems perspective. Do not just narrate the appearance of a sand dune; explicitly name and trace the transformations between energy types.

  • Level 3 (6–8 marks): Thorough knowledge of multiple energy flows (thermal → kinetic → potential → kinetic release) explicitly linked to linear dune morphology (elongated ridges, twin slip faces).
  • Level 2 (3–5 marks): Sound description of wind transport, but only vague references to "energy" without classifying kinetic or gravitational components.

❌ Common Errors

  • Describing a crescentic barchan dune instead of an elongated linear (seif) dune formed by converging winds.
  • Failing to mention energy altogether, treating wind merely as "moving air" rather than a conduit of kinetic energy and frictional dissipation.
  • Omitting gravity and angle of repose, missing the key energy transition from potential to kinetic energy during avalanching.
Mark Allocation: AO1 = 8 marks. Assessed across three levels based on the depth of process explanation and precision in tracing energetic pathways.
PART 3 (b)(i) • 2 MARKS

Calculation: Mean Erosion Rate

Using Table 3, calculate the mean rate of erosion. Show your workings.

📐 Step-by-Step Calculation

Dataset (m/year): 3.5, 3.5, 1.0, 0.5, 2.0, 3.0, 1.0, 0.7, 2.8, 1.6   (n = 10)

  1. Sum the raw values (Σx):
    3.5 + 3.5 + 1.0 + 0.5 + 2.0 + 3.0 + 1.0 + 0.7 + 2.8 + 1.6 = 19.6
  2. Divide by total sample count (n = 10):
    Mean = 19.6 / 10 = 1.96
  3. State the final value with correct units:
    Mean = 1.96 m/year

✅ Model Answer & Mark Breakdown

Workings: 19.6 / 10 [1 mark]

Correct Value: 1.96 m/year [1 mark]

Tip: Always retain exact decimals provided by the calculation unless the question specifies rounding.

PART 3 (b)(ii) • 2 MARKS

Interpretation of Standard Deviation

The standard deviation for Table 3 is 1.11. State what this indicates about dispersion.

✅ Model Answer (Full 2 Marks)

  • General Dispersion Point: A standard deviation of 1.11 indicates a moderate-to-wide spread of canyon erosion rates around the mean of 1.96 m/year, demonstrating substantial spatial variability across Chinese dryland locations [1 mark].
  • Specific Statistical Context / Calculation: Approximately 68% of normally distributed data lies within ±1 standard deviation ( 1.96 ± 1.11 = 0.85 to 3.07 m/year ). In this dataset, exactly 6 out of 10 locations (60%) fall within this interval, with notable outliers sitting beyond 1 SD such as Kashi (0.7 m/year) below and Xi'an/Yinchan (3.5 m/year) above [1 mark].

🧠 Exam Technique: Securing 2/2

Examiners award 1 mark for stating that data is moderately spread/dispersed around the mean, and 1 mark for quantifying this dispersion using the boundaries: Mean ± 1 SD = [0.85 – 3.07] or citing that 6/10 (60%) of locations fall inside this range.

PART 3 (b)(iii) • 2 MARKS

Comparing Measures of Dispersion

Explain why standard deviation is a more accurate measure than range AND interquartile range.

✅ Model Comparative Points

  • SD vs Range: Standard deviation takes account of every individual data point in the distribution, whereas the range utilizes only the two extreme values (maximum − minimum), making range highly susceptible to distortion by singular anomalies or outliers [1 mark].
  • SD vs Interquartile Range (IQR): While IQR eliminates extreme outliers by measuring the spread of the middle 50%, it ignores the remaining half of the dataset. Standard deviation is superior because it assesses the dispersion of the entire dataset while weighting variations mathematically relative to the central mean [1 mark].

❌ Common Errors

  • Only explaining why SD is better than the range, forgetting to explain why it is more complete than the interquartile range.
  • Vaguely stating that standard deviation is "more reliable" or "harder to calculate" without referencing the inclusion of all values versus extremes only or middle 50% only.
PART 3 (c) • 3 MARKS

Geomorphic Process in Landform Evolution

With reference to Fig. 3, explain the influence of ONE geomorphic process in shaping landform C (nivation hollow).

🧠 Examiner Requirement

You must select and thoroughly develop only ONE process. Naming the process alone scores 0 marks; all 3 marks are awarded for explaining the physical chain of cause and effect.

Option A: Freeze-Thaw Weathering (Gelifraction)

  1. Meltwater from snow patches infiltrates micro-cracks, joints, and bedding planes in the bedrock beneath and surrounding the patch.
  2. Sub-zero temperatures cause water to freeze and expand by approximately 9% in volume, exerting strong hydrostatic pressure on rock fissures.
  3. Repeated diurnal freeze-thaw cycles shatter and disintegrate the bedrock, continuously enlarging and steepening the backwall of the hollow.

Option B: Basal Abrasion / Meltwater Fluvial Wash

  1. Basal Abrasion: Overlying snow/firn weight induces pressure melting at the base; rotational sliding of ice laden with angular rock fragments scours the bedrock floor, deepening the depression.
  2. Rill Wash / Solifluction: Seasonal meltwater streams wash fine, weathered regolith downslope out of the hollow, evacuating sediment and maintaining the depression.
Mark Allocation: AO2 = 3 marks. 1 mark per step in a coherent, sequential physical explanation directly linked to the shaping/deepening of the hollow.
PART 3 (d)* • 16 MARKS • ESSAY

Evaluative Essay: Water Supply vs Economic Activity

‘Dryland landscape systems are influenced more by human activity, due to water supply issues, than by economic activity.’ To what extent do you agree with this statement?

💡 AO1: Core Empirical Evidence & Case Studies

1. Water Supply Infrastructure (e.g., Glen Canyon Dam & Lake Powell, Colorado River):

  • Dams trap sediment (90%+ reduction in suspended load downstream), starving desert canyon systems of alluvial deposits.
  • Loss of high-discharge spring floods suppresses natural formation of sandbars and sand terraces in canyon wadis.
  • Flow regulation alters dynamic equilibrium: flows exceeding 850 cumecs dropped from 18% of the time to 3%; low flows below 140 cumecs dropped from 18% to 10%.
  • Irrigation runoff causes extensive secondary salinisation and groundwater table depletion in arid basins.

2. Economic & Recreational Activities (e.g., Mojave / Sonoran Deserts):

  • Off-road vehicles (OHVs), quad biking, and excessive hiking crush fragile cryptobiotic (biological soil) crusts composed of cyanobacteria, lichens, and mosses.
  • Crust destruction reduces shear threshold velocity of soil, multiplying wind erosion and producing severe dust storms.
  • Recovery time for biological soil crusts spans 50 to 250 years, causing persistent land degradation.
  • Open-cast mineral extraction and commercial pastoralism lead to severe devegetation and accelerated gullying.

🧠 AO2: Criteria for High-Level Evaluation

Top-band answers ( Level 3 & Level 3 , 13–16 marks) structure their evaluation around clear spatial and temporal scales:

  • Spatial Scale: Water supply infrastructure (e.g., dams, mega-aqueducts) has systemic, basin-wide geomorphic impacts altering fluvial and aeolian sediment supply for hundreds of kilometres downstream. In contrast, recreational and tourism impacts are often spatially localized along trails, corridors, and honeypots.
  • Temporal Persistence & Thresholds: Damming causes an immediate, permanent shift in hydrology and sediment regimes. However, crushing cryptobiotic crusts triggers long-term soil vulnerability that persists for centuries, disrupting dynamic equilibrium even after human activity ceases.
  • Interconnectedness: Economic growth (agriculture, urbanization like Las Vegas or Phoenix) is what drives the demand for water infrastructure. Separating them is artificial; economic expansion necessitates water diversion.

❌ Common Pitfalls in This 16-Marker

  • Pure description without comparison: Describing damming in one paragraph and tourism in another without directly weighing which has a greater geomorphic influence.
  • Neglecting landscape / geomorphic systems: Writing purely about socioeconomic impacts (e.g., "farmers earn less money") rather than physical processes (sediment flux, sandbar attrition, crust erosion, albedo changes, dynamic equilibrium).
  • Unbalanced argument: Agreeing 100% with the statement without evaluating how severe biological crust destruction can be over wide desert expanses.

Structure for a 16/16 Mark Essay

  1. Introduction: Define dryland landscape systems and dynamic equilibrium. Set out your thesis: while water supply interventions exert the most pervasive macro-scale hydrologic and sedimentological alterations, economic activities create profound micro-to-meso-scale destabilisation of surface crusts.
  2. Theme 1 – Water Supply Issues: Analyze dam construction (e.g., Glen Canyon Dam on the Colorado River). Detail the trapping of sediment, loss of peak flow pulses, and degradation of downstream wadis/sandbars.
  3. Theme 2 – Economic Activities: Analyze off-road recreation, mining, and grazing in dryland ecosystems. Detail the physical pulverisation of cryptobiotic crusts, the dramatic decrease in wind threshold velocity, and increased aeolian deflation.
  4. Synoptic Synthesis (Scale & Reversibility): Explicitly weigh the two forces using evaluative criteria (spatial extent, recovery time, permanent vs episodic disturbance).
  5. Conclusion: Deliver an unambiguous, substantiated final verdict explaining the extent to which you agree with the proposition.
Mark Allocation: AO1 = 8 marks (Knowledge of dryland landscape systems, human interventions, specific case study details). AO2 = 8 marks (Analysis, evaluation, and reaching a substantiated, balanced judgement).

Topics

1.1.3 Option C – Dryland Landscapes · 1.1.1 Option A – Coastal Landscapes · 1.1.2 Option B – Glaciated Landscapes · Topic 1.2 Earth’s Life Support Systems · 2.a. Dryland landscapes develop due to a variety of interconnected climatic and geomorphic processes. · 3.b. Periglacial landforms can exist as a result of earlier colder periods. · 4.a. Water supply issues can cause change within dryland landscape systems. · 4.b. Economic activity can cause change within dryland landscape systems. · Topic-specific skills 1.a–4.b

Question and mark scheme from the OCR A-Level Geography examination, Physical systems (01), June 2025. QuestionVault is an independent revision resource; questions remain the copyright of the awarding body.