- A.High antecedent rainfall reduces soil moisture storage, leading to a longer lag time and a lower peak discharge.
- B.High antecedent rainfall saturates the soil, reducing infiltration capacity and leading to a shorter lag time and higher peak discharge.
- C.Low antecedent rainfall increases surface runoff, resulting in a steeper rising limb and a shorter lag time.
- D.Low antecedent rainfall saturates the soil, increasing percolation rates and leading to a higher peak discharge.
AQA AS-Level · Thinka-original Practice Paper
2023 AQA AS-Level Geography 7036 Practice Paper with Answers
Thinka Jun 2023 AQA AS Level-Style Mock — Geography 7036
Paper 1 Section A: Physical Geography Options
- A.Storm waves erode a sand dune system, depositing sand offshore to form an offshore bar which dissipates wave energy and reduces further dune erosion.
- B.The construction of a seawall halts cliff erosion, depriving downdrift beaches of sediment and accelerating erosion further along the coast.
- C.Rising sea levels submerge coastal salt marshes, allowing larger waves to reach the shoreline and accelerate the rate of marsh erosion.
- D.Human trampling destroys vegetation on a sand dune, making the loose sand more vulnerable to wind erosion, which prevents new plants from establishing.
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* Award 1 mark for defining decomposition as the physical and chemical breakdown of dead organic material by detritivores or decomposers (bacteria/fungi).
* Award 1 mark for linking decomposition to the release of carbon gases (\(CO_2\) or \(CH_4\)) into the atmospheric store via microbial respiration.
* Award 1 mark for explaining how decomposition transfers carbon into the terrestrial/soil store, forming humus or organic carbon compounds.
**Figure 1: Mean soil organic carbon (SOC) content (\(\text{kg/m}^2\))**
| Ecosystem Type | 0-10 cm depth | 10-30 cm depth | 30-100 cm depth | Total SOC (0-100 cm) |
| :--- | :---: | :---: | :---: | :---: |
| Native Deciduous Woodland | 5.8 | 8.2 | 11.0 | 25.0 |
| Conifer Plantation | 4.2 | 6.5 | 9.3 | 20.0 |
| Intensively Grazed Pasture | 3.6 | 5.2 | 6.2 | 15.0 |
| Arable Cropland | 1.8 | 2.5 | 3.7 | 8.0 |
Analyse the data shown in Figure 1.
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- **Total SOC Comparison:** Native Deciduous Woodland has the highest total SOC pool (25.0 \(\text{kg/m}^2\)), followed by Conifer Plantation (20.0 \(\text{kg/m}^2\)), Grazed Pasture (15.0 \(\text{kg/m}^2\)), and Arable Cropland has the lowest (8.0 \(\text{kg/m}^2\)).
- **Depth Distribution Patterns:** In all four ecosystems, the absolute amount of SOC increases as depth increases (e.g., Arable Cropland increases from 1.8 to 2.5 to 3.7 \(\text{kg/m}^2\)). However, because the 30-100 cm layer is much thicker (70 cm) than the 0-10 cm layer (10 cm), the actual density/concentration per centimetre of soil depth is significantly higher at the surface (0.58 \(\text{kg/m}^2/\text{cm}\) in woodland surface vs 0.16 \(\text{kg/m}^2/\text{cm}\) in deeper woodland soil).
- **Ecosystem Contrasts:** There is a stark division between forested systems and agricultural systems. Woodland and plantation combined store 45.0 \(\text{kg/m}^2\) of SOC, whereas pasture and cropland combined store only 23.0 \(\text{kg/m}^2\).
- **Proportional Differences:** Arable Cropland shows severe depletion, with its total SOC being only 32% of that found in the Native Deciduous Woodland. At the surface level (0-10 cm), the woodland has more than three times the carbon of arable soil (5.8 vs 1.8 \(\text{kg/m}^2\)).
Marking scheme
- Demonstrates clear, logical, and coherent analysis of the data.
- Identifies key patterns and contrasts (e.g., forest vs agriculture, total storage differences, surface density vs absolute storage at depth).
- Backs up assertions with specific, accurate data extracted and/or manipulated from Figure 1 (such as calculations of percentage differences or concentrations per cm depth).
**Level 1 (1-3 marks):**
- Show limited or basic analysis, largely describing individual values from the table rather than identifying patterns.
- Focuses on simple observations (e.g., stating which is highest and lowest) without exploring deeper structural relationships in the data.
- May omit specific figures or make errors in data interpretation.
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**Introduction:**
- Define the drainage basin as an open system with inputs, transfers, stores, and outputs.
- State that vegetation plays a critical, dynamic role in regulating the rate and volume of water transfers (e.g., converting rapid surface pathways into slower subsurface pathways).
**Main Body Paragraphs:**
1. **Interception and Surface Regulation:**
- Vegetation canopies intercept precipitation, storing water temporarily on leaves and branches. This water may evaporate directly back into the atmosphere (interception loss).
- Interception significantly delays the time it takes for water to reach the ground (via throughfall and stemflow), reducing the volume of immediate inputs to the soil and decreasing the likelihood of rapid surface runoff (overland flow).
2. **Infiltration and Subsurface Flows:**
- Root systems physically break up the soil, creating macropores that enhance soil structure and permeability. This promotes higher infiltration rates and percolation, converting potential surface runoff into slower subsurface flows such as throughflow and groundwater flow.
- By encouraging infiltration, vegetation increases the drainage basin's lag time and reduces the peak discharge of the river system.
3. **Transpiration and Soil Moisture Storage:**
- Vegetation actively extracts water from the soil store through root uptake to support transpiration, returning moisture to the atmosphere.
- This process empties soil moisture stores, restoring the soil's capacity to absorb future rainfall events and reducing the risk of saturation overland flow.
4. **Evaluation / Assessment of Relative Importance:**
- The regulatory role of vegetation is not static; it varies by vegetation type (e.g., coniferous forests with needle-like leaves intercept more water year-round than deciduous forests which lose leaves in winter).
- Under conditions of extreme, prolonged rainfall or high-intensity storms, the interception capacity of the canopy is quickly saturated, and the regulatory effect of vegetation diminishes.
- Other physical factors, such as steep slopes or impermeable bedrock, can override the regulatory influence of vegetation, leading to rapid runoff regardless of plant cover.
**Conclusion:**
- Conclude that while vegetation is a primary regulator of drainage basin transfers (significantly slowing transfers and stabilizing stores), its effectiveness is ultimately bounded by climatic factors (precipitation duration/intensity) and physical basin characteristics (geology and relief).
Marking scheme
#### **Level 3 (7-9 marks)**
- **AO1:** Demonstrates precise and detailed geographical knowledge of drainage basin hydrological processes and the role of vegetation (e.g., interception, stemflow, root uptake, infiltration).
- **AO2:** Offers a detailed and logically structured assessment of how vegetation regulates transfers. Evaluates its role relative to other variables (e.g., storm intensity, season, vegetation type). Synthesizes a clear, well-supported conclusion.
#### **Level 2 (4-6 marks)**
- **AO1:** Shows sound geographical knowledge of how trees/plants affect water (e.g., mentions interception and roots absorbing water) but may lack precise terminology or depth in outlining specific transfers.
- **AO2:** Applies knowledge to analyze some of the ways vegetation regulates water flows. Evaluation is present but may be superficial, unbalanced, or lack structured reasoning.
#### **Level 1 (1-3 marks)**
- **AO1:** Displays isolated or basic knowledge of vegetation and water (e.g., 'trees soak up rain'). Terminology is limited.
- **AO2:** Descriptive rather than analytical. Little to no attempt to assess the regulatory role or compare it with other factors. Concluding remarks are absent or generic.
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Paper 1 Section B: People and the Environment Options
- A.Low fuel surface-area-to-volume ratio and gentle downslope terrain
- B.High fuel surface-area-to-volume ratio and steep upslope terrain
- C.High fuel moisture content and flat valley basins
- D.Deeply compacted organic soil fuels and heavily shaded north-facing depressions
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- A.Strong synoptic winds and thick altostratus cloud cover
- B.High atmospheric pressure, clear skies, and calm wind conditions
- C.Low atmospheric pressure, high wind speeds, and heavy frontal precipitation
- D.Rapid cold front passage accompanied by high wind shear and high relative humidity
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### Figure 1
| Year | Temperature Anomaly (°C) | Total Area Burned (thousand hectares) |
|---|---|---|
| 2012 | +0.8 | 120 |
| 2013 | +0.2 | 45 |
| 2014 | -0.1 | 25 |
| 2015 | +0.9 | 140 |
| 2016 | +0.4 | 60 |
| 2017 | +1.5 | 310 |
| 2018 | +0.1 | 30 |
| 2019 | +1.1 | 195 |
| 2020 | +1.2 | 220 |
| 2021 | +1.6 | 340 |
Using Figure 1, analyze the relationship between average annual temperature anomalies and the total area burned by wildfires.
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- **Overall Relationship**: There is a clear positive correlation between temperature anomalies and area burned. As positive temperature anomalies increase, the total area burned by wildfires also increases.
- **Extreme Values / Key Trends**:
- The maximum temperature anomaly of +1.6°C in 2021 corresponds to the peak area burned (340 thousand hectares).
- The minimum temperature anomaly of -0.1°C in 2014 corresponds to the lowest area burned (25 thousand hectares).
- **Non-linear Escalation / Thresholds**:
- When the temperature anomaly is below +0.5°C (2013, 2014, 2016, 2018), the area burned remains relatively low, below 65 thousand hectares in all cases.
- Once the anomaly exceeds +1.0°C (2017, 2019, 2020, 2021), the area burned jumps dramatically, always exceeding 190 thousand hectares. This suggests a potential threshold effect where warmer anomalies dramatically increase fuel dryness and fire risk.
- **Specific Year-on-Year Consistency**:
- The incremental increase from 2019 (+1.1°C anomaly, 195 thousand ha) to 2020 (+1.2°C anomaly, 220 thousand ha) and 2021 (+1.6°C anomaly, 340 thousand ha) demonstrates a consistent positive trajectory.
Marking scheme
**Level 2 (4–6 marks)**:
- Clear, logical analysis of the data showing an understanding of the overall positive relationship.
- Identifies specific patterns (e.g., threshold effects above +1.0°C vs below +0.5°C).
- Integrates precise data from the table to support the analytical points.
**Level 1 (1–3 marks)**:
- Mainly descriptive points identifying individual high or low years without synthesising a broader relationship.
- Limited use of data or basic reading of the figures without deep analysis of the trends.
- May lack structure or focus on the relationship requested.
**Suggested points for markers**:
- Award 1-2 marks for basic descriptions of single years (e.g., 2021 was highest, 2014 was lowest).
- Award 3-4 marks for identifying the overall positive trend and using appropriate comparative data.
- Award 5-6 marks for highlighting the non-linear relationship (e.g., disproportionate increase when anomaly > 1.0°C) and exhibiting fully structured data analysis.
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1. **Physical Factors:**
- **Weather and Climate:** High temperatures, low relative humidity, and strong winds (e.g., Santa Ana winds in California) dry out vegetation and supply oxygen, drastically accelerating fire spread.
- **Fuel Characteristics:** The type, moisture level, and density of vegetation. For instance, dry eucalyptus forests burn far more intensely than damp deciduous forests.
- **Topography:** Fires travel much faster uphill because the heat radiating from the fire preheats the upslope vegetation.
2. **Human Factors:**
- **Management Policies:** Decades of total fire suppression (such as in the US) have prevented natural, low-intensity burns, leading to an unnatural accumulation of dry undergrowth (fuel load), which results in far more severe fires when ignition occurs.
- **Land-use and Urbanisation:** The expansion of settlements into the wildland-urban interface (WUI) increases both the chance of accidental human ignition and the catastrophic severity of fires in terms of property damage and loss of life.
- **Climate Change:** Anthropogenic greenhouse gas emissions have increased the frequency and duration of droughts and heatwaves, lengthening fire seasons worldwide.
**Conclusion / Assessment:**
While physical factors act as the fundamental drivers of wildfire behavior (wind, slope, and fuel control how a fire moves in the moment), human factors are increasingly responsible for creating the conditions of extreme vulnerability and fuel accumulation that allow routine fires to transform into catastrophic mega-fires.
Marking scheme
- **Level 3 (7-9 marks):**
- Demonstrates detailed, accurate, and coherent geographical knowledge of both physical (weather, fuel, topography) and human (suppression policies, WUI expansion, climate change) factors affecting wildfires (AO1).
- Offers a well-structured, balanced, and critical assessment of their relative significance, supported by precise geographical terminology and appropriate real-world examples (AO2).
- Reaches a clear, justified conclusion based on the preceding arguments.
- **Level 2 (4-6 marks):**
- Demonstrates clear geographical knowledge and understanding of physical and/or human factors, though there may be minor imbalances or omissions (AO1).
- Applies knowledge to analyze how these factors influence wildfire spread and severity, but the assessment of 'relative significance' may be underdeveloped or lack explicit evaluation (AO2).
- Structure is logical, but may rely on general examples.
- **Level 1 (1-3 marks):**
- Shows limited or fragmented knowledge of wildfire causes and behaviors (AO1).
- Lacks analytical depth; answers may be purely descriptive or fail to distinguish clearly between 'spread' and 'severity' (AO2).
- No clear conclusion or evaluation of the 'extent to which' physical vs human factors dominate.
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Introduction: Wildfires are uncontrolled fires in areas of combustible vegetation. While physical factors (weather, climate, fuel, and topography) dictate the physical behaviour and intensity of the fire itself, the severity of the human and economic impacts is heavily determined by human preparedness, mitigation strategies, and response capabilities. This essay will argue that while physical conditions create the initial hazard, human factors are ultimately more significant in determining the scale of the human and economic impacts.
Physical Factors: Physical factors provide the essential conditions for wildfire initiation, propagation, and intensity. 1. Weather and Climate: Extreme weather is the primary driver of fire behaviour. High temperatures, low relative humidity, and prolonged droughts dry out organic fuel loads, making them highly combustible. Strong winds supply oxygen, fan the flames, and carry embers ahead of the main fire front, starting new spot fires and rapidly increasing the fire's rate of spread. 2. Fuel Load: The type, density, and moisture level of vegetation are critical. Highly flammable species, such as eucalyptus or resinous pines, burn with immense intensity, while accumulated dead organic matter provides abundant fuel. 3. Topography: Topography accelerates fire spread; fires travel significantly faster uphill because rising heat pre-heats the upslope vegetation, making steep, rugged terrain incredibly difficult for fire management teams to access and control.
Human Factors: Human factors influence both the ignition and, more crucially, the vulnerability and resilience of communities in the path of the fire. 1. Preparedness and Planning: Strict building codes requiring fire-resistant materials, the establishment of 'defensible space' clearing vegetation around homes, and robust early warning systems significantly reduce vulnerability. 2. Emergency Response: The speed and coordination of evacuations and active firefighting operations (e.g., using aerial water bombers and ground crews) save lives and protect key infrastructure. 3. Land-use Planning and Demographics: The growth of the Wildland-Urban Interface (WUI)—where residential developments expand into fire-prone natural environments—has exponentially increased human exposure to wildfire hazards, turning natural ecological processes into human disasters.
Evaluation and Case Study Integration: To evaluate their relative importance, we can contrast different wildfire events: 1. Fort McMurray (Canada, 2016): Extremely high temperatures, low humidity, and a dry winter created severe physical conditions. The fire destroyed over 2,400 homes and caused billions of dollars in economic damage. However, despite the extreme physical intensity, the rapid and coordinated evacuation of 88,000 residents resulted in zero direct fatalities. This demonstrates how high-quality human response can almost completely mitigate the worst human impacts (loss of life) even during an uncontrollable physical event. 2. Black Saturday (Australia, 2009): Exceptional physical conditions occurred, with temperatures reaching 46 degrees Celsius and winds exceeding 100 km/h. However, the high death toll of 173 was heavily influenced by human factors, including the failure of the 'stay or go' policy, delayed warnings, and limited evacuation planning. This illustrates that when human preparedness fails, the lethal potential of physical conditions is fully realized.
Conclusion: In conclusion, physical factors are the fundamental drivers of a wildfire's intensity, size, and physical spread. However, physical factors alone do not determine the 'impact' on human populations. Human vulnerability, land-use planning, and emergency preparedness are the primary determinants of whether a severe wildfire becomes a humanitarian and economic disaster. Therefore, human factors are ultimately more important than physical factors in determining the severity of wildfire impacts.
Marking scheme
Assessment Objectives:
- AO1 (10 marks): Knowledge and understanding of the physical and human factors influencing wildfires and their impacts.
- AO2 (10 marks): Application of knowledge and understanding to analyse and evaluate the relative importance of physical versus human factors in determining wildfire impacts.
Level Descriptors:
Level 4 (16–20 marks):
- Demonstrates detailed, accurate, and comprehensive knowledge of physical factors (weather, climate, fuel, topography) and human factors (preparedness, response, land-use planning) affecting wildfires (AO1).
- Applies this knowledge to offer a sophisticated, balanced, and highly structured evaluation of the relative importance of these factors (AO2).
- Integrates well-chosen case study examples (e.g., Fort McMurray, Black Saturday, California) effectively to support arguments.
- Draws a clear, logical, and well-reasoned conclusion.
Level 3 (11–15 marks):
- Demonstrates good, generally accurate knowledge of physical and human factors (AO1).
- Shows clear analysis and evaluation of the factors, though it may be slightly unbalanced (e.g., stronger focus on physical than human, or vice versa) (AO2).
- Uses relevant case study details, though some aspects may lack depth or specific data.
- Provides a clear conclusion that is linked to the evidence presented.
Level 2 (6–10 marks):
- Shows some general knowledge of physical and human wildfire factors, but with limited depth or accuracy (AO1).
- Analysis and evaluation are present but superficial, tending to describe factors rather than critically assess their relative importance (AO2).
- Case study reference is generic, limited, or contains factual errors.
- The conclusion is brief, assertive, or missing.
Level 1 (1–5 marks):
- Demonstrates very basic or fragmented knowledge of wildfires (AO1).
- Very little or no attempt to analyse or evaluate (AO2).
- No meaningful case study examples are used.
- No logical conclusion is reached.
Key Points to Look For in High-Quality Answers:
- Physical Factors: Role of wind, dry conditions, temperature, fuel load/type, and slope/terrain in spreading and intensifying wildfires.
- Human Factors: Ignitions (arson, downed power lines vs lightning), zoning laws/WUI, emergency evacuation management, public awareness campaigns, and firefighting capabilities.
- Synthesis/Case Studies: Effective use of examples to illustrate how successful human intervention can reduce impacts, or how human failure can worsen them.
Paper 2 Section A: Changing Places
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1. **Flows of people:** International migration can introduce new cultural practices, languages, and cuisines, which changes the cultural and social demographic character of a neighborhood (for example, the development of a 'Chinatown' or 'Little Italy').
2. **Flows of investment and capital:** Inward investment from a multinational corporation (such as a new manufacturing plant or tech office) can create employment, alter local income levels, and transform the physical built environment from industrial to commercial.
3. **Flows of ideas and resources:** The import of global ideas around sustainability or urban design can lead to local regeneration projects, changing the aesthetic and functional character of a place.
Marking scheme
* **1 mark** for identifying/defining exogenous factors as external connections, relationships, or flows (e.g., people, money, resources, ideas).
* **1 mark** for explaining a specific process or mechanism by which these flows occur (e.g., international migration, multinational corporate investment, global tourism).
* **1 mark** for explicitly linking this flow to a change in the physical, economic, demographic, or cultural character of the place (e.g., changing the local high street, shifting employment sectors, or introducing new cultural practices).
*Note: Maximum 2 marks if there is no clear connection made to how the 'character' of the place is shaped.*
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1. Flows of people: International migration can introduce new cultural practices, languages, and cuisines, which changes the cultural and social demographic character of a neighborhood.
2. Flows of investment and capital: Inward investment from a multinational corporation can create employment, alter local income levels, and transform the physical built environment.
3. Flows of ideas and resources: The import of global ideas around sustainability or urban design can lead to local regeneration projects, changing the aesthetic and functional character of a place.
Marking scheme
- 1 mark for identifying/defining exogenous factors as external connections, relationships, or flows (e.g., people, money, resources, ideas).
- 1 mark for explaining a specific process or mechanism by which these flows occur (e.g., international migration, multinational corporate investment, global tourism).
- 1 mark for explicitly linking this flow to a change in the physical, economic, demographic, or cultural character of the place (e.g., changing the local high street, shifting employment sectors, or introducing new cultural practices).
Note: Maximum 2 marks if there is no clear connection made to how the 'character' of the place is shaped.
Figure 1:
Ward X (Inner-city):
- Born outside UK: 12% in 2011 | 34% in 2021
- Average age: 41.2 years in 2011 | 32.5 years in 2021
- 2011 forum comment: 'A quiet, close-knit neighborhood with long-established local independent shops.'
- 2021 forum comment: 'A vibrant, multicultural place with new hipster cafes, but some older residents feel left behind.'
Ward Y (Suburban fringe):
- Born outside UK: 3% in 2011 | 5% in 2021
- Average age: 45.1 years in 2011 | 48.9 years in 2021
- 2011 forum comment: 'Excellent local schools, a sleepy and peaceful suburb, mostly families.'
- 2021 forum comment: 'Very quiet and safe, but house prices have soared and younger generations can no longer afford to live here.'
Using Figure 1, analyse the differences in demographic change and place representation between Ward X and Ward Y.
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Ward X (Inner-city) shows rapid and dynamic demographic changes. The population is becoming younger (average age decreasing by 8.7 years from 41.2 to 32.5) and significantly more diverse (proportion born outside the UK nearly tripling from 12% to 34%). This is reflected in the qualitative representation of the place, which shifts from a 'traditional, close-knit' community in 2011 to a 'vibrant, multicultural' space in 2021. This rapid gentrification and rebranding (indicated by 'hipster cafes') has led to social tension, with older residents feeling 'left behind' by the changing character of their neighborhood.
Ward Y (Suburban fringe) shows demographic stagnation and aging. The population is aging (average age increasing from 45.1 to 48.9 years) with almost no change in international diversity (born outside the UK remains extremely low, changing from 3% to 5%). The qualitative character remains 'quiet' and 'safe', but shows a shift toward economic exclusion. Rather than cultural tension as seen in Ward X, Ward Y faces generational exclusion, where 'house prices have soared' and the 'younger generations can no longer afford to live here'.
In comparison, Ward X is experiencing demographic renewal accompanied by cultural division and gentrification, while Ward Y represents an increasingly exclusive and aging suburb characterized by economic barriers rather than demographic diversity.
Marking scheme
Level 1 (1-3 marks): Descriptive use of the data, potentially listing statistics or quotes without linking them. May focus on only one ward or fail to offer meaningful comparison of changes over time. Response may be unstructured or lack geographical terminology.
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### Indicative Content Structure:
1. **Introduction**:
- Define 'character of place' (demographic profile, socio-economic factors such as employment, income, health, and education).
- Clearly introduce the chosen case study (e.g., Stratford, East London) and state the central thesis: while external forces like government-backed regeneration and global investment have triggered massive physical and economic restructuring, internal factors (historical socio-economic legacies and local community resistance) continue to shape its social fabric.
2. **The Role of External Forces (AO1 & AO2)**:
- *Example Evidence (Stratford)*: The decision of the International Olympic Committee (global institution) to award the 2012 Games, combined with UK Central Government funding (national policy) and investment from property developers like Westfield (corporate decision).
- *Impact*: Transformed Stratford from a post-industrial brownfield site into a major retail, transport, and residential hub. Shifted the employment structure from manufacturing/industrial decline towards tertiary sectors (retail, hospitality, tech).
- *Demographic shift*: Attracted younger, higher-income professionals, increasing the average income but also causing gentrification and displacement of lower-income families.
3. **The Role of Internal/Local Factors (AO1 & AO2)**:
- *Example Evidence*: The pre-existing physical geography (the Lea Valley rail and canal networks) which initially dictated its industrial character, and the socio-economic legacy of multi-generational deprivation.
- *Local Agency*: Local community groups (e.g., Focus E15 moms, local housing campaigns) fighting against displacement and pushing for social housing quotas.
- *Impact*: Internal resistance and local housing conditions have forced local councils (Newham) to adapt planning policies to retain some affordable housing, showing that local factors can moderate global economic forces.
4. **Synthesis/Evaluation (AO2)**:
- Analyze the interplay. External forces act as the catalyst for rapid change, injecting capital and shifting demographics quickly. However, the existing local context determines *how* those external forces are received, resisted, or adapted.
- In some places (e.g., extreme post-industrial decline), external disinvestment (e.g., deindustrialization in Detroit due to corporate decisions of the Big Three automakers) creates a vacuum where local factors have to struggle to survive, demonstrating the overwhelming power of global capital.
5. **Conclusion**:
- Summarize the main points. Conclude with a nuanced judgment: external forces are typically the primary drivers of macro-level economic and demographic transitions, but the unique identity and day-to-day social reality of a place are co-produced by the resilience and legacy of internal local factors.
Marking scheme
**Level 4 (16–20 marks) - High Quality**:
- **AO1**: Demonstrates detailed, highly accurate, and relevant geographical knowledge of both external forces (such as corporate decisions or government policies) and internal/local factors affecting the chosen place.
- **AO2**: Provides a sophisticated, balanced, and critical evaluation of the relative influence of these forces. Argues a clear, coherent line of reasoning leading to a well-supported, logical conclusion.
- **Structure**: Well-organized, fluent, with precise use of geographical terminology.
**Level 3 (11–15 marks) - Good Quality**:
- **AO1**: Good knowledge and understanding of place characteristics and the factors shaping them. Case study details are mostly accurate and relevant.
- **AO2**: Clearly analyzes and evaluates the relative importance of external vs. internal factors, though the argument may slightly favor one side or lack the deepest synthesis.
- **Structure**: Generally clear and structured, with appropriate terminology.
**Level 2 (6–10 marks) - Basic to Moderate Quality**:
- **AO1**: Shows generalized or descriptive knowledge of the chosen place. May focus heavily on description rather than analyzing the factors causing change.
- **AO2**: Evaluative comments are present but superficial or asserted without strong supporting evidence. The connection between external/internal drivers and demographic/socio-economic outcomes is weak.
- **Structure**: Basic structure, some geographical vocabulary used correctly.
**Level 1 (1–5 marks) - Low Quality**:
- **AO1**: Offers very limited, isolated, or inaccurate descriptive points about a place. Confuses external and internal forces.
- **AO2**: Little to no attempt at evaluation or comparison. No coherent conclusion.
### Key Concepts to Credit:
- **External forces**: Globalization, MNC activities, national/regional planning policies, global migration flows, supranational investments.
- **Internal factors**: Topography, site/situation, local community groups, historical industrial legacy, local governance.
- **Socio-economic/Demographic indicators**: Employment rates, deprivation indices, age structure, ethnic diversity, housing tenure.
Paper 2 Section B: Fieldwork and Skills
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