Depth ≈ 30–40 m; pH 4.0–5.5; bulk density ≈ 0.9 g cm⁻³; highly leached laterites, base saturation < 20 %.
Seasonal (Monsoonal) Forest 1200–2000 mm yr⁻¹
Deciduous trees, lianas, shrub understory; leaf‑fall in dry season.
Depth ≈ 15–25 m; pH 5.0–6.0; bulk density ≈ 1.1 g cm⁻³; lateritic/ferrallitic, moderate Al³⁺.
Savanna 800–1200 mm yr⁻¹
Grasses with scattered fire‑adapted trees (Acacia, Baobab, Combretum).
Depth ≈ 5–15 m; pH 4.5–5.5; bulk density ≈ 1.3 g cm⁻³; shallow laterites, low organic matter.
1.5. Subclimax Communities (Natural Disturbance)
Riverine floodplain forest – Inundation every 2–3 years selects flood‑tolerant species such as Ficus spp. and Myrtaceae. Soil remains relatively young and nutrient‑rich.
Fire‑prone savanna patches – Moderate fire frequency (every 3–5 years) maintains a mix of grasses and fire‑resistant trees; fire‑feedback promotes grass dominance.
Secondary forest after single clear‑cut – Edge effects persist for 10–15 years; pioneers (Macaranga, Alstonia) coexist with early shade‑tolerants (Shorea spp.).
Primary succession → Pioneer community → Subclimax → Climatic climax with a side arrow indicating diversion to Plagioclimax when persistent anthropogenic disturbance occurs. Feedback loops (e.g., fire‑feedback in savanna) are shown with double‑headed arrows.
1.8. Quantitative Modelling of Successional Rate
The increase in canopy cover (C) over time (t) in a secondary tropical forest can be modelled with a logistic function:
C(t) = Cmax / [1 + e-k(t‑t₀)]
Cmax – Maximum canopy cover at climatic climax (≈ 95 %).
k – Intrinsic growth constant (typical values 0.2–0.4 yr⁻¹). Fires, soil fertility or invasive species can increase or decrease k.
t₀ – Inflection point (years after disturbance when growth is fastest).
Worked Example
Given: Cmax = 95 %, k = 0.30 yr⁻¹, t₀ = 12 yr. Calculate canopy cover after 10 years.
Insert values: C(10) = 95 / [1 + e-0.30(10‑12)]
Exponent: -0.30 × (‑2) = 0.60
e0.60 ≈ 1.82
Denominator = 1 + 1.82 = 2.82
C(10) ≈ 95 / 2.82 ≈ 33.7 %
Interpretation: After 10 years the forest has reached roughly one‑third of its eventual canopy cover – a typical subclimax stage.
Evaluation Prompt (AO3)
How would repeated low‑intensity fires alter the value of k and the time to reach Cmax?
What are the limitations of using a logistic model for forests on highly leached lateritic soils?
Discuss the usefulness of the model for planning restoration projects in different disturbance regimes.
1.9. Management Implications
Restoration should aim to re‑establish the climatic climax by protecting sites from both natural (fire, flood) and anthropogenic disturbances.
Where subclimax or plagioclimax states are intentionally maintained (e.g., agroforestry, grazing), set realistic biodiversity and productivity targets and monitor k as an indicator of ecosystem health.
Model climate‑change scenarios to assess whether a site may shift from rainforest climax to seasonal‑forest subclimax, informing long‑term land‑use planning.
2. Paper 1 – Physical Geography (Core Topics)
2.1. Hydrology
Key‑Concept Reminder
Scale: Catchment‑scale processes (10–10 000 km²) versus river‑reach analysis.
Change over Time: Seasonal hydrograph variation, long‑term trends in discharge.
Evaluation: Trade‑offs between structural and non‑structural flood mitigation.
Hydrograph interpretation – baseflow, peak flow, lag time, rising limb, recession limb, flood‑peak estimation.
Flood management
Structural: dams, levees, channelisation.
Non‑structural: early‑warning systems, flood‑plain zoning, community preparedness.
Case Study
Ganges‑Brahmaputra Basin (India & Bangladesh) – monsoonal flood peaks, levee breaches, and community‑based early‑warning systems using river‑stage gauges and mobile alerts.
Evaluation Prompt (AO3)
Assess the sustainability of large dams in the G‑B basin considering sediment trapping, downstream water security and displacement.
Compare the effectiveness of structural vs. non‑structural measures in reducing flood‑related loss of life.
2.2. Atmospheric Processes
Key‑Concept Reminder
Scale: Global (Hadley cell) to regional (monsoon trough).
Climate change – greenhouse‑gas effect, radiative forcing, projected temperature & precipitation trends for the 21st century.
Diagram Suggestion
Global energy‑budget diagram with arrows showing heat transport from equator to poles via Hadley, Ferrel and Polar cells, and overlay of subtropical jet streams.
Evaluation Prompt (AO3)
Critically evaluate the usefulness of the three‑cell model for explaining extreme rainfall events in the tropics.
Discuss the uncertainties associated with down‑scaling global climate model outputs for regional flood risk assessments.
2.3. Earth Processes – Hazards
Key‑Concept Reminder
Scale: Local (landslide) to global (tectonic plate boundaries).
Change over Time: Hazard frequency, long‑term risk trends.
Evaluation: Effectiveness of prediction, risk identification and mitigation.
Core Content
2.3.1. Plate Tectonics
Types of boundaries – divergent, convergent (subduction, continental‑collision), transform.
Monitoring techniques – inclinometers, piezometers, remote‑sensing of deformation.
Detailed example: 2023 Central Italy landslides triggered by prolonged heavy rain; early‑warning system based on rainfall‑threshold modelling reduced casualties.
2.3.3. Earthquake Hazards
Magnitude scales (Richter, moment magnitude) and intensity scales (MMI).
Seismic gap theory and probabilistic seismic hazard assessment.
Mitigation – building codes, retrofitting, land‑use planning.
Case study: 2015 Nepal earthquake – shallow focus, high ground shaking, post‑seismic landslides.
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