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Case Studies: Two Locations

Geography
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Case Studies: Two Locations

Geography
01 May 2026

Case Studies: Two Locations of Land Cover Change

This key knowledge requires you to apply your understanding to two specific locations — one for glacial/ice melt and one for deforestation. The notes below provide model case studies covering all required dot points.


Case Study 1: Melting Glaciers — Greenland (Jakobshavn Glacier)

Location within global distribution
Greenland sits within the Arctic, where warming is occurring at 3–4 times the global average rate (Arctic amplification). The Jakobshavn Glacier on Greenland’s west coast is one of the world’s fastest-moving and most studied outlet glaciers. It has retreated ~40 km since 1850 and is losing ~46 km³ of ice per year.

Reasons for current land cover change
- Rising Arctic air temperatures (Greenland has warmed ~3°C since 1980)
- Intrusion of warm Atlantic Ocean water beneath the glacier’s floating tongue (basal melting)
- Reduced sea ice extent exposes darker ocean, reducing regional albedo and accelerating warming
- Human greenhouse gas emissions provide the underlying driver

Impacts
Environmental: Accelerated sea level rise (~0.5 mm/year from Greenland alone); changes to ocean salinity and circulation (freshwater influx weakening the AMOC); loss of permafrost in peripheral areas releasing methane.

Economic: Fisheries disruption as ocean temperatures and salinity change; potential opening of Arctic shipping routes and mineral extraction opportunities (dual impact); infrastructure damage in Greenland’s coastal towns from permafrost thaw.

Social: Inuit communities face loss of traditional hunting grounds and sea-ice travel routes; psychological impacts of environmental identity loss; food security challenges as traditional prey species migrate.

Geospatial technologies
- GRACE (Gravity Recovery and Climate Experiment) satellites measure ice mass loss through gravitational changes — detected 280 billion tonnes/year average loss 2002–2019
- Landsat and Sentinel-2 imagery tracks glacier front position over time
- LiDAR (airborne and ICESat-2 satellite) measures ice surface elevation change
- Effectiveness: highly effective for monitoring extent and volume; less effective for predicting basal melt or subglacial hydrology

Local/national responses
- Greenland Institutes of Natural Resources monitoring programme
- Danish/Greenlandic national adaptation planning for coastal communities
- Proposed relocation of vulnerable settlements

Global response: Paris Agreement (2015) — nations commit to limiting warming to 1.5–2°C above pre-industrial; Climate Finance pledges (\$100 billion/year to developing nations); IPCC scientific assessment and reporting.


Case Study 2: Deforestation — Amazon, Brazil (Arc of Deforestation)

Location within global distribution
Brazil contains ~60% of the Amazon rainforest (the world’s largest tropical forest) and leads global deforestation statistics. The “arc of deforestation” stretches across the southern and eastern margins of the Amazon in states including Pará, Mato Grosso, and Rondônia.

Reasons for current land cover change
- Cattle ranching (~65–80% of deforested land) driven by domestic beef demand and beef exports (China, Europe)
- Soy cultivation (mainly as animal feed) expanding into cleared and cerrado land
- Infrastructure: BR-163 and Transamazon Highway provide access; hydroelectric dams (Belo Monte) attract settlers
- Weak enforcement, land tenure disputes, and corruption
- Policy changes: Bolsonaro government (2019–2022) reduced enforcement, increased deforestation by ~73% vs 2018 baseline

Impacts
Environmental: Loss of biodiversity (Amazon contains ~10% of all Earth’s species); reduced moisture recycling (Amazon generates 50–80% of its own rainfall — dieback threatens a tipping point); carbon release (~1.5 billion tonnes CO₂ equivalent per year from Brazilian deforestation); soil erosion and river sedimentation.

Economic: Short-term: agricultural revenue and employment. Long-term: loss of non-timber forest products; disruption to regional rainfall harming agriculture; reduced ecotourism potential; risk to hydroelectric power (reservoir siltation).

Social: Displacement of Indigenous communities (~900,000 Indigenous people in the Brazilian Amazon); land conflicts and violence; health impacts from burning (respiratory disease); loss of traditional knowledge.

Geospatial technologies
- PRODES (Brazilian National Institute for Space Research) uses Landsat-based annual deforestation mapping — official government data
- DETER (real-time detection) provides monthly alerts enabling enforcement response
- Global Forest Watch (Hansen/UMD) provides near-real-time Landsat/Sentinel alerts at 30 m resolution
- Effectiveness: near-real-time detection is highly effective at identifying clearing events; enforcement response depends on political will and resourcing

Local/national responses
- Brazil’s PPCDAM (Action Plan for the Prevention and Control of Deforestation in the Amazon) reduced deforestation by ~70% from peak 2004 levels by 2012 through enforcement, monitoring, and economic instruments
- Municipal “green municipality” programmes
- Lula government (2023–) committed to zero deforestation by 2030 and restored enforcement

Global response: REDD+ (UN Framework on Reducing Emissions from Deforestation and Forest Degradation) — pays developing nations for verified carbon stored in standing forests; Norway–Brazil Amazon Fund (~\$1 billion pledged).


KEY TAKEAWAY: Effective case studies address location, causes, all three impact dimensions (environment, economy, society), geospatial technologies used, and responses at multiple scales. Build your own case studies using this framework.

EXAM TIP: VCAA examiners reward specificity. Name the glacier, state the deforestation rate, identify the geospatial technology by name. Vague references to “a place in South America” or “satellites” are penalised.

VCAA FOCUS: You may use any two valid locations. The case studies above are model examples. Whatever locations you study in class, ensure you can address all five dot points for each.

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