2.3 Responding to climate change and building resilience

Region X is a low-lying river delta with dense channel networks — land close to or at sea level. Region Y is a semi-arid plateau with naturally low, variable rainfall and high evapotranspiration.

Low elevation plus converging river channels in Region X concentrates flood risk, especially as sea levels rise and storm surges intensify. In Region Y, already limited rainfall becomes more erratic under climate change, pushing the region toward drought and desertification.

Reversing the hazards (drought for X, flooding for Y) ignores the fundamental physical geography of each location. Desertification for X contradicts its delta setting; water scarcity as Region X's hazard misidentifies a low-lying coastal plain as arid.

The pairing Region X → flooding and storm surge; Region Y → drought and desertification correctly links each location's physical geography to its dominant climate hazard, consistent with how global warming produces opposite hydrological outcomes in different settings.

The question asks which hazard pairing correctly matches a low-lying delta (X) and a semi-arid plateau (Y) under climate change.

This reverses the logic: a low-lying delta is not at risk of drought as its dominant hazard, and a semi-arid inland plateau is not at risk of sea-level-rise flooding. This option can be eliminated immediately.

Desertification is a hazard associated with arid and semi-arid interiors, not low-lying deltas. Coastal erosion and inundation are coastal hazards that do not apply to an inland semi-arid plateau. Both assignments are wrong, eliminating this option.

Water scarcity fits an arid interior (Region Y), not a water-rich river delta (Region X). Riverine flooding from intensified rainfall fits Region X, not Region Y. The two hazards are assigned to the wrong regions.

Only Region X faces flooding and storm surge; Region Y faces drought and desertification correctly assigns hazards based on the physical geography of each location.

The question tests understanding of why adaptive capacity differs between HICs and LICs. Adaptive capacity depends on financial resources, institutions, and ability to borrow — not merely on political will.

LICs face structural constraints: narrow tax bases generate less government revenue; public budgets must prioritise health, education, and poverty reduction over climate adaptation; and weaker sovereign credit ratings make borrowing on international markets expensive or unavailable.

These constraints mean LICs cannot self-fund large infrastructure projects like early-warning systems or flood barriers. They therefore depend on mechanisms such as the Green Climate Fund, bilateral aid, and multilateral loans — forms of climate finance.

Limited domestic tax bases, competing development priorities, and weaker credit ratings correctly identify the structural financial constraints that drive LIC dependence on international climate finance.

The question asks why an LIC needs external funding for climate adaptation rather than relying on domestic revenue.

International weather broadcasting is unrelated to a government's funding capacity. Early-warning system development is an infrastructure cost issue, not a broadcasting access issue. This option is irrelevant and can be dismissed.

International agreements like the Paris Agreement establish frameworks and aspirational finance targets, but they do not automatically deliver infrastructure to LICs at no cost. Funding must be applied for, negotiated, and approved — it is not automatic.

This is the opposite of reality: international climate finance often comes with significant conditionality, reporting requirements, and political attachments. LICs seek external finance out of necessity, not preference for simpler bureaucracy.

Only limited domestic tax bases, competing development priorities, and weaker credit ratings accurately describes the structural barriers that prevent LICs from self-funding adaptation — making external climate finance a necessity rather than a choice.

Climate vulnerability is shaped by exposure, sensitivity, and adaptive capacity. For women in many LICs, caregiving duties increase sensitivity (more time and energy required to secure basic resources during droughts) while restricted access to land, credit, and agricultural training reduces adaptive capacity.

When water sources dry up, women must walk further and spend more time collecting water — increasing physical risk and reducing time for income-generating activities. Without access to credit or land titles, women cannot invest in wells, irrigation, or drought-resistant seeds that would mitigate the impact.

Gender vulnerability in IB Geography is framed as a social and resource-access issue, not a biological one. Physical caregiving responsibilities and unequal resource access — not inherent physical weakness — explain the disparity in vulnerability.

Heavier caregiving burdens and less access to land, credit, and agricultural resources correctly identifies the social mechanisms that increase women's sensitivity and reduce their adaptive capacity relative to men facing the same drought hazard.

The question asks which combination of factors explains women's greater climate vulnerability in a drought scenario, requiring a social — not biological — explanation.

The IB syllabus explicitly frames gender vulnerability as a matter of social roles and unequal resource access, not biological vulnerability. An answer based on innate biological weakness misrepresents the concept and earns no credit for understanding.

The qualifier 'in all rural communities' is an overgeneralization. Education levels vary enormously by region, country, and community. This option makes an unsupported universal claim and also conflates education inequality (a separate variable) with the specific social-role mechanism driving gender vulnerability.

Cultural norms and social restrictions — not personal preference — limit women's mobility in many communities. This option misrepresents the social mechanism and ignores the structural constraints on women's decision-making power.

Only heavier caregiving burdens and less access to land, credit, and agricultural resources correctly identifies the social role and resource-access mechanisms that increase sensitivity and reduce adaptive capacity for women in this drought scenario.