Extremadura PAU Geography common mistakes
Extremadura PAU Geography · Understand the traps and how to avoid them.
When interpreting climate data or a climate diagram, the candidate reads off temperature and precipitation values but does not derive the climate classification, the water balance, or the consequences for vegetation, soils, and land use.
Candidates memorise the diagram layout but not the causal chain behind it. They treat reading values as the answer rather than as the first step.
What to do instead
Work through a fixed sequence: annual mean, amplitude, seasonal distribution of precipitation, arid/humid months, then climate type with justification, then consequences (soil, vegetation, agriculture, natural hazards). Practise with contrasting stations (e.g. a tropical monsoon station versus a Mediterranean station) and always state which feature drives the classification.
In relief and geomorphology tasks, the candidate names landforms (e.g. a glacial trough, a karst depression, a delta) but cannot explain the process sequence that formed them, or confuses the timescale involved.
Landform names are easy to memorise and appear in diagrams, so revision stops at labelling. The candidate has not internalised the driving processes (erosion, transport, deposition, weathering, tectonics) or their temporal scale.
What to do instead
For each landform, write a process chain in five steps (agent, process, material, form, evidence in the landscape) and attach an order of magnitude for the time needed. Link the form to a map or photograph in the material by asking what evidence would confirm the process. Test yourself by explaining a landform to someone without using its name.
In population and migration tasks, the candidate describes a population pyramid or migration figures without linking them to the demographic transition model, push-pull factors, or the consequences for infrastructure and labour markets.
The candidate treats models as content to be reproduced rather than as instruments for interpretation, and does not connect demographic structure to economic and social outcomes.
What to do instead
Use a two-column routine: what the data show, and what they imply for at least two other domains (economy, housing, schools, pensions, health care). Assess whether a demographic-transition model fits the supplied indicators, and state where migration or other conditions limit that model. For migration, distinguish causes, flows, and consequences in origin and destination separately.
In locational-change tasks (Standortfragen), the candidate lists location factors (raw materials, transport, labour, market, taxes, subsidies) without weighting them, and without explaining why an industry relocated or a service concentrated in a city.
Factor lists are easy to reproduce and appear comprehensive, so the candidate stops there. They do not distinguish hard from soft factors, or changed conditions over time (transport costs, digitalisation, labour costs).
What to do instead
Rank factors for the specific case and justify the ranking with the material. Use a simple filter: which factors changed, which are footloose, which are bound to a place. Compare two locations on the same shortlist of factors. State the consequence for employment and regional development, not only for the firm.
In urban geography tasks, the candidate describes a city model or a map of land use without connecting it to real processes such as suburbanisation, gentrification, segregation, or the effect of planning instruments.
Models are taught as ideal types, and candidates do not practise mapping observed patterns onto them or identifying where the model fails.
What to do instead
For each urban process, prepare a cause, spatial pattern, social consequence, and planning response. When a map is given, identify the pattern first, name the process it suggests, then test it against the model and state the deviation. Practise with a German or European city and a city in the Global South to see where the models break down.
In globalisation and development tasks, the candidate uses blunt categories ("developing country", "the Global South", "exploitation") as explanations, and equates development with GDP growth alone.
Everyday labels and media language are absorbed uncritically, and the candidate has not practised using differentiated indicators or dependency and world-systems arguments with evidence.
What to do instead
Replace labels with indicators and their limits (GDP per capita, HDI, Gini, literacy, life expectancy), and state which indicator you use and why. Distinguish description from explanation from evaluation in separate sentences. Practise applying at least two theoretical perspectives (e.g. modernisation versus dependency) to the same case and naming what each explains and misses.
In the material-based task (Materialaufgabe), the candidate describes what each material shows one after another ("Material 1 zeigt..., Material 2 zeigt...") and never builds an argument that answers the actual question in the Aufgabenstellung.
School practice often rewards complete description, and candidates fear that leaving out a detail will lose points. They treat the materials as the content rather than as evidence, so they never formulate a hypothesis or a guiding question (Leitfrage).
What to do instead
Before writing, underline the operator (analysieren, erläutern, bewerten) and the object of the question, then write a one-sentence answer to it. Assign each material a function: which one provides data, which a model, which a counter-position. Structure the text as claim, evidence from a named material, interpretation, and only then the next material. Practice by converting three materials into a single argumentative outline in five minutes.
Candidates write about a location or space in general terms ("the region is structurally weak", "the climate is extreme") without naming concrete locations, maps, coordinates, or figures from the material.
The candidate has learned labels from textbooks but not the habit of anchoring statements to the given source. Under time pressure, general knowledge feels safer than reading the map or table carefully.
What to do instead
Adopt a rule: every spatial statement gets a locational anchor (topographic name, map grid, latitude/longitude, or a figure from the material). Build a personal checklist of scale levels (local, regional, national, global) and state explicitly which scale you are arguing on. In practice, annotate the map before writing and cite relevant supplied evidence without inventing missing figures.
In the evaluation task (Bewertung/Erörterung), the candidate lists pros and cons in two separate blocks and ends without a reasoned judgement, or with a vague sentence such as "it depends on the circumstances".
The candidate confuses balance with evaluation and believes that taking a clear position is unscientific. Many also run out of time because they spend it on description.
What to do instead
Use an explicit evaluation framework: criteria (ecological, economic, social, spatial), weighting of criteria, application to the case, and a justified overall judgement with its limits. Reserve a planned portion of practice time for the judgement; this is a study choice, not an official exam rule. Practise writing a 100-word judgement that names the strongest counter-argument and says why it does not overturn the conclusion.
In sustainability and resource tasks, the candidate asserts that something is or is not sustainable without defining the concept, choosing a reference framework, or distinguishing ecological from economic and social dimensions.
Sustainability is used as a slogan in public debate, and the candidate has not practised operationalising it with a model such as the three-pillar model, the ecological footprint, or the planetary boundaries.
What to do instead
At the start of the answer, name the framework you will apply and what it measures. Apply it to the case with at least one quantitative indicator from the material. Then state the trade-offs between dimensions explicitly and conclude which dimension is prioritised and why. Rehearse this on one resource case (water, energy, land, or a raw material) with a strong and a weak framework to see the difference.