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GARP Sustainability and Climate Risk Certificate Climate Change Impacts on Agriculture & Food Systems: practice questions

GARP Sustainability and Climate Risk (SCR) Certificate · International · Global Association of Risk Professionals

Original practice questions written to the published syllabus · not past papers
10worked here, free
21written to this exam in this subject
11syllabus units

About GARP Sustainability and Climate Risk Certificate

GARP Sustainability and Climate Risk (SCR) Certificate is a professional certification run by Global Association of Risk Professionals, for candidates worldwide. 80 multiple-choice questions and one multi-part case study, 4 hours, pass/fail. Offered in April and October windows. GARP suggests 100–150 hours of preparation.

Source: garp.org.

Checked against the exam body's published information. Formats and fees change; confirm the current edition there before you book.

Climate Change Impacts on Agriculture & Food Systems in GARP Sustainability and Climate Risk Certificate

What a warmer, more variable climate does to crops, livestock, fisheries, pests, water and food security, and how impacts are studied with experiments and crop models.

Our 21 GARP Sustainability and Climate Risk Certificate questions in this subject: 0 easy, 13 medium, 8 hard, across 11 units.

10 practice questions, worked

Choose an answer, then open the working. Each explanation says why the right answer is right and why the others are not.

These 10 were written to GARP Sustainability and Climate Risk Certificate and are not shown on any other exam's page.

Question 1 · medium

Why are simultaneous harvest failures in several major breadbaskets treated as a systemic risk for global food supply?

  1. Breadbaskets share one irrigation system, so a single canal failure stops production in all of them
  2. World prices are fixed by treaty, so supply shortfalls never reach consumers in importing countries
  3. Each breadbasket grows a different crop, so a failure in one is always offset by surplus in the others
  4. Patterns such as ENSO link them, and joint shortfalls overwhelm trade and stocks
Answer and working

D. Patterns such as ENSO link them, and joint shortfalls overwhelm trade and stocks

Teleconnections such as ENSO can cause correlated shocks across regions; when several exporters fail together, stocks and trade cannot buffer the loss and prices spike. Breadbaskets do not offset each other automatically, prices are not fixed by treaty, and they share no single irrigation system.

Question 2 · medium

A heatwave in a major wheat-exporting country cuts its harvest, and the government bans exports. What is the main way this harms poor households in distant importing countries?

  1. The importing country's own farms lose all access to fertiliser that season
  2. Higher world grain prices cut what poor net food buyers are able to afford
  3. Imported grain becomes contaminated with heat-produced toxins in transit
  4. Heat travels with the traded grain and damages crops in the importing country
Answer and working

B. Higher world grain prices cut what poor net food buyers are able to afford

Price transmission is the dominant channel: export bans tighten world supply and raise prices, hurting poor net food buyers who spend much of their income on food. Heat is not transported with grain, fertiliser access is a separate issue, and heat in the field does not contaminate grain in transit.

Question 3 · medium

Why can a season with normal total monsoon rainfall still produce low rainfed yields?

  1. Late onset, dry breaks or early withdrawal stress crops at critical stages
  2. Rainfall totals are measured only at the coast, which never reflects inland farms
  3. Normal rainfall always causes waterlogging, which kills rainfed crops within days
  4. Rainfed crops need no water after sowing, so the rain timing has no effect at all
Answer and working

A. Late onset, dry breaks or early withdrawal stress crops at critical stages

Rainfed yields depend on the distribution of rain: a dry spell at flowering or a delayed onset that forces late sowing can cut yields despite a normal total. Normal rain does not always waterlog, gauges are spread inland, and crops need water throughout.

Question 4 · medium

An oyster hatchery on an upwelling coast suffers repeated larval die-offs. Which climate-related cause is most likely, and what is the standard response?

  1. Corrosive low-pH upwelled water; monitor and buffer the intake water chemistry
  2. Too little salt from melting sea ice; add fresh water to dilute the intake
  3. Excess dissolved oxygen in cold water; heat the tanks to drive off the oxygen
  4. Higher seawater pH from warming; add carbon dioxide to the tanks to lower it
Answer and working

A. Corrosive low-pH upwelled water; monitor and buffer the intake water chemistry

Upwelled water rich in CO2 and low in carbonate saturation harms larval bivalves building aragonite shells; hatcheries monitor and buffer intake water. The other causes and responses are wrong in direction or mechanism.

Question 5 · medium

After a cyclone surge floods coastal rice fields, which recovery approach addresses the salinity problem most directly?

  1. Apply extra nitrogen fertiliser so the crop can outgrow the salt in the same season
  2. Leave the field flooded with seawater so the salt is diluted by the next tide
  3. Burn crop residues on the field to evaporate the salt from the upper soil layer
  4. Leach salts with fresh water and drainage, then sow salt-tolerant varieties
Answer and working

D. Leach salts with fresh water and drainage, then sow salt-tolerant varieties

Leaching with fresh water (rain or irrigation) plus drainage removes salts, and tolerant varieties (such as those carrying Saltol) reduce losses meanwhile. Fertiliser does not counter osmotic stress, more seawater adds salt, and burning does not remove salt.

Question 6 · hard

A ministry adviser argues that because national cereal production is rising, climate change poses no food-security risk. What is the strongest response?

  1. Cereal production is irrelevant to food security, which depends only on fish supply
  2. National production is always measured incorrectly, so the trend cannot be trusted
  3. Production is only availability; access, utilisation and stability may still fail
  4. Rising production proves climate change is beneficial, so the adviser can be considered correct
Answer and working

C. Production is only availability; access, utilisation and stability may still fail

Food security has four dimensions; aggregate production says little about whether the poor can afford food, whether it is nutritious and safe, or whether supply is stable through shocks. Rising output does not prove benefit, cereals matter, and statistics are not always wrong.

Question 7 · medium

What is a main weakness of statistical yield–weather models for projecting impacts decades ahead?

  1. They always overestimate yields because they ignore the effects of temperature
  2. They assume past relationships hold despite new CO₂, technology and adaptation
  3. They need daily cultivar coefficients that are never available for any crop
  4. They cannot use real farm data and rely only on greenhouse experiments for inputs
Answer and working

B. They assume past relationships hold despite new CO₂, technology and adaptation

Statistical models are fitted to historical data and may not extrapolate to unobserved climates, CO2 levels or management. They do use real farm data, do not need cultivar coefficients, and include temperature.

Question 8 · hard

Why did Zhao and colleagues (2017) combine four methods to estimate temperature effects on global crop yields?

  1. The journal required four methods, and the result from each was simply added together
  2. Each method has different biases, so agreement across them makes the estimate more robust
  3. Only statistical methods give valid results, and the others were included for comparison only
  4. No single method can produce any estimate at all, so four were needed to obtain one number
Answer and working

B. Each method has different biases, so agreement across them makes the estimate more robust

They used global gridded models, local point models, statistical regressions and field-warming experiments; consistent results across methods with different weaknesses increase confidence. Each method produces estimates; results were compared, not summed.

Question 9 · hard

Why are crop-model impact estimates that omit pests, diseases, ozone and waterlogging generally considered optimistic?

  1. These omitted stresses always increase yields, so leaving them out exaggerates losses
  2. These omitted stresses add losses, so leaving them out understates damage
  3. These omitted stresses are already counted twice in the temperature response
  4. These omitted stresses only affect quality, so leaving them out has no effect on yields
Answer and working

B. These omitted stresses add losses, so leaving them out understates damage

Pests, diseases, ozone and waterlogging are mostly additional yield-reducing factors that many models do not simulate, so their omission tends to make projected yields too high. They do not raise yields, they affect quantity as well as quality, and they are not double-counted.

Question 10 · hard

A district relieves drought by drilling deep tube wells that are pumped faster than the aquifer recharges. How is this best classified?

  1. Mitigation, because it reduces greenhouse gas emissions from irrigation pumps
  2. Transformational adaptation, because it permanently removes drought risk
  3. Maladaptation, because it reduces present risk while raising future vulnerability
  4. Incremental adaptation with no trade-offs, because water is always renewable
Answer and working

C. Maladaptation, because it reduces present risk while raising future vulnerability

Unsustainable groundwater use is a textbook case of maladaptation: it shifts vulnerability to the future as the aquifer depletes. It does not remove drought risk, is not mitigation (pumping adds emissions), and groundwater is not always renewable on human time scales.

A study plan for Climate Change Impacts on Agriculture & Food Systems in GARP Sustainability and Climate Risk Certificate

This plan follows where our questions actually fall, so the time goes where the marks are likely to be. It is our reading of the syllabus, not the exam body's weighting.

  1. First, the heavy units (43% of the 21 questions): Climate change, food security and nutrition (3, 14%); Climate and pests, diseases and weeds (2, 10%); Crop simulation models for impact assessment (2, 10%); Fisheries and aquaculture under climate change (2, 10%).

    Read the manual chapters for these first and do every worked question you can find on them.

  2. Then the middle band: Methods: field experiments, FACE, statistical and process models (2, 10%); Pathways of climate impact on food systems (2, 10%); Regional vulnerability and climate hotspots (2, 10%); Sea-level rise and salinisation of coastal farmland (2, 10%).

    Aim for one sitting per unit, then mixed questions across them.

  3. Then the lighter units: Temperature, heat stress and crop phenology (2, 10%); Drought, floods and changing rainfall patterns (1, 5%); Livestock heat stress and feed availability (1, 5%).

    Learn the definitions, classifications and standard numbers; these units are more often recalled than worked.

  4. Leave time for the hard ones: Climate change, food security and nutrition (2 hard of 3), Crop simulation models for impact assessment (1 hard of 2), Fisheries and aquaculture under climate change (1 hard of 2).

    Come back to these after a first pass, untimed, and read every explanation, including for the options you rejected.

  5. Finish timed. Sit the subject as a timed set without notes, mark it, and send each wrong answer back to its unit above.

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