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How many of the countries shown in Figure 12 had a serious threat level? Shade one circle only - AQA - GCSE Geography - Question 4 - 2023 - Paper 2
Question 4
How many of the countries shown in Figure 12 had a serious threat level? Shade one circle only. A 3 B 4 C 5 D 6 What percentage of the 25 countries sh... show full transcript
Worked Solution & Example Answer:How many of the countries shown in Figure 12 had a serious threat level? Shade one circle only - AQA - GCSE Geography - Question 4 - 2023 - Paper 2
Step 1
How many of the countries shown in Figure 12 had a serious threat level?
Answer
The correct answer is B, which indicates that 4 countries had a serious threat level.
To calculate the percentage of countries with a serious threat level, use the formula:
ext{Percentage} = rac{ ext{Number of countries with serious threat level}}{ ext{Total number of countries}} imes 100Substituting the values:
ext{Percentage} = rac{4}{25} imes 100 = 16\%Thus, 16% of the 25 countries shown had a serious threat level.
Step 2
Describe the pattern of the threat from locusts shown in Figure 12.
Answer
The pattern indicates that locust threats are concentrated in specific regions rather than being uniformly distributed. Areas with arid conditions tend to experience higher incidences of locust outbreaks, as these regions provide suitable breeding and survival conditions for locusts.
Step 3
Step 4
Explain how pests and diseases can affect food supply.
Answer
Pests and diseases can significantly reduce crop yields by damaging plants and reducing their ability to grow. Pest infestations can lead to crop loss, while diseases can affect both the quantity and quality of produce, ultimately threatening food supply.
Step 5
To what extent can appropriate technology and other strategies increase food supply?
Answer
Appropriate technology, such as advanced irrigation systems and pest-resistant crops, can significantly boost food production efficiency. Moreover, strategies like crop rotation and sustainable farming practices can enhance soil health, ensuring a consistent and increased food supply. Additionally, using data analytics for better yield predictions can lead to improved agricultural decisions, ultimately contributing to food security.