Food Webs, Pyramids, and Energy Flow
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Food Webs, Pyramids, and Energy Flow — Free MYP4 Biology Practice Questions

1QuestionConstructing and Analyzing Food WebsConcept Practice
3 marks~5 minCriterion A
A grassland ecosystem contains the following food chain:

Grass → Rabbits → Foxes → Hawks

Energy available at each trophic level:

Grass10000 kJ
Rabbits1000 kJ

Foxes: 100 kJ
Hawks: 10 kJ
a
State one reason why energy is lost between trophic levels. [1]
b
Using the data above, calculate the percentage of energy transferred from rabbits to foxes. Show your working. [1]
c
Explain why the pattern of energy transfer shown in this food chain means that food chains rarely exceed four or five trophic levels. [1]
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2QuestionEnergy Loss at Each Trophic LevelAssessment Practice
4 marks~6 minCriterion A
A grassland ecosystem contains the following food chain with measured biomass values:

Grass → Grasshopper → Frog → Hawk

Biomass at each trophic level:
Grass10000 kg
Grasshopper1000 kg

Frog: 100 kg
Hawk: 10 kg
a
Calculate the percentage of biomass transferred from grass to grasshopper, and from grasshopper to frog. [2]
b
Explain why only approximately 10% of biomass is transferred between trophic levels, referring to specific processes by which energy is lost. [1]
c
The hawk population in this ecosystem declines sharply due to disease. Analyse how this change would affect biomass distribution across the remaining trophic levels. [1]
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3QuestionDisruption of Food WebsAssessment Practice
5 marks~8 minCriterion C
In a coastal ecosystem, researchers tested whether sea otters act as a keystone species controlling sea urchin populations. Two fenced areas were established: a control area (otters present) and an experimental area (otters removed). After two years, the following data were recorded:

Control area: sea urchin density =2 individuals per m2= 2 \ \text{individuals per m}^2; species richness =25= 25 species

Experimental area: sea urchin density =18 individuals per m2= 18 \ \text{individuals per m}^2; species richness =8= 8 species
a
Define the term keystone species. [1]
b
Analyse the data to explain how the removal of sea otters affected species richness in the kelp forest. [2]
c
Evaluate whether the experimental evidence supports the hypothesis that sea otters are a keystone species, identifying two limitations of the experimental design that affect the strength of this conclusion. [2]
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4QuestionBioaccumulation and ToxinsAssessment Practice
8 marks~12 minCriterion D
A coastal community depends on fishing for food and income. Industrial runoff has introduced mercury, a persistent toxin, into the local bay. Mercury concentrations measured across the food chain are:

Plankton: 0.010.01 ppm
Small fish: 0.10.1 ppm
Large fish: 1.01.0 ppm
Sharks: 10.010.0 ppm

The community harvests large fish and sharks as traditional food and for export.
a
Describe the pattern of mercury concentration across the four trophic levels and explain one direct consequence for shark populations. [2]
b
Analyse the impacts of mercury contamination on the local economy and public health. [3]
c
Evaluate the limitations of this food chain model for predicting the real-world spread of mercury in the bay. [3]
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5QuestionConstructing and Analyzing Food WebsAssessment Practice
8 marks~12 minCriterion D
A biotechnology company proposes releasing a genetically modified (GM) mosquito into a tropical rainforest ecosystem. The GM mosquito suppresses a disease-carrying mosquito species but also competes with native insects for nectar from a keystone plant species — a primary food source for several native insect populations. The food web includes: keystone plants (producers) → native insects (primary consumers) → birds and small mammals (secondary consumers) → jaguar (apex predator).
a
Identify two feeding relationships in the food web that would be directly disrupted by the GM mosquito's competition for nectar. [2]
b
Explain how the disruption of native insect populations could trigger a trophic cascade affecting the jaguar population. [3]
c
Evaluate the reliability of laboratory-based risk assessments for predicting the long-term ecological effects of releasing the GM mosquito into the rainforest. [3]
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Solutions

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