Question 1
6 marksAn invasive non-native plant grows up to 2 m tall along riverbanks. It forms dense stands in summer and dies back in winter. Ecologists investigated its effect on native plants. Along one river, they marked out 20 square areas, each 2 m × 2 m, in dense stands of the invasive plant. In 10 of these areas, chosen at random, they pulled up every invasive plant each spring for 2 years; in the other 10 areas they did nothing. After 2 years, they recorded the number of native plant species in each area. In midsummer, the light intensity at ground level was 55% of full daylight in the areas where the invasive plant had been removed and 12% in the other areas.
The graph shows the mean number of native plant species per area. The error bars show ± 2 standard deviations, which includes over 95% of the data.
Use the error bars to explain what you can conclude about the difference between the two treatments.
Use the information to explain how the invasive plant affects native plants.
Explain why the areas from which the invasive plant was removed were chosen at random.
The ecologists concluded that pulling up the invasive plant is the best way to conserve native plants along rivers. Give one reason why the data do not support this conclusion.
Model answer
The error bars do not overlap (10 to 18 species compared with 3 to 9), so the difference between the means is probably not due to chance: removing the invasive plant significantly increased the number of native species.
The invasive plant competes with native plants (interspecific competition). It is tall and forms dense stands, so it shades the native plants: light at ground level was only 12% of daylight, compared with 55% where it was removed. The native plants therefore photosynthesise less and cannot make enough sugars to grow and reproduce, so fewer species survive. It may also compete with them for water and mineral ions.
Choosing the areas at random avoids bias, so that other variables such as soil type or flooding are spread between the two treatments and do not cause the difference.
The data do not support the conclusion because no other method of control, such as cutting or using herbicide, was compared.
Explanation
Non-overlapping ± 2 SD bars suggest a real (significant) difference between means; overlapping bars suggest the difference may be due to chance. Invasive species often reduce biodiversity by out-competing native species for light, and the light measurements here support that explanation. Random allocation of treatments is how an investigation avoids bias from uncontrolled variables in the field. A claim that one method is "best" needs a comparison with other methods.
Mark scheme
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1 mark
The error bars / ± 2 SD ranges (10 to 18 and 3 to 9) do not overlap
Max 6. Points 1 and 2.
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1 mark
So the difference in the mean number of native species is probably not due to chance / is significant
Reject 'the results are not due to chance' and 'the results are significant' (it is the difference that may or may not be due to chance).
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1 mark
(Interspecific) competition between the invasive plant and native plants
Points 3 to 5: max 2. Reject intraspecific competition.
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1 mark
For light: the tall invasive plant shades the native plants (12% compared with 55% of daylight), so they photosynthesise less / make too little sugar to grow and reproduce
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1 mark
For water / mineral ions / space, so fewer native species can survive in the areas
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1 mark
To avoid bias: so that differences in other variables (e.g. soil, flooding, shade from trees) are spread between the two treatments / each area has an equal chance of being in either treatment
Point 6. Insufficient: 'to make it fair' or 'to make it reliable' with no explanation.
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1 mark
No other methods of control (e.g. cutting, grazing or herbicide) were compared
Points 7 to 9: max 1. List rule: if more than one reason is given, a wrong or contradictory extra answer cancels the correct one.
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1 mark
Only one river / one stretch of river was studied, so the results may not apply to other rivers
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1 mark
Only 2 years: the long-term effect (e.g. regrowth from seeds in the soil) is not known