Nagarahole National Park in southern India is a forest ecosystem that is important for the conservation of large mammals such as the Asian elephant, Elephas maximus. Conflicts between people and elephants in the area surrounding the national park can threaten conservation work. [Figure 2.1] shows a group of Asian elephants. Several coffee farms (farms where coffee is the crop) are found close to Nagarahole National Park. Asian elephants sometimes leave the national park and enter the coffee farms. Elephants damage crops and trees, and sometimes injure people who work on the farms. December trees, Erythrina subumbrans, are planted on coffee farms to provide shade and are often damaged when elephants enter the farms. Some scientists wanted to investigate the reasons why elephants enter coffee farms close to Nagarahole National Park. 20 coffee farms in an area to the south of Nagarahole National Park were chosen at random. In March 2008, the scientists measured four variables at each coffee farm, as shown in Table 2.1. Table 2.1 variable | how the variable was determined for each coffee farm ---|--- water availability | counting the number of ponds, lakes and water holes visible in satellite images density of December trees | counting the number of December trees in ten circular areas, each with a radius of 10 m grass biomass | drying and measuring the dry mass of all the grass leaves collected in 50 randomly selected areas of 0.25 m² distance from Nagarahole National Park | using GPS to measure the distance between the boundary of Nagarahole National Park and the boundary of the farm Farmers from each coffee farm completed a questionnaire to record when elephants entered the farm. The scientists decided to use Spearman's rank correlation to investigate the relationship between each of the four variables in Table 2.1 and the number of months that elephants entered each coffee farm per year.
- (a)State two conditions that allow Spearman's rank correlation to be used in this investigation.[2]
- (b)State a null hypothesis for testing whether there is a correlation between water availability and the number of months that elephants entered each coffee farm per year.[1]
- (c)(i)Table 2.2 shows the results of using Spearman's rank correlation (r_s) to investigate the relationship between each of the four variables in Table 2.1 and the number of months that elephants entered each coffee farm per year. The table is not complete. Table 2.2 variable | r_s value | significance ---|---|--- water availability | 0.63 | density of December trees | -0.30 | grass biomass | 0.02 | distance to Nagarahole National Park | 0.38 | Table 2.3 shows some critical values for the Spearman's rank correlation at different probabilities. When comparing critical values in Table 2.3 with values of Spearman's rank correlation that are negative, the minus sign should be ignored. Table 2.3 number of paired observations | probability ---|---|---|--- | 0.50 | 0.10 | 0.05 | 0.01 18 | 0.170 | 0.401 | 0.472 | 0.600 19 | 0.165 | 0.391 | 0.460 | 0.584 20 | 0.161 | 0.380 | 0.447 | 0.570 21 | 0.156 | 0.370 | 0.435 | 0.556 For each variable in Table 2.2, decide whether the r_s value is significant or not significant. Record your decision in the third column of Table 2.2, headed significance. Write yes if the value is significant or no if the value is not significant.[1]
- (c)(ii)Describe what can be concluded from Table 2.2 about the relationship between the density of December trees and the number of months that elephants entered each coffee farm per year.[1]
- (d)A coffee farmer living close to a different national park in India wanted to reduce the number of times that elephants entered the farm. The farmer analysed data from the investigation and concluded that reducing the number of ponds, lakes and water holes on the farm would reduce the number of times that elephants entered the farm. Explain how the information provided and the data in Table 2.2 support and do not support this conclusion.[3]
This question uses a diagram from the original paper, which isn't shown here. Open the full paper from the past papers archive to see it.
Mark scheme
Marking points from the official mark scheme (Feb/Mar 2025). The mark or mark type is shown in brackets.
- [2] any two from:
- 1 data, are ordinal / can be ranked ;
- 2 data points within samples are independent of each other ;
- 3 there are 20 paired observations;
- 4 coffee farms / sampling points, were selected at random ;
- 5 AVP;
- [1] (there is) no correlation between the water availability and the number of months that elephants entered each (coffee) farm per year;
- [1] all correct;
- r's value | significance
- ---|---
- 0.63 | yes
- -0.30 | no
- 0.02 | no
- 0.38 | no
- [1] any one from:
- negative correlation / the greater the density of December trees, the fewer the number of months that elephants entered each (coffee) farm/ora and (correlation) is weak / is not significant ;
- there is no correlation (between the density of December trees and the number of months that elephants entered each farm);
- [3] any three from: support:
- 1 idea that reducing water availability is (significantly) correlated with a reduced number of times that elephants enter the (coffee) farm ;
- 2 idea that water availability was the only variable found to be significant (so reducing the number of water bodies might be the most effective action); ora
- does not support (max 2):
- 3 water bodies only counted, once / in March / in 2008 ;
- 4 investigation only, in one geographical area (of India) / at Nagarahole National Park ;
- 5 idea that size of, ponds / lakes / water holes, might also be important;
- 6 idea that (questionnaire) does not record actual, number of times elephants entered the farms / number of elephants (per month);
- 7 idea that correlation does not indicate causation (so reducing the availability of water may not affect the number of elephant visits);
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