Date | May 2021 | Marks available | 1 | Reference code | 21M.3.AHL.TZ2.2 |
Level | Additional Higher Level | Paper | Paper 3 | Time zone | Time zone 2 |
Command term | Write down | Question number | 2 | Adapted from | N/A |
Question
Alessia is an ecologist working for Mediterranean fishing authorities. She is interested in whether the mackerel population density is likely to fall below mackerel per , as this is the minimum value required for sustainable fishing. She believes that the primary factor affecting the mackerel population is the interaction of mackerel with sharks, their main predator.
The population densities of mackerel ( thousands per ) and sharks ( per ) in the Mediterranean Sea are modelled by the coupled differential equations:
where is measured in years, and and are parameters.
This model assumes that no other factors affect the mackerel or shark population densities.
The term models the population growth rate of the mackerel in the absence of sharks.
The term models the death rate of the mackerel due to being eaten by sharks.
Suggest similar interpretations for the following terms.
An equilibrium point is a set of values of and , such that and .
Given that both species are present at the equilibrium point,
The equilibrium point found in part (b) gives the average values of and over time.
Use the model to predict how the following events would affect the average value of . Justify your answers.
To estimate the value of , Alessia considers a situation where there are no sharks and the initial mackerel population density is .
Based on additional observations, it is believed that
,
,
,
.
Alessia decides to use Euler’s method to estimate future mackerel and shark population densities. The initial population densities are estimated to be and . She uses a step length of years.
Alessia will use her model to estimate whether the mackerel population density is likely to fall below the minimum value required for sustainable fishing, per , during the first nine years.
show that, at the equilibrium point, the value of the mackerel population density is ;
find the value of the shark population density at the equilibrium point.
Toxic sewage is added to the Mediterranean Sea. Alessia claims this reduces the shark population growth rate and hence the value of is halved. No other parameter changes.
Global warming increases the temperature of the Mediterranean Sea. Alessia claims that this promotes the mackerel population growth rate and hence the value of is doubled. No other parameter changes.
Write down the differential equation for that models this situation.
Show that the expression for the mackerel population density after years is
Alessia estimates that the mackerel population density increases by a factor of three every two years. Show that to three significant figures.
Write down expressions for and in terms of and .
Use Euler’s method to find an estimate for the mackerel population density after one year.
Use Euler’s method to sketch the trajectory of the phase portrait, for and , over the first nine years.
Using your phase portrait, or otherwise, determine whether the mackerel population density would be sufficient to support sustainable fishing during the first nine years.
State two reasons why Alessia’s conclusion, found in part (f)(ii), might not be valid.
Markscheme
population growth rate / birth rate of sharks (due to eating mackerel) A1
[1 mark]
(net) death rate of sharks A1
[1 mark]
A1
since R1
Note: Accept .
getting to given answer without further error by either cancelling or factorizing A1
AG
[3 marks]
(M1)
(since ) A1
[2 marks]
M1
Note: Accept equivalent in words.
Doubles A1
Note: Do not accept “increases”.
[2 marks]
is not dependent on R1
Note: Award R0 for any contextual argument.
no change A1
Note: Do not award R0A1.
[2 marks]
A1
[1 mark]
M1
Note: Award M1 is for an attempt to separate variables. This means getting to the point where the integral can be seen or implied by further work.
A1
Note: Accept . Condone missing constant of integration for this mark.
when M1
Note: Award M1 for a clear attempt at using initial conditions to find a constant of integration. Only possible if the constant of integration exists. or “initially” or similar must be seen. Substitution may appear earlier, following the integration.
initial conditions and all other manipulations correct and clearly communicated to get to the final answer A1
AG
[4 marks]
seen anywhere (A1)
substituting into equation (M1)
OR A1
Note: The A1 requires either the exact answer or an answer to at least sf.
AG
[3 marks]
an attempt to set up one recursive equation (M1)
Note: Must include two given parameters and and and or for the (M1) to be awarded.
A1
A1
[3 marks]
EITHER
A2
OR
(mackerel per ) A2
[2 marks]
spiral or closed loop shape A1
approximately rotations (can only be awarded if a spiral) A1
correct shape, in approximately correct position (centred at approx. ) A1
Note: Award A0A0A0 for any plot of or against .
[3 marks]
EITHER
approximate minimum is (which is greater than ) A1
OR
the line clearly labelled on their phase portrait A1
THEN
(the density will not fall below ) hence sufficient for sustainable fishing A1
Note: Do not award A0A1. Only if the minimum point is labelled on the sketch then a statement here that “the mackerel population is always above ” would be sufficient. Accept the value seen within a table of values.
[2 marks]
Any two from: A1A1
• Current values / parameters are only an estimate,
• The Euler method is only an approximate method / choosing might be too large.
• There might be random variation / the model has no stochastic component
• Conditions / parameters might change over the nine years,
• A discrete system is being approximated by a continuous system,
Allow any other sensible critique.
If a candidate identifies factors which the model ignores, award A1 per factor identified. These factors could include:
• Other predators
• Seasonality
• Temperature
• The effect of fishing
• Environmental catastrophe
• Migration
Note: Do not allow:
“You cannot have mackerel”.
It is only a model (as this is too vague).
Some factors have been ignored (without specifically identifying the factors).
Values do not always follow the equation / model. (as this is too vague).
[2 marks]