Overfishing reduced food availability for sea lions in California, causing a decline in their population size. In 1972, under the US Endangered Species Act, fishing was banned from sea lion foraging areas. Subsequently, the population of sea lions increased in a logistic form as shown in the figure. The per capita growth rate is highest in the interval __________ and the population growth rate is highest in the interval __________
The figure displays a population growing in a logistic manner, modeled by the S-shaped curve. We need to identify the intervals where the per capita growth rate and the population growth rate are highest.
The population growth rate is maximized where the slope of the curve is steepest. In the logistic model, the slope is maximum when the population size ($N$) is exactly half the carrying capacity ($K$): $N = K/2$.
Since $K \approx 105$ (thousand), $K/2 \approx 52.5$ (thousand).
Looking at the curve, the point of steepest inflection occurs centrally in the rapidly rising phase, which corresponds to **Interval II**.
Thus, the population growth rate is highest in **Interval II**.
The per capita growth rate is $r(1 - N/K)$. Since $r$ and $K$ are positive constants, this rate is highest when $N$ is smallest.
The smallest population size $N$ occurs at the beginning of the growth phase shown, which is within **Interval I** (where the population is still low, around 15 thousand).
Thus, the per capita growth rate is highest in **Interval I**.
The structure requested is: (Per capita growth rate is highest in the interval) , (population growth rate is highest in the interval).
The corresponding intervals are: **I, II**.
This matches Option 1.
The population of whirligig beetles in a lake grows or declines exponentially i.e.
$N(t) = N(0)e^{rt}$
where $N(t)$ is the population size at time $t$, $N(0)$ is the initial population size and $r$ is the per capita rate of population change, occurring only due to birth and death.
A researcher tracks population sizes for a year and finds the following:
| Time interval | Number of beetles at start | Number of beetles at end |
| January - March | 1000 | 150 |
| April – June | 150 | 3013 |
| July – September | 3013 | 100 |
| October - December | 100 | 2009 |
Assuming that the individual birth rates remain constant throughout the year and only death rates are affected, which one or more of the following statements is/are true?
(In your calculations, round off the birth and date rates to two decimal places)
The graphs shown represent the relationship between population size ($N$) and population growth rate ($\frac{dN}{dt}$). Which one of the following growth curves represents a density-dependent population that experiences a strong Allee effect?

Consider the logistic population growth model, given by $$ \frac{dn}{dt} = rn \left(1 - \frac{n}{k}\right) $$ where $r$ is the intrinsic growth rate, $n$ is the population size and $k$ is the carrying capacity. Which one or more of the following is/are assumption(s) of the model?
A population of unicorns is growing over time, but its rate of growth is declining. Which of the following graphs best represents this pattern of growth?
