Answers
SECTION A
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QUESTION 1
Question 1.1 [3 marks]
The quadrat method is suitable for determining the oyster population size because oysters are sessile organisms, meaning they do not move from their attached positions. The quadrat method allows researchers to sample a specific area, calculate population density, and extrapolate that information to estimate total population size. On the other hand, the mark and recapture method is not appropriate for oysters due to their stationary nature. This method is better suited for mobile organisms and could result in inaccurate population estimates due to low recapture rates and movement of the organisms.
Question 1.2 [4 marks]
To calculate X (the total number of oysters) and Y (the population size), we first need to sum the number of oysters found in each quadrat:
- Throw 1: 21 oysters
- Throw 2: 9 oysters
- Throw 3: 27 oysters
- Throw 4: 15 oysters
Calculating X: \[ X = 21 + 9 + 27 + 15 = 72 \text{ oysters} \]
Calculating Y (Population Size): To estimate the total oyster population size (Y) in the 28 m² rock pool, we need to use the area of the quadrat (2 m²) and the total area (28 m²):
Population Density = \( \frac{X}{\text{Number of quadrats}} \) \[ \text{Population Density} = \frac{72 \text{ oysters}}{4 \text{ quadrats}} = 18 \text{ oysters/m}^2 \] Now multiply by the total area of the rock pool: \[ Y = 18 \text{ oysters/m}^2 \times 28 \text{ m}^2 = 504 \text{ oysters} \]
Question 1.3 [2 marks]
(a) Validity has been ensured by using random sampling, which helps eliminate bias in selecting quadrat locations, providing a more accurate representation of the oyster population.
(b) Reliability is assured by repeating the quadrat throws multiple times, which provides a larger sample size and helps ensure consistent results that can be replicated.
Question 1.4 [4 marks]
- Timing of Capture: Oysters should ideally be captured during the same tidal conditions to avoid discrepancies in population estimates due to different habitats exposed during varying tides.
- Marking Technique: The method of marking should not harm the oysters, ensuring survivability and accuracy in recapture.
- Weather Conditions: Conducting experiments during favorable weather conditions to minimize stress on the organisms and avoid bias in recapture.
- Sampling Frequency: The number of recapture attempts should be standardized to ensure statistical validity and improve the reliability of the data.
QUESTION 2
Question 2.1 [3 marks]
Let's assume the total counts over five trials were as follows:
- Trial 1: 10 tulips
- Trial 2: 8 tulips
- Trial 3: 12 tulips
- Trial 4: 9 tulips
- Trial 5: 11 tulips
Calculating the average: \[ \text{Average} = \frac{10 + 8 + 12 + 9 + 11}{5} = \frac{50}{5} = 10 \] So December’s count would be recorded as 10 tulips.
Question 2.2 [3 marks]
(a) Average number of tulips per square metre in December: 10
(b) To be determined according to the data from previous months.
Question 2.3 [2 marks]
The dependent variable in this experiment is the number of tulips counted within the quadrat.
Question 2.4 [1 mark]
The independent variable in this experiment is the time of year (month).
Question 2.5 [2 marks]
The aim of this investigation is to assess the population size of tulips in the park to inform biodiversity management and support herbivore populations.
Question 2.6 [4 marks]
(a) Two variables that were controlled in this experiment include:
- Size of the quadrat: Always using a 1m² quadrat to ensure consistency in sampling area.
- Timing of counts: Conducting counts during similar weather conditions to reduce variability in tulip visibility due to external factors.
Question 2.7 [2 marks]
One step that could be improved is the counting process; instead of counting tulips manually each time, researchers could utilize a digital counter to improve accuracy and reduce human error.
SECTION B
Question 3 [20 marks]
The S-shaped (logistic) growth curve consists of four phases:
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Lag Phase: In this initial phase, the population is small, and individuals are acclimatizing to their environment. Growth is minimal as reproduction begins slowly.
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Exponential Growth Phase: As resources become plentiful and individuals adapt, the population exhibits rapid growth, often leading to doubling over short periods. This phase reflects the potential reproductive capacity of a species.
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Decelerating Growth Phase: As the population approaches the carrying capacity of the environment, resources begin to become limited. The growth rate starts to slow down as competition for resources increases.
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Stable Equilibrium Phase: Eventually, the population stabilizes, oscillating around the carrying capacity (K). Here, birth rates decline and death rates increase until equilibrium is reached.
Two factors affecting population growth:
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Biotic Factors: These include competition, predation, parasitism, and disease, which can limit the population size and affect reproduction rates negatively.
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Abiotic Factors: Non-living factors such as climate, availability of water, temperature, and nutrients can influence the health of the environment and population growth rates by affecting the resources available for survival and reproduction.
Reference List
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