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Board Exam Tips

  • →Birth and death rates are per capita rates. Divide by the starting population and write the unit in words (offspring per lotus per year, deaths per fruit fly per week).
  • →In the growth equation N(t+1) = N(t) + [(B + I) − (D + E)], immigration adds and emigration subtracts. List all four numbers before substituting.
  • →Sketch both growth curves on one set of axes: the J-shaped exponential curve and the S-shaped logistic curve that levels off at K. Label lag, acceleration, deceleration and asymptote.
  • →Learn the interaction table with signs (+, −, 0) and one NCERT example for each. Parasitism and predation are both (+, −) — the difference is in how the host or prey is used.
  • →For 'why is logistic growth more realistic?', the key phrase is that resources are finite and become limiting sooner or later.

📐 Formulas(14)

✏️ Solved Examples

1Solved Exampleeasy2 steps

A pond had 50 lotus plants at the start of a year, and 15 new plants were added by reproduction during the year. In a laboratory, 12 of 80 fruit flies died in one week. Calculate the birth rate of lotus and the death rate of fruit flies.

1

Birth rate is births divided by the starting population.

2Solved Exampleboard3 steps

A deer population has density 500 at the start of a year. During the year there are 60 births, 40 deaths, 15 immigrants and 10 emigrants. Find the density at the end of the year and state whether it is growing. (2 marks)

1

Write the growth equation.

3Solved Exampleboard3 steps

A bacterial culture starts with 1000 cells and grows exponentially with r = 0.2 per hour under unlimited resources. Estimate the number of cells after 10 hours.

1

Use the integral form of exponential growth.

4Solved ExampleHOTS4 steps

A population has r = 0.4 per year and carrying capacity K = 1000. Compare its growth rate dN/dt under the exponential and logistic models when N = 250. What is the logistic growth rate at N = 1000?

1

Exponential model.

⚠️ Traps & Common Mistakes

⚠️Common Mistakes6
  • 1

    Leaving out immigration and emigration in the growth equation

    ✓N(t+1) = N(t) + [(B + I) − (D + E)]. Immigrants add to the population and emigrants leave it.

  • 2

    Writing the logistic factor as (N − K)/K

    ✓It is (K − N)/K. While N is below K this factor is positive and shrinks towards zero as N approaches K.

  • 3

    Entering r as a percentage, e.g. r = 2 instead of 0.02

    ✓r is a per capita rate. Convert any percentage to a decimal and keep r and t in the same time units.

  • 4

    Marking parasitism as (+, 0) or commensalism as (+, −)

    ✓Parasitism is (+, −): the host is harmed. Commensalism is (+, 0): one benefits and the other is neither harmed nor benefited.

  • 5

    Thinking predators only harm the prey population

    ✓Predators keep prey populations under control and help maintain species diversity. When the starfish Pisaster was removed from an intertidal area, more than 10 invertebrate species became extinct within a year due to competition.

  • 6

    Saying total number is always the best measure of population size

    ✓For a few large organisms (one huge banyan tree versus 200 Parthenium plants) per cent cover or biomass is more meaningful.

🎯 Practice Yourself

🎯Practice Yourself6 questions
  1. Q1

    6 new individuals are added through births to a population of 30 in a year. What is the birth rate?

  2. Q2

    N(t) = 1200, B = 90, D = 70, I = 20, E = 40. Find N(t+1) and comment.

  3. Q3

    A population of 200 grows exponentially with r = 0.1 per day. Estimate its size after 10 days (e ≈ 2.718).

  4. Q4

    Under logistic growth with r = 0.5 per year and K = 400, what is dN/dt when N = 400?

  5. Q5

    Name the interaction in which one species benefits and the other is unaffected, and give one example.

  6. Q6

    State Gause's competitive exclusion principle.

📝 Notes

Organisms and Populations

This chapter treats a population as a unit with its own attributes — birth rate, death rate, sex ratio and age distribution — that individuals do not have. It then asks how populations grow and how species interact.

From attributes to the growth equation

Birth and death rates are always per capita: divide by the starting number. The four processes that change density combine in one bookkeeping equation:

Nt+1=Nt+[(B+I)−(D+E)]N_{t+1} = N_t + [(B + I) - (D + E)]

In board numericals, list B, I, D and E first, then substitute. Equal inflow and outflow give a stable population.

Two growth models

  • Exponential — dN/dt=rNdN/dt = rN, or Nt=N0ertN_t = N_0 e^{rt}. It assumes unlimited resources and gives a J-shaped curve. Here r=b−dr = b - d is the intrinsic rate of natural increase.
  • Logistic — dN/dt=rN(K−N)/KdN/dt = rN(K - N)/K. Resources are limited, so growth slows near the carrying capacity K and the curve is S-shaped, with lag, acceleration, deceleration and asymptote phases.

A useful check: for small N the logistic factor is close to 1 and the two models agree; at N = K the logistic growth rate is exactly zero.

Interactions — learn the signs

Write the six interactions with their (+, −, 0) signs and one example each. Predation and parasitism share the same signs. Competition can occur between totally unrelated species (flamingoes and resident fishes competing for zooplankton) and even when resources are not limiting (interference competition). Gause's principle and resource partitioning (MacArthur's warblers) often appear together in a single answer.

Life history

Organisms that breed once (Pacific salmon, bamboo) and those that breed many times (most birds and mammals) show how populations evolve to maximise reproductive fitness in their habitat.

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