Biology  by Bradford
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8.3 Population Ecology: revision map

The subtopic in the middle and five tasks round it: label two diagrams, complete a table and fill 13 gaps. Every box rests on a learning objective of the topic in the AP Biology course and exam description. Type into the blanks and check them, or print it on A4, Letter or A3 with an answer key.

Unit 8 practice questionsThe whole Unit 8 map

Topic 8.3

Population Ecology

AP Biology · Unit 8 EcologyName

8.3.ATwo patterns of growth

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  1. 1
  2. 2
  3. 3
  4. 4

8.3.AA worked example

A population of 500 mice has a per capita growth rate r of 0.10 per month, with no limits. Its growth rate is dN/dt = rN = 0.10 × 500 = mice per month. If the same population lives where the carrying capacity K is 1000, dN/dt = 0.10 × 500 × (1000 − 500) / 1000 = 25 mice per month. The growth rate under limits is , and it falls to zero when the population reaches K.

8.3.AGrowth models

ExponentialLogistic
Rate of changedN/dt = r NdN/dt = r N (K − N) / K
ShapeJ-shaped; the growth rate increasesS-shaped; the rate falls as N nears K
Whenresources are unlimitedresources are
Growth stops atit does not stop
Topic 8.3Population Ecology

8.3.ASurvivorship curves

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  1. 1
  2. 2
  3. 3
  4. 4

8.3.APatterns of survival

A survivorship curve plots how many of a group of births are still alive at each age. Humans and other large mammals that care for their young have a curve, with most dying in old age. Species with a constant chance of dying, such as many birds, show a type II curve. A type III curve, with huge numbers of offspring that mostly die young, is shown by oysters and most plants.

Word bank 50agecarrying capacityexponential growthKlimitedlogistic growthlowertimetype Itype IItype III

Answer key

Every box on the sheet with its gaps filled in, as the subtopic reads in full.

  1. LabelTwo patterns of growth

    1. exponential growth
    2. logistic growth
    3. carrying capacity
    4. time

  2. LabelSurvivorship curves

    1. type I
    2. type II
    3. type III
    4. age

  3. TableGrowth models

    ExponentialLogistic
    Rate of changedN/dt = r NdN/dt = r N (K − N) / K
    ShapeJ-shaped; the growth rate increasesS-shaped; the rate falls as N nears K
    Whenresources are unlimitedresources are limited
    Growth stops atit does not stopK

  4. GapsA worked example

    A population of 500 mice has a per capita growth rate r of 0.10 per month, with no limits. Its growth rate is dN/dt = rN = 0.10 × 500 = 50 mice per month. If the same population lives where the carrying capacity K is 1000, dN/dt = 0.10 × 500 × (1000 − 500) / 1000 = 25 mice per month. The growth rate under limits is lower, and it falls to zero when the population reaches K.

  5. GapsPatterns of survival

    A survivorship curve plots how many of a group of births are still alive at each age. Humans and other large mammals that care for their young have a type I curve, with most dying in old age. Species with a constant chance of dying, such as many birds, show a type II curve. A type III curve, with huge numbers of offspring that mostly die young, is shown by oysters and most plants.