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54 Fluctuations in Population Densities • Exponential growth can be represented mathematically: N/t = (b – d)N N = the change in number of individuals t = the change in time • b = the average per capita birth rate (includes immigrations) • d = the average per capita death rate (includes emigrations)

54 Fluctuations in Population Densities Exponential growth can be represented mathematically: N/ t = (b – d)N N = the change in number of individuals

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Page 1: 54 Fluctuations in Population Densities Exponential growth can be represented mathematically:  N/  t = (b – d)N  N = the change in number of individuals

54 Fluctuations in Population Densities

• Exponential growth can be represented mathematically:

N/t = (b – d)N

• N = the change in number of individuals

• t = the change in time

• b = the average per capita birth rate (includes immigrations)

• d = the average per capita death rate (includes emigrations)

Page 2: 54 Fluctuations in Population Densities Exponential growth can be represented mathematically:  N/  t = (b – d)N  N = the change in number of individuals

54 Fluctuations in Population Densities

• The difference between per capita birth rate (b) and per capita death rate (d) is the net reproductive rate (r).

• When conditions are optimal, r is at its highest value (rmax), called the intrinsic rate of increase.

• rmax is characteristic for a species.

• The equation for population growth can be written

/t = rmaxN

Page 3: 54 Fluctuations in Population Densities Exponential growth can be represented mathematically:  N/  t = (b – d)N  N = the change in number of individuals

54 Fluctuations in Population Densities

• Real populations do not grow exponentially for long because of environmental limitations.

• Environmental limitations include food, nest sites, shelter, disease, and predation.

• The carrying capacity of an environment (K) is the maximum number of individuals of a species it can support.

Page 4: 54 Fluctuations in Population Densities Exponential growth can be represented mathematically:  N/  t = (b – d)N  N = the change in number of individuals

Figure 54.7 Logistic Population Growth

Page 5: 54 Fluctuations in Population Densities Exponential growth can be represented mathematically:  N/  t = (b – d)N  N = the change in number of individuals

54 Fluctuations in Population Densities

• The mathematical representation of this type of growth (logistic growth) is:

N/t = r[(K – N)/K]N

• The equation for logistic growth indicates that the population’s growth slows as it approaches its carrying capacity (K).

• Population growth stops when N = K.

Page 6: 54 Fluctuations in Population Densities Exponential growth can be represented mathematically:  N/  t = (b – d)N  N = the change in number of individuals

54 Fluctuations in Population Densities

• Per capita birth and death rates usually fluctuate in response to population density; that is, they are density-dependent.

Competition for resources Easier for disease to spread.

• Factors that affect birth and death rates in a population independent of its density are said to be density-independent.

• For example, a severely cold winter may kill large numbers of a population regardless of its density.

Page 7: 54 Fluctuations in Population Densities Exponential growth can be represented mathematically:  N/  t = (b – d)N  N = the change in number of individuals

Figure 54.9 Population Sizes May Be Stable or Highly Variable

Page 8: 54 Fluctuations in Population Densities Exponential growth can be represented mathematically:  N/  t = (b – d)N  N = the change in number of individuals

54 Population Fluctuations

• Densities of populations that depend on limited resources fluctuate more than those that use a greater variety of resources.

• Why does this make sense?

Page 9: 54 Fluctuations in Population Densities Exponential growth can be represented mathematically:  N/  t = (b – d)N  N = the change in number of individuals

54 Population Fluctuations

• Predator–prey interactions generate fluctuations because predator population growth lags behind growth in prey and the two populations oscillate.

Lynx-Hare activity.

• Experiments with Canada lynx and snowshoe hares revealed that the oscillating cycle of their populations was driven by both predation and food supply for the hares.

Page 10: 54 Fluctuations in Population Densities Exponential growth can be represented mathematically:  N/  t = (b – d)N  N = the change in number of individuals

Figure 54.11 Hare and Lynx Populations Cycle in Nature (Part 1)

Page 11: 54 Fluctuations in Population Densities Exponential growth can be represented mathematically:  N/  t = (b – d)N  N = the change in number of individuals

54 Managing Populations

• A general principle of population dynamics is that the total number of births and the growth rates of individuals tend to be highest when a population is well below its carrying capacity.

• If we wish to maximize the number of individuals that can be harvested from a population, that population should be managed so that its population is far below its carrying capacity.

• Hunting seasons are established with this objective in mind.

Page 12: 54 Fluctuations in Population Densities Exponential growth can be represented mathematically:  N/  t = (b – d)N  N = the change in number of individuals

54 Managing Populations

• Populations with high reproductive capacities can sustain their growth despite a high rate of harvest.

• Fish are an example of a population with high reproductive capacity.

High number of eggs produced by each.

Page 13: 54 Fluctuations in Population Densities Exponential growth can be represented mathematically:  N/  t = (b – d)N  N = the change in number of individuals

54 Managing Populations

• The whaling industry engaged in excessive harvests that almost caused the extinction of blue whales.

• Management of whale populations is difficult because they reproduce at a low rate.

• Since whales are distributed worldwide, their management is dependent on cooperative action by all whaling nations (which is difficult to achieve).

Page 14: 54 Fluctuations in Population Densities Exponential growth can be represented mathematically:  N/  t = (b – d)N  N = the change in number of individuals

54 Managing Populations

• To reduce the size of populations of undesirable species, removal of resources is more effective than large-scale killing.

• By removing resources, the species will have a reduced carrying capacity and therefore lower numbers.

• Killing large numbers of the species would simply reduce them to a population size that grows more rapidly to reach its carrying capacity.

• Conversely, if a rare species is to be preserved, the most important step usually is to provide it with suitable habitat.

Page 15: 54 Fluctuations in Population Densities Exponential growth can be represented mathematically:  N/  t = (b – d)N  N = the change in number of individuals

54 Managing Populations

• Humans have introduced many species to new habitats outside their native ranges.

Rabbits in Austrailia Opuntia cactus in Austrailia.

Page 16: 54 Fluctuations in Population Densities Exponential growth can be represented mathematically:  N/  t = (b – d)N  N = the change in number of individuals

Figure 54.19 Biological Control of a Pest

Page 17: 54 Fluctuations in Population Densities Exponential growth can be represented mathematically:  N/  t = (b – d)N  N = the change in number of individuals

54 Managing Populations

• For many thousands of years, Earth’s carrying capacity for humans was set at a low level by food and water supplies and by disease.

• What caused the increase? Medicine Agriculture Others

• Earth’s carrying capacity is currently limited by: “Waste” removal Willingness to destroy other species.

Page 18: 54 Fluctuations in Population Densities Exponential growth can be represented mathematically:  N/  t = (b – d)N  N = the change in number of individuals

Figure 54.20 Human Population Growth