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Population Ecology

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Title: Population Ecology


1
Chapter 52
  • Population Ecology

2
Population Ecology
  • Population ecology is the study of the
    populations and their interactions with the
    environment.
  • It also explores how the environment influences
    these populations in terms of size, age
    structure, and distribution.

3
Population Ecology
  • Ecologists usually begin an investigation of a
    population by defining appropriate parameters
    such as density and dispersion.

4
Density
  • How many individuals live within a given area.
  • To determine the density of individuals, it is
    possible to count all of the organisms within a
    given area, but it is not likely.

5
Dispersion
  • Dispersion is the spacing patterns among
    individuals within the boundaries of a population.

6
Sampling Techniques
  • Usually a wide variety of them are used.
  • Scientists can count all individuals in a given
    area.
  • They can do this in a number of different spots.
  • Then, average all of the numbers together to make
    educated estimates about the population density.

7
Sampling Techniques
  • Scientists also employ the mark and recapture
    method.
  • Animals are captured, marked, and released.
  • The animals can then be tracked or captured at a
    later date.
  • Density and distribution can be studied.

8
Sampling Techniques
  • These methods are okay, but sometimes the data
    becomes unreliable because the organisms you are
    studying behave differently during study.

9
Population Density
  • The density is always changing.
  • Birth, death, immigration, and emigration are
    ways a population changes.

10
Dispersal Patterns
  • There are varying dispersal patterns of organisms
    within a populations geographic range.
  • These variations in local populations are
    extremely important to ecologists.

11
Three Common Patterns of Dispersal
  • 1. Clumped
  • 2. Uniform
  • 3. Random

12
1. Clumpled
  • 1. Organisms are in uniform patches

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14
2. Uniform
  • Organisms are evenly spaced.

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16
3. Random
  • Organisms exhibit unpredictable spacing patterns.
    They could be grouped together, or there could
    be an uneven distribution pattern.

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18
Demography
  • Demography is the study of the vital
    characteristics of a population.
  • For example
  • Ecological needs
  • Spacing of individuals
  • Interactions of individuals within a population.

19
Demographers
  • These are people who study populations.
  • They develop life tables to determine the
    survival pattern of a population.
  • The use a cohort--a group of individuals of the
    same age that are followed from birth to death.

20
Life Tables
  • These are difficult to build and maintain.
  • It is easier to graphically depict a life
    table--a survivorship curve.

21
Survivorship Curves
  • These typically involve 1000 individuals from a
    population.
  • The numbers are obtained by multiplying the
    surviving population by 1000 each year.
  • Plotting these numbers vs. age indicates the
    death rate (or life expectancy).

22
Survivorship Curves
  • There are three types of survivorship curves
  • 1. Type I
  • 2. Type II
  • 3. Type III

23
1. Type I
  • Type I curves start flat indicating a low death
    rate for early and middle life.
  • They decline sharply as individuals get older
    indicating a high death rate.

24
2. Type II
  • Type II curves exhibit relatively constant death
    rates from birth to death.

25
3. Type III
  • Type III curves see death rates very high in the
    beginning but as the animals grow and mature the
    death rates level off.
  • Example animals that produce many young and
    provide little or no care for them.

26
Life Histories
  • Life histories are products of natural selection.
  • The traits that affect an organisms schedule of
    reproduction and survival comprise its life
    history.

27
Life Histories
  • There are three basic variables that life
    histories entail
  • 1. When reproduction begins.
  • 2. How often the organism reproduces.
  • 3. How many offspring are produced during a
    reproductive cycle.
  • For the most part, life histories are the product
    of evolutionary outcomes because most animals
    dont choose when to reproduce.

28
Reproductive Modes
  • In general, there are 2 reproductive modes that
    are followed
  • 1. Big bang reproduction--semelparity.
  • 2. Repeated reproduction--iteroparity.

29
Reproductive Modes
  • The evolutionary events that favor these are
    determined by the environment.

30
Semelparity
  • This is a one and done scheme for reproduction.
  • The organism takes a big chance.
  • Favored when the survival rate of the offspring
    is low.
  • Occurs when an organism lives in a highly
    variable or highly unpredictable environment.
  • Examples
  • Salmon and agave plants.

31
Iteroparity
  • This is repeated reproduction. Organisms
    continually give rise to offspring throughout
    their lives.
  • Iteroparity is favored when environments are more
    stable.

32
Energy Constraints
  • Time, energy, and nutrients cannot be used for
    one thing as well as something else.
  • This is the tradeoff that prevents producing a
    large number of offspring very frequently.

33
Population Growth
  • Unchecked population growth is considered
    exponential.
  • There are mechanisms that prevent exponential
    population growth.
  • This can be estimated using mathematical
    equations to describe the per capita growth rate.

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Population Growth
  • It essentially boils down to the rate being equal
    to the number of births minus the number of
    deaths.
  • r b-m
  • rgt0 the population is increasing
  • rlt0 the population is decreasing
  • r0 no change

36
Population Growth
  • Because resources are limited populations cannot
    grow exponentially forever.
  • Ecologists try to identify the carrying capacity
    of an environment, K.
  • K is the maximum population size an environment
    can support.

37
Population Growth
  • To account for changes in the environment,
    scientists have created a logistic growth model
    to explain how populations vary in size.

38
Population Growth
  • The exponential growth model is used as a
    starting point.
  • We add information about the environment that
    acts to reduce the per capita rate of increase.
  • If K is the maximum, K-N is the number of
    individuals the environment can accommodate.
  • N is the population size.

39
Population Growth
  • (K-N)/K is the fraction of the carrying capacity
    available for population growth.
  • Multiplying by the maximum rate of increase of
    the population, rmax, allows us to modify the
    growth rate of the population as its size
    increases.
  • rmax N (K-N)/K

40
Population Growth
  • When N K, the population stops growing.
  • The logistic model will produce an S-shaped
    (sigmoid) growth curve when population size is
    plotted over time.

41
Population Growth
  • New individuals are added at the highest rate at
    intermediate population sizes.
  • This is when the breeding population is of
    substantial size and space and resources are
    abundant.
  • As N approaches K, the population size slows.

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44
Population Growth
  • The logistic model.
  • This incorporates the idea that every individual
    added to the population has the same negative
    effect on population growth.
  • This is not true.

45
Population Growth
  • Certain populations exhibit the Allee effect.
  • This describes a situation where individuals may
    have a difficult time surviving and reproducing
    when the population gets too small.
  • The logistic model fits few, if any, real
    populations.
  • It serves as a good starting point.

46
Population Growth
  • There are two general questions that are asked
    when studying population growth
  • 1. What environmental factors stop a population
    from growing?
  • 2. Why do some populations show radical size
    fluctuations while others stay stable?

47
Population Growth
  • To understand the answers to these questions, we
    have to
  • Examine the birth and death rates
  • Immigration and emigration
  • How these factors affect population density.

48
Population Growth
  • If immigration and emigration are equal, then
    birth and death rates will affect population size.

49
Population Growth
  • A birth rate or death rate that does not change
    with population density is said to be density
    independent.
  • A death rate that rises when population density
    rises is said to be density dependent--an example
    of negative feedback--it halts population growth.

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51
Population Growth
  • 1. What environmental factors stop a population
    from growing?
  • 1. Competition for resources
  • 2. Territoriality
  • 3. Health
  • 4. Predation
  • 5. Toxic waste
  • 6. Intrinsic Factors

52
1. Competition for Resources
  • This occurs when population density increases and
    organisms compete for resources.
  • This results in a reduction in the number of
    offspring an individual produces.

53
2. Territoriality
  • Territory is a resource and when available space
    is limited, population density decreases because
    reproduction is limited.

54
3. Health
  • When population density is high, transmission of
    disease is easier and more likely.
  • If more of the population contracts the disease
    and dies, the population density will decrease.

55
4. Predation
  • In terms of predation, as the amount of prey
    increases, the predator eats more and the prey
    population declines.

56
5. Toxic Waste
  • As levels of toxic wastes increases (waste that
    is toxic to the organism), the size of the
    population decreases.

57
6. Intrinsic Factors
  • There are intrinsic factors tied to the behavior
    of organisms that result in a change in behavior
    that alters reproduction rates.
  • Examples include aggressive behavior and hormonal
    changes.

58
Population Growth
  • The second major question
  • 2. Why do some populations show radical size
    fluctuations while others stay stable?
  • To understand population stability, researchers
    often look at population dynamics and how numbers
    vary from year to year.

59
Population Growth
  • Population dynamics focuses on the interactions
    between biotic and abiotic features that cause
    population sizes to vary.

60
Population Growth
  • For instance, stability and fluctuation are
    governed by complex interactions with the
    environment.
  • For example the moose population fluctuates due
    to harsh winters, lots of snow, predation by
    wolves, disease, and parasites.

61
Population Growth
  • All populations go through cyclic fluctuations in
    size.
  • Some cycles are very short, others are longer.
  • A famous example is that of the 10 year cycle of
    the snowshoe hare and the lynx.

62
Population Cycles
  • Lynx are specialist predators, they feed on hares
    so their populations rise and fall with the hare.

63
Population Cycles
  • There are three hypotheses have been proposed to
    describe the 10-year cycle of these populations
  • 1. The cycles may be caused by a shortage of
    food in the winter.
  • 2. The cycles may be due to predator-prey
    interactions.
  • 3. The cycles may be a combination of the two.

64
Hypothesis 1
  • This hypothesis has been discarded because for
    over 20 years researchers have studied the
    population dynamics.
  • Adding food to the environment increased the
    numbers of hares, and the population still
    followed the natural fluctuations.

65
Hypothesis 2 3
  • These two hypotheses are supported because
    experiments have revealed that nearly all hares
    were killed by predators and none died of
    starvation.
  • Also, when predators were eliminated, food was an
    added factor, especially in the winter.

66
Another Factor
  • Another factor contributing to the crash of the
    predators is that when food becomes scarce, lynx
    often turn on themselves.
  • This shows that this cycle is not just a
    hare-lynx cycle.
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