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 Population   ecology is the study of
 populations in relation to the environment. It
 includes    environmental     influences    on
 population density and distribution, age
 structure, and variations in population size.
 Population size
 Population density
 Dispersion
  patterns
 Demographics
 Survivorship curves
 Population growth
 “In     population genetics and population
     ecology, population size (usually denoted N)
     is the number of individual organisms in a
     population”.

 Factors     that Govern Population
     Size
1.    Crude Birth Rate (CBR)
2.    Crude Death Rate (CDR)
3.    Immigration
4.    Emigration
Natality
 The birthrate, which is the ratio of total live
  births to total population in a particular area
  over a specified period of time
Mortality
 The death rate, which is also the ratio of the
  total number of deaths to the total population.
Immigration
 The number of organisms moving into area
  occupied by the population is              called
  immigration.
Emigration
 The number of organisms moving out of the area
  occupied by the population is called emigration.
 Factors   that increase population size
1.   Natality is recruitment to a population
     through reproduction.
2.   Immigration from external populations e.g.
     Bird migration.

 Factor   reducing population size
1.   Mortality which is the death rate from any
     source e.g. predation.
2.   Emigration, where individuals leave the
     population for another habitat.
 Population   Change = (births +
 immigration) – (deaths + emigration)




 Parameters that effect size or density of a
                population
 “Population  density is a measurement of
  the number of people in an area. It is an
  average number”.
 It is usually shown as the number of
  people per square kilometer.


Density    = Population/ Area
1.   How to quantify nature – ecologist
     role
2.   Estimates     are   allows     for
     comparisons between different
     populations in terms of space and
     time measure.
Mobility

  Based on movements of these
           organisms




     2 attributes



              Size

Small animals/plants are usually
  more abundant than large
        animals/plants
 Density   is measured by two methods.


1.   Total count method
2.   Sampling method
 Direct counting of populations.
 Possible for few animals.
 Breeding colonies can be photographed then
  later counted.

Examples
 Human   pop census
 Trees in a given area
 Depends   on the type of organism and its
  natural abundance and distribution.
 Two broad categories:



1.   Plot-based (quadrant) methods
2.   Capture-based methods
 Widely   used   in   plant
 studies

 Total   population     =
 Average    number     per
 quadrat × Total area/Area
 of quadrat
 Used     for   very
 mobile    or elusive
 species

 First
      used in the
 1890s by C. G.
 Peterson to
 estimate fish
 abundance.
   The dispersion of a population is the pattern of
    spacing   among      individuals   within   the
    geographic boundaries.


                         random




     clumped             3 types             uniform
 Clumped  is a pattern when individuals are
  aggregated in patches.
 Most frequent pattern of distribution in a
  population
Reasons:
 Some  area of habitat are more suitable than
  others
 Heterogeneous environment with resources
  concentrated in patches
 Tendency of offspring to remain with parents
 Mating or social behavior of the individuals
 Evenly    spaced distributions, in which
  members of the population maintain a
  minimum distance from one another.
 In plants due to competition for water,
  sunlight, or available nutrients
Example
Creosote bushes in the Mojave desert

 In   animals due to strong territoriality
Example
The desert lizard Uta sp
 It is a spacing pattern based on total
  unpredictability.
 Least common pattern of distribution


Reasons
 Members   of a species do not frequently
  interact with one another
 Not     heavily     influenced    by   the
  microenvironments within their habitat
Density Independent Density Dependant

 Floods                Competition   for
 Hurricanes             Resources
 Unseasonable          Predation
  Weather               Parasitism
 Fire                  Infectious Disease
 Clear Cutting
 Pesticide Spraying
 Demography   is the study of the vital
 statistics of a population and how they
 change over time

 Twostatistics that are of particular import
 are a population's age structure and a
 population's sex ratio.
 Itis the ratio of males to females in a
  population.


 Primary  sex ratio
 Secondary sex ratio
 Tertiary sex ratio

 The  human sex ratio is of particular interest
  to anthropologists and demographers.
 The age structure describes the number of
 individuals in each age class as a ratio of one
 class to another.

 Age classes can be specific categories, such
 as people in the same age range.
 Age  structure diagram
 Graphical illustration that shows the
  distribution of various age groups & sex ratio
  in a population.
 Three age categories:



1.   Prereproductive (ages 0-14)
2.   Reproductive (ages 15-44)
3.   Postreproductive (ages 45 and up)
A  life table (mortality table ) is a table which
  shows, for each age, what the probability is
  that a person of that age will die before his or
  her next birthday.
 From this starting point, a number of
  inferences can be derived.
1. The probability of surviving any particular
    year of age
2. Remaining life expectancy for people at
    different ages
 Separately for men and for women because of
  their substantially different mortality rates.
 Graph   showing the number or proportion of
  individuals surviving at each age for a given
  species or group (e.g. males/females).
 Constructed for a given cohort (a group of
  individuals of roughly the same age) based on
  a life table.
 Three types
1. Type I
2. Type II
3. Type III
 Type   I survivorship curves are characterized
  by high survival in early and middle life,
  followed a rapid decline in survivorship in
  later life.
Example: Humans
 Type II curves are an intermediate between
  Type I and III, where roughly constant
  mortality rate is experienced regardless of
  age.
Example: Some birds
 In Type III curves, the greatest mortality is
  experienced early on in life, with relatively
  low rates of death for those surviving this
  bottleneck.
Example: Octopus
 Refers
       to how the number of individuals in a
 population increases (or decreases) with
 time.

 Controlled  by the rate at which new
 individuals are added to the population -- the
 birth rate, and the rate at which individuals
 leave the population -- the death rate.
Exponential
                      population growth

                      dN = rmaxN
                      dt



                    2 types of pop growth




                     Logistic population
Population Growth    growth
Mathematically
Defined              dN = rmaxN (K-N)
                     dt          K
N=K/2
 If a population has a constant birth rate
  through time and is never limited by food or
  disease, it has what is known as exponential
  growth.

 With exponential growth the birth rate alone
  controls how fast (or slow) the population
  grows.
 Continuouspopulation growth in an unlimited
 environment can be modeled exponentially.


               dN / dt = rmax N
 As population size (N) increases, rate    of
 population increase (dN/dt) gets larger.
 For an exponentially growing population, size at
  any time can be calculated as:

                    Nt = Noert
 Nt = number individuals at time t.
 N0 = initial number of individuals.
 e = base of natural logarithms.
 r (rmax ) = per capita rate of increase.
 t = number of time intervals.
 As  resources are depleted, population growth
  rate slows and eventually stops: logistic
  population growth.
 Sigmoid (S-shaped) curve

 Carryingcapacity (K) is the number of individuals
 of a population the environment can support.

 Finite amount of resources can only support a
 finite number of individuals.
dN/dt = rmaxN(1-N/K)

 rmax= Maximum per capita rate of increase under
  ideal conditions.
 When N nears K, the right side of the equation
  nears zero.
 As population size increases, logistic growth rate
  becomes a small fraction of growth rate.
 Highest   when N=K/2
Carrying capacity          Environmental limits
                                      result in logistic
                                          growth




       No limits



New or changed
 environment
                             Logistic growth curve
 Environment       limits population growth by
    altering birth and death rates.
   Density-dependent factors
        Disease, Parasites, Resource Competition
            Populations do not show continuous geometric increase
            When density increases other organisms reduces the fertility
             and longevity of the individuals in the population
            This reduces the rate of increase of the pop until eventually the
             pop ceases to grow
            The growth curve is defined as the sigmoid curve, S – shaped
            K = carrying capacity (upper asymptote or maximum value) – the
             maximum number of individuals that environment can support
   Density-independent factors
          Natural disasters
          Climate
K and r selection           (MacArthur and Wilson 1967)

r-selected species
•r refers to the per capita rate of
increase
•Selection favoring rapid growth
•Should be favored in new or disturbed
environments
•Less competition


K-selected species
•K refers to carrying capacity
•More prominent in species that are
typically at their carrying capacity
•Favors more efficient use of resources
•Live with competition
   The history of human population growth




                                             Figure 35.8A
Population Ecology: Factors That Govern Population Size and Growth
Population Ecology: Factors That Govern Population Size and Growth

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Population Ecology: Factors That Govern Population Size and Growth

  • 1.
  • 2.  Population ecology is the study of populations in relation to the environment. It includes environmental influences on population density and distribution, age structure, and variations in population size.
  • 3.  Population size  Population density  Dispersion patterns  Demographics  Survivorship curves  Population growth
  • 4.  “In population genetics and population ecology, population size (usually denoted N) is the number of individual organisms in a population”.  Factors that Govern Population Size 1. Crude Birth Rate (CBR) 2. Crude Death Rate (CDR) 3. Immigration 4. Emigration
  • 5. Natality  The birthrate, which is the ratio of total live births to total population in a particular area over a specified period of time Mortality  The death rate, which is also the ratio of the total number of deaths to the total population. Immigration  The number of organisms moving into area occupied by the population is called immigration. Emigration  The number of organisms moving out of the area occupied by the population is called emigration.
  • 6.  Factors that increase population size 1. Natality is recruitment to a population through reproduction. 2. Immigration from external populations e.g. Bird migration.  Factor reducing population size 1. Mortality which is the death rate from any source e.g. predation. 2. Emigration, where individuals leave the population for another habitat.
  • 7.
  • 8.  Population Change = (births + immigration) – (deaths + emigration) Parameters that effect size or density of a population
  • 9.  “Population density is a measurement of the number of people in an area. It is an average number”.  It is usually shown as the number of people per square kilometer. Density = Population/ Area
  • 10.
  • 11. 1. How to quantify nature – ecologist role 2. Estimates are allows for comparisons between different populations in terms of space and time measure.
  • 12. Mobility Based on movements of these organisms 2 attributes Size Small animals/plants are usually more abundant than large animals/plants
  • 13.  Density is measured by two methods. 1. Total count method 2. Sampling method
  • 14.  Direct counting of populations.  Possible for few animals.  Breeding colonies can be photographed then later counted. Examples  Human pop census  Trees in a given area
  • 15.  Depends on the type of organism and its natural abundance and distribution.  Two broad categories: 1. Plot-based (quadrant) methods 2. Capture-based methods
  • 16.  Widely used in plant studies  Total population = Average number per quadrat × Total area/Area of quadrat
  • 17.  Used for very mobile or elusive species  First used in the 1890s by C. G. Peterson to estimate fish abundance.
  • 18. The dispersion of a population is the pattern of spacing among individuals within the geographic boundaries. random clumped 3 types uniform
  • 19.  Clumped is a pattern when individuals are aggregated in patches.  Most frequent pattern of distribution in a population Reasons:  Some area of habitat are more suitable than others  Heterogeneous environment with resources concentrated in patches  Tendency of offspring to remain with parents  Mating or social behavior of the individuals
  • 20.
  • 21.  Evenly spaced distributions, in which members of the population maintain a minimum distance from one another.  In plants due to competition for water, sunlight, or available nutrients Example Creosote bushes in the Mojave desert  In animals due to strong territoriality Example The desert lizard Uta sp
  • 22.
  • 23.  It is a spacing pattern based on total unpredictability.  Least common pattern of distribution Reasons  Members of a species do not frequently interact with one another  Not heavily influenced by the microenvironments within their habitat
  • 24.
  • 25. Density Independent Density Dependant  Floods  Competition for  Hurricanes Resources  Unseasonable  Predation Weather  Parasitism  Fire  Infectious Disease  Clear Cutting  Pesticide Spraying
  • 26.  Demography is the study of the vital statistics of a population and how they change over time  Twostatistics that are of particular import are a population's age structure and a population's sex ratio.
  • 27.  Itis the ratio of males to females in a population.  Primary sex ratio  Secondary sex ratio  Tertiary sex ratio  The human sex ratio is of particular interest to anthropologists and demographers.
  • 28.  The age structure describes the number of individuals in each age class as a ratio of one class to another.  Age classes can be specific categories, such as people in the same age range.
  • 29.  Age structure diagram  Graphical illustration that shows the distribution of various age groups & sex ratio in a population.  Three age categories: 1. Prereproductive (ages 0-14) 2. Reproductive (ages 15-44) 3. Postreproductive (ages 45 and up)
  • 30.
  • 31. A life table (mortality table ) is a table which shows, for each age, what the probability is that a person of that age will die before his or her next birthday.  From this starting point, a number of inferences can be derived. 1. The probability of surviving any particular year of age 2. Remaining life expectancy for people at different ages  Separately for men and for women because of their substantially different mortality rates.
  • 32.
  • 33.  Graph showing the number or proportion of individuals surviving at each age for a given species or group (e.g. males/females).  Constructed for a given cohort (a group of individuals of roughly the same age) based on a life table.  Three types 1. Type I 2. Type II 3. Type III
  • 34.
  • 35.  Type I survivorship curves are characterized by high survival in early and middle life, followed a rapid decline in survivorship in later life. Example: Humans  Type II curves are an intermediate between Type I and III, where roughly constant mortality rate is experienced regardless of age. Example: Some birds  In Type III curves, the greatest mortality is experienced early on in life, with relatively low rates of death for those surviving this bottleneck. Example: Octopus
  • 36.  Refers to how the number of individuals in a population increases (or decreases) with time.  Controlled by the rate at which new individuals are added to the population -- the birth rate, and the rate at which individuals leave the population -- the death rate.
  • 37. Exponential population growth dN = rmaxN dt 2 types of pop growth Logistic population Population Growth growth Mathematically Defined dN = rmaxN (K-N) dt K
  • 38. N=K/2
  • 39.  If a population has a constant birth rate through time and is never limited by food or disease, it has what is known as exponential growth.  With exponential growth the birth rate alone controls how fast (or slow) the population grows.
  • 40.  Continuouspopulation growth in an unlimited environment can be modeled exponentially. dN / dt = rmax N  As population size (N) increases, rate of population increase (dN/dt) gets larger.
  • 41.  For an exponentially growing population, size at any time can be calculated as: Nt = Noert  Nt = number individuals at time t.  N0 = initial number of individuals.  e = base of natural logarithms.  r (rmax ) = per capita rate of increase.  t = number of time intervals.
  • 42.
  • 43.
  • 44.  As resources are depleted, population growth rate slows and eventually stops: logistic population growth.  Sigmoid (S-shaped) curve  Carryingcapacity (K) is the number of individuals of a population the environment can support.  Finite amount of resources can only support a finite number of individuals.
  • 45. dN/dt = rmaxN(1-N/K)  rmax= Maximum per capita rate of increase under ideal conditions.  When N nears K, the right side of the equation nears zero.  As population size increases, logistic growth rate becomes a small fraction of growth rate.  Highest when N=K/2
  • 46.
  • 47. Carrying capacity Environmental limits result in logistic growth No limits New or changed environment Logistic growth curve
  • 48.
  • 49.  Environment limits population growth by altering birth and death rates.  Density-dependent factors  Disease, Parasites, Resource Competition  Populations do not show continuous geometric increase  When density increases other organisms reduces the fertility and longevity of the individuals in the population  This reduces the rate of increase of the pop until eventually the pop ceases to grow  The growth curve is defined as the sigmoid curve, S – shaped  K = carrying capacity (upper asymptote or maximum value) – the maximum number of individuals that environment can support  Density-independent factors  Natural disasters  Climate
  • 50. K and r selection (MacArthur and Wilson 1967) r-selected species •r refers to the per capita rate of increase •Selection favoring rapid growth •Should be favored in new or disturbed environments •Less competition K-selected species •K refers to carrying capacity •More prominent in species that are typically at their carrying capacity •Favors more efficient use of resources •Live with competition
  • 51.
  • 52.
  • 53. The history of human population growth Figure 35.8A