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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.
2 attributes
Mobility
Based on movements of these
organisms
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.
3 types uniform
clumped
random
 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
Floods
Hurricanes
Unseasonable
Weather
Fire
Clear Cutting
Pesticide Spraying
Density Dependant
Competition for
Resources
Predation
Parasitism
Infectious Disease
 Demography is the study of the vital
statistics of a population and how they
change over time
 Two statistics that are of particular import
are a population's age structure and a
population's sex ratio.
 It is 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.
2 types of pop growth
Exponential
population growth
dN = rmaxN
dt
Logistic population
growth
dN = rmaxN (K-N)
dt K
Population Growth
Mathematically
Defined
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.
 Continuous population 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
 Carrying capacity (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
Logistic growth curve
Environmental limits
result in logistic
growth
Carrying capacity
New or changed
environment
No limits
 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
populationecology-120221024008-phpapp02.pdf
populationecology-120221024008-phpapp02.pdf

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populationecology-120221024008-phpapp02.pdf

  • 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. 2 attributes Mobility Based on movements of these organisms 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. 3 types uniform clumped random
  • 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 Floods Hurricanes Unseasonable Weather Fire Clear Cutting Pesticide Spraying Density Dependant Competition for Resources Predation Parasitism Infectious Disease
  • 26.  Demography is the study of the vital statistics of a population and how they change over time  Two statistics that are of particular import are a population's age structure and a population's sex ratio.
  • 27.  It is 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. 2 types of pop growth Exponential population growth dN = rmaxN dt Logistic population growth dN = rmaxN (K-N) dt K Population Growth Mathematically Defined
  • 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.  Continuous population 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  Carrying capacity (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. Logistic growth curve Environmental limits result in logistic growth Carrying capacity New or changed environment No limits
  • 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