Populations:
Population Ecology
EVPP 110 Lecture
Instructor: Dr. Largen Fall 2003
Population ecology
- Population
- definition
- major characteristics
- dynamics
- life histories
Population definition
- Population
- definition
- group of individuals of a species living in same area at same time
- using common resources
- regulated by same natural phenomena
- flexible
- allows discourse in similar terms about any population
Population characteristics
- Populations
- major characteristics
- size
- density
- dispersion
- age distribution
- Population size
- definition
- number of individuals
- important feature of any population
- affects ability of population to survive
- small populations tend to become extinct
- endangered by random events
- inbreeding
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- Population density
- definition
- number of individuals in a certain area or volume
- # trees per km2 of forest
- # earthworms per m3 of soil
- important to survival of population
- individuals spaced widely apart may rarely encounter one another
- limits reproductive capacities
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- how is population density measured?
- impossible or impractical to count all individuals in a population
- use sampling techniques
- sampling technique
- method to estimate population density
- direct count of organisms or indicators in small area or volume
- used to project actual density over entire area or volume
- examples
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- Population dispersion
- way in which individuals of a population are spaced within their area or volume
- often depends on resource availability
- spatial pattern
- three main patterns of dispersion
- clumped
- individuals clump into groups or clusters
- often in response to uneven distribution of resources
- most common pattern in nature
- uniform
- individuals are uniformly or evenly spaced
- often results from interactions between individuals
- relatively common in nature
- random
- individuals spaced in a pattern-less, unpredictable way
- don’t interact strongly with
- one another
- non-uniform aspects of their environment
- not common in nature
- Population age distribution
- proportions of individuals of each age
- often based on
- non-reproductive ages
- reproductive ages
- post-reproductive ages
- Population dynamics
- variables governing changes in population size
- factors that affect population size
- population growth
- types of
- limits to
- populations are dynamic
- size increases or decreases in response to
- environmental stress
- changes in environmental conditions
- Variables governing change in population size
governed by 4 variables
births
deaths
immigration
emigration
populations
gain individuals by
lose individuals by
- population change=(births+immigrations - (deaths+emigration)
- Factors that affect size of population
population size may increase, remain stable, or decrease
depending on interactions between
- biotic potential
- growth factors
- environmental resistance
- decrease factors
- biotic potential
- "growth factors"
- capacity of a population for growth
- varies
- between populations
- within population over time
- factors that favor increase in size
- abiotic
- favorable light
- favorable temperature
- favorable chemical environment (optimal level of critical nutrients)
- biotic (such as)
- high reproductive rate
- generalist
- adequate food
- adequate defenses from predators
- resistance to diseases
"decrease factors"
all the factors acting jointly to limit growth of a population
- factors that lead to decrease in size
- abiotic
- too much, too little light
- temperature too high, too low
- unfavorable chemical environment (critical nutrients too high, too low)
- biotic (such as)
- low reproductive rate
- specialist
- inadequate food
- inadequate defenses from predators
- inability to resist diseases
biotic potential & environmental resistance
together determine
- carrying capacity (K)
- number of individuals of a given species that can be sustained indefinitely in a given area or volume
Types of population growth
- Two types of population growth
- exponential
- accelerating increase in population size
- occurs when growth is unregulated
- logistic
- population growth that is slowed by population-limiting factors
- tends to level off at a carrying capacity
- Exponential growth
- exhibited by a population that has few, if any, resource limitations
- starts out slowly, speeds up as population increases
- rate of expansion that occurs under ideal conditions
- entire population multiplies by a constant factor during constant time intervals
- described by equation G = rN
- G = growth rate of the population
- N = population size
- r = intrinsic rate of increase
- graph produces typical J-shaped curve
- r = intrinsic rate of increase
- rate at which a population would grow if it had unlimited resources
- remains constant for any population expanding without limits
- based on organism’s inherent capacity to reproduce
- can be roughly estimated as
- birth rate minus death rate
- r = b - d
- long periods of exponential growth are not common
- bacteria example
- no population can grow indefinitely
- eventually some factor(s) limit population growth
- rapidly growing population reaches size limit imposed by shortage of limiting factors
- there are always limits to population growth in nature
- Logistic growth
- growth, slowed by limiting factors
- involves
- exponential growth when pop. is small
- steady ¯
in growth with time as pop.
- encounters environmental resistance
- approaches carrying capacity
- equation must account for limiting factors
- exponential equation is modified by a term that represents overall effect of limiting factors
- (K - N)/K where K = carrying capacity
- effects of the modifying term
- (K - N)/K
- when population is small,
- (K - N)/K has little effect
- growth rate is reduced very little
- early logistic curve is very similar to J-shaped exponential curve
- for example, if N=10 and K=1000
- as population gets larger,
- (K - N)/K has greater effect
- growth rate is affected more (gets smaller)
- later logistic curve becomes S-shaped
- population levels off at "carrying capacity"
- limiting factors causes birth rate and death rate to be equal
- for example, N= 800 and K=1000
- after leveling off at carrying capacity (K)
- population typically fluctuates slightly above or below K
- Exponential and logistic growth models
- both are mathematical ideals
- no natural populations fit either model perfectly
Limits to population growth
- Population growth
- limited
by two general types of factors
- density-dependent factors
- limits to growth related to population density
density-independent factors
limits to growth not related to population density
- density-dependent factors
- affect a greater percentage of individuals in a population as density increases
- individuals compete with increasing intensity for limited resources
- such as
- food
- shelter
- light
- density-independent factors
- population-limiting affects that are independent of population density
- include abiotic factors
- weather
- physical disruption of habitat
- Population fluctuations
- occur in nature, over time
- four general types exist
- stable
- irruptive
- irregular
- cyclic
- most are poorly or incompletely understood
- stable
- population size fluctuates around carrying capacity
- slightly above
- slightly below
- typical of species in undisturbed tropical rainforests
- little variation in average temperature or rainfall
- irruptive
- population is normally fairly stable
- occasionally explodes (irrupts) to peak
- then crashes to
- stable lower level
- very low level
- due to factor (ie temp) that temporarily increases carrying capacity
- examples: raccoon, house mouse
- irregular
- irregular, chaotic behavior in population size
- no apparent recurring pattern
- may be due to
- chaos in system
- poorly understood interactions
fluctuations in size that occur over a regular time period
most are poorly understood
include predator-prey cycles
- predator-prey
cycles
- seen in some groups of species that interact as predator and prey
- characterized by
- sharp increases in numbers followed by
- seemingly periodic crashes
- classic example
- snowshoe hare, Canadian lynx
- explained by two hypotheses
- top-down control
- bottom-up control
- top-down control hypothesis
- lynx prey on hare
- reduces hare population
- fewer hares support fewer lynxes
- causes periodic reduction in lynx population
- lag-time, offset from hare reduction
- reduced numbers of predators (lynx) allows population of prey (hare) to recover and increase
- increased numbers of prey (hare) support increased numbers of predators and lynx population increases
- cycle continues
- doubt has been cast on this explanation
- snowshoe hares have been found to exhibit similar 10-year "boom-or-bust" cycles on islands where lynx are absent
- leading to 2nd hypothesis
- bottom-up control
- bottom-up control hypothesis
- rather than cycle being driven by predator at top
- might be driven by food source of prey (hare) at bottom
- reduction in quantity or quality of food source (plants) of hare leads to crash of hare population
- fewer hare support fewer predators and lynx population crashes
- reduction in hare population gives plant population time to recover
- increased plant population supports more hares and hare population increases
- increased hare population supports more lynx and lynx population increases
- cycle continues, driven by plant availability
- genuine examples of both top-down and bottom-up control exist in nature
- Survivorship and life history strategies
survivorship
life tables
survivorship curves
life history strategies
opportunisitc life history
equilibrial life history
percentage of an original population that survives to a given age
requires compilation of data (life table)
- for each defined age interval
- number living at start of interval
- number dying during interval
- from which can be calculated
- mortality (death rate)
- chance of surviving age interval
- Survivorship curves
- way to express age distribution characteristics of a population
- graph of life table data
- varies with species
- uses percentage scale instead of actual life span on horizontal axis
- allows comparison of species with different life spans on same graph
- three primary types of survivorship curves
- type I survivorship curve
- type II survivorship curve
- type III survivorship curve
- type I survivorship curve
- exhibited by population in which mortality rates rise steeply in post-reproductive years
- also known as "late loss" curve
- most individuals die in older age intervals
- species with this type curve
- produce few offspring & give them intense care to insure their survival
- examples
- humans, whales, elephants
- type II survivorship curve
- exhibited by population in which individuals are equally likely to die at any age
- also known as "constant loss" curve
- mortality is constant over life span
- intermediate to types I and III
- examples
- jellyfish
- hydra
- some rodents
- type III survivorship curve
exhibited by population in which individuals produce vast numbers of offspring
also known as "early loss" curve
only a small number of offspring survive to reproductive age
- survivors become established, reproductive, with low mortality rate
examples
oysters, some plants
Life History Strategies
- Life history
of an organism
- series of events from birth through reproduction to death
- life history strategies
influence growth rate of a population, including
- age of first reproduction
- number of offspring
- amount of parental care given to offspring
- energy cost of reproduction
- shaped by evolution
- operating through natural selection
- every population has a life history strategy adapted to its environment
- two main life history strategies
- opportunistic (r-selected)
- equilibrial (K-selected)
- Opportunistic (r-selected) life history
- put most of their energy into reproduction
- rather than long term survival of individuals
- are poor competitors
- considered opportunists
- take advantage of favorable conditions, changes in environment
- when favorable conditions are gone population may crash
- population go through irregular or unstable cycles
- characteristics
- organisms
- small-bodied
- reproduce when young
- produce many offspring
- provide little to no parental care of offspring
- most offspring die before reaching reproductive age
- populations
- tends to grow exponentially
- thus the name r-selected
- due to high intrinsic rate of growth
- live in unpredictable environments
- controlled by density-independent factors
- exhibit type III survivorship curve
- examples
- bacteria
- algae
- most annual plants
- most insects
- rodents
- oysters
- equilibrial (K-selected) life history
- put fairly little energy into reproduction
- put most energy into long term survival
- for purpose of being able to put lots of energy into nurturing and protecting offspring
- are good competitors
- are not considered opportunistic
- thrive best in ecosystems with fairly constant environmental conditions
- populations remain close to carrying capacity (K) over long periods of time
- characteristics
- organisms
- larger-bodied
- reproduce later in life
- produce fewer offspring
- provide high parental care
- most offspring survive to reproductive age
- populations
- size tends to be stable
- thus the name K-selected
- populations tends to stay near carrying capacity (K)
- live in predictable environments
- controlled by density-dependent factors
- exhibit type I survivorship curve
- examples
- humans
- large trees
- polar bears
- elephants
- Intermediate life history
- many organisms have life histories that fall between opportunistic and equilibrial
- exhibit type II survivorship curve
- examples
- many birds
- squirrels
- hydra
The End.