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AP BIOLOGY:
Chapter Twenty-Four Outline
INTRODUCTION
Ecology
The study of relationships of organisms with one another and the environment
Earth is straining to support its largest population of humans fig 24.1
A complex area of biology with important implications
Organisms Grouped in Progressively More Inclusive Levels of Organization
Community: populations of different organisms living together
Ecosystem: community plus its nonliving factors
Biome: major collections of land plants, animals and microorganisms
POPULATIONS
Definition: Individuals of a Given Species that Occur in One Place at One Time
Have Characteristic Features
Examples: size, density, dispersion and demography
Occupies particular place and plays particular role defined as its niche
POPULATION SIZE AND DISPERSION
Population Size Is an Important Feature
Indirectly relates to the ability of a given population to survive
Very small populations are more likely to become extinct
Inbreeding can be a negative factor
Lowers vigor by direct genetic effects
Produces reduced levels of variability
Extinction is more likely to occur in areas that change radically
Population Density Is Very Important
With wide spacing, individuals may only rarely interact
Related measure is dispersion: way in which individuals are arranged fig 24.2
Randomly spaced
Evenly spaced
Clumped
Clumped distributions are frequent in nature
Individuals tend to group within particular microhabitats
Microhabitats are not generally uniformly distributed
POPULATION GROWTH
Key Characteristic of a Population Is Its Capacity to Grow
Population numbers remain constant regardless of offspring produced
Unchecked, most populations would increase dramatically
Under some situations populations can increase rapidly fig 24.3
Must consider circumstances and factors that limit population growth
Biotic Potential
Intrinsic rate of natural increase
dN/dt = riN
N = number of individuals within a population
dN/dt = rate of change of population number over time
ri = intrinsic rate of growth for that population
Difficult value to calculate
Actual rate of population growth is more readily calculated figure
Difference between birth rate and death rate per given number of individuals
Actual rate of growth also affected by emigration and immigration
Innate capacity for growth is exponential, represented by growth curve
Rate of growth remains constant
Actual increase in numbers accelerates as population increases
Analogous to compounding interest on an investment
Such patterns of growth occur for only short periods
Carrying Capacity
Populations always reach a limit imposed by environmental shortages
Size for such stabilization is the carrying capacity
A dynamic rather than static value
Number of individuals fluctuates around a mean value
dN/dt = rN(K-N/K)
dN/dt = growth rate of the population
r = rate of increase
N = number of individuals present at any one time
K = carrying capacity
As a population grows in size, the rate of increase declines until N=K
Competition among individuals for resources increases
Build up of wastes
Increased ratio of predation
Relationship is an S-shaped sigmoid growth curve fig 24.4
As the population stabilizes its rate of growth slows down
Density-Dependent and Density-Independent Effects
Density-dependent effects
Depend on size of population, regulate its growth
Accompanied by hormonal changes that alter animal behavior fig 24.5
In general have an increasing effect as population increases
Density-independent effects
Operate regardless of the population size
Include factors such as weather and physical disruption of habitat
Agriculture depends on characteristics of a sigmoid growth curve
After an area has been cleared, populations grow rapidly
Very high net productivity
Commercial fisheries exploit populations in rapid growth phase
Harvest at the steep, rapidly growing part of the curve
Produces optimal yield, maximum sustainable catch from population
Over harvesting smaller population can destroy its productiveness
r strategists and K Strategists
Many species have fast rates of population growth
Not a sigmoid curve
Growth not effectively controlled by reductions in population size
Small populations quickly enter an exponential pattern of growth
Population reduction in slow-breeding organisms may cause extinction
Populations with sigmoid growth curves limited by carrying capacity (K)
Include relatively slow-breeding organisms
Tend to live in stable, predictable habitats
Called K strategists
Other species characterized by exponential growth and sudden crashes
Have high intrinsic rate of growth (r)
Called r strategists
Many organisms are not clearly delineated not pure r or k strategist
Have reproductive strategies between the two extremes
Change from one extreme to other with environmental conditions
Reproduction in r strategists
Reproduce early, have many offspring fig 24.6
Offspring are small, mature rapidly, receive little parental care
Generations are relatively short, large brood size
Examples: dandelions, aphids, mice, cockroaches
Reproduction in K strategists
Reproduce late, have small broods
Offspring are large, mature slowly, receive intensive parental care
Generations are relatively long
Examples: coconut palms, whooping cranes, whales
Many organisms in danger of extinction are K strategists
Human Populations
Like all other organisms, size is controlled by the environment
Humans have expanded populations by technical innovations
Early in history controlled by density-dependent and density-independent factors
Migration influences adjustment of human populations to particular areas
Changes in technology have fostered explosive population growth
MORTALITY AND SURVIVORSHIP
Intrinsic Rate of Increase Depends on Age and Reproductive Performance
Constant environment stabilizes a population`s age distribution
Distribution varies by species and regions
Sex distribution can also affect population growth statistics
Generation time also affects rate of growth
Survivorship Curves Express Characteristics of Populations fig 24.7
Survivorship: percentage of original population that survives to a given age
Mortality: rate of death
Types of survivorship curves
Type II
Straight curve
Individuals are likely to die at any age
Example: hydra
Type III
Produce vast numbers of offspring, few survive to reproduce
Once established mortality is low
Example: oysters
Type I
Relatively low mortality when young
High mortality in postreproductive years
Example: humans
Many animal and protist populations are between type II and III
Many plant populations are closer to type III
DEMOGRAPHY
Statistical Study of Populations
Measurement of people, therefore the characteristics of populations
Helps predict ways in which sizes of populations will alter the future
Accounts for age distribution and changing population size over time
Stable Population
Population with constant size through time
Birth + immigration = death + emigration
Age structure also remains constant
Population Pyramid fig 24.8
Graphical illustration of a population`s characteristics
Male and female counts on opposite sides of the vertical age axis
Shows population composition by age and sex
Can view historical trends of demographic events
Examples of human populations fig 24.9
Number of females disproportionately larger than males
Females generally have longer life expectancy
INTERSPECIFIC INTERACTIONS THAT LIMIT POPULATION SIZE
Competition: General
Interspecific competition
Interaction of individuals of different species
Use the same resource that is in short supply
Greatest between organisms that obtain food in same manner
Most intense between closely similar organisms
Intraspecific competition occurs between individuals of a single species
Competitive exclusion
Two species competing for the same resource
One species will use the resource more efficiently
That species will eventually eliminate the other species
Results of laboratory experiments not readily predictable
Example: two species of flour beetle
One species would always become extinct
Extinct species dependent on environmental conditions, genetics
Competition: Examples from Nature fig 24.10
Example: two species of barnacles fig 24.11
One species lives in shallower water, other in deeper water
In deeper zone, deep species always outcompeted shallow species
If deep species removed, shallow species inhabited deep regions
Deep species conversely could not survive in shallow waters
Example: five species of warblers fig 24.12
All five initially appeared to be competing for same resources
With closer observation, each feeds in different part of tree
Each species thus eats different subset of insects
Species not truly in competition
Predator-Prey Interactions
Predation limits size of populations
Predation and parasitism are two ends of the same spectrum
Predator may exterminate prey, having no food source it dies out fig 24.13
With refuges for the prey, predator-prey populations will cycle fig 24.14
Prey populations driven to low but recoverable numbers
Predator numbers subsequently decrease
Prey numbers increase
Predator numbers increase
Such relations are important to biological control
Near eradication of prey may cause extinction of predator
Prey must survive in small numbers for predator to survive
Example: prickly pear cactus in Australia fig 24.15
Became abundant in grazing areas
Introduction of moth for biological control
Cactus rare, moths still exist to keep them in check
Example: American chestnut populations damaged by fungus
Organisms producing disease that kills the host are not "successful"
Eliminate own source of food
Less virulent strains favored by natural selection survive
Example: rabbit viral disease, myxomatosis fig 24.16
Rabbits introduced into Australia, soon overpopulated areas
Virus introduced, most rabbits died
Most virulent strains died along with their rabbit hosts
Populations of both organisms now in balance
Relationships between large carnivores and grazing animals
Moose and wolves on Isle Royale
Moose died of other causes, not regulated by wolf population fig 24.17
Intricate interactions between predators and prey
Predators control levels of some species, survival of other enhanced
Predators greatly reduce competitive exclusion
Feedback systems control structure of natural communities
THE NICHE
Description of a Niche
Includes space, food, temperature, conditions for mating, moisture
Also takes into account behavior at various seasons or times of day
Niche is not synonymous with habitat
Realized niche
Actual niche of an organism
The role the organism plays in a particular ecosystem
Fundamental niche
Theoretical niche
The role the organism would play in the absence of competitors
Complex ecosystem can support more species, i.e. rainforest
Competition more direct in ecosystem with fewer species, i.e. tundra
Niche of an Organism Can Change Over Time
Niche is wider if organisms reach a new habitat lacking other organisms
Species may become increasingly different as they evolve
Possibility for coexistence
No longer subject to competitive exclusion
Restatement of Gause`s principle of competitive exclusion
No two species can occupy the same niche indefinitely
Coexist while competing for the same resources
One or more features of niche will always differ
Niche is a complex concept involving all environmental facets
Role of competitive exclusion more obvious when resources are drastically limited
Factors defining the niche are difficult to determine
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