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Chapter 53: Community Ecology
Community
Assemblage of populations of different species living close
enough for potential interaction
Interspecific interactions
Relationship of an organism with other species in its community
Types:
Competition
Predation
Herbivory
Symbiosis
Parasitism
Mutualism
Commensalism
disease
Interspecific interactions are -/-.
Competitive exclusion: when 2 species compete for a
resource that is in short supply it can lead to the
elimination of one of those species
Ecological niche
sum total of species’ use of biotic & abiotic resources
in its environment
Fundamental niche
Realized niche
Theoretical resource use
ideal conditions
actual resources use
real conditions of competition & predation included
**2 species cannot coexist with identical niches
Evidence of competition in nature
Resource partitioning
Character displacement
Sympatric species consume slightly different resources such
as food
Tendency for traits to be more divergent in sympatric
populations than in allopatric populations of the same 2
species
Parasitism (+/-)
Predator lives on or in host but seldom kills host
Parasitoidism (+/-)
Endoparasite examples: tapeworm, flukes
Ectoparasite examples: European cuckoos laying eggs in nest of
another species
Parasite kills host
Example: wasp lays eggs in host, larva hatch, feed, &
eventually kill host
Disease (+/-)
Pathogen=microscopic parasite that causes lethal harm
Symbiosis: close association between host & symbiont
Commensalism (+/0)
Mutualism (+/+)
Symbiont benefits from host while host is uneffected
Few absolute examples
Cattle egret feeds on insects that grazing cattle flush out of grass
Interaction benefits both species
Examples: nitrogen-fixing bacteria on legumes, cellulose digesting
microorganisms in digestive tracts of termites & cows, specific nectar
pollinating insects of specific flowers
Coevolution
Change in one species acts as a selective force on another
species
Counter-adaptations of the second species in turn affects
selection in the first species
Predation & Herbivory (+/-)
Predator eats its prey
Adaptations for stalking prey:
Acute senses
Heat sensors, chemical sensors, sharp eyesight
Structures
Claws, teeth, fangs, stingers, poisons
Speed & agility
camouflage
Prey/Plant defenses include
Structural
Thorns, spines
Chemical
Toxic or bitter taste
Passive hiding
Cryptic coloration
Shape of animal, deceptive markings (i.e. fake eyes)
Aposematic coloration
Bright coloration as a warning of toxicity
Mimicry
Batesian- edible species resembles inedible species
Mullerian- two inedible species resemble each other
Use by predator to lure prey- example… snapping turtle wags
tongue like a worm to attract fish
**Community structure is dependant on
species diversity & trophic structure; is also
effected greatly by certain species in the
community
Species diversity
The variety of different organisms that make up the
community
Components
Species richness
Total number of different species in the community
Relative abundance
Proportion of each species in the community
Trophic structure
Food chains
Food webs
Feeding relationships between organisms in the
community
Linked food chains
Limits to food chain length
Energetic hypothesis
Food chain is limited by inefficiency of energy transfer along the
chain (only 10% passed on to next trophic level)
Dynamic stability hypothesis
Long food chains are less stable than shorter food chains
a result of the magnification of population fluctuations at higher
trophic levels (top predators more likely to go extinct)
Variable environments=shorter food chains
Species with a large impact on community
structure
Dominant species
Keystone species
Species in the community with the most biomass or
abundance
Species that play a pivotal ecological role or niche
Foundation species
Species that causes physical changes in the environment
that affects the structure of the community
Ex. beavers
Non-equilibrium model
Communities are constantly changing
Disturbance influences species diversity & composition
Disturbance
event that changes a community through removal of
organisms &/or altering resource availability
Examples: storm, fire, drought, human activity*
*largest/widespread agent of change
Intermediate disturbance hypothesis
Moderate levels of disturbance can create conditions that
encourage species diversity by opening up new niches
low levels of disturbance lower diversity because species are
out-competed
high levels of disturbance reduce diversity because of stress
to species
Ecological succession
Disturbed area is colonized by a variety of
species which are replaced by other species
which are again replaced….
Primary succession
Lifeless area without soil begins being inhabited by
variety of species
Dominant species are often autotrophic prokaryotes,
lichens, & mosses to start replaced by grasses, shrubs,
& trees
Secondary succession
Existing community is cleared by a disturbance that
leaves the soil intact
Ex. Species inhabiting a forest after a fire
Biogeographic features affect community
biodiversity
Geographic location
Species diversity is higher at equatorial region compared
to seasonally disturbed higher latitudes
Evapotranspiration rate is higher at equatorial regions
Size
Larger geographic areas have a greater number of
species as long as all other factors are equal
Models for community organization
Bottom-up model
Suggests alteration of biomass at lower trophic
levels will influence the higher trophic levels
Ex. Adding nutrients to soil increases plants, then
herbivores then carnivores
Top-down model/trophic cascade model
Postulates that predation controls community
organization
Ex. Removing lake predator increases herbivores
which decreases plants which increases nutrients
Hypothesis for community structure
Interactive hypothesis
Community is an assemblage of closely linked species having
mandatory biotic interactions that cause the community to
function as an integral unit
Individual hypothesis
Community is a chance assemblage of species found in an
area because of similar abiotic requirements
Generally accepted by plant ecologists
Models for individual hypothesis:
Rivet model
Most species in a community are associated tightly with others in its
community in a web of life
Redundancy model
Web of life is loose
Increase or decrease in one species has little effect on other species
because there are redundant species to fill voids