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Patterns of resource partitioning(3 types)
habitat and microhabitat
time
size and morphology
Why resource partitioning by size and habitat more favorable than resource partitioning by time?
Habitat and size partitioning is an exchange of one type of positive energy gain for a different positive energy gain, whereas by time is an exchange for a positive gain and no gain.
What type of animal favors resource partitioning by time and why?
Predators in order to follow the activity levels of a preferred prey
Null Model to test for resource partitioning
***
Complimentary test for resource partitioning
Compare two resource dimensions. Would expect that high overlap in one resource dimension would predict a difference in the second dimension.(i.e. size, habitat). No high overlap in two dimensions.
Character Displacement test for resource partitioning
Compare species in isolation and in overlap and note that species more alike where the appear separately compared to where they overlap. Specialize more in overlap. Those of the species similar to competing species tend to do worse.
Field experiment test for resource partitioning
place species together and in isolation and look for impacts on survival and reproduction, compare effect to degree of similarity in resources.
Niche
total conditions under which an individual/population lives and replaces itself.
Limiting similarity
how similar 2 species can be and still coexist(not drive each other to extinction)
limiting similarity equation(effect of species 2 on species 1)
a12=(sum(P1hi)(P2hi))/(sum((P1hi)2))
limiting similarity equation(effect of species 1 on species 2)
a21=(sum(P1hi)(P2hi))/(sum((P2hi)2))
d in utilization curves
distance between peaks
w in utilization curves
½ of width between curves
limiting similarity equation for utilization curves
1= d/w
Factors that increase room/space for species to invade a system of resident species
More specialization of resident species
Looking a more/multiple resource dimensions
If many competing species exist, than no species can reach critical density to eliminate each other, because of lowered carrying capacity, more room
Specialists
Use a narrower range of resources within utilization curve(skinnier curves, lower w)
Generalists
Use a broader range of resources within utilization curve(wider curves, higher w)
Coevolution
two species constantly evolving in relation to each other
Mutualism
interaction between to species that benefit each species, but can range into parasitism
Two types of mutualism and define
Falculative: relationship not specifically necessary to the survival of either species.
Obligatory: species entirely dependent on each other for survival( fig & fig wasps)
Why obligatory mutualism evolve???
***y
y in a host parasite model
number of infected individuals
x in host parasite models
number of susceptible individuals
z in host parasite models
number of recovered individuals/individuals with assumed immunity
D in host parasite models
Death rate of infected
y* in host parasite models
recovery rate from infection
Overall model equation of change in host population in presence of parasite
dN/dt = rN - Dy
beta(B) in host parasite models and range
transmission coefficient(chance that and xy interaction results in transmission) range 0 to 1
Reproductive rate of infection
R(x)=Bx/(D+y*)
IF R(x)<1, pathogen wont spread
IF R(x)>1, pathogen will spread
Threshold value of infection meaning and equation
Threshold value of infection is the minimum number of susceptibles in the host population needed for infection to spread.
x=(D+y*)/B
Methods of containing infection
lower the number of susceptibles within the population( lower x to be below (D+y*)/B
reduce the transmission rate B
implication of immunization based on R(x) values
the higher R(x) of a disease in a population, the greater rate of immunity neccessary to acheive herd immunity.
Two types of competition and define
Exploitative competition: individual deprive each other of some resource such as food
Interference: interactions between. individuals affect survival, reproduction and population growth
competition coefficient
(interspecific effect x effect of species 1 on 2)/(intraspecific competition x effect of species 1 on 1)
How do populations grow in absence of each other?
When competing population is a zero grow to their own carrying capacity K
competition isocline meaning
the isocline represents all conditions where the population is not growing.
Population growth trend below isocline
Positive growth
Population growth trend above isocline
negative population decline
4 outcomes of competition
Species 1 reaches critical density (K2/ α21) at which species 2 is inhibited, and species 2 goes extinct
Species 2 reaches critical density (K1/ α12) at which species 1 is inhibited, and species 1 goes extinct.
Both species reach the critical density that inhibits the other, and one or the other goes extinct (unstable equilibrium)
Both species reach their carrying capacities before they reach the critical density that inhibits the other, and they coexist (stable equilibrium)
Takeaways of competition experiments
differences in resource use outcome of competition
coexistence only possible w/o total overlap
Field experiment test for mutualism
Go out and observe to positive and negative(cost benefit) analysis of different interactions. Experiment with species in isolation and
Field experiment test for competition
combine species and note for decline
Proportion of H vaccinated for no pathogen spread
p=1-(1/R(x))
Equation for when pathogen stop spread
Bxy=y(D+y*)
Factors favoring specialization
flowering season is short and lifetime of pollinator is short relative to lifetime of flower, specialization may be favored
Pollinator/host only needs to interact with one member of the complementary species
From plant’s point of view, specialization on a single pollinator (or kind of pollinator, e.g., bird or bee) might reduce pollen interference between different species of plant
Removal of nectar reward by less-preferred pollinator may discourage preferred pollinator
When to expect specialization and generalization
Expect specialization when pollinator is reliable -e.g., short arctic seasons -stable tropical regions
Expect generalization in unpredictable environments e.g., temperate regions with migratory pollinators
How competition influence evolution?
When evolutionary pressure is applied, favors becoming less similar to competing species
How predation influence evolution?
Prey defenses should match predator foraging tactics
Predator foraging tactics should match prey defenses
Coevolved matches should be absent where prey and predator do not co-occur
sympatric
Living together and interacting
allopatric
The physical isolation of the population due to the extrinsic barrier
Sex impact on evolution
sex can act to cause divergence so sexes niche dont overlap, causes flowers to evolve and diverge to match sexes
Energy flow
measure rate at which energy is captured by one group of consumers and passed on to the next
Productivity in energy flow ecology and unit
the rate at which energy is captured and used by some group of organisms
expressed as a rate and as biomass
Primary producers
capture light energy and convert it to tissues that are then available to other consumers
Gross primary productivity
-rate at which primary producers capture radiant energy from the sun via photosynthesis
Net primary productivity
portion of GPP that ends up in producers for tissues and reproduction
Biomass
mass of energy fixed into tissues (physical accumulation of NPP) measured in g/m2
Why communities differ in NPP
Life history strategies, some put more work into long term storage.
Conditions that favor high NPP
water
warmth
moderate high rainfall(lots of water)
Trend for productitivity in oceans
high productivity in shallower water where nutrients stay in photosynthetic layer. but aside from that nutrients fall to ocean bottom.
Autotrophs
(green plants or primary producers) -organisms that make their own energy
Heterotrophs
Heterotrophs (herbivores and carnivores; consumers) -organisms that consume other organisms
Detritivores
break down organic matter.
Ecological Efficiencies in food chains
(net production of a level)/net production of level before it
Typical tend for efficiency for predators and herbivores
1) Herbivores/producers < 10%
2) Carnivores/herbivores, top carnivores/carnivores < 15%
Assimilation efficiency
(food digested)/(food consumed)
What determines food chain length
No productivity, not assimilation efficiencies, but determined by disturbance
prey growth equation
dH/dt= rH -pHP
H and P in predator prey models
h=prey population
p=predator population
p in predator prey models
predation efficiency
HP in predator prey models
rate of predator-prey interactions
P^ equation, meaning and implications
P^= r(intrinsic rate of prey population growth)/p
# of predators where H prey population does not grow
if P<P^, then prey size increasing because not enough predators to manage
if P>P^, then prey size decreasing because so many predators
What will happen to equilibrium predator population when predation efficiency increases?
lower P^, because less predators needed to regulate prey pop due to high efficiency
What will happen to equilibrium predator density when rate of prey population growth increases?
higher P^, because prey population growing faster means more predators can exist to forage them
predator growth equation
dP/dt = apHP - dP
a in predator prey models
assimilation efficiency, number of prey needed to make a predator
d in predator growth models
death rate of predators
r in prey growth model
intrinsic rate of prey increase
H^equation, meaning and implications
H^= d(death rate of predators)/ap(assimilation and predation efficiencies)
# of prey where predator population doesn’t change
if H<H^, then predator population shrinks due to starvation
if H>H^, then predator population grows due to food in excess
Effect of higher assimilation efficiency on H^
lowers H^ because predators need less prey to stay alive per predators.
effect of higher predation efficiency on H^
lowers H^ because predators can hunt prey better, need less prey to get the same number of kills.
effect of higher predator death rate on H^
higher H^ because maintaining predator population more difficult due to higher death rate
Isocline in predator prey model
Line where population growth rate is zero
What is happening to predator population above and below H^
Above eq. prey density, predators growing
Below eq. prey density, predators shrinking
What is happening to prey population above and below P^
Below eq. predator density, prey growing
Above eq. predator density, prey shrinking
Relation between ellipse size and cycle amplitude
bigger ellipse, bigger cycles
Ellispe size implications
larger ellispe, less stable system. When ellispe touches predator or prey axis, predator or prey go to zero
Cycles and latitudes
Cycles do not occur at lower latitudes because there are more prey species and those predators can switch between them when on
Predator prey cycles
Predator increase, drives prey down, which limits predators, allows prey to increase in size due to low number of predators, excess prey cause predator increase…repeat