BCOR 102: Exam 2 Flashcards

1
Q

Age structure

A

relative number of individuals in each age class

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2
Q

stable age distribution

A

when lx and bx are constants, relative numbers in each age class do not change

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3
Q

stationary age distribution

A

relative + absolute numbers are constant

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4
Q

Life history strategy

A

schedule of lx and bx that maximizes offspring production and survival in a particular environment

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5
Q

Ways to increase r

A
  1. Reduce age at first reproduction
  2. Increase litter size
  3. Increase number of litters
  4. Increase survivorship of juvenile and reproductive ages
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6
Q

Cole’s paradox

A

r(iteroparous)=r(semelparous + 1 offspring)

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7
Q

Bet-hedging strategy

A

“Insurance policy” that some offspring will make it

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8
Q

r-selected populations (low density)

A

Competitive ability: weak
Development: fast
Reproduction: Early, semelparous
Juveniles: Many, small
Survival: Type III
r: large

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9
Q

k-selected populations (high density)

A

Competitive ability: strong
Development: slow
Reproduction: Late, iteroparous
Juveniles: few, large
Survival: Type I
r: small

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10
Q

intraspecific competition

A

competition within a species

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11
Q

Interspecific competition

A

competition between species

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12
Q

exploitation competition

A

population growth rates indirectly reduced through use of shared resources

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13
Q

interference competition

A

behavior or activity that reduces the uptake efficiency of another species

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14
Q

alpha (a) (competition model

A

the effect of N2 on the population growth rate of N1 measured in units of N1

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15
Q

isocline

A

combination of abundances of N1 and N2 such the dn(1)/dt = 0

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16
Q

Case I Competition graph

A

species 1 wins in competition

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17
Q

Case 2 Competition graph

A

Species 2 wins

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18
Q

Case 3 Competition graph

A

stable, coexistence

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19
Q

Case 4 Competition graph

A

unstable, species 1 or species 2 wins

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20
Q

Marble U shape analogy

A

Cases 1,2,3
stable equilibrium
doesn’t depend on initial n1, n2
not depending on r1, r2

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21
Q

Marble n Analogy

A

Case 4
unstable
depends on n1, n2

22
Q

Hutchinson niche

A

n-dimensional hypervolume that defines a range of conditions for which dn/dt > 0

23
Q

realized niche

A

effects of other species in the enivornment

24
Q

character displacement

A

shifts in body size or morphology of a species in the presence of a competitor

25
Q

ecological assortment

A

if species are “too close” in size or morphology on one of them to go extinct

26
Q

Allopatric

A

living apart

27
Q

sympatric

A

living together

28
Q

“1.3” rule

A

species needed to differ in body size by a ratio of 1.3 to coexist

29
Q

Mimicry (Mullerian)

A

warning colorization, unpalatable, dangerous

30
Q

alpha (predation model)

A

capture efficiency

31
Q

beta (predation model)

A

conversion efficiency (the ability of a predator to convert captured prey into new predator offspring

32
Q

Large numbers of P needed to control V when:

A
  1. r is large (V has high growth rate)
  2. alpha is small (low capture efficiency
33
Q

Large numbers of V needed to control P when:

A
  1. q is large (P starves quickly without V)
  2. beta is small ( low conversion efficiency)
34
Q

Assumptions of Loka-V predation models

A
  1. no migration, age/size structure, genetic structure, time lags
  2. no carrying capacity for V (rV)
  3. P is a specialist on V population (-qP)
  4. P&V encounter one another randomly in a homogenous environment (Walking Dead)
  5. Individual predators are insatiable (no limit to a predator can eat, constant line of dV/dt = 0)
35
Q

Lynx & snowshoe hare

A

has similar oscillations in population, lynx is a little delayed
scenario: if no lynx present, hare still have population cycles and cycles are synchronized across canada
due to vegetation, nitrogen content, and sunspots

36
Q

Escape in size

A

chipmunks & oak trees

37
Q

escape in space

A

shelters from predation, mussels vs. seastars

38
Q

Escape in time

A

Day vs. night scuba anology

39
Q

Escape in numbers

A

periodical cicadas, every 13-17 years, out of sync with other predator cycles

40
Q

what happens with body mass and r?

A

if increase in mass –> low surface area to volume ratio (s/v) –> lower metabolism –> slow growth rate –> long generation time –> low r
**constant linear line downwards (looks like isocline)

41
Q

Exploitation Competition model for N1

A

dN/(1)dt = r1N1(K(1) - N(1) - αN(2) / K(1))

42
Q

Exploitation Competition model for N2

A

dN/(2)dt = r2N2(K(2) - N(2) - βN(2) / K(2))

43
Q

N(1) (in compet. model)

A

intraspecific effect of N1 on N2

44
Q

αN(2) (in compet. model)

A

interspecific effect of N2 on N1

45
Q

N2 (in compet. model)

A

intraspecific of N2 on N2

46
Q

βN(2) (in compet. model)

A

interspecific of N1 on N2

47
Q

when does dn1/dt = 0?

A

when n1 = K(1) - αN(2)

48
Q

k1/alpha

A

number of indiv. of n2 needed to use up all the resources of n1

49
Q

when does dn2/dt = 0?

A

When n2 = K(2) - βN(2)

50
Q

Victim predation eq.

A

dV/dt= rV - αVP

51
Q

Predator predation eq.

A

dP/dt = βVP - qP

52
Q

beta (competition model)

A

the effect of n1 on the growth if n2 per capita