BCOR 102: Exam 2 Flashcards

(52 cards)

1
Q

Age structure

A

relative number of individuals in each age class

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

stable age distribution

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

stationary age distribution

A

relative + absolute numbers are constant

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Life history strategy

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Cole’s paradox

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Bet-hedging strategy

A

“Insurance policy” that some offspring will make it

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

r-selected populations (low density)

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

k-selected populations (high density)

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

intraspecific competition

A

competition within a species

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Interspecific competition

A

competition between species

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

exploitation competition

A

population growth rates indirectly reduced through use of shared resources

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

interference competition

A

behavior or activity that reduces the uptake efficiency of another species

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

alpha (a) (competition model

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

isocline

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Case I Competition graph

A

species 1 wins in competition

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

Case 2 Competition graph

A

Species 2 wins

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

Case 3 Competition graph

A

stable, coexistence

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

Case 4 Competition graph

A

unstable, species 1 or species 2 wins

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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
ecological assortment
if species are "too close" in size or morphology on one of them to go extinct
26
Allopatric
living apart
27
sympatric
living together
28
"1.3" rule
species needed to differ in body size by a ratio of 1.3 to coexist
29
Mimicry (Mullerian)
warning colorization, unpalatable, dangerous
30
alpha (predation model)
capture efficiency
31
beta (predation model)
conversion efficiency (the ability of a predator to convert captured prey into new predator offspring
32
Large numbers of P needed to control V when:
1. r is large (V has high growth rate) 2. alpha is small (low capture efficiency
33
Large numbers of V needed to control P when:
1. q is large (P starves quickly without V) 2. beta is small ( low conversion efficiency)
34
Assumptions of Loka-V predation models
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
Lynx & snowshoe hare
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
Escape in size
chipmunks & oak trees
37
escape in space
shelters from predation, mussels vs. seastars
38
Escape in time
Day vs. night scuba anology
39
Escape in numbers
periodical cicadas, every 13-17 years, out of sync with other predator cycles
40
what happens with body mass and r?
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
Exploitation Competition model for N1
dN/(1)dt = r1N1(K(1) - N(1) - αN(2) / K(1))
42
Exploitation Competition model for N2
dN/(2)dt = r2N2(K(2) - N(2) - βN(2) / K(2))
43
N(1) (in compet. model)
intraspecific effect of N1 on N2
44
αN(2) (in compet. model)
interspecific effect of N2 on N1
45
N2 (in compet. model)
intraspecific of N2 on N2
46
βN(2) (in compet. model)
interspecific of N1 on N2
47
when does dn1/dt = 0?
when n1 = K(1) - αN(2)
48
k1/alpha
number of indiv. of n2 needed to use up all the resources of n1
49
when does dn2/dt = 0?
When n2 = K(2) - βN(2)
50
Victim predation eq.
dV/dt= rV - αVP
51
Predator predation eq.
dP/dt = βVP - qP
52
beta (competition model)
the effect of n1 on the growth if n2 per capita