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BIO120 > 18/19 > Flashcards

18/19 Flashcards

1
Q

possible ways to add more complexity or reality to exponential or growth models

A
  • different forms of density dependence (allee effects)
  • time lags
  • incorporate species interactions (eg effects of competitors, predators, mutualists)
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2
Q

per capita growth rate is fastest when… what is an exception to this?

A

population is near zero; sometimes more density may be beneficial

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3
Q

what are Allee effects?

A

negative effects of low density, arising from social benefits such as mate finding, group living, group defence

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4
Q

meerkats

A

cooperate to avoid predators and rear young, so their populations require a minimum population density to grow

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5
Q

when Allee effects are in force

A
  • populations may fluctuate between carrying capacity, K, and another, lower limit
  • dropping below the lower limit goes to extinction
  • very important in conservation
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6
Q

age-structured populations

A
  • exponential and logistic models of population growth treat all individuals in a population the same
  • but in real populations, not all individuals have the same probability of giving birth or dying
  • fecundity and survivorship depend on age
  • how these depend on age varies among species; species have different life history strategies
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7
Q

key components of a life history strategy include

A

lifespan, the timing of reproduction, number of offspring, and parental investment in offspring

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8
Q

typical life history for many plant and animals

A
  • start life at small size
  • grow for a period without reproducing (for resource accumulation)
  • when have enough resources, become mature, start spending resources on reproduction
  • organisms show various lifestyles after sexual maturity
  • some expend all resources at once, see spread them out
  • need to consider age structure of population to better predict population trajectories
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9
Q

elephants

A

low fecundity
long lifespan
late 1st reproduction
big investment in each individual offspring

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10
Q

pika

A

high fecundity
medium lifespan
fast first reproduction (within 1st year of life)
1-13 babies per reproduction cycle

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11
Q

salmon

A

very high fecundity
medium lifespan
late first reproduction
return to natal rivers at end of lives to have offspring then die right after
female can lay 1000s of eggs when she spawns

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12
Q

variation in fecundity and survivorship with age is summarised by

A

life tables of age-specific rates

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13
Q

life tables have important implications for

A
  • evolution of life histories
  • conservation of populations
  • understanding the changing structure of human populations (human demography)
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14
Q

age-sex pyramid

A

males left, females right, height of bar Indicates how many individuals there are of that population

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15
Q

demographic transition undergone in Canada

A

pyramidal shape -> stable age structure with similar number at each age class

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16
Q

which sex is usually only used in age structures?

A

females - these are assumed to invest the most time and energy into rearing offspring, and so limit the amount of children

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17
Q

age-class intervals

A
  • arbitrary units of time chosen to give a reasonable number of age classes for the organism in question
  • for microbes, minutes to hours
  • most insects, weeks
  • most mammals and birds, years
  • humans, typically 5 year intervals
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18
Q

life tables

A
  • data that summarise the life events that are statistically expected for the average individual of a specified age in a population
  • age of death
  • age and timing of reproduction
  • for modelling, these are treated as constants
  • usually consider females only
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19
Q

age classes denoted by

A

subscript x

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20
Q

lx =

A

probability of being alive at age x

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21
Q

l0 =

A

1.0 by definition

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22
Q

survivorship curve

A

graph of lx vs x

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23
Q

lx necessarily declines with

A

x

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24
Q

shape of lx curve

A

characteristic of species

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25
Q

draw and describe types of survivorship curves

A

type II - if mortality is constant with age, you will get an exponential decline; usually graph lx curves as log plots, where type II is a straight line
type I - individuals survive really well until middle age
type III - really high mortality early in life, but if you make it into adulthood you have a high chance of surviving

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26
Q

real shapes of survivorship curves + example diagram

A

more complex

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27
Q

real human data example from Statistics Canada

A
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28
Q

fecundity schedules

A
  • mx (or bx) = number of daughters born to a female of age x during the interval x to x+1
  • shape of mx curve is characteristic of species
  • reproductive period usually preceded by resource-accumulation phase
  • fecundity-survivorship trade-off = cost of reproduction
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29
Q

net reproductive rate

A
  • average (expected) number of daughters a female has in her lifetime = R0
  • R0 = Σlxmx
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30
Q

why does net reproductive at work?

A

Σmx would be the total number of daughters produced by a mother who doesn’t die earl; multiplying by lx discounts expected production by the probability that some mothers do die early

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31
Q

R0 is like

A

λ, but in time units of one generation rather than one time interval

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32
Q

in epidemiology, R0 is

A

the average number of secondary infections that a single infection gives rise to

33
Q

generation time, T

A

average age at which a female gives birth
T = Σxlxmx/R0
- this is a formula for weighted average. x is a female’s age; multiplying x by lxmx weights x by how many offspring are produced at that age; dividing the sum of the weighted x’s by the total lifetime production of daughters (R0) gives a weighted average that specified when a female gives birth, on average

34
Q

relationships among R0, λ, r

A
  • these parameters indicate the factor by which a population changes during a discrete interval of time, but those intervals are different
    r = ln(R0)/T = ln(λ)
35
Q

how are growth rate and fitness related?

A

generally, organisms with higher growth rates have higher fitness

36
Q

why aren’t all plants annuals? why aren’t all mammals mice? why aren’t all lives short and fast?

A

constraints and trade-offs: reproduction is costly. longer pre-reproductive periods allow time to accumulate more resources

37
Q

plant life history category table

A
38
Q

example of obligate semelparity

A
39
Q

when does natural selection favour semelparity?

A

when reproductive output is increased by accumulating resources for longer, for example if:
- reproductive output depends strongly on size
- in plants, massive flower/fruit displays attract more beneficial animals (pollinators or seed dispersers)
- or massive seed crops satiate seed predator populations, allowing more seeds to go uneaten

40
Q

semelparous fish lay larger eggs, but only if

A

they grow large enough

41
Q

example of extremely synchronised semelparity

A
  • bamboo
  • long lived
  • long reproductive period when growth of offspring is highly synchronised
  • thought to satiate the bamboo seed predators so the predators can’t eat all of the offspring
42
Q

advantage of synchrony

A

infrequent pulses of reproduction = predator satiation tactic

43
Q

iteroparity plus local synchrony

A

masting
eg quercus douglasii

44
Q

K strategy vs r strategy

A
45
Q

Outcome of competition

A

hurts both species

46
Q

Outcome of predation

A

benefits predators, but hurts prey

47
Q

Outcome of host-parasite and plant herbivore interactions

A

same as predation - positive and negative

48
Q

Outcome of mutualism

A

helps both species

49
Q

Interactions between species are often classified by

A

their outcome (+ or -)

50
Q

Two main foci of study in ecology and evolution of species interactions

A
  • population dynamics and effects on community structure (how species interactions affect these two things)
  • evolutionary dynamics (adaptation and co-evolution)
51
Q

Intra-specific competition

A

competition among the members of the same species (i.e. among conspecifics) for resources

52
Q

Inter-specific competition

A

competition among members of different species (ie among heterospecifics) for resources

53
Q

Scramble/exploitative competition

A

depletion of a shared resource

54
Q

Contest/interference competition

A

direct interactions, such as battles over territory

55
Q

Give an example of interference competition

A
  • Invasive Argentine ants fight a harvester ant in California
  • Invasive ants (superior competitors) often drive down populations of native ants
56
Q

Exploitative competition

A
  • two species do not need to directly interact or even to be active at the same time to compete
  • if one consumes a resource, leaving less resource for the other, then they compete
57
Q

Example of exploitative competition

A

squirrels and birds, and bird feeders
- squirrel eats food from the feeder and leave no seeds left from the birds
- squirrel is competing successfully with birds by consuming a lot of shared resources

58
Q

model for inter-specific competition for resources

A

Lotka-Volterra equations for two species competing for resources
- is a simple outgrowth of logistic equation
- logistic already has a breaking term for intra-specific competition
- Just add a second braking term for
inter-specific competition

59
Q

give the 4 steps for arriving at the Lotka-Volterra model from a logistic model

A
  1. Start with the logistic model for population growth
  2. Rewrite the logistic model with subscripts to indicate species 1
  3. Add a term to show effect of species 2 on species 1
  4. Write matching equation for species 2
60
Q

give the equation for Lotka-Volterra model

A
61
Q

α(ij) =

α(ji)

A

per-capita effect on i by j

per capita effect on j by i

=> competition coefficient

62
Q

describe the competition coefficients (α’s)

A
  • fixed for a particular pair of species
  • α(12)N(2) converts individuals of species 2 into an equivalent number of individuals of species 1
  • eg a squirrel can eat a lot more seeds than a sparrow; a measures how many sparrows-worth of seeds a single squirrel eats
63
Q

four possible equilibria outcomes of Lotka-Volterra competition

A
  • the two species may stably coexist
  • species 1 may always win (N1 = K1, N2 = 0)
  • species 2 may always win (N2 = K2, N1 = 0)
  • identity of winner may depend on starting N’s
64
Q

meaning of Equilibrium for Lotka-Volterra competition

A

N’s are no longer changing

65
Q

what do the outcomes of the Lotka-Volterra competition depend on?

A

values of K’s and α’s

66
Q

coexistence requires

A

both species to inhibit their own growth more than they inhibit each other’s

67
Q

define equilibrium

A
  • for a population: size not changing over time (dN/dt = 0)
  • for a community: a community not changing over time (in a strict sense: all populations in a community at equilibrium. more generally: constant species composition)
68
Q

define stability

A

the ability of a system to return to equilibrium following a perturbation or disturbance

69
Q

define coexistence

A

occurs when two or more species have non-zero population sizes at equilibrium

70
Q

Principle of competitive exclusion

A
  • Lotka-Volterra predicts that for two species to coexist, competition between species must be weaker than competition within a species
  • in other words, two species can’t compete too intensely (i.e. overlap too much in resource use/niche space), or one will outcompete the other
  • This idea is very old: “As a result of
    competition two similar species scarcely ever
    occupy similar niches” (Gause 1934)
  • Or: “Complete competitors cannot coexist”
    (Hardin 1960)
71
Q

Character displacement

A

coexisting similar species evolve differences to minimise effects of competition on their fitness
- eg Darwin’s finches and beak size
- when finches live on same island, beak size becomes different so that they can eat different sized seeds

72
Q

Paradox of the plankton

A

In aquatic ecosystems like lakes and oceans, phytoplankton species coexist in high diversity, even though they:
- Compete for the same basic resources (e.g., light, nutrients like nitrogen, phosphorus, etc.).
- Share similar ecological niches.
This coexistence defies the competitive exclusion principle: How can so many plankton species coexist in an environment with limited resources?

73
Q

Paradox of the tropical forest

A
  • hundreds of species of trees living in very small areas, despite having the same niche
  • how is this possible?
  • either every species has a distinct niche or something prevents competitive
    exclusion from driving species extinct
  • this is subject of intense study/debate
74
Q

how do Lotka-Volterra models relate to the real world?

A

Experiments by Gause (1930’s)
studied competition among protozoa
in artificial culture vessels; saw both stable
coexistence and competitive exclusion

75
Q

Gause’s famous competition experiments with Paramecium species in lab culture - draw graphs

A
76
Q

How are competitive effects manifested in nature compared to the lab?

A
  • in nature, competitive exclusion is less likely to go to completion
  • nonetheless, competition can drastically affect abundances and alter distributions in space
  • Biological effects interact with physical
    effects: different outcomes in different
    environments
77
Q

Connell, 1961: Field experiments with two barnacle species in the marine intertidal zone

A
  • Zone upper limits set by desiccation
  • Lower limits set by competition for space on the rock
  • Competition is asymmetrical
  • Remove Balanus, Chthamalus extends its distribution down (distribution limited by competition)
  • Remove Chthamalus, Balanus does not extend upwards; not competition, but simply can’t tolerate the conditions at the top of the rocks
78
Q

Resolving the paradox of the
plankton

A

Lotka-Volterra models too simple, ignore too
much reality, including:
- Most real communities are not at a
competitive equilibrium
- Real populations are kept below carrying
capacity by weather, disease, predators
- Real conditions fluctuate, favouring different species at different times (or in different places)

79
Q

Scaling up from two populations
to ecological communities

A
  • Competition can affect which and how many
    species occur in an ecological community,
    which ecologists call community composition
    and species richness, respectively
  • Competition is generally expected to
    decrease species diversity (e.g., if a superior
    competitor excludes other species)
  • It is a real challenge to scale up from simple,
    species-poor systems (e.g., two Paramecium
    in lab cultures) to complex, species-rich
    systems (e.g., a whole tropical rainforests)

BIO120 (61 decks)

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