Ecology Flashcards

1
Q

what is ecology?

A

the science of biodiversity:
- how organisms interact with each other and with their environment
- distribution and abundance of species
- structure and function of ecosystems

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2
Q

how many species are there?

A

globally, too many to count. many (>85% are still unknown to science). one estimate, extrapolated from rates at which new taxa are described is 8.7 million (just eukaryotes)

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3
Q

is biodiversity equally distributed across the tree of life?

A

no, 70-90% of species are bacteria

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4
Q

define a populations

A

all the individuals of the same species in one place at one time

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5
Q

define an ecological community

A

all the species living together in one place at one time

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6
Q

define an ecosystem

A

all the species plus the non-living environment

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7
Q

why do we care about species range?

A
  • to understand where plants and animals can grow because they give us food, clothing, wood, medicine, etc
  • predict what will happen to biodiversity as the climate changes
  • predict how biodiversity will respond to habitat destruction, pollution, invasive species, etc
  • to understand disease risk of microbes
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8
Q

what determines where species live?

A
  • dispersal
  • abiotic conditions: climate, nutrients
  • species interactions: competition, predation, mutualism
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9
Q

what limits a species’ range?

A
  • dispersal
  • climactic or other inexhaustible conditions, eg temperature/salinity
  • food or other exhaustible resources, eg nutrients/space
  • species interactions eg competition/predation/mutualism
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10
Q

the sixth extinction

A
  • ongoing mass extinction, mainly as a result of human activities
  • 32% of known vertebrate species (8,851/27,600 species) are decreasing in population size or range
  • North American birds have declined in abundance by 29% since 1970
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11
Q

Margulis

A

Lynn Margulis was an American biologist whose serial endosymbiotic theory of eukaryotic cell development revolutionized the modern concept of how life arose on Earth.

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12
Q

Malthus

A

English economist and demographer who is best known for his theory that population growth will always tend to outrun the food supply.

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13
Q

Draw and describe a general graph for the performance of species against an environmental gradient
label:
- lethal zones
- where growth occurs
- where reproduction occurs
- where survival occurs

A

species have ranges of tolerance along environmental gradients

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14
Q

define the ecological niche

A
  • the combination of physiological tolerances and resource requirements of a species
  • more casually, a species’ place in the world - what climate it prefers what it eats, etc
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15
Q

draw a graph and describe the Hutchinsonian niche

A

the niche is an ‘n-dimensional hypervolume’ shaped by the environmental conditions under which a species can ‘exist indefinitely’. Each axis is an ecological factor important to the species being considered

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16
Q

factors determining biomes

A
  • temperature is mostly a function of latitude
  • higher latitudes colder; seasonality a function of temperature (summer-winter)
  • lower latitudes warmer; seasonality a function of rainfall (dry-wet season)
  • rainfall mostly depends on atmospheric circulation, offshore ocean currents, rain shadows
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17
Q

Intertropical convergence

A
  • shows a line of rain clouds across the pacific
  • ITCZ shifts seasonally, producing rainy and dry seasons in some parts of the tropics
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18
Q

how does the ITCZ form?

A

When the northeast trade winds from the Northern Hemisphere and the southeast winds from the Southern Hemisphere come together, it forces the air up into the atmosphere, forming the ITCZ.

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19
Q

Coriolis effect

A

the earth’s rotation deflects winds: objects (including hurricanes) appear to be deflected eastwards as they move away from the equator and deflected westwards as they move towards the equator

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20
Q

general trends of terrestrial vegetation with climatic variables

A
  • vegetation growth (primary productivity) increases with moisture and temperature
  • vegetation stature also increases so region with certain combinations of moisture and temperature develop predictable, characteristic types of vegetation (biomes)
  • seasonality is secondarily important
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21
Q

draw a Whittaker’s diagram

A
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22
Q

—– mostly determines terrestrial biomes

A

latitude

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23
Q

changes in temperature within basic latitudinal belts

A

land changes temperature more readily than water; maritime climates are moderate, continental climates are extreme; oceans provide thermal inertia

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24
Q

changes in precipitation within basic latitudinal belts

A
  • evaporation high from warm bodies of water, low from cold
  • prevailing winds
  • orographic precipitation (air forced up mountainsides undergoes cooling, precipitates on upper windward slopes)
  • rain shadows created on leeward slopes of mountain ranges
  • seasonality of moisture also important
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25
Q

leeward slope

A

slopes that are oriented away from the wind

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26
Q

draw diagram of orographic precipitation

A
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27
Q

latitudinal patterns are complicated by

A

the distribution of landmasses

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28
Q

how do ocean currents affect precipitation?

A

driest deserts occur inland of cold-water upwellings as cold water -> dry air

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29
Q

when would animals’ geographical ranges not correspond to biomes (i.e. limited by climate or vegetation)

A
  • transcend biomes (ecological versatility, super generalists)
  • not at limits because of recent history (eg limited dispersal)
  • limited by other organisms
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30
Q

describe ecological niche modelling

A
  • also called species distribution modelling
  • uses data from a species’ present distribution to predict where a species can live
  • usually relies on climate data; more rarely on other niche axes, such as resources
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31
Q

what is ecological niche modelling useful for modelling for?

A
  • biological invasions
  • how species’ ranges may shift as climate changes
  • spread of vector-borne diseases
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32
Q

describe Dengue

A

a virus vectored by Aedes mosquitoes

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33
Q

observed range shifts

A
  • estimated that species are moving polewards
  • although many factors influence a species’ range, there is considerable evidence that numerous species are moving polewards to track recent changes in climate
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34
Q

how are ranges of tolerance related to homeostasis?

A

reactions occur (enzymes function) best at optimum temperature and osmotic conditions where fitness is maximised.

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35
Q

what does an animal’s physiology reflect?

A

the climate and other conditions to which the organism is adapted

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36
Q

compare the tolerance of temperate animals to tropical animals?

A
  • temperate animals withstand colder temperatures than tropical animals
  • temperate animals also tolerate a wider range of temperatures than tropical animals
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37
Q

trends in seasonal temperature variation

A

low near the equator and increases with latitude

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38
Q

heat balance in poikilotherms

A

most reptiles, amphibians, fish, invertebrates
- lack physiological means to deviate from environmental temperature (although they use behavioural means): their temperatures fluctuate

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39
Q

heat balance in homeotherms

A

must regulate heat balance to keep internal temperature within a narrow range: many traits contribute to this

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40
Q

why do poikilotherms have lower energy requirements than similarly sized homeotherms?

A

maintaining a constant internal temperature requires energy

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41
Q

list the 5 modes of heat gain or loss

A

radiation
conduction
convection
evaporation
redistribution

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42
Q

radiation

A

heat transfer by electromagnetic radiation

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43
Q

conduction

A

transfer by direct contact with substrate (eg feet lose heat to ground)

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44
Q

convection

A

heat transfer mediated by moving fluid (usually air or water)

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45
Q

evaporation

A

efficient cooling from wet surfaces

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46
Q

redistribution

A

circulatory system redistributes heat among body parts, esp. core to appendages

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47
Q

how does size matter to heat balance?

A
  • surface area determines equilibration rate
  • volume provides the inertia
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48
Q

draw a diagram for radius vs SA:V and equilibrium

A
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49
Q

Bergmann’s rule

A

homeotherms tend to be larger at higher latitudes (colder)

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50
Q

if a sphere has the smallest SA:V, why aren’t homethoerms always spheres in cold climates?

A
  • sometimes SA is needed for function
  • sometimes particular shapes are needed for function
  • tradeoffs and adaptive compromises
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51
Q

who has the maximum SA:V ratio?

A

Chrysopelea gliding snake, Borneo; restricted to warm tropics

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52
Q

who has the minimum SA:V ratio?

A

American Pika, Ochotona princeps: alpine tundra rabbit; restricted to cold habitats; spherical shape, reduced ears for a rabbit

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53
Q

Allen’s rule

A

homeotherms tend to have smaller appendages at higher, colder latitudes

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54
Q

what other factors matter other than shape and size?

A
  • insulation
  • convective cooling enhanced by vascularisation
  • evaporative cooling
  • countercurrent circulation to limbs conserves heat
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55
Q

describe how countercurrent circulation to limbs conserves heat

A
  • arteries and veins should be appressed in appendages to conserve heat; separated in appendages designed to shed heat
  • countercurrent flow maintains gradient, so heat is always flowing from outgoing blood to incoming blood
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56
Q

draw a diagram for countercurrent circulation

A
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57
Q

how is the skinny weasel in cold climates an example of a trade-off?

A
  • being long and thin makes weasels subjects to thermal stresses (costly) but allows them to be better predators (beneficial)
  • because they are long and thin, we infer that the fitness gains of being a good hunter offset the fitness costs of an expensive metabolism
  • if they can get enough prey they can stay warm despite their heat-wasting shape
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58
Q

two reasons why natural selection produces deeply imperfect organisms

A
  • tradeoffs: being good at x may necessarily imply being bad at y
  • constraints: selection builds on what is already there, especially existing developmental programs.
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59
Q

anther

A

bears pollen

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60
Q

stigma

A

receives pollen

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61
Q

why is physiological ecology different for plants?

A
  • sessile, with little scope for behaviour; animals can escape adverse conditions, but plants must tolerate them
  • autotrophic; they make their own food through photosynthesis
  • all plants need the same few things to grow; light, CO2, water, and soil nutrients (esp NPK)
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62
Q

describe photosynthesis

A

CO2 + H2O –(light)–> carbohydrate + O2
- plants must bring together CO2, water, and light in functioning photosynthetic tissues
- enzymes also require a certain temperature
- for growth, plants have to acquire more carbon through photosynthesis than they lose through respiration; carbon balance is thus key

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63
Q

Net Primary Productivity (NPP)

A

C gained via photosynthesis - C lost via respiration

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64
Q

what happens in synchrony with photosynthesis?

A
  • photosynthetic (green) structures are usually leaves (but can be stems)
  • plants take in CO2 through stomata
  • but plants also transpire; they lost water through stomata
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65
Q

how do photosynthetic structures embody adaptation to environmental stresses?

A
  • leaf size and shape: SA:V ratio important
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66
Q

costs and benefits of large leaf SA

A
  • benefits: good fro harvesting light, CO2
  • costs: bad for overheating, water loss by transpiration through stomata
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67
Q

why and how have plants evolved to overcome the shortcomings of C3 photosynthesis?

A
  1. most plants fix carbon by C3 photosynthesis:
    - rubisco is the enzyme that accepts CO2
    - but at high temperatures, rubisco often captures O2 instead of CO2, which is bad for plants (photorespiration)
  2. some plants have evolved:
    - C4 photosynthesis: the enzyme PEP carboxylase first accepts CO2, reducing photorespiration
    - CAM photosynthesis: plants close stomata during the day to reduce water loss, open stomata at night to let in CO2; photosynthesis still needs light, so they store CO2 as malate until daytime
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68
Q

how do plants with large leaves combat overheating?

A
  • growing in shady habitats
  • evaporative cooling by opening stomata
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69
Q

evaporative cooling needs plentiful water, which is not always available. Plants with large leaves combat water loss by:

A

closing stomata

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70
Q

fundamental trade-off between water conservation and rapid growth

A
  • closing stomata shuts off all gas exchange, including CO2 input, so photosynthesis shuts down.
  • the plant stops growing and risks overheating and tissue damage
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71
Q

in what plants are the consequences of the water conservation/growth trade-off most obvious?

A

desert plants

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72
Q

Palo Verde (Parkinsonia sp)

A

= green stick
- microphylly
- photosynthetic bark on trunks and branches makes up for this
- can grow without incurring heat load and water loss through leaves
- deciduous tree in response to drought (drops leaves)

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73
Q

leaves in tropical rainforests vs deserts

A
  • tropical rainforests: warm and wet
  • leaves very big
  • deserts: hot and dry
  • leaves very tiny

this is because rainfall is abundant in tropical rainforests, so plants can afford to have very big leaves and lots of transpiration

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74
Q

Santa RIta prickly pear (Opuntia Santa-rita)

A

Microphylly taken to extremes: no leaves

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75
Q

Saguaro cactus (Carnegiea gigantea)

A

restricted to Sonoran desert and adapted to episodic rains
- grows to 15m, 200yr, 5+ tonnes
- CAM photosynthesis
- extensive, shallow roots
- accordion-pleated trunk allows expansion
- can absorb 800L water from one storm, use it gradually for growth

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76
Q

describe cactus roots

A

extensive but shallow
- when it rains in the desert, the water moistens just the top few cm of soil but never penetrates any further

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77
Q

describe tropical tree roots

A

extensive but shallow
- have a shallow layer of nutrient-rich soil due to rain leaching
- extensive, shallow roots are an adaptation to acquire scarce nutrients (phosphorous, nitrogen, etc)

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78
Q

Root foraging

A

plants grow their roots in soils where nutrients are abundant

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79
Q

Rebecca Doyle and Legume species (Medicago truncatula):

A

split root experiment
- low N vs high N
- good vs bad NF bacteria
- legumes forage for both soil nitrogen and nitrogen-fixing bacteria
- legume roots grow larger in more nitrogen and make more nodules with good bacteria

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80
Q

can plants evade stress through behaviour?

A

deciduous habit:
- dropping leaves during dry or cold seasons reduces water stress and tissue damage

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81
Q

how does leaf shape influence gas exchange?

A

through laminar vs turbulent air flow over surfaces
- laminar: airflow unimpeded, moves in smooth fashion over a surface
- causes stagnant layer of air called a boundary layer to build up, preventing gas exchange

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82
Q

morphological plasticityL sun and shade leaves from one red oak tree

A

shade leaf: smooth surface, no bumps
- more laminar flow, less cooling
sun leaf: bumpy leaf
- more turbulence, better cooling

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83
Q

Monstera deliciosa

A
  • dissected outlines cause turbulent air flow (sun leaf)
  • fewer holes in shade leaves to promote laminar flow
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84
Q

recursive digression

A

convective cooling aided by turbulence
- small snow bunny has smooth surface to promote laminar air flow and keep it warm

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85
Q

what type of evolution are cacti an example of?

A

convergent

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86
Q

can plants in rainforests be water stressed?

A

yes, if they’re epiphytes

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87
Q

what are epiphytes?

A

plants than grow on trees, so they aren’t able to put their roots into the soil, leading to water stress and nutrient shortages
- some cacti grow epiphytically on trees

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88
Q

population size symbol

A

N

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89
Q

population density symbol

A

N/area

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90
Q

why do we care about understanding population size, N?

A
  • natural resources management (eg size of fish stocks in the ocean, abundance of outbreaking insect pests in forests)
  • conservation: population decline of a species
  • health: monitoring populations of viruses or bacteria in humans
  • understanding and predicting human population growth
  • basic science question of what limits population growth
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91
Q

Population declines in Myotis lucifugous bats due to white nose syndrome (WNS)

A
  • novel pathogen (fungus) emerged in bat population, causing a disease caused white nosed syndrome and really high mortality.
  • steep decline in no of over-wintering bats
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92
Q

HIV population dynamics in humans - draw graph of CD4 cells over time

A
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93
Q

Malthus’ essay on population growth

A

in 1798, Malthus published an essay on the principle of population, arguing that the human population cannot grow faster than food production

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94
Q

Paul Ehlrich

A

published The Population Bomb, arguing that explosive growth in the human population would have catastrophic social and environmental consequences

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95
Q

how is the human population expected to change in the future?

A

demographers project that human population is soon going to peak, then fall dramatically (depopulation)

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96
Q

goals of most population models

A
  • predict the trajectory of population growth through time, i.e. N as a function of t
  • how many individuals are in the population now? Nt
  • how many individuals are in the population one step later? N(t+1)
  • so the general model is N(t+1) = fN(f)
  • challenge: choosing simple but realistic parameters for f
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97
Q

when using differential equations, time steps are

A

infinitesimally small: use concept of limits and calculus; growth is smooth; best suited for species with continuous reproduction

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98
Q

when using difference equations, time steps are

A

discrete units (days, years, etc); use iterated recursion equations; growth is stepwise and bumpy; best suited for episodic reproduction

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99
Q

two types of time step approaches

A

continuous-time and discrete-time

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100
Q

how do we pick between the two time-step approaches?

A

different organisms might be better fit by one or the other

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101
Q

simple bookkeeping model: how can N change from Nt to Nt+1

A

D = number who die during one time step
B = number born during one time step
E - number who emigrate during one time step
I = number who immigrate during one time step

Nt+1 = Nt - D + B - E + 1

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102
Q

what variables can we consider to be equivalent?

A
  • birth and immigration (ie individuals added to the population)
  • death and emigration (ie individuals that disappear from the population)
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103
Q

geometric growth model

A
  • assume no immigration or emigration
  • treat birth and death during one time step as per capita rates that are fixed constants
  • then, population changes by a constant factor each time step: N(t+1) = λNt
  • λ is a multiplicative factor by which population changes over one time unit = ‘finite rate of increase’
  • λ = Nt+1/Nt
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104
Q

if λ>1,

A

birth exceed deaths and population grows

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105
Q

if λ<1

A

deaths exceed births and population shrinks

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106
Q

N1 =

A

λN0

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107
Q

N2 =

A

λN1 = λλN0

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108
Q

N3 =

A

λN2 = λλN1 = λλλN0

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109
Q

so how can geometric growth be generalised

A

Nt = N0λ^t

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110
Q

exponential growth

A
  • instantaneous, fixed per-capita rates of birth and death (b and d)
  • instantaneous, per-capita rate of population change = b-d=r (a constant)
  • r = intrinsic rate of increase
  • differential equation is dN/dt = rN
  • this model is exponential growth
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111
Q

draw a table comparing discrete-time and continuous time growth models

A
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112
Q

find the relationship between r and λ

A

lnλ=r

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113
Q

regardless of which model is adopted, the important consequence is the same

A
  • in both models, the growth rate (λ or r) is a constant that simply reflects biology
  • but a constant positive growth rate produces a population growth size that is not constant, but rather exploding in an exponential way
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114
Q

all species…

A
  • have the potential for positive population growth under good conditions (λ>1.0, births exceed deaths)
  • have the potential for negative population growth under bad conditions (λ<1.0, deaths exceed births)
  • but no species has ever sustained λ>1 or λ<1 for a long period
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115
Q

why is exponential growth a bad model of reality over the long term?

A
  • some factors use tend to keep populations from exploding or going extinct
  • two kinds of factors may be acting: density dependent regulation (growth depends on N) or density-independent reduction
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116
Q

how can we model the classically, density-dependent growth?

A

the logistic equation; an exponential growth with a new term added for brakes
dN/dt = rN(1-N/k)

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117
Q

use bacteria as an example of two types of growth

A
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118
Q

The logistic braking term models… (draw graph)

A

the simplest form of density dependence

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119
Q

K

A

carrying capacity of the environment

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120
Q

logistic trajectories are truly
S-shaped only when

A

starting from low numbers

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121
Q

label an N vs t graph

A
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122
Q

logistic model pros

A
  • Mathematically tractable model of intraspecific competition for resources
  • Simple (only one extra parameter, K, beyond exponential)
  • Can be expanded to consider multispecies competition
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123
Q

logistic podel cons

A
  • Too simple: specifies one particular kind of
    density dependence
  • Always a gradual approach to carrying
    capacity
  • In reality, density-dependence is likely
    to be non-linear, may see overshoots of K
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124
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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125
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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126
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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127
Q

meerkats

A

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

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128
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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129
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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130
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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131
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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132
Q

elephants

A

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

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133
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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134
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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135
Q

variation in fecundity and survivorship with age is summarised by

A

life tables of age-specific rates

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136
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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137
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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138
Q

demographic transition undergone in Canada

A

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

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139
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

140
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
141
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
142
Q

age classes denoted by

A

subscript x

143
Q

lx =

A

probability of being alive at age x

144
Q

l0 =

A

1.0 by definition

145
Q

survivorship curve

A

graph of lx vs x

146
Q

lx necessarily declines with

A

x

147
Q

shape of lx curve

A

characteristic of species

148
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

149
Q

real shapes of survivorship curves + example diagram

A

more complex

150
Q

real human data example from Statistics Canada

A
151
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
152
Q

net reproductive rate

A
  • average (expected) number of daughters a female has in her lifetime = R0
  • R0 = Σlxmx
153
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

154
Q

R0 is like

A

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

155
Q

in epidemiology, R0 is

A

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

156
Q

generation time, T

A

average age at which a female gives birth
T = Σxlxmx/R0

157
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)
158
Q

how are growth rate and fitness related?

A

generally, organisms with higher growth rates have higher fitness

159
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

160
Q

plant life history category table

A
161
Q

example of obligate semelparity

A
162
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

163
Q

semelparous fish lay larger eggs, but only if

A

they grow large enough

164
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
165
Q

advantage of synchrony

A

infrequent pulses of reproduction = predator satiation tactic

166
Q

iteroparity plus local synchrony

A

masting
eg quercus douglasii

167
Q

K strategy vs r strategy

A
168
Q

Outcome of competition

A

hurts both species

169
Q

Outcome of predation

A

benefits predators, but hurts prey

170
Q

Outcome of host-parasite and plant herbivore interactions

A

same as predation - positive and negative

171
Q

Outcome of mutualism

A

helps both species

172
Q

Interactions between species are often classified by

A

their outcome (+ or -)

173
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)
174
Q

Intra-specific competition

A

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

175
Q

Inter-specific competition

A

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

176
Q

Scramble/exploitative competition

A

depletion of a shared resource

177
Q

Contest/interference competition

A

direct interactions, such as battles over territory

178
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
179
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
180
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

181
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

182
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
183
Q

give the equation for Lotka-Volterra model

A
184
Q

α(ij) =

α(ji)

A

per-capita effect on i by j

per capita effect on j by i

=> competition coefficient

185
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
186
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
187
Q

meaning of Equilibrium for Lotka-Volterra competition

A

N’s are no longer changing

188
Q

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

A

values of K’s and α’s

189
Q

coexistence requires

A

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

190
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)
191
Q

define stability

A

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

192
Q

define coexistence

A

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

193
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)
194
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

195
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?

196
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
197
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

198
Q

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

A
199
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
200
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
201
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)

202
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)
203
Q

interactions in which one organism consumes all or part of another

A
  1. predation/carnivory:
    - prey is killed
    - predator generally larger than prey
    - multiple prey individuals per predator
  2. grazing/herbivory:
    - plant survives, usually
  3. parasitism/disease:
    - host may or may not survive
    - host generally larger than parasite
    - multiple parasites per host
204
Q

Brood parasites

A
  • some birds lay eggs in the nests of other bird species, avoiding the costs of parental care
  • often involves brood mimicry, in which parasite eggs evolve to resemble host eggs
205
Q

Lotka-Volterra models for predator-prey interaction tend to..

A

cycle
- similar to competition models: two differential equations
- predict couples, lagged population cycles
draw diagram

206
Q

most common lab result for cycles in predator-prey interactions

A

predator and prey do not coexist, interaction is unstable.
For Huffaker to achieve 3 cycles was a triumph of persistence

207
Q

most famous predator-prey cycles outside the lab

A

Lynx and Hare

208
Q

why are Lynx-hare cycles not simple Lotka-Volterra predator-prey cycles?

A

additional factors probably include:
- heavy browsing degrades quality of plant food available to hares - hares may also be cycling with food plants
- social stresses in overcrowded hare populations

209
Q

give an example of a disease cycle

A

measles before vaccination
- number of measles cases between 1944 and 1966 cycled
- in outbreak years, where there are many infections, most people would recover from the infection and become immune
- after an outbreak year, the measles couldn’t infect many new hosts
- once enough babies were born, the measles would spread again
- cycles driven by no of susceptible and immune humans in the population

210
Q

describe how COVID cycles in humans

A
  • waves of COVID cases were thought to be caused by human behaviour changes
211
Q

antagonistic co-evolution

A
  • coevolution = reciprocal adaptation
  • prey evolve defences; predators evolve counter-adaptations to overcome defences
  • frequently described as an ‘arms race’
  • key to the ‘red queen hypothesis’
212
Q

red queen hypothesis

A

species must constantly adapt, evolve, and proliferate in order to survive while pitted against ever-evolving opposing species

213
Q

Garter snake and rough-skinned newt

A
  • Pacific newts (Taricha) make a poison called tetrodotoxin (TTX) that is extremely toxic to many predators
  • garter snakes (Thamnophis) have evolved resistance to TTX

in populations where newts are more toxic, snakes are more resistant to TTX

214
Q

Life-dinner principle

A
  • predator–prey interactions are characterised by unequal selection pressures operating on the participants.
  • one party is ‘running for their life’ and the other merely for their dinner
215
Q

give examples of victim defences

A
  • prey morphology, chemistry, behaviour
  • plant secondary chemicals
  • human immune system
  • Daphnia ‘helmets’
216
Q

inducible defenses

A

defences turned on in response to threats or attacks

217
Q

Impact of competition on biodiversity

A

Competition tends to decrease biodiversity;
superior competitors exclude inferior
competitors

218
Q

How does predation affect
species diversity in a
community?

A

Classic example is Paine’s
Pisaster (sea star) experiment in the rocky
intertidal
- Pisaster predation prevents mussels from competitively excluding other species in rocky intertidal communities, maintaining biodiversity

219
Q

How do predators and parasites influence biological invasions?

A
  • invasive species achieve high population sizes and have negative effects on the communities they invade
  • enemy release hypothesis: invaders’ impacts result from having fewer natural enemies (predators, parasites, or pathogens) in their new range, compared to their native range
220
Q

example of how predators and parasites influence biological invasions

A

fungal and viral pathogens of 473 plant species that have been introduced from Europe to North America is much lower in naturalised environment than native environment

221
Q

describe the life cycles of parasites

A
  • some parasites have a single host species - direct life cycle
  • many parasites require two or more host species to complete their life cycle = complex life cycle
  • the parasite that causes malaria passes through two hosts, a mosquito and a human
222
Q

vectors

A

hosts that transport parasites to their next shot

223
Q

zoonotic diseases

A

diseases transferred between animals and humans

224
Q

host species of zoonotic diseases

A

reservoirs

225
Q

what affects parasite abundance and transmission?

A

distribution, life history traits, and behaviours of hosts

226
Q

How is disease risk to humans, livestock, or wildlife affected by the broader ecological community?

A

Competing ideas:
- Dilution effect: for diseases that infect many hosts, host diversity can “dilute” disease risk to humans or animals
- Amplification effect: more host or vector species can support larger populations of disease-causing organisms, increasing risk to humans or animals§

227
Q

Amplification effect: malaria

A
  • The malaria-causing parasite Plasmodium falciparum is vectored by many species of Anopheles mosquitoes
  • study region in Kenya examined four mosquito species: A. arabiensis, A. funestus, A. gambiae, and A. merus
  • positive relationship between mosquito species richness and prevalence of malaria in Kenya schoolchildren
228
Q

Latitudinal gradient in species richness

A

Species richness, or biodiversity, increases from the poles to the tropics for a wide variety of terrestrial and marine organisms

229
Q

Latitudinal gradient in human pathogen species richness

A

On average, tropical areas harbor higher pathogen species diversities compared to more temperate areas.

230
Q

Mutualism vs Symbiosis

A

symbiosis = living together
mutualism = beneficial interaction for both species

231
Q

what does mutualism typically involve?

A

reciprocal exchange of goods or services between species

232
Q

3 types of mutualisms

A
  • nutritional
  • defensive
  • dispersal
233
Q

nutritional mutualisms

A
  • legumes and rhizobia: exchange fixed C for fixed N
  • plants and mycorrhizal fungi: exchange C for P
234
Q

defensive mutualisms

A
  • ants and plants: exchange protection for food (eg extrafloral nectar) or housing
  • cleaner fish and client fish: exchange parasite removal for food
235
Q

dispersal mutualisms

A
  • plants and animal seed dispersers: exchange seed dispersal for food
  • plants and animal pollinators: exchange gamete dispersal for food
236
Q

mutualism between humans and free-living wild animals

A
  • Yao people in Mozambique harvest wild honey, but can’t find bees’ nests easily
  • honeyguides (Indicator indicator) eat bees wax and know where nests are, but can’t access them easily
  • honeyguides recognise the specific sound that Yao honey-hunters make to attract them
237
Q

how would you change Lotka-volterra equations to model mutualism?

A
238
Q

constraints of the Lotka-Volterra models of mutualism

A

both populations undergo unbounded exponential growth in an orgy of mutual benefaction

239
Q

what limits the population growth of mutualists?

A
  • strong intra-specific competition
  • a third species such as a predator or a competitor
  • diminishing returns to mutualism as the population grows
240
Q

invasions meltdown

A
  • positive feedback between mutualists tends to generate runaway population growth
  • if two invasive species interact as mutualists, they may facilitate each other’s spread
241
Q

Spring ephemerals

A
  • perennial understory herbs that flower right after the snow melts, producing a short-lived ‘carpet of flowers’
  • have seeds dispersed by ants
242
Q

elaiosome

A

fleshy appendage on seeds of spring ephemerals that attracts ants - rich in fats

243
Q

experiment on seed dispersal by ants

A

Prof. F wanted to compare seed dispersal by a native seed-dispersing ant (Aphaenogaster rudis) and an invasive seed-dispersing ant, (Myrmica rubra)
- she placed one type of plant in each mesocosm, then added a bunch of native and invasive seeds for the ants to disperse
- with native ant, mostly native plants were dispersed
- with invasive ant, mostly invasive plants were dispersed

244
Q

Myrmica rubra

A

native to Europe, where it disperses many seeds

245
Q

Cleaner fish (Labroides dimidiatus)

A
  • Cleaner fish feed on ectoparasites on the bodies of client fish; cleaners gain food, clients benefit from fewer parasites
  • Cleaners often have “cleaning stations” (territories) that clients visit
  • Experimentally removing cleaner fish increases parasite (gnathiid) abundance on client fish
246
Q

effect of the presence of cleaner fish in reefs

A

affects species diversity of other reef fish
- when cleaners were removed, the number of fish species went down
- when cleaners were added, number of fish species went up
- presence of cleaner fish attracts client fish

247
Q

Darwin’s orchid, Angraecum sesquipedale

A
  • epiphytic orchid from Madagascar with a very long nectar spur
  • Darwin famously predicted that it must be pollinated by an insect with a very long proboscis (sucking mouthpart)
  • Alfred Russel Wallace drew a moth like this
  • Xanthopan morganii praedicta was discovered in 1903
248
Q

Reciprocal adaptation (coevolution) between flowers and insects

A

how is long proboscis/floral tube beneficial?
- when nectar spur of the plant is longer than the mouthpart of the insect, this forces the insect to get deep into the flower in order to drink all the nectar
- this forces the insect to contact the pollen-receiving parts of the flower, improving pollination
- pollinators with longer mouthparts are able to get more food

249
Q

Bacterial endosymbionts in aphids

A
  • aphids feed on phloem sap that is rich in sugars, but poor in essential amino acids
  • aphids have intracellular bacteria (Buchnera) that provide their hosts with essential amino acids
  • Buchner are vertically transmitted; they are passed in aphid eggs from mothers to offspring
250
Q

what is a feature of vertically transmitted endosymbionts?

A
  • Buchnera has a much smaller genome than free-living bacteria (eg E.Coli); other endosymbiotic bacteria also have tiny genomes
  • in humans; mitochondrial genome is ~17000 base pairs (and encodes just 27 genes); nuclear genome is >3 billion base pairs
  • endosymbiotic bacteria lose genes that they no longer need
251
Q

why do endosymbiotic bacteria lose genes that they no longer need

A
  • some functions unnecessary because bacteria are no longer free-living; bacteria protected inside host cells
  • other functions outsourced to host genome
252
Q

are mutualisms often highly specialised?

A
  • Most aphid species have their own species of Buchnera bacteria
  • But most mutualisms are NOT tightly coevolved, species-specific interactions
  • Most mutualisms are horizontally transmitted; partners are acquired anew each generation
  • Mutualisms are rarely one-to-one interactions; usually many-to-many interactions
253
Q

current areas of mutualism research

A
  • Understanding networks of interactions among large numbers of species
  • Microbiomes: this term refers to either all the microbes living together in a community (often, a host) or their collective genomes
254
Q

do plants only have one pollinator species?

A

no, most plants have many pollinator species, and most pollinators visit many plant species

255
Q

how can we characterise microbial diversity in a host (or environmental sample)?

A
  • culture-based methods
  • sequencing based methods
256
Q

sequencing-based methods

A
  • Sequence a highly conserved (i.e., slowly
    evolving) gene, usually the bacterial 16S rRNA gene
  • Use DNA sequence data to identify microbes
  • Frees us from having to culture microbes in order to study them
257
Q

mammal gut microbiomes reflect

A

diet, phylogeny, and morphology

258
Q

primary producers

A

plants

259
Q

primary consumers

A

herbivores

260
Q

secondary consumers

A

carnivores who eat herbivores

261
Q

tertiary consumers

A

carnivores who eat secondary consumers (predators)

262
Q

decomposers

A

eat dead organic matter

263
Q

what does the pyramid shape represent?

A

decreasing biomass in higher trophic levels

264
Q

describe indirect effects in food webs/chains and give an example

A
  • one species alters the effect that another species has on a third
  • eg exploitative or scramble competition, if the contested resource is a species
265
Q

trophic cascades: HSS

A

interactions between two trophic levels cascade to a third trophic level

266
Q

why is the world green?

A
  • Hairston, Smith, Slobodkin (1960) proposed the green world hypothesis
  • states that carnivores keep down herbivores so herbivores don’t limit plant growth
267
Q

how is the green world hypothesis an example of an indirect effect?

A

one trophic level exerts influence on a second by affecting a third

268
Q

top down control

A

abundances kept low because of predation
- experimental test = predator removal

269
Q

bottom-up control

A

abundances kept low because of resource limitation
- experimental test = resource addition

270
Q

solid lines for trophic cascades

A

direct effects

271
Q

dashed lines for trophic cascades

A

indirect effects

272
Q

compare indirect and direct effects

A
  • indirect effects can be as strong as direct effects
  • outcomes are not fundamentally predictable; this depends on interaction strengths
  • experiments are needed (perhaps long term)
273
Q

where does much biodiversity reside?

A

plants and insects

274
Q

why are there so many species of insects and plants?

A
  • Coevolution
  • Niche specialization
  • Rapid reproductive cycles
  • Habitat diversity
  • Polyploidy in plants
  • Metamorphosis in insects
  • Geographic and climatic stability
  • High mutation and adaptation rates
275
Q

difficulties of herbivory as opposed to carnivore

A
  • animal tissues are easy to convert into animal tissues
  • plant tissues are hard to convert into animal tissues
276
Q

3 difficulties of plant tissues

A
  • cellulose and lignin are tough and indigestible without microbial symbionts
  • plant tissues are heavily defended against herbivores
  • coevolutionary race between plants and insect herbivores is responsible for much of biodiversity: specialisation is common
277
Q

example of plant defences against herbivores

A

milkweeds exude distasteful white sap if damaged
- most generalist insects can’t eat milkweeds, but specialists can evade defences
- milkweed-feeding specialist monarch butterfly larva cut leaf midrib to reduce sap pressure before eating
- caterpillars don’t detoxify the poison, but sequester it in their cuticle, making themselves poisonous and distasteful

278
Q

brightly coloured insects

A
  • frequently toxic
  • warning coloration
279
Q

plant-herbivore interactions as an arms race

A
  • plants evolve toxins to reduce herbivory; insects evolve detoxification or other mechanisms to overcome plant defences
  • many types of secondary chemicals (esp alkaloids) often deter generalist herbivores
  • no plant species is toxic enough to escape from specialist herbivores
  • specialist insects may evolve to use defence chemicals as feeding stimulants or defence compounds

result: escalation, arms race!

280
Q

why do we think plants taste ok?

A

our food crops have been selected for low toxicity

281
Q

how are plant defensive compounds important to humans?

A
  • many plant secondary chemicals have diverse, potent biological activities
  • some alkaloids are important to us
282
Q

examples of useful alkaloids for humans

A

coffee - caffeine
coca - cocaine
tobacco - nicotine
opium poppy - morphine

283
Q

in what ways are challenges and solutions different for vertebrate herbivores?

A
  • Many insects complete development on a single, often well-defended plant; they must overcome plant defences
  • Vertebrate grazers often eat some plant tissue, and then move on to another plant
  • Vertebrate herbivores often select mixed diets containing foods processed by different
    detoxification pathways, thereby avoiding high doses of any one toxin
  • Some detoxification by microbes in fermenting chambers
284
Q

rumen

A

foregut

285
Q

cecum

A

hindgut

286
Q

what produces unlimited diversification?

A

physical environment isn’t complex enough to produce extraordinary species diversity
interactions with other organisms do this

287
Q

why do plants around a pond with fish get better pollination and bees?

A

there are fewer dragonflies

288
Q

two examples of complex networks of species interactions in ecological communities

A
  • parasite-herbivore-plant network (Costa Rica)
  • plant-pollinator network (Greenland)
289
Q

why do lizards benefit plants?

A

because of unequal interaction strengths:
- effect of lizards on spiders is week
- effect of lizards on herbivores is strong
- lizards reinforce the effect of spiders

290
Q

lizards eat

A

spiders and herbivores

291
Q

spiders eat

A

herbivores

292
Q

what do Anolis lizards eat?

A

spiders and beetles

293
Q

Spiller and Schoener 1992

A

replicate Caribbean islands; remove Anolis lizards

294
Q

major threats to biodiversity

A
  • habitat destruction
  • overexploitation
  • invasive species
  • pollution
  • climate change

often have synergistic effects

295
Q

what four things can result from environmental change?

A

acclimation, adaptation, range shifts or extinction

296
Q

give 4 examples of changes to the environment due to humans

A
  • ice disappearing
  • forests cut down
  • primates sold as pets or bushmeat
  • mercury put in rivers
  • microplastics
297
Q

effects of increasing atmospheric CO2 levels in the last century

A
  • human activities adding more CO2
  • intensifies greenhouse effect and causes global warming
  • global temperature has increased dramatically
298
Q

how is climate changing other than temperature?

A
  • circulation patterns are changing: Hadley cells get stronger and therefore larger, causing desert belts shifting poleward beyond 30 degrees
  • extreme weather events becoming more frequent
299
Q

what happens to organisms as the climate changes?

A

acclimatisation through phenotypic plasticity
adaptation to new conditions
range shift migration to suitable conditions
extirpation, which is global or local extinction

300
Q

acclimation

A

Early or gradual exposure to environmental stress can reduce its negative impacts
- Porcelain crabs (Petrolisthes) acclimated
to cold temperatures function better at colder temperatures
- But acclimation to warm temperatures increases high-temperature tolerance only minimally

301
Q

give an example of how climate change is more than just the direct effects of warming

A

Snowshoe hares (Lepus Americans) are white in winter and brown in summer
Coat colour is important for reducing predation, and white animals are conspicuous against a snowless background

302
Q

Mills et Al.

A
  • studied snowshoe hares in western Montana over 3 consecutive winters
  • radio-collared hares and performed weekly measurements of coat colour and snow around each hair
  • wanted to determine whether there I sufficient, current plasticity in the initiation or rate of coat colour change to reduce mismatch and respond to changes in snow cover
303
Q

Mills et Al. results

A
  • it is getting cooler later in the fall and warmer earlier in spring
  • in general, snow is arriving later and leaving earlier
  • there is little variation in fall coat change; there is more variation in spring coat change
304
Q

so, will plasticity alone in coat colour change able to respond to changes in conditions?

A

No, there is not enough plasticity to avoid mismatches
- projections of future snow duration show there will be greater mismatch between snowshoe hare coat colour and its background

305
Q

how is coat colour mismatch predicted to affect hare population growth?

A

predicted to slow it

306
Q

so, will hares adapt?

A

open question; depends on the amount and type of genetic variation underlying the timing of coat colour change

307
Q

range shifts

A
  • species moving polewards
  • also up mountains
308
Q

give an example of an animal that can’t go up mountains

A

pikas; death zone at low altitude

309
Q

the Great Basin

A

many small mountain ranges, green ‘sky islands’ in a matrix of desert

310
Q

are pikas threatened by climate change?

A

The elevational range of American pikas in the Great Basin is getting smaller
- Sites where pikas have gone locally extinct often had temperatures above 26°C, which can be lethal to pikas (if they cannot behaviourally thermoregulate)
- The American pika was under consideration to be listed as an endangered species in the US (but the US ultimately decided against it)
- On the other hand, American pika populations in the Rocky Mountains and elsewhere appear to be healthy
(Smith et al. 2020)
- In Canada, the Collared pika (which lives in the Yukon, Northwest Territories, and BC) is federally designed as a species of “Special Concern’

311
Q

example of landscapes defeating migrations

A

Pronghorns can run but not jump. Whole herds have been killed at fences in the winter

312
Q

is extinction reversible

A

no

313
Q

most extinction models ignore

A

many factors thought to be important in determining future extinction risks such as species interactions, dispersal differences, evolution

314
Q

Dispersal

A

movement from one population to another

315
Q

dispersal allows organisms to:

A
  • colonise new areas
  • escape competition
  • avoid inbreeding depression
316
Q

in animals, dispersal relies on

A

active movement - running, flying, etc

317
Q

how are plants able to disperse?

A

they have evolved traits that aid dispersal:
- sweet, fleshy fruit is an adaptation that attracts animal seed disperses
- other seeds are dispersed by wind or water

318
Q

Describe how dispersal is important for colonisation of new habitats

A
  • postglacial colonisation depends on plant and animal dispersal
  • most of Canada was under ice ~12,000 years ago
  • range shifts in response to climate change depend on dispersal
  • islands
319
Q

Metapopulation

A

a population of populations - a collection of specially distinct populations that are connected via dispersal

320
Q

how is dispersal involved in the formation of metapopulations?

A
  • dispersal connects populations
  • We call each spatially distinct population a patch
321
Q

describe how metapopulation structure can allow population persistence even when individual populations are doomed

A
  • local populations can be reestablished by colonists from other populations after going extinct
322
Q

source-sink dynamics

A

Source-sink dynamics:
* ‘Sinks’ are populations in small habitat
patches that would go extinct, except …
* Migrants from ‘source’ populations ‘rescue’
these populations

323
Q

Oceanic Island - single island level

A
  1. some prey colonize empty island
  2. prey quickly grow toward carrying capacity
  3. some predators arrive and reproduce rapidly
  4. predators drive prey to extinction
  5. predators starve, island is empty
324
Q

single island system

A

At the island level, this
system is inherently
unstable: both species
go extinct

325
Q

archipelago of many such islands, each at a different stage, with some dispersal possible

A
  • a group of weakly coupled, locally unstable
    systems can be globally stable
  • The coupling is provided by occasional dispersal between islands
326
Q

patch dynamics

A
  • akin to population dynamics, except:
  • instead of individuals in a population, we track patch occupancy through time
327
Q

give a simple case for patch dynamics

A
  • a large number of identical patches
  • ignore population size within patches
  • populations within patches go extinct at some constant rate e
  • colonisation of patches is affected by P and 1-P
  • colonisation rate is thus cP(1-P), where c is a constant
328
Q

colonisation of patches is affected by:

A
  • the fraction of currently occupied patches, P
  • higher P = more sources for colonisers
  • the fraction of empty patches, 1-P
  • as patches fill up, there are few patches available to colonise
329
Q

Levin’s patch occupancy model

A

differential equations

330
Q

equilibrium patch occupanc7

A

when overall colonisation rate and overall extinction rate intersect

331
Q

what does meta population structure facilitate?

A

species persistence and coexistence
- of a single species (eg tiger salamanders)
- of predators and prey
- of competitors

332
Q

describe how meta population structure facilitates coexistence of competitors

A
  • say A always outcompetes B within a habitat patch, so local coexistence is impossible
  • global coexistence requires:
  • A must sometimes go extinct in a patch or new patches must be created from time to time
  • B must be a better disperser than A
  • so B must be a fugitive, tramp, weedy, opportunistic, transient species
  • a competition-colonisation trade-off
333
Q

Pikas as an example of meta populations

A
  • Bodie, California
  • mining ghost town
  • Andy smith’s pika research site
  • 1972 - present
  • tailing piles from hard-rock mining create many small replicated patches of pika habitat
334
Q

general conclusions on species coexistence

A
  • populations can be driven to extinction in several ways
  • but these tendencies are countered and the paradox of the plankton is resolved
335
Q
  • populations can be driven to extinction in several ways
A

Stochasticity: chance fluctuations in population numbers
- Competitive exclusion
- Through predator-prey (or host-parasite, etc.) interactions
- Allee effects at low density

336
Q

but these tendencies are countered and the paradox of the plankton is resolved

A

Predation keeping competitive exclusion from going to completion (as in Paine’s sea star removal experiment)
- Non-equilibrial conditions, habitat patchiness, rescue-
by-migration, variation in life-history strategy (as in a competition-colonization trade-off)

337
Q

meta community

A

a set of local communities linked by the dispersal of one or more of their constituent species

338
Q

What determines the number of
species on an island?

A

Three processes:
* Colonization: a species can arrive on an island from elsewhere
* Extinction: a species can go locally extinct on an island
* In-situ speciation: a lineage can split in two on an island, but this is a very slow process …

339
Q

MacArthur and Wilson’s theory
of island biogeography

A

Goal: predict the number of species on an island from the island’s size and isolation (distance from mainland)
* Ignored in-situ speciation; only considered colonization and extinction

340
Q

draw theory of island biogeography in graphs

A
341
Q

why colonisation rate decreases as no of species increases

A
  • the fewer the number of species, the more likely a migrant will be a new species
342
Q

why extinction rate increases as no of species increases

A

more competition

343
Q

near island vs far island

A
  • near island has higher colonisation rate than far island as it is easier to get to
  • so has more species at equilibrium
344
Q

large island vs small island

A
  • extinction rate higher at small islands
  • have fewer resources and can support smaller population sizes
  • so have less species at equilibrium
345
Q

is this model effective for species richness?

A
  • Mahler studied anolis lizards
  • species richness of anoles increase with area and decrease with isolation
346
Q

when else does island biodiversity apply?

A

habitat fragmentation creates ‘islands’ of suitable habitat within an inhospitable matrix