6+7 Flashcards

1
Q

Currency

A

Surrogate of fitness

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2
Q

Assumptions

A

Animal and mats and affects relationship between classes strategy and currency

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3
Q

Currency for most

A

Long term maximisation of energy intake -calories

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4
Q

Optimal diet / prey model

Strategy
Predictions (4)

A

Attack or eat or ignore and search?

Should either specialise or generalise (no partial preferences)
Low s1 specialist and vice versa
Decision to specialise depends on s1
All or nothing - switch should be suddenly

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5
Q

Optimal diet / prey assumptions maths 3

A

Constant mean prey encounter rate
Random sequential prey order
Liner relationship between rate of energy and fitness

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6
Q

Optimal diet / prey model strategy assumptions animal

A

Instant recognition of prey
Info about prey abundance and profitability
Sequential prey encounters
Mutually exclusive search and handle time

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7
Q

Profitability

A

E/ h

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8
Q

Profitability when adding in search time

A

E/ S + h

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9
Q

E h and s mean

A

Energy value
Handling time
Search time

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10
Q

Optimal patch / marginal value theorem

Strat
Predictions 2

A

Continue to exploit patch or abandon and look for another?

Patch optimal residence time depends on t - travel between patches 
If f(t) and t are known can predict t* fromMVT 

Note you can use average patch qual if quality varies

If travel time long should spend less time in patch and take what you can and leave before you lose energy

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11
Q

Maths assumptions of optimal patch 4

A

Fixed prey density at starts and decreases exponentially
Deacceleration of rate of energy intake
Travel time function of distance between them only
Equal energy costs of travel time and and search time

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12
Q

What spp for optimal prey test

A

Paris major and mealworms

Blue gill sunfish and daphnia

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13
Q

Why partial preference in optimal diet

A

Identification problems
Experience / development
Factors influencing behaviour ie predator avoidance

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14
Q

Optimal patch assumptions animal 4

A

Instantly recognise patchees
Info ie patch quality known
Travel tie between patches known
Random distribution of prey within a patch

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15
Q

Spp for patch marginal value

A

Blue tit

Moose

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16
Q

Moose info

A

Lake shore fo sodium
Michigan Canada
3 constraunts for linéarité modèle
Sodium rumen size and energy

17
Q

Why assumptions broken for patch

A

Knowledge some may need longer to assess patch qual
Variation in rewards -can lead to risk sensitive foraging
Predator avoidance
Nutritional constraints result in trade off with energy max

18
Q

Risk of predation

A

3 spines stickelback
Daphnia 2,20,40
If predator present feed at low density

19
Q

Risk sensitive foraging info

A

For unpredictable enviro
YELLOW EYED JUNCO
Positive energy diet - risk averse 3
Negative energy diet - risk prone 6 or 0

20
Q

Positive energy diet and negative of yellow eyed junco

A

Positive - starved 1 he only 19 degrees

Neg - starved 3 hrs 1 degree

21
Q

Social exploitation

A
Tactic is to be scrounged or produced 
Spice finches 
Stable equilibrium freq = 3 
Producer always same fitness 
Scrounger fitness negative frequency dependence
22
Q

Social exploitation and spice finches

A

Barnard and sibly

1981

23
Q

Barnard and sibly when

A

1981

24
Q

Fret well and Lucus when

A

1972

25
Q

Ideal free distribution
Strategy
Predictions 2

A

Which food patch to choose given the distribution of other group members

Fm foragers distribute proportional to patch quality andresourcematching rule means you get equal pay off
For both patches as you increase number of competitors you decrease the rewards

26
Q

Ifd example spp

A

Milinskis stickleback and daphnia

1:5 and shifted

27
Q

IFD animal assumptions 3

A

Animal know quality of ALL patches so can choose best one
Can equally travel to all patches “free”
Payoff varies between patches not predators

28
Q

IFD Maths assumptions

A

Different starting densities on patches
Prey density decreases consistently
No cost to predator travel between patches

29
Q

Strategy

A

Specified behaviour options with different pay off