What are behavioural decisions?
Response of individuals to current internal constraints and external conditions
What is an example of a chipmunk making behavioural decisions based on Internal constraints and external conditions?
Can take a chipmunk and expose it to threat and it will hide, bribe it with food and then expose it to a cue and it will continue to forage.
What is an example of a Siberian Hamster making behavioural decisions based on Internal constraints and external conditions?
Present a Siberian hamster out of mating season with a risk, they will burrow and hide, but during mating season, they ignore risks bc lost opportunity of mating is massive in Siberian Hamsters (24 hours once a year, so if it misses this, then they will likely never reproduce)
-> So they make a behavioural trade-off
What do responses of individuals to current internal constraints and external conditions (behavioural decisions) imply (4 things)?
1) Behaviour of animals is adapted through natural selection
2) Behaviour is flexible, most plastic of all phenotypes
3) All behaviour has some associated cost and benefit, can be measured and modeled
4) Individuals should respond in a pattern that will maximize benefits associated with that response and/or minimize costs associated with that response
Why couldn’t traditional approaches fully explain flexible behaviour patterns?
Bc the use of ‘motivation’ didn’t fully explain why we observe flexible behaviour patterns; there is no linked b/w ‘motivation’ and adaptive value (functional benefit of these behaviours)
What did Hamilton and Maynard-Smith both argue in regards to flexible bahviour?
They both argued for the use of economic theory to explain and predict behaviour: cost/benefit analysis applied to making predictions on animal behaviour.
How can game theory model be used to predict behaviour?
What are optimality models based on?
They’re based on the assumed (or calculated) costs and benefits of behaviour a pattern.
- Costs = both constraints and conditions
- Benefits = immediate or life time fitness
Give 3 reasons why we use models?
1) Allows us to generalize things
2) Formalize hypothesis
3) Make testable predictions
what are the defined costs and benefits in the example of parental starlings foraging that explains why we assume optimality?
Costs: Search time to find food, foraging time (time it takes to gather food)
Benefits: more food = increased growth and survival of young, foraging locally = reduced energy expenditure
what are the main question asked in the example of parental starlings foraging that explains why we assume optimality?
How many bugs should females collect in order to optimize energy gain for energy expended?
what is the theorem used in the example of parental starlings foraging that explains why we assume optimality and what was the optimal # of food items?
Model it based on the marginal value theorem: simple graphical model in which we estimate both travel time and searching time and we will predict based on the cost, what the optimal # of food items per foraging bout. 7 food: optimal point where they’re offsetting the cost with the benefit
What is another example of the optimality model used to predict load size for spice finches?
In the spice finches example of optimality, what would occur to the optimal load if we increased the # of chicks in the nest?
Require more food bc more chicks. What happens to the previous prediction, would the line shift and how if it did?
-> The line will go up bc more chicks results in a higher relative benefit of each foraging trip bc survival of more chicks, so load on average increases
What does ideal free distribution predict?
Predicts where individuals should compete for resources. So # of consumable components and how many competitors will be using the patch will depend on habitat quality
Based on ideal free distribution, what occurs in a rich habitat with an increase in competitors?
per capita rate for acquisition will decrease with an increase in competitors: So individuals will do better by shifting from rich habitat with high # of competitors to poor habitat with low # of competitors
What is another example of an optimality model used to look at fleeing costs using a model that looks at distance before prey flees?
Flight initiation distance; how far will prey let predator get before it responds:
1) Cost of fleeing is low, and cost of remaining is high = greater distance of the predator before fleeing
2) Cost of fleeing is high, and cost of remaining low = lower distance of predator before fleeing
-> If there is a cost associated with predation and it is responding to a predator, what is it missing out on? Other activities, so you can use same data on how long they will continue to respond after an attack bc time after attack is lost opportunity cost
- Cost of resuming activity
- Cost of immobility
What is an example of ideal free distribution with sticklebacks?
What is another example that shows that predictions can be made with optimality assumptions?
They look at 3 and 9 spine sticklebacks, and killifish. Looked at % of fish remaining immobile after presenting a standardized threat to a shoal of fish:
1) Fish with high armoured (3 spine) = low cost of remaining immobile = less likely to flee
2) Fish with low armour (killifish) = high cost of remaining = more likely to flee
3) Cost of activity for high armour = much higher since it’s hard for them to swim meaning it costs more energy
4) Cost of activity for low armour = low cost to move since no bulky spines so easy to swim away
Explain the Green Crab foraging optimality model
Looking at green crab foraging on mussels; can predict size of mussels they will forage on based on profitability:
- Profitability of large mussel drops bc it requires more energy to open it
- Profitability of small mussel drops bc not a lot of meat for the energy it requires to open the mussel
How can you create a test to see that the green crabs foraging on mussels are making choices based on profitability?
Give them a choice in mussel sizes and then look at the overall distribution of food resource and what has been eaten; if the dead shells (eaten mussels) differs from size in shells of alive mussels, then you can determine if they are making choices based on profitability
What are 4 problems with optimality modeling?
1) Models assume ‘optimal’ strategy; assume best possible trade-off
2) Assumes info is perfect and immediate
3) Assumes we have accounted for costs and/or benefits
4) Assumes we know what the individual is optimizing
What’s the issue with models assuming ‘optimal’ strategy; assume best possible trade-off?
Assume animals could be energy maximizers, risk minimizers or making best of a bad situation. This is a big assumption since we are predicting optimality and animals will act the way they want (might not act optimally) -> HOWEVER, Optimality models allow us to generate testable predictions
What do we call it if info is not perfect or immediate (modeling problem)?
UNCERTAINTY. We know that bc of the optimal predictions, anything that disrupts the perfect and immediate information leads to uncertainty