Chapter 11 Flashcards
Foraging
Searching for and consuming food
Search Image
Forming an image of prey so it becomes easier to find
Optimal Foraging Theory
Mathematic models used to predict animal foraging behaviors under certain constraints
Weighs the costs and benefits, predicts what an animal should do to maximize its fitness
e
lambda
h
energy provided
encounter rate
handling time
Assumptions of the prey choice model
- energy is measured in standard currency
- cant handle pray and search for next simultaneously
- prey is recognized instantly
- prey are encountered sequentially
- natural selection favors animals who maximize their energy intake
more e, less h
the more profitable
the OFT model predicts…
the most profitable prey should never be ignored
If prey 1 is more profitable than prey 2…
which one you choose is dependent on the encounter rate of prey 1
According to the Optimal Diet Model, prey 2 should only be taken if the encounter rate of prey 1…
drops below the threshold
If the ODM is true…
only take prey 1 and ignore prey 2
profitability =
e/h
Costs of staying in a patch
depletion of food
prey might be more evasive
Costs of leaving a patch
loss of energy from travel
predation during travel
time foraging lost
Marginal value theorem
model used to predict how long an animal should remain in a patch
Predictions of MVT
- gains of staying in patch decrease as a patch is depleted
- forager should stay until they can do better elsewhere, travel time included
- Forager should leave when expected gain from new patch outwheighs gain of old patch and when the greatest gain of food intake/unit of time
- the greater the distance between patches the longer the forager should stay
When you draw a tangent line along the gain curve…
the optimal time to leave is when that line intersects the gain curve
MVT assumptions
- patches are recognized by forager
- time in between is known
- gain curve is smooth, decelerating
- if travel time and gain curve are known, optimal time to leave can be predicted
Cowie study of great tits proved
as the travel time (difficulty opening cup) increased, the time in patch increased
Davies OFT study in pied wagtails proved
Animals choose highest reward regardless of availability of other options
Risk-Sensitive foraging model
Higher food variability = a higher risk of doing well or badly
How does food variance affect patch choice
3 examples of the MTV model
- Dung flies lay eggs on doo, where males wait for them, males wait until eggs are laid, how long should he wait to seek out another female.
- Parasitoid wasps stay in a patch longer with a lot of hosts, they deplete patches to the same leave, How long should the wasp stay.
- How long should a cheater remain in a patch to exploit cooperators
Risk sensitive foraging model predicts…
Animals hunger state affect which patch they choose
Hungry-risk prone-variable
Satiated averse, consistent
If you require some food…
consistent patch = 100% to get enough
variable patch = 50% to get enough
If you require a lot of food
consistent patch = 0% to get enough
Variable patch = 50% to get enough