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Leafcutter Ants 
Austen Hilding, Zoe Gerber, Kat Kurtenbach, 
Theresa Thao Nguyen
Atta cephalotes 
Austen Hilding, Zoe Gerber, Kat Kurtenbach, 
Theresa Thao Nguyen
Optimal Foraging Theory 
• Organisms forage in a way that maximizes energy intake 
per unit of time (most calories in least amount of time) 
• A trade-off between: 
• energy used and energy gained 
• time foraging and time being vigilant 
• Maximizes fitness 
• Minimize energy exerted 
• Equation: 
Eaverage / (haverage + saverage) 
E = Energy, h = handling time, s = search time
In other animals 
• The Optimal Foraging Theory has also been applied 
to copious amounts of other species to explore and 
explain behavioral patterns 
• Ex: A study assessed the optimal foraging decisions 
for the common crow, Corvus caurinus, in catching 
Japanese-little-necked clams. Finding these clams 
requires the crow to probe in the sand for an 
average of 34.6 seconds. The results of the study 
showed that the best foraging strategy was for 
crows to wait to consume clams above 28.5mm 
rather than waste energy on smaller clams that are 
less profitable.
Natural History of Leafcutter Ants 
• Ants collect leaf fragments and create a mulch to 
cultivate a fungus garden 
• Ants are separated into different castes depending on 
size 
• Soldiers guard the entrance to the nest or scout for 
predators 
• Workers (all female) consist of media and minima 
• Media with powerful jaws cut the leaves and return 
them to the nest 
• Minima prepare the leaf fragments to be fed to the 
fungus garden 
• Ants are able to navigate between the source of leaves 
and the nest in a process called tandem running
Why these leafcutter ants were 
convenient for measuring OFT 
• Prey (in this case, leaf fragments) were consistent 
• No toxins 
• No variability 
• Trails are visible 
• Can manipulate biomass 
• Numerous amount of this species available to 
experiment on 
• Ants choose & cut the leaf fragments themselves 
(i.e. making the most optimal choice)
Question & Prediction 
• Whether the ants are choosing the most 
efficient leaf fragment size to maximize 
energy intake while minimizing energy 
exerted. 
• So if the optimal foraging theory applies, 
then these ants should be transporting the 
most optimal size of the leaf fragment that 
would carry the most biomass to the nest at 
the most efficient rate.
Measure 
•Weight of leaf fragments 
• Control 
•Weight reduced 
•Weight added 
• Measure carrying speed of 20cm 
• Control 
•Weight of reduced/added
Materials 
• Stopwatch 
• Tweezers 
• Scale 
• Tape Measure 
• Scissors (to cut leaf fragment) 
• Foil 
• to add weight 
• to create a burrito for the ant to 
prevent them from moving!)
Our Methods
Measure 20cm
Time
Control Ants
Ants w/ weight reduced
Ants w/ foil Added
30 ants per treatment
Remove all minima!!!!
Weigh on Scale 
• Ants 
• Leaf fragment 
• Reduced Leaf 
Fragment 
• Tin foil 
#Richard
Record 
Data 
(& try 
to look 
smart)
Results 
14 
12 
10 
8 
6 
4 
2 
0 
Reduced Whole 
(Sec) 
t = 3.018, df = 30, 
p-value = 0.0051 (significant)
Results 
Efficiency (g/sec) 
t = 4.21, df = 30, 
P-value = .00022 (significant)
Results 
Foil Leaf 
(Sec) 
t = -4.32, df = 29, 
p-value = .00016 (significant)
Results 
Efficiency (g/sec) 
t = -1.71, df = 29, 
p-value = .098
Discussions 
• According to our results, ants carrying a reduced size of the 
leaf fragments were not foraging as optimally as those 
carrying the original size fragments. 
• However, ants carrying leaf fragments with added weight (i.e. 
foil) were foraging as optimally or more as those carrying the 
original size fragments. 
• Possible reasons why leafcutter ants do not carry more 
weight: 
• Area factor 
• Distance factor 
• Prey factor 
• Environment (ex. wind) factor
Thank you!
Really
Ya know?

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The Effect of Leaf Fragment Size on Optimal Foraging in Atta cephalotes

  • 1. Leafcutter Ants Austen Hilding, Zoe Gerber, Kat Kurtenbach, Theresa Thao Nguyen
  • 2. Atta cephalotes Austen Hilding, Zoe Gerber, Kat Kurtenbach, Theresa Thao Nguyen
  • 3. Optimal Foraging Theory • Organisms forage in a way that maximizes energy intake per unit of time (most calories in least amount of time) • A trade-off between: • energy used and energy gained • time foraging and time being vigilant • Maximizes fitness • Minimize energy exerted • Equation: Eaverage / (haverage + saverage) E = Energy, h = handling time, s = search time
  • 4. In other animals • The Optimal Foraging Theory has also been applied to copious amounts of other species to explore and explain behavioral patterns • Ex: A study assessed the optimal foraging decisions for the common crow, Corvus caurinus, in catching Japanese-little-necked clams. Finding these clams requires the crow to probe in the sand for an average of 34.6 seconds. The results of the study showed that the best foraging strategy was for crows to wait to consume clams above 28.5mm rather than waste energy on smaller clams that are less profitable.
  • 5. Natural History of Leafcutter Ants • Ants collect leaf fragments and create a mulch to cultivate a fungus garden • Ants are separated into different castes depending on size • Soldiers guard the entrance to the nest or scout for predators • Workers (all female) consist of media and minima • Media with powerful jaws cut the leaves and return them to the nest • Minima prepare the leaf fragments to be fed to the fungus garden • Ants are able to navigate between the source of leaves and the nest in a process called tandem running
  • 6. Why these leafcutter ants were convenient for measuring OFT • Prey (in this case, leaf fragments) were consistent • No toxins • No variability • Trails are visible • Can manipulate biomass • Numerous amount of this species available to experiment on • Ants choose & cut the leaf fragments themselves (i.e. making the most optimal choice)
  • 7. Question & Prediction • Whether the ants are choosing the most efficient leaf fragment size to maximize energy intake while minimizing energy exerted. • So if the optimal foraging theory applies, then these ants should be transporting the most optimal size of the leaf fragment that would carry the most biomass to the nest at the most efficient rate.
  • 8. Measure •Weight of leaf fragments • Control •Weight reduced •Weight added • Measure carrying speed of 20cm • Control •Weight of reduced/added
  • 9. Materials • Stopwatch • Tweezers • Scale • Tape Measure • Scissors (to cut leaf fragment) • Foil • to add weight • to create a burrito for the ant to prevent them from moving!)
  • 12. Time
  • 14. Ants w/ weight reduced
  • 15. Ants w/ foil Added
  • 16. 30 ants per treatment
  • 18. Weigh on Scale • Ants • Leaf fragment • Reduced Leaf Fragment • Tin foil #Richard
  • 19. Record Data (& try to look smart)
  • 20. Results 14 12 10 8 6 4 2 0 Reduced Whole (Sec) t = 3.018, df = 30, p-value = 0.0051 (significant)
  • 21. Results Efficiency (g/sec) t = 4.21, df = 30, P-value = .00022 (significant)
  • 22. Results Foil Leaf (Sec) t = -4.32, df = 29, p-value = .00016 (significant)
  • 23. Results Efficiency (g/sec) t = -1.71, df = 29, p-value = .098
  • 24. Discussions • According to our results, ants carrying a reduced size of the leaf fragments were not foraging as optimally as those carrying the original size fragments. • However, ants carrying leaf fragments with added weight (i.e. foil) were foraging as optimally or more as those carrying the original size fragments. • Possible reasons why leafcutter ants do not carry more weight: • Area factor • Distance factor • Prey factor • Environment (ex. wind) factor

Editor's Notes

  1. We chose leafcutter ants as an optimal species to test optimal foraging theory